Rapid detection of microbial spoilage in milk using a portable Raman spectrometer coupled with user-friendly software

牛奶是我们饮食中的重要组成部分，含有多种营养素。牛奶的质量控制是 因此至关重要。目前检测牛奶微生物腐败率的方法有 耗时、劳动密集型，需要训练有素的人员。作为一种非破坏性工具，拉曼 光谱分析与化学计量学分析相结合是解决这一技术挑战的理想选择 乳制品行业。便携式拉曼光谱仪的出现进一步方便了现场和现场的拉曼光谱测量 牛奶微生物腐败的检测。UBC食品科学公司和UBC食品科学公司合作的目标 Burton Software Inc.的主要工作如下：1)将便携式拉曼光谱仪应用于化学物质的快速指纹分析 2)应用化学计量学分析来确定牛奶在微生物腐败阶段的水平 牛奶中的微生物腐败；3)将收集的拉曼光谱纳入ICICLE计划(由开发 Burton Software Inc.)用于构建一个用户友好的界面来报告牛奶中的微生物变质情况。 将采用微生物平板法测定每种牛奶的活细菌总数。 微生物腐烂过程中的样品和酸碱值将相应记录。这些结果将作为参考 基于拉曼光谱的化学计量学模型的构建价值。收集到的拉曼光谱 然后将其整合到ICICLE程序中，以构建一个用户友好的界面，用于自动报告 奶制品中潜在的微生物腐败。这项新技术有可能降低成本和时间。 牛奶微生物腐败率的测定，并最终使不列颠哥伦比亚省和加拿大受益，增加消费者 安全，降低产品相关风险。

Milk is an important constituent of our diet containing a variety of nutrients. Quality control of milk is therefore of paramount importance. The current methods for the determination of milk microbial spoilage are time consuming, labor-intensive, and require highly-trained personnels. As a nondestructive tool, Raman spectroscopy coupled with chemometric analysis is an ideal candidate to address this technique challenge in dairy industry. The availability of portable Raman spectrometer further facilitates the in-field and on-site detection of milk microbial spoilage. The objectives of this collaboration between UBC Food Science and Burton Software Inc. are as follows: 1) to apply portable Raman spectrometer for rapid fingerprinting chemical profiles of milk during the stage of microbial spoilage; 2) to apply chemometric analysis to define the level of microbial spoilage in milk; 3) to incorporate collected Raman spectra into the Icicle program (developed by Burton Software Inc.) for the construction of a user-friendly interface to report microbial spoilage in milk. Microbiological plating method will be applied to determine the total viable bacterial counts for each milk sample during microbial spoilage and pH will be recorded accordingly. These results will be used as reference values for the construction of Raman spectroscopic based chemometric models. The collected Raman spectra will be then incorporated into Icicle program to construct a user-friendly interface for automatic report of potential microbial spoilage in milk products. This novel technique has the potential to reduce the cost and time of determination of milk microbial spoilage and ultimately benefit BC and Canada by increasing consumer safety and lowering product-related risks.