Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis
The diverse utilization of pyrolysis liquid is closely related to its chemical compositions. Several factors affect PA compositions during the preparation. In this study, multivariate statistical analysis was conducted to assess PA compositions data obtained from published paper and experimental dat...
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MDPI AG
2022-09-01
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| Series: | Molecules |
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| Online Access: | https://www.mdpi.com/1420-3049/27/17/5656 |
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| author | Genmao Guo Qing Huang Fangming Jin Linyi Lin Qingqing Wang Qionglin Fu Yin Liu Muhammad Sajjad Junfeng Wang Zhenni Liao Miao Cai |
| author_facet | Genmao Guo Qing Huang Fangming Jin Linyi Lin Qingqing Wang Qionglin Fu Yin Liu Muhammad Sajjad Junfeng Wang Zhenni Liao Miao Cai |
| author_sort | Genmao Guo |
| collection | DOAJ |
| description | The diverse utilization of pyrolysis liquid is closely related to its chemical compositions. Several factors affect PA compositions during the preparation. In this study, multivariate statistical analysis was conducted to assess PA compositions data obtained from published paper and experimental data. Results showed the chemical constituents were not significantly different in different feedstock materials. Acids and phenolics contents were 31.96% (CI: 25.30–38.62) and 26.50% (CI: 21.43–31.57), respectively, accounting for 58.46% (CI: 46.72–70.19) of the total relative contents. When pyrolysis temperatures range increased to above 350 °C, acids and ketones contents decreased by more than 5.2-fold and 1.53-fold, respectively, whereas phenolics content increased by more than 2.1-fold, and acetic acid content was the highest, reaching 34.16% (CI: 25.55–42.78). Correlation analysis demonstrated a significantly negative correlation between acids and phenolics (r<sup>2</sup> = −0.43, <i>p</i> < 0.001) and significantly positive correlation between ketones and alcohols (r<sup>2</sup> = 0.26, <i>p</i> < 0.05). The pyrolysis temperatures had a negative linear relationship with acids (slope = −0.07, r<sup>2</sup> = 0.16, <i>p</i> < 0.001) and aldehydes (slope = −0.02, r<sup>2</sup> = 0.09, <i>p</i> < 0.05) and positive linear relationship with phenolics (slope = 0.04, r<sup>2</sup> = 0.07, <i>p</i> < 0.05). This study provides a theoretical reference of PA application. |
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| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-10T01:28:25Z |
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| series | Molecules |
| spelling | doaj.art-140476cbcc2d4c118fc4df0020fc57e52023-11-23T13:45:49ZengMDPI AGMolecules1420-30492022-09-012717565610.3390/molecules27175656Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate AnalysisGenmao Guo0Qing Huang1Fangming Jin2Linyi Lin3Qingqing Wang4Qionglin Fu5Yin Liu6Muhammad Sajjad7Junfeng Wang8Zhenni Liao9Miao Cai10Center for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaCenter for Eco-Environmental Restoration Engineering of Hainan Province, Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, State Key Laboratory of Marine Resource Utilization in South China Sea, College of Ecology and Environment, Hainan University, Haikou 570228, ChinaChenzhou Institute of Forestry, Chenzhou 423000, ChinaPujin Environmental Engineering (Hainan) Co., Ltd., Haikou 570125, ChinaThe diverse utilization of pyrolysis liquid is closely related to its chemical compositions. Several factors affect PA compositions during the preparation. In this study, multivariate statistical analysis was conducted to assess PA compositions data obtained from published paper and experimental data. Results showed the chemical constituents were not significantly different in different feedstock materials. Acids and phenolics contents were 31.96% (CI: 25.30–38.62) and 26.50% (CI: 21.43–31.57), respectively, accounting for 58.46% (CI: 46.72–70.19) of the total relative contents. When pyrolysis temperatures range increased to above 350 °C, acids and ketones contents decreased by more than 5.2-fold and 1.53-fold, respectively, whereas phenolics content increased by more than 2.1-fold, and acetic acid content was the highest, reaching 34.16% (CI: 25.55–42.78). Correlation analysis demonstrated a significantly negative correlation between acids and phenolics (r<sup>2</sup> = −0.43, <i>p</i> < 0.001) and significantly positive correlation between ketones and alcohols (r<sup>2</sup> = 0.26, <i>p</i> < 0.05). The pyrolysis temperatures had a negative linear relationship with acids (slope = −0.07, r<sup>2</sup> = 0.16, <i>p</i> < 0.001) and aldehydes (slope = −0.02, r<sup>2</sup> = 0.09, <i>p</i> < 0.05) and positive linear relationship with phenolics (slope = 0.04, r<sup>2</sup> = 0.07, <i>p</i> < 0.05). This study provides a theoretical reference of PA application.https://www.mdpi.com/1420-3049/27/17/5656pyrolysis liquidacetic acidsphenolicspyrolysis temperaturemultivariate statistical analysis |
| spellingShingle | Genmao Guo Qing Huang Fangming Jin Linyi Lin Qingqing Wang Qionglin Fu Yin Liu Muhammad Sajjad Junfeng Wang Zhenni Liao Miao Cai Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis Molecules pyrolysis liquid acetic acids phenolics pyrolysis temperature multivariate statistical analysis |
| title | Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis |
| title_full | Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis |
| title_fullStr | Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis |
| title_full_unstemmed | Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis |
| title_short | Exploration of the Interrelationship within Biomass Pyrolysis Liquid Composition Based on Multivariate Analysis |
| title_sort | exploration of the interrelationship within biomass pyrolysis liquid composition based on multivariate analysis |
| topic | pyrolysis liquid acetic acids phenolics pyrolysis temperature multivariate statistical analysis |
| url | https://www.mdpi.com/1420-3049/27/17/5656 |
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