Exploration of Bioinformatics on Microbial Fuel Cell Technology: Trends, Challenges, and Future Prospects

微生物燃料电池 基因组 生化工程 燃料电池 微生物联合体 化学 微生物种群生物学 微生物代谢 生物技术 微生物 纳米技术 细菌 生物 生物化学 材料科学 基因 工程类 化学工程 遗传学 电极 物理化学 阳极
作者
K. T. Nachammai,Srinithi Ramachandran,Chitra Nagarajan,Langeswaran Kulanthaivel,Gowtham Kumar Subbaraj,Kirubhanand Chandrasekaran,Vijayalakshmi Paramasivan,Subramanian Senthilkumar
出处
期刊:Journal of Chemistry [Hindawi Limited]
卷期号:2023: 1-8 被引量:3
标识
DOI:10.1155/2023/6902054
摘要

Microbial fuel cells (MFCs) are a cost-effective and environmentally friendly alternative energy method. MFC technology has gained much interest in recent decades owing to its effectiveness in remediating wastewater and generating bioelectricity. The microbial fuel cell generates energy mainlybecause of oxidation-reduction reactions. In this reaction, electrons were transferred between two reactants. Bioinformatics is expanding across a wide range of microbial fuel cell technology. Electroactive species in the microbial community were evaluated using bioinformatics methodologies in whole genome sequencing, RNA sequencing, transcriptomics, metagenomics, and phylogenetics. Technology advancements in microbial fuel cells primarily produce power from organic and inorganic waste from various sources. Reduced chemical oxygen demand and waste degradation are two added advantages for microbial fuel cells. From plants, bacteria, and algae, microbial fuel cells were developed. Due to the rapid advancement of sequencing techniques, bioinformatics approaches are currently widely used in the technology of microbial fuel cells. In addition, they play an important role in determining the composition of electroactive species in microorganisms. The metabolic pathway is also possible to determine with bioinformatics resources. A computational technique that reveals the nature of the mediators and the substrate was also used to predict the electrochemical properties. Computational strategies were used to tackle significant challenges in experimental procedures, such as optimization and understanding microbiological systems. The main focus of this review is on utilizing bioinformatics techniques to improve microbial fuel cell technology.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
2秒前
11完成签到,获得积分10
3秒前
ruru发布了新的文献求助10
5秒前
虚幻的香彤完成签到,获得积分10
5秒前
6秒前
6秒前
JM完成签到,获得积分10
7秒前
kk摆烂发布了新的文献求助10
11秒前
roclie发布了新的文献求助10
11秒前
jiujiuwo完成签到,获得积分10
11秒前
14秒前
17秒前
寻道图强应助呼呼兔采纳,获得30
18秒前
chennangua发布了新的文献求助10
20秒前
20秒前
明理涑完成签到 ,获得积分10
21秒前
jie完成签到,获得积分10
22秒前
22秒前
独特的紫蓝应助wolf采纳,获得10
24秒前
危机的酒窝完成签到,获得积分10
25秒前
球啊球完成签到,获得积分10
29秒前
xiaowang发布了新的文献求助10
29秒前
大个应助hkh采纳,获得10
30秒前
FashionBoy应助hkh采纳,获得10
30秒前
Owen应助hkh采纳,获得10
30秒前
李健的粉丝团团长应助hkh采纳,获得10
30秒前
在水一方应助hkh采纳,获得10
30秒前
Orange应助hkh采纳,获得10
30秒前
Jasper应助hkh采纳,获得10
30秒前
31秒前
31秒前
33秒前
35秒前
飘柔完成签到,获得积分10
36秒前
fuhua发布了新的文献求助10
36秒前
ryen发布了新的文献求助10
37秒前
牧歌完成签到,获得积分0
40秒前
amo完成签到,获得积分10
40秒前
kk摆烂完成签到,获得积分10
40秒前
41秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Very-high-order BVD Schemes Using β-variable THINC Method 890
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Fundamentals of Dispersed Multiphase Flows 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3258214
求助须知:如何正确求助?哪些是违规求助? 2899987
关于积分的说明 8308585
捐赠科研通 2569242
什么是DOI,文献DOI怎么找? 1395567
科研通“疑难数据库(出版商)”最低求助积分说明 653130
邀请新用户注册赠送积分活动 631049