4.7 Review

Toxicology, extraction and analytical methods for determination of Amaranth in food and beverage products

Journal

TRENDS IN FOOD SCIENCE & TECHNOLOGY
Volume 65, Issue -, Pages 68-79

Publisher

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tifs.2017.05.008

Keywords

Amaranth; Synthetic dyes; Analytical methods; Chromatography; Extraction; Toxicology

Funding

  1. Ministry of Education Malaysia, Fundamental Research Grant Scheme (FRGS) [FRGS/1/2014/SG05/UMS/02/4]

Ask authors/readers for more resources

Amaranth (E 123) is synthetic dyes which commonly used in the industry and scientifically applied as textiles and paper productions as well as for cosmetic and pharmaceutical production. However, higher consumption of Amaranth may lead to hyperactivity and other disturbed behaviour especially in children. World Health Organization (WHO) with Food and Agriculture Organization (FAO) has the acceptable daily intake (ADI) of Amaranth between 0 and 0.5 mg kg(-1). Several extraction and analytical methods have available for quantifying and identifying the existence level of Amaranth in food products. Herein, we critically discussed those existing analytical methods applied such as high performance liquid chromatography (HPLC), thin layer chromatography (TLC), liquid chromatography/tandem mass spectrometry (LC-MS/MS), spectrophotometric, electrochemical sensor and capillary zone electrophoresis (CZE). Additionally, a brief description on the uses of different extraction methods such as solid phase extraction (SPE), liquid-liquid extraction (LLE) and membrane filtration have presented. In this review incorporated valuable information's that intended as a guideline or idea in choosing an appropriate method for detection of Amaranth in foodstuffs. (C) 2017 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available