The current outbreak of Coronavirus disease 2019 (COVID-19) has become a health emergency of international concern since last December 2019. At the same time, the coronavirus pandemic also caused an economic crisis worldwide. All countries worldwide are competing to generate a qualified strategic plan for resolving this problem. Vaccine, treatment, and detection are the keys to control this pandemic. Global attempts to produce a suitable vaccine are ongoing in many laboratories. However, based on the failure of several previous vaccines, such as Ebola and dengue fever, has stimulated researchers to develop an effective and quick treatment. Effective treatment depends on the effectiveness of the detection method. Thus, a real-time, selective, and accurate detection method is urgently needed to detect if a person has been exposed to COVID-19. This paper is designed to discuss the current situation in controlling COVID-19 by several detection methods. The progress of each method is summarized and compared. Other information regarding the virus, such as the origin, transmission, and biomarkers of the virus, is also explained. The case progress of COVID-19 and its future directions also are discussed.

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A novel and rapid analysis of the type of meat using fluorescence spectrophotometry has been done. This method does not require complicated reagents and is environmentally friendly because it uses water as the solvent. The test sample was limited only to chicken meat and pork. Meat samples are taken from three chicken species, i.e., Broiler (Gallus domesticus), Domestic Chicken (Gallus gallus domesticus), Braekels Chicken (Gallus Turcicus), and Yorkshire pig (Sus scrofa Domesticus) species. Each sample was immersed in demineralized water. Then the extracted blood was analyzed using a fluorescence spectrophotometer. All types of samples exhibit a unique fluorescence spectra pattern. Furthermore, the mixed meat samples (pork and chicken) in various concentrations (0.5-30% of pork) were also analyzed. It was found that the excitation and emission peaks of mixed samples showed different spectra. This phenomenon can still be observed in a very low concentration of pork, 0.5%. The redshifted was observed, and the spectrum's intensity increased along with the concentration of pork. Scores of PCA (Principal Component Analysis) show four clusters of samples: Pork, Broiler, Domestic, and Braekels Chicken. This technique offers an efficient and accurate method to investigate meat contamination.

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