Identification and quantification of cassava starch adulteration in different food starches by droplet digital PCR

• Published in: PloS one Vol. 15; no. 2; p. e0228624
• Main Authors: Chen, Jia, Zhang, Yalun, Chen, Chen, Zhang, Yan, Zhou, Wei, Sang, Yaxin
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 26.02.2020; Public Library of Science (PLoS)
• Subjects: Backup software; Biology and Life Sciences; Cassava; Coefficient of variation; Copy number; Correlation coefficient; Correlation coefficients; Deoxyribonucleic acid; Design; DNA; DNA, Plant - analysis; DNA, Plant - genetics; Droplets; Ethanol; Food Analysis - methods; Food Analysis - standards; Food Contamination; Food safety; Food science; Gene expression; Laboratories; Manihot - chemistry; Manihot - genetics; Methods; Physical Sciences; Polymerase chain reaction; Polymerase Chain Reaction - methods; Polymerase Chain Reaction - standards; Potatoes; Research and analysis methods; Starch; Starch - chemistry; Starch - standards; Starches; Technology; Television broadcasting industry; United Kingdom; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0228624

We report a rapid and accurate quantitative detection method using droplet digital PCR (ddPCR) technology to identify cassava adulteration in starch products. The ddPCR analysis showed that the weight of cassava (M) and cassava-extracted DNA content had a significant linear relationship-the correlation coefficient was R2 = 0.995, and the maximum coefficient of variation of replicates was 7.48%. The DNA content and DNA copy number (C) measured by ddPCR also had a linear relationship with R2 = 0.992; the maximum coefficient of variation of replicates was 8.85%. The range of cassava ddPCR DNA content was 25 ng/μL, and the formula M = (C + 32.409)/350.579 was obtained by converting DNA content into the median signal. The accuracy and application potential of the method were verified using the constructed adulteration model.