Colorimetric Artificial Nose for Identification of Breath Volatile Organic Compounds of Patients with Lung Cancer  

作　　者：WU Yu HUO Danqun HOU Changjun FA Huanbao YANG Mei LUO Xiaogang 

机构地区：[1]Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P. R. China [2]Institute of Functional Materials, College of Chemistry and Pharmaceutical Engineering, Sichuan University of Science and Engineering, Zigong 643000, P R. China [3]College of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, P. R, China

出　　处：《Chemical Research in Chinese Universities》2014年第4期572-577,共6页高等学校化学研究（英文版）

基　　金：Supported by the National Natural Science Foundation of China（Nos.81171414, 81271930, 31171684）, the Key Technologies R＆D Program of China（No.2012BAI19B03）, the Doctoral Fund of Ministry of Education of China（No.20090191110030） and the Sharing Fund of Chongqing University＇s Large Equipment, China.

摘　　要：A novel and highly sensitive colorimetric sensor array was developed for the detection and identification of breath volatile organic compounds（VOCs） of patients with lung cancer.Employing dimeric metalloporphyrins,metallosalphen complexes,and chemically responsive dyes as the sensing elements,the developed sensor array of artificial nose shows a unique pattern of colorific changes upon its exposure to eight less-reactive VOCs and their mixture gas at a concentration of 735 nmol/L within 3 min.Potential of quantitative analysis of VOCs samples was proved.A good linear relationship of 490-3675 nmol/L was obtained for benzene vapor with a detection limit of 49 nmol/L（S/N=3）.Data analysis was carried out by Hierarchical cluster analysis（HCA） and principal component analysis（PCA）.Each category of breath VOCs clusters together in the PCA score plot.No errors in classification by HCA were observed in 45 trials.Additionaly,the colorimetric sensor array showed good reproducibility under the cyclic sensing experiments.These results demonstrate that the developed colorimetric artificial nose system is an excellent sensing platform for the identification and quantitative analysis of breath VOCs of patients with lung cancer.A novel and highly sensitive colorimetric sensor array was developed for the detection and identification of breath volatile organic compounds（VOCs） of patients with lung cancer.Employing dimeric metalloporphyrins,metallosalphen complexes,and chemically responsive dyes as the sensing elements,the developed sensor array of artificial nose shows a unique pattern of colorific changes upon its exposure to eight less-reactive VOCs and their mixture gas at a concentration of 735 nmol/L within 3 min.Potential of quantitative analysis of VOCs samples was proved.A good linear relationship of 490-3675 nmol/L was obtained for benzene vapor with a detection limit of 49 nmol/L（S/N=3）.Data analysis was carried out by Hierarchical cluster analysis（HCA） and principal component analysis（PCA）.Each category of breath VOCs clusters together in the PCA score plot.No errors in classification by HCA were observed in 45 trials.Additionaly,the colorimetric sensor array showed good reproducibility under the cyclic sensing experiments.These results demonstrate that the developed colorimetric artificial nose system is an excellent sensing platform for the identification and quantitative analysis of breath VOCs of patients with lung cancer.

关 键 词：Dimeric porphyrin Schiff base Colorimetric artificial nose Volatile organic compound 

分 类 号：O655[理学—分析化学] X51[理学—化学]