Over recent decades, the global market for nanosensors has experienced substantial growth. These sensors are employed to measure and detect chemical, physical, or biological properties at the nano level of different products. Nanosensors have a wide range of applications in fields such as medicine, manufacturing processes, transportation systems, environmental monitoring, electronics, agriculture, and the food industry. To produce technologically advanced products, it is essential to prioritize quality. In this chapter we focus on the usage of control chart approach as a diagnostic tool for monitoring quality parameters. The goal is to ensure high stability in products, processes, and systems quality while minimizing variations. This chapter presents a thorough review and detailed analysis of the control chart approach to track and illustrate changes in processes over a period of time. Various types of control charts and their applications in conjunction with nanosensor data for monitoring variations in manufactured products are described. This work has the potential to serve as a foundation for future research, which aims to develop a comprehensive report on the effectiveness of different control charts in assessing the performance of nanosensors and their production at an industrial level with high quality standards.