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A comparative investigation of the combined effects of pre processing, wavelength selection and regression methods on near-infrared calibration model performance 2017 Wan Jian, Chen Yi-Chieh, Morris A Julian, Thennadil N Suresh Appl. Spectrosc. On-Line 30/03/17 C1 Multivariate data analysis, D3 Performance monitoring DOI
A comparative investigation of the combined effects of pre-processing, wavelength selection and regression methods on near infrared calibration model performance, 2017 Wan J., Chen, Y.-C., Morris, J. A. and Thennadil, S. N Applied Spectroscopy Jul:71 (7) 1432-1446 C1 Multivariate data analysis, D3 Performance monitoring DOI
A comparative investigation of two handheld near-ir spectrometers for direct forensic examination of fibres in-situ 2021 Rashed Hamad S., Mishra Puneet, Nordon Alison, Palmer David S., Baker Matthew J. Vibrational Spectroscopy 113 103205 A1. Non-invasive Raman spectrometry DOI
A heuristic approach to handling missing data in biologics manufacturing databases 2019 Mante, J., Gangadharan, N., Sewell, D. J., Turner, R., Field, R., Oliver, S. G., . . . Dikicioglu, D. Bioprocesses and Biosystems Engineering 42 (4) 657-663 B3 Biological process analysis, D3 Performance monitoring DOI
A MATLAB toolbox for data pre-processing and multivariate statistical process control 2019 Yi G, Herdsman C, Morris J Chemometrics and Intelligent Laboratory Systems 194 103863 C1 Multivariate data analysis, D3 Performance monitoring, E1 Multivariate statistical process control DOI
A Mechanistic and Cautionary Case Study on the Use of Alternating Potential in Electrochemical Reactions 2020 Wills Alfie G., Poole Darren L., Alder Catherine M., Reid Marc ChemElectroChem 7 2771-2776 B2 Monitoring of drying and powder blending DOI
A Mechanistic and Cautionary Case Study on the Use of Alternating Potential in Electrochemical Reactions 2020 Wills Alfie G., Poole Darren L., Alder Catherine M., Reid Marc ChemElectroChem 7 2771-2776 B1 Reaction monitoring, D1 Kinetic modelling DOI
A Mechanistic Investigation of the N-Hydroxyphthalimide Catalyzed Benzylic Oxidation Mediated by Sodium Chlorite 2024 Grunshaw Thomas, Wood Susanna H., Sproules Stephen, Parrott Andrew, Nordon Alison, Shapland Peter D. P., Wheelhouse Katherine M. P., Tomkinson Nicholas C. O. The Journal of Organic Chemistry 89 7933-7945 A1. Non-invasive Raman spectrometry DOI
A micro reactor for the study of biotransformations by a cross-linked gamma-lactamase enzyme 2009 Hickey AM, Ngamsom B, Wiles C, Greenway GM, Watts P and Littlechild JA 4(4) 510-516 B3 Biological process analysis, B4 Microreactors and flow chemistry DOI
A non-linear nested partial least-squares algorithm 2005 Baibing L, Hassel PA, Morris J and Martin EB Computational Statistics and Data Analysis 48(1) 87-101
A reinforcement learning-based hybrid modeling framework for bioprocess kinetics identification 2023 Mowbray Max R., Wu Chufan, Rogers Alexander W., Rio-Chanona Ehecatl A. Del, Zhang Dongda Biotechnology and Bioengineering 120 154-168 D1 Kinetic modelling DOI
A Reliable Multi-Objective Control Strategy for Batch Processes based on Bootstrap Aggregated Neural Network Models 2008 Mukherjee A and Zhang J Journal of Process Control 18 720-734 E1 Multivariate statistical process control, E2 Process control DOI
A Review of Data Science in Business and Industry and a Future View 2020 Vicario, G and Coleman, S Applied Stochastic Models in Business and Industry C1 Multivariate data analysis DOI
A theoretical investigation of chirp insonifcation of ultrasound contrast agents 2011 Barlow E, Mulholland AJ, Gachagan A and Nordon A Ultrasonics 51 725-733 A7. Ultrasonics and acoustic emission spectrometry DOI
A Transferable Psychological Evaluation of Virtual Reality Applied to Safety Training in Chemical Manufacturing 2021 Poyade Matthieu, Eaglesham Claire, Trench Jordan, Reid Marc ACS Chemical Health & Safety 28 55-65 D3 Performance monitoring DOI
A two-step multivariate statistical learning approach for batch process soft sensing 2021 Hicks Aaron, Johnston Matthew, Mowbray Max, Barton Maxwell, Lane Amanda, Mendoza Cesar, Martin Philip, Zhang Dongda Digital Chemical Engineering 1 100003 C1 Multivariate data analysis DOI
Adaptive Multivariate Statistical Process Control for Monitoring Time-Varying Processes 2006 Choi SW, Martin EB, Morris AJ and Lee I-B Ind. Eng. Chem. Res. 45 3108-3118
Adaptive Statistic Tracking Control Based on Two-Step Neural Networks With Time Delays 2009 Yi Y, Guo L and Wang H IEEE T. Neural Netw. 20(3) 420-429 E2 Process control DOI
Advanced multivariate data analysis to determine the root cause of trisulfide bond formation in a novel antibody-peptide fusion 2017 Goldrick Stephen, Holmes William, Bond Nicholas J., Lewis Gareth, Kuiper Marcel, Turner Richard, Farid Suzanne S. Biotechnology and Bioengineering 114 2222-2234 C1 Multivariate data analysis DOI
Alternative measurement configurations for extracting bulk optical properties using an integrating sphere setup 2017 Thennadil N Suresh, Chen Yi-chieh Appl. Spectrosc. Vol 71 Issue 2 224-237 A4. Scattering and radiative transfer theory for NIR DOI
Alternative Measurement Configurations for Extracting Bulk Optical Properties Using an Integrating Sphere Setup 2017 Thennadil Suresh N., Chen Yi-chieh Applied Spectroscopy 71 224-237 A1. Non-invasive Raman spectrometry DOI
Alternative measurement configurations for extracting bulk optical properties using an integrating sphere set-up, 2017 Thennadeil S N, Chen Y-C Applied Spectroscopy 71 224 A3. Transmission NIR spectrometry/Raman spectrometry, A4. Scattering and radiative transfer theory for NIR DOI
An advanced calibration strategy for in situ quantitative monitoring of solvent-mediated phase transition processes using FT-Raman spectroscopy 2008 Chen Z-P, Fevotte G, Littlejohn D and Morris A J Analytical Chemistry 80 6658-6665 C2 Calibration transfer/model maintenance DOI
An ILC-Based Adaptive Control for General Stochastic Systems With Strictly Decreasing Entropy 2009 Afshar P, Wang H and Chai TY IEEE T. Neural Netw. 20(3) 471-482 E2 Process control DOI
An integrated dimensionality reduction and surrogate optimization approach for plant-wide chemical process operation 2021 Savage Thomas R., Almeida-Trasvina Fernando, del-Rio Chanona Ehecatl A., Smith Robin, Zhang Dondga AIChE Journal D2 Multi-block, predictive and multi-scale modelling methods DOI
Analysis of the Rayleigh-Plesset equation with chirp excitation 2009 Barlow E, Mulholland AJ, Gachagan A, Nordon A and Macpherson KG IMA J. Appl. Math. 74 20-34 A7. Ultrasonics and acoustic emission spectrometry DOI
Application of Raman Spectroscopy to Dynamic Binding Capacity Analysis 2023 Beattie James W., Rowland-Jones Ruth C., Farys Monika, Bettany Hamish, Hilton David, Kazarian Sergei G., Byrne Bernadette Applied Spectroscopy 77 1393-1400 A1. Non-invasive Raman spectrometry DOI
Application of triple-channel C-13 {H-1, F-19} NMR techniques to probe structural properties of disordered solids 1997 Nordon A, Harris R K, Yeo L and Harris K D M Chemical Communications 21 2045-2046
Artifical intelligence techniques applied as estimator in chemical process systems - A literature survey 2015 Ali J M, Hussain M A, Tade M O and Zhang J. Expert Systems with Applications Vol 42 No 14 5915-5913 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Assessment of historical polymers using attenuated total reflectance-Fourier transform infra-red spectroscopy with principal component analysis 2013 Mitchell G, France F, Nordon A, P L Tang, Gibson L T Hertiage Science Vol 1, No 1, 28, 11/09/2013
Automated cosmic spike filter optimized for process Raman spectroscopy 2012 Mozharov S, Nordon A, Littlejohn D and Marquardt B Applied Spectroscopy 66 1326-1333 A1. Non-invasive Raman spectrometry DOI
Automatic de-noising of close-range hyperspectral images with a wavelength-specific shearlet-based image noise reduction method 2019 Mishra Puneet, Karami Azam, Nordon Alison, Rutledge Douglas N., Roger Jean-Michel Sensors and Actuators B: Chemical 281 1034-1044 A1. Non-invasive Raman spectrometry DOI
Automatic de-noising of close-range hyperspectral images with a wavelength-specific shearlet-based image noise reduction method 2019 Mishra Puneet, Karami Azam, Nordon Alison, Rutledge Douglas N., Roger Jean-Michel Sensors and Actuators B: Chemical 281 1034-1044 A1. Non-invasive Raman spectrometry DOI
Automatic de-noising of close-range hyperspectral images with a wavelength-specific shearlet-based image noise reduction method 2019 Mishra Puneet, Karami Azam, Nordon Alison, Rutledge Douglas N., Roger Jean-Michel Sensors and Actuators B: Chemical 281 1034-1044 A1. Non-invasive Raman spectrometry DOI
Batch to batch iterative learning control using updated models based on a moving window of historical data 2012 Jewaratnam J, Zhang J, Hussain A and Morris J Procedia Engineering Vol 42 232-240 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network 2008 Xiong Z, Xu Y, Zhang J and Dong J Neural Computing & Applications 17 425-432 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Batch-to-Batch Optimal Control of a Batch Polymerisation Process based on Stacked Neural Network Models 2008 Zhang J Chemical Engineering Science 63 1273-1281 E1 Multivariate statistical process control, E2 Process control DOI
Batch-to-Batch Optimal Control of Batch Processes Based on Recursively Updated Nonlinear Partial Least Squares Models 2007 Chunfu L, Zhang J and Wang G Chemical Engineering Communications 194 261-297 E1 Multivariate statistical process control, E2 Process control DOI
Biofluid analysis and classification using IR and 2D-IR spectroscopy 2021 Rutherford Samantha H., Nordon Alison, Hunt Neil T., Baker Matthew J. Chemometrics and Intelligent Laboratory Systems 217 104408 B3 Biological process analysis DOI
Biomass composition: the “elephant in the room” of metabolic modelling 2015 Dikicioglu Duygu, Kirdar Betul, Oliver Stephen G. Metabolomics 11 1690-1701 B3 Biological process analysis, D2 Multi-block, predictive and multi-scale modelling methods DOI
Butanol as a potential biofuel: A spectroscopic study of its blends with n-decane and diesel 2018 Lampe AI, Dittmar AK, Heyen C, Kiefer J Fuel 222 312-318 A5. ATR-MIR spectrometry DOI
Calibration free approaches for rapid polymorph discrimination <i>via</i> low frequency (THz) Raman spectroscopy 2024 Chong Magdalene W. S., Ward Martin R., McFarlan Catriona, Parrott Andrew J., Dallin Paul, Andrews John, Oswald Iain D. H., Nordon Alison Chemical Communications C1 Multivariate data analysis, A1. Non-invasive Raman spectrometry DOI
Calibration model transfer in mid-infrared process analysis with <i>in situ</i> attenuated total reflectance immersion probes 2022 Parrott Andrew J., McIntyre Allyson C., Holden Megan, Colquhoun Gary, Chen Zeng-Ping, Littlejohn David, Nordon Alison Analytical Methods 14 1889-1896 A5. ATR-MIR spectrometry, C2 Calibration transfer/model maintenance DOI
Calibration of multiplexed fibre optic spectroscopy 2011 Chen ZP, Zhong LJ, Nordon A, Littlejohn D, Holden M, Fazenda M, Harvey L, McNeil B, Faulkner J and Morris J Analytical Chemistry 83 2655-2659 C1 Multivariate data analysis, C2 Calibration transfer/model maintenance DOI
Calibration of ultrasonic hardware for enhanced total focusing method imaging 2020 Ingram M, Gachagan A, Nordon A, Mulholland A J, Hegarty M Insight - Non-Destructive Testing and Condition Monitoring 62 408-415 A7. Ultrasonics and acoustic emission spectrometry DOI
CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology 2017 Cankorur-Cetinkaya Ayca, Dias Joao M. L., Kludas Jana, Slater Nigel K. H., Rousu Juho, Oliver Stephen G., Dikicioglu Duygu Microbiology 163 829-839 B3 Biological process analysis, D3 Performance monitoring DOI
Characterization of Escherichia coli suspensions using UV/Vis?NIR absorption spectroscopy 2010 Kiefer J, Ebel N, Schlucker E, Leipertz A Analytical Methods 2 123-128
Characterization of gasoline/ethanol blends by infrared and excess infrared spectroscopy 2015 Corsetti S, Zehentbauer FM, McGloin D, Kiefer J Fuel 141 136-142 A5. ATR-MIR spectrometry DOI
Classifying with confidence using Bayes rule and kernel density estimation 2019 Fearn Tom, Pérez-Marín Dolores, Garrido-Varo Ana, Guerrero-Ginel José Emilio Chemometrics and Intelligent Laboratory Systems 189 81-87 C1 Multivariate data analysis DOI
Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches 2020 Mishra Puneet, Lohumi Santosh, Ahmad Khan Haris, Nordon Alison Computers and Electronics in Agriculture 178 105780 C1 Multivariate data analysis, A1. Non-invasive Raman spectrometry DOI
CLUSTERnGO: a user-defined modelling platform for two-stage clustering of time-series data 2016 Fidaner Isik Baris, Cankorur-Cetinkaya Ayca, Dikicioglu Duygu, Kirdar Betul, Cemgil Ali Taylan, Oliver Stephen G. Bioinformatics 32 388-397 C1 Multivariate data analysis, B3 Biological process analysis DOI
Combined shifted-excitation Raman difference spectroscopy and support vector regression for monitoring the algal production of complex polysaccarides 2013 Noack K, Eskofier B, Kiefer J, Dilk C, Bilow G, Schirmer M, Buchholz R, Leipertz A Analyst 138 5639-5646 B3 Biological process analysis DOI
Combining model structure identification and hybrid modelling for photo-production process predictive simulation and optimisation 2020 Zhang Dongda, Savage Thomas R., Cho Bovinille A. Biotechnology and Bioengineering 117 3356-3367 B3 Biological process analysis DOI
Comparison of calibration methods for the monitoring of fluorobenzene batch reaction using low-field F-19 NMR, H-1 NMR, NIR and raman spectrometries 2002 Nordon A, Meunier C, McGill C A, Littlejohn D Applied Spectroscopy 56 515-520 A1. Non-invasive Raman spectrometry, A6. Low field NMR spectrometry DOI
Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids 2020 Haroon Kiran, Arafeh Ali, Cunliffe Stephanie, Martin Philip, Rodgers Thomas, Mendoza Cesar, Baker Michael Applied Spectroscopy 74 819-831 A5. ATR-MIR spectrometry, A3. Transmission NIR spectrometry/Raman spectrometry, D2 Multi-block, predictive and multi-scale modelling methods DOI
Comparison of in-line NIR, Raman and UV-Visable spectrometries and at-line NMR spectrometry for the monitoring of an esterification reaction 2002 McGill C A, Nordon A, Littlejohn D, Analyst 127 287-292 A1. Non-invasive Raman spectrometry, A6. Low field NMR spectrometry DOI
Comparison of non-invasive NIR and Raman spectrometries for determination of alcohol content of spirits 2005 Nordon A, Mills A, Burn R T, Cusick F M and Littlejohn D Analytica Chimica Acta, 548 148-158 A1. Non-invasive Raman spectrometry DOI
Comparison of partial least squares regression, least squares support vector machines and Gaussian process regression for a near infrared calibration 2017 Cui C and Fearn T Journal of Near Infrared Spectroscopy 25(1) 5 - 14 C1 Multivariate data analysis DOI
Comparison of physics-based and data-driven modelling techniques for dynamic optimisation of fed-batch bioprocesses 2019 Del Rio-Chanona Ehecatl Antonio, Ahmed Nur Rashid, Wagner Jonathan, Lu Yinghua, Zhang Dongda, Jing Keju Biotechnology and Bioengineering 116 2971-2982 B3 Biological process analysis DOI
Comparison of Raman and mid-infrared spectroscopy for quantification of nitric acid in PUREX-relevant mixtures 2023 McFarlan Catriona, Nordon Alison, Sarsfield Mark, Taylor Robin, Chen Hongyan Progress in Nuclear Energy 165 104898 A1. Non-invasive Raman spectrometry, A5. ATR-MIR spectrometry DOI
Comparison of the determination of a low-concentration active ingredient in pharmaceutical tablets by backscatter and transmission Raman spectrometry 2012 Townshend A, Nordon A, Littlejohn D, Myrick M, Andrews J and Dallin P Analytical Chemistry 84 4671-4676 A1. Non-invasive Raman spectrometry, A3. Transmission NIR spectrometry/Raman spectrometry DOI
Compressor Surge Control Using a Variable Area Throttle and Fuzzy Logic Control 2010 Al-Mawali s, Zhang J. Transactions of the Institute of Measurement and Control Vol 32 No 4 347-375 E2 Process control
Computer Vision for Kinetic Analysis of Lab- and Process-Scale Mixing Phenomena 2022 Barrington Henry, Dickinson Alan, McGuire Jake, Yan Chunhui, Reid Marc Organic Process Research &amp; Development 26 3073-3088 B2 Monitoring of drying and powder blending DOI
Computer vision for non-contact monitoring of catalyst degradation and product formation kinetics 2023 Yan Chunhui, Cowie Megan, Howcutt Calum, Wheelhouse Katherine M. P., Hodnett Neil S., Kollie Martin, Gildea Martin, Goodfellow Martin H., Reid Marc Chemical Science 14 5323-5331 B2 Monitoring of drying and powder blending DOI
Consideration of some sampling problems in the on-line analysis of batch processes by low-field NMR spectrometry 2008 Nordon A, Diez-Lazaro A, Wong CWL, McGill CA, Littlejohn D, Weerasinghe M, Mamman DA, Hitchman ML and Wilkie J Analyst 133 339-347 B1 Reaction monitoring, A6. Low field NMR spectrometry DOI
Considerations for the selection and design of sampling systems for heterogeneous processes in a stirred tank reactor 2005 Diez-Lazaro A, Hitchman M L and Littlejohn D Chemical Engineering Research and Design 83 344-351 B1 Reaction monitoring DOI
Constrained model-free reinforcement learning for process optimization 2021 Pan Elton, Petsagkourakis Panagiotis, Mowbray Max, Zhang Dongda, Rio-Chanona Ehecatl Antonio del Computers & Chemical Engineering 154 107462 E2 Process control DOI
Constrained PI tracking control for output probability distributions based on two-step neural networks 2009 Yi Y, Guo L and Wang H IEEE T. Circuits Syst. 56 1416-1426 E2 Process control DOI
Continuous flow organic synthesis, a tool for the modern medicinal chemistry 2009 Wiles C and Watts P Fut. Med. Chem. 1593-1612 B4 Microreactors and flow chemistry DOI
Contributing to the Sustainability of the UK Chemicals and Pharmaceuticals Industries 2010 Morris AJ, Littlejohn D and Benson R Eur. Pharm. Rev. February
Converting Big Data to Big Analysis and Control – The secret is to Pre-Screen 2020 Lynch T and Morris J Petro Industry News August/September Pg 32 E1 Multivariate statistical process control, C1 Multivariate data analysis Download
Correction of Temperature-Induced Spectral Variations by Loading Space Standardization 2005 Chen Zeng-Ping, Morris Julian, Martin Elaine Analytical Chemistry 77 1376-1384 C1 Multivariate data analysis DOI
CPACT CELEBRATES 20 YEARS AND LOOKS TO THE FUTURE 2018 Lynch T Petro Industry News - Annual Buyers Guide 44-45 C1 Multivariate data analysis, E1 Multivariate statistical process control
Data Science in Industry 4.0 2019 Coleman S.Y Mathematics in Industry C1 Multivariate data analysis DOI
Data-driven model predictive control for continuous pharmaceutical manufacturing 2025 Vega-Zambrano Consuelo, Diangelakis Nikolaos A., Charitopoulos Vassilis M. International Journal of Pharmaceutics 672 125322 E2 Process control DOI
Deep learning-based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design 2019 Rio-Chanona Ehecatl Antonio, Wagner Jonathan L., Ali Haider, Fiorelli Fabio, Zhang Dongda, Hellgardt Klaus AIChE Journal 65 915-923 D2 Multi-block, predictive and multi-scale modelling methods DOI
Dependence of signal on depth in transmission raman spectroscopy 2011 Matousek P, Everall N, Littlejohn D, Nordon A, Bloomfield M Applied Spectroscopy Vol 65, No 7, 07.2011 724-733 A3. Transmission NIR spectrometry/Raman spectrometry DOI
Detection of counterfeit Scotch whisky samples using MIR spectrometry with an ATR probe incorporating polycrystalline silver halide fibres 2011 McIntyre AC, Bilyk ML, Nordon A, Colquhoun G and Littlejohn D Analytica Chimica Acta 690 228-233 A5. ATR-MIR spectrometry DOI
Detection of counterfeit Scotch whisky using mid-infrared spectrometry with an attenuated total reflectance probe incorporating polycrystalline silver halide fibres 2011 McIntyre AC, Bilyk ML, Nordon A, Colquhoun G and Littlejohn D Analytica Chimica Acta 690 228-233 A5. ATR-MIR spectrometry DOI
Determination of Aniline in Hydrofluoric Acid solutions by NIR Spectrometry with a Fibre-optic Interface 1998 McDonald J, McIntyre A, Hitchman M L, Littlejohn D Applied Spectroscopy 52 908-911 B1 Reaction monitoring DOI
Determination of Bubble Size Distribution Using Ultrasound Array Imaging 2020 Ingram Marcus, Mineo Carmelo, Gachagan Anthony, Mulholland Anthony J., Nordon Alison, Hegarty Martin IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 1424-1437 A7. Ultrasonics and acoustic emission spectrometry DOI
Determination of Ethylene Oxide Content of Polyether Polyols by Low-Field 1H Nuclear Magnetic Resonance Spectrometry 2002 Nordon A, Meunier C, Carr R H, Gemperline P J, and Littlejohn D Analytica Chimica Acta, 472 133-140 A6. Low field NMR spectrometry DOI
Determination of ingredients in packaged pharmaceutical tablets by energy dispersive X-ray diffraction and maximum likelihood principal component analysis multivariate curve resolution-alternating least squares with correlation constraint 2021 Kenny Peter S., Crews Chiaki, Fearn Tom, Speller Robert D. Journal of Chemometrics C1 Multivariate data analysis DOI
Determination of Operating Regimes for Chemical Reactors Using Incomplete Mechanistic Knowledge and a Mutual Information-Based Dependency Test 2007 Yang A, Morris J, Montage G and Martin E Ind. Eng. Chem. Res. 46 3390-3399
Determination of optimum number of components in partial least squares regression from distributions of the root-mean-squared error obtained by Monte Carlo resampling 2018 Kvalheim O M; Arneberg R; Grung B; Rajalahti T Chemometrics 32 e2993 C1 Multivariate data analysis DOI
Development of a gas-phase Raman instrument using a hollow core anti-resonant tubular fibre 2021 Brooks William S.M., Partridge Matthew, Davidson Ian A.K., Warren Charles, Rushton George, Large Joseph, Wharton Michael, Storey Jonathan, Wheeler Natalie V., Foster Michael J. Journal of Raman Spectroscopy 52 1772-1782 B2 Monitoring of drying and powder blending, B3 Biological process analysis, B4 Microreactors and flow chemistry, B1 Reaction monitoring, A1. Non-invasive Raman spectrometry, A5. ATR-MIR spectrometry DOI
Development of a high throughput screening tool for biotransformations utilising a thermophilic L-aminoacylase enzyme 2010 Ngamsom B, Hickey AM, Greenway GM, Littlechild JA, Watts P and Wiles C J. Mol. Catal. B Enzym. 63 81-86 B3 Biological process analysis, B4 Microreactors and flow chemistry DOI
Development of a morphological population balance model in principal component space 2009 Ma CY and Wang XZ Comput. Aided Chem. Eng. 27 723-728
Development of a spatially offset Raman spectroscopy probe for monitoring pharmaceutical drying 2023 Al-Attili Mais, Ferreira Carla, Price Chris, Faulds Karen, Chen Yi-Chieh Chemical Engineering Research and Design 192 510-520 B2 Monitoring of drying and powder blending, A1. Non-invasive Raman spectrometry, C1 Multivariate data analysis DOI
Digital process design to define and deliver pharmaceutical particle attributes 2023 Urwin Stephanie J., Chong Magdalene W.S., Li Wei, McGinty John, Mehta Bhavik, Ottoboni Sara, Pathan Momina, Prasad Elke, Robertson Murray, McGowan Mark, al-Attili Mais, Gramadnikova Ekaterina, Siddique Mariam, Houson Ian, Feilden Helen, Benyahia Brahim, Brown Cameron J., Halbert Gavin W., Johnston Blair, Nordon Alison, Price Chris J., Reilly Chris D., Sefcik Jan, Florence Alastair J. Chemical Engineering Research and Design 196 726-749 D2 Multi-block, predictive and multi-scale modelling methods DOI
Direct measurement of the distance between adjacent guest molecules in a disordered solid inclusion compound using solid-state F-19-H-1 NMR spectroscopy 1998 Nordon A, Hughes E, Harris R K, Yeo L, Harris K D M Chemical Physics Letters 1-2 25-29
Discussion of “Experiences with big data: Accounts from a data scientist’s perspective” 2020 Coleman Shirley Quality Engineering 32 558-559 C1 Multivariate data analysis DOI
Distillation control structure selection for energy efficient operations 2015 Osuolale F, Zhang J. Chemical Engineering and Technology Vol 38, No 5 907-916 E2 Process control DOI
Distribution function tracking filter design using hybrid characteristic functions 2010 Zhou J, Zhou D, Wang H, Guo L and Chai TY Automatica 46(1) 101-109 E2 Process control DOI
Disturbance Attenuation in Fault Detection of Gas Turbine Engines: A Discrete Robust Observer Design 2009 Dai X, Gao Z, Breikin T and Wang H IEEE T. Syst. Man Cybernet. Part C 39(2) 234-239 D3 Performance monitoring DOI
Dynamic model-based batch process monitoring 2007 Choi SW, Morris J and Lee I-B Chemical Engineering Science 63 622-636
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes 2018 Bradford Eric, Schweidtmann Artur M., Zhang Dongda, Jing Keju, del Rio-Chanona Ehecatl Antonio Computers & Chemical Engineering 118 143-158 B3 Biological process analysis DOI
Dynamic modelling of the killing mechanism of action by virus-infected yeasts 2019 Sheppard Sean, Dikicioglu Duygu Journal of The Royal Society Interface 16 20190064 B3 Biological process analysis, D1 Kinetic modelling DOI
Dynamic Proteomic Profiling of Extra-Embryonic Endoderm Differentiation in Mouse Embryonic Stem Cells 2015 Mulvey Claire M., Schröter Christian, Gatto Laurent, Dikicioglu Duygu, Fidaner Isik Baris, Christoforou Andy, Deery Michael J., Cho Lily T. Y., Niakan Kathy K., Martinez-Arias Alfonso, Lilley Kathryn S. STEM CELLS 33 2712-2725 C1 Multivariate data analysis, B3 Biological process analysis DOI
Early Detection Of Drought Stress in Arabidopsis Thaliana Utilsing a Portable Hyperspectral Imaging Setup 2019 Mishra Puneet, Feller Torsten, Schmuck Martin, Nicol Andreas, Nordon Alison 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) C1 Multivariate data analysis DOI
Effect of particle properties of powders on the generation and transmission of Raman scattering 2012 Townshend A, Nordon A, Littlejohn D, Andrews J and Dallin P Analytical Chemistry 84 4665-4670 A2 Particle size effects in Raman and NIR, A3. Transmission NIR spectrometry/Raman spectrometry DOI
Effect of particle size and concentration on low-frequency terahertz scattering in granular compacts [Invited] 2023 Murphy Keir N., Naftaly Mira, Nordon Alison, Markl Daniel Optical Materials Express 13 2251 A9. Terahertz DOI
Effect of particle size distribution on spatially and angularly resolved diffuse reflectance measurement 2018 Chen Yi-Chieh, Tiernan-Vandermotten Sarra, Lue Leo, Ferreira Carla Sofia, Sefcik Jan, Thannadil Suresh European Pharamaceutical Review 23 34-37 A2 Particle size effects in Raman and NIR, C1 Multivariate data analysis, D2 Multi-block, predictive and multi-scale modelling methods DOI
Effect of Process Conditions on Particle Size and Shape in Continuous Antisolvent Crystallisation of Lovastatin 2020 McGinty John, Chong Magdalene W. S., Manson Andrew, Brown Cameron J., Nordon Alison, Sefcik Jan Crystals 10 925 A1. Non-invasive Raman spectrometry, C1 Multivariate data analysis DOI
Effects of particle size and cohesive properties on mixing studied by non-contact NIR 2008 Bellamy LJ, Nordon A and Littlejohn D Int. J. Pharm 361 87-91 A2 Particle size effects in Raman and NIR, B2 Monitoring of drying and powder blending DOI
Enantioselective Raman spectroscopy (esR) for distinguishing between the enantiomers of 2-butanol 2018 Rullich CC, Kiefer J Analyst 143 A1. Non-invasive Raman spectrometry DOI
Energy efficiency optimisation for distillation column using artificial neural network models 2016 Osuolale F, Zhang J. Energy Vol 106 562-578 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Enhanced Chemical Synthesis in Flow Reactors 2009 Wiles C and Watts P Chemica Oggi 27(3) 34-36 B4 Microreactors and flow chemistry
Enhanced Predictive Modelling Using Multi Block Methods 2009 Jeong JJ, Zhang J and Morris AJ 19th Symposium on Computer Aided Process Engineering - ESCAPE 19 D2 Multi-block, predictive and multi-scale modelling methods DOI
Enhancing the Signal-to-Noise Ratio of X-ray Diffraction Profiles by Smoothed Principal Component Analysis 2005 Chen Z-P, Morris J and Martin E Anal. Chem. 77 6563-6570 C1 Multivariate data analysis Download DOI
Entropy Optimization Filtering for Fault Isolation of nonlinear Non-Gaussian Stochastic Systems 2009 Guo L, Yin L, Wang H and Chai TY IEEE T. Automat. Cont. 54: 804-810 D3 Performance monitoring DOI
Estimating particle concentration using passive ultrasonic measurement of impact vibrations 2009 Carson G, Mulholland AJ, Nordon A, Tramontana N, Gachagan A and Hayward G IEEE T. Ultrason. Ferrer. 56 345-352 A7. Ultrasonics and acoustic emission spectrometry DOI
Evaluation of low-field nuclear magnetic resonance spectrometry for at-line process analysis 2002 Nordon A, McGill C A, Littlejohn D Applied Spectroscopy 56 75-82 A6. Low field NMR spectrometry DOI
Evaluation of temperature compensation methods for a near-infrared calibration to predict the viscosity of micellar liquids 2020 Haroon Kiran, Arafeh Ali, Rodgers Thomas, Mendoza Cesar, Baker Michael, Martin Philip Journal of Chemometrics 34 C2 Calibration transfer/model maintenance DOI
Exploring the stability and repeatability of a hollow core fibre Raman gas sensor 2019 Partridge Matthew C., Davidson Ian A., Brooks William, Foster Michael, Bradley Thomas D., Hayes John R., Jasion Greg T., Petrovich Marco N., Poletti Francesco, Richardson David J., Wheeler Natalie V. Seventh European Workshop on Optical Fibre Sensors A1. Non-invasive Raman spectrometry DOI
Extension of the yeast metabolic model to include iron metabolism and its use to estimate global levels of iron-recruiting enzyme abundance from cofactor requirements 2019 Dikicioglu Duygu, Oliver Stephen G. Biotechnology and Bioengineering 116 610-621 D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis DOI
Extracellular acidity and oxygen availability conjointly control eukaryotic cell growth via modulation of cytoplasmic translation. 2019 Dikicioglu, D Turkish Journal of Biochemistry B3 Biological process analysis, C1 Multivariate data analysis DOI
Extracting Chemical Information from Spectral Data with Multiplicative Light Scattering Effects by Optical Path-Length Estimation and Correction 2006 Chen Zeng-Ping, Morris Julian, Martin Elaine Analytical Chemistry 78 7674-7681 C1 Multivariate data analysis DOI
Extraction of Chemical Information of Suspensions Using Radiative Transfer Theory to Remove Multiple Scattering Effects: Application to a Model Multicomponent System 2011 Steponavicius R and Thennadil SN Anal. Chem. 83 1931-1937 A4. Scattering and radiative transfer theory for NIR DOI
Extraction of Chemical Information of Suspensions Using Radiative Transfer Theory to Remove Multiple Scattering Effects: Application to a Model Two-Component System 2009 Steponavicius Raimundas, Thennadil Suresh N. Analytical Chemistry 81 7713-7723 A1. Non-invasive Raman spectrometry DOI
Factors affecting broadband acoustic emission measurements of a heterogeneous reaction 2006 Nordon A, Carella Y, Gachagan A, Littlejohn D and Hayward G Analyst 131 323-330 B1 Reaction monitoring, A7. Ultrasonics and acoustic emission spectrometry DOI
Fault Detection Based on a Maximum-Likelihood Principal Component Analysis (PCA) Mixture 2005 Choi SW, Martin EB and Morris AJ Industrial & Engineering Chemistry Research 44(7) 2316-2327
Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach 2012 Stubbs S, Zhang J, Morris J. Computers & Chemical Engineering Vol 41 77-87 D3 Performance monitoring, E1 Multivariate statistical process control DOI
Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach 2009 Stubbs S, Zhang J and Morris AJ Eur. Sym. Comput. Aided Process Eng. ESCAPE 19 D3 Performance monitoring DOI
Fault localization in batch processes through progressive principal component analysis modeling 2011 Hong JJ, Zhang J, Morris J Ind Eng Chem Res Vol 50 (13) 8153-8162 D3 Performance monitoring, E1 Multivariate statistical process control DOI
Fermentation process tracking through enhanced spectral calibration modeling 2007 Triadaphillou S, Martin E, Montague G, Nordon A, Jeffkins P and Stimpson S Biotechnol. Bioeng. 97 554-567 B3 Biological process analysis, C2 Calibration transfer/model maintenance DOI
Fluorocyclohexane ring inversion in a solid thiourea inclusion compound studied by fluorine-19 magic-angle spinning NMR with high-power proton decoupling 1997 Nordon A, Harris R K, Yeo L and Harris K D M Chemical Communications 10 961-962
Flux Balance Analysis of a Genome-Scale Yeast Model Constrained by Exometabolomic Data Allows Metabolic System Identification of Genetically Different Strains 2007 Cakir T., Efe C., Dikicioglu D., Hortacsu A., Kirdar B., Oliver S.G. Biotechnology Progress 23 320-326 D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis DOI
Formal model of Parkinson’s disease neurons unveils possible causality links in the pathophysiology of the disease 2020 Nadal Morgane, Schierle Gabriele S. Kaminski, Dikicioglu Duygu D1 Kinetic modelling, B3 Biological process analysis DOI
Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling 2019 Mishra Puneet, Nordon Alison, Mohd Asaari Mohd Shahrimie, Lian Guoping, Redfern Sally Journal of Food Engineering 249 40-47 A1. Non-invasive Raman spectrometry DOI
Gaussian process regression for multivariate spectroscopic calibration 2007 Chen T, Morris J and Martin E Chemometrics and Intelligent Laboratory Systems 87 59-71 C1 Multivariate data analysis, C2 Calibration transfer/model maintenance
Handling variability and incompleteness of biological data by flexible nets: a case study for Wilson disease 2018 Júlvez Jorge, Dikicioglu Duygu, Oliver Stephen G. npj Systems Biology and Applications 4 B3 Biological process analysis, D1 Kinetic modelling DOI
Hierarchical mixture of linear regressions for multivariate spectroscopic calibration 2018 Cui C, Fearn T Chemometrics and Intelligent Laboratory Systems 174 1-14 C1 Multivariate data analysis DOI
High-Throughput Raman Spectroscopy Combined with Innovate Data Analysis Workflow to Enhance Biopharmaceutical Process Development 2020 Goldrick Stephen, Umprecht Alexandra, Tang Alison, Zakrzewski Roman, Cheeks Matthew, Turner Richard, Charles Aled, Les Karolina, Hulley Martyn, Spencer Chris, Farid Suzanne S. Processes 8 1179 A1. Non-invasive Raman spectrometry DOI
Homogenising and Segmenting Hyperspectral Images of Plants and Testing Chemicals in a High-Throughput Plant Phenotyping Setup 2019 Mishra Puneet, Schmuck Martin, Roth Sina, Nicol Andreas, Nordon Alison 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) C1 Multivariate data analysis DOI
How yeast re-programmes its transcriptional profile in response to different nutrient impulses 2011 Dikicioglu Duygu, Karabekmez Erkan, Rash Bharat, Pir Pinar, Kirdar Betul, Oliver Stephen G BMC Systems Biology 5 148 C1 Multivariate data analysis, B3 Biological process analysis DOI
Hybrid modeling as a QbD/PAT tool in Process Development: An industrial E.Coli case study 2016 von Stosch M, Hamelink J M, Oliveira R. Journal of Bioprocess and Biosystems Engineering 39 (5) 773-784 D2 Multi-block, predictive and multi-scale modelling methods, D3 Performance monitoring DOI
Hybrid physics-based and data-driven modeling for bioprocess online simulation and optimization 2019 Zhang Dongda, Del Rio-Chanona Ehecatl Antonio, Petsagkourakis Panagiotis, Wagner Jonathan Biotechnology and Bioengineering 116 2919-2930 B3 Biological process analysis DOI
ILC-based fixed-structure controller design for output PDF shaping in stochastic systems using LMI techniques 2009 Wang H and Afshar P IEEE T. Automat. Cont. 54 760-773 E2 Process control DOI
Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes 2018 Cardona Javier, Ferreira Carla, McGinty John, Hamilton, Andrew, Agimelen Okpeafoh S, Cleary Alison, Atkinson Robert, Michie Craig, Marshall Stephen, Chen Yi-Chieh, Sefcik Jan, Andonovic Ivan, Tachtatzis Christos Chemical Engineering Science Vol 191 208-231 A. Process Analytical Techniques, C1 Multivariate data analysis DOI
Improved method for kinetic studies in microreactors using flow manipulation and non-invasive Raman spectrometry 2011 Mozharov S, Nordon A, Littlejohn D, Wiles C, Watts P, Dallin P and Girkin JM Journal of the American Chemical Society 133 3601-3608 A1. Non-invasive Raman spectrometry, B1 Reaction monitoring, B4 Microreactors and flow chemistry, D1 Kinetic modelling DOI
Improved prediction of tablet properties with near-infrared spectroscopy by a fusion of scatter correction techniques 2021 Mishra Puneet, Nordon Alison, Roger Jean-Michel Journal of Pharmaceutical and Biomedical Analysis 192 113684 C1 Multivariate data analysis DOI
Improving the accuracy of flux balance analysis through the implementation of carbon availability constraints for intracellular reactions 2019 Lularevic M, Racher AJ, Jaques C, Kiparissides A Biotechnology and BioEngineering 116 2339-2352 B3 Biological process analysis DOI
Improving the linearity of spectroscopic data subjected to fluctuations in external variables by the extended loading space standardization 2008 Chen Zeng-Ping, Morris Julian The Analyst 133 914 C1 Multivariate data analysis DOI
In situ monitoring of powder blending by non-invasive Raman spectrometry with wide area illumination 2013 Allan P, Bellamy L, Nordon A, Littlejohn D, Andrews J and Dallin P Journal of Pharmaceutical and Biomedical Analysis 76 28 - 35 A1. Non-invasive Raman spectrometry, B2 Monitoring of drying and powder blending DOI
In situ monitoring of the seed stage of a fermentation process using non-invasive NIR spectrometry 2008 Nordon A, Littlejohn D, Dann AS, Jeffkins PA, Richardson MD and Stimpson SL Analyst 5 660-666 B3 Biological process analysis DOI
Inductive data mining based on genetic programming: Automatic generation of decision trees from data for process historical data analysis 2009 Ma CY and Wang XZ Comput. Chem. Eng. 33(10) 1602-1616
Inferential estimation of kerosene dry point in refineries with varying crudes 2012 Zhou C, Liu Q, Huang D X, Zhang J. Journal of Process Control Vol 22 No 6 1122-1126 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
In-line monitoring of esterification using a miniaturised mid-infrared spectrometer 2003 McGill C A, Ferguson R H, Donoghue K, Nordon A and Littlejohn D Analyst 128 1467-1470 B1 Reaction monitoring, A5. ATR-MIR spectrometry DOI
Insight from data analytics with an automotive aftermarket SME 2019 Smith W, Coleman S, Bacardit J, Coxon S Quality and Reliability Engineering International C1 Multivariate data analysis DOI
Integrated Continuous Process Design for Crystallisation, Spherical Agglomeration, and Filtration of Lovastatin 2024 Brown Cameron J., McGinty John, Islam Muhammad T., Rajoub Nazer, Arjmandi-Tash Omid, Ottoboni Sara, Shahid Muhid, Urwin Stephanie J., Lee Ye Seol, Chong Magdalene W. S., Papathanasiou Foteini, Prakash Aruna S., Prasad Elke, Spence Bronwyn, Sefcik Jan, Robertson John, Smith Rachel, Litster James D., Price Chris J., Nordon Alison, Adjiman Claire S., Florence Alastair J. Journal of Pharmaceutical Innovation 19 A7. Ultrasonics and acoustic emission spectrometry DOI
Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking 2020 Qiu W, Xiong Z, Zhang J, Hong Y, Li W Journal of Process Control 85 41-51 E2 Process control DOI
Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model 2007 Xiong Z, Zhang J, Xu Y and Wang X IET Control Theory & Applications 1 179-188 E1 Multivariate statistical process control, E2 Process control DOI
Integrating Autoencoder and Heteroscedastic Noise Neural Networks for the Batch Process Soft-Sensor Design 2022 Kay Sam, Kay Harry, Mowbray Max, Lane Amanda, Mendoza Cesar, Martin Philip, Zhang Dongda Industrial & Engineering Chemistry Research 61 13559-13569 C1 Multivariate data analysis DOI
Integration of Metabolic Modeling and Phenotypic Data in Evaluation and Improvement of Ethanol Production Using Respiration-Deficient Mutants of Saccharomyces cerevisiae 2008 Dikicioglu Duygu, Pir Pinar, Onsan Z. Ilsen, Ulgen Kutlu O., Kirdar Betul, Oliver Stephen G. Applied and Environmental Microbiology 74 5809-5816 C1 Multivariate data analysis, B3 Biological process analysis DOI
Integration of Metabolic Modeling and Phenotypic Data in Evaluation and Improvement of Ethanol Production Using Respiration-Deficient Mutants of Saccharomyces cerevisiae 2008 Dikicioglu Duygu, Pir Pinar, Onsan Z. Ilsen, Ulgen Kutlu O., Kirdar Betul, Oliver Stephen G. Applied and Environmental Microbiology 74 5809-5816 D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis DOI
Intelligent optimal-setting control for grinding circuits of mineral processing process 2009 Zhou P, Chai T and Wang H IEEE T. Automat. Sci. Eng. 6 730-743 E2 Process control DOI
Investigating ‘greyness’ of hybrid model for bioprocess predictive modelling 2023 Rogers Alexander W., Song Ziqi, Ramon Fernando Vega, Jing Keju, Zhang Dongda Biochemical Engineering Journal 190 108761 D1 Kinetic modelling DOI
Investigating the feasibility of mid infrared spectroscopy for monitoring an industrial de-racemization biotransformation process 2012 Gardner P, Arnold SA, Brown F, Carr R, Nordon A, Harvey LM and McNeil B. Analytica Chimica Acta, 779 50-55 B3 Biological process analysis, A5. ATR-MIR spectrometry DOI
Investigation of factors affecting isolation of needle-shaped particles in a vacuum agitated filter drier through non-invasive measurements by Raman spectometry 2013 Hamilton P, Littlejohn D, Nordon A, Sefcik J, Slavin P, J Andrews and Dallin P Chemical Engineering Science 101 878-885 A1. Non-invasive Raman spectrometry, B2 Monitoring of drying and powder blending DOI
Iterative learning control of a crystallisation process using batch wise updated linearised models identified using PLS 2009 Zhang J, Nguyan J and Morris AJ Computer Aided Chemical Engineering 26, Proceedings of the 19th European Symposium on Computer Aided Process Engineering 387-392 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Kinetic and hybrid modeling for yeast astaxanthin production under uncertainty 2021 Vega-Ramon Fernando, Zhu Xianfeng, Savage Thomas R., Petsagkourakis Panagiotis, Jing Keju, Zhang Dongda Biotechnology and Bioengineering 118 4854-4866 B1 Reaction monitoring, D1 Kinetic modelling DOI
Kinetic modeling and process analysis for Desmodesmus sp. lutein photo-production 2017 del Rio-Chanona Ehecatl Antonio, Ahmed Nur rashid, Zhang Dongda, Lu Yinghua, Jing Keju AIChE Journal 63 2546-2554 D1 Kinetic modelling DOI
Low-Field High-Resolution PFG-NMR to Predict the Size Distribution of Inner Droplets in Double Emulsions 2021 Khadem Behnam, Parrott Andrew, Nordon Alison, Sheibat-Othman Nida European Journal of Lipid Science and Technology 123 2000193 A6. Low field NMR spectrometry DOI
Machine learning and metabolic modelling assisted implementation of a novel process analytical technology in cell and gene therapy manufacturing 2023 Williams Thomas, Kalinka Kevin, Sanches Rui, Blanchard-Emmerson Greg, Watts Samuel, Davies Lee, Knevelman Carol, McCloskey Laura, Jones Peter, Mitrophanous Kyriacos, Miskin James, Dikicioglu Duygu Scientific Reports 13 B2 Monitoring of drying and powder blending, D2 Multi-block, predictive and multi-scale modelling methods DOI
Maintaining the predictive abilities of multivariate calibration models by spectral space transformation 2011 Du W, Chen ZP, Zhong LJ, Wang SX, Yu RQ, Nordon A, Littlejohn D and Holden M Analytica Chimica Acta 690 64-70 C2 Calibration transfer/model maintenance DOI
Maintenance of a calibration model for near infrared spectrometry by a combined principal component analysis/partial least squares approach 2002 Setarehdan S K, Soraghan J J, Littlejohn D, Sadler D A Analytica Chimica Acta, 452 35-45 C2 Calibration transfer/model maintenance DOI
Making way for ultra-low-emission vehicles 2018 Herron, C and Coleman, S Focus June 2018 pp 48-49 C1 Multivariate data analysis
MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing 2020 Mishra Puneet, Roger Jean Michel, Rutledge Douglas N., Biancolillo Alessandra, Marini Federico, Nordon Alison, Jouan-Rimbaud-Bouveresse Delphine Chemometrics and Intelligent Laboratory Systems 205 104139 C1 Multivariate data analysis DOI
MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing 2020 Mishra Puneet, Roger Jean Michel, Rutledge Douglas N., Biancolillo Alessandra, Marini Federico, Nordon Alison, Jouan-Rimbaud-Bouveresse Delphine Chemometrics and Intelligent Laboratory Systems 205 104139 D2 Multi-block, predictive and multi-scale modelling methods, C1 Multivariate data analysis DOI
MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing 2020 Mishra Puneet, Roger Jean Michel, Rutledge Douglas N., Biancolillo Alessandra, Marini Federico, Nordon Alison, Jouan-Rimbaud-Bouveresse Delphine Chemometrics and Intelligent Laboratory Systems 205 104139 D2 Multi-block, predictive and multi-scale modelling methods DOI
Measuring proteins in H2O using 2D-IR spectroscopy: pre-processing steps and applications toward a protein library 2022 Rutherford Samantha H., Greetham Gregory M., Parker Anthony W., Nordon Alison, Baker Matthew J., Hunt Neil T. The Journal of Chemical Physics 157 C1 Multivariate data analysis DOI
Metabolic modeling to identify engineering targets forKomagataella phaffii: The effect of biomass composition on gene target identification 2017 Cankorur-Cetinkaya Ayca, Dikicioglu Duygu, Oliver Stephen G. Biotechnology and Bioengineering 114 2605-2615 D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis DOI
Metabolic response to Parkinson's disease recapitulated by the haploinsufficient diploid yeast cells hemizygous for the adrenodoxin reductase gene 2019 Dikicioglu Duygu, Coxon James W. M. T., Oliver Stephen G. Molecular Omics 15 340-347 B3 Biological process analysis, C1 Multivariate data analysis DOI
Microreactors as tools for high-throughput synthesis 2009 Wiles C and Watts P Speciality Chem. Magazine 40-41 B4 Microreactors and flow chemistry
Model-based Optimisation and Closed-loop Control of Crystal Shape in Cooling Crystallisation 2009 Wan J, Wang XZ and Ma CY Comput. Aided Chem. Eng. (ESCAPE-19) 26 483-488
Model-based real-time optimisation of a fed-batch cyanobacterial hydrogen production process using economic model predictive control strategy 2016 del Rio-Chanona Ehecatl Antonio, Zhang Dongda, Vassiliadis Vassilios S. Chemical Engineering Science 142 289-298 E2 Process control DOI
Modelling and control of reactive polymer composite moulding using bootstrap aggregated neural network models 2011 Zhang J, Pantelelis N G. Chemical Product and Process Modeling Vol 6 (2) Article 5 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Modelling of a post combustion CO2 capture process using neural networks 2015 Li F, Zhang J, Oko E and Wang M Fuel 151 156-163 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Modelling protein crystallisation using morphological population balance models 2009 Liu JJ, Ma CY, Hu YD and Wang XZ Chem. Eng. Res. Des. 88 (4) 437-446
Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process 2019 Goldrick Stephen, Duran-Villalobos Carlos A., Jankauskas Karolis, Lovett David, Farid Suzanne S., Lennox Barry Computers & Chemical Engineering 130 106471 E2 Process control DOI
Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration 2018 Cui C, Fearn T Chemometrics and Intelligent Laboratory Systems 182 9-20 C1 Multivariate data analysis DOI
Monitoring of a heterogeneous reaction by acoustic emission 2004 Nordon A, Waddell R J H, Bellamy L J, Gachagan A, McNab D, Littlejohn D and Hayward G Analyst 129 463-467 B1 Reaction monitoring, A7. Ultrasonics and acoustic emission spectrometry DOI
Monitoring of an esterification reaction by on-line direct liquid sampling mass spectrometry and in-line mid infrared spectrometry with an attenuated total reflectance probe 2014 Owen A W, McAulay E A J, Nordon A, Littlejohn D, Lynch T P, Lancaster S J, Wright R G Analytica Chimica Acta, 14.08.2014 B1 Reaction monitoring, A5. ATR-MIR spectrometry, A8. Process mass spectrometry DOI
Morphological Population Balance Model in Principal Component Space 2009 Wang XZ and Ma CY AIChE J. 55 (9) 2370-2381
Morphological population balance models for the dynamic evolution of particle shape and size distribution in protein crystallization 2010 Liu JJ, Ma CY, Hu YD and Wang XZ Comput. Aided Chem. Eng. 27 1911-1916
Multi-scale Multiblock Batch Monitoring:Sensor and Process Drift and Degradation 2015 Alawi A, Zhang J and Morris J, Org. Process Res. Dev. 19 (1) 145-157 B1 Reaction monitoring, D2 Multi-block, predictive and multi-scale modelling methods DOI
Multiscale Multivariate Statistical Process Control 2014 Morris AJ, Encyclopedia of Systems and Control (editors Tariq Samad and John Baillieul) E1 Multivariate statistical process control DOI
Multivariate Data Analysis Methodology to Solve Data Challenges Related to Scale-Up Model Validation and Missing Data on a Micro-Bioreactor System 2020 Goldrick Stephen, Sandner Viktor, Cheeks Matthew, Turner Richard, Farid Suzanne S., McCreath Graham, Glassey Jarka Biotechnology Journal 15 1800684 C2 Calibration transfer/model maintenance DOI
Multivariate kinetic hard-modelling of spectroscopic data: A comparison of the esterification of butanol by acetic anhydride on different scales and with different instruments 2008 Puxty, Neuhold Y-M, Ehly M, Gemperline PJ, Nordon A, Littlejohn D, Basford JK, De Cecco M and Hunderbuhler K Chem. Eng. Sci., 63 (19) 4800-4809 B1 Reaction monitoring, D1 Kinetic modelling DOI
Multivariate statistical control of emulsion and nanoparticle slurry processes based on process tomography, dynamic light scattering, and acoustic sensor data 2009 Li RF, Liu L, Wang XZ, Tweedie R, Primrose K, Corbett J and McNeil-Watson F Comput. Aided Chem. Eng. 27 1317-1322
Multivariate statistical process control of an industrial-scale fed-batch simulator 2020 Duran-Villalobos Carlos A., Goldrick Stephen, Lennox Barry Computers & Chemical Engineering 132 106620 E1 Multivariate statistical process control DOI
Multiway interval partial least squares for batch process performance 2013 Stubbs S, Zhang J, Morris J. Ind Eng Chem Res Vol 52 (35) 12399-12407 D3 Performance monitoring, E1 Multivariate statistical process control DOI
Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products 2018 Mishra Puneet, Nordon Alison, Tschannerl Julius, Lian Guoping, Redfern Sally, Marshall Stephen Journal of Food Engineering 238 70-77 A1. Non-invasive Raman spectrometry DOI
Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant 2015 Oko E, Wang M and Zhang J. Fuel 151 139-145 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Non-invasive analysis in micro-reactors using Raman spectrometry with a specially designed probe 2010 Mozharov S, Nordon A, Girkin JM and Littlejohn D Lab on a Chip 10 2101-2107 A1. Non-invasive Raman spectrometry, B1 Reaction monitoring, B4 Microreactors and flow chemistry DOI
Non-invasive monitoring of the growth of metal-organic frameworks (MOFs) <i>via</i> Raman spectroscopy 2023 Chong Magdalene, Parrott Andrew John, Ashworth David, Fletcher Ashleigh J., Nordon Alison Physical Chemistry Chemical Physics B1 Reaction monitoring, A1. Non-invasive Raman spectrometry DOI
Non-invasive monitoring of the mixing of pharmaceutical powders by broadband acoustic emission 2010 Allan P, Ballamy LJ, Nordon A and Littlejohn D Analyst 135 518-524 B2 Monitoring of drying and powder blending, A7. Ultrasonics and acoustic emission spectrometry DOI
Noniterative N-infinity Based Model Order Reduction of LTI Systems Using LMIs 2009 Nobakhti A and Wang H IEEE T. Cont. Syst. Tec. 17 494-501 E2 Process control DOI
Nonlinear multiscale modelling for fault detection and identification 2008 Choi SW, Morris J and Lee I-B Chemical Engineering Science 62 (22) 6191-6198 D2 Multi-block, predictive and multi-scale modelling methods, D3 Performance monitoring DOI
Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy 2020 Liu K, Zhang J Computers & Chemical Engineering 135 106730 D2 Multi-block, predictive and multi-scale modelling methods DOI
Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns 2012 Liu X, Zhou Y, Cong L, Zhang J. AIChE Journal Vol 58 No 4 1146-1156 D1 Kinetic modelling, E2 Process control DOI
Novel utilisation of a circular multi‑reflection cell applied to materials ageing experiments 2015 DA Knox; AK King; ED McNaghten; SJ Brooks; PA Martin and SM Pimblott Applied Physics B 119 55 - 64 A. Process Analytical Techniques DOI
Number of components and prediction error in partial least squares regression determined by Monte Carlo resampling strategies 2019 Kvalheim O M; Grung B; Rajalahti T Chemometrics and Intelligent Laboratory Systems 188 79-86 C1 Multivariate data analysis DOI
Numerical model for predicting experimental effects in enantioselective Raman spectroscopy 2017 Jungst N, Williamson AP, Kiefer J, Applied Physics B 123, 128 15 A1. Non-invasive Raman spectrometry DOI
Observation of Spurious Spectral Features in Mixed-Powder Compressed Pellets Measured by Terahertz Time-Domain Spectroscopy 2023 Murphy Keir N, Markl Daniel, Nordon Alison, Naftaly Mira IEEE Transactions on Terahertz Science and Technology 13 569-572 A9. Terahertz DOI
Online characterisation of nanoparticle suspensions using dynamic light scattering, ultrasound spectroscopy and process tomography 2010 Wang XZ, Liu L, Li R, Tweedie RJ, Primrose K, Corbett J and McNeil-Watson FK Chem. Eng. Res. Des. 87 (6) 874-884
On-line detection and quantification of trace impurities in vaporisable samples by direct liquid introduction process mass spectrometry 2014 Owen A W, Nordon A, Littlejohn D, Lynch T P, S J Lancaster, R G Wright Analytical Methods Vol 6, No 20, 01.01.2014 Pg 8148 - 8153 A8. Process mass spectrometry DOI
On-line Dynamic Process Monitoring using Wavelet-based Generic Dissimilarity Measure 2005 Alabi SI, Morris AJ and Martin EB Chemical Engineering Research and Design, 86(A6) 698-705
On-line monitoring of a sugar crystallization process 2005 Simoglou A, Georgieva P, Martin EB, Morris AJ and de Azevedo F Computers & Chemical Engineering 29(6) 1411-1422
Online monitoring of nanoparticle suspensions using dynamic light scattering, ultrasound spectroscopy and process tomography 2009 Wang XZ, Liu L, Li R, Tweedie RJ, Primrose K, Corbett J and McNeil-Watson F Comput. Aided Chem. Eng. (ESCAPE-19) 26 351-356
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model 2010 Chen T, Zhang J. Computers & Chemical Engineering Vol 34 500-507 D3 Performance monitoring, E1 Multivariate statistical process control DOI
On-site determination of formaldehyde: a low cost measurement device for museum environments 2008 Gibson LT, Kerr WJ, Nordon A, Reglinski J, Robertson C, Turnbull L, Watt CM, CHeung A and Johnstone W Anal. Chim. Acta, 623 109-116
Optical properties of apple skin and flesh in the wavelength range from 350nm to 2200nm 2008 Saeys W, Velazco-Roa MA, Thennadil SN, Ramon H and Nikolai BM Applied Optics 47 (7) 980-919
Optimal control of fed-batch processess using particle swarm optimisation with staked neural network models 2009 Herrara F, Zhang J Computers & Chemical Engineering Vol 33, No 10 1593-1601 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Optimal Iterative Learning Control for Batch Processes Based on Linear Time-varying Perturbation Model 2008 Xiong Z, Zhang J and Dong J Chinese Journal of Chemical Engineering 16 235-240 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Overproduction of L-tryptophan via simultaneous feed of glucose and anthranilic acid from recombinantEscherichia coliW3110: Kinetic modeling and process scale-up 2018 Jing Keju, Tang Yuanwei, Yao Chuanyi, del Rio-Chanona Ehecatl A., Ling Xueping, Zhang Dongda Biotechnology and Bioengineering 115 371-381 D1 Kinetic modelling DOI
Particle filters for state and parameter estimation in batch processes 2005 Chen T, Morris J and Martin E Journal of Process Control 15(6) 665-673
Particle shape manipulation and optimization in cooling crystallization involving multiple crystal morphological forms 2010 Wan J, Wang XZ and Ma CY AIChE J. 55 (8) 2049-2061
Particle sizing using passive ultrasonic measurement of particle–wall impact vibrations 2008 Carson G, Mulholland AJ, Nordon A, Tramontana M, Gachagan A and Hayward G Journal of Sound and Vibration 317 142-157 A7. Ultrasonics and acoustic emission spectrometry DOI
Penalized reconstruction-based multivariate contribution analysis for fault isolation 2013 He B, Zhang J, Chen T and Yang X Ind Eng Chem Res Vol 52 (23) 7784-7794 D3 Performance monitoring, E1 Multivariate statistical process control DOI
Photocatalytic Production of Bisabolene from Green Microalgae Mutant: Process Analysis and Kinetic Modeling 2018 Harun Irina, Del Rio-Chanona Ehecatl Antonio, Wagner Jonathan L., Lauersen Kyle J., Zhang Dongda, Hellgardt Klaus Industrial & Engineering Chemistry Research 57 10336-10344 D1 Kinetic modelling DOI
Polymer Pellet Fabrication for Accurate THz-TDS Measurements 2022 Murphy Keir N., Naftaly Mira, Nordon Alison, Markl Daniel Applied Sciences 12 3475 A1. Non-invasive Raman spectrometry DOI
Potential Applications of At-line Process Analysis by NMR Spectrometry 2001 Nordon A, McGill C A, Littlejohn D Journal of Process and Analytical Chemistry 39-41 A6. Low field NMR spectrometry
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search 2019 Yang Q, Zhang J, Yi Z Applied Soft Computing Journal 83 105675 D2 Multi-block, predictive and multi-scale modelling methods DOI
Prediction of absorption and stripping factors in natural gas processing industries using feed forward artificial neural network 2016 Ahmad Z, Zhang J, Kashiwao T and Bahadori A. Petroleum Science and Technology Vol 34 No 2 105-113 D2 Multi-block, predictive and multi-scale modelling methods DOI
Process analytical technology and compensating for nonlinear effects in process spectroscopic data for improved process monitoring and control 2009 Chen Z and Morris J Biotechnology J. 4(5) 610-619 C1 Multivariate data analysis, E2 Process control DOI
Process NMR Spectroscopy 2001 Nordon A, McGill C A, Littlejohn D Analyst 126 260-272 A6. Low field NMR spectrometry DOI
Progressive multi-block modelling for enhanced fault isolation in batch processes 2014 Hong JJ, Zhang J, Morris J Journal of Process Control 24(1) 13-26 D2 Multi-block, predictive and multi-scale modelling methods, D3 Performance monitoring DOI
Quality and comparability of measurement of potentially toxic elements in urban soils by a group of European laboratories 2007 Davidson C M, Nordon A, Urquhart G J, Ajmone-Marson F, Biasioli M, Duarte A C, Diaz-Barrientos E, Grcman H, Hodnik A, Hossack I, Hursthouse A S, Ljung K, Madrid F, Otabbong E, Rodrigues S International Journal of Environmental Analytical Chemistry Vol 87, No 8 589-601
Quantification of particle size and concentration using in-line techniques and multivariate analysis 2020 Ferreira Carla, Cardona Javier, Agimelen Okpeafoh, Tachtatzis Christos, Andonovic Ivan, Sefcik Jan, Chen Yi-Chieh Powder Technology 376 1-11 A2 Particle size effects in Raman and NIR DOI
Quantitative analysis of low-field NMR signals in the time domain 2001 Nordon A, Gemperline P J, McGill C A, Littlejohn D Analytical Chemistry 73 4286-4294 A6. Low field NMR spectrometry DOI
Quantitative analysis of powder mixtures by Raman spectrometry: the influence of particle size and its correction 2012 Chen Z, Li L, Jin J, Nordon A, Littlejohn D, Yang J, Zhang J and Yu R Analytical Chemistry 84 4088-4094 A2 Particle size effects in Raman and NIR, C1 Multivariate data analysis DOI
Quantitative In Situ Monitoring of Parahydrogen Fraction Using Raman Spectroscopy 2018 Parrott Andrew J., Dallin Paul, Andrews John, Richardson Peter M., Semenova Olga, Halse Meghan E., Duckett Simon B., Nordon Alison Applied Spectroscopy 000370281879864 A1. Non-invasive Raman spectrometry DOI
Randomized Kernel Principal Component Analysis for Modeling and Monitoring of Nonlinear Industrial Processes with Massive Data 2019 Zhou Z, Du N, Xu J, Li Z, Wang P, Zhang J Industrial and Engineering Chemistry Research 58 10410-10417 E1 Multivariate statistical process control, D3 Performance monitoring DOI
Real-time monitoring of powder mixing in a convective blender using non-invasive reflectance NIR spectrometry 2008 Bellamy LJ, Nordon A and Littlejohn D Analyst 133 58-64 A2 Particle size effects in Raman and NIR, B2 Monitoring of drying and powder blending DOI
Recent trends in multi-block data analysis in chemometrics for multi-source data integration 2021 Mishra Puneet, Roger Jean-Michel, Jouan-Rimbaud-Bouveresse Delphine, Biancolillo Alessandra, Marini Federico, Nordon Alison, Rutledge Douglas N. TrAC Trends in Analytical Chemistry 137 116206 D2 Multi-block, predictive and multi-scale modelling methods, C1 Multivariate data analysis DOI
Reconstruction-based multivariate contribution analysis for fault isolation: A branch and bound approach 2012 He B, Ynag X, Chen T, Zhang J Journal of Process Control Vol 22 1228-1236 D3 Performance monitoring, E1 Multivariate statistical process control DOI
Reinforcement learning for batch bioprocess optimization 2020 Petsagkourakis P., Sandoval I.O., Bradford E., Zhang D., del Rio-Chanona E.A. Computers & Chemical Engineering 133 106649 E2 Process control DOI
Relationship between the Kubelka-Munk scattering and radiative transfer coefficients 2008 Thennadil SN J. Opt. Soc. Am. A 25 1480-1485 A4. Scattering and radiative transfer theory for NIR DOI
Reliable optimal control of a fed-batch fermentation process using ant colony optimisation and bootstrap aggregated neural network models 2014 Zhang J, Feng M Appl. Metaheuristics Process. Eng. 183-200 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks 2013 Mohammed K R, Zhang J. Neural computing & Applications Vol 23 1891-1898 D2 Multi-block, predictive and multi-scale modelling methods, E2 Process control DOI
Remote sensing of chemical agents within nuclear facilities using Raman spectroscopy 2020 Foster Michael, Wharton Michael, Brooks William, Goundry Matthew, Warren Charles, Storey Jonathan Journal of Raman Spectroscopy 51 2543-2551 A1. Non-invasive Raman spectrometry DOI
Ring inversion of fluorocyclohexane in its solid thiourea inclusion compound 1999 Harris R K, Nordon A, Harris K D M Magnetic Resonance in Chemistry 37 15-24
Robust output feedback stabilization for discrete-time systems with time-varying input delay 2015 Hao S, Liu T, Zhang J, Sun X and Zhong C Syst. Sci. Cont. Eng. An Open Access J. 3 300-306 E2 Process control DOI
Robust QSAR model development in high-throughput catalyst discovery based on genetic parameter optimisation 2010 Wang, XZ, Perston B, Yang Y, Lin T and Darr JA Chem. Eng. Res. Des. 87 (10) 1420-1429
Saccharomyces cerevisiae adapted to grow in the presence of low-dose rapamycin exhibit altered amino acid metabolism 2018 Dikicioglu Duygu, Dereli Eke Elif, Eraslan Serpil, Oliver Stephen G., Kirdar Betul Cell Communication and Signaling 16 C1 Multivariate data analysis, B3 Biological process analysis DOI
Safe chance constrained reinforcement learning for batch process control 2022 Mowbray M., Petsagkourakis P., del Rio-Chanona E.A., Zhang D. Computers & Chemical Engineering 157 107630 E2 Process control DOI
Scale-up of batch kinetic models 2007 Ehly M, Gemperline PJ, Nordon A, Littlejohn D, Basford JK and De Cecco M Anal Chim Acta 595 80-88 B1 Reaction monitoring, D1 Kinetic modelling Download DOI
Selective Combination of Multiple Neural Networks for Improving Model Prediction in Nonlinear Systems Modelling through Forward Selection and Backward Elimination 2008 Ahmad Z and Zhang J Neurocomputing 72 (4-6) 1198-1204 D2 Multi-block, predictive and multi-scale modelling methods DOI
Sensing change in batch reactors 2008 Ashe R, Littlejohn D, Nordon A and Allan P Chem Eng 115 56-59 B1 Reaction monitoring
Shift-invariant tri-linearity—A new model for resolving untargeted gas chromatography coupled mass spectrometry data 2023 Schneide Paul-Albert, Bro Rasmus, Gallagher Neal B. Journal of Chemometrics 37 C1 Multivariate data analysis, A8. Process mass spectrometry DOI
Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data 2019 Capezza C, Coleman, SY, Lepore A, Palumbo B, Vitiello L Transportation Research Part D: Transport and Environment C1 Multivariate data analysis DOI
Ship fuel consumption monitoring and fault detection via partial least squares and control charts of navigation data. Transportation Research Part D: Transport and Environment. 2019 Capezza C, Coleman, SY, Lepore A, Palumbo B, Vitiello L. in press C. Multivariate Data Analysis, D. Process Modelling
Short- and long-term dynamic responses of the metabolic network and gene expression in yeast to a transient change in the nutrient environment 2012 Dikicioglu Duygu, Dunn Warwick B., Kell Douglas B., Kirdar Betul, Oliver Stephen G. Molecular BioSystems 8 1760 C1 Multivariate data analysis, B3 Biological process analysis DOI
Signal dependence on depth in transmission Raman spectroscopy 2011 Matousek P, Everall N, Littlejohn D, Nordon A and Bloomfield M Applied Spectroscopy 65 724-733
Simulation of diffuse reflectance for characterisation of particle suspensions 2017 Thomson K, Stoliarskaia D, Tiernan-Vandermotten S, Lue L, Chen Y SPIE - Optical Diagnostics and Sensing XV11 - Toward Point of Care Diagnostics 17/02/17 A2 Particle size effects in Raman and NIR DOI
Simultaneous acquisition of the polarized and deploarized Raman signal with single detector 2017 Kiefer J Analytical Chemistry 89 5725-5728 A1. Non-invasive Raman spectrometry DOI
Solid-state electronic absorption, fluorescence and C-13 CPMAS NNR spectroscopic study of thermo and photo-chromic aromatic Schiff bases 1996 Alarcon S H, Olivieri A C, Nordon A and Harris R K J. Chem. Soc., Perkin Trans 2 11 2293-2296
Spatially and angularly resolved spectroscopy for in-situ estimation of concentration and particle size in colloidal suspensions 2017 Chen Yi-Chieh, Foo David, Dehanov Nicolau, Thennadil Suresh N Analytical and Bioanalytical Chemistry 409 6975-6988 A1. Non-invasive Raman spectrometry, C1 Multivariate data analysis, D2 Multi-block, predictive and multi-scale modelling methods DOI
Spatially and angularly resolved spectroscopy for in-situ estimation of concentration and particle size in colloidal suspensions 2017 Chen Yi-Chieh, Foo David, Dehanov Nicolau, Thennadil Suresh N. Analytical and Bioanalytical Chemistry 409 6975-6988 A1. Non-invasive Raman spectrometry DOI
Stochastic data-driven model predictive control using gaussian processes 2020 Bradford Eric, Imsland Lars, Zhang Dongda, del Rio Chanona Ehecatl Antonio Computers & Chemical Engineering 139 106844 E2 Process control DOI
Studies of particle drying using non-invasive Raman spectrometry and particle size analysis 2011 Hamilton P, Littlejohn D, Nordon A, Sefcik J, Slavin P, Dallin P and Andrews J Analyst 136 2168-2174 A1. Non-invasive Raman spectrometry, B2 Monitoring of drying and powder blending DOI
Synergising biomass growth kinetics and transport mechanisms to simulate light/dark cycle effects on photo-production systems 2021 Anye Cho Bovinille, Carvalho Servia Miguel Ángel, del Río Chanona Ehecatl Antonio, Smith Robin, Zhang Dongda Biotechnology and Bioengineering 118 1932-1942 D2 Multi-block, predictive and multi-scale modelling methods DOI
Synthesis and characterization of doped nano-sized ceria-zirconia solid solutions 2009 Weng X, Perston B, Wang XZ, Abrahams I, Lin T, Yang S, Evans JRG and Darr JA Appl. Catal. B 90 (3-4) 405-415
System modelling and device development for passive acoustic monitoring of a particulate-liquid process 2015 Tramontana M, Gachagan A, Nordon A, Littlejohn D, O'Leary R and Mulholland A Elsevier, Sensors and Actuators A:Physical 228 159-169 A7. Ultrasonics and acoustic emission spectrometry DOI
Systematic prediction error correction: A novel strategy for maintaining the predictive abilities of multivariate calibration models 2011 Chen ZP, Li LM, Yu RQ, Littlejohn D, Nordon A, Morris AJ, Dann AS, Jeffkins PA, Richardson MD and Stimpson SL Analyst 136 98-106 C2 Calibration transfer/model maintenance DOI
Teaching old presumptive tests new digital tricks with computer vision for forensic applications 2023 Bugeja Nathalie, Oliver Cameron, McGrath Nicole, McGuire Jake, Yan Chunhui, Carlysle-Davies Felicity, Reid Marc Digital Discovery 2 1143-1151 B2 Monitoring of drying and powder blending DOI
Temperature Correction of Spectra to Improve Solute Concentration Monitoring by In Situ Ultraviolet and Mid-Infrared Spectrometries toward Isothermal Local Model Performance 2022 Chong Magdalene W. S., McGlone Thomas, Chai Ching Yee, Briggs Naomi E. B., Brown Cameron J., Perciballi Francesca, Dunn Jaclyn, Parrott Andrew J., Dallin Paul, Andrews John, Nordon Alison, Florence Alastair J. Organic Process Research & Development C1 Multivariate data analysis, A5. ATR-MIR spectrometry DOI
The development and evaluation of a continuous flow process for the lipase mediated oxidation of alkenes 2009 Wiles C, Hammond MJ and Watts P Beilstein J. Org. Chem. 5(27) 1-12 B4 Microreactors and flow chemistry DOI
The development of an industrial-scale fed-batch fermentation simulation 2015 Goldrick Stephen, Stefan Andrei, Lovett David, Montague Gary, Lennox Barry Journal of Biotechnology 193 70-82 D1 Kinetic modelling DOI
The use of immobilised crown ethers as in situ N-protecting groups in organic synthesis and their application under continuous flow 2009 Wild GP, Wiles C, Watts P and Haswell SJ Tetrahedron 65 1618-1629 B4 Microreactors and flow chemistry DOI
Theoretical analysis of ultrasonic vibration spectra from multiple particle-plate impacts 2009 Carson G, Mulholland AJ, Nordon A, Gachagan A and Hayward G IEEE T. Ultrason. Ferrer. 56 1034-1041 A7. Ultrasonics and acoustic emission spectrometry DOI
Toward Continuous Deracemization via Racemic Crystal Transformation Monitored by in Situ Raman Spectroscopy 2019 Xiouras Christos, Belletti Giuseppe, Venkatramanan Raghunath, Nordon Alison, Meekes Hugo, Vlieg Elias, Stefanidis Georgios D., Ter Horst Joop H. Crystal Growth &amp; Design 19 5858-5868 A1. Non-invasive Raman spectrometry DOI
Toward Continuous Deracemization via Racemic Crystal Transformation Monitored by in Situ Raman Spectroscopy 2019 Xiouras Christos, Belletti Giuseppe, Venkatramanan Raghunath, Nordon Alison, Meekes Hugo, Vlieg Elias, Stefanidis Georgios D., Ter Horst Joop H. Crystal Growth & Design 19 5858-5868 A5. ATR-MIR spectrometry DOI
Towards better understanding of an industrial cell factory investigating the feasibility of real-time metabolic flux analysis in Pichia pastoris 2013 Fazenda M, Dias J, Harvey L, Nordon A, Edrada-Ebel R, Littlejohn D and NcNeil B Microbial Cell Factories 12:51 B3 Biological process analysis DOI
Towards intensifying Design of Experiements in upstream bioprocess development: An industrial E. coli feasibility study 2016 von Stosch M, Hamelink J M, Oliveira R. Biotechnology Progress D2 Multi-block, predictive and multi-scale modelling methods, D3 Performance monitoring DOI
Trialkylammonium salt degradation: implications for methylation and cross-coupling 2021 Washington Jack B., Assante Michele, Yan Chunhui, McKinney David, Juba Vanessa, Leach Andrew G., Baillie Sharon E., Reid Marc Chemical Science 12 6949-6963 B1 Reaction monitoring, D1 Kinetic modelling DOI
Universal enantiomeric discrimination by Raman spectroscopy 2015 Kiefer J, Noack K Analyst 140 1787-1790 A1. Non-invasive Raman spectrometry DOI
Use of in-line Near Infrared Spectroscopy to Predict the Viscosity of Shampoo using Multivariate Analysis 2019 Haroon Kiran, Arafeh Ali, Martin Philip, Rodgers Thomas, Mendoza Cesar, Baker Michael International Journal of Cosmetic Science A3. Transmission NIR spectrometry/Raman spectrometry DOI
Using process data to generate an optimal control policy via apprenticeship and reinforcement learning 2021 Mowbray Max, Smith Robin, Del Rio-Chanona Ehecatl A., Zhang Dongda AIChE Journal 67 E2 Process control DOI
Validity of particle size analysis techniques for measurement of the attrition that occurs during vacuum agitated powder drying of needle-shaped particles 2012 Hamilton P, Littlejohn D, Nordon A, Sefcik J and Slavin P Analyst 137 118 - 125 B2 Monitoring of drying and powder blending DOI
Variable importance: Comparison of selectivity ratio and significance multivariate correlation for interpretation of latent-variable regression models 2020 Kvalheim Olav M. Journal of Chemometrics 34 C1 Multivariate data analysis DOI
Variable selection for PLS calibration of NIR data from othogonally designed experiements 2002 Setarehdan S K, Soraghan J J, Littlejohn D, Sadler D A Applied Spectroscopy 56 337-345 C2 Calibration transfer/model maintenance DOI
Variation in the transmission near-infrared signal with depth in turbid media 2014 Kellichan N, Nordon A, Matousek P, Littlejohn D and McGeorge G Applied Spectroscopy 68 383-387 A3. Transmission NIR spectrometry/Raman spectrometry DOI
What Goes Around Comes Around 2010 Benson R and Morris AJ Pharmaceutical Packing and Manufacturing Sourcer (PMPS) February
Yeast cells with impaired drug resistance accumulate glycerol and glucose 2014 Dikicioglu, D., Oc, S., Rash, B. M., Dunn, W. B., Pir, P., Kell, D. B., . . . Oliver, S. G Molecular Biosytems 10 (1) 93-102 C1 Multivariate data analysis, B3 Biological process analysis DOI
Zero assignment for robust H_2/ H_infinity fault detection filter design 2009 Dai X, Gao Z, Breikin T and Wang H IEEE T. Sig. Pro. Sys. 57 1363-1372 D3 Performance monitoring DOI