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    • 8. 发明申请
    • ANALYTE ION DETECTION METHOD AND DEVICE
    • 分析离子检测方法和装置
    • US20130304395A1
    • 2013-11-14
    • US13997123
    • 2011-12-22
    • Ravendra NaiduLiang WangZuliang ChenMegharaj Mallavarapu
    • Ravendra NaiduLiang WangZuliang ChenMegharaj Mallavarapu
    • G01N27/00
    • G01N27/00G01N27/333G06N3/084G06N3/126
    • The present invention relates to a method of assessing concentration of at least one analyte ion in a liquid, the method including contacting the liquid with a plurality of electrodes, each of which is configured to generate a signal in response to sensing a selected ion in the liquid; receiving the signal from each of the electrodes; processing the signal from each of the electrodes using a neural network algorithm residing on a processor that has been trained to calculate ion interference between the selected ion and other ions in the liquid sensed at one of the electrodes and/or electrode interference between ones of the electrodes sensing a same selected ion based on a result of a comparison of training data indicative of a known ionic concentration applied to the neural network algorithm and the known ionic concentration; compensating for said ion interference and/or said electrode interference; and assessing the concentration of the at least analyte ion in the liquid on the basis of a compensated output from the neural network algorithm.
    • 本发明涉及一种评估液体中至少一种分析物离子的浓度的方法,该方法包括使液体与多个电极接触,每个电极被配置为响应于感测所选择的离子而产生信号 液体; 从每个电极接收信号; 使用驻留在处理器上的神经网络算法来处理来自每个电极的信号,所述神经网络算法已被训练以计算在所选择的离子与在其中一个电极中检测到的液体中检测到的液体中的所选离子和其它离子之间的离子干扰 基于指示应用于神经网络算法的已知离子浓度的训练数据与已知离子浓度的比较的结果,检测相同选定离子的电极; 补偿所述离子干扰和/或所述电极干扰; 并且基于来自神经网络算法的补偿输出来评估液体中至少分析物离子的浓度。