کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4764876 | 1423853 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Dataset of Near-infrared spectroscopy measurement for amylose determination using PLS algorithms
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
In the dataset presented in this article, 168 rice samples comprising sixteen rice varieties (including Indica and Japonica sub species) from a Portuguese Rice Breeding Program obtained from three different sites along four seasons, and 11 standard rice varieties from International Rice Research Institute were characterised. The amylose concentration was evaluated based on iodine method, and the near infrared (NIR) spectra were determined. To assess the advantage of Near infrared spectroscopy, different rice varieties and specific algorithms based on Matlab software such as Standard Normal Variate (SNV), Multiple Scatter Calibration (MSC) and Savitzky-Golay filter were used for NIR spectra pre-processing.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Data in Brief - Volume 15, December 2017, Pages 389-396
Journal: Data in Brief - Volume 15, December 2017, Pages 389-396
نویسندگان
P. Sampaio, A. Soares, A. Castanho, A.S. Almeida, J. Oliveira, C. Brites,