Published April 2018 | Version v1
Journal article

Identification of oil, sugar and crude fiber during tobacco (Nicotiana tabacum L.) seed development based on near infrared spectroscopy

  • 1. Seed Science Center, Institute of Crop Science, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058 (China)
  • 2. Yuxi Zhongyan Tobacco Seed Company Ltd., Yuxi 653100 (China)
  • 3. Yunnan Academy of Tobacco Agricultural Sciences, Yuxi 653100 (China)

Description

Highlights: • NIR study to examine biomass including oil, sugar and crude fiber during tobacco seed development to insure full use of tobacco seed. • The NIR technique could be rapid, accurate and easy insight into the tobacco seed development process. • The models could be used to develop a simple and quick instrument or may provide important guidance for tobacco biomass energy industry. - Abstract: Tobacco seeds are a potential feedstock for biofuels. To insure make full use of tobacco seed biomass, the present study was carried out to estimate seed oil, sugar and crude fiber during seed development through near infrared spectroscopy (NIRS) nondestructive determination. Four pre-processing methods, Savitzky-Goly after standard normal variate (SNV-SG), first Savitzky-Goly derivative after standard normal variate (SNV-SG-1stD), Savitzky-Goly after multiplicative scatter correction (MSC-SG) and first Savitzky-Goly derivative after multiplicative scatter correction (MSC-SG-1stD), were respectively performed to optimize the original spectra before establishment of the calibration models. Then linear partial least squares (PLS) and nonlinear least-squares support vector machine (LS-SVM) methods were utilized to develop the calibration models, in which the LS-SVM models were found to have better performance than PLS models. The best LS-SVM models of oil, sugar and crude fiber were established after pre-processed by MSC-SG-1st D. These results indicated that NIRS was suitable to rapidly and accurately analyze tobacco seed composition.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.biombioe.2018.01.017

Additional details

Identifiers

DOI
10.1016/j.biombioe.2018.01.017;
PII
S0961953418300230;

Publishing Information

Journal Title
Biomass and Bioenergy
Journal Volume
111
Journal Page Range
p. 39-45
ISSN
0961-9534
CODEN
BMSBEO

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.