https://journalspub.info/chemical/index.php?journal=JCCST&page=issue&op=feedInternational Journal of Chemical Separation Technology2023-07-24T11:30:12+00:00Shipra Sharmachemical@stmjournals.comOpen Journal Systems<p align="center"><strong>International Journal of Chemical Separation Technology </strong></p><p align="center"><strong>(IJCST)</strong></p><p align="center"><strong> </strong></p><p align="center"><strong>ISSN: 2456-6691</strong></p><p><strong> </strong></p><p align="center"><strong>Click <a href="/index.php?journal=JCCST&page=about&op=editorialTeam">here</a> for complete Editorial Board</strong></p><p align="center"><strong><br /></strong></p><p align="center"><strong><strong>Scientific Journal Impact Factor (SJIF):</strong><span> <span data-sheets-root="1" data-sheets-value="{"1":3,"3":5.328}" data-sheets-userformat="{"2":577,"3":{"1":0},"9":1,"12":0}">5.328</span></span><strong> , ICV: <span data-sheets-root="1" data-sheets-value="{"1":3,"3":66.77}" data-sheets-userformat="{"2":513,"3":{"1":0},"12":0}">66.77</span></strong></strong></p><p align="center"><strong> </strong></p><p align="center"><strong>AIM AND SCOPE</strong></p><p><strong>International Journal of Chemical Separation Technology:</strong> is a journal focused towards the rapid publication of fundamental research papers in all areas concerning recent advancement in the field of separation technology, which are covered under the domain Chemical Engineering. It's a biannual journal, started in 2015.</p><p><strong>Journal DOI No:</strong> <strong>10.37628/IJCST</strong><span> </span></p><p><strong>Focus and Scope Cover</strong></p><ul><li>Residual contamination and excess depositions</li><li>Pumping Units</li><li>Temporary Hoses and Pipework</li><li>Heating Coils Exchangers</li><li>Circulating Tanks</li><li>Analytical/Control Equipment</li><li>Printed Circuit Heat Exchangers</li><li>Mechanical filtration</li><li>Deionization</li><li>Evaporative separation</li><li>Adsorptive exchange</li><li>Membrane filtration</li><li>Reverse Osmosis</li><li>Nanofiltration</li><li>Ultrafiltration</li><li>Microfiltration</li></ul><p><strong>Readership:</strong> Graduate, Postgraduate, Research Scholar, Faculties, Institutions.</p><p><strong>Indexing: </strong>The Journal is indexed in <span data-sheets-value="{"1":2,"2":"Google Scholar, Publons, Advanced Science Index"}" data-sheets-userformat="{"2":11133,"3":{"1":0},"5":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"6":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"7":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"8":{"1":[{"1":2,"2":0,"5":{"1":2,"2":0}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"9":1,"11":4,"12":0,"14":{"1":2,"2":0},"16":12}">Google Scholar, Publons, Advanced Science Index, Index Copernicus (<a href="https://journals.indexcopernicus.com/search/details?id=124810">ICV: </a><span data-sheets-root="1" data-sheets-value="{"1":3,"3":66.77}" data-sheets-userformat="{"2":515,"3":{"1":0},"4":{"1":2,"2":16777215},"12":0}"><a href="https://journals.indexcopernicus.com/search/details?id=124810">66.77</a>)</span></span></p><p> </p><p><strong>Submission of Paper: </strong></p><p>All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.</p><p>Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration.</p><p>Papers are accepted for editorial consideration through email <strong>chemical@stmjournals.com </strong></p><p> </p><p><strong>Subject: </strong>Chemical separation and Technology</p><p> </p><p><strong>Plagiarism: </strong>All the articles will be checked through <strong>Plagiarism Software</strong> before publication. </p><p><br /> <strong>Abbreviation: <em>IJCST</em></strong></p><p><em><br /> </em><strong>Frequency</strong>: Two issues per year</p><p> </p><p><a href="/index.php?journal=JCCST&page=about&op=editorialPolicies#sectionPolicies"><strong>Peer Reviewed Policy</strong></a></p><p><strong><strong><span><a href="/index.php?journal=JCCST&page=about&op=editorialTeam">Editorial Board</a></span></strong></strong></p><p><strong><strong><span><strong><a href="https://journalspub.com/for-author/" target="_blank">Instructions to Authors</a></strong></span></strong></strong></p>https://journalspub.info/chemical/index.php?journal=JCCST&page=article&op=view&path%5B%5D=1379Chemical Analysis of Ground Water Quality in Jaipur for Multi Purposes2023-07-24T11:30:12+00:00Rekha Rani Agarwaldrrragarwal@gmail.comJaipur's groundwater quality is steadily declining as a result of the city's growing development and modernization. The present study's assessment of the water quality is restricted to the principal ions' concentrations, distributions, relative abundances, and patterns of changeability in the chemistry of the groundwater. An evaluation of groundwater for domestic usage is made based on the chemicals present in the water. 22 ground water samples from Jaipur, Rajasthan, were collected by several Tehsils, including Amber, Chaksu, Jaipur, Kotputli, Phagi, Sanganer, Shahpura, and Viratnagar. Using the APHA standard method, samples were taken during the pre-monsoon by hand pumps or borewells in order to examine chemical parameters such pH, Electroconductivity, Total Hardness, Sodium, Potassium, Carbonate, Bicarbonate, Sulphate, and Chloride.2023-07-20T09:35:44+00:00Copyright (c) 2023 International Journal of Chemical Separation Technologyhttps://journalspub.info/chemical/index.php?journal=JCCST&page=article&op=view&path%5B%5D=1381Experimental Investigation of the Production of Carbon(iv)oxide (CO 2 ) from Brewers Spent Grain using Anaerobic Digester2023-07-24T11:30:12+00:00Ukpaka C. Ppeter.ukpaka@ust.edu.ng<p>In this study, fresh brewers spent grain from a Brewery in Port Harcourt, was used to generate biogas, and the rate of carbon dioxide production was examined as a fractional component of the biogas. Additionally, daily records of the anaerobic digestion process temperature and pressure buildup were recorded. The analysis result revealed that the pH values before and after the examination were 7.45 and 7.26, respectively, and that the temperature fluctuations between 28 0 C and 34 0 C were recorded. The results showed that the temperature range recorded indicated mesophilic temperature and that biogas production was favored by the process, with the relative abundance of the constituent of the biogas (ppb) being: 79.25ppb CH 4 (methane), 45.53ppb CO 2 (carbon dioxide), 21.42ppb O 2 (oxygen), 49.40ppb N 2 (nitrogen), and small and variable quantities of other compounds like H 2 S (hydrogen sulfide), NH 3 (ammonia), and many VOCs (volatile organic compounds) as observed from a GC analysis. However, as the time increases, the pressure increased non-linearly, suggesting the impact of biogas accumulation. The study also highlights the potential of producing carbon(iv)oxide from biogas through the breakdown of spent grain from breweries to mitigate the high cost of carbon(iv)oxide purchase by the food and beverage industries.</p>2023-07-18T00:00:00+00:00Copyright (c) 2023 International Journal of Chemical Separation Technologyhttps://journalspub.info/chemical/index.php?journal=JCCST&page=article&op=view&path%5B%5D=1380Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence2023-07-24T11:30:12+00:00Shailesh Bendaleiyer2511@gmail.comAtharva Paraiiyer2511@gmail.comSwapneel Deshpandeiyer2511@gmail.comArjun Iyeriyer2511@gmail.comAdwait Kumbhareiyer2511@gmail.com<p>Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are suffering from, the need for more advanced therapies, the development of new pharmaceuticals, and other issues. Through the simple input of symptoms experienced, medical histories, if any, and current medical reports like Brain MRIs, this project will assist patients in identifying cancer and directing them to proceed with the appropriate therapies.</p>2023-07-05T00:00:00+00:00Copyright (c) 2023 International Journal of Chemical Separation Technologyhttps://journalspub.info/chemical/index.php?journal=JCCST&page=article&op=view&path%5B%5D=1383Investigation of Root Cause of Fuel Tanker Truck Accident in Nigeria Resulting from Constrain Factors2023-07-24T11:30:12+00:00Ukpaka C. Ppeter.ukpaka@ust.edu.ng<p>The research demonstrates the investigation of reliability of root cause of fuel tanker truck accident in Nigeria resulting from some constrain factors. The constrain factors considered are age group, ownership status of fuel tanker trucks, drivers’ educational qualification and drivers’ years of experience and the states considered in this research are Lago State (Lagos Park) and River State (Port Harcourt). The study reveals age distribution of drivers in the following manner of 40–50 years with 36.9% and 37% Lagos Park and Port Harcourt as well as for 29–39 years with values of 35.9% and 32.8%. The constrain factors in terms of fuel tanker truck ownership was examine and the investigation demonstrates the order of Transport Company > Labour Union > Self > Industry > Government for Lagos State sampling whereas for Rivers State we have Industry > Transport Company > Labour Union > Self > Government. The investigation further revealed that 42.9% of the drivers has obtained Secondary School certificate, whereas 22.2% are with the Primary School Education and 0.7% has obtained National Certificate of Education (NCE) and Ordinary National Diploma (OND). The divers’ years of experiences was also considered and the investigation shows that most of the fuel tanker truck drivers are highly experienced. The research further revealed that most of driver’s location of source are Kano and Kaduna State than Lagos and Rivers State as classified based on the data obtained from the field of study.</p>2023-07-01T00:00:00+00:00Copyright (c) 2023 International Journal of Chemical Separation Technologyhttps://journalspub.info/chemical/index.php?journal=JCCST&page=article&op=view&path%5B%5D=1382Predicting the TPH Concentration along Horizontal Direction of Stagnated Water Contaminated with Crude Oil2023-07-24T11:30:12+00:00Ozioko F. C.guru4real1@yahoo.comEkperi N. Iguru4real1@yahoo.comOkirie Faith Uchenduguru4real1@yahoo.com<p>The research predicts and models TPH concentration along Horizontal Direction of Stagnated water contaminated with Crude Oil. TPH diffusion in the stagnant water media was studied using Developed Dispersion and Degradation Model incorporated with first order degradation rate and the Monod equation. TPH content decreased with increase in time, but randomly varied across the depths. The impact of crude oil was more in the fresh water compared to salt water media. The TPH predicted by the diffusion model incorporated with first order rate kinetics matched closely with experimental data than the model incorporated with Monod equation. The deviation between the predicted TPH by the model incorporated with Monod equation and the experimental data showed Monod Equation may not be suitable to use as rate parameter in the diffusion model. The predicted TPH using the first order rate kinetics and Monod Equation have been simulated and evaluated at the various days of the experimental analysis. However, either of the models can be used to study the rate of oil sediment in stagnant water media. Finally, the level of physicochemical parameters in the water media after crude oil pollution and the slow rate of TPH reduction over the investigation period implied that it will take a longer time for TPH to degrade under natural attenuation, but using the identified bacteria via bioargumentation technique could accelerate the TPH degradation.</p>2023-06-26T00:00:00+00:00Copyright (c) 2023 International Journal of Chemical Separation Technologyhttps://journalspub.info/chemical/index.php?journal=JCCST&page=article&op=view&path%5B%5D=1344Optimization and Control of Evaporative Separation Processes2023-03-17T10:21:35+00:00Sakshi Sharmass5679399@gmail.comEvaporative separation processes are widely used in various industries, including chemical manufacturing, petroleum refining, and food and beverage processing, to separate components based on their vapor pressures. These processes involve the use of equipment such as distillation columns, evaporators, and membrane-based systems, and are critical for ensuring product quality and process efficiency. However, the complexity of evaporative separation processes and the inherent variability in feedstock composition and quality make it challenging to maintain stability and safety in these processes. Optimization and control of evaporative separation processes are essential to ensure efficient and effective separation while minimizing the environmental footprint and improving product quality. Computer simulation and advanced process control techniques have emerged as valuable tools for achieving these goals. Computer simulation provides a means of predicting the behavior of complex systems, enabling operators to optimize operating conditions and evaluate the impact of various process changes. Advanced process control techniques, such as model predictive control and fuzzy logic control, use feedback from sensors to adjust operating conditions in real-time, ensuring stable and safe process operation. A full grasp of the physical and chemical concepts underpinning evaporative separation processes is also necessary for their optimization and control. This includes an understanding of the thermodynamics of phase equilibria, mass transfer, heat transfer, and fluid dynamics, as well as the behavior of impurities and contaminants in the feedstock. Achieving sustainability also requires strategies for lowering energy use and greenhouse gas emissions, such as adopting renewable energy sources and increasing process efficiency.2023-03-09T00:00:00+00:00Copyright (c) 2023 International Journal of Chemical Separation Technology