首页> 外文会议>International Symposium on Olfaction and Electronic Nose >Predictive Detection of Tuberculosis using Electronic Nose Technology
【24h】

Predictive Detection of Tuberculosis using Electronic Nose Technology

机译:用电子鼻技术预测核分病的预测检测

获取原文

摘要

The adaptation and use of a Bloodhound ST214 electronic nose to rapidly detect TB in sputum samples has been discussed in the past, with some promising results being obtained in 2007. Some of the specific VOC's associated with Mycobacteria tuberculosis organisms are now being discovered and a paper was published in 2008, but the method of predicting the presence of TB in sputum samples using the VOC biomarkers has yet to be fully optimised. Nevertheless, with emphasis on the sampling techniques and with new data processing techniques to obtain consistent results progress is being made Sensitivity and specificity levels for field detection of TB have been set by WHO at a minimum level of 85% and 95% respectively, and the e-nose technique is working towards these figures. In a series of experiments carried out in Mbeya, Tanzania, Africa, data from a full 5 days of sampling was combined giving a total of 248 sputum samples analysed. From the data obtained we can report results that show specificities and sensitivities in the 70-80% region when actually predicting the presence of TB in unknown sputum samples. The results are a further step forward in the rapid detection of TB in the clinics in developing countries and show continued promise for future development of an optimised instrument for TB prediction.
机译:过去已经讨论了血迹ST214电子鼻的适应和使用在痰液样本中迅速检测到TB,在2007年获得了一些有希望的结果。现在正在发现一些与分枝杆菌结核病生物相关的一些特定VOC和一篇论文已于2008年发表,但使用VOC生物标志物预测痰液样品中Tb存在的方法尚未得到完全优化。然而,强调采样技术和新的数据处理技术获得一致的结果,正在进行对TB的现场检测的敏感性,并且通过谁分别为85%和95%的最低水平设定了TB的特异性水平。电子鼻技术正在努力朝这些数字工作。在一系列在MBEYA,坦桑尼亚,非洲进行的一系列实验中,组合来自完整5天的抽样的数据,共组合共有248个痰样品。从获得的数据中,当实际上预测未知痰样品中的TB存在时,我们可以报告显示70-80%区域中的特异性和敏感性的结果。结果是在发展中国家诊所的快速检测到TB的快速检测,并持续承诺未来发展TB预测的优化仪器。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号