高效多底物检测与多元分析方法研究进展

doi:10.6023/A17120555

化学学报 ›› 2018, Vol. 76 ›› Issue (4): 237-245.DOI: 10.6023/A17120555 上一篇下一篇

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高效多底物检测与多元分析方法研究进展

叶常青^a, 陈硕然^a, 李风煜^b, 葛婕^a, 勇沛怡^a, 秦萌^b, 宋延林^b

a 苏州科技大学绿色印刷纳米光子工程技术研究中心江苏省环境功能材料重点实验室苏州 215009;
b 中国科学院化学研究所中国科学院绿色印刷重点实验室北京 100190

投稿日期:2017-12-26 发布日期:2018-02-26
通讯作者: 李风煜, 宋延林 E-mail:forrest@iccas.ac.cn;ylsong@iccas.ac.cn
作者简介:叶常青,主要从事上转换材料及光子晶体材料应用研究;李风煜,主要从事高效复杂系统分析、聚合物光子晶体与纳米料打印功能器件研究;宋延林,中国科学院化学研究所研究员、博士生导师,中国科学院绿色印刷重点实验室主任.主要从事信息功能材料、纳米功能材料与绿色印刷技术研究.
基金资助:
项目受江苏省自然科学基金-优秀青年基金（No.BK20170065），江苏省自然科学基金（No.BK20160358）；江苏省高校自然科学研究重大项目（No.17KJA430016）；江苏省“六大人才高峰”（No.XCL-79）；江苏高校“青蓝工程”；国家自然科学基金（Nos.51603141，51473172，51473173）和中科院战略性先导科技专项（No.XDA09020000）资助.

Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis

Ye Changqing^a, Chen Shuoran^a, Li Fengyu^b, Ge Jie^a, Yong Peiyi^a, Qin Meng^b, Song Yanlin^b

a Research Center for Green Printing Nanophotonic Materials, Suzhou University of Science and Technology, Jiangsu Key Laboratory for Environmental Functional Materials, Suzhou 215009;
b Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190

Received:2017-12-26 Published:2018-02-26
Contact: 10.6023/A17120555 E-mail:forrest@iccas.ac.cn;ylsong@iccas.ac.cn
Supported by:
Project supported by Natural Science Foundation of Jiangsu Province-Excellent Youth Foundation (No. BK20170065), Natural Science Foundation of Jiangsu Province (No. BK20160358), Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (No. 17KJA430016), Six Talent Summits Project of Jiangsu Province (No.XCL-79), Qing Lan Project, the National Natural Science Foundation of China (Nos. 51603141, 51473172, 51473173) and the "Strategic Priority Research Program" of Chinese Academy of Sciences (No. XDA09020000).

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摘要/Abstract

传统基于锁钥模型的“一对一”响应的化学检测方式，随着时代发展已经越来越不能满足人们对复杂体系的检测需求.正交检测阵列通过对不同被检测物的差异化信息进行分析，可以获得尽可能多的响应信息，从而实现对多底物的识别检测.多底物检测的关键是要获得尽量多的差异化传感信息.由于存在对探针需求种类量多、合成制备过程复杂、探针有效性筛选效率低等缺点，传统“多对多”方式的多元分析方法，在实际应用过程中显现出巨大的局限性.受人类感官系统的启发，发展“单对多”的高效多底物检测分析手段，将会是未来能真正走向应用的重要发展方向.从化学信息挖掘、物理信号放大与集成器件设计三个方面，针对如何提高多底物复杂分析的能力，总结简述了近期高效多底物检测与多元分析方法的研究进展.

关键词: 多底物检测, 高灵敏检测, 光子晶体, 阵列芯片, 动态分析

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 com-plicated 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.

Key words: multi-analysis, high-performance detection, photonic crystal, sensor array chip, dynamic analysis

引用此文

叶常青, 陈硕然, 李风煜, 葛婕, 勇沛怡, 秦萌, 宋延林. 高效多底物检测与多元分析方法研究进展[J]. 化学学报, 2018, 76(4): 237-245.

Ye Changqing, Chen Shuoran, Li Fengyu, Ge Jie, Yong Peiyi, Qin Meng, Song Yanlin. Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis[J]. Acta Chimica Sinica, 2018, 76(4): 237-245.

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高效多底物检测与多元分析方法研究进展

Research Progress of High-performance Multi-analyte Recognitions and Multivariate Analysis

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