کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10559653 | 969644 | 2009 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Extending the working calibration ranges of four hexachlorocyclohexane isomers in gas chromatography-electron capture detector by radial basis function neural network
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کلمات کلیدی
LOQECDGRNNANNsRMSERBFHCHOLSLDRBPNNRBFNNRSDANNPCNBLOQsm/z - m / zS/N - S / NElectron capture detector - آشکارساز ضبط الکترونI.S. - است.internal standard - استاندارد داخلیElectron impact - تاثیر الکترونیanalysis of variance - تحلیل واریانسANOVA - تحلیل واریانس Analysis of varianceordinary least squares - حداقل مربعات معمولیRoot mean square error - ریشه میانگین خطای مربعSIM - سیم کارتRadial basis function neural network - شبکه عصبی تابع اساس شعاعیGeneralized neural network - شبکه عصبی مرکزیArtificial Neural Network - شبکه عصبی مصنوعیBack propagation neural network - شبکه عصبی پخش مستقیمartificial neural networks - شبکه های عصبی مصنوعیcoefficient of determination - ضریب تعیینCorrelation coefficient - ضریب همبستگیmass spectrometer - طیف سنج جرمیRadial basis function - عملکرد پایه شعاعیLODs - لد هاLod - لودLinear dynamic range - محدوده دینامیکی خطیlimit of quantification - محدودیت اندازه گیریlimit of detection - محدودیت تشخیصMass-to-charge ratio - نسبت جرم به شارژSignal-to-noise ratio - نسبت سیگنال به نویزselected ion monitoring - نظارت بر یون انتخاب شدهHexachlorocyclohexane - هگزا کلروسیکوه هگزینPentachloronitrobenzene - پنتا کلرنیتروبنزنGas chromatography - کروماتوگرافی گازی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Extending the working calibration ranges of four hexachlorocyclohexane isomers in gas chromatography-electron capture detector by radial basis function neural network Extending the working calibration ranges of four hexachlorocyclohexane isomers in gas chromatography-electron capture detector by radial basis function neural network](/preview/png/10559653.png)
چکیده انگلیسی
A radial basis function neural network (RBFNN) method was developed for the first time to model the nonlinear calibration curves of four hexachlorocyclohexane (HCH) isomers, aiming to extend their working calibration ranges in gas chromatography-electron capture detector (GC-ECD). Other 14 methods, including seven parametric curve fitting methods, two nonparametric curve fitting methods, and five other artificial neural network (ANN) methods, were also developed and compared. Only the RBFNN method, with logarithm-transform and normalization operation on the calibration data, was able to model the nonlinear calibration curves of the four HCH isomers adequately. The RBFNN method accurately predicted the concentrations of HCH isomers within and out of the linear ranges in certified test samples. Furthermore, no significant difference (p > 0.05) was found between the results of HCH isomers concentrations in water samples calculated with RBFNN method and ordinary least squares (OLS) method (R2 > 0.9990). Conclusively, the working calibration ranges of the four HCH isomers were extended from 0.08-60 ng/ml to 0.08-1000 ng/ml without sacrificing accuracy and precision by means of RBFNN. The outstanding nonlinear modeling capability of RBFNN, along with its universal applicability to various problems as a “soft” modeling method, should make the method an appealing alternative to traditional modeling methods in the calibration analyses of various systems besides the GC-ECD.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Talanta - Volume 79, Issue 3, 15 August 2009, Pages 916-925
Journal: Talanta - Volume 79, Issue 3, 15 August 2009, Pages 916-925
نویسندگان
Yanfei Chen, Jin He, Jibin Zhang, Ziniu Yu,