ＮＩＲＳとアクアフォトミクス法を用いた唾液と乳房組織による乳牛の乳房炎の診断法

这项研究进行了47个月，目的是利用唾液和乳房组织的近红外光谱，以一种完全无创的方式找到奶牛乳腺炎诊断的新方法。分析表明，唾液光谱不能检测疾病，但乳腺组织光谱信息丰富。这项研究扩大到收集牛奶样本，除了检测乳腺炎，还包括检测排卵期和怀孕，以及测量牛奶成分。利用牛奶和乳房光谱进行判别分析和回归分析，目的是检测疾病和生理状态。此外，还尽可能地测定了脂肪酸含量。以前人们并不知道，可以根据近红外光谱和水与脂肪酸的相互作用来确定单个脂肪酸的含量。研究期间产生了几篇综述论文，原创科学文章和书籍章节，其中介绍了水相组学原理，水相组学分析方法以及研究员在完成指定作业时产生的原创科学发现，预计将在不久的将来发表。在该研究员完成奖学金后，合作继续进行。

This research was performed during 47 months with the goal of finding a novel way of mastitis diagnosis in dairy cows in a completely non-invasive manner using near infrared spectra of saliva and udder tissue. The analysis showed that spectra of saliva could not allow the detection of disease, but the udder tissue spectra were informationally rich. The research was expanded to collect also milk samples, and to include, beside detection of mastitis, detection of ovulation period and pregnancy and measurements of milk components. Discrimination analysis and regression analysis with goals of detection of disease and physiological states was performed using milk and udder spectra. In addition, measurements of fatty acids content was detected as possible. It was not previously known that individual fatty acids content can be determined based on the near infrared spectra and water-fatty acids interactions. The research period resulted in several review papers, original scientific articles and book chapters which presented aquaphotomics principles, aquaphotomics analytical methodology as well as original scientific findings resulted while fellow was working on given assignments which are expected to be published in near future. The collaboration was continued after the fellow completed the fellowship.