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Rapid and Sensitive Detection of Multi-Class Food Additives in Beverages for Quality Control by Using HPLC-DAD and Chemometrics Methods

文献类型： 外文期刊

作者： Sun, Xiao-Dong 1 ; Wu, Hai-Long 1 ; Liu, Zhi 2 ; Chen, Yue 1 ; Liu, Qian 1 ; Ding, Yu-Jie 1 ; Yu, Ru-Qin 1 ;

作者机构： 1.Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Hunan, Peoples R China

2.Zhejiang Acad Agr Sci, Inst Qual & Stand Agr Prod, Hangzhou 310021, Zhejiang, Peoples R China

关键词： Alternating trilinear decomposition; Beverages; Food additives; High-performance liquid chromatography-diode array detection; Second-order calibration

期刊名称：FOOD ANALYTICAL METHODS （ 影响因子：3.366； 五年影响因子：3.07 ）

ISSN： 1936-9751

年卷期： 2019 年 12 卷 2 期

页码：

收录情况： SCI

摘要： A rapid and sensitive analytical strategy combining high-performance liquid chromatography-diode array detection (HPLC-DAD) and chemometrics methods was developed for the determination of multi-class food additives in a variety of beverage samples. Different kinds of beverages, which contain diverse unknown interferences, can be directly injected into a chromatographic system after a simple dilution or pretreatment step, and the data were recorded in a short time under a simple gradient elution mode. Although peaks overlapped and changeable interferences existed in the dimension of the chromatographic and spectral in real beverages, all food additives were accurately resolved by using a second-order calibration method based on alternating trilinear decomposition (ATLD) algorithm, and accurate chromatographic profiles, spectral profiles, and concentration profiles were also obtained. Limits of detection for all additives were between 1.40 and 165.1ngmL(-1), while limits of quantitation ranged from 4.20 to 500.2ngmL(-1). The spiked recoveries were in the range of 87.3-103% (except amaranth) with RSDs less than 10.2%. Compared with the results obtained by classic HPLC method, our proposed method was more accurate. In all, the proposed method is fast, sensitive, and universal and could be used as a reliable tool to determine food additives and quality monitoring in different complex beverages.

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