AIMC Topic: Biosensing Techniques

Clear Filters Showing 41 to 50 of 517 articles

Machine learning-enabled microfluidic ratiometric fluorescence sensor array based on lanthanide-gold nanoclusters for visual detection of multicomponent antibiotics.

Biosensors & bioelectronics
The accumulation of multiple antibiotics in the environment poses severe threats to ecosystems and human health, demanding rapid, sensitive, and portable detection methods. This study introduces a lanthanide-gold nanocluster (AuNCs)-based microfluidi...

Machine learning-assisted multi-channel nanozyme sensor arrays for multiple pesticide tracking, tracing and metabolism analysis.

Biosensors & bioelectronics
To achieve precise pesticide residue detection and metabolic analysis, we innovatively proposed a machine learning-assisted multi-channel nanozyme sensor array. Five Cu-carboxylate nanozymes with outstanding laccase-like and peroxidase-like activitie...

Ultrasensitive Detection of m A-Modified RNA Using CRISPR/Cas12a-Integrated Iontronic Biosensor with Hydrophobized Nanochannels: Toward Early Cancer Diagnosis by Machine Learning.

Analytical chemistry
N -methyladenosine (m A), the most prevalent internal modification in eukaryotic RNAs, has emerged as a focal point of intensive research in recent years owing to its pivotal regulatory roles in carcinogenesis, progression, and metastasis. However, c...

Deep Learning-Assisted Lens-Free Holography Integrated Pd Nanozyme-Armed Phages for the Rapid and Extraction-Free Detection of Viable Bacteria.

Analytical chemistry
Bacterial infections represent a serious global threat to public health, often leading to severe infectious diseases and even fatalities. The most effective approach to prevent outbreaks is through the implementation of rapid, accurate, and simple po...

AI-powered programmable wetting-delamination μPAD for point-of-care food safety detection.

Biosensors & bioelectronics
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excessive pesticide application and the presence of exogenous proteins from GM crops pose significant risk...

Thermodynamic Microenvironment Engineering in Mesoporous Nanoreactors to Enhance Biocatalysis for AI-Empowered Ultrasensitive Pathogen Detection.

Analytical chemistry
Harmonizing enzyme-support microenvironments to govern thermodynamic interaction landscapes presents a critical yet underexplored frontier in nanobiocatalysis for pathogen detection. Herein, we architecturally engineer mesoporous resorcinol formaldeh...

Critical perspectives on electrochemical biosensing strategies for non-invasive lactate detection in athletic performance monitoring.

Analytical methods : advancing methods and applications
Non-invasive monitoring of lactate levels offers a promising avenue for optimizing athletic performance assessment, yet remains constrained by the limitations of traditional blood-based sampling methods. This review critically examines electrochemica...

A digital fluorescence immunoassay platform using a self-driven microfluidic cartridge with magnetic capture.

Biosensors & bioelectronics
Self-driven microfluidic devices have significantly advanced point-of-care testing (POCT) by enabling integration and automation of all the components required for biochemical analysis through capillary-driven fluid flow, eliminating the need for ext...

Cervical cancer diagnostics: non-coding RNAs and biosensors to AI-derived methods.

Clinica chimica acta; international journal of clinical chemistry
Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk factor for cervical cancer is infection with HPV 16 and HPV 18. The prevalence and mortality rates of this cancer are much higher in countries with low and...

Construction of NH-MIL-125@ZnInS Z-Scheme Heterojunctions for Deep-Learning Assisted Photoelectrochemical Sensing of Dopamine.

Langmuir : the ACS journal of surfaces and colloids
Dopamine (DA) plays a pivotal role in modulating various physiological systems. Therefore, the ultrasensitive detection of DA holds substantial importance for the diagnosis and treatment of neurological disorders. Herein, a deep-learning-assisted sma...