Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Secretion, purification, and characterization of a recombinant Aspergillus oryzae tannase in Pichia pastoris"    Next AbstractPBP1 plays key roles in sex pheromone reception of the fall armyworm »

Anal Bioanal Chem


Title:Rapid recognition of volatile organic compounds with colorimetric sensor arrays for lung cancer screening
Author(s):Zhong X; Li D; Du W; Yan M; Wang Y; Huo D; Hou C;
Address:"Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China. Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China. huodq@cqu.edu.cn. Key Laboratory of Biorheology Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China. houcj@cqu.edu.cn"
Journal Title:Anal Bioanal Chem
Year:2018
Volume:20180413
Issue:16
Page Number:3671 - 3681
DOI: 10.1007/s00216-018-0948-3
ISSN/ISBN:1618-2650 (Electronic) 1618-2642 (Linking)
Abstract:"Volatile organic compounds (VOCs) in breath can be used as biomarkers to identify early stages of lung cancer. Herein, we report a disposable colorimetric array that has been constructed from diverse chemo-responsive colorants. Distinguishable difference maps were plotted within 4 min for specifically targeted VOCs. Through the consideration of various chemical interactions with VOCs, the arrays successfully discriminate between 20 different volatile organic compounds in breath that are related to lung cancer. VOCs were identified either with the visualized difference maps or through pattern recognition with an accuracy of at least 90%. No uncertainties or errors were observed in the hierarchical cluster analysis (HCA). Finally, good reproducibility and stability of the array was achieved against changes in humidity. Generally, this work provides fundamental support for construction of simple and rapid VOC sensors. More importantly, this approach provides a hypothesis-free array method for breath testing via VOC profiling. Therefore, this small, rapid, non-invasive, inexpensive, and visualized sensor array is a powerful and promising tool for early screening of lung cancer. Graphical abstract A disposable colorimetric array has been developed with broadly chemo-responsive dyes to incorporate various chemical interactions, through which the arrays successfully discriminate 20 VOCs that are related to lung cancer via difference maps alone or chemometrics within 4 min. The hydrophobic porous matrix provides good stability against changes in humidity"
Keywords:Biomarkers/analysis Biosensing Techniques/economics/instrumentation/methods Breath Tests/*instrumentation/methods Cluster Analysis Colorimetry/economics/*instrumentation/methods Early Detection of Cancer/economics/*instrumentation/methods Equipment Design;
Notes:"MedlineZhong, Xianhua Li, Dan Du, Wei Yan, Mengqiu Wang, You Huo, Danqun Hou, Changjun eng GY2015-01/The workstation in Sichuan Province/ No. 81772290/The National Natural Science Foundation of China (NSFC)/ No. CYB17037/Chongqing Graduate Student Research Innovation Project/ Germany 2018/04/15 Anal Bioanal Chem. 2018 Jun; 410(16):3671-3681. doi: 10.1007/s00216-018-0948-3. Epub 2018 Apr 13"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 15-06-2024