Department of Chemistry, University of Reading, Whiteknights, Reading RG6 6DX, United Kingdom.
School of Agriculture, Policy and Development, University of Reading, Whiteknights, Reading RG6 6EU, United Kingdom.
J Agric Food Chem. 2023 Sep 20;71(37):13899-13905. doi: 10.1021/acs.jafc.3c01879. Epub 2023 Sep 7.
Detecting bovine tuberculosis (bTB) primarily relies on the tuberculin skin test, requiring two separate animal handling events with a period of incubation time (normally 3 days) between them. Here, we present the use of liquid atmospheric pressure (LAP)-MALDI for the identification of bTB infection, employing a three-class prediction model that was obtained by supervised linear discriminant analysis (LDA) and tested with bovine mastitis samples as disease-positive controls. Noninvasive collection of nasal swabs was used to collect samples, which were subsequently subjected to a short (<4 h) sample preparation method. Cross-validation of the three-class LDA model from the processed nasal swabs provided a sensitivity of 75.0% and specificity of 90.1%, with an overall classification accuracy of 85.7%. These values are comparable to those for the skin test, showing that LAP-MALDI MS has the potential to provide an alternative single-visit diagnostic platform that can detect bTB within the same day of sampling.
检测牛结核病（bTB）主要依赖于结核菌素皮肤试验，这需要两次单独的动物处理事件，两次之间有一定的潜伏期（通常为 3 天）。在这里，我们介绍了使用大气压液体（LAP）-MALDI 来鉴定 bTB 感染，采用了通过监督线性判别分析（LDA）获得的三分类预测模型，并使用牛乳腺炎样本作为疾病阳性对照进行了测试。采用非侵入性的鼻腔拭子收集样本，随后采用短（<4 小时）的样本制备方法。对处理后的鼻腔拭子进行三分类 LDA 模型的交叉验证，得到了 75.0%的敏感性和 90.1%的特异性，总分类准确率为 85.7%。这些值与皮肤试验相当，表明 LAP-MALDI MS 有可能提供一种替代的单次就诊诊断平台，能够在采样当天检测出 bTB。
