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All Journal Journal Of Sustainable Research In Management Of Agroindustry (SURIMI) Scientific Journal of Engineering Research
Abdulhalim Musa Abubakar
Modibbo Adama University
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Chemistry Engineering

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Traversing the Waste Spectrum: Unveiling Pakistan's MSW Landscape and Solutions Muhammad Asif; Mahmood Laghari; Azhar Abass; Mohammad Siddique; Abdulghaffaar Assayyidi Yusuf; Abdulhalim Musa Abubakar; Ahmed Abdo
Journal of Sustainable Research In Management of Agroindustry (SURIMI) Vol. 3 No. 2 (2023): SURIMI : Oktober 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/surimi.v3i2.2070

Abstract

Municipal solid waste (MSW) management must be sustainable in order to meet the Sustainable Development Goals (SDGs) and address health, environmental, and disposal challenges caused by the vast amounts of trash generated. MSW management going wrong puts locals in danger. In Pakistan, the production of municipal solid trash is rising daily. Urban settlers and other organizations gather a lot of waste in various forms, usually defiling and making our surroundings uninviting. Due to the indiscriminate dumping of various wastes, the soil quality in the metropolitan area has decreased as a result of solid and liquefied waste disposal. Significant environmental concerns regarding soil and water pollution arise from transferring contaminated garbage and mixed fluid outside of waste disposal borders. The impacts of municipal garbage disposal on soil and water quality at open waste dumping sites were the main focus of this review. Using a soil and water quality index, in many regions of the world especially in regions where waste management practices are insufficient, the contamination of soil and water owing to incorrect municipal solid waste disposal is a serious environmental hazard. Open dumping, unregulated landfilling, and illegal dumping are examples of improper waste disposal practices that can result in pollution that affects the quality of the soil and water. They must also seek to identify sustainable waste management solutions. The effect of these emitted gaseous emissions has, however, been thoroughly researched. To safeguard the environment and public health, quick action must be made to control trace element pollution.
Kinetics and Statistical Analysis in Biogas Production: Optimization of Clostridium welchii Bioaugmentation of Solid Organic Waste from Shinko Yusufu Luka; Abdulhalim Musa Abubakar; Hassan Ahmed Saddiq; David Ufedo Apeh
Scientific Journal of Engineering Research Vol. 2 No. 4 (2026): December (in Process)
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v2i4.2026.528

Abstract

Natural microbial communities in cassava peel (CP), sugarcane waste (SW), and poultry manure (PM) are often inadequate to sustain stable anaerobic digestion (AD) for efficient biogas production. This study employed bioaugmentation with Clostridium welchii to improve process stability and biogas production, thereby promoting the valorization of organic wastes generated in Shinko, Adamawa State. CP, SW, and PM were codigested at a 5:4:1 ratio under three conditions: a non-bioaugmented control (X) and two bioaugmented setups (Y and Z) containing 200 and 300 mL of Clostridium welchii, respectively. Biogas production over a 40-day digestion period was fitted to the Modified Gompertz, Cone, Fitzhugh, and Logistic kinetic models to estimate kinetic parameters. Model performance across the three bioreactor setups was evaluated using 29 statistical metrics. The maximum experimental biogas yields at day 40 were 1.19, 2.13, and 1.85 m3/kg for X, Y, and Z, respectively, with predicted values showing close agreement. Among all models, the Modified Gompertz model for setup Y demonstrated the best overall performance, combining the highest biogas yield, the fastest production rate (k), favorable shape factor (n), a short lag phase, and excellent statistical agreement (R2 > 0.9992). Bioaugmentation with 200 mL of Clostridium welchii proved the most efficient and stable strategy for codigesting CP, SW, and PM based on all 29 statistical criteria. Overall model performance ranked as Modified Gompertz > Cone > Logistic > Fitzhugh. Moderate bioaugmentation optimized microbial activity, shortened the lag phase, increased biogas production rates, and strengthened the predictive accuracy of the kinetic models.
Co-Authors Abdulghaffaar Assayyidi Yusuf Ahmed Abdo Asif, Muhammad Azhar Abass David Ufedo Apeh Hassan Ahmed Saddiq Mahmood Laghari Mohammad Siddique Yusufu Luka