Quantitative Detection of Nitrite in Food Samples Based on Digital Image Colourimetry by Smartphone
Huihui Wang, Xu Jing, Xinyuan Bi, Bing Bai, Xiaowen Wang
Abstract
Abstract A novel colourimetric method for the detection of nitrite in food samples using digital image colourimetry (DIC) by smartphone is developed. Nitrite directly oxidise 3,3′,5,5′‐tetramethylbenzidine (TMB) to form a yellow TMB diimine (oxTMB). A smartphone was used to capture the image of an inherent colour variation and analyse the image with the RGB (red, green, and blue) model, achieving the quantitative detection of nitrite. Linear response for the detection of nitrite was obtained from 10 μmol L −1 to 440 μmol L −1 and the limit of quantification was 2.34 μmol L −1 . The applicability of the method was confirmed by the detection of nitrite in cabbage, pickle, and ham. The recovery was varied in the range from 96.2 % to 108.2 % with a relative standard deviation of less than 5.0 %. The simple, sensitive, and inexpensive method was an alternative for the detection of nitrite in food samples.