Volatolomics in healthcare and its advanced detection technology
文献类型：期刊论文
| 作者 | Hu, Wenwen1; Wu, Weiwei8; Jian, Yingying8; Haick, Hossam7; Zhang, Guangjian6; Qian, Yun3; Yuan, Miaomiao2; Yao, Mingshui4,5 |
| 刊名 | Nano Research
 |
| 出版日期 | 2022-09-01 |
| 卷号 | 15期号:9页码:8185-8213 |
| ISSN号 | 19980124 |
| 关键词 | Diagnosis - Electronic nose - Health care |
| DOI | 10.1007/s12274-022-4459-3 |
| 英文摘要 | Various diseases increasingly challenge the health status and life quality of human beings. Volatolome emitted from patients has been considered as a potential family of markers, volatolomics, for diagnosis/screening. There are two fundamental issues of volatolomics in healthcare. On one hand, the solid relationship between the volatolome and specific diseases needs to be clarified and verified. On the other hand, effective methods should be explored for the precise detection of volatolome. Several comprehensive review articles had been published in this field. However, a timely and systematical summary and elaboration is still desired. In this review article, the research methodology of volatolomics in healthcare is critically considered and given out, at first. Then, the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized. Thirdly, the advanced electronic nose and photonic nose technologies for volatile organic compounds (VOCs) detection are well introduced. The existed obstacles and future perspectives are deeply thought and discussed. This article could give a good guidance to researchers in this interdisciplinary field, not only understanding the cutting-edge detection technologies for doctors (medicinal background), but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists, materials scientists, electronics engineers, etc.[Figure not available: see fulltext.] 漏 2022, Tsinghua University Press. |
| 学科主题 | Volatile Organic Compounds |
| 项目编号 | This research is supported by National Numerical Windtunnel Project (No. NNW2020ZT2-A21), Marie Sklodowska-Curie Actions: Individual Fellowship (No. H2020-MSCA-IF) [898486], Key Research and Development Program of Shaanxi (Nos. 2022ZDLSF01-04 and 2020GXLH-Y-012), the National Natural Science Foundation of China (No. 81972488), and the Shenzhen Science and Technology Program (No. JCYJ20210324115209026). |
| 出版者 | Tsinghua University |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/61317]  |
| 作者单位 | 1.School of Aerospace Science and Technology, Xidian University, Xi鈥檃n; 730107, China 2.The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen; 518033, China 3.Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou; 310006, China 4.State Key Laboratory of Multi-phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing; 310006, China 5.Institute for Integrated Cell-Material Sciences, Kyoto University Institute for Advanced Study, Kyoto University, Kyoto; 606-8501, Japan 6.Department of Thoracic Surgery, The First Affiliated Hospital of Xi鈥檃n Jiaotong University, Xi鈥檃n; 710061, China 7.Faculty of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa; 3200002, Israel 8.Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi鈥檃n; 730107, China |
| 推荐引用方式 GB/T 7714 | Hu, Wenwen,Wu, Weiwei,Jian, Yingying,et al. Volatolomics in healthcare and its advanced detection technology[J]. Nano Research,2022,15(9):8185-8213. |
| APA | Hu, Wenwen.,Wu, Weiwei.,Jian, Yingying.,Haick, Hossam.,Zhang, Guangjian.,...&Yao, Mingshui.(2022).Volatolomics in healthcare and its advanced detection technology.Nano Research,15(9),8185-8213. |
| MLA | Hu, Wenwen,et al."Volatolomics in healthcare and its advanced detection technology".Nano Research 15.9(2022):8185-8213. |
入库方式： OAI收割
来源：过程工程研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。