Publication: Paper-based sensor from pyrrolidinyl peptide nucleic acid for the efficient detection of Bacillus cereus
Issued Date
2021-11-01
Resource Type
ISSN
16182650
16182642
16182642
Other identifier(s)
2-s2.0-85114094922
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Mahidol University
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SCOPUS
Bibliographic Citation
Analytical and Bioanalytical Chemistry. Vol.413, No.26 (2021), 6661-6669
Suggested Citation
Nuttapon Jirakittiwut, Tanutcha Patipong, Tawinan Cheiwchanchamnangij, Rungaroon Waditee-Sirisattha, Tirayut Vilaivan, Thanit Praneenararat Paper-based sensor from pyrrolidinyl peptide nucleic acid for the efficient detection of Bacillus cereus. Analytical and Bioanalytical Chemistry. Vol.413, No.26 (2021), 6661-6669. doi:10.1007/s00216-021-03633-9 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/75988
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Title
Paper-based sensor from pyrrolidinyl peptide nucleic acid for the efficient detection of Bacillus cereus
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Abstract
Bacillus cereus is one of the most common foodborne pathogens found in various kinds of staple foods such as rice and wheat. A rapid and accurate detection method for this pathogen is highly desirable for the sustainable production of relevant food products. While several classical and molecular-based detection methods are available for the identification of B. cereus, they suffered one or more limitations such as the requirement for a tedious and time-consuming process, less than ideal specificity, and the lack of portability. Herein, we developed the first paper-based sensing device that exhibits high species specificity with sufficiently low limit of detection for the visual detection of specific DNA sequences of B. cereus. The success is attributed to the strategic planning of fabrication in various dimensions including thorough bioinformatics search for highly specific genes, the use of the pyrrolidinyl peptide nucleic acid (PNA) probe whose selectivity advantage is well documented, and an effective PNA immobilization and DNA-binding visualization method with an internal cross-checking system for validating the results. Testing in rice matrices indicates that the sensor is capable of detecting and distinguishing B. cereus from other bacterial species. Hence, this paper-based sensor has potential to be adopted as a practical means to detect B. cereus in food industries. Graphical abstract: [Figure not available: see fulltext.]