Rapid detection of the inclusion of cassava starch in food and medicine products using Proofman-ladder shape melting temperature isothermal amplification method
Pengfei Cui , Zhenqing Hu , Jiayi Zhou , Qingyuan Zhou , Yaqi Zhao , Wei Yao , Shanlu Guo , Fugang Xiao , Bailing Yin , Deguo Wang
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引用次数: 0
Abstract
Cassava starches are mostly added in high-value food and medicine starches including sweet potato, lotus rhizome, and common yam rhizome to gain economic profits. To rapidly detect cassava starch adulteration in various food and medicine samples, this research establishes an analysis method relied on proofreading enzyme-mediated probe cleavage (Proofman) coupled with ladder-shape melting temperature isothermal amplification (LMTIA). The optimal detection temperature of this Proofman-LMTIA method was 62℃ and the reaction could be finished within 20 min with a detection sensitivity of 100 pg/μL genomic cassava DNAs. Nine different species were collected and verified for the specificity of cassava ITS primers and probes. The detection limit of cassava DNAs derived from artificially premixed starch powders was 1 % (w/w). To demonstrate the effectiveness of the Proofman-LMTIA assay, 33 commercial products from food and medicine sectors were gathered and examined for the authentication of cassava contents, among these, 16 samples contained cassava components. Overall, the method developed here is suitable for accurate and quick detection of cassava items in food and medicine samples. The popularization of this Proofman-LMTIA technique will boost the starch quality management, offer instructions to authenticate cassava components, and facilitate the supervision of the food and medicine market.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.