Cargando…
Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics
BACKGROUND: Due to the increasing demands of energy and depletion of fossil fuel, bamboo is considered to be one of the most important renewable biological resources on the basis of its advantages of rapid growth ability and rich reserves. Cellulose, hemicellulose, and lignin are the three most impo...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157062/ https://www.ncbi.nlm.nih.gov/pubmed/30263064 http://dx.doi.org/10.1186/s13068-018-1251-4 |
_version_ | 1783358201813532672 |
---|---|
author | Li, Xiaoli Wei, Yuzhen Xu, Jie Xu, Ning He, Yong |
author_facet | Li, Xiaoli Wei, Yuzhen Xu, Jie Xu, Ning He, Yong |
author_sort | Li, Xiaoli |
collection | PubMed |
description | BACKGROUND: Due to the increasing demands of energy and depletion of fossil fuel, bamboo is considered to be one of the most important renewable biological resources on the basis of its advantages of rapid growth ability and rich reserves. Cellulose, hemicellulose, and lignin are the three most important constituents in moso bamboo. Their concentrations and, especially, their microscopic distributions greatly affect their utilization efficiency and other physical properties as a biomass resource. However, no studies have achieved a quantitative visualization of the distribution of lignocellulose concentrations in transverse sections of bamboo. Therefore, this study proposed the use of quantitative multivariate spectral analysis to reveal the micro-chemical distribution of lignocelluloses in bamboo based on an integration of FTIR macro- and micro-spectroscopic imaging techniques. RESULTS: Multivariate calibration models for the quantitative determination of lignocelluloses of bamboo were developed based on FTIR macro-spectroscopy, and the quantitative calibration models based on the FTIR characteristic bands showed an excellent performance with determination coefficients of 0.933, 0.878, and 0.912 for cellulose, hemicellulose, and lignin, respectively. These quantitative models were then utilized to the FTIR micro-spectroscopy of bamboo transverse sections which were corrected using a direct standardization algorithm. Subsequently, the micro-chemical distributions of cellulose, hemicellulose, and lignin were obtained based on the integration of the multivariate calibration models and corrected FTIR micro-spectroscopy. The combination of the multivariate calibration models and calibration transfer algorithm resulted in a final quantitative visualization of the chemical distributions of lignocelluloses in moso bamboos. CONCLUSIONS: Integration of the FTIR macro- and micro-spectroscopic imaging techniques can provide comprehensive information that can be used to exploit the resource of moso bamboo to develop biofuels and biosynthetic materials. |
format | Online Article Text |
id | pubmed-6157062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61570622018-09-27 Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics Li, Xiaoli Wei, Yuzhen Xu, Jie Xu, Ning He, Yong Biotechnol Biofuels Research BACKGROUND: Due to the increasing demands of energy and depletion of fossil fuel, bamboo is considered to be one of the most important renewable biological resources on the basis of its advantages of rapid growth ability and rich reserves. Cellulose, hemicellulose, and lignin are the three most important constituents in moso bamboo. Their concentrations and, especially, their microscopic distributions greatly affect their utilization efficiency and other physical properties as a biomass resource. However, no studies have achieved a quantitative visualization of the distribution of lignocellulose concentrations in transverse sections of bamboo. Therefore, this study proposed the use of quantitative multivariate spectral analysis to reveal the micro-chemical distribution of lignocelluloses in bamboo based on an integration of FTIR macro- and micro-spectroscopic imaging techniques. RESULTS: Multivariate calibration models for the quantitative determination of lignocelluloses of bamboo were developed based on FTIR macro-spectroscopy, and the quantitative calibration models based on the FTIR characteristic bands showed an excellent performance with determination coefficients of 0.933, 0.878, and 0.912 for cellulose, hemicellulose, and lignin, respectively. These quantitative models were then utilized to the FTIR micro-spectroscopy of bamboo transverse sections which were corrected using a direct standardization algorithm. Subsequently, the micro-chemical distributions of cellulose, hemicellulose, and lignin were obtained based on the integration of the multivariate calibration models and corrected FTIR micro-spectroscopy. The combination of the multivariate calibration models and calibration transfer algorithm resulted in a final quantitative visualization of the chemical distributions of lignocelluloses in moso bamboos. CONCLUSIONS: Integration of the FTIR macro- and micro-spectroscopic imaging techniques can provide comprehensive information that can be used to exploit the resource of moso bamboo to develop biofuels and biosynthetic materials. BioMed Central 2018-09-26 /pmc/articles/PMC6157062/ /pubmed/30263064 http://dx.doi.org/10.1186/s13068-018-1251-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Li, Xiaoli Wei, Yuzhen Xu, Jie Xu, Ning He, Yong Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics |
title | Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics |
title_full | Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics |
title_fullStr | Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics |
title_full_unstemmed | Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics |
title_short | Quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on FTIR macro- and micro-spectroscopy coupled with chemometrics |
title_sort | quantitative visualization of lignocellulose components in transverse sections of moso bamboo based on ftir macro- and micro-spectroscopy coupled with chemometrics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157062/ https://www.ncbi.nlm.nih.gov/pubmed/30263064 http://dx.doi.org/10.1186/s13068-018-1251-4 |
work_keys_str_mv | AT lixiaoli quantitativevisualizationoflignocellulosecomponentsintransversesectionsofmosobamboobasedonftirmacroandmicrospectroscopycoupledwithchemometrics AT weiyuzhen quantitativevisualizationoflignocellulosecomponentsintransversesectionsofmosobamboobasedonftirmacroandmicrospectroscopycoupledwithchemometrics AT xujie quantitativevisualizationoflignocellulosecomponentsintransversesectionsofmosobamboobasedonftirmacroandmicrospectroscopycoupledwithchemometrics AT xuning quantitativevisualizationoflignocellulosecomponentsintransversesectionsofmosobamboobasedonftirmacroandmicrospectroscopycoupledwithchemometrics AT heyong quantitativevisualizationoflignocellulosecomponentsintransversesectionsofmosobamboobasedonftirmacroandmicrospectroscopycoupledwithchemometrics |