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基于衰减全反射傅里叶变换红外光谱法检测添加糖浆的枫糖浆掺假的方法开发。

Development of a method based on ATR-FTIR spectroscopy to detect maple syrup adulterated with added syrups.

机构信息

Department of Food Science and Agricultural Chemistry, McGill University, Montreal, Canada.

Citadelle Coopérative, Plessisville, Canada.

出版信息

J Sci Food Agric. 2024 Feb;104(3):1768-1776. doi: 10.1002/jsfa.13073. Epub 2023 Nov 14.

Abstract

BACKGROUND

Food adulteration is a global concern, whether it takes place intentionally or incidentally. In Canada, maple syrup is susceptible to being adulterated with cheaper syrups such as corn, beet, cane syrups, and many more due to its high price and economic importance.

RESULTS

In this study, the use of attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy was investigated to detect maple syrups adulterated with 15 different sugar syrups at different concentration levels. The spectra were collected in the range of 4000-650 cm in the absorbance unit. These spectra were used to build six libraries and three models. A method that is capable of performing a qualitative library search using a similarity search, which is based on the first derivative correlation search algorithm, was developed. This method was further evaluated and proved to be able to capture adulterated and reject non-adulterated maple syrups, belonging to the color grades golden and amber maple syrups, with an accuracy of 93.9% and 92.3%, respectively. However, for the maple syrup belonging to the dark color grade, this method demonstrated low specificity of 33.3%, and for this reason it was only able to adequately detect adulterated samples from the non-adulterated ones with an accuracy of 81.4%.

CONCLUSION

This simple and rapid method has strong potential for implementation in different stages of the maple syrup supply chain for early adulteration detection, particularly for golden and amber samples. Further evaluation and improvements are required for the dark color grade. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

摘要

背景

食品掺假是一个全球性的问题,无论是有意还是无意的。在加拿大,由于枫糖浆价格昂贵且经济重要,很容易被玉米、甜菜、甘蔗糖浆等更便宜的糖浆掺假。

结果

在这项研究中,研究了衰减全反射傅里叶变换红外(ATR-FTIR)光谱法,以检测不同浓度水平下 15 种不同糖糖浆掺假的枫糖浆。在吸光度单位范围内采集了 4000-650 cm 的光谱。这些光谱被用于构建六个库和三个模型。开发了一种能够使用相似性搜索执行定性库搜索的方法,该方法基于一阶导数相关搜索算法。该方法进一步进行了评估,并证明能够准确捕获掺假的和非掺假的枫糖浆,对于金色和琥珀色枫糖浆的颜色等级,准确率分别为 93.9%和 92.3%。然而,对于深色等级的枫糖浆,该方法的特异性仅为 33.3%,因此仅能以 81.4%的准确率从非掺假样本中充分检测到掺假样本。

结论

这种简单快速的方法具有在枫糖浆供应链的不同阶段实施早期掺假检测的强大潜力,特别是对于金色和琥珀色的样本。对于深色等级,需要进一步评估和改进。© 2023 作者。《食品科学杂志》由 John Wiley & Sons Ltd 代表化学工业协会出版。

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