|WANG, DEGUO - Xuchang University|
|WANG, YONGZHEN - Xuchang University|
|ZHU, KAI - Xuchang University|
|SHI, LIJIA - Xuchang University|
|ZHANG, MENG - Xuchang University|
|YU, JIANGHAN - Xuchang University|
Submitted to: Molecules
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/24/2019
Publication Date: 5/29/2019
Citation: Wang, D., Wang, Y., Zhu, K., Shi, L., Zhang, M., Yu, J., Liu, Y. 2019. Detection of cassava component in sweet potato noodles by real-time loop-mediated isothermal amplification (Real-time LAMP) method. Molecules. 24(11), 2043. https://doi.org/10.3390/molecules24112043.
Interpretive Summary: Sweet potato noodles are a traditional Chinese food with high nutritional value; however, starch adulteration is a big concern. Cassava is often used to adulterate sweet potato noodles. There is a need to detect cassava components in sweet potato noodles to protect consumers from commercial adulteration. We have developed a Loop mediated isothermal amplification (LAMP) assay to detect cassava-derived ingredient in sweet potato noodles. LAMP is a highly specific and sensitive DNA-based detection technique. Our results show that the developed LAMP assay has the potential to be used as a simple screening method for cassava adulteration in sweet potato noodles to protect consumers from food fraud.
Technical Abstract: Sweet potato (Ipomoea batatas) noodles are a traditional Chinese food with high nutritional value; however, starch adulteration is a big concern. The objective of this study was to develop a reliable method for rapid detection of cassava (Manihot esculenta) components in sweet potato noodles to protect consumers from commercial adulteration. Five specific LAMP primers targeting the internal transcribed spacer (ITS) of cassava were designed, genomic DNA was extracted, the LAMP reaction system was optimized, and the specificity of the primers was verified with genomic DNA of cassava, Ipomoea batatas, Zea mays, and Solanum tuberosum. The detection limit was determined with serial dilution of adulterated sweet potato starch with cassava starch, and the real-time LAMP method for detection of the cassava-derived ingredient in sweet potato noodles was established. The results showed that the real-time LAMP method can accurately and specifically detect the cassava component in sweet potato noodles with a detection limit of 1%. Furthermore, the LAMP assay was validated using commercial sweet potato noodle samples, and results showed that 57.7% of sweet potato noodle products (30/52) from retail markets were adulterated with cassava starch in China. This study provides a promising solution for facilitating the surveillance of the commercial adulteration of sweet potato noodles from retail markets.