A rapid, sensitive and green analytical method for the determination of sulfite in vinegars using pararosaniline reaction with image detection,Analytical Methods

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A rapid, sensitive and green analytical method for the determination of sulfite in vinegars using pararosaniline reaction with image detection
Analytical Methods ( IF 2.7 ) Pub Date : 2017-12-20 00:00:00 , DOI: 10.1039/c7ay02155k
Pedro L. Almeida _{1,

2,

3,

4} , Thais H. Figueiredo do Bonfim _{1,

3,

4,

5} , Francisco Antonio S. Cunha _{1,

2,

3,

4} , Kássio M. G. Lima _{4,

6,

7,

8,

9} , Jailane S. Aquino _{1,

3,

4,

5} , Luciano F. Almeida _{1,

2,

3,

4}

Affiliation

A green, rapid and sensitive automated analytical method with imaging detection for the determination of sulfite in vinegars using the pararosaniline (PRA)–formaldehyde–sulfite reaction is demonstrated. This work proposes the use of a flow-batch analyzer (FBA) in association with digital images (DIs) obtained from a webcam to perform fast and accurate quantification of sulfite in vinegar samples with low waste generation and high sensitivity. The FBA designed for the monitoring of the PRA–formaldehyde–sulfite reaction under non-equilibrium conditions consisted of a mixing chamber (MC) with a lateral glass window and an ultra-bright LED mounted on top of the MC. Rigorous luminosity and time control were required to acquire accurate and precise data from digital images taken during the reaction. An algorithm based on RGB norm vectors (∥ν_RGB∥) with gamma correction was developed for absorbance calculations. The proposed method was applied to sulfite quantification in five different vinegar samples (apple cider, distilled, lemon, and white and red wine), with iodometric titration as a comparative method. The estimated LOD was 0.04 mg L⁻¹, with a linear range of from 0.13 to 32.7 mg L⁻¹, recoveries were in the range 94–107%, and the sample throughput was 43 h⁻¹ at a reaction time of 30 s. Both the proposed and reference methods were statistically compared using a paired t-test at a confidence level of 95% and the maximum standard deviation was 1.6 and 1.7 mg L⁻¹, respectively. All of the results reported here confirm the proposed method's potential to be a very rapid, low-cost and trustworthy tool, applicable for the quality control of sulfite in a wide variety of vinegar. The low levels of reagent consumption and waste generation in the proposed method qualify the analytical procedure as environmentally friendly and in alignment with green chemistry guidelines.

中文翻译：

邻苯二苯胺反应与图像检测技术快速，灵敏，绿色的测定醋中亚硫酸盐的方法

演示了一种绿色，快速，灵敏的自动分析方法，该方法具有影像检测功能，可使用副对苯二胺（PRA）-甲醛-亚硫酸盐反应测定醋中的亚硫酸盐。这项工作建议使用流批分析器（FBA）与从网络摄像头获得的数字图像（DI）结合使用，以快速，准确地定量醋样品中的亚硫酸盐，而产生的废物少且灵敏度高。用于监视非平衡条件下PRA-甲醛-亚硫酸盐反应的FBA由一个带有侧面玻璃窗的混合室（MC）和一个安装在MC顶部的超亮LED组成。需要严格的发光度和时间控制才能从反应过程中获取的数字图像中获取准确而精确的数据。一种基于RGB范数向量的算法（∥ν _RGB ∥）与伽玛校正被吸光度计算的发展。所建议的方法用于碘酒滴定法作为比较方法，用于五种不同醋样品（苹果酒，蒸馏酒，柠檬以及白葡萄酒和红葡萄酒）中的亚硫酸盐定量。估计的LOD为0.04 mg L ^-1，线性范围为0.13至32.7 mg L ^-1，回收率在94–107％的范围内，在30 s的反应时间下样品通量为43 h ^-1。使用配对t检验在95％的置信度下对提议的方法和参考方法进行了统计学比较，最大标准偏差为1.6和1.7 mg L ^-1，分别。此处报告的所有结果均证实了该方法的潜力，该方法是一种非常快速，低成本且可信赖的工具，可用于多种醋中亚硫酸盐的质量控制。所提出的方法中试剂消耗量低且产生废物的程度低，使分析程序符合环境要求并符合绿色化学指南。

更新日期：2017-12-20

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