期刊文献+
共找到8篇文章
< 1 >
每页显示 20 50 100
产电微生物及其生理生化特性 被引量:10
1
作者 谢作甫 郑平 +1 位作者 张吉强 蔡靖 《科技通报》 北大核心 2013年第3期32-39,共8页
微生物燃料电池(MFC)是一种具有开发前景的绿色可再生能源利用技术,而产电微生物是MFC的功能之源。探明产电微生物的种类分布、生长特性、代谢特性和产电机理,将有助于MFC的研发。在收集文献报道的产电微生物的基础上,探讨了产电微生物... 微生物燃料电池(MFC)是一种具有开发前景的绿色可再生能源利用技术,而产电微生物是MFC的功能之源。探明产电微生物的种类分布、生长特性、代谢特性和产电机理,将有助于MFC的研发。在收集文献报道的产电微生物的基础上,探讨了产电微生物的营养需要、生长条件、生长速率、电子释放及其跨膜传递机制。 展开更多
关键词 MFC 电微生物 特性 产电机理
下载PDF
产电微生物及其生理生化特性 被引量:2
2
作者 谢作甫 郑平 +1 位作者 张吉强 蔡靖 《科技通报》 北大核心 2013年第7期56-63,共8页
微生物燃料电池(MFC)是一种具有开发前景的绿色可再生能源利用技术,而产电微生物是MFC的功能之源。探明产电微生物的种类分布、生长特性、代谢特性和产电机理,将有助于MFC的研发。在收集文献报道的产电微生物的基础上,探讨了产电微生物... 微生物燃料电池(MFC)是一种具有开发前景的绿色可再生能源利用技术,而产电微生物是MFC的功能之源。探明产电微生物的种类分布、生长特性、代谢特性和产电机理,将有助于MFC的研发。在收集文献报道的产电微生物的基础上,探讨了产电微生物的营养需要、生长条件、生长速率、电子释放及其跨膜传递机制。 展开更多
关键词 MFC 电微生物 特性 产电机理
下载PDF
微生物燃料电池的研究进展 被引量:2
3
作者 林乔 王黎 +3 位作者 张捷 王捷 周芸 胡宁 《湖北农业科学》 北大核心 2014年第18期4257-4263,共7页
微生物燃料电池(MFC)作为一种新型生物发电技术,目前已得到研究者们的广泛关注。通过文献的数据挖掘,对不同微生物燃料电池运行的机理、产电微生物、底物、电极材料、质子交换膜、反应器设计等方面进行分析,综述了MFC最新研究进展,并对... 微生物燃料电池(MFC)作为一种新型生物发电技术,目前已得到研究者们的广泛关注。通过文献的数据挖掘,对不同微生物燃料电池运行的机理、产电微生物、底物、电极材料、质子交换膜、反应器设计等方面进行分析,综述了MFC最新研究进展,并对其发展前景进行了展望。 展开更多
关键词 微生物燃料电池(MFC) 产电机理 电微生物
下载PDF
泥土原电池发电及其在路灯上的应用研究
4
作者 陈丹瑶 唐小勇 颜逸莉 《应用化工》 CAS CSCD 北大核心 2019年第S01期83-85,共3页
通过对近几年该领域相关资料的研究,分析土壤微生物燃料电池的产电机理及其影响因素,明确研制出新型土壤微生物燃料电池的重要途径是获得高效廉价的电极材料和膜材料,探求使改良后的土壤微生物燃料电池的产出电量足够供应小型路灯使用,... 通过对近几年该领域相关资料的研究,分析土壤微生物燃料电池的产电机理及其影响因素,明确研制出新型土壤微生物燃料电池的重要途径是获得高效廉价的电极材料和膜材料,探求使改良后的土壤微生物燃料电池的产出电量足够供应小型路灯使用,并对其研究前景进行展望。 展开更多
关键词 微生物燃料电池 土壤微生物 产电机理 发电技术
下载PDF
一株以喹啉为燃料的产电假单胞菌(Pseudomonas sp.)Q1的特性研究 被引量:9
5
作者 陈姗姗 张翠萍 +2 位作者 刘广立 张仁铎 全向春 《环境科学学报》 CAS CSCD 北大核心 2010年第6期1130-1137,共8页
微生物燃料电池(Microbial fuel cell,MFC)阳极微生物的种类和作用机制对MFC的产电性能有着重要影响.从稳定运行了210d,以200mg·mL-1喹啉为燃料的MFC阳极室分离得到一株革兰氏阴性菌,命名为Q1,其16S rRNA基因序列与Pseudomonas cit... 微生物燃料电池(Microbial fuel cell,MFC)阳极微生物的种类和作用机制对MFC的产电性能有着重要影响.从稳定运行了210d,以200mg·mL-1喹啉为燃料的MFC阳极室分离得到一株革兰氏阴性菌,命名为Q1,其16S rRNA基因序列与Pseudomonas citronellolisDSM50332T的同源性为96.9%,属于假单胞菌属(Pseudomonassp.).循环伏安法及构建纯菌MFC方法的测定结果均表明Q1具电化学活性.菌株Q1能利用单一喹啉或喹啉和葡萄糖混合燃料产电.在本试验所用浓度范围内,增加葡萄糖浓度,菌株Q1对应的最高输出电压增加,增加喹啉浓度菌株Q1的产电性能则降低,研究表明,菌株Q1库仑量和库仑效率达到最高时(分别为18.65C和36.56%),存在一个最佳喹啉与葡萄糖浓度比1∶3.在MFC中喹啉的降解效果优于普通厌氧培养,葡萄糖对菌株Q1降解喹啉有促进作用,以喹啉和葡萄糖为混合燃料24h对喹啉的去除率达99.53%,优于以单一喹啉为燃料的情况.循环伏安法和不同更换基质方式试验表明,附着在电极上的菌株Q1对产电起主要作用,Q1的溶解态代谢产物对产电过程起电子介体的作用. 展开更多
关键词 微生物燃料电池 电细菌 喹啉降解 共基质 电性能 产电机理
原文传递
Localized Manufacture of Nuclear Power Equipment in China
6
作者 许连义 《Electricity》 2004年第1期26-29,共4页
The paper expresses the view that China's essential way out for developing nuclear power lies in localization of manu facture, based on her technical level and capability in designing and manufacturing nuclear pow... The paper expresses the view that China's essential way out for developing nuclear power lies in localization of manu facture, based on her technical level and capability in designing and manufacturing nuclear power equipment. Moreover, the paper opines that domestically manufactured nuclear power equipment has a certain competitive potential with respect to quality and price, the crux lying in the neces sity of reforming the management system of nuclear power. 展开更多
关键词 nuclear power unit DESIGN MANUFACTURE LOCALIZATION
下载PDF
The Design of Predictive Model for the Academic Performance of Students at University Based on Machine Learning
7
作者 Barnabas Ndlovu Gatsheni Olga Ngala Katambwa 《Journal of Electrical Engineering》 2018年第4期229-237,共9页
Students in South African Universities come from different socio-cultural backgrounds, countries and high schools. This suggests that these students have different experiences which impact on their levels of grasping ... Students in South African Universities come from different socio-cultural backgrounds, countries and high schools. This suggests that these students have different experiences which impact on their levels of grasping information in class as they potentially use different lenses on tuition. The current practice in Universities in contributing to the academic performance of students includes the use of tutors, the use of mobile devices for first year students, use of student assistants and the use of different feedback measures. What is problematic about the current practice is that students are quitting university in high numbers. In this study, knowledge has been drawn from data through the use of machine learning algorithms. Bayesian networks, support vector machines (SVMs) and decision trees algorithms were used individually in this work to construct predictive models for the academic performance of students. The best model was constructed using SVM and it gave a prediction of 72.87% and a prediction cost of 139. The model does predict the performance of students in advance of the year-end examinations outcome. The results suggest that South African Universities must recognize the diversity in student population and thus provide students with better support and equip them with the necessary knowledge that will enable them to tap into their full potential and thus enhance their skills. 展开更多
关键词 Machine learning Bayesian networks support vector machines decision trees and predictive model.
下载PDF
On the Production of OH Radical through Plasma Electrolysis Mechanism for the Processing of Ammonia Waste Water
8
作者 Setijo Bismo Knsna Irawan Eva Fathul Karamah Nelson Saksono 《Journal of Chemistry and Chemical Engineering》 2013年第1期6-12,共7页
Plasma produced many active species such as OH radical and H radical. As well known, OH radical plays an important role in degrading complex pollutants. This study aims to measure the production of OH radicals and eva... Plasma produced many active species such as OH radical and H radical. As well known, OH radical plays an important role in degrading complex pollutants. This study aims to measure the production of OH radicals and evaluate important parameters that have influent in degradation process of waste water contains ammonia in circulated system and analyze the level of energy consumptions are resulted by this research. The production of OH radical was detected by formation of hydrogen peroxide which was resulted by recombination reaction between OH radicals during plasma electrolysis process. From the measured concentration of hydrogen peroxide, obtained concentration of OH radical is 2,020 ppm. The depth of anode, applied voltage and ammonia initial concentration have affected ammonia degradation percentage and energy consumption level. The highest result for ammonia degradation percentage is 63.2% which gets from applied voltage 700 V, with depth of anode 1 cm, initial concentration of ammonia 100 ppm, and lowest energy consumption of 110 KJ/mmol. 展开更多
关键词 Plasma electrolysis OH radical ammonia.
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部