Study of Galactooligosaccharides production from dairy waste by FTIR and chemometrics as Process Analytical Technology

被引:13
作者
Rico-Rodriguez, Fabian [1 ]
Strani, Lorenzo [2 ]
Grassi, Silvia [2 ]
Lancheros, Ruth [3 ]
Carlos Serrato, Juan [3 ]
Casiraghi, Ernestina [2 ]
机构
[1] Univ Cartagena Cartagena Indias DT&C, Fac Engn, Program Food Engn, Cartagena, Colombia
[2] Univ Milan, Dept Food Environm & Nutr Sci DeFENS, Via Celoria 2, I-20133 Milan, Italy
[3] Univ Nacl Colombia, Fac Engn, Dept Chem & Environm, Bogota, DC, Colombia
关键词
Prebiotic synthesis; Cheese by-products; Infrared spectroscopy; Process Analytical Technology; Chemometrics; Multivariate Curve Resolution; Partial Least Square regression; BETA-GALACTOSIDASE; KLUYVEROMYCES-LACTIS; LACTOSE; OLIGOSACCHARIDES; SPECTROSCOPY; KINETICS; BATCH; MILK; GOS;
D O I
10.1016/j.fbp.2020.12.009
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Galactooligosaccharides (GOS) production from whey, a relevant by-product of dairy industry, answers to the Circular Economy principle of extending the life cycle of products. Indeed, it allows the reuse of dairy waste to produce prebiotics to be used in functional food preparations. For this purpose, the effective monitoring of GOS production should be performed in real time and by environmentally friendly techniques. Thus, FTIR spectroscopy, combined with different chemometric approaches, has been tested to assess a Process Analytical Technology to follow GOS production from cheese whey. Partial Least Square regression models were reliable for lactose, glucose and galactose determination (Root Mean Square Error of Prediction of 21.9, 11.1 and 12.4 mg mL(-1), respectively). Furthermore, Multivariate Curve Resolution-Alternating Least Square models were proposed to describe trends of the reaction components along the process being an interesting alternative to chromatographic determinations. The real time implementation of the proposed approach will provide the dairy industry with a reliable and green Process Analytical Technology for dairy waste reallocation, avoiding sample pre-processing, large use of organic solvents and long times of analysis. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:113 / 120
页数:8
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