Method of sensing an analyte using machine learning

EP4573361A4Pending Publication Date: 2025-11-26EYE3CONCEPTS INC
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Patent Information

Application Number
EP2023853785
Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
Priority Date
2022-08-18
Filing Date
2023-08-17
Publication Date
2025-11-26

AI Technical Summary

Technical Problem

Existing electrochemical sensors face challenges in accurately and reproducibly detecting analytes in biological samples like saliva due to interference from complex matrices, subject-to-subject variations, and batch-to-batch discrepancies in electrode manufacturing, leading to inaccurate results.

Method used

A method using machine learning algorithms to process electrical signals from electrochemical sensors, which applies an electric potential scan to induce a reaction and then uses preprocessing techniques like dimensionality reduction and ensemble machine learning models to determine the presence or concentration of analytes, reducing noise and interference.

Benefits of technology

This approach significantly improves the accuracy and reproducibility of analyte detection by accounting for subject variations and electrode discrepancies, effectively distinguishing analytes from interfering substances, achieving high detection accuracy even in complex biological samples.

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Abstract

There is provided a method of sensing an analyte in a sample by electrochemical detection. The sample is received on a sample receiving region of an electrochemical sensor, the sample receiving region being in fluid communication with a sensing electrode of the sensor. An electric potential scan is applied in a target range of electric potentials to the sensing electrode to induce an electrochemical reaction with the analyte. An electrical signal is measured from the sensing electrode while the electric potential is applied. The electrical signal is inputted into a processing device having at least one machine learning algorithm operating therein. The processing device executes the at least one machine learning algorithm to determine from the electrical signal a presence or an absence of the analyte in the sample.
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Citation Information

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