AIMC Topic: Biosensing Techniques

Clear Filters Showing 81 to 90 of 517 articles

Machine learning-assisted triple-emission Ln-MOFs sensor array for detection of multiple PFCs in aqueous environments.

Biosensors & bioelectronics
Perfluorinated compounds (PFCs) are persistent environmental pollutants with potential carcinogenicity, posing a major threat to ecosystems and human health. Rapid identification of PFCs in complex environmental matrices remains challenging due to th...

An artificial intelligence-assisted, kilometer-scale wireless and wearable biochemical sensing platform for monitoring of key biomarkers in urine.

Biosensors & bioelectronics
Wearable biochemical sensors enabling non-invasive monitoring of biomarkers in bodily fluids play a pivotal role in advancing personalized healthcare. The state-of-the-art wireless and wearable biochemical sensors still suffer from large form factors...

SERS-based miniaturized biosensors for alkaline phosphatase detection: Towards intelligent, real-time diagnostics in precision medicine.

Biosensors & bioelectronics
Alkaline phosphatase (ALP) is a clinically important hydrolase enzyme and a valuable biomarker for hepatobiliary diseases, metabolic bone disorders, and certain malignancies. Raman-based miniaturized sensors, particularly those employing surface-enha...

Recent progress in multifunctional theranostic hydrogels: the cornerstone of next-generation wound care technologies.

Biomaterials science
Theranostic hydrogels represent a groundbreaking approach by integrating therapeutic and diagnostic capabilities within a single platform, enabling real-time monitoring of wounds and precise treatment applications. These advanced materials are engine...

Point-of-need one-pot multiplexed RT-LAMP test for detecting three common respiratory viruses in saliva.

Biosensors & bioelectronics
Respiratory viral infections pose a significant global public health challenge, partly due to the difficulty in rapidly and accurately distinguishing between viruses with similar symptoms at the point of care, hindering timely and appropriate treatme...

Evaluation, correction and masking methods for unpleasant tastes of drugs: A comprehensive review.

International journal of pharmaceutics
The unpleasant tastes of drugs, including bitterness, pungency, astringency, and sourness, significantly impedes patient adherence, particularly among pediatric and geriatric populations. Accurate evaluation of these tastes is essential for optimizin...

Integrating machine learning for rapid and accurate multiplex identification of the allelic variants in single nucleotide polymorphisms by lateral flow genotyping assays.

Biosensors & bioelectronics
Single nucleotide polymorphisms (SNPs) are widely used in precision medicine, disease predisposition assessment, nutrigenetics and authenticity testing of agricultural and food products. SNP genotyping is much more challenging than detecting longer D...

Urea-mediated growth engineering of Au@Ag core-shell nanostructures: an enzymatic detection strategy with machine learning-assisted comparative analysis.

Mikrochimica acta
A non-invasive, enzyme-based colorimetric biosensor was developed for urea detection in saliva, utilizing a growth-based method with Au@Ag core-shell nanostructures, including CTAB-coated gold nanoparticles (AuNPs) and CTAB-coated gold nanorods with ...

Smart Detection of Food Spoilage Using Microbial Volatile Compounds: Technologies, Challenges, and Future Outlook.

Journal of agricultural and food chemistry
Microbial volatile organic compounds (MVOCs) serve as early, noninvasive indicators of food spoilage and microbial contamination. This review critically assesses current methods for MVOC detection, including gas chromatography-mass spectrometry (GC-M...

Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.

Analytical chemistry
Currently, the existing detection platforms face persistent challenges in achieving reliable bacterial identification within complex matrices, particularly in food and environmental specimens, where matrix interference effects substantially compromis...