A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors-Reference-Cited by-同舟云学术

A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors

Published:2022 Issue:46 Volume:14 Page:4749-4755
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Lee Taeha¹²,Lee Hyung-Tak²³,Hong Jiho¹,Roh Seokbeom¹²,Cheong Da Yeon¹²,Lee Kyungwon¹,Choi Yeojin¹,Hong Yoochan⁴^ORCID,Hwang Han-Jeong²³,Lee Gyudo¹²^ORCID

Affiliation:

1. Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, South Korea

2. Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong 30019, South Korea

3. Department of Electronics and Information Engineering, Korea University, Sejong 30019, South Korea

4. Department of Medical Device, Korea Institute of Machinery and Materials, Daegu 42994, South Korea

Abstract

Machine learning-based analysis of colorimetric paper sensors for pH and glucose detection.

Funder

National Research Foundation of Korea

Institute for Information and Communications Technology Promotion

Korea University

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AY/D2AY01329K

Reference58 articles.

1. The Economic Burden of Elevated Blood Glucose Levels in 2017: Diagnosed and Undiagnosed Diabetes, Gestational Diabetes Mellitus, and Prediabetes

2. Diagnosis and Classification of Diabetes Mellitus

3. Type 2 Diabetes Mellitus: A Review of Current Trends

4. Classification and Diagnosis of Diabetes Mellitus and Other Categories of Glucose Intolerance

5. Gestational Diabetes Mellitus: Mechanisms, Treatment, and Complications

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Capillary Flow-Based One-Minute Quantification of Amyloid Proteolysis;Biosensors;2024-08-19

2. Smartphone‐Embedded Artificial Intelligence‐Based Regression for Colorimetric Quantification of Multiple Analytes with a Microfluidic Paper‐Based Analytical Device in Synthetic Tears;Advanced Intelligent Systems;2024-08-18

3. Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions;ACS Sensors;2024-08-15

4. Machine learning-assisted image-based optical devices for health monitoring and food safety;TrAC Trends in Analytical Chemistry;2024-08

5. Glucose Oxidase Activity Colorimetric Assay Using Redox-Sensitive Electrochromic Nanoparticle-Functionalized Paper Sensors;ACS Omega;2024-03-20