Utilization of p-graph approach for pathway prediction of disinfection by-products of electrolyzed seawater for wastewater treatment

Using electrolyzed seawater as a disinfectant provides promising results for wastewater treatments since it produces hypochlorous acid, which has a strong disinfectant effect yet poses a threat to human health, along with chlorine and bromine, which are primary components in electrolyzed seawater th...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Almera, Maria Angela Roselle del Rosario, Escalante, Samantha Nicole Angus, Jonota, Louise Isabelle Borbo, Jusay, Sofia Marrielle Berasis
التنسيق: text
اللغة:English
منشور في: Animo Repository 2023
الموضوعات:
الوصول للمادة أونلاين:https://animorepository.dlsu.edu.ph/etdb_chemeng/27
https://animorepository.dlsu.edu.ph/context/etdb_chemeng/article/1026/viewcontent/Utilization_of_P_graph_Approach_for_Pathway_Prediction_of_Disinfe_copy.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
الوصف
الملخص:Using electrolyzed seawater as a disinfectant provides promising results for wastewater treatments since it produces hypochlorous acid, which has a strong disinfectant effect yet poses a threat to human health, along with chlorine and bromine, which are primary components in electrolyzed seawater that produces carcinogenic disinfection by-products, such as trihalomethanes. In this study, P-graph approach was utilized in identifying the number of pathways that will predict the least amount of potential DBPs using electrolyzed seawater as a disinfectant. Elementary reactions that take place during the disinfection process were first listed, then converted into P-graph models through P-graph Studio, and possible pathways for the formation of DBPs were highlighted. Using the Solution Structure Generation (SSG) algorithm, multiple structures were generated and filtered to identify the number of valid structures. Afterwards, the valid pathway which contained the most number of elementary reactions was translated into kinetic equations and was evaluated further. The kinetic equations obtained was evaluated using experimental data from the study of Nokes et al. (1999), which revealed that the equations from both are identical. With the challenges encountered regarding data availability, it is recommended for further studies to have a wider scope. Different software may also be considered, especially in the filtering and evaluating steps. Lastly, performance of an experiment with actual parameters is highly recommended to obtain better results