Phenosafranin-Based Colorimetric-Sensing Platform for Nitrite Detection Enabled by Griess Assay
Jingzhou Hou,
Huixiang Wu,
Xin Shen,
Chao Zhang,
Changjun Hou,
Qiang He,
Danqun Huo
Affiliations
Jingzhou Hou
Key Laboratory of Eco-Environment of Three Gorges Region of Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing 400045, China
Huixiang Wu
Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, China
Xin Shen
Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, China
Chao Zhang
Solid-state Fermentation Resource Utilization Key Laboratory of Sichuan Province, Yibin University, Yibin 644000, China
Changjun Hou
Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, China
Qiang He
Key Laboratory of Eco-Environment of Three Gorges Region of Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing 400045, China
Danqun Huo
Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, China
A facile and effective colorimetric-sensing platform based on the diazotization of phenosafranin for the detection of NO 2 − under acidic conditions using the Griess assay is presented. Diazotization of commercial phenosafranin produces a color change from purplish to blue, which enables colorimetric quantitative detection of NO 2 − . Optimal detection conditions were obtained at a phenosafranin concentration of 0.25 mM, HCl concentration of 0.4 M, and reaction time of 20 min. Under the optimized detection conditions, an excellent linearity range from 0 to 20 μM was obtained with a detection limit of 0.22 μM. Favorable reproducibility and selectivity of the colorimetric sensing platform toward NO 2 − were also verified. In addition, testing spiked ham sausage, bacon, and sprouts samples demonstrated its excellent practicability. The presented colorimetric sensing platform is a promising candidate for the detection of NO 2 − in real applications.
