Quantitative Detection of Nitrite in Food Samples Based on Digital Image Colourimetry by Smartphone,ChemistrySelect

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Quantitative Detection of Nitrite in Food Samples Based on Digital Image Colourimetry by Smartphone
ChemistrySelect ( IF 1.9 ) Pub Date : 2020-08-24 , DOI: 10.1002/slct.202002406
Huihui Wang ₁ , Xu Jing ₁ , Xinyuan Bi ₂ , Bing Bai ₃ , Xiaowen Wang ₁

Affiliation

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.

中文翻译：

基于智能手机数字图像色度法的食品样品中亚硝酸盐定量检测

开发了一种通过智能手机使用数字图像比色法（DIC）检测食品样品中亚硝酸盐的新颖比色法。亚硝酸盐直接氧化3,3'，5,5'-四甲基联苯胺（TMB），形成黄色的TMB二亚胺（oxTMB）。使用智能手机捕获固有颜色变化的图像，并使用RGB（红色，绿色和蓝色）模型分析图像，从而实现亚硝酸盐的定量检测。从10微摩尔L时获得用于检测亚硝酸盐的线性响应^-1至440微摩尔大号^-1和定量限为2.34微摩尔大号^-1。通过检测卷心菜，咸菜和火腿中的亚硝酸盐，证实了该方法的适用性。回收率在96.2％至108.2％的范围内变化，相对标准偏差小于5.0％。简单，灵敏和廉价的方法是检测食品样品中亚硝酸盐的替代方法。

更新日期：2020-08-24

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