Recent Advances in Optical Sensing for the Detection of Microbial Contaminants

Author:

Idil Neslihan1,Aslıyüce Sevgi2,Perçin Işık3,Mattiasson Bo45

Affiliation:

1. Department of Biology, Biotechnology Division, Hacettepe University, Ankara 06800, Turkey

2. Department of Chemistry, Biochemistry Division, Hacettepe University, Ankara 06800, Turkey

3. Department of Biology, Molecular Biology Division, Hacettepe University, Ankara 06800, Turkey

4. Department of Biotechnology, Lund University, 22100 Lund, Sweden

5. Indienz AB, Annebergs Gård, 26873 Billeberga, Sweden

Abstract

Microbial contaminants are responsible for several infectious diseases, and they have been introduced as important potential food- and water-borne risk factors. They become a global burden due to their health and safety threats. In addition, their tendency to undergo mutations that result in antimicrobial resistance makes them difficult to treat. In this respect, rapid and reliable detection of microbial contaminants carries great significance, and this research area is explored as a rich subject within a dynamic state. Optical sensing serving as analytical devices enables simple usage, low-cost, rapid, and sensitive detection with the advantage of their miniaturization. From the point of view of microbial contaminants, on-site detection plays a crucial role, and portable, easy-applicable, and effective point-of-care (POC) devices offer high specificity and sensitivity. They serve as advanced on-site detection tools and are pioneers in next-generation sensing platforms. In this review, recent trends and advances in optical sensing to detect microbial contaminants were mainly discussed. The most innovative and popular optical sensing approaches were highlighted, and different optical sensing methodologies were explained by emphasizing their advantages and limitations. Consequently, the challenges and future perspectives were considered.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

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