High-speed and high-throughput label-free, primer-free COVID-19 saliva test using surface-enhanced Raman spectroscopy

使用表面增强拉曼光谱进行高速、高通量、无标记、无引物的 COVID-19 唾液测试

• 批准号: 552324-2020
• 负责人: Leblond, Frederic
• 金额: $ 3.64万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=703553
• 关键词: speed; throughput; label; free; primer

There are two principal ways of detecting the virus responsible for COVID-19 (SARS-CoV-2): polymerase chain reaction (PCR) tests and blood tests for antibodies against SARS-CoV-2. Both require tailored biochemical reagents e.g. specific primers, enzymes, antibodies. Such reagents can be costly and are in limited supply. Moreover, these analyses often require hours for a diagnosis, which could lead to spreading of the virus through asymptomatic individuals in airports, schools, hospitals and workplaces. We propose the development of a primer-free SARS-CoV-2 test that uses surface-enhanced Raman spectroscopy (SERS) to detect changes in the optical properties of saliva upon infection. The method employs low-powered lasers to detect and molecules (lipids, proteins, DNA/RNA, specific amino acids) in a label-free manner within seconds. The inelastically-scattered laser light yields a spectral fingerprint that has proven sensitive to changes in metabolites and disease state, including being able to discriminate between different types of viruses. Our team will work with clinicians and the company Photon etc to develop a professionally made spectroscopy system equipped with an artificial intelligence algorithm that can detect individuals infected with SARS-CoV-2.

检测导致新冠肺炎(SARS-CoV-2)的病毒有两种主要方法：聚合酶链式反应和血液检测SARS-CoV-2抗体。两者都需要量身定制的生化试剂，例如特定的引物、酶、抗体。这类试剂可能很昂贵，而且供应有限。此外，这些分析通常需要数小时才能做出诊断，这可能会导致病毒通过机场、学校、医院和工作场所的无症状个人传播。我们建议开发一种无引子的SARS-CoV-2检测方法，它使用表面增强拉曼光谱(SERS)来检测感染后唾液光学性质的变化。该方法使用低功率激光在几秒钟内以无标记的方式检测和检测分子(脂类、蛋白质、DNA/RNA、特定氨基酸)。这种非弹性散射的激光产生的光谱指纹已被证明对代谢物和疾病状态的变化很敏感，包括能够区分不同类型的病毒。我们的团队将与临床医生和Photon等公司合作开发一种专业制造的光谱系统，该系统配备了人工智能算法，可以检测感染SARS-CoV-2的个人。