Fourier Transform Infrared Spectroscopy Use in Honey Characterization and Authentication: A systematic review

IF 2.6 Q2 FOOD SCIENCE & TECHNOLOGY ACS food science & technology Pub Date : 2024-07-30 DOI:10.1021/acsfoodscitech.4c00377
Joana C. Prata, Paulo Martins da Costa
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Abstract

Honey, due to its high demand, is a target for food fraud by adulteration (i.e., the addition of foreign sugars or syrups) or mislabeling of its botanical or geographical origins. Current analytical techniques used in its characterization are cumbersome and expensive and require skilled operators. The objective of this study was to conduct a systematic review of the use of Fourier Transform Infrared Spectroscopy (FTIR) as an easy and inexpensive technique to characterize honey. A total of 25 original manuscripts published between 2017 and 2023 manuscripts were selected. FTIR is a reliable technique that can be used in honey characterization without the need for a cumbersome sample preparation. Slight differences in infrared spectra peaks attributed to sugars (i.e., fructose, glucose, sucrose) and water allow differentiation of honey types and adulteration, requiring advanced data analysis (e.g., principal component analysis). Thus, wider use of FTIR in the routine characterization of honey’s composition requires the development of databases and automated spectral data analysis and further research on its applications.

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傅立叶变换红外光谱法在蜂蜜表征和鉴定中的应用:系统综述
由于需求量大,蜂蜜成为掺假(即添加外来糖或糖浆)或错误标注植物或地理来源的食品欺诈目标。目前用于分析其特征的分析技术繁琐、昂贵,而且需要熟练的操作人员。本研究的目的是对傅立叶变换红外光谱法(FTIR)作为一种简便、廉价的蜂蜜表征技术的使用情况进行系统回顾。共选取了 2017 年至 2023 年间发表的 25 篇原稿。傅立叶变换红外光谱是一种可靠的技术,可用于蜂蜜表征,无需繁琐的样品制备。由于糖类(即果糖、葡萄糖、蔗糖)和水的红外光谱峰值存在细微差别,因此可以区分蜂蜜类型和掺假情况,但需要进行高级数据分析(如主成分分析)。因此,要在蜂蜜成分的常规鉴定中更广泛地使用傅立叶变换红外光谱,需要开发数据库和自动光谱数据分析,并进一步研究其应用。
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