应用传输红外光谱和偏最小二乘回归预测奶牛和肉牛初乳中免疫球蛋白 G 浓度。
Application of transmission infrared spectroscopy and partial least squares regression to predict immunoglobulin G concentration in dairy and beef cow colostrum.
机构信息
Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, PE, Canada.
Department of Animal Medicine, Division of Infectious Diseases, Faculty of Veterinary Medicine, Zagazig University, Zagazig City, Sharkia Province, Egypt.
出版信息
J Anim Sci. 2018 Mar 6;96(2):771-782. doi: 10.1093/jas/sky003.
The objective of this study was to explore the potential of transmission infrared (TIR) spectroscopy in combination with partial least squares regression (PLSR) for quantification of dairy and beef cow colostral immunoglobulin G (IgG) concentration and assessment of colostrum quality. A total of 430 colostrum samples were collected from dairy (n = 235) and beef (n = 195) cows and tested by a radial immunodiffusion (RID) assay and TIR spectroscopy. Colostral IgG concentrations obtained by the RID assay were linked to the preprocessed spectra and divided into combined and prediction data sets. Three PLSR calibration models were built: one for the dairy cow colostrum only, the second for beef cow colostrum only, and the third for the merged dairy and beef cow colostrum. The predictive performance of each model was evaluated separately using the independent prediction data set. The Pearson correlation coefficients between IgG concentrations as determined by the TIR-based assay and the RID assay were 0.84 for dairy cow colostrum, 0.88 for beef cow colostrum, and 0.92 for the merged set of dairy and beef cow colostrum. The average of the differences between colostral IgG concentrations obtained by the RID- and TIR-based assays were -3.5, 2.7, and 1.4 g/L for dairy, beef, and merged colostrum samples, respectively. Further, the average relative error of the colostral IgG predicted by the TIR spectroscopy from the RID assay was 5% for dairy cow, 1.2% for beef cow, and 0.8% for the merged data set. The average intra-assay CV% of the IgG concentration predicted by the TIR-based method were 3.2%, 2.5%, and 6.9% for dairy cow, beef cow, and merged data set, respectively.The utility of TIR method for assessment of colostrum quality was evaluated using the entire data set and showed that TIR spectroscopy accurately identified the quality status of 91% of dairy cow colostrum, 95% of beef cow colostrum, and 89% and 93% of the merged dairy and beef cow colostrum samples, respectively. The results showed that TIR spectroscopy demonstrates potential as a simple, rapid, and cost-efficient method for use as an estimate of IgG concentration in dairy and beef cow colostrum samples and assessment of colostrum quality. The results also showed that merging the dairy and beef cow colostrum sample data sets improved the predictive ability of the TIR spectroscopy.
本研究的目的是探索传输红外（TIR）光谱结合偏最小二乘回归（PLSR）在定量牛奶和牛肉牛初乳免疫球蛋白 G（IgG）浓度以及评估初乳质量方面的潜力。共采集了 430 份来自奶牛（n=235）和肉牛（n=195）的初乳样本，并通过放射免疫扩散（RID）试验和 TIR 光谱法进行了检测。通过 RID 试验获得的初乳 IgG 浓度与预处理光谱相关联，并分为综合和预测数据集。建立了三个 PLSR 校准模型：一个用于奶牛牛初乳，一个用于肉牛牛初乳，一个用于合并的奶牛和肉牛牛初乳。使用独立预测数据集分别评估每个模型的预测性能。基于 TIR 的检测法测定的 IgG 浓度与 RID 检测法测定的 IgG 浓度之间的 Pearson 相关系数分别为 0.84 用于奶牛牛初乳，0.88 用于肉牛牛初乳，0.92 用于合并的奶牛和肉牛牛初乳。通过 RID 和基于 TIR 的试验获得的初乳 IgG 浓度之间的差异平均值分别为 3.5、2.7 和 1.4 g/L 用于奶牛、肉牛和合并的初乳样本。此外，TIR 光谱法预测的初乳 IgG 相对于 RID 试验的平均相对误差分别为奶牛 5%、肉牛 1.2%和合并数据 0.8%。基于 TIR 的方法预测的 IgG 浓度的平均日内 CV%分别为 3.2%、2.5%和 6.9%用于奶牛牛、肉牛牛和合并数据集。使用整个数据集评估了 TIR 法在评估初乳质量方面的实用性，结果表明 TIR 光谱法准确地识别了 91%的奶牛牛初乳、95%的肉牛牛初乳以及 89%和 93%的合并奶牛和肉牛牛初乳样本的质量状况。结果表明，TIR 光谱法具有作为一种简单、快速和具有成本效益的方法的潜力，可用于估计牛奶和牛肉牛初乳样本中的 IgG 浓度和评估初乳质量。结果还表明，合并奶牛和肉牛牛初乳样本数据集提高了 TIR 光谱法的预测能力。
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