摘要
采用多指示剂聚合构成的离子分析物识别器 ,加上人工神经网络数据处理 ,构成一种新型宽范围离子分析识别技术 ,能有效扩大对离子的敏感范围 ,解决光纤化学传感器普遍存在的识别范围小的缺点。
In this paper, an analytical technique for ion recognition in the wide range of concentration is proposed by using an ion detector made of polymerized multiple indicators and an artificial neural network for data treatment. This approach can broaden the ion detection range of traditional indicators, and hence improves the sensitivity of most fiber optical chemical sensors. Verification on the detection of hydrogen ions gave fairly good results.
出处
《分析测试学报》
CAS
CSCD
北大核心
2001年第1期33-36,共4页
Journal of Instrumental Analysis
基金
电子科学研究院基金资助项目 (DJ3.5.8.3)