跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
在 國立陽明交通大學研發優勢分析平台 搜尋內容
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
One-step-one-pot hydrothermally derived metal-organic-framework-nanohybrids for integrated point-of-care diagnostics of SARS-CoV-2 viral antigen/pseudovirus utilizing electrochemical biosensor chip
Sathyadevi Palanisamy
, Li Yun Lee
,
Chih Fei Kao
,
Wen Liang Chen
, Hsiang Ching Wang
, San Tai Shen
, Jhih Wei Jian
, Shyng Shiou F. Yuan
, Yu An Kung
,
Yun Ming Wang
*
*
此作品的通信作者
生物科技學系
智慧型藥物與智能生物裝置研究中心
國立陽明交通大學
生醫科學與工程博士學位學程
分子醫學與生物工程研究所
研究成果
:
Article
›
同行評審
19
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「One-step-one-pot hydrothermally derived metal-organic-framework-nanohybrids for integrated point-of-care diagnostics of SARS-CoV-2 viral antigen/pseudovirus utilizing electrochemical biosensor chip」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Hydrothermally
100%
Nanohybrid
100%
Point-of-care
100%
Point-of-care Diagnostics
100%
Recombinant
100%
Electrochemical Biosensor
100%
Metal-organic Frameworks (MOFs)
100%
Biosensor chip
100%
Viral Antigens
100%
COVID-19
100%
Pseudovirus
100%
SARS-CoV-2 Spike Glycoprotein
100%
CoFe2O4
50%
Limit of Detection
50%
Electrochemical Performance
50%
Handheld Devices
50%
Dose Effect
50%
Virus Detection
50%
Serum-containing Medium
50%
One-step Hydrothermal Method
50%
Molecular Diagnostics
50%
Pandemic Impact
50%
COVID-19 Pandemic
50%
Electrochemical Instrument
50%
SARS-CoV-2 Virus Detection
50%
SARS-CoV-2 Detection
50%
SARS-CoV-2 Pseudovirus
50%
D614G
50%
COVID-19 Prevention
50%
Omicron BA.2
50%
Point-of-care Diagnostic Tests
50%
Global Catastrophe
50%
MOF Nanocomposites
50%
Human Communities
50%
Rapid Molecular Diagnostics
50%
Real-time Biosensors
50%
Pharmacology, Toxicology and Pharmaceutical Science
Virus Antigen
100%
Metal Organic Framework
100%
SARS Coronavirus
100%
Nanohybrid
100%
Glycoprotein
33%
Pandemic
33%
Recombinant
33%
Buffer
16%
Nanocomposite
16%
Hydrothermal Synthesis
16%
Material Science
Nanohybrid
100%
Metal-Organic Framework
100%
Glycoprotein
66%
Hydrothermal Synthesis
33%
Nanocomposite
33%