Application of portable near-infrared spectroscopy for rapid detection and quantification of adulterants in baobab fruit pulp

被引:2
|
作者
Yegon, Denis [1 ]
Ojijo, Nelson K. [1 ]
Tybussek, Thorsten [2 ]
Owino, Willis [1 ]
机构
[1] Jomo Kenyatta Univ Agr & Technol, Dept Food Sci & Technol, POB 62000-00200, Nairobi, Kenya
[2] Fraunhofer Inst Food Proc Engn & Packaging IVV, Freising Weihenstephan, Bavaria, Germany
关键词
Authentication; chemometrics; flours; food fraud; multivariate analysis; near-infrared spectroscopy; ADANSONIA-DIGITATA L; PARTIAL LEAST-SQUARES; FOOD FRAUD; WHEAT; IDENTIFICATION; CHALLENGES; PREDICTION;
D O I
10.1111/ijfs.16313
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Baobab fruit pulp powder (BFPP) is susceptible to economically driven adulteration owing to its incredible nutrient density and rapidly expanding demand worldwide. In this study, a portable NIR spectroscopy (wavelength 900-1700 nm) coupled with chemometrics was used for the detection of BFPP adulteration. BFPP samples separately adulterated with rice flour (RF), wheat flour (WF), and maize flour (MF) at 0%, 1%, 3%, 5%, 10%, 15%, 20%, 25%, 30%, 40%, 50% and 60% concentrations were subjected to NIR spectroscopy. Two-class models proved to be reliable with sensitivity and specificity of above 0.98 and an error of below 0.01. Four-class models attained sensitivity and specificity of above 0.68 and an error of below 0.276. The correlation coefficient (R-2) and root mean square error (RMSE) of the prediction set were above 0.88 and below 6.20% respectively for PLSR models. The LODs were also below 13.79%. Therefore, NIR spectroscopy has a promising potential for rapid screening of BFPP adulterations.
引用
收藏
页码:1465 / 1473
页数:9
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