Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysis and Wavelength Selection Algorithm
Joint Authors
Zhang, Lin
Zhang, Baohua
Zhou, Jun
Gu, Baoxing
Tian, Guangzhao
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Uninformative biological variability elimination methods were studied in the near-infrared calibration model for predicting the soluble solids content of apples.
Four different preprocessing methods, namely, Savitzky-Golay smoothing, multiplicative scatter correction, standard normal variate, and mean normalization, as well as their combinations were conducted on raw Fourier transform near-infrared spectra to eliminate the uninformative biological variability.
Subsequently, robust calibration models were established by using partial least squares regression analysis and wavelength selection algorithms.
Results indicated that the partial least squares calibration models with characteristic variables selected by CARS method coupled with preprocessing of Savitzky-Golay smoothing and multiplicative scatter correction had a considerable potential for predicting apple soluble solids content regardless of the biological variability.
American Psychological Association (APA)
Zhang, Lin& Zhang, Baohua& Zhou, Jun& Gu, Baoxing& Tian, Guangzhao. 2017. Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysis and Wavelength Selection Algorithm. Journal of Analytical Methods in Chemistry،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1170096
Modern Language Association (MLA)
Zhang, Lin…[et al.]. Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysis and Wavelength Selection Algorithm. Journal of Analytical Methods in Chemistry No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1170096
American Medical Association (AMA)
Zhang, Lin& Zhang, Baohua& Zhou, Jun& Gu, Baoxing& Tian, Guangzhao. Uninformative Biological Variability Elimination in Apple Soluble Solids Content Inspection by Using Fourier Transform Near-Infrared Spectroscopy Combined with Multivariate Analysis and Wavelength Selection Algorithm. Journal of Analytical Methods in Chemistry. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1170096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170096