Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw
Abstract Background As a renewable carbon source, biomass energy not only helps in resolving the management problems of lignocellulosic wastes, but also helps to alleviate the global climate change by controlling environmental pollution raised by their generation on a large scale. However, the bottl...
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BMC
2020-01-01
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Series: | Biotechnology for Biofuels |
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Online Access: | https://doi.org/10.1186/s13068-020-1648-8 |
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author | Xiaoli Li Junjing Sha Yihua Xia Kuichuan Sheng Yufei Liu Yong He |
author_facet | Xiaoli Li Junjing Sha Yihua Xia Kuichuan Sheng Yufei Liu Yong He |
author_sort | Xiaoli Li |
collection | DOAJ |
description | Abstract Background As a renewable carbon source, biomass energy not only helps in resolving the management problems of lignocellulosic wastes, but also helps to alleviate the global climate change by controlling environmental pollution raised by their generation on a large scale. However, the bottleneck problem of extensive production of biofuels lies in the filamentous crystal structure of cellulose and the embedded connection with lignin in biomass that leads to poor accessibility, weak degradation and digestion by microorganisms. Some pretreatment methods have shown significant improvement of methane yield and production rate, but the promotion mechanism has not been thoroughly studied. Revealing the temporal and spatial effects of pretreatment on lignocellulose will greatly help deepen our understanding of the optimization mechanism of pretreatment, and promote efficient utilization of lignocellulosic biomass. Here, we propose an approach for qualitative, quantitative, and location analysis of subcellular lignocellulosic changes induced by alkali treatment based on label-free Raman microspectroscopy combined with chemometrics. Results Firstly, the variations of rice straw induced by alkali treatment were characterized by the Raman spectra, and the Raman fingerprint characteristics for classification of rice straw were captured. Then, a label-free Raman chemical imaging strategy was executed to obtain subcellular distribution of the lignocellulose, in the strategy a serious interference of plant tissues’ fluorescence background was effectively removed. Finally, the effects of alkali pretreatment on the subcellular spatial distribution of lignocellulose in different types of cells were discovered. Conclusions The results demonstrated the mechanism of alkali treatment that promotes methane production in rice straw through anaerobic digestion by means of a systemic study of the evidence from the macroscopic measurement and Raman microscopic quantitative and localization two-angle views. Raman chemical imaging combined with chemometrics could nondestructively realize qualitative, quantitative, and location analysis of the lignocellulose of rice straw at a subcellular level in a label-free way, which was beneficial to optimize pretreatment for the improvement of biomass conversion efficiency and promote extensive utilization of biofuel. |
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language | English |
last_indexed | 2024-12-12T11:11:37Z |
publishDate | 2020-01-01 |
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series | Biotechnology for Biofuels |
spelling | doaj.art-667268af0980426b9c8befdb8b98fee22022-12-22T00:26:17ZengBMCBiotechnology for Biofuels1754-68342020-01-0113111410.1186/s13068-020-1648-8Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice strawXiaoli Li0Junjing Sha1Yihua Xia2Kuichuan Sheng3Yufei Liu4Yong He5College of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityCollege of Biosystems Engineering and Food Science, Zhejiang UniversityAbstract Background As a renewable carbon source, biomass energy not only helps in resolving the management problems of lignocellulosic wastes, but also helps to alleviate the global climate change by controlling environmental pollution raised by their generation on a large scale. However, the bottleneck problem of extensive production of biofuels lies in the filamentous crystal structure of cellulose and the embedded connection with lignin in biomass that leads to poor accessibility, weak degradation and digestion by microorganisms. Some pretreatment methods have shown significant improvement of methane yield and production rate, but the promotion mechanism has not been thoroughly studied. Revealing the temporal and spatial effects of pretreatment on lignocellulose will greatly help deepen our understanding of the optimization mechanism of pretreatment, and promote efficient utilization of lignocellulosic biomass. Here, we propose an approach for qualitative, quantitative, and location analysis of subcellular lignocellulosic changes induced by alkali treatment based on label-free Raman microspectroscopy combined with chemometrics. Results Firstly, the variations of rice straw induced by alkali treatment were characterized by the Raman spectra, and the Raman fingerprint characteristics for classification of rice straw were captured. Then, a label-free Raman chemical imaging strategy was executed to obtain subcellular distribution of the lignocellulose, in the strategy a serious interference of plant tissues’ fluorescence background was effectively removed. Finally, the effects of alkali pretreatment on the subcellular spatial distribution of lignocellulose in different types of cells were discovered. Conclusions The results demonstrated the mechanism of alkali treatment that promotes methane production in rice straw through anaerobic digestion by means of a systemic study of the evidence from the macroscopic measurement and Raman microscopic quantitative and localization two-angle views. Raman chemical imaging combined with chemometrics could nondestructively realize qualitative, quantitative, and location analysis of the lignocellulose of rice straw at a subcellular level in a label-free way, which was beneficial to optimize pretreatment for the improvement of biomass conversion efficiency and promote extensive utilization of biofuel.https://doi.org/10.1186/s13068-020-1648-8RamanChemical imagingLignocellulosic biomassAlkali pretreatmentRice strawSpectral unmixing |
spellingShingle | Xiaoli Li Junjing Sha Yihua Xia Kuichuan Sheng Yufei Liu Yong He Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw Biotechnology for Biofuels Raman Chemical imaging Lignocellulosic biomass Alkali pretreatment Rice straw Spectral unmixing |
title | Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw |
title_full | Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw |
title_fullStr | Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw |
title_full_unstemmed | Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw |
title_short | Quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw |
title_sort | quantitative visualization of subcellular lignocellulose revealing the mechanism of alkali pretreatment to promote methane production of rice straw |
topic | Raman Chemical imaging Lignocellulosic biomass Alkali pretreatment Rice straw Spectral unmixing |
url | https://doi.org/10.1186/s13068-020-1648-8 |
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