KIT Biomedical Research, Koninklijk Instituut voor de Tropen/Royal Tropical Institute, Meibergdreef 39, 1105 AZ Amsterdam, Netherlands.
J Clin Microbiol. 2010 Nov;48(11):4235-8. doi: 10.1128/JCM.00569-10. Epub 2010 Aug 18.
We investigated the potential of two different electronic noses (EN; code named "Rob" and "Walter") to differentiate between sputum headspace samples from tuberculosis (TB) patients and non-TB patients. Only samples from Ziehl-Neelsen stain (ZN)- and Mycobacterium tuberculosis culture-positive (TBPOS) sputum samples and ZN- and culture-negative (TBNEG) samples were used for headspace analysis; with EN Rob, we used 284 samples from TB suspects (56 TBPOS and 228 TBNEG samples), and with EN Walter, we used 323 samples from TB suspects (80 TBPOS and 243 TBNEG samples). The best results were obtained using advanced data extraction and linear discriminant function analysis, resulting in a sensitivity of 68%, a specificity of 69%, and an accuracy of 69% for EN Rob; for EN Walter, the results were 75%, 67%, and 69%, respectively. Further research is still required to improve the sensitivity and specificity by choosing more selective sensors and type of sampling technique.
我们研究了两种不同的电子鼻（EN；代号为“Rob”和“Walter”）在区分结核分枝杆菌（TB）患者和非 TB 患者的痰液顶空样本方面的潜力。仅使用萋-尼氏染色（ZN）和分枝杆菌培养阳性（TBPOS）痰液样本以及 ZN 和培养阴性（TBNEG）样本进行顶空分析；使用 EN Rob 分析了 284 份 TB 疑似患者样本（56 份 TBPOS 和 228 份 TBNEG 样本），使用 EN Walter 分析了 323 份 TB 疑似患者样本（80 份 TBPOS 和 243 份 TBNEG 样本）。通过先进的数据提取和线性判别函数分析获得了最佳结果，EN Rob 的灵敏度为 68%，特异性为 69%，准确性为 69%；EN Walter 的结果分别为 75%、67%和 69%。通过选择更具选择性的传感器和采样技术类型，进一步的研究仍在进行中，以提高灵敏度和特异性。
