利用智能手机数字图像开发快速、简单、低成本的牛乳及其衍生物中还原糖定量方法

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Bruna Ramos de Souza Gomes, Maria Eduarda Bezerra Coutinho, Jandyson Machado Santos
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引用次数: 0

摘要

牛奶及其衍生物中还原糖的定量对于质量控制和确保消费者的食品安全非常必要。在此,我们开发了两种快速简便的方法,用于定量检测牛奶及其衍生物样品中的还原糖,这两种方法均基于比色法,然后使用智能手机摄像头和 PhotoMetrix® 软件采集数字图像。通过多通道单变量分析处理数据,还原糖混合物的分析曲线获得了令人满意的 r 值(0.90)。这些方法在 10-100 mg mL-1 的线性范围内进行了验证,并应用于 8 种牛奶或其衍生物样品的分析,回收率在 93.64% 至 105.21% 之间,与参考的 Lane-Eynon 滴定法(AOAC 923.09)的结果具有统计学上的可比性。这些新方法是乳制品行业还原糖质量控制中很有前途的替代方法。它们具有经济实惠、便于携带、符合绿色化学原则等显著优点。样品数据采集和处理时间仅需 2 分钟,可在短时间内进行多项分析。这使它们特别适合应用于食品质量控制的常规分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of Rapid, Simple and Low-Cost Methods for Quantification of Reducing Sugars in Cow Milk and Derivatives Using Smartphone Digital Images

Development of Rapid, Simple and Low-Cost Methods for Quantification of Reducing Sugars in Cow Milk and Derivatives Using Smartphone Digital Images

The quantification of reducing sugars in cow milk and derivatives is necessary for quality control and to ensure food safety for consumers. Here, two rapid and simple methods were developed for the quantification of reducing sugars in samples of milk and derivatives, based on colorimetric assays followed by acquisition of digital images using a smartphone camera and PhotoMetrix® software. The data were processed by univariate analysis with multiple channels, obtaining satisfactory r values (> 0.90) for analytical curves of mixtures of reducing sugars. The methods were validated within a linear range of 10–100 mg mL−1 and were applied in the analysis of eight samples of cow milk or it is derivatives with recovery values ranged from 93.64 to 105.21%, and the results were statistically comparable to those obtained using the reference Lane-Eynon titration method (AOAC 923.09). The new methods present themselves as promising alternatives for the quality control of reducing sugars in the dairy industry. They bring significant benefits, such as affordability, portability, and alignment with green chemistry principles. The sample data acquisition and processing time is only 2 min, enabling the execution of multiple analyses within a brief timeframe. This renders them particularly suitable for applications in routine analysis targeted at food quality control.

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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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