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创新应用采访及演讲比赛于医学检验专业学生岗位胜任力认知教学
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作者 邸玉玮 罗燕飞 +4 位作者 林乘龙 罗盈 李正康 麦华欣 顾兵 《中华临床实验室管理电子杂志》 2024年第3期140-144,共5页
目的探讨创新应用标兵采访及演讲比赛在医学检验专业学生岗位胜任力教学中的效果,并评价其教学成效。方法2021至2022年,检验医学基地的7名住院医师规范化培训学员和31名本科实习生,19组共38名医学检验专业学生自愿报名参加以“岗位胜任... 目的探讨创新应用标兵采访及演讲比赛在医学检验专业学生岗位胜任力教学中的效果,并评价其教学成效。方法2021至2022年,检验医学基地的7名住院医师规范化培训学员和31名本科实习生,19组共38名医学检验专业学生自愿报名参加以“岗位胜任力”为主题的检验标兵采访及演讲比赛,对医疗、教学、科研表现突出的优秀标兵教师进行深度采访、发布视频、演讲比赛。通过问卷,比较学生与在职检验人员对岗位胜任力德、能、勤、绩要素的认识差异,比较学生在比赛前、后对于岗位胜任力及检验科的医疗、教学、科研工作认识的程度,自我评价职业准备情况。结果比赛前,在职检验人员在总分,包括德、绩、能方面对于岗位胜任力的要求高于学生(P<0.05);比赛后,学生在对执行力、学习能力、问题解决能力、团队意识的认识上有明显增长;对医学检验各项工作的了解程度增加(P<0.05),职业准备自我评价提高。结论标兵采访及演讲比赛提升学生对检验科医疗、教学、科研工作的理解,增强学生对德、能、勤、绩等岗位胜任力要素的认识,提高对自身的要求,更好地实现从学生到职业检验人的过渡。 展开更多
关键词 岗位胜任力 医学检验技术 实习带教 教学比赛
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Charge‑Transfer Resonance and Electromagnetic Enhancement Synergistically Enabling MXenes with Excellent SERS Sensitivity for SARS‑CoV‑2 S Protein Detection 被引量:8
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作者 Yusi Peng chenglong lin +9 位作者 Li Long Tanemura Masaki Mao Tang Lili Yang Jianjun Liu Zhengren Huang Zhiyuan Li Xiaoying Luo John RLombardi Yong Yang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2021年第3期177-193,共17页
The outbreak of coronavirus disease 2019 has seriously threatened human health.Rapidly and sensitively detecting SARSCoV-2 viruses can help control the spread of viruses.However,it is an arduous challenge to apply sem... The outbreak of coronavirus disease 2019 has seriously threatened human health.Rapidly and sensitively detecting SARSCoV-2 viruses can help control the spread of viruses.However,it is an arduous challenge to apply semiconductor-based substrates for virus SERS detection due to their poor sensitivity.Therefore,it is worthwhile to search novel semiconductor-based substrates with excellent SERS sensitivity.Herein we report,for the first time,Nb2C and Ta2C MXenes exhibit a remarkable SERS enhancement,which is synergistically enabled by the charge transfer resonance enhancement and electromagnetic enhancement.Their SERS sensitivity is optimized to 3.0×10^6 and 1.4×10^6 under the optimal resonance excitation wavelength of 532 nm.Additionally,remarkable SERS sensitivity endows Ta2C MXenes with capability to sensitively detect and accurately identify the SARS-CoV-2 spike protein.Moreover,its detection limit is as low as 5×10^−9 M,which is beneficial to achieve real-time monitoring and early warning of novel coronavirus.This research not only provides helpful theoretical guidance for exploring other novel SERS-active semiconductor-based materials but also provides a potential candidate for the practical applications of SERS technology. 展开更多
关键词 Nb2C and Ta2C MXenes SERS sensitivity PICT resonance SARS-CoV-2 S protein
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Human ACE2-Functionalized Gold“Virus-Trap”Nanostructures for Accurate Capture of SARS-CoV-2 and Single-Virus SERS Detection 被引量:12
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作者 Yong Yang Yusi Peng +10 位作者 chenglong lin Li Long Jingying Hu Jun He Hui Zeng Zhengren Huang Zhi-Yuan Li Masaki Tanemura Jianlin Shi John R.Lombardi Xiaoying Luo 《Nano-Micro Letters》 SCIE EI CAS CSCD 2021年第7期105-117,共13页
The current COVID-19 pandemic urges the extremely sensitive and prompt detection of SARS-CoV-2 virus.Here,we present a Human Angiotensin-converting-enzyme 2(ACE2)-functionalized gold“virus traps”nanostructure as an ... The current COVID-19 pandemic urges the extremely sensitive and prompt detection of SARS-CoV-2 virus.Here,we present a Human Angiotensin-converting-enzyme 2(ACE2)-functionalized gold“virus traps”nanostructure as an extremely sensitive SERS biosensor,to selectively capture and rapidly detect S-protein expressed coronavirus,such as the current SARS-CoV-2 in the contaminated water,down to the single-virus level.Such a SERS sensor features extraordinary 106-fold virus enrichment originating from high-affinity of ACE2 with S protein as well as“virus-traps”composed of oblique gold nanoneedles,and 109-fold enhancement of Raman signals originating from multi-component SERS effects.Furthermore,the identification standard of virus signals is established by machine-learning and identification techniques,resulting in an especially low detection limit of 80 copies mL^(−1) for the simulated contaminated water by SARS-CoV-2 virus with complex circumstance as short as 5 min,which is of great significance for achieving real-time monitoring and early warning of coronavirus.Moreover,here-developed method can be used to establish the identification standard for future unknown coronavirus,and immediately enable extremely sensitive and rapid detection of novel virus. 展开更多
关键词 SERS SARS-CoV-2 Human ACE2 “Virus-trap”nanostructure Single-virus detection
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Visualized SERS Imaging of Single Molecule by Ag/ Black Phosphorus Nanosheets 被引量:1
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作者 chenglong lin Shunshun Liang +8 位作者 Yusi Peng Li Long Yanyan Li Zhengren Huang Nguyen Viet Long Xiaoying Luo Jianjun Liu Zhiyuan Li Yong Yang 《Nano-Micro Letters》 SCIE EI CAS CSCD 2022年第5期47-61,共15页
Single-molecule detection and imaging are of great value in chemical analysis,biomarker identification and other trace detection fields.However,the localization and visualization of single molecule are still quite a c... Single-molecule detection and imaging are of great value in chemical analysis,biomarker identification and other trace detection fields.However,the localization and visualization of single molecule are still quite a challenge.Here,we report a special-engineered nanostructure of Ag nanoparticles embedded in multi-layer black phosphorus nanosheets(Ag/BP-NS)synthesized by a unique photoreduction method as a surfaceenhanced Raman scattering(SERS)sensor.Such a SERS substrate features the lowest detection limit of 10^(–20) mol L^(−1) for R6G,which is due to the three synergistic resonance enhancement of molecular resonance,photoinduced charge transfer resonance and electromagnetic resonance.We propose a polarization-mapping strategy to realize the detection and visualization of single molecule.In addition,combined with machine learning,Ag/BP-NS substrates are capable of recognition of different tumor exosomes,which is meaningful for monitoring and early warning of the cancer.This work provides a reliable strategy for the detection of single molecule and a potential candidate for the practical bio-application of SERS technology. 展开更多
关键词 Black phosphorus Single molecule SERS EXOSOME Machine learning
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