On-Line Monitoring of Enzymatic Degumming of Soybean Oil Using Near-Infrared Spectroscopy.


Journal

Applied spectroscopy
ISSN: 1943-3530
Titre abrégé: Appl Spectrosc
Pays: United States
ID NLM: 0372406

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 28 11 2023
pubmed: 6 10 2023
entrez: 6 10 2023
Statut: ppublish

Résumé

Degumming is an oil refinement process in which the naturally occurring phospholipids in crude vegetable oils are removed. Enzymatic degumming results in higher oil yield and more cost-efficient processing compared to traditional degumming processes using only water or acid. Phospholipase C hydrolyses phospholipids into diglycerides and phosphate groups during degumming. The diglyceride content can therefore be considered a good indicator of the state of the enzymatic reaction. This study investigates the use of near-infrared (NIR) spectroscopy and chemometrics to monitor the degumming process by quantifying diglycerides in soybean oil in both off-line and on-line settings. Fifteen enzymatic degumming lab scale batches originating from a definitive screening design (with varying water, acid, and enzyme dosages) were investigated with the aim to develop a NIR spectroscopy prediction method. By applying tailored preprocessing and variable selection methods, the diglyceride content can be predicted with a root mean square error of prediction of 0.06% (w/w) for the off-line set-up and 0.07% (w/w) for the on-line set-up. The results show that the diglyceride content is a good indicator of the enzyme performance and that NIR spectroscopy is a suitable analytical technique for robust real-time diglyceride quantification.

Identifiants

pubmed: 37801483
doi: 10.1177/00037028231203015
doi:

Substances chimiques

Soybean Oil 8001-22-7
Diglycerides 0
Plant Oils 0
Phospholipids 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1333-1343

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Margherita Tonolini (M)

Department of Food Science, Faculty of Life Sciences, University of Copenhagen, Frederiksberg C, Denmark.

Joanna Wawrzynczyk (J)

Oils & Fats Application Research, Novozymes AS, Lyngby, Hovedstaden, Denmark.

Per Munk Nielsen (PM)

Oils & Fats Application Research, Novozymes AS, Lyngby, Hovedstaden, Denmark.

Søren Balling Engelsen (SB)

Department of Food Science, Faculty of Life Sciences, University of Copenhagen, Frederiksberg C, Denmark.

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Classifications MeSH