I-Corps: Determination of syrup adulterants and geographical and floral origin of honey using chemometrics

I-Corps：使用化学计量学测定糖浆掺假物以及蜂蜜的地理和花卉起源

• 批准号: 2327747
• 负责人: Gerard Dumancas
• 金额: $ 5万
• 依托单位: University of Scranton
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-15 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2327747&HistoricalAwards=false
• 关键词: Corps; Determination; syrup; adulterants; geographical

The broader impact/commercial potential of this I-Corps project is in the area of honey adulteration detection. Honey adulteration which is the process of deliberately adding adulterants such as corn, cane, beet, and rice syrups in honey can have significant economic and organoleptic consequences. The proposed technology will allow honey importers, packers, and retailers, as well as food authentication agencies to quickly track the authenticity of their honey products at each step of the supply chain by quantifying the abovementioned adulterant syrups in a facile and convenient manner. This will significantly improve the product’s authenticity and traceability. Further, in situ testing for the presence of honey adulterants as well as floral and geographic fingerprinting will allow various honey market segments to demand the appropriate price for their pure honey products in the global market. With food fraud continuing to escalate globally, the food authenticity market is expected to grow to $8.3 billion (USD) by 2023. Adulterated honey constitutes 7% of food fraud cases, amounting to $581 million (USD) by 2023 in total market size disruption.This I-Corps project is based on the development of a portable mid-infrared spectrometric device and a smartphone application system that can simultaneously quantify the presence of various syrups (i.e., corn, cane, beet, and rice) as well as sugar content (i.e., glucose, fructose, and sucrose) in honey in less than 2 minutes. Current methods for detecting these adulterants in honey are considered expensive, time consuming, archaic, and cumbersome. Most of these tests are being conducted via third-party laboratories using expensive and complex analytical equipment. The smartphone application system will contain the research group’s proprietary developed multivariate calibration system that can simultaneously quantify the presence of the aforementioned adulterants in honey in a facile, convenient, and affordable manner using the mid-infrared spectrometric device. Further, the multivariate calibration algorithmic system will also feature aspects related to determining the floral and geographical origin of honey.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这种I-Corps的更广泛的冲击/商业是蜂蜜的蜂蜜蜂蜜的蜂蜜蜂蜜的蜂蜜蜂蜜的蜂蜜蜂蜜的蜂蜜蜂蜜的蜂蜜，蜂蜜的蜂蜜蜂蜜的蜂蜜蜂蜜蜂蜜蜂蜜。拟议的技术将允许蜂蜜进口商，包装工和零售商以及食品认证机构在供应链的每个步骤中快速跟踪其蜂蜜产品的真实性，以量化上述掺假糖浆将明显地对蜂蜜掺假物的现场测试显着，地理指纹将需要各种蜂蜜市场领域，要求纯净的蜂蜜产品L市场持续升级。粮食真实市场预计到2023年将增长83亿美元（USD）。占食品欺诈案件的7％，到2023年的总市场规模为5.81亿美元（USD）。在小于2个小型的蜂蜜中，量化各种Syrurup（即玉米，甘蔗，甜菜和大米）以及糖含量（即葡萄糖，果糖和蔗糖）的存在。蜂蜜被认为是昂贵的，古老的和繁琐的测试。蜂蜜在一个便捷的E中型光谱谱图中进一步，多元校准算法系统还将与确定NSF的花卉和地理位置源相关的方面，反映了NSF的Beanend值得使用Toundation Review Acts Seritiaria的套度评估。