Developing robust methods to detect the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a causative agent for the current global health pandemic, is an exciting area of research. Nevertheless, the currently used conventional reverse transcription-polymerase chain reaction (RT-PCR) technique in COVID-19 detection endures with some inevitable limitations. Consequently, the establishment of rapid diagnostic tools and quick isolation of infected patients is highly essential. Furthermore, the requirement of point-of-care testing is the need of the hour. Considering this, we have provided a brief review of the use of very recently reported robust spectral tools for rapid COVID-19 detection. The spectral tools include, colorimetric reverse transcription loop-mediated isothermal amplification (RT-LAMP) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS), with the admittance of principal component analysis (PCA) and machine learning (ML) for meeting the high-throughput and fool-proof platforms for the detection of SARS-CoV-2, are reviewed. Recently, these techniques have been readily applied to screen a large number of suspected patients within a short period and they demonstrated higher sensitivity for the detection of COVID-19 patients from unaffected human subjects.

开发强有力的方法来检测严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2)（当前全球健康大流行的病原体）是一个令人兴奋的研究领域。然而，目前在 COVID-19 检测中使用的传统逆转录聚合酶链反应 (RT-PCR) 技术仍然存在一些不可避免的局限性。因此，建立快速诊断工具并快速隔离感染患者至关重要。此外，即时检测的要求也是当前的需要。考虑到这一点，我们对最近报道的用于快速检测 COVID-19 的强大光谱工具的使用进行了简要回顾。光谱工具包括比色逆转录环介导等温扩增 (RT-LAMP) 和基质辅助激光解吸/电离质谱 (MALDI-MS)，并可进行主成分分析 (PCA) 和机器学习 (ML)审查了用于检测 SARS-CoV-2 的高通量和万无一失的平台。最近，这些技术已很容易应用于在短时间内筛查大量疑似患者，并且它们在从未受影响的人类受试者中检测出 COVID-19 患者方面表现出更高的灵敏度。