Quantification of Exopolysaccharide, Lactic Acid, and Lactose Concentrations in Culture Broth by near-Infrared Spectroscopy
Abstract
Near-infrared spectroscopy (NIRS) was used for the simultaneous prediction of exopolysaccharide (EPS; 0-3 g/L) and lactic acid (0-59 g/L) productions as well as lactose (0-68 g/L) concentration in supernatant samples from pH-controlled batch cultures of Lactobacillus rhamnosus RW-9595M in supplemented whey permeate medium. To develop calibration equations, the correlation between the second derivative of 164 NIRS transmittance spectra and concentration data obtained with reference methods was calculated at the wavelength between 1653-1770 and 2041-2353 nm, using a partial least-squares method (PLS). The lactic acid and lactose concentrations were measured by HPLC, and the EPS concentration was estimated by a new ultrafiltration method. The PLS correlation coefficient (R(2)) and the standard error of cross-validation for the calibrations were 91% and 0.26 g/L for EPS, 99% and 2.54 g/L for lactic acid, and 98% and 3.32 g/L for lactose, respectively. The calibration equations were validated with 45 randomly selected culture samples from 6 cultures that were not used for calibration. A high agreement between data of the reference methods and those of NIRS was observed, with correlation coefficients and standard errors of prediction of 99% and 1.64 g/L for lactic acid, 99% and 4.5 g/L for lactose, and 91% and 0.32 g/L for EPS. The results suggest that NIRS could be a useful method for rapid monitoring and control of EPS lactic fermentations.
Integrity signals
Registry
Cites
Statistics
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?
A near infrared spectroscopy method for rapid and simultaneous quantification of lactic acid, lactose and EPS directly in culture media without prior isolation led to results with strong correlation (R2 > 0.90) with reference methods.
“For a rapid and simultaneous quantification of lactic acid, lactose and EPS directly in culture media without a prior isolation step, a near infrared (NIR) spectroscopy method has also been reported by Macedo et al. [29] This method led to results with strong correlation (R2 > 0.90) with reference methods to indicate the effectiveness for monitoring the production of EPS and lactic acid during fer”
From Lactic Acid Bacteria Exopolysaccharides Producers: A Sustainable Tool for Functional Foods (2021) · cites this paper as [29]
Cites
Colorimetric Method for Determination of Sugars and Related Substances
DuBois, M., Gilles, K. A., Hamilton, J. K., Rebers, P. A., & Smith, F. (1956) · Analytical Chemistry · doi:10.1021/ac60111a017 · Cited by 52,269 · see citing works
Heteropolysaccharides from lactic acid bacteria
Vuyst, L. D., & Degeest, B. (1999) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.1999.tb00395.x · Cited by 840 · see citing works
Cerning, J., Renard, C. M. G. C., Thibault, J.-F., Bouillanne, C., Landon, M., Desmazeaud, M., & Topisirovic, L. (1994) · Applied and Environmental Microbiology · doi:10.1128/aem.60.11.3914-3919.1994 · Cited by 251 · see citing works
Digester and Filter for Preparing Extract Solutions from Solids-Corrections
Atta, G. R. V., & Guggolz, J. (1956) · Analytical Chemistry · doi:10.1021/ac60111a041 · Cited by 217 · see citing works
Development of robust calibration models in near infra-red spectrometric applications
Swierenga, H., Wülfert, F., de Noord, O. E., de Weijer, A. P., Smilde, A. K., & Buydens, L. M. C. (2000) · Analytica Chimica Acta · doi:10.1016/s0003-2670(00)00718-2 · Cited by 150 · see citing works
Microbial exopolysaccharides - structural subtleties and their consequences
Sutherland, I. W. (1997) · Pure and Applied Chemistry · doi:10.1351/pac199769091911 · Cited by 91 · see citing works
Vaccari, G., Dosi, E., Campi, A. L., Mantovani, G., Antonio González‐Vara y, R., & Matteuzzi, D. (1994) · Biotechnology and Bioengineering · doi:10.1002/bit.260431003 · Cited by 84 · see citing works
Calibration in non-linear near infrared reflectance spectroscopy: a comparison of several methods
Blanco, M., Coello, J., Iturriaga, H., Maspoch, S., & Pagès, J. (1999) · Analytica Chimica Acta · doi:10.1016/s0003-2670(98)00814-9 · Cited by 78 · see citing works
Yano, T., Aimi, T., Nakano, Y., & TAMAI, M. (1997) · Journal of Fermentation and Bioengineering · doi:10.1016/s0922-338x(97)82008-9 · Cited by 73 · see citing works
Dupont, I. E., Roy, D., & LaPointe, G. (2000) · Journal of Industrial Microbiology & Biotechnology · doi:10.1038/sj.jim.2900810 · Cited by 72 · see citing works
Riley, M. R., Arnold, M. A., Murhammer, D. W., Walls, E. L., & DelaCruz, N. (1998) · Biotechnology Progress · doi:10.1021/bp980022d · Cited by 60 · see citing works
Vaidyanathan, S., McNeil, B. W. J., & Macaloney, G. (1999) · The Analyst · doi:10.1039/a806847j · Cited by 39 · see citing works
Rapid Calibration of Near-Infrared Spectroscopic Measurements of Mammalian Cell Cultivations
Riley, M. R., Okeson, C. D., & Frazier, B. L. (1999) · Biotechnology Progress · doi:10.1021/bp990117v · Cited by 30 · see citing works
The effect of analyte concentration range on measurement errors obtained by NIR spectroscopy
Riley, M. R. (2000) · Talanta · doi:10.1016/s0039-9140(00)00403-3 · Cited by 27 · see citing works
Ding, Q.-P., Small, G. W., & Arnold, M. A. (1999) · Applied Spectroscopy · doi:10.1366/0003702991946866 · Cited by 24 · see citing works
YEAST PROTEIN MEASUREMENT USING NEAR INFRARED REFLECTANCE SPECTROSCOPY
Majara, M., Mochaba, F. M., O'Connor-Cox, E. S. C., Axcell, B. C., & Alexander, A. (1998) · Journal of the Institute of Brewing · doi:10.1002/j.2050-0416.1998.tb00988.x · Cited by 20 · see citing works
Stability of 2170nm as a Key Wavelength for Protein Analysis by Near Infrared Spectroscopy.
Kamishikiryo, H., Hasegawa, K., & Matoba, T. (1991) · NIPPON SHOKUHIN KOGYO GAKKAISHI · doi:10.3136/nskkk1962.38.850 · Cited by 19 · see citing works
Measurement and control in bioprocessing
Carr‐Brion, K. G. (1991) · Elsevier eBooks · Cited by 16 · see citing works
Improving Complex Near-IR Calibrations Using a New Wavelength Selection Algorithm
McShane, M. J., Cameron, B. D., Coté, G. L., & Spiegelman, C. H. (1999) · Applied Spectroscopy · doi:10.1366/0003702991946037 · Cited by 16 · see citing works
Riley, M. R., Arnold, M. A., & Murhammer, D. W. (2000) · Applied Spectroscopy · doi:10.1366/0003702001949186 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ruas-Madiedo, P., & de los Reyes-Gavilán, C. G. (2005) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(05)72750-8 · Cited by 456 · see citing works
Lactic Acid Bacteria Exopolysaccharides Producers: A Sustainable Tool for Functional Foods
Prete, R., Alam, M. K., Perpetuini, G., Perla, C., Pittia, P., & Corsetti, A. (2021) · Foods · doi:10.3390/foods10071653 · Cited by 194 · see citing works
“[29] This method led to results with strong correlation (R2 > 0.”
MethodSørensen, H. M., Rochfort, K. D., Maye, S., Macleod, G. H. B., Brabazon, D., Loscher, C. E., & Freeland, B. H. (2022) · Nutrients · doi:10.3390/nu14142938 · Cited by 190 · see citing works
Shui-fang, L., Zhang, X., Shan, Y., Su, D., Ma, Q., Wen, R., & Jiao-juan, L. (2016) · Food Chemistry · doi:10.1016/j.foodchem.2016.08.105 · Cited by 150 · see citing works
Leroy, F., & De Vuyst, L. (2016) · Journal of Dairy Science · doi:10.3168/jds.2015-9936 · Cited by 96 · see citing works
Yadav, M. K., Song, J. H., Vasquez, R., Lee, J. S., Kim, I. H., & Kang, D. (2024) · Foods · doi:10.3390/foods13223687 · Cited by 87 · see citing works
Real-Time Monitoring of Yogurt Fermentation Process by Aquaphotomics Near-Infrared Spectroscopy
Munćan, J. S., Tei, K., & Tsenkova, R. N. (2020) · Sensors · doi:10.3390/s21010177 · Cited by 84 · see citing works
Methods for quantification of growth and productivity in anaerobic microbiology and biotechnology
Mauerhofer, L., Pappenreiter, P., Paulik, C., Seifert, A. H., Bernacchi, S., & Rittmann, S. K. ‐. R. (2018) · Folia Microbiologica · doi:10.1007/s12223-018-0658-4 · Cited by 81 · see citing works
Applications of Infrared and Raman Spectroscopies to Probiotic Investigation
Santos, M. I., Gerbino, E., Tymczyszyn, E. E., & Gómez‐Zavaglia, A. (2015) · Foods · doi:10.3390/foods4030283 · Cited by 72 · see citing works
Tarannum, N., Hossain, T. J., Ali, F., Das, T., Dhar, K., & Nafiz, I. H. (2023) · LWT · doi:10.1016/j.lwt.2023.115263 · Cited by 69 · see citing works
Maâlej, H., Hmidet, N., Boisset, C., Buon, L., Heyraud, A., & Nasri, M. (2014) · Journal of Applied Microbiology · doi:10.1111/jam.12688 · Cited by 60 · see citing works
Niu, X., Shen, F., Yu, Y., Yan, Z.-K., Xu, K., Yu, H., & Ying, Y. B. (2008) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf800993e · Cited by 59 · see citing works
Nemati, V., & Mozafarpour, R. (2024) · LWT · doi:10.1016/j.lwt.2024.116116 · Cited by 45 · see citing works
Kornmann, H., Valentinotti, S., Duboc, P., Marison, I. W., & von Stockar, U. (2004) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2004.03.029 · Cited by 45 · see citing works
de Paiva, I. M., Steinberg, R. S., Lula, I. S., de Souza-Fagundes, E. M., Mendes, T. D. O., Bell, M. J. V., Nicoli, J. R., Nunes, Á. C., & Neumann, E. (2016) · LWT · doi:10.1016/j.lwt.2016.05.010 · Cited by 36 · see citing works
Treguier, S., Couderc, C., Tormo, H., Kleiber, D., & Levasseur‐Garcia, C. (2019) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2019.105693 · Cited by 27 · see citing works
Feng, S., Xiang, S., Bian, X., & Li, G. (2020) · Microchemical Journal · doi:10.1016/j.microc.2020.105049 · Cited by 26 · see citing works
Kim, D.-Y., & Cho, B. (2015) · Infrared Physics & Technology · doi:10.1016/j.infrared.2015.09.007 · Cited by 25 · see citing works
Santos, M. I., Araujo-Andrade, C., Esparza-Ibarra, E. L., Tymczyszyn, E. E., & Gómez‐Zavaglia, A. (2014) · Biotechnology Progress · doi:10.1002/btpr.1969 · Cited by 23 · see citing works
Developing new polysaccharides
Vuyst, L. D., & Vaningelgem, F. (2003) · Elsevier eBooks · doi:10.1533/9781855737082.2.275 · Cited by 19 · see citing works
Chen, J., & Jin, Y. (2010) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2010.07.004 · Cited by 18 · see citing works
Real‐time update of calibration model for better monitoring of batch processes using spectroscopy
Kornmann, H., Valentinotti, S., Marison, I. W., & von Stockar, U. (2004) · Biotechnology and Bioengineering · doi:10.1002/bit.20153 · Cited by 14 · see citing works
Belgrano, F. S., Verçoza, B. R. F., Rodrigues, J. C. F., Hatti‐Kaul, R., & Pereira, N. (2018) · Journal of Applied Microbiology · doi:10.1111/jam.13895 · Cited by 12 · see citing works
Bergmaier, D. (2002) · Corpus Université Laval (Université Laval) · Cited by 8 · see citing works
Exopolysaccharides from Lactic Acid Bacteria
Champagne, C. P., Farnworth, E. R., & Calsteren, M. V. (2006) · Modern nutrition · doi:10.1201/9781420006186.ch18 · Cited by 7 · see citing works
Miao, Z. T. (2015) · The Atrium (University of Guelph) · Cited by 6 · see citing works
Lule, V. K., Tomar, S. K., & Singh, A. K. (2014) · Cited by 4 · see citing works
Treguier, S., Jacq, K., Couderc, C., Ferhout, H., Tormo, H., Kleiber, D., & Levasseur‐Garcia, C. (2021) · Journal of Near Infrared Spectroscopy · doi:10.1177/09670335211006532 · Cited by 3 · see citing works
Rapid Determination of Nitrite in Drinking Water Using Ion-Exchange-Enhanced Infrared SpectroscopyPreprint
Du, X., Ye, S., & Dong, D. (2018) · Preprints.org · doi:10.20944/preprints201809.0432.v1 · Cited by 3 · see citing works
Techniques Used for Characterization of Microbial Exopolysaccharides
Velamakanni, R. P., Vuppugalla, P., & Merugu, R. (2021) · Springer series on polymer and composite materials · doi:10.1007/978-3-030-75289-7_2 · Cited by 2 · see citing works
Sahu, N., Mahanty, B., & Haldar, D. (2025) · Analytical Methods · doi:10.1039/d5ay00034c · Cited by 1 · see citing works
Exopolysaccharides of Lactic Acid Bacteria: Functions and Research Methods
Boyarineva, I. V., Zhuravleva, A., & Kovaleva, E. (2025) · Dairy Industry · doi:10.21603/1019-8946-2025-6-66 · Cited by 1 · see citing works
Treguier, S., Couderc, C., Audonnet, M., Mzali, L., Tormo, H., Daveran‐Mingot, M., Ferhout, H., Kleiber, D., & Levasseur‐Garcia, C. (2021) · Journal of Near Infrared Spectroscopy · doi:10.1177/09670335211035992 · Cited by 1 · see citing works
Characterization and prediction by NIR in lupins seeds
Domaica, X. G. (2010)
Adamski, M., Herkowiak, M., Marek, P., Dzida, K., Kapłan, M., & Klimek, K. E. (2025) · Energies · doi:10.3390/en18236360
- Authors
- Macedo, M. G., Laporte, M.-F., & Lacroix, C.
- Affiliations
- Université Laval (CA)
- Corresponding author
- Lacroix, Christophe
- ORCID
- Lacroix, Christophe
- Venue
- Journal of Agricultural and Food Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-03-01
- Volume
- 50
- Issue
- 7
- Pages
- 1774-1779
- ISSN
- 0021-8561 (ISSN-L)
- 1520-5118
- OpenAlex
- W2013821852
- Cited by
- 36
- References
- 20
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 3 · 2019: 1 · 2018: 3 · 2016: 3 · 2015: 3 · 2014: 3
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Agricultural and Food 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
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Keywords
- exopolysaccharides, lactic acid, lactose, Lactobacillus rhamnosus, whey permeate, near-infrared spectroscopy, partial least squares calibration, second derivative spectra, fermentation monitoring, batch culture
- MeSH terms
- Chromatography, High Pressure Liquid, Hydrogen-Ion Concentration, Lactobacillus, Lactose, Polysaccharides, Bacterial, Culture Media, Conditioned, Spectroscopy, Near-Infrared, Lactic Acid
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