Integrating mathematical analysis and biotechnological approaches for enhanced environmental management

  • سال انتشار: 1402
  • محل انتشار: مجله علوم زیستی خاورمیانه، دوره: 21، شماره: 5
  • کد COI اختصاصی: JR_CJES-21-5_018
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 161
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نویسندگان

Nussupov A. Aidarzhanovich

Almaty Technological University, ۱۰۰, Tole Bi St., ۰۵۰۰۱۲ Almaty, Scientific and Production centre "Zhalyn" ۱۱, Pavlodarskaya St., ۰۵۰۰۱۶ Almaty, Kazakhstan

Yessimsiitova Z. Bekturovna

Department Biodiversity and Bioresources, al-Farabi Kazakh National University, Almaty, Kazakhstan & Scientific and Production Centre "Zhalyn", ۱۱, Pavlodarskaya St., ۰۵۰۰۱۶ Almaty, Kazakhstan

Abdreshov S. Nauryzbaevish

Institute of Genetics and Physiology CS MSHE RK, Almaty, Kazakhstan & Al-Farabi Kazakh National University, ۰۵۰۰۶۰, ۹۳ Al-Farabi Avenue, Almaty, the Republic of Kazakhstan

Nurjan Beisenbayuly

Almaty Humanitarian-Economic University", Almaty, Kazakhstan, ۴۳, Kunaev Street, ۰۵۰۰۵۱ Almaty, the Republic of Kazakhstan

Sadykova N. Alaldunkyzy

Almaty Technology University, ۱۰۰, Tole bi St., ۰۵۰۰۱۲ Almaty, Kazakhstan

Mukhitdinov Azamat

Al-Farabi Kazakh National University, Almaty, Kazakhstan

Ablaikhanova Nurzhaniyat

Al-Farabi Kazakh National University, Almaty, Kazakhstan

Lesova Z. Tureevna

Department Food biotechnology, Almaty Technological University, Scientific and Production Centre, "Zhalyn" ۱۱, Pavlodarskaya St., ۰۵۰۰۱۶ Almaty, Kazakhstan

چکیده

As environmental challenges continue to escalate, the need for innovative and effective solutions is paramount. This paper presents a comprehensive study at the intersection of biotechnology and mathematical analysis, aiming to address environmental management issues with a novel and integrated approach. Our research focuses on the development of cutting-edge strategies that harness the power of biotechnology while employing mathematical modelling and analysis for optimization and prediction. The novelty of our work lies in its interdisciplinary nature, bridging the gap between biotechnology and mathematics to tackle complex environmental problems. We begin by examining bioremediation techniques, particularly the use of microorganisms, to remediate contaminated sites. Mathematical models allow for the optimization of bioremediation processes, enabling faster and more cost-effective cleanup of polluted sites. In the realm of wastewater treatment, our study incorporates biotechnological advancements for optimal pollutant removal and resource recovery. Furthermore, we explore the potential of genetically modified organisms (GMOs) in environmental management, demonstrating the power of combining biotechnology with mathematical analysis to develop tailored solutions for environmental challenges. This paper highlights the synergistic relationship between biotechnology and mathematical analysis in the context of environmental management. Our research not only provides novel insights into the optimization and prediction of biotechnological processes but also offers sustainable solutions for environmental remediation and conservation. Our study presents promising numerical results, indicating substantial enhancements in pollutant removal efficiency, resource recovery, and the overall sustainability of environmental management. These findings demonstrate the transformative potential of our integrated approach, providing tangible evidence of its real-world impact on environmental challenges.

کلیدواژه ها

Bioremediation, biotechnology, Environmental management, Mathematical analysis, Modeling, Sustainability, Vermicompost

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