Bruna Ramos de Souza Gomes, Maria Eduarda Bezerra Coutinho, Jandyson Machado Santos
{"title":"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","authors":"Bruna Ramos de Souza Gomes, Maria Eduarda Bezerra Coutinho, Jandyson Machado Santos","doi":"10.1007/s12161-024-02637-2","DOIUrl":null,"url":null,"abstract":"<div><p>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 <i>r</i> values (> 0.90) for analytical curves of mixtures of reducing sugars. The methods were validated within a linear range of 10–100 mg mL<sup>−1</sup> 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.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 8","pages":"1161 - 1170"},"PeriodicalIF":2.6000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Rapid, Simple and Low-Cost Methods for Quantification of Reducing Sugars in Cow Milk and Derivatives Using Smartphone Digital Images\",\"authors\":\"Bruna Ramos de Souza Gomes, Maria Eduarda Bezerra Coutinho, Jandyson Machado Santos\",\"doi\":\"10.1007/s12161-024-02637-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 <i>r</i> values (> 0.90) for analytical curves of mixtures of reducing sugars. The methods were validated within a linear range of 10–100 mg mL<sup>−1</sup> 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.</p></div>\",\"PeriodicalId\":561,\"journal\":{\"name\":\"Food Analytical Methods\",\"volume\":\"17 8\",\"pages\":\"1161 - 1170\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Analytical Methods\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12161-024-02637-2\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Analytical Methods","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12161-024-02637-2","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
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.
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.