A New Method and Device for Fast HBV Genotyping in Point-of-Care Diagnostics

介绍一种现场快速型HBV(乙型肝炎病毒)基因分型方法及装置,包括生物传感器与手持式荧光检测仪。为了提高检测灵敏度与准确性,采用荧光标记法。荧光检; 测仪采用简化方法来快速读取侧向流试纸上各测试线及质控线的信号幅值,基于预先建立的HBV基因分型模式匹配模型,实现快速分型。对48份HBV血清样本; 进行检测,实验结果表明,基于荧光检测仪及侧向流试纸的分型检测结果与传统核酸分析方法的分型检测结果一致,分型准确率达100%。与传统方法相比,现场; 快速型基因分型方法及装置可降低HBV分型检测的复杂度,缩短检测时间,降低检测成本,对乙肝个体化用药与个性化治疗具有重要意义。[无可用摘要]国家自然科学基金; 北京化工大学微系统与可穿戴医疗设备及生物传感技术创新研究团队资助项目; 福建省重点科技项

Numerical well test for hydraulically fractured well with complex fractures in coalbed

非常规气藏中煤层气开发是目前国内外研究的热点之一。我国煤层与国外煤层的最大差别是具有低渗透的特征，因此，我国绝大多数的煤层气井在投入开发前都要进行水力压裂。水力压裂后的裂缝特征是长期困惑煤层气开发者的问题也是评价煤层气压裂效果和预测煤层气产能的关键参数。本文通过裂缝形成条件的分析结合现场微地震测试得到的裂缝特征，建立了“T”型和“工”型裂缝2 类典型复杂裂缝的煤层气井3 维数值试井模型。通过数值计算，获得了“T”型和“工”裂缝的试井理论曲线。给出了一种通过与常规单一垂直和水平裂缝理论曲线特征的对比进行复杂裂缝判断的方法。建立了识别多条裂缝的基础理论，为煤层气复杂裂缝压裂井测试资料的分析提供了理论基础和技术手段。同时，给出了复杂裂缝条件下煤层中的压力场分布，为了解煤层气区域压降状况提供了技术保障

Well test type curve analyzing for horizontal well with multi-fractures

水平井压裂技术已成为低渗透及特低渗油气藏、煤层气藏以及页岩气藏等烃类储层开发的关键技术。水平井水力压裂后的裂缝特征是评价压裂效果和预测单井产能的关键参数。本文通过裂缝形成条件的分析,建立了一种多条裂缝水平井三维数值试井模型。通过3维数值试井模型的理论计算,获得了多条裂缝水平井的试井理论曲线,分析了裂缝条数、裂缝间距、裂缝长度等诸多因素对试井理论曲线的影响,给出了不同条件下试井理论曲线的特征分析。

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

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 $p\to \bar\nu K^+$ 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 $p\to \bar\nu K^+$ 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 $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

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

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 $p\to \bar{\nu} K^+$ 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 $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies