An AI-assisted smartphone platform for H2O2 and glutathione detection using a dual-functional Pd-ReS2-MXene nanoprobes.

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Title: An AI-assisted smartphone platform for H2O2 and glutathione detection using a dual-functional Pd-ReS2-MXene nanoprobes.
Authors: Vilian E; Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea. Electronic address: ezhil2040@dongguk.edu., Ahn J; Department of Biological Engineering, Inha University, Incheon, 22212, Republic of Korea., Mohammadi A; Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea., Hormozi Jangi SR; Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea., Mohammadzadeh L; Department of Chemistry, University of Basel, Switzerland., Choo J; Department of Chemistry, Chung-Ang University, Seoul, 06974, Republic of Korea. Electronic address: jbchoo@cau.ac.kr., Huh YS; Department of Biological Engineering, Inha University, Incheon, 22212, Republic of Korea. Electronic address: yunsuk.huh@inha.ac.kr., Han YK; Department of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, 04620, Republic of Korea. Electronic address: ykenergy@dongguk.edu.
Source: Biosensors & bioelectronics [Biosens Bioelectron] 2026 Mar 01; Vol. 295, pp. 118287. Date of Electronic Publication: 2025 Dec 02.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Advanced Technology Country of Publication: England NLM ID: 9001289 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4235 (Electronic) Linking ISSN: 09565663 NLM ISO Abbreviation: Biosens Bioelectron Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-4235
DOI:10.1016/j.bios.2025.118287