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Determination of botanical origin of Canadian honey products using Raman spectroscopy

使用拉曼光谱测定加拿大蜂蜜产品的植物来源

基本信息

批准号：
531388-2018
负责人：
Lu, Xiaonan
金额：
$ 1.82万
依托单位：
University of British Columbia
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2018
资助国家：
加拿大
起止时间：
2018-01-01 至 2019-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=658034
关键词：
Determination botanical origin Canadian honey

项目摘要

With high nutritional values and well-studied health benefits, honey has attracted extensive public attention and**become an important agri-food commodity worldwide. Since their commercial values and health benefits vary**among products derived from different botanical origins, intentional fraudulent labeling of botanical origin of**honey is highly prevalent. Current methods for identification of botanical origin are time-consuming,**labor-intensive, and not user-friendly. The objectives of this collaboration between UBC Food Safety and**Health Engineering Laboratory and Worker Bee Honey Company, a honey company located in BC, are as**follows: 1) to differentiate Canadian unifloral honeys by their botanical origins based on Raman spectral**features and chemometric models; 2) to quantify botanical sources in Canadian polyfloral honeys based on**Raman spectral features and chemometric models. Honey samples will be directly collected from hives by**Worker Bee Honey Company across Canada and the botanical origin of the honey will be identified based on**the surrounding vegetation. Raman spectra of honey samples will be directly recorded with no sample**preparation, followed by constructing chemometric models for clustering, classification and quantification**analyses. A reference Raman spectral library for Canadian honey can therefore be generated and used for the**authentication of botanical origin of Canadian honey products. Overall, this study is positioned to benefit the**honey producers in Canada by developing a rapid, accurate and user-friendly method for the authentication of**honey products.

蜂蜜具有很高的营养价值和良好的健康益处，引起了公众的广泛关注，并成为全球重要的农业食品商品。由于它们的商业价值和健康益处在来自不同植物来源的产品中有所不同，故意欺诈性地标记 ** 蜂蜜的植物来源非常普遍。目前用于鉴定植物来源的方法是耗时的，** 劳动密集型的，并且不是用户友好的。UBC食品安全和 ** 健康工程实验室与位于BC省的蜂蜜公司Worker Bee Honey Company之间的合作目标如下：1）基于拉曼光谱 ** 特征和化学计量模型，通过植物来源区分加拿大单花蜂蜜; 2）基于 ** 拉曼光谱特征和化学计量模型，量化加拿大多花蜂蜜中的植物来源。蜂蜜样本将由 ** 加拿大工人蜜蜂蜂蜜公司直接从蜂箱中收集，蜂蜜的植物来源将根据 ** 周围的植被进行鉴定。蜂蜜样品的拉曼光谱将被直接记录，无需样品 ** 制备，随后构建用于聚类、分类和定量 ** 分析的化学计量学模型。因此，可以生成加拿大蜂蜜的参考拉曼光谱库，并用于加拿大蜂蜜产品的植物来源的 ** 认证。总的来说，这项研究旨在通过开发一种快速，准确和用户友好的方法来认证 ** 蜂蜜产品，从而使加拿大的 ** 蜂蜜生产商受益。