کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1181058 1491551 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Qualitative and quantitative identification of nitrofen in terahertz region
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Qualitative and quantitative identification of nitrofen in terahertz region
چکیده انگلیسی

Terahertz time domain spectroscopy (THz-TDS) has been utilized as an available tool for the identification and analysis of compounds owing to its unique characters. The THz spectrum of nitrofen was detected and the comparison with other two solid pesticides (thiacloprid and acetamipyrid) was provided to demonstrate pesticide's unique characteristics in THz region. For the quantitative analysis of pesticide, we applied THz-TDS to detect nitrofen mixtures with different weight ratios, and employed partial least squares (PLS), interval PLS (iPLS), moving window PLS (mwPLS) and backward interval PLS (biPLS) algorithms to achieve the best analysis accuracy through a variable selection. The regression models were optimized by root mean square error of cross validation (RMSECV) in the calibration set, and the performance of models was evaluated according to the root mean square error of prediction (RMSEP) and correlation coefficient (R). Compared with the results of the other three methods, the biPLS model acquired the best performance with RMSEP = 0.4064, R = 0.9995.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 127, 15 August 2013, Pages 43–48
نویسندگان
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