期刊
FOOD CHEMISTRY
卷 181, 期 -, 页码 152-159出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2015.02.084
关键词
Cocoa; NIR spectroscopy; Quantification; Quality control; PLS prediction
The qualitative heterogeneity and increasing consumption of cocoa products require fast and efficient methods for quality assessment of fermented cocoa with regard to fermentation quality and flavor potential. To date, quality control is achieved by visual inspection (e.g., cut test) and sensory testing. Chromatographic methods for quantification of flavor relevant substances are limited in their applicability in standard quality control due to laborious isolation and purification steps. Therefore, the aim of this study was the development of a near infrared spectroscopic (NIRS) method for routine analytical prediction of biochemical quality parameters. Different compound classes like phenolic substances (R-2 = 0.93) or organic acids (R-2 = 0.88) as well as individual substances like epicatechin (R-2 = 0.93) or lactic acid (R-2 = 0.87) could be precisely determined just as fermentation time (R-2 = 0.92) and pH value (R-2 = 0.94) presenting NIRS as fast and reliable alternative in routine quality assessment. (C) 2015 Elsevier Ltd. All rights reserved.
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