The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.
Bioreactor monitoring with spectroscopy and chemometrics: a review
Abstract
Biotechnological processes are crucial to the development of any economy striving to ensure a relevant position in future markets. The cultivation of microorganisms in bioreactors is one of the most important unit operations of biotechnological processes, and real-time monitoring of bioreactors is essential for effective bioprocess control. In this review, published material on the potential application of different spectroscopic techniques for bioreactor monitoring is critically discussed, with particular emphasis on optical fiber technology, reported for in situ bioprocess monitoring. Application examples are presented by spectroscopy type, specifically focusing on ultraviolet-visible, near-infrared, mid-infrared, Raman, and fluorescence spectroscopy. The spectra acquisition devices available and the major advantages and disadvantages of each spectroscopy are discussed. The type of information contained in the spectra and the available chemometric methods for extracting that information are also addressed, including wavelength selection, spectra pre-processing, principal component analysis, and partial least-squares. Sample handling techniques (flow and sequential injection analysis) that include transport to spectroscopic sensors for ex-situ on-line monitoring are not covered in this review.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“the monitoring of intracellular and extracellular macromolecules in bioprocesses share many intrinsic similarities to yeast and bacteria bioprocesses, which have been extensively reviewed together due to these similarities [20,21,29].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“Currently, there are few reviews of vibrational spectroscopy as it pertains to the microalgae industry [9,17-19]; however, these reviews do not take into account the technological progress and development of on-line/in-line vibrational spectroscopy implemented in bioprocess, pharmaceutical, and liquid and solid food industries [20-28]”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“There are numerous cases of in situ MIR applications, all of which use ATR-FTIR probes to acquire quantitative MIR spectra of a multitude of media components and bioproducts [20,21].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“MIR spectra relevant to the microalgal industry obtained in situ in yeast and bacterial bioreaction suspensions in 5 L to 15 L reactors include optical density, ammonium, phosphates, acetate, glucose, fructose, organic acids as well as several bioproducts [20,21].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“However, a promising mode of MIR for wet applications is attenuated total reflectance Fourier transform infrared (ATR-FTR), which has had growing applications in pharmaceutical, agro-food, and environmental sectors and can be used on-line/in-line in liquid media (see reviews by [20] and [21]).”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“NIR in vivo analysis of microalgae has only yet investigated biomass, lipids, and carotenoids (Fig. 2) but the potential use of high-selectivity on-line/in-line NIR in microalgae bioreactions is evidenced by its prolific use in other bioprocesses [20,21].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“Most applications of vibrational spectroscopy PAT require calibration and validation of chemometric models [21, 48,102] with the exception of some analytes, for example carotenoids measured through Raman [94].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“Another drawback of ATR-FTIR is that fiber optic materials with sufficient MIR transmission are limited and costly [80] and require very short fiber optic cables and may not be suitable for multiplexing [21] to monitor inhomogeneities across large scale photobioreactors.”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
In the citing paper
“On the other hand, Raman and NIR are more likely to be multiplexed with fiber optic conduits, each which can be up to a few meters long [21].”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [21]
Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
PLS-regression: a basic tool of chemometrics
Wold, S., Sjöström, M., & Eriksson, L. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00155-1 · Cited by 10,084
Encyclopedia of Analytical Chemistry
Grochocki, W., Markuszewski, M., & Quirino, J. P. (2006) · Wiley eBooks · doi:10.1002/9780470027318 · Cited by 7,503
Infrared Spectroscopy: Fundamentals and Applications
Stuart, B. H. (2004) · Analytical Techniques in the Sciences · doi:10.1002/0470011149 · Cited by 4,427
Fuzzy clustering with a fuzzy covariance matrix
Gustafson, D. E., & Kessel, W. (1978) · IEEE Conference on Decision and Control including the Symposium on Adaptive Processes (CDC) · doi:10.1109/cdc.1978.268028 · Cited by 1,981
Fiber-Optic Chemical Sensors and Biosensors
Wolfbeis, O. S. (2006) · Analytical Chemistry · doi:10.1021/ac060490z · Cited by 1,635
Handbook of Near-Infrared Analysis
Burns, D. A., & Ciurczak, E. W. (2001) · CRC Press eBooks · doi:10.1201/9781003042204 · Cited by 1,472
Multivariate SPC Charts for Monitoring Batch Processes
Nomikos, P., & MacGregor, J. F. (1995) · Technometrics · doi:10.1080/00401706.1995.10485888 · Cited by 1,430
A user-friendly guide to Multivariate Calibration and Classification
Næs, T., Isaksson, T., Fearn, T., & Davies, T. (2017) · doi:10.1255/978-1-906715-25-0 · Cited by 1,401
A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies
Roggo, Y., Chalus, P., Maurer, L., Lema-Martinez, C., Edmond, A., & Jent, N. (2007) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2007.03.023 · Cited by 1,136
Research works printed but not linked: 6
- Morris R (2010) How optical advances helped deliver the promise of miniature spectrometers. Spectroscopy 25:30–35
- Mark H (2000) In: Meyers RA (ed) Encyclopedia of analytical chemistry. John Wiley and Sons, Chichester
- Kourti T (2004) Process analytical technology and multivariate statistical process control. PAT J Proc Anal Technol 1:13–19
- Baylor LC, O’Rourke PE (2005) In: Bakeev KA (ed) Process analytical technology – spectroscopic tools and implementation strategies for the chemical and pharmaceutical industries. Blackwell, Oxford
- Bakeev KA (ed) (2005) Process analytical technology – spectroscopy tools and implementation strategies for the chemical and pharmaceutical industries. Blackwell, Oxford
- Hart JR, Golumbic C, Norris KH (1962) Determination of moisture content if seeds by near-infrared spectrophotometry of their methanol extracts. Cereal Chem 39:94–99
Cited by
Sorted by citations
Esmonde-White, K. A., Cuellar, M., Uerpmann, C., Lenain, B., & Lewis, I. R. (2017) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9824-1 · Cited by 332
Sensor systems for bioprocess monitoring
Biechele, P., Busse, C., Solle, D., Scheper, T., & Reardon, K. (2015) · Engineering in Life Sciences · doi:10.1002/elsc.201500014 · Cited by 224
Wang, K., Sun, D., & Pu, H. (2017) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2017.06.001 · Cited by 206
Process Analytical Technologies – Advances in bioprocess integration and future perspectives
Gerzon, G., Sheng, Y., & Kirkitadze, M. D. (2021) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2021.114379 · Cited by 179
Claßen, J., Aupert, F., Reardon, K. F., Solle, D., & Scheper, T. (2017) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-0068-x · Cited by 176
Data science tools and applications on the way to Pharma 4.0
Steinwandter, V., Borchert, D., & Herwig, C. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.06.005 · Cited by 156
Delvigne, F., & Goffin, P. (2013) · Biotechnology Journal · doi:10.1002/biot.201300119 · Cited by 156
Gargalo, C. L., Udugama, I. A., Pontius, K., López, P. C., Nielsen, R. F., Hasanzadeh, A., Mansouri, S. S., Bayer, C., Junicke, H., & Gernaey, K. V. (2020) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-020-02308-1 · Cited by 138
Berry, B. N., Dobrowsky, T. M., Timson, R. C., Kshirsagar, R., Ryll, T., & Wiltberger, K. (2015) · Biotechnology Progress · doi:10.1002/btpr.2205 · Cited by 135
Between the Poles of Data‐Driven and Mechanistic Modeling for Process Operation
Solle, D., Hitzmann, B., Herwig, C., Pereira Remelhe, M., Ulonska, S., Wuerth, L., Prata, A., & Steckenreiter, T. (2017) · Chemie Ingenieur Technik · doi:10.1002/cite.201600175 · Cited by 134
Modern Sensor Tools and Techniques for Monitoring, Controlling, and Improving Cell Culture Processes
Reyes, S. J., Durocher, Y., Pham, P. L., & Henry, O. (2022) · Processes · doi:10.3390/pr10020189 · Cited by 130
New generation of bioreactors that advance extracellular matrix modelling and tissue engineering
Ahmed, S., Chauhan, V. M., Ghaemmaghami, A. M., & Aylott, J. W. (2018) · Biotechnology Letters · doi:10.1007/s10529-018-2611-7 · Cited by 135
Scale-Up Technologies for the Manufacture of Adherent Cells
Bellani, C. F., Ajeian, J., Duffy, L., Miotto, M., Groenewegen, L., & Connon, C. J. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2020.575146 · Cited by 130
Bioreactor control systems in the biopharmaceutical industry: a critical perspective
Mitra, S., & Murthy, G. S. (2021) · Systems Microbiology and Biomanufacturing · doi:10.1007/s43393-021-00048-6 · Cited by 118
Ferreira, A. P., & Tobyn, M. (2014) · Pharmaceutical Development and Technology · doi:10.3109/10837450.2014.898656 · Cited by 117
Applications of Fourier transform infrared spectroscopy to pharmaceutical preparations
Song, Y., Cong, Y., Wang, B., & Zhang, N. (2020) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2020.1737671 · Cited by 114
Challenges in the Development of Soft Sensors for Bioprocesses: A Critical Review
Brunner, V., Siegl, M., Geier, D., & Becker, T. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.722202 · Cited by 100
Cultivating Multidisciplinarity: Manufacturing and Sensing Challenges in Cultured Meat Production
Djisalov, M., Knežić, T., Podunavac, I., Živojević, K., Radonić, V., Knežević, N. Ž., Bobrinetskiy, I. I., & Gadjanski, I. (2021) · Biology · doi:10.3390/biology10030204 · Cited by 102
Autonomous Multi‐Step and Multi‐Objective Optimization Facilitated by Real‐Time Process Analytics
Sagmeister, P., Ort, F. F., Jusner, C. E., Hébrault, D., Tampone, T. G., Buono, F. G., Williams, J. D., & Kappe, C. O. (2022) · Advanced Science · doi:10.1002/advs.202105547 · Cited by 89
Monitoring biological wastewater treatment processes: recent advances in spectroscopy applications
Mesquita, D. P., Quintelas, C., Amaral, A. L., & Ferreira, E. C. (2017) · Reviews in Environmental Science and Bio/Technology · doi:10.1007/s11157-017-9439-9 · Cited by 69
Li, M., Ebel, B., Paris, C., Chauchard, F., Guédon, E., & Marc, A. (2018) · Biotechnology Progress · doi:10.1002/btpr.2604 · Cited by 68
Rafferty, C., Johnson, K., O'Mahony, J., Burgoyne, B., Rea, R., & Balss, K. M. (2020) · Biotechnology Progress · doi:10.1002/btpr.2977 · Cited by 63
Aleixandre-Tudó, J. L., Nieuwoudt, H. H., Aleixandre, J. L., & du Toit, W. (2017) · Talanta · doi:10.1016/j.talanta.2017.08.065 · Cited by 63
Kornecki, M., & Strube, J. (2018) · Bioengineering · doi:10.3390/bioengineering5010025 · Cited by 61
Koch, C., Posch, A. E., Goicoechea, H. C., Herwig, C., & Lendl, B. (2013) · Analytica Chimica Acta · doi:10.1016/j.aca.2013.10.042 · Cited by 61
Online monitoring of P(3HB) produced from used cooking oil with near-infrared spectroscopy
Cruz, M. V., Sarraguça, M. C., Freitas, F., Lopes, J. A., & Reis, M. A. M. (2014) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2014.11.022 · Cited by 59
Self-citationRen, Y., Ji, Y., Teng, L., & Zhang, H. (2017) · Microbial Cell Factories · doi:10.1186/s12934-017-0849-8 · Cited by 59
Regulation of mesenchymal stem cell 3D microenvironment: From macro to microfluidic bioreactors
Sart, S., Agathos, S. N., Li, Y., & Ma, T. (2015) · Biotechnology Journal · doi:10.1002/biot.201500191 · Cited by 58
Toward Biotherapeutic Product Real‐Time Quality Monitoring
Guerra, A., von Stosch, M., & Glassey, J. (2019) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2018.1524362 · Cited by 58
Baradez, M.-O., Biziato, D., Hassan, E., & Marshall, D. (2018) · Frontiers in Medicine · doi:10.3389/fmed.2018.00047 · Cited by 55
Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass
López, P. C., Feldman, H., Mauricio‐Iglesias, M., Junicke, H., Huusom, J. K., & Gernaey, K. V. (2019) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2019.105296 · Cited by 75
Chemometrics in food science and technology: A bibliometric study
Aleixandre-Tudó, J. L., Castelló‐Cogollos, L., Aleixandre, J. L., & Aleixandre‐Benavent, R. (2022) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2022.104514 · Cited by 55
Takahashi, M., Leme, J., Caricati, C. P., Tonso, A., Núñez, E. G. F., & Rocha, J. C. (2014) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-014-1346-7 · Cited by 56
The Use of UV-Vis Spectroscopy in Bioprocess and Fermentation Monitoring
Roberts, J., Power, A., Chapman, J., Chandra, S., & Cozzolino, D. (2018) · Fermentation · doi:10.3390/fermentation4010018 · Cited by 53
Hybrid Modeling for On-Line Fermentation Optimization and Scale-Up: A Review
Albino, M., Gargalo, C. L., Nadal‐Rey, G., Albæk, M. O., Krühne, U., & Gernaey, K. V. (2024) · Processes · doi:10.3390/pr12081635 · Cited by 55
Ullah, S., Ahmad, A., Wang, A., Raza, M., Jan, A. U., Tahir, K., Rahman, A. U., & Qipeng, Y. (2017) · Journal of Photochemistry and Photobiology B Biology · doi:10.1016/j.jphotobiol.2017.06.018 · Cited by 52
Loudiyi, M., Temiz, H. T., Sahar, A., Ahmad, M. H., Boukria, O., Hassoun, A., & Aït‐Kaddour, A. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1862754 · Cited by 52
The ecology of wine fermentation: a model for the study of complex microbial ecosystems
Conacher, C. G., Luyt, N. A., Naidoo-Blassoples, R. K., Rossouw, D., Setati, M. E., & Bauer, F. F. (2021) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-021-11270-6 · Cited by 48
Mazivila, S. J., & Santos, J. L. M. (2022) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2022.116698 · Cited by 54
Ultraviolet-visible spectroscopy for food quality analysis
Power, A., Chapman, J., Chandra, S., & Cozzolino, D. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814217-2.00006-8 · Cited by 50
Abu‐Absi, N. R., Martel, R. P., Lanza, A. M., Clements, S. J., Borys, M., & Li, Z. J. (2014) · Pharmaceutical Bioprocessing · doi:10.4155/pbp.14.24 · Cited by 48
Guo, S., Qiu, S., Cai, Y., Wang, Z., Yang, Q., Tang, S., Xie, Y., & Zhang, A. (2023) · Frontiers in Chemistry · doi:10.3389/fchem.2023.1142287 · Cited by 48
López, P. C., Udugama, I. A., Thomsen, S. T., Roslander, C., Junicke, H., Mauricio‐Iglesias, M., & Gernaey, K. V. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27586 · Cited by 47
Advances in bioreactor control for production of biotherapeutic products
Nikita, S., Mishra, S., Gupta, K., Runkana, V., Gomes, J., & Rathore, A. S. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28346 · Cited by 47
Marinova, P. E., & Tamahkyarova, K. D. (2025) · Compounds · doi:10.3390/compounds5020014 · Cited by 46
Zhao, S., Adade, S. Y. S., Wang, Z., Wu, J., Jiao, T., Li, H., & Chen, Q. (2023) · Food Chemistry · doi:10.1016/j.foodchem.2023.136208 · Cited by 45
Monitoring of the cellulosic ethanol fermentation process by near-infrared spectroscopy
Pinto, A. S. S., Pereira, S. C., Ribeiro, M. P. D. A., & Farinas, C. S. (2015) · Bioresource Technology · doi:10.1016/j.biortech.2015.12.069 · Cited by 45
Estimation of nitrite in source-separated nitrified urine with UV spectrophotometry
Mašić, A., Santos, A. T. L., Etter, B., Udert, K. M., & Villez, K. (2015) · Water Research · doi:10.1016/j.watres.2015.08.031 · Cited by 45
Zavala-Ortiz, D., Ebel, B., Li, M., Barradas-Dermitz, D. M., Hayward‐Jones, P. M., Aguilar‐Uscanga, M. G., Marc, A., & Guédon, E. (2019) · Biotechnology Progress · doi:10.1002/btpr.2924 · Cited by 44
Perspectives of optical colourimetric sensors for anaerobic digestion
Lamb, J. J., Olivier Bernard, A., Sarker, S., Lien, K. M., & Hjelme, D. R. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.04.083 · Cited by 44
Krämer, D., & King, R. (2017) · Journal of Process Control · doi:10.1016/j.jprocont.2017.11.008 · Cited by 43
Cavaglia, J., Schorn‐García, D., Giussani, B., Ferré, J., Busto, O., Aceña, L., Mestres, M., & Boqué, R. (2019) · Food Control · doi:10.1016/j.foodcont.2019.106947 · Cited by 43
Li, B., Shanahan, M., Calvet, A., Leister, K. J., & Ryder, A. G. (2014) · The Analyst · doi:10.1039/c4an00007b · Cited by 41
Ohadi, K., Legge, R. L., & Budman, H. M. (2014) · Biotechnology and Bioengineering · doi:10.1002/bit.25339 · Cited by 41
Kozma, B., Hirsch, E., Gergely, S., Párta, L., Pataki, H., & Salgó, A. (2017) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2017.06.070 · Cited by 41
Sensors and Techniques for On-Line Determination of Cell Viability in Bioprocess Monitoring
Rösner, L., Walter, F., Ude, C., John, G., & Beutel, S. (2022) · Bioengineering · doi:10.3390/bioengineering9120762 · Cited by 42
Where are modern flow techniques heading to?
Horstkotte, B., Miró, M., & Solich, P. (2018) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-018-1285-2 · Cited by 39
Domján, J., Fricska, A., Madarász, L., Gyürkés, M., Köte, Á., Farkas, A., Vass, P., Fehér, C., Horváth, B., Könczöl, K., et al. (2020) · Biotechnology Progress · doi:10.1002/btpr.3052 · Cited by 39
See, X. Y., Wen, X., Wheeler, T. A., Klein, C. K., Goodpaster, J. D., Reiner, B. R., & Tonks, I. A. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c03939 · Cited by 39
Process analytical technology tools for perfusion cell culture
Mercier, S. M., Rouel, P. M., Lebrun, P., Diepenbroek, B., Wijffels, R. H., & Streefland, M. (2015) · Engineering in Life Sciences · doi:10.1002/elsc.201500035 · Cited by 37
Liu, G., Zheng, H., & Lu, J. (2017) · Trends in Environmental Analytical Chemistry · doi:10.1016/j.teac.2017.10.002 · Cited by 37
Sales, K. C., Rosa, F., Sampaio, P., Fonseca, L. P., Lopes, M. B., & Calado, C. R. C. (2015) · Applied Spectroscopy · doi:10.1366/14-07588 · Cited by 37
Real time in-line monitoring of large scale Bacillus fermentations with near-infrared spectroscopy
Alves-Rausch, J., Bienert, R., Grimm, C., & Bergmaier, D. (2014) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2014.09.004 · Cited by 36
Koch, C., Brandstetter, M., Wechselberger, P., Lorantfy, B., Plata, M. R., Radel, S., Herwig, C., & Lendl, B. (2015) · Analytical Chemistry · doi:10.1021/ac504126v · Cited by 35
Matthews, T. E., Smelko, J. P., Berry, B., Romero‐Torres, S., Hill, D., Kshirsagar, R., & Wiltberger, K. (2018) · Biotechnology Progress · doi:10.1002/btpr.2711 · Cited by 34
Li, M., Ebel, B., Chauchard, F., Guédon, E., & Marc, A. (2018) · Biochemical Engineering Journal · doi:10.1016/j.bej.2018.06.005 · Cited by 34
Monitoring and Control of Bioethanol Production From Lignocellulosic Biomass
Gomes, J., Batra, J., Chopda, V., Pandi, K., & Rathore, A. S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-444-63992-9.00025-2 · Cited by 34
de Oliveira, R. R., Ávila, C., Bourne, R. A., Muller, F. L., & de Juan, A. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-020-02404-2 · Cited by 34
Tuning monoclonal antibody galactosylation using Raman spectroscopy‐controlled lactic acid feeding
Eyster, T. W., Talwar, S., Fernandez, J., Foster, S., Hayes, J., Allen, R., Reidinger, S., Wan, B., Ji, X., Aon, J. C., et al. (2020) · Biotechnology Progress · doi:10.1002/btpr.3085 · Cited by 34
Raman Spectroscopy as Process Analytical Tool in Downstream Processing of Biotechnology
Lin, Y. K., Leong, H. Y., Ling, T. C., Lin, D.-Q., & Yao, S.-J. (2021) · Chinese Journal of Chemical Engineering · doi:10.1016/j.cjche.2020.12.008 · Cited by 35
Podevin, M., Fotidis, I. A., & Angelidaki, I. (2018) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2017.1398132 · Cited by 34
Barchi, A. C., Ito, S., Escaramboni, B., Neto, P. D. O., Herculano, R. D., Miranda, M. C. R., Passalia, F. J., Rocha, J. C., & Núñez, E. G. F. (2016) · Process Biochemistry · doi:10.1016/j.procbio.2016.07.017 · Cited by 33
Zimmerleiter, R., Kager, J., Nikzad‐Langerodi, R., Berezhinskiy, V., Westad, F., Herwig, C., & Brandstetter, M. (2019) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-019-02227-w · Cited by 33
Quantitative Assessment of Cold Injury in Tea Plants by Terahertz Spectroscopy Method
Lu, Y., Asante, E. A., Duan, H., & Hu, Y. (2023) · Agronomy · doi:10.3390/agronomy13051376 · Cited by 32
Soft-sensor development for monitoring the lysine fermentation process
Tokuyama, K., Shimodaira, Y., Kodama, Y., Matsui, R., Kusunose, Y., Fukushima, S., Nakai, H., Tsuji, Y., Toya, Y., Matsuda, F., et al. (2021) · Journal of Bioscience and Bioengineering · doi:10.1016/j.jbiosc.2021.04.002 · Cited by 32
Development and testing of mid-infrared sensors for in-line process monitoring in biotechnology
Bogomolov, A. Y., Heßling, M., Wenzel, U., Princz, S., Hellmuth, T., Bernal, M. J. B., Sakharova, T., Usenov, I., Artyushenko, V. G., & Meyer, H. (2015) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2015.07.118 · Cited by 31
Aït‐Kaddour, A., Hassoun, A., Bord, C., Filgueras, R. S., Biancolillo, A., Donato, F. D., Temiz, H. T., & Cozzolino, D. (2021) · Food and Bioprocess Technology · doi:10.1007/s11947-021-02607-0 · Cited by 31
Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives
Mirveis, Z., Howe, O. L., Cahill, P. A., Patil, N., & Byrne, H. J. (2023) · Metabolomics · doi:10.1007/s11306-023-02031-9 · Cited by 35
Lieutaud, C., Assaf, A., Gonçalves, O., Wielgosz‐Collin, G., & Thouand, G. (2019) · Algal Research · doi:10.1016/j.algal.2019.101595 · Cited by 31
Fluorescence‐based soft sensor for at situ monitoring of chinese hamster ovary cell cultures
Ohadi, K., Aghamohseni, H., Legge, R. L., & Budman, H. M. (2014) · Biotechnology and Bioengineering · doi:10.1002/bit.25222 · Cited by 29
The Upstream Process: Principal Modes of Operation
Lindskog, E. K. (2018) · Elsevier eBooks · doi:10.1016/b978-0-08-100623-8.00031-1 · Cited by 31
Kim, S., d′Anjou, M., Lanz, K. J., Evans, C. E., Gibson, E. R., Olesberg, J. T., Mallem, M. R., Shandil, I., Nylen, A., Koerperick, E. J., et al. (2014) · Biochemical Engineering Journal · doi:10.1016/j.bej.2014.12.002 · Cited by 27
Hemeda, N. A., Hegazy, G. E., Abdelgalil, S. A., Soliman, N. A.-M., Abdel-Meguid, D. I., & El-Assar, S. A. (2022) · Journal of Genetic Engineering and Biotechnology · doi:10.1186/s43141-022-00452-y · Cited by 30
Fan, R., Ebrahimi, M., Quitmann, H., Aden, M., & Czermak, P. (2016) · Sensors · doi:10.3390/s16030411 · Cited by 30
Drieschner, T., Ostertag, E., Boldrini, B., Lorenz, A., Brecht, M., & Rebner, K. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-019-02322-y · Cited by 26
Jossen, V., Eibl, R., Pörtner, R., Kraume, M., & Eibl, D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-444-63663-8.00007-0 · Cited by 26
Multivariate Analysis and Statistics in Pharmaceutical Process Research and Development
Tábora, J. E., & Domagalski, N. R. (2017) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-060816-101418 · Cited by 25
Xu, R., Cao, J.-S., Luo, J., Ni, B., Fang, F., Liu, W., & Wang, P. (2024) · npj Clean Water · doi:10.1038/s41545-024-00367-w · Cited by 27
Bibliometric insights into the spectroscopy research field: A food science and technology case study
Aleixandre-Tudó, J. L., Castelló‐Cogollos, L., Aleixandre, J. L., & Aleixandre‐Benavent, R. (2019) · Applied Spectroscopy Reviews · doi:10.1080/05704928.2019.1694936 · Cited by 24
Voss, J., Mittelheuser, N. E., Lemke, R., & Luttmann, R. (2017) · Engineering in Life Sciences · doi:10.1002/elsc.201600229 · Cited by 24
Real-time bioprocess monitoring using a mid-infrared fibre-optic sensor
Alimagham, F., Winterburn, J. B., Dolman, B. M., Domingues, P. M., Everest, F. L. C., Platkov, M., Basov, S., Izakson, G., Katzir, A., Elliott, S. R., et al. (2020) · Biochemical Engineering Journal · doi:10.1016/j.bej.2020.107889 · Cited by 24
Clifford, A. J., Lackey, H. E., Nelson, G. L., Bryan, S. A., & Lines, A. M. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c00244 · Cited by 23
Guardalini, L. G. O., Cavalcante, P. E. D. S., Leme, J., de Mello, R. G., Bernardino, T. C., Astray, R. M., Barbosa, E., da Silveira, S. R., Ho, P. L., Tonso, A., et al. (2022) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2022.12.009 · Cited by 23
Perspectives of surface plasmon resonance sensors for optimized biogas methanation
Lamb, J. J., Olivier Bernard, A., Sarker, S., Lien, K. M., & Hjelme, D. R. (2019) · Engineering in Life Sciences · doi:10.1002/elsc.201900063 · Cited by 22
Garcia, J. A., da Silva, J. R. A., & Pereira‐Filho, E. R. (2021) · Microchemical Journal · doi:10.1016/j.microc.2021.106007 · Cited by 22
Musmann, C., Joeris, K., Markert, S., Solle, D., & Scheper, T. H. (2016) · Engineering in Life Sciences · doi:10.1002/elsc.201500122 · Cited by 22
ATR-MIR spectroscopy as a process analytical technology in wine alcoholic fermentation – A tutorial
Schorn‐García, D., Cavaglia, J., Giussani, B., Busto, O., Aceña, L., Mestres, M., & Boqué, R. (2021) · Microchemical Journal · doi:10.1016/j.microc.2021.106215 · Cited by 22
On-line monitoring of process parameters during fermentation
Gargalo, C. L., López, P. C., Hasanzadeh, A., Udugama, I. A., & Gernaey, K. V. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91167-2.00003-4 · Cited by 21
Jiang, H., Wang, W., Mei, C., Huang, Y., & Chen, Q. (2017) · Energy & Fuels · doi:10.1021/acs.energyfuels.7b02170 · Cited by 22
Ladner, T., Beckers, M., Hitzmann, B., & Büchs, J. (2016) · Biotechnology Journal · doi:10.1002/biot.201600515 · Cited by 20
Metadata
- Authors
- Lourenço, N. D., Lopes, J. A., Almeida, C. F., Sarraguça, M. C., & Pinheiro, H. M.
- Affiliations
- Institute for Biotechnology and Bioengineering (PT)
- Universidade do Porto (PT)
- Corresponding author
- Lourenço, N. D.
- Venue
- Analytical and Bioanalytical Chemistry
- Published
- 2012-05-30
- Volume
- 404
- Issue
- 4
- Pages
- 1211-1237
- ISSN
- 1618-2642 (ISSN-L)
- 1618-2650
- OpenAlex
- W2057328981
- Cited by
- 275
- References
- 123
- Citations by year
- 2026: 10 · 2025: 20 · 2024: 23 · 2023: 13 · 2022: 20 · 2021: 23 · 2020: 22 · 2019: 23 · 2018: 21 · 2017: 29 · 2016: 28 · 2015: 17 · 2014: 16 · 2013: 10
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Analytical and Bioanalytical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Environmental Science › Waste Management and Disposal › Water Quality Monitoring and Analysis
- Keywords
- bioreactor monitoring, bioprocess monitoring, in situ monitoring, fiber optic sensors, UV-Vis spectroscopy, near-infrared spectroscopy, mid-infrared spectroscopy, Raman spectroscopy, fluorescence spectroscopy, chemometrics, principal component analysis, partial least squares, wavelength selection, microbial cultivation, real-time process control
- MeSH terms
- Bacteria, Biotechnology, Spectrum Analysis, Bioreactors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review