AIMC Topic: Electrochemical Techniques

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Multi-component metabolite electrochemical detection and analysis based on machine learning.

Analytical methods : advancing methods and applications
Metabolic molecules are highly correlated with various physiological indicators and diseases, so it is particularly important to monitor the levels of multiple metabolites in the body. Due to the similar electrochemical properties of uric acid (UA), ...

Single-atom aptamer anchoring enables light-addressable multiplexed biosensing for early detection of pancreatic cancer.

Biosensors & bioelectronics
Pancreatic cancer remains one of the deadliest malignancies due to its silent progression and lack of early diagnostic tools. Here, we report a light-addressable photoelectrochemical (LAMT-PEC) biosensing system featuring single-atom Au-TiO photoelec...

High-Output Droplet Electricity Generator for Intelligent Self-Powered Biochemical Analysis.

Analytical chemistry
The detection and analysis of chemical and biological substances are crucial in fields such as pharmaceuticals, disease diagnosis food safety and environmental monitoring. However, traditional analytical methods often involve complex procedures, expe...

Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B.

Scientific reports
Staphylococcal enterotoxin B (SEB) holds critical importance in disease diagnosis, food safety, and public health due to its high toxicity and potent pathogenicity. Traditional immunoassay methods for detecting SEB often exhibit insufficient accuracy...

Electrochemical microfluidic biosensors for the detection of cancer biomarker miRNAs.

Talanta
Cancer is a formidable adversary in contemporary healthcare. Routine screening and early diagnosis are crucial for favourable therapeutic outcomes. Publications, clinical trials, and patent landscape analysis suggest miRNA as promising biomarkers for...

Enhancing the Predictive Performance of Molecularly Imprinted Polymer-Based Electrochemical Sensors Using a Stacking Regressor Ensemble of Machine Learning Models.

ACS sensors
The performance of electrochemical sensors is influenced by various factors. To enhance the effectiveness of these sensors, it is crucial to find the right balance among these factors. Researchers and engineers continually explore innovative approach...

Deep Learning-Assisted Multiplexed Electrochemical Fingerprinting for Chinese Tea Identification.

Analytical chemistry
Selectively differential identification of natural components with similar chemical structures in complex matrices is still a challenging task by conventional analytical strategies. Herein, we developed a landmark (DaXing airport)-inspired laser engr...

Nanopsychiatry: Advancing psychiatric diagnosis and monitoring through nanotechnology-based detection.

Clinica chimica acta; international journal of clinical chemistry
Nanopsychiatry, operating at the nanoscale, leverages engineered nanomaterials and nanodevices to revolutionize psychiatric diagnostics and therapeutics. This review systematically analyzes the implementation of advanced nanomaterials, including quan...

ZnO nanoflower-mediated paper-based electrochemical biosensor for perfect classification of cardiac biomarkers with physics-informed machine learning.

Mikrochimica acta
The widespread exposure of acute myocardial infarction globally demands an ultrasensitive, rapid, and cost-effective biosensor for troponin-I and T in a dynamic concentration range. Traditionally, the saturation of sensor response limits accurate pre...

Machine Learning-Assisted Portable Dual-Readout Biosensor for Visual Detection of Milk Allergen.

Nano letters
Beta-lactoglobulin (β-LG), the primary allergen in cow's milk, makes developing a rapid, sensitive, and convenient detection method essential for individuals with allergies. In this study, a graphdiyne-based self-powered electrochemical biosensor has...