Xie Jing-Ya, Tan Jin
Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, 300134 People's Republic of China.
J Verbrauch Lebensm. 2022;17(3):209-219. doi: 10.1007/s00003-022-01396-8. Epub 2022 Aug 17.
This article describes a novel front-face synchronous fluorescence spectroscopy (FFSFS) method for the fast and non-invasive authentication of ground roasted Arabica coffee adulterated with roasted maize and soybean flours. The detection was based on the different composition of fluorescent Maillard reaction products and caffeine in roasted coffee and cereal flours. For each roasted maize or soybean adulterant flour (5-40 wt%), principal component analysis coupled with linear discriminant analysis (PCA-LDA) was used for qualitative discrimination. Quantitative prediction models were constructed based on the combination of unfolded total synchronous fluorescence spectra and partial least square regression (PLSR), followed by fivefold cross-validation and external validation. The PLSR models produced suitable results, with the determination coefficient of prediction ( ) > 0.9, root mean square error of prediction (RMSEP) < 5%, relative error of prediction (REP) < 25% and residual predictive deviation (RPD) > 3. The limits of detection (LOD) were both 10% for roasted maize and soybean flours. Most relative errors for the prediction of simulated blind samples were between -30% and + 30%. The benefits of this strategy are simplicity, rapidity, and non-destructive detection. However, owing to the high similarity between roasted coffee and roasted cereal flours and the influence of the roasting degree on fluorescent Maillard reaction products, its application is limited to the preliminary screening of roasted coffee with the same roasting degree, adulterated with relatively large amounts of roasted cereal flours which are roasted to analogous color to the coffee.
The online version contains supplementary material available at 10.1007/s00003-022-01396-8.
本文描述了一种新颖的前表面同步荧光光谱法(FFSFS),用于快速、非侵入性地鉴别掺有烘焙玉米粉和大豆粉的烘焙阿拉比卡咖啡。检测基于烘焙咖啡和谷物粉中荧光美拉德反应产物和咖啡因的不同组成。对于每种烘焙玉米或大豆掺假粉(5 - 40重量%),采用主成分分析结合线性判别分析(PCA - LDA)进行定性鉴别。基于展开的全同步荧光光谱与偏最小二乘回归(PLSR)相结合构建定量预测模型,随后进行五重交叉验证和外部验证。PLSR模型产生了合适的结果,预测决定系数( )> 0.9,预测均方根误差(RMSEP)< 5%,预测相对误差(REP)< 25%,剩余预测偏差(RPD)> 3。烘焙玉米粉和大豆粉的检测限均为10%。模拟盲样预测的大多数相对误差在 - 30%至 + 30%之间。该策略的优点是简单、快速且无损检测。然而,由于烘焙咖啡和烘焙谷物粉之间的高度相似性以及烘焙程度对荧光美拉德反应产物的影响,其应用仅限于对相同烘焙程度、掺有相对大量烘焙谷物粉且烘焙颜色与咖啡相似的烘焙咖啡进行初步筛选。
在线版本包含可在10.1007/s00003 - 022 - 01396 - 8获取的补充材料。