Objective To establish characteristic fingerprint of essential oil in Rhizoma Chuanxiong and to scientifically evaluate and effectively control the inner quality of Rhizoma Chuanxiong.MethodsChemical components in essential oil from ten batches of Rhizoma Chuanxiong samples were analyzed by GC-MS method and the common peaks and characteristic peaks were identified.Results Thirteen common peaks were identified and eight characteristic peaks was established.Precision,stability and reproducibility tests had good results with the characteristic peaks as indexes.Conclusion The established characteristic fingerprint is very exclusive and can be used for the quality control of Rhizoma Chuanxiong.

Gastrointestinal tumors(GT)are characterized by both high malignancy and high mortality and have become the major diseases for prevention in the elderly.GT often present detectable changes, including bleeding and abnormal mucosal morphology.However, many technical difficulties remain in accurately monitoring the tumor itself and related abnormal lesions mentioned above, which are the key factors affecting the early detection rate of gastrointestinal tumors.In recent years, with progresses in artificial intelligence(AI)applications for digestive endoscopy image analysis, biosensors, new biomarkers and other areas, AI holds promise for the detection of bleeding, morphological and structural abnormalities of the mucosa, tumors and other major disorders.Here we review the progress of AI applications in geriatric digestive diseases affecting digestive organs and the mucosa in light of morphology and function, to provide a reference for reducing the incidence of both geriatric emergencies and GT.