Biological characteristics of energy conversion in carbon fixation by microalgae

生化工程 固碳 能量转换 工艺工程 计算机科学 环境科学 生物系统 化学 光合作用 工程类 生物 热力学 物理 生物化学
作者
Jing Zeng,Zhenjun Wang,Guobin Chen
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier]
卷期号:152: 111661-111661 被引量:45
标识
DOI:10.1016/j.rser.2021.111661
摘要

CO2-fixation by microalgae can be regarded as a biological process of energy conversion with CO2 and H2O in microalgae cells in the sunlight. The study of the biological intrinsic characteristics of energy conversion is helpful to reveal the high-efficiency carbon fixation mechanism of microalgae. Firstly, the CO2 emission control technology and the external influencing factors are summarized in this paper, which have laid the foundation for researching the internal biological intrinsic characteristics of carbon fixation by microalgae. Based on photosynthetic reactions, in-situ reaction experiments, hydrodynamic simulations and metabolic networks have been integrated to analyze the biological intrinsic characteristics of carbon fixation by microalgae. The collation of representative studies on theory and quantitative calculation methods reveals that free energy dissipation seriously affects the carbon fixation efficiency of microalgae; Secondly, thermodynamics and metabolic networks are discussed. The role of thermodynamics in addressing the constraints is explored mainly from the perspective of energy conversion mechanisms, free energy dissipation mechanisms, framework and methods. Metabolic networks are studied using sampling methods based on thermodynamic systems and metabolic engineering based on a systems perspective; Thirdly, the key supporting technologies and biological intrinsic characteristics are reviewed from an interdisciplinary perspective, and the researches on metabolic networks based on thermodynamic constraints are given; Finally, challenges are summarized to provide a basis and direction for future research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
搜集达人应助吱吱吱吱采纳,获得10
1秒前
1秒前
1秒前
搜集达人应助黄家宝采纳,获得10
2秒前
2秒前
Akim应助wangxiangqin采纳,获得10
2秒前
绵绵发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
2秒前
sealjslove发布了新的文献求助10
2秒前
风中小蕊完成签到,获得积分10
3秒前
3秒前
3秒前
飞虎完成签到,获得积分10
4秒前
Zx_1993应助th采纳,获得10
4秒前
4秒前
5秒前
5秒前
5秒前
5秒前
科研小生完成签到,获得积分10
6秒前
1111发布了新的文献求助10
6秒前
MASAMI发布了新的文献求助10
6秒前
Jasper应助葛一豪采纳,获得10
7秒前
烟花应助null采纳,获得10
7秒前
wipmzxu完成签到,获得积分10
7秒前
7秒前
7秒前
dan发布了新的文献求助10
8秒前
xxx发布了新的文献求助10
8秒前
愉快的花卷完成签到,获得积分10
8秒前
8秒前
黑曜石发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
下X下完成签到,获得积分20
9秒前
张乔然发布了新的文献求助10
9秒前
晞晞完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 1500
List of 1,091 Public Pension Profiles by Region 1001
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5472789
求助须知:如何正确求助?哪些是违规求助? 4575000
关于积分的说明 14349787
捐赠科研通 4502378
什么是DOI,文献DOI怎么找? 2467070
邀请新用户注册赠送积分活动 1455052
关于科研通互助平台的介绍 1429246