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质子转移反应质谱对肺癌患者呼气中特征性VOCs的筛选及研究

郭冰清 孙运 褚美娟 武隆丰 蒋学慧 汪曣 穆新林

分析测试学报2018,Vol.37Issue(3):263-268,6.
分析测试学报2018,Vol.37Issue(3):263-268,6.DOI:10.3969/j.issn.1004-4957.2018.03.001

质子转移反应质谱对肺癌患者呼气中特征性VOCs的筛选及研究

Dectection of Characteristic VOCs in Exhaled Breath of Lung Cancer Patients by Proton Transfer Reaction Mass Spectrometry

郭冰清 1孙运 1褚美娟 1武隆丰 2蒋学慧 1汪曣 3穆新林1

作者信息

  • 1. 天津大学精密仪器与光电子工程学院,天津300072
  • 2. 北京大学人民医院,北京100083
  • 3. 天津大学天津市生物医学检测技术与仪器重点实验室,天津300072
  • 折叠

摘要

Abstract

In this paper,a method was developed for the detection of characteristic VOCs in exhaled breath of lung cancer patients by proton transfer reaction mass spectrometry (PTR-MS).An improved breath analysis system was used for 32 normal volunteers and 40 lung cancer patients.The data were statistically analyzed by Mann-Whitney test and logistic regression.The results showed that analytes VOC 33,VOC 39 and VOC 45 might be the breath markers for lung cancer patients,while VOC 45 was significantly different between patients with small cell lung cancer and non-small cell lung cancer.The area derived from the receiver operating curve (AUC),under the logistic regression model,reached to 0.878,with the sensitivity and specificity of 85.5% and 63.5%,respectively,while through the Fisher discriminant model,the area from AUC reached to 0.822,with sensitivity and specificity of 82.5% and 62.5%,respectively.The two models were both statistically significant for lung cancer prediction.

关键词

肺癌/呼气标志物/质子转移反应质谱(PTR-MS)/挥发性有机物(VOCs)/非侵入式检测

Key words

lung cancer patients/breath biomarkers/PTR-MS/VOCs/non-invasive analysis

分类

化学化工

引用本文复制引用

郭冰清,孙运,褚美娟,武隆丰,蒋学慧,汪曣,穆新林..质子转移反应质谱对肺癌患者呼气中特征性VOCs的筛选及研究[J].分析测试学报,2018,37(3):263-268,6.

基金项目

国家重大科学仪器设备开发专项(2013YQ090875-2,2013YQ090875-7) (2013YQ090875-2,2013YQ090875-7)

天津市应用基础与前沿技术研究计划(15JCYBJC23300) (15JCYBJC23300)

分析测试学报

OA北大核心CSCDCSTPCD

1004-4957

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