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利用比色聚合物传感器和智能手机应用程序轻松分析加工肉类中的亚硝酸盐。

Easy Nitrite Analysis of Processed Meat with Colorimetric Polymer Sensors and a Smartphone App.

机构信息

Departamento de Química, Facultad de Ciencias, Universidad de Burgos, Plaza de Misael Bañuelos s/n, 09001 Burgos, Spain.

Universidad Politécnica de Madrid, 28040 Madrid, Spain.

出版信息

ACS Appl Mater Interfaces. 2022 Aug 17;14(32):37051-37058. doi: 10.1021/acsami.2c09467. Epub 2022 Aug 3.

DOI:10.1021/acsami.2c09467
PMID:35920554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9389542/
Abstract

We have developed an in situ methodology for determining nitrite concentration in processed meats that can also be used by unskilled personnel. It is based on a colorimetric film-shaped sensory polymer that changes its color upon contacting the meat and a mobile app that automatically calculates the manufacturing and residual nitrite concentration by only taking digital photographs of sensory films and analyzing digital color parameters. The film-shaped polymer sensor detects nitrite anions by an azo-coupling reaction, since they activate this reaction between two of the four monomers that the copolymer is based on. The sensory polymer is complemented with an app, which analyzes the color in two different digital color spaces (RGB and HSV) and performs a set of 32 data fittings representing the concentration of nitrite versus eight different variables, finally providing the nitrite concentration of the test samples using the best fitting curve. The calculated concentration of nitrite correlates with a validated method (ISO 2918: 1975) usually used to determine nitrite, and no statistically significant difference between these methods and our proposed one has been found in our study (26 meat samples, 8 prepared, and 18 commercial). Our method represents a great advance in terms of analysis time, simplicity, and orientation to use by average citizens.

摘要

我们开发了一种用于测定加工肉类中亚硝酸盐浓度的原位方法，即使是非专业人员也可以使用。它基于一种比色的薄膜状感测聚合物，当与肉类接触时会改变颜色，以及一个移动应用程序，该应用程序只需拍摄感测膜的数字照片并分析数字颜色参数，即可自动计算制造和残留亚硝酸盐浓度。薄膜聚合物传感器通过偶氮耦合反应检测亚硝酸盐阴离子，因为它们激活了基于该共聚物的四个单体中的两个之间的这种反应。感测聚合物与一个应用程序互补，该应用程序分析两个不同的数字颜色空间（RGB 和 HSV）中的颜色，并执行一组 32 个数据拟合，代表亚硝酸盐浓度与八个不同变量之间的关系，最终使用最佳拟合曲线提供测试样品的亚硝酸盐浓度。所计算的亚硝酸盐浓度与通常用于测定亚硝酸盐的经过验证的方法（ISO 2918:1975）相关，并且在我们的研究中（26 个肉样，8 个制备的和 18 个商业的）没有发现这些方法与我们提出的方法之间存在统计学上的显著差异。我们的方法在分析时间、简单性和面向普通市民使用方面代表了重大进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/d960d4cde783/am2c09467_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/1da3c3af7012/am2c09467_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/501478b7ffcd/am2c09467_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/3f791d186c92/am2c09467_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/14e0a7038789/am2c09467_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/cfc93386b595/am2c09467_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/d960d4cde783/am2c09467_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/1da3c3af7012/am2c09467_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/501478b7ffcd/am2c09467_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/3f791d186c92/am2c09467_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/14e0a7038789/am2c09467_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/cfc93386b595/am2c09467_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/9389542/d960d4cde783/am2c09467_0007.jpg

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