In-silico production of bioactive enrichment soil fertilizer from agricultural by-products towards bioeconomics perspectives

• Martinez Camacho, Rubi Alejandra ^[1] ; Rivas Garcia, TOMAS ^[4] ; Ascencio Valle, Felipe de Jesus ^[1] ; Beltran Morales, Luis Felipe ^[1] ; Castellanos Cervantes, Thelma Rosa ^[1] ; Vogele, Ralf Thomas ^[2] ; Elhadi M. Yahia ^[3]
  1. [1] Instituto Politécnico Nacional

     Instituto Politécnico Nacional

     México

     
  2. [2] University of Hohenheim

     University of Hohenheim

     Stadtkreis Stuttgart, Alemania

     
  3. [3] Universidad Autónoma de Querétaro

     Universidad Autónoma de Querétaro

     México

     
  4. [4] Universidad Autónoma de Chapingo

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• Localización: Agro Productividad, ISSN-e 2594-0252, Vol. 17, Nº. 9, 2024 (Ejemplar dedicado a: Septiembre), págs. 173-181
• Idioma: inglés
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  • Objective: To evaluate production facilities biorefinery design of bioactive enrichment soil fertilizer using food waste generated by farms in Baja California Sur (BCS), México, of five agricultural commodities towards bioeconomic perspectives. Design/methodology/approach: BCS state was the study area. A mathematical model biorefinery design was made using a Mixed Integer Linear Program approach. Four layers of decision were used, Biomass, Production facilities, Storage and Consumer location. SuperPro Designer was used to biorefinery design and model was formulated in Phyton. Results: Model shows two optimal production facilities: Valle de Vizcaino (VV) and Valle de Santo Domingo (VSD). VV processes strawberry and tomato with net profit of 50.28. While VSD processes orange and asparagus with net profit of 35.48. Production line goes from May to April. Ascorbic acid and quercetin were considered to enrichment the soil fertilizer.  Limitations on study/implications: This study did not produce bioactive compounds in industrial way only use mathematical modeling program and equations to predict the optimal scenario to production facilities location in an agricultural region. Findings/conclusions: Model showed the importance of consider four interconnected decision layers. The framework was developed for capturing food waste generation dynamics. These dynamics display a very important role in all other dimensions’ decisions and that an efficient biorefinery design must account for these dynamics.