Optical Sensing Methods for Microorganism Identification
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 6952
Special Issue Editor
Interests: laser ablation/processing; optical spectroscopy; bacteria identification; FTIR/Raman; surface characterization
Special Issue Information
Dear Colleagues,
Microorganisms include bacteria, fungi, and viruses. Pathogenic microorganisms are causative agents of various infectious diseases that are beginning to pose an increasingly serious threat worldwide. Pathogenic microorganisms can also undergo mutations and develop resistance to antimicrobial agents, which complicates diagnostic and therapeutic regimens. Pathogenic bacteria detection using biosensors remains a rich subject to be explored by researchers, and many tools have been reported using different transducers. Optical biosensors allow for rapid, accurate, portable and cost-effective diagnosis for the identification of microorganisms. Among these biosensors, the development of an innovative technology combining lasers and spectroscopy to improve the sensitivity and rapidness of microbial identification results is of current interest to researchers. The use of lasers for ablating biological materials will serve to transfer materials without ionization from the test substrate to a carrier substrate, and will help in the investigation of the effects of laser-induced decomposition on the potential efficiency of fingerprinting. Applying the proposed technique to laboratory strains of bacteria will pave the way toward investigating complex environments for pathogenic microorganisms.
This Special Issue encourages authors to submit their research and contributions on the use and application of optical biosensors and sensors for the detection of analytes in microorganisms.
Dr. Khalid Moumanis
Guest Editor
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Keywords
- laser ablation/processing
- optical spectroscopy
- bacteria identification
- FTIR/Raman
- surface characterization
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