Multivariate Curve Resolution Applied to Near Infrared Spectroscopic Data Acquired Throughout the Cooking Process to Monitor Evolving Béchamel Sauces-Reference-Cited by-同舟云学术

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Multivariate Curve Resolution Applied to Near Infrared Spectroscopic Data Acquired Throughout the Cooking Process to Monitor Evolving Béchamel Sauces

Published:2022-12-20 Issue:4 Volume:16 Page:881-896
ISSN:1935-5130
Container-title:Food and Bioprocess Technology
language:en
Short-container-title:Food Bioprocess Technol

Author:

Nieto-Ortega Sonia,Mas García Silvia,Melado-Herreros Ángela,Foti Giuseppe,Olabarrieta Idoia,Roger Jean-Michel

Funder

Eusko Jaurlaritza

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Process Chemistry and Technology,Safety, Risk, Reliability and Quality,Food Science

Link

https://link.springer.com/content/pdf/10.1007/s11947-022-02972-4.pdf

Reference41 articles.

1. Arocas, A., Sanz, T., Hernández-Carrión, M., Hernando, M. I., & Fiszman, S. M. (2010). Effect of cooking time and ingredients on the performance of different starches in white sauces. European Food Research and Technology, 231(3), 395–405. https://doi.org/10.1007/s00217-010-1289-4

2. Babaei Rouchi, M., Khanmohammadi Khorrami, M., Garmarudi, A. B., & de la Guardia, M. (2019). Application of infrared spectroscopy as Process Analytics Technology (PAT) approach in biodiesel production process utilizing Multivariate Curve Resolution Alternative Least Square (MCR-ALS). Spectrochimica Acta Part a: Molecular and Biomolecular Spectroscopy, 213, 347–353. https://doi.org/10.1016/j.saa.2019.01.046

3. Blanco, M., & Villarroya, I. (2002). NIR spectroscopy: A rapid-response analytical tool. TrAC Trends in Analytical Chemistry, 21(4), 240–250. https://doi.org/10.1016/S0165-9936(02)00404-1

4. Cavaglia, J., Garcia, S. M., Roger, J. -M., Mestres, M., & Boqué, R. (2022). Detection of bacterial spoilage during wine alcoholic fermentation using ATR-MIR and MCR-ALS. Food Control, 142, 109269. https://doi.org/10.1016/j.foodcont.2022.109269

5. de Juan, A., Jaumot, J., & Tauler, R. (2014). Multivariate curve resolution (MCR). Solving the mixture analysis problem. Analytical Methods, 6(14), 4964–4976. https://doi.org/10.1039/c4ay00571f

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