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Metal-organic framework-based ratiometric point-of-care testing for quantitative visual detection of nitrite.
Liang, Maosheng; Gao, Yifan; Sun, Xiaoling; Kong, Rong-Mei; Xia, Lian; Qu, Fengli.
Afiliação
  • Liang M; Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China.
  • Gao Y; Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China.
  • Sun X; Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China.
  • Kong RM; Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China.
  • Xia L; Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China. Electronic address: xialian01@163.com.
  • Qu F; Chemistry and Chemical Engineering College, Qufu Normal University, Qufu, Shandong 273165, PR China.
J Hazard Mater ; 469: 134021, 2024 May 05.
Article em En | MEDLINE | ID: mdl-38490146
ABSTRACT
Nitrite (NO2-) is categorized as a carcinogenic substance and is subjected to severe limitations in water and food. To safeguard the public's health, developing fast and convenient methods for determination of NO2- is of significance. Point-of-care testing (POCT) affords demotic measurement of NO2- and shows huge potential in future technology beyond those possible with traditional methods. Here, a novel ratiometric fluorescent nanoprobe (Ru@MOF-NH2) is developed by integrating UiO-66-NH2 with tris(2,2'-bipyridyl)ruthenium(II) ([Ru(bpy)3]2+) through a one-pot approach. The special diazo-reaction between the amino group of UiO-66-NH2 and NO2- is responsible for the report signal (blue emission) with high selectivity and the red emission from [Ru(bpy)3]2+ offers the reference signal. The proposed probe shows obviously distinguishable color change from blue to red towards NO2- via naked-eye. Moreover, using a smartphone as the detection device to read color hue, ultra-sensitive quantitative detection of NO2- is achieved with a low limit of detection at 0.6 µΜ. The accuracy and repeatability determined in spiked samples through quantitative visualization is in the range of 105 to 117% with a coefficient of variation below 4.3%. This POCT sensing platform presents a promising strategy for detecting NO2- and expands the potential applications for on-site monitoring in food and environment safety assessment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ácidos Ftálicos / Estruturas Metalorgânicas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ácidos Ftálicos / Estruturas Metalorgânicas Idioma: En Ano de publicação: 2024 Tipo de documento: Article