Brazilian honey: Metabolomic analysis and characterization by 1D- and 2D-nuclear magnetic resonance (NMR) spectroscopy and chemometrics

IF 8 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Food Research International Pub Date : 2025-04-01 Epub Date: 2025-02-28 DOI:10.1016/j.foodres.2025.116104
Aline Nunes , Mauricio Luis Sforça , Silvana Aparecida Rocco , Caroline Schmitz , Gadiel Zilto Azevedo , Beatriz Rocha dos Santos , Sidnei Moura , Marcelo Maraschin
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Abstract

Honey is a complex matrix that contains a wide range of compounds. This rich composition is influenced by diverse environmental factors, including geographic and botanical origin. Honey has been among the most commonly tampered foods worldwide, with improvements in techniques to do it. Accordingly, there is a recurring need for new techniques and methods to assess the honey's metabolic profiles to distinguish adulterated from non-tampered samples. In this sense, this study aimed to determine the chemical profiles of honey samples from the eleven agroecological zones of the Santa Catarina State (southern Brazil), collected in the 2019–2020 and 2020–2021 harvest seasons through 1D- and 2D-NMR. As a result, a series of metabolites was identified and their concentrations measured in samples. Further, the metabolomic dataset was used for building descriptive models through chemometric techniques, in order to discriminate honey samples according to their geographic and botanical origins and harvest season effect. Twenty-one metabolites were identified, with predominance of glucose and fructose in all samples. Two other carbohydrates (sucrose and maltose) were identified in lower concentrations, in addition to amino acids, organic acids, ketone, alcohol, ester, and alkaloids. No discrepant 1H NMR resonances that could indicate fraud were detected in the spectra. By PCA, it was possible to find clusters with similar geographic origins, i.e., agroecological zones, and botanical origins. In this regard, patterns of composition were detected for honey samples of Eucalyptus spp. and Hovenia dulcis species, which presented acetoin and kynurenate, respectively, in higher concentrations. Taking together, the results allowed demonstrating that NMR spectroscopy coupled to chemometrics is an effective experimental approach to characterize Brazilian honey regarding their geographic origin and season of collection, despite the huge floral diversity available in that country for bee forage.

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巴西蜂蜜:通过1D和2d核磁共振(NMR)光谱和化学计量学进行代谢组学分析和表征
蜂蜜是一种含有多种化合物的复杂基质。这种丰富的成分受到多种环境因素的影响,包括地理和植物来源。随着技术的进步,蜂蜜一直是世界上最常见的篡改食品之一。因此,需要新的技术和方法来评估蜂蜜的代谢特征,以区分掺假和未篡改的样品。从这个意义上说,本研究旨在通过1D- nmr和2D-NMR确定2019-2020年和2020-2021年收获季节从圣卡塔琳娜州(巴西南部)11个农业生态区域收集的蜂蜜样品的化学特征。结果,鉴定了一系列代谢物并测量了它们在样品中的浓度。此外,代谢组学数据集通过化学计量学技术用于建立描述性模型,以便根据其地理和植物来源以及收获季节的影响来区分蜂蜜样品。鉴定出21种代谢物,所有样品中以葡萄糖和果糖为主。除了氨基酸、有机酸、酮类、醇类、酯类和生物碱外,还鉴定出两种其他碳水化合物(蔗糖和麦芽糖)的浓度较低。在光谱中没有检测到可能表明欺诈的差异1H NMR共振。通过主成分分析,可以找到具有相似地理起源的集群,即农业生态区和植物起源。在这方面,我们检测了桉树(Eucalyptus sp .)和土蜂(Hovenia dulcis)两种蜂蜜样品的组成规律,它们分别含有较高浓度的乙托因和犬尿酸酸酯。综上所述,研究结果表明,核磁共振光谱与化学计量学相结合是一种有效的实验方法,可以表征巴西蜂蜜的地理来源和采集季节,尽管该国的蜜蜂饲料中有大量的花卉多样性。
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来源期刊
Food Research International
Food Research International 工程技术-食品科技
CiteScore
12.50
自引率
7.40%
发文量
1183
审稿时长
79 days
期刊介绍: Food Research International serves as a rapid dissemination platform for significant and impactful research in food science, technology, engineering, and nutrition. The journal focuses on publishing novel, high-quality, and high-impact review papers, original research papers, and letters to the editors across various disciplines in the science and technology of food. Additionally, it follows a policy of publishing special issues on topical and emergent subjects in food research or related areas. Selected, peer-reviewed papers from scientific meetings, workshops, and conferences on the science, technology, and engineering of foods are also featured in special issues.
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