Research Article Open Access

Establishment and Application of Rapid Quantitative Detection Technology for Bacillus cereus

Feilong Sun1, Hanyu Li1, Jingxue Qian1, Rumeng Luo1 and Mingyue Zhang1
  • 1 School of Environmental and Chemical Engineering, Xi’an Polytechnic University, Xi’an, Shaanxi, China

Abstract

Infections caused by Bacillus cereus often occur, causing a certain degree of health hazards and economic losses to people around the world. Rapid quantitative detection is of great significance for prevention. This study aims to develop a simple and rapid quantitative detection method for B. cereus, which can be used to monitor the contamination of B. cereus in food samples. A fluorescence real-time quantitative PCR assay was employed to solve this problem. According to the conservative sequence of the gyrB gene in B. cereus, primers were designed online using primer-blast of the NCBI website. The recombinant plasmid standard was constructed by genetic engineering technology. Reaction parameters of real-time PCR were also optimized in this study. After the establishment of this method, 16 rice samples collected from a canteen were tested, one of which was positive and the content of B. cereus was 7.13 × 102 copies/g. The analysis of the melting curve indicated that the system was specific and sensitive, therefore which made it an effective approach for the rapid quantitative detection of B. cereus in food samples. This result is of particular significance for application of predicting the levels of B. cereus in food and other samples.

American Journal of Biochemistry and Biotechnology
Volume 19 No. 1, 2023, 84-90

DOI: https://doi.org/10.3844/ajbbsp.2023.84.90

Submitted On: 13 October 2022 Published On: 21 March 2023

How to Cite: Sun, F., Li, H., Qian, J., Luo, R. & Zhang, M. (2023). Establishment and Application of Rapid Quantitative Detection Technology for Bacillus cereus. American Journal of Biochemistry and Biotechnology, 19(1), 84-90. https://doi.org/10.3844/ajbbsp.2023.84.90

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Keywords

  • Bacillus cereus; Detection and Quantification
  • Real-Time PCR; Melting Curve Analysis