Electrochromic Sensor Augmented with Machine Learning for Enzyme-Free Analysis of Antioxidants-Reference-Cited by-同舟云学术

Electrochromic Sensor Augmented with Machine Learning for Enzyme-Free Analysis of Antioxidants

Published:2023-11-14 Issue:11 Volume:8 Page:4281-4292
ISSN:2379-3694
Container-title:ACS Sensors
language:en
Short-container-title:ACS Sens.

Author:

Ranjbar Saba¹²^ORCID,Salavati Amir Hesam³,Ashari Astani Negar⁴^ORCID,Naseri Naimeh¹⁵⁶^ORCID,Davar Navid⁴,Ejtehadi Mohammad Reza¹^ORCID

Affiliation:

1. Department of Physics, Sharif University of Technology, Tehran 11365-9161, Iran

2. Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran 14965/161, Iran

3. Tehran Institute of Advanced Studies (TeIAS), Khatam University, Tehran 1991633357, Iran

4. Departments of Physics and Energy Engineering, Amirkabir University of Technology, Tehran 15875-4413, Iran

5. Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia

6. ARC Research Hub for Advanced Manufacturing with Two-dimensional Materials (AM2D), Monash University, Clayton, VIC 3800, Australia

Funder

Sharif University of Technology

Publisher

American Chemical Society (ACS)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Instrumentation,Bioengineering

Link

https://pubs.acs.org/doi/pdf/10.1021/acssensors.3c01637

Reference52 articles.

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5. A Novel Ratiometric Fluorescent Approach for the Modulation of the Dynamic Range of Lateral Flow Immunoassays

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