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Fast and neat – Determination of biochemical quality parameters in cocoa using near infrared spectroscopy

GND
1058920979
Zugehörigkeit
Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Ecological Chemistry, Plant Analysis and Stored Product Protection, Berlin, Germany
Krähmer, Andrea;
GND
1186941960
Zugehörigkeit
Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Ecological Chemistry, Plant Analysis and Stored Product Protection, Berlin, Germany ; Institute of Food Technology and Food Chemistry, Berlin University of Technology, Gustav-Meyer-Allee 25, 13355 Berlin, Germany
Engel, Annika;
Zugehörigkeit
University of Hamburg, Biocenter Klein Flottbek and Botanical Garden, Crop Science and Applied Ecology, Ohnhorststr. 18, 22609 Hamburg, Germany
Kadow, Daniel;
Zugehörigkeit
Cocoa Research Centre, The University of the West Indies, St. Augustine, Trinidad and Tobago
Ali, Naailah;
Zugehörigkeit
Cocoa Research Centre, The University of the West Indies, St. Augustine, Trinidad and Tobago
Umaharan, Pathmanathan;
Zugehörigkeit
Institute of Food Technology and Food Chemistry, Berlin University of Technology, Gustav-Meyer-Allee 25, 13355 Berlin, Germany
Kroh, Lothar W.;
GND
140592741
Zugehörigkeit
Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Ecological Chemistry, Plant Analysis and Stored Product Protection, Berlin, Germany
Schulz, Hartwig

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 (R2 = 0.93) or organic acids (R2 = 0.88) as well as individual substances like epicatechin (R2 = 0.93) or lactic acid (R2 = 0.87) could be precisely determined just as fermentation time (R2 = 0.92) and pH value (R2 = 0.94) presenting NIRS as fast and reliable alternative in routine quality assessment.

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