Work

Dendritic Fe 2 O 3 –rGO nanoarchitectures for electrochemical uric acid sensing coupled with explainable machine learning-driven sensor analytics

Year: 2026

Type: article

Abstract: = 0.996, RMSE = 3.6 µM, and MAE = 2.9 µM under nested validation, while SHapley Additive exPlanations (SHAP) enabled interpretation links predictive performance to physically meaningful electrochemical descriptors. This integration of heterointerface engineering, electrochemical sensing, uncertainty-aware prediction, and explainable AI establishes a compelling framework for next-generation intelligent chemical sensing.

Source: Nanoscale Advances

DOI: 10.1039/d6na00705h

Authors: Anil Subash S., Manjunatha C., Nagendra Babu A. P., Radha Nagaraj, Shwetha K. P., Bahumanya R. G., Vishal Chaudhary, Chandresh Kumar R., Praveen Sekhar

Institutions: R.V. College of Engineering, Visvesvaraya Technological University, Bangalore University, Mahidol University, DY Patil Deemed to be University, Washington State University Vancouver

Language: English

Topic: Electrochemical sensors and biosensors

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,962

OpenAlex ID: W7223015004

FWCI:

Cites: 42

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Related to: 10