2种藻菌固定化改进方法的比较及优化研究

研究了替换固定液及壳聚糖覆膜2种藻菌固定化改进方法,并对比2种改进方法对固定化效果及废水处理效果的影响.结果表明,2种方法都可增强固定化小球的稳定性与机械强度.4个周期后,经前种方法制备的固定化小球对COD,NH3-N,PO43--P的去除率分别为75.8%,42.5%,47.5%,后种方法制备的小球对2种污染物的去除率分别为73.8%,51.8%,54.5%.与改进前相比,前者降低了废水处理效果,而后者对处理效果影响不大.以壳聚糖覆膜作为改进方法,考察壳聚糖溶液的质量浓度,pH值和覆膜时间对固定化小球处理废水能力的影响,得到最佳浓度,pH值以及覆膜时间分别为1%,5.5,15min.

电子废物处置的循环经济理念

电子废弃物的大多处置方式不仅对环境和人类造成危害,还浪费了宝贵的资源。为了寻找最佳电子废物的处置方式,探讨了循环经济的概念,提出采用循环经济模式来回收利用电子废物,从根本上解决电子废物的处置问题。

新工科背景下人工智能技术融入医用化学实验课程教学的改革探索

新工科对人才的要求是实践能力强、创新能力强,这对高等教育院校的工科教育提出了更高的要求,同时信息时代也迎来了人工智能(AI)的飞速发展,为如何激发学生创造力、提升学生实践的能力提供了良好的机遇与挑战。本文以《医用化学实验》课程教学为基础,介绍了该实验课程的主要内容,针对课程实验教学中当前存在的问题,提出了人工智能技术融入实验教学的改革探索,包括对教学内容的设计,教学方法的改进以及教学效果的评价相结合。通过改革,改善教学效果,提升学生的科学研究能力和创新能力。The requirements of new engineering are strong practical ability and innovation ability, which puts forward higher requirements for engineering education in colleges and universities. Meanwhile, the rapid development of artificial intelligence (AI) has appeared in the current information age, which provides good opportunities and challenges for how to stimulate students’ creativity and improve students’ practical ability. Based on the teaching of the course of Medical Chemistry Experiment, this paper introduces the main content of the experiment course, and the existing problems in the experimental teaching of such course. According to the existing problems of such course, this paper puts forward the reform exploration of integrating artificial intelligence technology into the experiment teaching, including the design of teaching content, the improvement of teaching methods and the evaluation of teaching effect. Through the teaching reform, it will improve the teaching effect, enhance students’ scientific research ability and innovation ability.

废水营养比对固定化藻菌去除污染物的影响及动力学研究

海藻酸钙作载体的固定化藻菌小球,经壳聚糖覆膜后,用于模拟废水的处理。通过研究废水初始氨氮浓度及碳氮比对固定化藻菌小球处理效果的影响,发现初始氨氮浓度为50 mg/L时,氨氮的去除率达最高值74.4%;碳氮比为35∶1时,COD去除率达最高值77.7%。系统最佳氮磷比与碳氮比分别为5∶1和35∶1。固定化藻菌降解有机物的动力学过程为一级不可逆生化反应过程,其降解速率常数约为0.099 h-1。