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The growing demand for reliable and robust methodology in bio-chemical sensing calls for the continuous advancement of sensor technologies. Over the last two decades, surface-enhanced Raman spectroscopy (SERS) has emerged as one of the most promising analytical techniques for sensitive and trace analysis or detection in biomedical and agri-food applications. SERS overcomes the inherent sensitivity limitation associated with Raman spectroscopy, which provides vibrational "fingerprint" spectra of molecules that makes it unique and versatile among other spectroscopy techniques. This paper comprehensively reviews the recent advancements of SERS for biomedical, food and agricultural applications over the last 6 years, and we envision that, in the near future, some of these platforms have the potential to be translated as a point-of-care and rapid sensor for real-life end-user applications. The merits and limitations of various SERS sensor designs are analysed and discussed based on critical features such as sensitivity, specificity, usability, repeatability and reproducibility. We conclude by highlighting the opportunities and challenges in the field while stressing the technological gaps to be addressed in realizing commercially viable point-of-care SERS sensors for practical biomedical and agri-food technological applications.
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http://dx.doi.org/10.1039/d0nr06832b | DOI Listing |
Proteomics
September 2025
Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, Life Sciences Institute, University of British Columbia, Vancouver, British Columbia, Canada.
Honey bees (Apis mellifera) are vital pollinators in fruit-producing agroecosystems like highbush blueberry (HBB) and cranberry (CRA). However, their health is threatened by multiple interacting stressors, including pesticides, pathogens, and nutritional changes. We tested the hypothesis that distinct agricultural ecosystems-with different combinations of agrochemical exposure, pathogen loads, and floral resources-elicit ecosystem-specific, tissue-level molecular responses in honey bees.
View Article and Find Full Text PDFGigascience
January 2025
National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, Manitoba R3E 3M4, Canada.
Background: Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to overcome species barriers and cause pandemics. Rapid and accurate IAV subtypes and host source prediction is crucial for effective surveillance and pandemic preparedness. Deep learning has emerged as a powerful tool for analyzing viral genomic sequences, offering new ways to uncover hidden patterns associated with viral characteristics and host adaptation.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Microbiology section, Department of Botany, The University of Burdwan, Golapbag, Purba Bardhaman 713104, West Bengal, India. Electronic address:
Rapid increase in multidrug-resistant (MDR) bacteria and mosquito-borne deadly diseases constitutes a significant global health issue, necessitating the development of novel therapeutics. This study focused on an effective approach performed to biosynthesis of silver nanoparticle (AgNPs) by using extracellular polysaccharide (EPS) first extracted from Psychrobacter okhotskensis PCRB17b. The EPS showed thermostable, low molecular weight, crystalline, and heteropolysaccharide which predominantly contain mannose (79.
View Article and Find Full Text PDFAdv Sci (Weinh)
August 2025
College of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Agri-Food Resources and High-value Utilization, Zhejiang University, Hangzhou, 310058, China.
Polyphenols hold significant promise in pharmaceutical, biotechnology, and food-related applications owing to their potent free radical scavenging, antimicrobial, antitumor, and other properties. The unique chemical architecture, featuring multiple phenolic hydroxyl groups and aromatic ring systems-confers a high capacity for both non-covalent (e.g.
View Article and Find Full Text PDFNat Food
August 2025
Nutrition and Behaviour Unit, School of Psychological Science, University of Bristol, Bristol, UK.
A weekly canteen menu comprising 15 dishes (3 dishes × 5 days) has 1.4 million unique configurations. Here food choice was monitored over four weeks ( ~ 5,000 meals) in a UK university residence.
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