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A microfluidic concentration gradient colorimetric system for rapid detection of nitrite in surface water

文献类型: 外文期刊

作者: Man, Yan 1 ; Yu, Kaijia 3 ; Tan, Huimin 1 ; Jin, Xinxin 1 ; Tao, Jing 1 ; Pan, Ligang 1 ;

作者机构: 1.Beijing Acad Agr & Forestry Sci, Inst Qual Stand & Testing Technol, Beijing, Peoples R China

2.Minist Agr, Risk Assessment Lab Agroprod Beijing, Beijing, Peoples R China

3.Inner Mongolia Univ, Coll Chem & Chem Engn, Hohhot, Inner Mongolia, Peoples R China

关键词: Nitrite; Microfluidic chip; Colorimetric; Smartphone; Concentration gradient

期刊名称:JOURNAL OF HAZARDOUS MATERIALS ( 影响因子:13.6; 五年影响因子:12.7 )

ISSN: 0304-3894

年卷期: 2024 年 465 卷

页码:

收录情况: SCI

摘要: A microfluidic concentration gradient colorimetric detection system consisting of a microfluidic concentration gradient colorimetric detection chip, a self-built colorimetric signal acquisition box and a self-written smartphone APP was constructed for the rapid, in-field and visual quantitative detection of nitrite. Specifically, nitrite with initial concentration of C0 can be automatically diluted into 8 concentration gradients characterized by arithmetic series, and the concentrations are 0, 0.20 C0, 0.33 C0, 0.46 C0, 0.59 C0, 0.72 C0, 0.86 C0 and C0. The colorimetric signal acquisition box avoided the interference of light spots on data acquisition. Under the optimal experimental conditions, the quantitative detection of nitrite was achieved by the proposed two-step colorimetric method based on the inhibition of AuNPs signal amplification, and the limit of detection (LOD) was 0.14 mg/L. The microfluidic concentration gradient colorimetric detection system was able to detect nitrite as low as 0.43 mg/L and showed a good specificity. The practical application was investigated by analyzing 10 actual samples of river and lake water, pure water and tap water. The recoveries of the microfluidic concentration gradient colorimetric detection system ranged from 94.92% to 105.60%, which indicates that the method had a good application prospect in the detection of practical samples.

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