Recent advances in sensitive surface-enhanced Raman scattering-based lateral flow assay platforms for point-of-care diagnostics of infectious diseases

被引:68
|
作者
Kim, Kihyun [1 ]
Kashefi-Kheyrabadi, Leila [2 ]
Joung, Younju [1 ]
Kim, Kyeongnyeon [1 ]
Dang, Hajun [1 ]
Chavan, Sachin Ganpat [2 ]
Lee, Min-Ho [2 ]
Choo, Jaebum [1 ]
机构
[1] Chung Ang Univ, Dept Chem, Seoul 06974, South Korea
[2] Chung Ang Univ, Sch Integrat Engn, Seoul 06974, South Korea
基金
新加坡国家研究基金会;
关键词
Surface-enhanced Raman scattering (SERS); Lateral flow assay (LFA); Point-of-care (POC); Infectious disease; SARS-CoV-2; In vitro diagnostics (IVD); NUCLEIC-ACID DETECTION; QUANTITATIVE DETECTION; AU NANOPARTICLES; COLLOIDAL GOLD; PAPER DEVICE; IMMUNOASSAY; INFLUENZA; VIRUS; LABEL; FLUORESCENCE;
D O I
10.1016/j.snb.2020.129214
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This review reports the recent advances in surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) platforms for the diagnosis of infectious diseases. As observed through the recent infection outbreaks of COVID-19 worldwide, a timely diagnosis of the disease is critical for preventing the spread of a disease and to ensure epidemic preparedness. In this regard, an innovative point-of-care diagnostic method is essential. Recently, SERS-based assay platforms have received increasing attention in medical communities owing to their high sensitivity and multiplex detection capability. In contrast, LFAs provide a user-friendly and easily accessible sensing platform. Thus, the combination of LFAs with a SERS detection system provides a new diagnostic modality for accurate and rapid diagnoses of infectious diseases. In this context, we briefly discuss the recent application of LFA platforms for the POC diagnosis of SARS-CoV-2. Thereafter, we focus on the recent advances in SERS-based LFA platforms for the early diagnosis of infectious diseases and their applicability for the rapid diagnosis of SARS-CoV-2. Finally, the key issues that need to be addressed to accelerate the clinical translation of SERS-based LFA platforms from the research laboratory to the bedside are discussed.
引用
收藏
页数:14
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