Multivariate model for the prediction of total phenolic acids in crude extracts of polyphenols from canola and rapessed meals: A preliminary study

Autor:	Marian Naczk, David A. Pink, R. Zadernowski, J. Pink
Rok vydání:	2002
Předmět:	Meal food.ingredient Rapeseed Chemistry General Chemical Engineering Organic Chemistry food and beverages Phenolic acid chemistry.chemical_compound food Biochemistry Polyphenol Partial least squares regression Acetone Food science Methanol Canola
Zdroj:	Journal of the American Oil Chemists' Society. 79:759-762
ISSN:	0003-021X
DOI:	10.1007/s11746-002-0555-x
Popis:	The feasibility of using UV spectrophotometry to develop multivariate models for prediction of total phenolic acids content in crude polyphenol extracts from defatted canola and rapeseed meals was investigated. The polyphenols were extracted from the meals with methanol/acetone/water (7∶7∶6, by vol). Partial least squares regression was used to correlate the spectral data of the crude polyphenols in methanol between 320 and 355 nm with the total phenolic acid content in canola and rapeseed meals. The Folin-Denis assay was used to provide reference data for creating the model. The predictive ability of the model is good, as indicated by the RPD value (the ratio of the SD of data to the standard error of calibration) of 3.84.
Databáze:	OpenAIRE
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