پژوهش نفت

پژوهش نفت

مدلسازی سینتیکی فرآیند گوگردزدایی زیستی از سوخت های فسیلی با سویه باکتریایی

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه مهندسی شیمی، واحد نیشابور، دانشگاه آزاد اسلامی، نیشابور، ایران
2 گروه مهندسی شیمی، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
3 گروه مهندسی شیمی، واحد قوچان، دانشگاه آزاد اسلامی، قوچان، ایران
4 گروه شیمی، واحد نیشابور، دانشگاه آزاد اسلامی، نیشابور، ایران
10.22078/pr.2026.5742.3554
چکیده
گوگردزدایی زیستی یکی از روش های نوین و کارآمد جهت حذف ترکیبات گوگردی مقاوم موجود در سوخت های فسیلی با استفاده از میکروارگانیسم های خاص می باشد. در پژوهش حاضر به مدلسازی و شبیه سازی قسمت های کلیدی فرایند گوگردزدایی زیستی نظیر روندهای رشد و مرگ باکتریایی، نرخ مصرف سوبسترا و نرخ تولید محصول پرداخته شده است. در این راستا از مدل های سینتیکی نمایی و لجستیک به همراه ده مدل سرعت رشد ویژه باکتریایی (مدل های مونود، هالدان، آیبا، هینشلوود، ادوارد، یانو، بلک من، اندریوس، موزر و وب)، برای توصیف رشد و مرگ توده زیستی استفاده گردید. همچنین برای توصیف نرخ مصرف سوبسترا و نرخ تولید محصول ایجاد شده در فرایند، از مدل لودکینگ-پیرت استفاده شد. بر این مبنا، بیست سناریو مختلف مدلسازی که شامل ترکیبی از مدل های سینتیک رشد و مرگ باکتریایی، سرعت رشد ویژه، نرخ مصرف سوبسترا و نرخ تولید محصول می باشد پیاده سازی گردید. این سناریوها با داده‌های آزمایشگاهی موجود در مقالات برای تجزیه دی‌بنزوتیوفن (DBT) به عنوان سوبسترا توسط سویه مایکوباکتریوم، که منجر به تولید 2-هیدروکسی‌بی‌فنیل (2-HBP) به عنوان محصول نهایی می‌شود، ارزیابی و اعتبارسنجی شدند تحلیل آماری نشان می‌دهد که پیش بینی های بسته نمایی بر مبنای مدل وب با 087/0 = SSEtotal، 16/0 = RMSEtotal و 976/0 = R2mean از بهترین انطباق با کمترین میزان خطا نسبت به داده های آزمایشگاهی برخوردار است. از سناریوی مذکور می توان برای طراحی و راه اندازی واحدهای تجزیه زیستی ترکیبات گوگردی مقاوم از سوخت های فسیلی استفاده نمود.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Kinetic Modeling of the Biodesulfurization Process from Fossil Fuels by a Bacterial Strain

نویسندگان English

Mehrnoosh Malekjafarian 1
Behrooz Mahmoodzadeh Vaziri 2 3
Rahele Zhiani 4
Alireza Motavalizadeh Kakhky 4
Malihe Sadat Hosseiny 4
1 Department of Chemical Engineering, Ne.C., Islamic Azad University, Neyshabur, Iran
2 Department of Chemical Engineering, Ma.C., Islamic Azad University, Mashhad, Iran
4 Department Of Chemistry, Ne.C., Islamic Azad University, Neyshabur, Iran
چکیده English

Biodesulfurization is an advanced and efficient approach for eliminating resistant sulfur compounds from fossil fuels using specific microorganisms. This study focuses on the modeling and simulation of key aspects of the biodesulfurization process, including bacterial growth and death trends, substrate consumption rate, and product formation rate. To this end, exponential and logistic kinetic models were combined with ten specific bacterial growth rate models (Monod, Haldane, Aiba, Hinshelwood, Edward, Yano, Blackman, Andrews, Moser, and Webb( to characterize the biomass growth and death. The Luedeking-Piret model was utilized to describe substrate consumption and product formation rates. Accordingly, twenty modeling scenarios were developed, including combinations of growth/death kinetics, specific growth rates, substrate consumption, and product formation. These scenarios were evaluated and validated against experimental data from the literature on dibenzothiophene (DBT) degradation (as substrate) by a Mycobacterium strain, yielding 2-hydroxybiphenyl (2-HBP) as the final product. Statistical analysis shows that the exponential package predictions based on the Webb model, with SSEtotal = 0.087, RMSEtotal = 0.16, and R2mean = 0.976, provide the best fit and the lowest error when compared to the experimental data. This scenario can be applied to design and operate biodegradation units for resistant sulfur compounds from fossil fuels.

کلیدواژه‌ها English

Biodesulfurization
Modeling and Simulation
Specific Growth Rate
Dibenzothiophene
Mycobacterium Strain
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