可可碱
可可豆
咖啡因
食品科学
化学
近红外光谱
吸光度
味道
数学
生物
色谱法
发酵
神经科学
内分泌学
作者
Clímaco Álvarez,Elevina Pérez,Emile Cros,Mary Lares,Sophie Assemat,Renaud Boulanger,Fabrice Davrieux
摘要
Cocoa is an important raw material in international trade, for which the highest quality is demanded. Venezuelan Criollo cocoa beans from the south of Lake Maracaibo or Chuao are of very high quality and are considered to be Venezuela's finest beans. It is therefore important to characterise and define that quality, or its precursors, in the different primary cocoa processing stages. Given the large number of samples to be analysed, new analytical techniques providing fast and reliable quality data are essential. Near infrared (NIR) spectroscopy utilises wavelengths from 780–2500 nm to measure the absorbance by a sample, compute organic functional groups and quantitatively predict a particular factor. It has been extensively used to analyse food quality and to determine the main alkaloids of coffee. Fat, caffeine, theobromine and (−)-epicatechin contents are related to cocoa bean “flavour” quality. These parameters are usually determined using conventional methods, which are time consuming, destructive and expensive. The goals of this study were to use NIR spectroscopy to develop a fast and non-destructive tool to determine compounds in unfermented and sun-dried cocoa beans of high quality. Calibration coefficients of determination ( R 2 ) and standard errors of cross-validation were 0.94 and 0.89%, 0.94 and 0.05%, 0.88 and 0.08% and 0.96 and 0.18% for fat, caffeine, theobromine and (−)-epicatechin contents (% dry matter), respectively. The results confirmed the good predictability of the models and showed that NIR spectroscopy can be used as a rapid method for determining these compounds in cocoa beans.
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