Research On The Detection Technology Of The Combined Toxicity Of Copper, Nickel And Mercury In Water Phase HTE

With the rapid development of social economy,the problem of water environmental pollution is becoming more and more serious,especially the pollution of industrial wastewater which is caused by multiple pollutants.The detection method can only detect some specific indicators of pollutants at a time.Therefore,a convenient,rapid and effective method is needed to detect the combined pollution in industrial wastewater,it also reflects the combined effect of pollutants directly or indirectly.Up to now,many scholars are studying compound pollution,but these studies are relatively shallow and far from enough.Therefore,more further studies on compound pollution are needed.Copper nickel,mercury are important pollutants in industrial wastewater,and they have a great impact on the environment.This paper aims to develop a high-throughput rapid detection technology,which rapidly detects and analyzes the combined toxicity of Cu2+,Ni2+ and Hg2+.The main work is divided into three parts:visual detection of combined toxicity of mixed sewage,quantification of combined toxicity of mixed sewage,establishment of computational model to detect mixed sewage.Firstly,a biochemical chip based on enzymatic catalysis is prepared,and the combined acute toxicity tests of Cu2+,Ni2+ and Hg2+ are conducted on the prepared biochemical chip.The combined toxicity of Cu2+,Ni2+ and Hg2+ is visualized on the biochemical chip.Secondly,hydroponics experiments are carried out on radish seeds in 200 holes.Combined toxicity of Cu2+,Ni2+ and Hg2+ in each hole is quantified according to germination rate,bud and root growth of radish seeds.Finally,the obtained images are standardized and randomly divided into two parts to train machine-learning algorithms and detect the computational model system respectively.A GoogLeNet V1 neural network is constructed,and the computational model of the relationship between the joint toxicity and germination inhibition rate of radish seeds recorded by the biochemical chip is established through multiple simulated training and learning in the framework of GoogLeNet V1 neural network.The model predicts the relative germination rate of radish seeds exposed to Cu2+,Ni2+ and Hg2+ in mixed wastewater.Main conclusions:(1)Porcelain white paper is selected as the carrier material for chip preparation after screening.The coloured system is glucose oxidase-catalase-o-toluidine,lead acetate is used as inhibitor,sodium carbonate as basic perturbator solution,iron porphyrin as activator solution,citric acid as antidote and acid perturbator solution.Due to the biochemical perturbation system and enzymatic reaction,the chip displays abundant color pattern information.Therefore,the constructed biochemical disturbance system can be used to assist in the detection of acute toxic effects of toxic substances on organisms.(2)The prepared biochemical chip not only records the toxicity of a single metal compound,but also the combined toxicity of the mixed solution of copper nitrate,nickel acetate and mercury chloride.According to the difference pictures of the recorded chip,the acute combined toxicity of the mixed solution of copper nitrate,nickel acetate and mercury chloride can be visualized.(3)The combined toxicity of Cu2+,Ni2+ and Hg2+ could be quantified by the germination rate,bud and root growth of radish seeds exposed to Cu2+,Ni2+ and Hg2+mixed solutions.Moreover,the germination rate of radish seeds and the growth of roots and buds can be predicted by the proportion of Cu2+Ni2+ and Hg2+ in solutions.(4)Combined toxicity and biomarker values are predicted by recording the difference images of test set samples according to the established operation model.Then the relative germination rate predicted value of radish seed is detected by correlation coefficient and compared with the real value.It finds that the correlation coefficient between the real value and the predicted value is very high.Through the established operational model,the combined acute toxicity of the mixture of cupric nitrate,nickel acetate and mercuric chloride detected by biochip could be quantified by the relative germination rate of radish seeds.