Literature DB >> 29654337

Rapid recognition of volatile organic compounds with colorimetric sensor arrays for lung cancer screening.

Xianhua Zhong1, Dan Li1, Wei Du, Mengqiu Yan1, You Wang1, Danqun Huo2, Changjun Hou3.   

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.

Entities:  

Keywords:  Chemo-responsive; Classification; Colorimetric array; Lung cancer; Pattern recognition; VOCs

Mesh:

Substances:

Year:  2018        PMID: 29654337     DOI: 10.1007/s00216-018-0948-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  7 in total

1.  A DNA based visual and colorimetric aggregation assay for the early growth factor receptor (EGFR) mutation by using unmodified gold nanoparticles.

Authors:  Santheraleka Ramanathan; Subash C B Gopinath; M K Md Arshad; Prabakaran Poopalan; Periasamy Anbu
Journal:  Mikrochim Acta       Date:  2019-07-18       Impact factor: 5.833

Review 2.  Breath Analysis: A Promising Tool for Disease Diagnosis-The Role of Sensors.

Authors:  Maria Kaloumenou; Evangelos Skotadis; Nefeli Lagopati; Efstathios Efstathopoulos; Dimitris Tsoukalas
Journal:  Sensors (Basel)       Date:  2022-02-06       Impact factor: 3.576

3.  Exploring potential biomarkers for lung adenocarcinoma using LC-MS/MS metabolomics.

Authors:  Liang Mo; Bing Wei; Renji Liang; Zhi Yang; Shouzhi Xie; Shengrong Wu; Yong You
Journal:  J Int Med Res       Date:  2020-04       Impact factor: 1.671

Review 4.  Early diagnosis of lung cancer: which is the optimal choice?

Authors:  Jing Ning; Tao Ge; Minlin Jiang; Keyi Jia; Lei Wang; Wei Li; Bin Chen; Yu Liu; Hao Wang; Sha Zhao; Yayi He
Journal:  Aging (Albany NY)       Date:  2021-02-11       Impact factor: 5.682

Review 5.  Superwettable Biosensor for Disease Biomarker Detection.

Authors:  Yun Jun Yang; Zhong Feng Gao
Journal:  Front Bioeng Biotechnol       Date:  2022-03-28

Review 6.  Volatolomics in healthcare and its advanced detection technology.

Authors:  Wenwen Hu; Weiwei Wu; Yingying Jian; Hossam Haick; Guangjian Zhang; Yun Qian; Miaomiao Yuan; Mingshui Yao
Journal:  Nano Res       Date:  2022-06-29       Impact factor: 10.269

Review 7.  Emerging non-invasive detection methodologies for lung cancer.

Authors:  Zhen Li; Jinian Shu; Bo Yang; Zuojian Zhang; Jingyun Huang; Yang Chen
Journal:  Oncol Lett       Date:  2020-03-12       Impact factor: 2.967

  7 in total

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