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合理设计具有分级多孔结构和广泛过氧化物酶模拟活性的ZIF-67衍生CoO纳米复合材料用于饮用水中亚硝酸盐的高灵敏度比色检测。

Rational designing of ZIF-67-derived CoO nanocomposite with hierarchical porous structure and extensive peroxidase mimetic activities for highly sensitive colorimetric detection of nitrite in drinking water.

作者信息

Ullah Mohib, Arshad Madeeha, Wei Calvin R, Sanghvi Gaurav, Ballal Suhas, Kalia Rishiv, Tirth Vineet, Algahtani Ali, Zhengxin Li

机构信息

School of Material Science and Engineering, Henan University of Technology Zhengzhou, Henan, 450001, China.

Department of Zoology, Division of Science and Technology, University of Education, Lahore, Pakistan.

出版信息

Mikrochim Acta. 2025 Jan 9;192(2):61. doi: 10.1007/s00604-024-06904-1.

DOI:10.1007/s00604-024-06904-1
PMID:39779597
Abstract

A simple, fast, and cost-effective colorimetric nitrite (NO) sensor based on ZIF-67-derived CoO nanocomposite (ZCo-2 NC) structure has been developed. The prepared colorimetric sensor (ZCo-2 NC) was employed to sensitively detect NO in drinking water system by the exhibition of promising peroxidase-mimicking nanozyme-like features. The sensor manifest well-determined sensing response with excellent linear and wide range of NO sensitivity (0.001-0.810 μM). The lower detection-limit (LOD) and lower quantification-limit (LOQ) were 0.14 ± 0.05 nM and 0.72 ± 0.05 nM, respectively, which is far below the US-EPA limit (21.7 μM). Further, the sensor also provides strong selectivity response to NO, better reversibility (12 cycles), and commendable stability of 10 weeks. In addition, it also perceived astonishing practicality towards NO in real water samples. Thus, this study opens a new pathway for the sensitive detection of NO in drinking water for future endeavor.

摘要

基于ZIF-67衍生的CoO纳米复合材料(ZCo-2 NC)结构,开发了一种简单、快速且经济高效的比色亚硝酸盐(NO)传感器。所制备的比色传感器(ZCo-2 NC)通过展现出有前景的类过氧化物酶模拟纳米酶特性,被用于灵敏检测饮用水系统中的NO。该传感器表现出良好确定的传感响应,对NO具有出色的线性和宽范围灵敏度(0.001 - 0.810 μM)。较低检测限(LOD)和较低定量限(LOQ)分别为0.14±0.05 nM和0.72±0.05 nM,远低于美国环保署的限值(21.7 μM)。此外,该传感器对NO还具有强选择性响应、较好的可逆性(12个循环)以及10周的良好稳定性。此外,它对实际水样中的NO也展现出惊人的实用性。因此,本研究为未来饮用水中NO的灵敏检测开辟了一条新途径。

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