Optimization for Rapid Detection of Staphylococcus aureus using Real-time LAMP

Document Type : Original Article

Authors

1 Faculty of Chemistry and Chemical Engineering, Malek Ashtar University of Technology, Iran

2 Institute of Police Equipment and Technologies, Policing Sciences and Social Studies Research Institute, Tehran, Iran

Abstract

Introduction: Bacterial food poisoning is considered a global concern in terms of economical and human health. Staphylococcus aureus produces low molecular weight extracellular toxins. These enterotoxins (SEs) are similar in structure and bioactivity. Today, there are several methods to detect SE genes. Nevertheless, culture-based and immunological methods are simple and cheaper than molecular techniques, they are time-consuming, with low sensitivity and specificity. In this field, loop-mediated isothermal amplification (LAMP) is a fast and simple method for gene amplification. The aim of this work was to optimize the LAMP reaction using the Taguchi method.
Materials and Methods: For this, in order to improve and accelerate the LAMP diagnostic process, essential factors for the identification of enterotoxin, including MgSO4 concentration, time, and temperature reaction were optimized separately and using Taguchi experimental design.
Results: The results showed that 57 µg/ml of S. aureus genome as template is suitable for the replication, and in optimization of LAMP assay in separate condition the best replication rate was observed at 6 mM MgSO4, 45 min, and 65 °C. Whereas using Taguchi methods, the optimum condition was at 8 mM MgSO4, 60 min and 65 °C.
Conclusions: The one-step-visual developed LAMP assay with the optimum conditions could be of interest for screening functions in food analytical laboratories, and a portable detection method could be used to design a suitable identification kit for S. aureus without the need for special equipment or trained personnel. 

Keywords

Journal of Applied Biotechnology Reports
Volume 10, Issue 2
June 2023
Pages 984-991

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History

  • Receive Date: 03 November 2022
  • Revise Date: 08 January 2023
  • Accept Date: 21 January 2023

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