کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1231053 1495200 2016 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linear model correction: A method for transferring a near-infrared multivariate calibration model without standard samples
ترجمه فارسی عنوان
اصلاح مدل خطی: یک روش برای انتقال یک مدل کالیبراسیون چند متغیره نزدیک به مادون قرمز بدون نمونه های استاندارد
کلمات کلیدی
طیف سنجی نزدیک به مادون قرمز، کالیبراسیون چند متغیره، انتقال کالیبراسیون، اصلاح مدل خطی، حداقل مربعات جزئی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• The method for calibration transfer without standard samples is proposed.
• The spectra measured on different instruments are linearly correlated.
• The models constructed by spectra from different instruments are similar.
• Constrained optimization method is used to transfer the primary model.
• The transferred model is similar to the primary model in profile.

Calibration transfer is essential for practical applications of near infrared (NIR) spectroscopy because the measurements of the spectra may be performed on different instruments and the difference between the instruments must be corrected. For most of calibration transfer methods, standard samples are necessary to construct the transfer model using the spectra of the samples measured on two instruments, named as master and slave instrument, respectively. In this work, a method named as linear model correction (LMC) is proposed for calibration transfer without standard samples. The method is based on the fact that, for the samples with similar physical and chemical properties, the spectra measured on different instruments are linearly correlated. The fact makes the coefficients of the linear models constructed by the spectra measured on different instruments are similar in profile. Therefore, by using the constrained optimization method, the coefficients of the master model can be transferred into that of the slave model with a few spectra measured on slave instrument. Two NIR datasets of corn and plant leaf samples measured with different instruments are used to test the performance of the method. The results show that, for both the datasets, the spectra can be correctly predicted using the transferred partial least squares (PLS) models. Because standard samples are not necessary in the method, it may be more useful in practical uses.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy - Volume 169, 5 December 2016, Pages 197–201
نویسندگان
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