1.Analysis of food contamination by lead, cadmium, mercury, copper and aluminum in Ningxia
Qiuning WEI ; Boxuan JIN ; Yalei DING ; Tao CHEN
Chinese Journal of Endemiology 2015;34(5):349-352
Objective To investigate the situation of food contamination by lead,cadmium,mercury,copper and aluminum in Ningxia Region.Methods Ten categories of food samples up to 712 copies including dairy,edible mushrooms,eggs,preserved egg,meat,organs,aquatic products,vegetables,grains and pasta from supermarkets of five administrative cities of Ningxia Autonomous Region were selected in 2010.The contents of lead,cadmium and mercury in food were detected in 646 samples of 9 categories of food,and copper content of the 30 meat samples were detected.Aluminum content in 66 samples of flour food was tested.According to the methods of national food safety standards (GB 5009.12-2010) and national food hygiene standards (GB/T 5009.13-2003,GB/ T 5009.15-2003 and GB/T 5009.17-2003),lead,copper,cadmium and mercury in various foods were tested.Aluminum was determined using the method for determination of spectrophotometry.Results The detection rates of lead,cadmium,mercury in the nine categories of food were 52.8% (341/646),62.1% (401/646),51.7% (334/646);the detection rates of copper in the meat was 90.0% (27/30);the aluminum in flour food was 84.8% (56/66),respectively.Compared with the national standards,the eligible rates of lead,cadmium,mercury,copper and aluminum were 97.1% (627/646),98.2% (539/549),100.0% (646/646),100.0% (30/30) and 75.8% (50/66),respectively.Food contaminated by lead and cadmium were mainly distributed in preserved egg [lead detection rate 9.5% (2/21)],organs [lead detection rate 6.7% (2/30),cadmium detection rate 30.0% (9/30)],vegetables [lead detection rate 9.9% (8/90)] and a small amount of food products [lead detection rate 4.7% (7/150)].The levels of lead in fried flour food and fine dried noodles were higher [40.9% (9/22),36.4% (4/11)].Conclusions Food contamination by lead,cadmium,mercury and copper is not serious in Ningxia.The monitoring results of lead,cadmium,mercury and copper in food are satisfying in Ningxia.But there is aluminum contamination in flour food.It is important to do the risk evaluation of aluminum contamination in food as quickly as possible.
2.Exploring the feasibility of using ChatGPT in plastic surgery teaching
Zixin WANG ; Boxuan WEI ; Tao ZAN
Chinese Journal of Plastic Surgery 2024;40(9):1006-1011
Plastic surgery is characterized by high degree of specialization, a broadscope of diseases inclusion and rapid advancements in knowledge. It is closely related to many disciplines, and there is great heterogeneity among different patients, which requires comprehensive abilities of doctors. However, plastic surgery teaching in China is currently marked by a short training cycle, a uniform training mode, and students’ time constraints and heavy tasks. Chat generative pre-trained transformer (ChatGPT), a large-scale language model introduced by the artificial intelligence company OpenAI, can use deep learning technology to generate natural language texts, understand the context of a conversation and then generate responses similar to those of humans, and is widely used in various industries, including the medical field. This review began by identifying the current challenges in plastic surgery teaching, introduced potential applications of ChatGPT in the field, and outlined its advantages. It also discussed the limitations and potential future directions for its development.
3.Exploring the feasibility of using ChatGPT in plastic surgery teaching
Zixin WANG ; Boxuan WEI ; Tao ZAN
Chinese Journal of Plastic Surgery 2024;40(9):1006-1011
Plastic surgery is characterized by high degree of specialization, a broadscope of diseases inclusion and rapid advancements in knowledge. It is closely related to many disciplines, and there is great heterogeneity among different patients, which requires comprehensive abilities of doctors. However, plastic surgery teaching in China is currently marked by a short training cycle, a uniform training mode, and students’ time constraints and heavy tasks. Chat generative pre-trained transformer (ChatGPT), a large-scale language model introduced by the artificial intelligence company OpenAI, can use deep learning technology to generate natural language texts, understand the context of a conversation and then generate responses similar to those of humans, and is widely used in various industries, including the medical field. This review began by identifying the current challenges in plastic surgery teaching, introduced potential applications of ChatGPT in the field, and outlined its advantages. It also discussed the limitations and potential future directions for its development.