Innovation in colorimetric sensors to detect early signs of food spoilage is a growing interest in food safety and quality control. Currently available chemical dyes for sensor applications have concern because of their possible migration into food packaging and food in contact. In this study, a colorimetric indicator was developed using natural butterfly pea (Clitoria ternatea) anthocyanin with Sago (Metroxylon sagu) as polymeric film. The principle was based on pH shift due to chemical processes produced by microorganism causing anthocyanin color to change. The film was fabricated by solvent casting method and characterized by color change at different pH values, total water solubility, swelling rate, and morphological structure. Trials on chicken breast samples in various conditions exhibited that the film indicator responded well according to pH variation enabling a real‐time monitoring due to spoilage. Thus, our natural pH indicator with visible color variation allows for simple, economic and safe monitoring of perishable foods.
COVID-19 is a new strain of coronavirus that had affected nations at a global scale. With an unprecedented high infection and mortality rate, the World Health Organization had declared this novel virus as a pandemic phenomenon in March 2020. Due to the seriousness of this situation, efforts to control and surveillance of this emerging disease are currently of global interest. This chapter will focus on analytical performance of biosensor and artificial intelligent (AI) technologies for the development of robust sensor to detect COVID-19. The future outlooks of biosensor and AI to be employed remotely for COVID-19 detection and diagnosis will also be discussed.
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