A map of control for cold atmospheric plasma jets: From physical mechanisms to optimizations

The study of cold atmospheric plasma (CAP) began about a decade ago. Currently, multiple applications CAP have been discovered including biomedicine, nanomaterials, agriculture, and water purifications. At the current stage these research fields, it is obvious that next move will be optimization for each specific application. For example, in field plasma-based cancer treatment, due to different responses cell lines, can activate biological pathways cells, i.e., selective. One most commonly used types jet (CAPJ). However, without full understanding CAPJ physics, impossible optimize every application condition. Moreover, since team equipped with its own generator, hardware behaviors vary significantly across researchers. Therefore, complete big picture control parameters critical milestone future fields. This Review provides summary how manipulated inputs design extend chemical compositions modified by gas flow rate, discharge waveform, target properties, local environment. Based on map summarized this work, users easily their device certain purpose, such as maximizing OH H2O2 treatment or O3 ultraviolet sterilization. sheds light general theory basis low-temperature devices. Consideration based machine learning methods has receiving interest recently certainly become hot topic.