| 化学传感器阵列的计算机数据分析方法和发展趋势 |
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| 引用本文： | 陈四海,周敬良.化学传感器阵列的计算机数据分析方法和发展趋势[J].化学传感器,2008,28(4):22-26. |
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| 作者姓名： | 陈四海 周敬良 |
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| 作者单位： | 湖南大学化学化工学院,化学/生物传感与计量学国家重点实验室,湖南长沙,410082 |
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| 摘 要： | 化学传感器阵列是由一系列具有非特异性、低选择性、交叉敏感性和稳定性的化学传感器组成的分析仪器.作为利用化学传感器阵列进行准确可靠的定性和定量分析所不可或缺的条件,合适的模式识别和多元校正等数据处理方法已经成为化学传感器阵列的有机组成部分.该文着重介绍了常用的化学传感器阵列数据的计算机处理方法,并且展望了该领域的发展趋势.
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| 关 键 词： | 化学传感器阵列 计算机数据分析 模式识别 多元校正 趋势 |
Computer data analysis for chemical sensor array devices:methods and advances |
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| Chen Si-hai,Zhou Jing-liang.Computer data analysis for chemical sensor array devices:methods and advances[J].Chemical Sensors,2008,28(4):22-26. |
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| Authors: | Chen Si-hai Zhou Jing-liang |
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| Affiliation: | Chen Si-hai,Zhou Jing-liang(State Key Laboratory of Chemo/Biosensing , Chemometrics,College of Chemistry & Chemical Engineering,Hunan University,Changsha 410082,China) |
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| Abstract: | A chemical sensor array is an analytical instrument consisting of an array of chemical sensors with non-specificity,low selectivity,cross-selectivity and stability.As an integral part of a chemical sensor array,selecting the appropriate pattern recognition or/and multivariate calibration methods for data analysis is indispensable to perform qualitative and quantitative analysis precisely and reliably by a chemical sensor array.The present article focuses on the widely used methods for computer data analysis... |
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| Keywords: | chemical sensor array computer data analysis pattern recognition multivariate calibration trends |
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