中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis

文献类型:期刊论文

作者Ye Changqing1; Chen Shuoran1; Li Fengyu2; Ge Jie1; Yong Peiyi1; Qin Meng2; Song Yanlin2
刊名ACTA CHIMICA SINICA
出版日期2018-04-15
卷号76期号:4页码:237-245
ISSN号0567-7351
关键词Multi-analysis High-performance Detection Photonic Crystal Sensor Array Chip Dynamic Analysis
DOI10.6023/A17120555
英文摘要The traditional "lock and key" sensor models pursue the "one to one" sensing response for the specific testing and the low limitation of detection, which neglect the practical sample detecting application with multi-analytes and complex contains. Utilizing multi-sensor compounds, the sensor array chip offers multiplex differential sensing response signal to process the multi-analytes discrimination. The critical requirement for successful multi-analyte recognition is to acquire abundant sensing information. However, the "multi to multi" sensor chip needs large numbers of serial probe compounds, which involve complicated chemical synthesis and valid compound screening. Inspired by the human sense organ, scientists developed various "cross-reactive" sensor arrays. Here, The recent research progress of multi-analysis and "one to multi" high-efficient detection were introduced. From chemical information excavation, physical signal enhancement, devices integration design, we summarize and forecast the multi-analysis advancement and intelligent sensors.
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000442405200001
源URL[http://ir.iccas.ac.cn/handle/121111/42441]  
专题中国科学院化学研究所
通讯作者Li Fengyu; Song Yanlin
作者单位1.Suzhou Univ Sci & Technol, Jiangsu Key Lab Environm Funct Mat, Res Ctr Green Printing Nanophoton Mat, Suzhou 215009, Peoples R China
2.Chinese Acad Sci, Inst Chem, Key Lab Green Printing, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Ye Changqing,Chen Shuoran,Li Fengyu,et al. Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis[J]. ACTA CHIMICA SINICA,2018,76(4):237-245.
APA Ye Changqing.,Chen Shuoran.,Li Fengyu.,Ge Jie.,Yong Peiyi.,...&Song Yanlin.(2018).Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis.ACTA CHIMICA SINICA,76(4),237-245.
MLA Ye Changqing,et al."Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis".ACTA CHIMICA SINICA 76.4(2018):237-245.

入库方式: OAI收割

来源:化学研究所

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。