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Gao Z, Guan J, Wang M, Liu S, Chen K, Liu Q, Chen X. A novel laccase-like Cu-MOF for colorimetric differentiation and detection of phenolic compounds. Talanta 2024; 272:125840. [PMID: 38430865 DOI: 10.1016/j.talanta.2024.125840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/31/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
The development of convenient, fast, and cost-effective methods for differentiating and detecting common organic pollutant phenols has become increasingly important for environmental and food safety. In this study, a copper metal-organic framework (Cu-MOF) with flower-like morphology was synthesized using 2-methylimidazole (2-MI) as ligands. The Cu-MOF was designed to mimic the natural laccase active site and proved demonstrated excellent mimicry of enzyme-like activity. Leveraging the superior properties of the constructed Cu-MOF, a colorimetric method was developed for analyzing phenolic compounds. This method exhibited a wide linear range from 0.1 to 100 μM with a low limit of detection (LOD) of 0.068 μM. Besides, by employing principal component analysis (PCA), nine kinds of phenols was successfully distinguished and identified. Moreover, the combination of smartphones with RGB profiling enabled real-time, quantitative, and high-throughput detection of phenols. Therefore, this work presents a paradigm and offers guidance for the differentiation and detection of phenolic pollutants in the environment.
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Affiliation(s)
- Ziyi Gao
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China
| | - Jianping Guan
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China
| | - Meng Wang
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China
| | - Shenghong Liu
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China
| | - Kecen Chen
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China
| | - Qi Liu
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China.
| | - Xiaoqing Chen
- College of Chemistry and Chemical Engineering, Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, Central South University, Changsha, 410083, Hunan, China.
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Narouie S, Rounaghi GH, Saravani H, Shahbakhsh M. Multiwalled Carbon Nanotubes/4,4′‐dihydroxybiphenyl Nanolayered Composite for Voltammetric Detection of Phenol. ELECTROANAL 2021. [DOI: 10.1002/elan.202100572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- S. Narouie
- Department of Chemistry, Faculty of Sciences Ferdowsi University of Mashhad Mashhad P.O. Box 9177948974 Iran
| | - G. H. Rounaghi
- Department of Chemistry, Faculty of Sciences Ferdowsi University of Mashhad Mashhad P.O. Box 9177948974 Iran
| | - H. Saravani
- Inorganic Chemistry Research Laboratory, Department of Chemistry University of Sistan and Baluchestan Zahedan P.O. Box 98135-674 Iran
| | - M. Shahbakhsh
- Analytical Chemistry Research Laboratory, Department of Chemistry University of Sistan and Baluchestan P.O. Box 98135-674 Zahedan Iran
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