9 research outputs found

    Rhodoferax ferrireducens微生物燃料电池中钒化合物的催化性能

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    以Rhodoferax ferrireducens菌为产电微生物,构建了可进行二次循环充电的微生物燃料电池,进行了NaVO3阳极催化和钒络合物K3VO(O2)2(OOC-COO)(KVC)阴极催化的研究.结果表明,NaVO3浓度为4mmol/L、外电阻510-时,钒化合物阳极催化最大输出电流可达0.581mA,与无任何催化剂存在的情况相比,输出电流提高0.272mA;KVC阴极催化同样能够提高电池的性能,最佳钒络合物催化浓度为25mmol/L时,最大输出电流可达0.949mA;阴阳极室中同时加入催化剂后,电池输出电流进一步提高,最大输出电流可达1.06mA

    Rhodoferax ferrireducens微生物燃料电池中钒化合物的催化性能

    No full text
    以Rhodoferax ferrireducens菌为产电微生物,构建了可进行二次循环充电的微生物燃料电池,进行了NaVO3阳极催化和钒络合物K3[VO(O2)2(OOC-COO)](KVC)阴极催化的研究.结果表明,NaVO3浓度为4mmol/L、外电阻510-时,钒化合物阳极催化最大输出电流可达0.581mA,与无任何催化剂存在的情况相比,输出电流提高0.272mA;KVC阴极催化同样能够提高电池的性能,最佳钒络合物催化浓度为25mmol/L时,最大输出电流可达0.949mA;阴阳极室中同时加入催化剂后,电池输出电流进一步提高,最大输出电流可达1.06mA

    Rhodoferax ferrireducens微生物燃料电池中钒化合物的催化性能

    No full text
    以Rhodoferax ferrireducens菌为产电微生物,构建了可进行二次循环充电的微生物燃料电池,进行了NaVO3阳极催化和钒络合物K3VO(O2)2(OOC-COO)(KVC)阴极催化的研究.结果表明,NaVO3浓度为4mmol/L、外电阻510-时,钒化合物阳极催化最大输出电流可达0.581mA,与无任何催化剂存在的情况相比,输出电流提高0.272mA;KVC阴极催化同样能够提高电池的性能,最佳钒络合物催化浓度为25mmol/L时,最大输出电流可达0.949mA;阴阳极室中同时加入催化剂后,电池输出电流进一步提高,最大输出电流可达1.06mA

    A review of hot topics in clinical psychology of 2021

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    2021年,临床心理学领域取得了一系列新成果,各国研究者普遍关注新冠疫情对心理健康的影响。同时,科技进步也推动着新的心理健康服务形式趋于成熟。从新冠疫情对心理健康的影响、肥胖与心理健康、青少年抑郁症、孤独症儿童的诊断与干预、焦虑障碍的心理治疗、虚拟现实技术在心理治疗中的应用等6个方面盘点了2021年度临床心理学的研究热点。</p

    过滤、吸附及灭活病毒的纳米催化材料的快速筛选方法

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    本发明涉及催化材料,具体地说是一种过滤、吸附及灭活病毒的纳米催化材料的快速筛选方法,具体操作为:1)以100~1000个碱基的核酸分子片段作为探针,采用喷洒或浸泡的方式将核酸分子吸附于催化剂上,然后用不少于探针原液9倍的水进行洗脱,筛选出吸附能力强的、即吸附量为原液重量60%)以上的催化剂;2)将上述步骤选取的催化剂对目标病毒进行吸附、洗脱,对催化剂用水或生理盐水一次或多次洗脱,然后对洗脱液中的病毒进行传统的活性检测;筛选出对病毒的过滤、吸附及灭活作用好的、即吸附量为原液重量95%的催化剂。本发明首先以核酸分子作为探针,建立了对纳米催化材料吸附性能和抗水性能进行快速筛选和评价的方法。带填

    JUNO Sensitivity on Proton Decay pνˉK+p\to \bar\nu K^+ Searches

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in pνˉK+p\to \bar\nu K^+ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+p\to \bar\nu K^+ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is 9.6×10339.6 \times 10^{33} years, competitive with the current best limits on the proton lifetime in this channel

    JUNO sensitivity on proton decay pνK+p → νK^{+} searches

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    JUNO sensitivity on proton decay p → ν K + searches*

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    The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the pνˉK+ p\to \bar{\nu} K^+ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via pνˉK+ p\to \bar{\nu} K^+ is 36.9% ± 4.9% with a background level of 0.2±0.05(syst)±0.2\pm 0.05({\rm syst})\pm 0.2(stat) 0.2({\rm stat}) events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 9.6 \times 10^{33} years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies
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