Colorimetric Sensors Based on the Metal-Organic Frameworks for Highly Sensitive and Rapid Detection of Cr(VI)

18 Pages Posted: 26 Aug 2022

See all articles by Yawen Liu

Yawen Liu

Shanghai University

Zhijuan Niu

Sun Yat-sen University (SYSU)

Jie Chen

Shanghai University

Zhihui Mao

Shanghai University

Han Zhu

Shanghai University

Xiaojun Hu

Shanghai University

Kai Yan

Sun Yat-sen University (SYSU)

Hongxia Chen

Shanghai University

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Abstract

Cr(VI), a hazardous and cancer-causing metal ion that is typically released into wastewater as a result of various production processes, has a negative impact on both human health and the environment. In order to prevent industrial sewage from entering the water supply, Cr(VI) must be captured and removed. For detecting Cr(VI), there are few efficient colorimetric techniques. Here, we created a straightforward and practical technique based on the Cu metalorganic framework (Cu-MOF) to construct a visual colorimetric sensor and UV-vis spectrum quantitative analysis method for Cr(VI). In the presence of Cu-MOF, the colorless 3, 3′, 5, 5′-tetramethylbenzidine solution can be quickly transformed into the deep blue colored oxTMB without H2O2. Within 1 minute, this technique can detect Cr(VI) with a broad linear range of 0.2-100 μM. It was established that the limits of detection were 0.023 μM. It exhibits good selectivity towards potentially disruptive metal ions and anions in wastewater. Cu-MOF’s sensitivity and rapid response time are highly helpful for the colorimetric detection of Cr(VI), which offers great promise for the rapid detection of environmental samples.

Keywords: Cu-MOF nanozyme, Cr(VI), colorimetric sensor, real samples

Suggested Citation

Liu, Yawen and Niu, Zhijuan and Chen, Jie and Mao, Zhihui and Zhu, Han and Hu, Xiaojun and Yan, Kai and Chen, Hongxia, Colorimetric Sensors Based on the Metal-Organic Frameworks for Highly Sensitive and Rapid Detection of Cr(VI). Available at SSRN: https://ssrn.com/abstract=4177894 or http://dx.doi.org/10.2139/ssrn.4177894

Yawen Liu

Shanghai University ( email )

149 Yanchang Road
SHANGDA ROAD 99
Shanghai 200072, 200444
China

Zhijuan Niu

Sun Yat-sen University (SYSU) ( email )

Jie Chen

Shanghai University ( email )

149 Yanchang Road
SHANGDA ROAD 99
Shanghai 200072, 200444
China

Zhihui Mao

Shanghai University ( email )

149 Yanchang Road
SHANGDA ROAD 99
Shanghai 200072, 200444
China

Han Zhu

Shanghai University ( email )

149 Yanchang Road
SHANGDA ROAD 99
Shanghai 200072, 200444
China

Xiaojun Hu

Shanghai University ( email )

149 Yanchang Road
SHANGDA ROAD 99
Shanghai 200072, 200444
China

Kai Yan

Sun Yat-sen University (SYSU) ( email )

Haizhu District
China

Hongxia Chen (Contact Author)

Shanghai University ( email )

149 Yanchang Road
SHANGDA ROAD 99
Shanghai 200072, 200444
China

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