Self‐Adaptive Plasma Chemistry and Intelligent Plasma Medicine
Advanced Intelligent Systems
; 4(3), 2022.
Article
in English
| ProQuest Central | ID: covidwho-1756545
ABSTRACT
Plasma‐based biomedical applications rely on the reactive oxygen and nitrogen species generated in cold atmospheric plasmas, where complex chemical kinetic schemes occur. The optimization of plasma medicine is thus required for each specific biomedical purpose. In the view of pharmacology, it is to optimize the active pharmaceutical ingredients. This work is thus the first attempt of such a complex task utilizing the recent development of machine learning technologies. Herein, a general method of passive plasma chemical diagnostics and optimization in real time is proposed. Based on spontaneous emission spectroscopy, an artificial neural network provides the gas chemical compositions along with other information such as temperatures. The information further passes through the second neural network which outputs the adjustments of external control inputs including energy, gas injections, and extractions to optimize the plasma chemistry.
Computers--Artificial Intelligence; active pharmaceutical ingredients; cold atmospheric plasma; machine learning; plasma chemistry; plasma medicine; Plasma; Medicine; Plasmas (physics); Biofilms; Severe acute respiratory syndrome coronavirus 2; Lasers; Biomedical materials; Cancer therapies; Artificial neural networks; Pandemics; Atmospheric pressure; Optimization; Pharmacology; Medical research; Chemistry; Methods; Spontaneous emission; Chemical composition; Coronaviruses; Drug dosages; COVID-19; United States--US
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Advanced Intelligent Systems
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS