journal article·2026-05-22

Defective Hydrogel-Based Paper and Smartphone-Assisted Intelligent Colorimetric Sensors for Dual Monitoring of Glyphosate and Copper Ions Based on Ru-CoMOF@MoS 2

Emmanuel Chigozie Aham, Ravi kumar Ayyanu, Arunjegan Amalraj, Charles Obinwanne Okoye, Maruf Ahmed, Yibin Deng, Zhen Zhang, Qin Xu

ACS Applied Nano Materials· Volume 9· Issue 20
Publisher page

Abstract

Glyphosate and copper ions often coexist in food and the environment, posing combined health risks to humans, yet developing simple, sensitive, and rapid methods for their simultaneous detection remain challenging. Here, we present a defective hydrogel and smartphone-assisted colorimetric sensor for intelligent, reversible, and sequential monitoring of glyphosate (Gly) and copper ions (Cu 2+ ). The sensor exploits the peroxidase-like properties of metal–organic frameworks (MOFs) CoMOF, Ru-CoMOF, and Ru-CoMOF@MoS 2 to catalytically oxidize colorless 3,3,5,5-tetramethylbenzidine (TMB) into its blue oxidized form, oxTMB (oxidized 3,3,5,5-tetramethylbenzidine), in the presence of H 2 O 2 . Among these, Ru-CoMOF@MoS 2 exhibited the highest catalytic activity due to enhanced active sites and electron transport and was therefore selected as the sensing material. In this system, the presence of glyphosate inhibits the catalytic oxidation of TMB, resulting in fading of the blue color, while subsequent addition of Cu 2+ restores the blue color through the formation of a Gly–Cu complex, thereby reversing the inhibition. Based on this mechanism, the sensing system enables dual detection of Gly and Cu 2+ with nanomolar sensitivity of 1.88 and 1.08 nM respectively, which are lower than the permissible limits of 5.32 μM for Gly and 31.5 μM for Cu 2+ set by WHO, highlighting its high sensitivity and regulatory relevance. Furthermore, hydrogel encapsulation improves stability and portability, while paper-based formats and smartphone-assisted colorimetric analysis facilitates rapid, quantitative, on-site monitoring. This work offers an innovative MOF-based sensor for intelligent, real-time, and rapid dual-analyte detection in a single sensing platform for food and environmental water monitoring.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Nanomaterials in Catalysis · Carbon and Quantum Dots Applications · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Innovation Materials and Energy, School of Chemistry and Chemical Engineering

Yangzhou University

Department of Biochemistry, Faculty of Biological Sciences

University of Nigeria

Natural Science Unit, School of General Studies

The Department of Chemistry, Faculty of Science

Chulalongkorn University

School of the Environment and Safety Engineering

Jiangsu University

Center for Medical Laboratory Science, the Affiliated Hospital of You jiang Medical University for Nationalities

Key Laboratory of Clinical Molecular Diagnosis and Research for High Incidence Diseases in Western Guangxi

Funding

National Natural Science Foundation of China · Yangzhou University Interdisciplinary Research Foundation for Chemistry Discipline of Targeted Support · Yangzhou Science and Technology Public Service Platform

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