The Value of Near-Infrared Multifunctional Nanoprobe Combined with Artificial Intelligence Microsensor Technology in Molecular Diagnosis for Gastric Cancer

Abstract

Since the symptoms of early gastric cancer patients are not obvious, the majority of new gastric cancer cases are progressive gastric cancer every year. In this paper, we applied nanomedicine technology to design and prepare multifunctional nanoparticles for the diagnosis and treatment of gastric cancer. Through targeted imaging of gastric cancer, combined with phototherapy and the prepared nanoprobes are applied to the ectopic transplantation tumor model of gastric cancer. Meanwhile, a fluorescent microsensor based on graphene oxide and deoxyribonuclease is constructed in order to realize the rapid detection of gastric cancer exosomes. The near-infrared multifunctional nanoprobe is combined with artificial intelligence microsensor technology and applied to the molecular diagnosis of gastric cancer. The results shows that the P-P-I-M+ laser irradiation group has the highest fluorescence intensity and its average fluorescence intensity is 2.04 times higher than that of the P-P-I+ laser irradiation group. The relative cell viability of P-P-M+ laser irradiation group, P-P-I+ laser irradiation group and P-P-I-M+ laser irradiation group are 62.5%, 41.9% and 19.3%, respectively. Therefore, the method in this paper can reduce the non-specific toxicity to other organs as well as exert the effect of combining the diagnosis and treatment of gastric cancer.