Garip Ustaoğlu Şebnem, Kaygusuz Hakan, Bilgin Mehmet Dinçer, Severcan Feride
Department of Medical Biochemistry, Faculty of Medicine, Altınbaş University, İstanbul Turkey.
Department of Basic Sciences, Faculty of Engineering and Natural Sciences, Altınbaş University, İstanbul Turkey.
Turk J Biol. 2021 Aug 30;45(4):358-371. doi: 10.3906/biy-2105-45. eCollection 2021.
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.
自新冠疫情持续加剧和蔓延以来，文献中开始出现几篇关于新冠病毒的原创性论文和综述文章。综述文章主要聚焦于疫情现状以及新冠病毒诊断和治疗过程的当前状况。鉴于目前所使用方法存在一些缺点，改进新型且有前景的新冠病毒诊断和治疗方法是一个非常重要的问题。在本综述中，在简要讨论当前诊断和治疗方法的现状之后，我们向科学界展示新冠病毒诊断和治疗方面新型且有前景的方法。与其他新方法一样，首先，将基于相关文献，针对新冠病毒感染样本，讨论质谱以及紫外/可见、红外和拉曼光谱等光学光谱方法结合化学计量学的诊断潜力。在振动光谱研究中，由于数据的复杂性，多变量分析方法也被应用于数据。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。所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、支持向量机算法以及一种神经网络形式即深度学习方法。其次，将讨论光动力疗法等新型治疗方法以及纳米颗粒在新冠病毒治疗中的应用。最后，将讨论新冠病毒诊断和治疗方面新型且有前景的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些新型工具在新冠病毒表征、诊断和治疗中的应用潜力。
