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Abstract：
Since COVID-19 pandemic has been continuously rising and spreading, several original contributions and review articles on COVID-19 started to appear in the literature. The review articles are mainly focus on the current status of the pandemic along with current status of the corona diagnosis and treatment process. Due to some disadvantages of the currently used methods, the improvement on the novel promising diagnosis and treatment methods of corona virus is very important issue. In this review, after briefly discussing the status of current diagnosis and treatment methods, we present to the scientific community, novel promising methods in the diagnosis and treatment of COVID-19. As with other novel approaches, first, the diagnosis potential of mass spectroscopy and optical spectroscopic methods such as UV/visible, infrared, and Raman spectroscopy coupled with chemometrics will be discussed for the corona virus infected samples based on the relevant literature. In vibrational spectroscopy studies, due to complexity of the data, multivariate analysis methods are also applied to data. The application of multivariate analysis tools that can be used to extract useful information from the data for diagnostic and characterisation purposes is also included in this review. The reviewed methods include hierarchical cluster analysis, principal component analysis, linear and quadratic discriminant analysis, support vector machine algorithm, and one form of neural networks namely deep learning method. Second, novel treatment methods such as photodynamic therapy and the use of nanoparticles in the in-corona virus therapy will be discussed. Finally, the advantages of novel promising diagnosis and treatment methods in COVID-19, over standard methods will be discussed. One of the main aims of this paper is to encourage the scientific community to explore the potential of this novel tools for their use in corona virus characterization, diagnosis, and treatment.
摘要：
自从COVID-19疫情持续上升和蔓延以来，几篇关于COVID-19的原创文章和评论文章开始出现在文献中。评论文章主要关注大流行的现状以及电晕诊断和治疗过程的现状。由于目前使用的方法的一些缺点，改进新型有前景的冠状病毒诊断和治疗方法是非常重要的问题。在这次审查中,在简要讨论了当前诊断和治疗方法的现状之后，我们向科学界介绍，诊断和治疗COVID-19的新方法。与其他新方法一样，首先,质谱和光谱方法如紫外/可见光的诊断潜力，红外线,以及拉曼光谱与化学计量学相结合将在相关文献的基础上讨论冠状病毒感染的样品。在振动光谱学研究中，由于数据的复杂性，多变量分析方法也适用于数据。本综述还包括可用于从数据中提取有用信息以进行诊断和表征的多变量分析工具的应用。综述的方法包括层次聚类分析，主成分分析，线性和二次判别分析，支持向量机算法,神经网络的一种形式即深度学习方法。第二,将讨论新的治疗方法，如光动力疗法和纳米颗粒在冠状病毒治疗中的应用。最后,将讨论COVID-19新型有前途的诊断和治疗方法相对于标准方法的优势。本文的主要目的之一是鼓励科学界探索这种新型工具在冠状病毒表征中的潜力，诊断,和治疗。
