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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

  • Xiao-Dong Sun
  • Hai-Long Wu
  • Zhi Liu
  • Yue Chen
  • Qian Liu
  • Yu-Jie Ding
  • Ru-Qin Yu
Article
  • 42 Downloads

Abstract

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 165.1 ng mL−1, while limits of quantitation ranged from 4.20 to 500.2 ng mL−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.

Keywords

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

Abbreviations

AK

Acesulfame potassium

SAC

Saccharin

GA

Glycyrrhizic acid

BA

Benzoic acid

SA

Sorbic acid

E102

Tartrazine

E123

Amaranth

E120

Carmine

E110

Sunset yellow

E133

Brilliant blue

CAF

Caffeine

CFDA

China Food and Drug Administration

ATLD

Alternating trilinear decomposition

SEL

Selectivity

SEN

Sensitivity

LOD

Limit of detection

LOQ

Limit of quantitation

Notes

Funding

This work was supported by the National Nature Science Foundation of China (Grant No. 21575039 and No. 21775039) and the Foundation for Innovative Research Groups of NSFC (Grant No. 21521063).

Compliance with Ethical Standards

Conflicts of Interest

Xiaodong Sun declares that he has no conflict of interest. Hailong Wu declares that he has no conflict of interest. Zhi Liu declares that he has no conflict of interest. Yue Chen declares that she has no conflict of interest. Qian Liu declares that she has no conflict of interest. Yujie Ding declares that she has no conflict of interest. Ruqin Yu declares that he has no conflict of interest.

Ethical Approval

This article does not contain any studies with animals performed by any of the authors.

Informed Consent

Not applicable.

Supplementary material

12161_2018_1370_MOESM1_ESM.docx (353 kb)
ESM 1 (DOCX 351 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical EngineeringHunan UniversityChangshaChina
  2. 2.Institute of Quality and Standards for Agricultural ProductsZhejiang Academy of Agricultural SciencesHangzhouChina

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