| Title |
Rapid recognition of volatile organic compounds with colorimetric sensor arrays for lung cancer screening
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, April 2018
|
| DOI | 10.1007/s00216-018-0948-3 |
| Pubmed ID | |
| Authors |
Xianhua Zhong, Dan Li, Wei Du, Mengqiu Yan, You Wang, Danqun Huo, Changjun Hou |
| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 8 | 12% |
| Researcher | 8 | 12% |
| Student > Bachelor | 6 | 9% |
| Other | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 24 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 14% |
| Chemistry | 9 | 14% |
| Medicine and Dentistry | 6 | 9% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Chemical Engineering | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 29 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 May 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,061
of 9,619 outputs
Outputs of similar age
#251,264
of 342,076 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#91
of 177 outputs
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