Development of a portable SERS method for testing the antibiotic sensitivity of foodborne bacteria

Gukowsky, Joshua C.; He, Lili

doi:10.1016/j.mimet.2022.106496

Cited by 7 publications

(3 citation statements)

References 21 publications

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“…The whole analysis was performed on a chip with only 20 µL of bacteria solution within 5 h. In addition, portable Raman spectroscopy can also be used for the analysis of bacterial antibiotic susceptibility, which makes it possible for future use in low-resource settings. 84,85,88 Stable isotope labelling is often used in antibiotic susceptibility analysis because the metabolic responses of antibiotic-resistant and susceptible bacteria are varied. Labelling with heavy water is usually performed to indicate the general metabolic activity of active cells.…”

Section: Combination With Other Technologiesmentioning

confidence: 99%

“…SERS has been successfully applied to analyze the different responses of antibiotic resistant and sensitive bacteria during exposure to antibiotics to assess the antibiotic susceptibility of bacteria. 80 It has been applied to differentiate the antibiotic-resistant and susceptible E. coli strains, [81][82][83] S. Typhimurium, 84 B. cereus, 82,85 S. aureus, 86 and carbapenem sensitive and resistant Klebsiella strains from clinical samples. 87 In addition to the instant one-time treatment of antibiotics, the antibiotic susceptibility testing was conducted over a long period such as three months, or 21 days in some studies, to investigate the dynamic molecular changes in the drug-resistant strains.…”

Section: Different Bacterial Responses During Antibiotics Exposurementioning

confidence: 99%

“…The method greatly simplified the sample preparation procedure and shortened the assay time. The whole analysis was performed on a chip with only 20 µL of bacteria solution within 5 h. In addition, portable Raman spectroscopy can also be used for the analysis of bacterial antibiotic susceptibility, which makes it possible for future use in low‐resource settings 84,85,88 …”

Section: Analysis Of Bacteria Antibiotic Resistance and Susceptibilitymentioning

confidence: 99%

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Recent advances of Raman spectroscopy for the analysis of bacteria

Rodriguez

Zhang

Wang

2023

Analytical Science Advances

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Rapid and sensitive bacteria detection and identification are becoming increasingly important for a wide range of areas including the control of food safety, the prevention of infectious diseases, and environmental monitoring. Raman spectroscopy is an emerging technology which provides comprehensive information for the analysis of bacteria in a short time and with high sensitivity. Raman spectroscopy offers many advantages including relatively simple operation, non‐destructive analysis, and information on molecular differences between bacteria species and strains. A variety of biochemical properties can be measured in a single spectrum. This short review covers the recent advancements and applications of Raman spectroscopy for bacteria analysis with specific focuses on bacteria detection, bacteria identification and discrimination, as well as bacteria antibiotic susceptibility testing in 2022. The development of novel substrates, the combination with other techniques, and the utilization of advanced data processing tools for the improvement of Raman spectroscopy and future directions are discussed.

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Section: Combination With Other Technologiesmentioning

confidence: 99%

Section: Different Bacterial Responses During Antibiotics Exposurementioning

confidence: 99%

Section: Analysis Of Bacteria Antibiotic Resistance and Susceptibilitymentioning

confidence: 99%

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Recent advances of Raman spectroscopy for the analysis of bacteria

Rodriguez

Zhang

Wang

2023

Analytical Science Advances

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Multiplex Detection of Foodborne Pathogens using 3D Nanostructure Swab and Deep Learning‐Based Classification of Raman Spectra

Kang,

Lee,

Moon

et al. 2024

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Proactive management of foodborne illness requires routine surveillance of foodborne pathogens, which requires developing simple, rapid, and sensitive detection methods. Here, a strategy is presented that enables the detection of multiple foodborne bacteria using a 3D nanostructure swab and deep learning‐based Raman signal classification. The nanostructure swab efficiently captures foodborne pathogens, and the portable Raman instrument directly collects the Raman signals of captured bacteria. a deep learning algorithm has been demonstrated, 1D convolutional neural network with binary labeling, achieves superior performance in classifying individual bacterial species. This methodology has been extended to mixed bacterial populations, maintaining accuracy close to 100%. In addition, the gradient‐weighted class activation mapping method is used to provide an investigation of the Raman bands for foodborne pathogens. For practical application, blind tests are conducted on contaminated kitchen utensils and foods. The proposed technique is validated by the successful detection of bacterial species from the contaminated surfaces. The use of a 3D nanostructure swab, portable Raman device, and deep learning‐based classification provides a powerful tool for rapid identification (≈5 min) of foodborne bacterial species. The detection strategy shows significant potential for reliable food safety monitoring, making a meaningful contribution to public health and the food industry.

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