AIMC Topic: Electrochemical Techniques
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Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.
Analytical chemistry
Jul 26, 2025
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...
A neural network-shaped composite of α-MnO with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples.
The Analyst
Jul 21, 2025
A neural network-shaped composite fusing α-MnO and nitrogen-doped graphene (N@Gr/α-MnO) was synthesized a hydrothermal method. The resulting composite demonstrates enhanced electrocatalytic activity for hydrogen peroxide (HO) compared with each sing...
Multi-component metabolite electrochemical detection and analysis based on machine learning.
Analytical methods : advancing methods and applications
Jul 17, 2025
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), ...
High-Output Droplet Electricity Generator for Intelligent Self-Powered Biochemical Analysis.
Analytical chemistry
Jun 10, 2025
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
Jun 4, 2025
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...
Enhancing the Predictive Performance of Molecularly Imprinted Polymer-Based Electrochemical Sensors Using a Stacking Regressor Ensemble of Machine Learning Models.
ACS sensors
Apr 17, 2025
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
Apr 10, 2025
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
Mar 26, 2025
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
Mar 26, 2025
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
Mar 20, 2025
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...
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