苎麻水热液化生物油特性及重金属迁移的研究
Study on the bio-oil characteristic and heavy metal migration derived from hydrothermal liquefaction of ramie
蒋海伟 1艾仙斌 1阙志刚 1韩佩 1邹俊华 1邓同辉 1付尹宣 1石金明1
作者信息
- 1. 江西省科学院 能源研究所,江西 南昌 330096
- 折叠
摘要
如何绿色、高效、资源化处置富含重金属植物收获物是植物修复重金属污染土壤产业化发展急需解决的技术难题.以苎麻为原料,水为反应溶剂,考察了反应温度、反应时间和酸碱催化剂对苎麻水热产油及重金属迁移的影响.结果表明,275℃、30 min 和 5%HCOOH 条件下,苎麻液化生物油产率最高为 20.86%,且其热值为30.68 MJ/kg.空白组生物油有机组分主要由醇、烃、酸、酮和含N化合物类组成,HCOOH组液化生物油中烃和酯类化合物含量增加,而Na2 CO3 组的生物油中烃、醇和酸类含量减少.此外,重金属(Cd、Pb、Cu和Cr)85%以上保留在固相残渣中,而As主要转移到水相中,且生物油中重金属含量低于4%.
Abstract
How to dispose heavy metal-rich plant harvest in a green,efficient and resource-based manner is an urgent technical problem for the industrial development of phytoremediation of heavy metal-contami-nated soil.Using ramie as raw material and water as reaction solvent,the effects of reaction temperature,reaction time and acid-base catalysts on the oil yield and heavy metal migration of ramie were investiga-ted.The results showed that the highest yield of ramie liquefied bio-oil was 20.86%at 275℃,30 min and 5%HCOOH,and its calorific value was 30.68 MJ/kg.The organic components of bio-oil in blank group were mainly composed of alcohols,hydrocarbons,acids,ketones and N-containing compounds.The contents of hydrocarbon and ester compounds in liquefied bio-oil in HCOOH group were increased,while the contents of hydrocarbon,alcohols and acids in bio-oil in Na2 CO3 group were decreased.In addition,more than 85%of heavy metals(Cd,Pb,Cu and Cr)are retained in the solid phase residue,while As is mainly transferred to the aqueous phase,and the heavy metal content in bio-oil is less than 4%.
关键词
水热液化/苎麻/生物油/重金属/水相Key words
hydrothermal liquefaction/ramie/bio-oil/heavy metal/aqueous phase引用本文复制引用
基金项目
国家自然科学基金(22308136)
国家自然科学基金(52004114)
国家自然科学基金(51764019)
江西省自然科学基金(20232BAB214063)
江西省科学院包干制试点示范项目重点研发计划(2022YSBG21011)
江西省科学院包干制试点示范项目重点研发计划(2022YJC1003)
江西省科学院包干制试点示范项目重点研发计划(2021YSBG10004)
江西省科学院包干制试点示范项目重点研发计划(2021YSBG21015)
江西省科学院包干制试点示范项目重点研发计划(2022YSBG50010)
江西省科学院引进博士项目(2023YYB05)
江西省重点研发计划(20201BBE51013)
南昌市重点实验室项目(2021-NCZDSY-020)
出版年
2024
NETL
NSTL
万方数据