Study On Bio-Treatment Of Straw And Phenolic Compound Bio-Degradative Kinetics

The research is focused on the application of white rot fungi in pulping and paper making field. In this paper, Phanerochaete chrysosprium (P. chrysosprium), a kind of representative white rot fungi, is used in straw bio-pretreatment and effluent bio-treatment respectively to decline the consumption of chemicals in pulp and the pollution of bleaching effluent.The nutritional factors were optimized for better lignin bio-degradation with Orthogonal Regressive Analysis Method, i.e., carbon source (glucose), 27.22g/L, nitrogen source (ammonium nitrate), 0.06g/L and manganese sulfate, 0.20g/L. The results show that pretreated straw consumes 2% less soda than that of unpretreated straw for cooking. The results of IR analysis show that it is oxidation of C. and -0-4 catalyzed by enzyme, which resulted in straw lignin bio-degraded.The COD of E stage bleaching effluent that has been bio-treated for 5 days by P. chrysosprium is 71.8% less than that of unprocessed E stage bleaching waste-water and the color removes is 65%. This study is focused on the feasibility that utilize the sealed tube method to measure CODcr of bleaching effluent. The best wavelength to measure concentration of Cr6+ is 430nm. The results of /-test demonstrated that it can be used for measurement of CODcr same as the method described in Standard method, and the Pearson coefficient was 0.9995. The advantage of the sealed tube method is that the consumption of chemicals is less than standard method. The results of GC-MS detected by bio-treated and unprocessed E-stage wastewater show that the mainly pollution source of bleaching effluent is composed of macromolecule alkyl, alkene, phenyl ester and hydrin etc. These substances can be biodegraded completelyduring fungi rapid growth stage by P. chrysosprium.The mechanism of degradation of chlorophenol by P. chrysosporium with Volterra model was studied and the biodegrade dynamic formula was established to describe the biodegradation and effect of biosorption in batch-reactor. The results show that Volterra model describe the fungi growth process and the action of biosorption in the poison system well. By the experiment, 2,4-dichlorophenol can be eliminated above 99% by P. chrysosporium.Finally, the Revised Feed forward Neural Network model of BP algorithmic was used to predict biodegradability of phenols substances using Molecule Connect Index to characterize structure of compounds. The correct rates are above 80% in predicting random sample. The artificial neural networks model is suitable for solving the problem of multivariate nonlinear function.