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Article

Sustainability Assessment of Food Waste Biorefineries as the Base of the Entrepreneurship in Rural Zones of Colombia

by
Carlos Ariel Cardona
1,*,
Mariana Ortiz-Sanchez
1,
Natalia Salgado
1,
Juan Camilo Solarte-Toro
1,
Carlos Eduardo Orrego
2,
Alexander Perez
3,
Carlos Daniel Acosta
4,
Eva Ledezma
5,
Haminton Salas
5,
Javier Gonzaga
6 and
Steven Delgado
7
1
Instituto de Biotecnología y Agroindustria, Departamento de Ingeniería Química, Universidad Nacional de Colombia Sede Manizales, Manizales 170001, Colombia
2
Departamento de Física y Química, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Colombia Sede Manizales, Manizales 170001, Colombia
3
Departamento de Agricultura y Zootecnia, Facultad de Ciencias Agronómicas, Universidad de Sucre, Sincelejo 700001, Colombia
4
Departamento de Matemáticas y Estadística, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Colombia Sede Manizales, Manizales 170001, Colombia
5
Facultad de Ciencias Naturales, Universidad Tecnológica del Choco, Quibdó 270001, Colombia
6
Facultad de Derecho, Universidad de Caldas, Manizales 170001, Colombia
7
Consultorio Administrativo, Facultad de Administración, Universidad Nacional de Colombia, Bogotá 110111, Colombia
*
Author to whom correspondence should be addressed.
Fermentation 2023, 9(7), 609; https://doi.org/10.3390/fermentation9070609
Submission received: 18 May 2023 / Revised: 26 June 2023 / Accepted: 26 June 2023 / Published: 28 June 2023
(This article belongs to the Special Issue Sustainable Development of Food Waste Biorefineries)

Abstract

:
The sustainability of food value chains is affected by the large amounts of waste produced with a high environmental impact. Food waste valorization applying the biorefinery concept has emerged as an alternative to reduce the generation of greenhouse gases and to promote the socio-economic development of value chains at local, regional, and national levels. This paper analyzes the sustainability of food waste biorefineries designed for boosting rural economic development in Colombia. These biorefineries were designed following a strategy based on a portfolio of bioprocesses involving fractions based on the composition of the raw materials. The valorization of six food residues produced in three representative rural areas of Colombia (i.e., Chocó, Caldas, and Sucre) was analyzed. Acai, annatto, sugarcane bagasse, rejected plantain and avocado, and organic kitchen food waste (OKFW) were selected as food wastes for upgrading. The biorefinery design strategy comprised five steps for filtering the most promising bioprocesses to be implemented. The OKFW was analyzed in detail, applying the design strategy to provide a step-by-step guide involving a portfolio of bioproducts, the technological maturity index, and the socio-economic context. This strategy implementation for OKFW valorization resulted in a scenario where biorefineries with levulinic acid production were the most feasible and sustainable, with high techno-economic performances and low environmental impacts. For the valorization of the other food residues, the processes with the greatest feasibility of being implemented in rural areas were bioactive compounds, oil, flour, and biogas production.

1. Introduction

Food residues are one of the most important issues in the world due to the high per capita residues generated [1]. Developed and developing countries are making efforts to mitigate food residue generation by implementing strategies and policies [2]. A food supply chain (FSC) generates food losses (FLs) and food waste (FW) [3]. FLs obtained during the agricultural and farming production, post-harvest, handling, slaughter, and storage, and process distribution and transformation stages can be grouped as agronomic losses (ALs) [4]. These wastes are generated at a single FSC location. For example, the FSC for fruit production has, in the first three stages, the same location as the crop or is in neighboring areas. In the fruit agricultural production stage, stems, leaves, roots, flowers, and fruits are generated with low-quality standards (overripe) [5]. On the other hand, the post-harvest, storage, process distribution, and transportation stages produce low-quality standard fruits. FLs generated during the processing, packaging, and distribution stages can be grouped as agroindustry losses (AgLs) [6]. In the case of the FSC for fruit, residues such as peel, seeds, liquids, and solid residues are generated during the above-mentioned stages. Finally, the FW obtained in the last stages of an FSC can be classified as manufacturing and domestic food waste [7]. This type of waste contains a mixture of agronomic and agroindustrial products such as vegetables, fruits, farming products, or processed products [8]. The main characteristic of this waste is its non-standard composition [9]. Regarding the above information, two characterizations can be approached according to the FW composition. Agronomic and agroindustrial residues are classified as standard food waste. On the other hand, manufacturing and domestic food waste are considered to be non-standard food waste [10].
Sustainability has been defined as the perfect balance between the economic, environmental, and social aspects of a system, product, or process [11]. This concept has been applied to describe the performances of different food residue upgrading alternatives to obtain value-added products and energy vectors at the laboratory, pilot, bench, or industrial scale [12]. Food residue valorization is the base for closing the loop in several value chains since the residues produced in one link (e.g., food losses) can be used to produce marketable products with commercial value and to move forward to carbon neutrality [13]. Moreover, FW valorization is in line with the sustainable development goals (SDGs) proposed by the UN since actions to reduce and upgrade FW are being researched and implemented at different scales [14]. SDG 12, “Sustainable production and consumption”, can be accomplished through waste upgrading since unsustainable patterns (e.g., excessive reliance on natural resources and high per capita food residue production) can be reduced without affecting the dynamics of any value chain. Then, the integral FW upgrading plays a key role in developing a more sustainable production–consumption dynamics since reducing and valorizing waste streams results in more income (i.e., fewer disposal expenses) and lower environmental impacts. In this way, FWs should be upgraded by applying the biorefinery concept as a strategy to increase the product portfolio of an FSC [15].
Biorefineries are complex systems where a biomass is processed to obtain a portfolio of value-added products and energy vectors after integral processing that applies biotechnological, thermochemical, and physic-chemical processes [16]. FLs and FWs have been studied as raw materials to be valorized in conceptually designed biorefineries [17]. There are several reports in the literature of techno-economic (TEA) and environmental analyses. Nevertheless, most studies have not involved other crucial factors for designing more reliable and feasible processes. Factors such as (i) context (i.e., specific territory knowledge), (ii) processing scale, (iii) logistics and location, (iv) technological readiness level (TRL), (v) local and regional market needs, and (vi) national and international policies must be involved to propose more accurate processes for the reality of the situation [18]. These factors are important when designing biorefineries since the portfolio of products and biorefinery configuration can change depending on the biomass fractions and context.
Developed countries (e.g., Germany, Italy, and the United States of America) have great potential for establishing bioeconomies through the implementation of large-scale biorefineries to produce value-added products such as biosurfactants, organic molecules, and pharmaceuticals [19]. Large-scale processes require adequate infrastructure and a high industrialization level [20]. These processes are favored by the economy–scale concept. Nevertheless, their most important disadvantages are their raw material acquisition and logistics [21]. Developing countries (e.g., Latin American countries) have a great potential to develop a rural bioeconomy based on implementing small-scale biorefineries since these processes do not require a high industrialization level. Small-scale biorefineries must be addressed to produce local products and energy vectors [22]. The starting point to develop these processes are rural areas in developing countries since a large amount of FL is produced [23]. Several efforts to involve rural zones as the bases for establishing bioeconomies have been reported in the open literature. For instance, Solarte-Toro et al. [24] reported different small-scale configurations to upgrade avocado (Persea americana var. americana) residues into local marketable products such as avocado oil and guacamole. Moreover, Serna-Loaiza et al. [25] published small-scale processes addressed to upgrade cocoyam (Xanthosoma sagittifolium) into local products such as animal feed and starch. These efforts have demonstrated the great potential of FLs as raw materials to contribute to the socio-economic growth of a region.
Regarding the potential of small-scale biorefineries to improve the socio-economic conditions of a region, these facilities can be considered as entrepreneurship since small-scale processes can generate new job positions and contribute to decreasing the number of informal jobs. Moreover, implementing entrepreneurships based on biomasses in rural zones can establish rural bioeconomies. Thus, FW upgrading in small-scale biorefineries is the first step towards the sustainable development of a region. The objective of this work was to evaluate the potential for upgrading different FWs produced in representative rural zones of Colombia for a series of marketable products and energy vectors. A design methodology based on selecting the bioproducts portfolio reported by Ortiz-Sanchez and Cardona Alzate [26] was applied. The studied FWs in this manuscript come from avocado, plantain, acai, brown sugarcane, annatto, and OKFW.

2. Methodology

In Colombia, there are different rural areas dedicated to agricultural activities with problems such as armed conflicts, low production yields, and high waste generation. In this work, the sustainability analysis of food waste biorefineries was conducted considering three rural zones of Colombia. The rural zones analyzed are located on the north coast (close to Caribbean Sea), the Montes de María in the Sucre department; the west coast (close to Pacific Ocean), the Unión Panamericana, Quibdó, and Bojayá in the Chocó department; and Samaná, in the Caldas department. The most representative food crops of the analyzed zones are avocado, plantain, aςai, annatto, and sugarcane. Figure 1 shows the three zones selected and the raw materials analyzed in this paper. The raw materials were classified into FLs and FWs. The three rural regions analyzed in this manuscript represent three different ecosystems and thermal floors (i.e., different types of soil, crops, agricultural practices, productivities, and yields) that allowed for the analyses of various raw materials with diverse chemical compositions. In this sense, raw materials such as achiote and acai allow for valorizing extractive fractions to obtain bioactive compounds (e.g., colorants). Plantain and avocado allow for the analysis of valorization routes for producing foods such as flour and avocado oil. Finally, OKFW, due to its content of fats, pectin, starch, fiber, and extractives, requires more complex recovery routes to be proposed. In countries located in the tropics, this type of analysis demonstrates how FW can be valued in different ecosystems. The sustainability of the biorefineries was analyzed considering the methodology reported by Ortiz-Sanchez and Cardona Alzate [26].
In Sucre (zone 1), the valorization of rejected avocado (Persea americana sp.) and plantain (Musa paradisiaca sp.) was analyzed. Raw material flows of 150 kg/h of rejected avocado and 2145 kg/h of rejected plantain were considered. The flows were equivalent to 100% of the rejected avocado and plantain generated in the rural zone of Montes de María. In Chocó (zone 2), the use of non-marketed aςai (Euterpe oleracea) and waste food additives generated from the extraction of annatto dye (Bixa orellana L.) were evaluated.
The raw material flows for the analysis of the biorefineries were 13.5 kg/h of aςai and 51.8 kg/h of annatto. The flows were selected considering 50% of the aςai and annatto production in Unión Panamericana, Quibdó, and Bojayá from Chocó. Finally, sugarcane bagasse (Saccharum officinarum) and OKFW were analyzed in Caldas (zone 3). The sugarcane milling generated the bagasse corresponding to 44% w/w of the raw material. This work analyzed the valorization of 50% of the sugarcane bagasse generated in zone 3 (80.4 kg/h). OKFW was considered an optional source of raw material in zone 3 due to its current use of sugarcane bagasse. Given the impossible standardization of the OKFW, a model based on Colombian food consumption was used. In this case, a use of 40% of the OKFW generated in zone 3 (93.2 ton/h) was analyzed. The valorization of FL analyzed in this work was carried out considering small-scale biorefineries. On the other hand, the valorization of FW was analyzed considering high-scale biorefineries.

2.1. Sustainability Analysis of Biorefineries—Design Strategy of the Biomass Valorization

The sustainability analysis of the food waste biorefineries was carried out considering the strategy reported by Ortiz-Sanchez and Cardona Alzate [26]. This work defined a design and evaluation strategy considering different biomass processing routes based on chemical composition. The strategy comprises five steps where filtration of the bioprocesses is developed as a function of each fraction of the raw material (i.e., cellulose, hemicellulose, lignin, starch, pectin, extracts, and fats). The steps of the design strategy are presented in Figure 2.
The first step in the design strategy is to define the sustainability objective considering limiting factors such as production chain, scale, technological context, and product type to be obtained. In this step, it is necessary to be clear about the biomass uses in the specific context. The second step is to select the bioprocesses according to the sustainability objective. In this step, the TRL of the bioprocesses must be analyzed. Therefore, the selection of bioprocesses is considered as the first filter. The third step is the second bioprocess filter. This second filter is based on the sustainability objective (technical, economic, or environmental). If the sustainability objective is to seek the economic and environmental viability of biomass uses, the bioprocesses must be defined with favorable economic and environmental indicators. Step four defines the scenarios or superstructure according to the selected bioprocesses. Scenarios must be considered using the conceptual design methodology. Finally, step five evaluates the scenarios or superstructure considering the technical, economic, or environmental indicators.

2.1.1. Step 1: The Sustainable Objective

The sustainability objective was to define the best route for FL and FW valorization in economic and environmental terms as the basis of entrepreneurship. The main limiting factors for the valorization of FL and FW under the biorefinery concept are the low technological level (zones) and low raw material flows (low-scale biorefineries). These considerations limit the type of bioprocess that can be implemented in the study zones. For this reason, processes with high TRLs and easy-to-market products should be considered.

2.1.2. Step 2: First Filter of the Bioprocesses According to the TRL

The second step of the biorefinery design strategy was carried out considering the portfolio reported by Ortiz-Sanchez and Cardona Alzate [26]. Table 1 shows the bioprocesses considered in the portfolio.
The selection of the bioprocesses was carried out considering a TRL implementation level. This was completed based on the technological context of the zone. The selection of the bioprocesses was developed considering the raw material fractions shown in Table 1 (in the Figure 3 of the reference (Ortiz-Sanchez and Cardona Alzate [26]), the TRL for these technologies is described). Thus, the chemical characterizations of the raw materials were taken from available literature reports. Table 2 shows the chemical compositions of the raw materials used in the analyzed zones.
The technical, economic, and environmental indicators of the bioprocesses presented in Table 1 were calculated considering the fermentable sugars that could be obtained from the cellulose fraction (for the methodology details, please see Figure 4 in the study by Ortiz-Sanchez and Cardona Alzate [26]). For the hemicellulose fraction, the bioprocesses for obtaining furfural, xylitol, and pentane were obtained from xylose. Additionally, the production of galacturonic acid and mucic acid was completed based on the pectin fraction.

2.1.3. Step 3: Second Filter Based on the Technical, Economic, and Environmental Indicators

Once the bioprocesses were selected according to the TRL, the second filtration step was carried out considering the sustainability objective. The bioprocess portfolio reported by Ortiz-Sanchez and Cardona Alzate [26] presented technical, economic, and environmental indicators for the bioproducts presented in Table 1. The technical indicators considered in the portfolio were yield (ton of product/ton of raw material fraction), carbon conversion efficiency (%), power requirements (kWh/ton raw material fraction), and thermal energy consumption (MJth/ton raw material fraction). The thermal energy consumption for the bioprocesses presented in Table 1 indicate the distribution of utilities (i.e., cooling water, low-pressure steam, medium-pressure steam, and high-pressure steam). The economic indicators were capital expenditures and operational expenditures. Finally, the environmental indicators referred to climate change (kg CO2 eq/product). The second bioprocess filter was carried out according to the sustainability objective for food waste biorefineries considering the lowest values of capital costs and operational costs and the lowest environmental impact.

2.1.4. Step 4: Biorefineries Scenarios

The biorefinery scenarios were proposed considering the bioprocesses selected up to the previous step. In this step, the conceptual design methodology reported by Cardona et al. [16] was considered. The conceptual design methodology encompassed the use of hierarchy and process sequencing. The hierarchy concept implied the hierarchical decomposition of the fractions of the raw materials. On the other hand, sequencing defined the logical synthesis of the bioprocesses.

2.1.5. Step 5: Biorefinery Analysis

Based on the biorefinery scenarios, an economic and environmental evaluation was completed. In economic terms, the analysis of the biorefineries was carried out considering the net present value (NPV) of the process. The methodology described by Towler and Sinnott [31] was considered. Operational expenditures and capital expenditures were obtained from the bioprocess portfolio reported by Ortiz-Sanchez and Cardona Alzate [26]. In addition, the economic assessment of the biorefinery was completed considering the straight line as the depreciation method. Moreover, a continuous operation was assumed (i.e., 8000 h per year). Then, three (3) shifts were required. The project lifetime was presumed to be 20 years.

3. Results and Discussion

The methodological steps of the biorefinery design strategy are presented in detail using OKFW as example. The results obtained for the other raw materials are presented and avoid a deeper explanation following the steps described in the methodology section. Nevertheless, the economic analyses of the small-scale biorefineries are described and analyzed.

3.1. Results for OKFW Valorization Applying the Design Strategy

3.1.1. Step 2: Results of First Filter of Bioprocesses

The TRL was selected as the starting point to specify a preliminary list of bioprocesses for upgrading each fraction of the raw material (i.e., OKFW). In this case, the biorefineries should be proposed to involve bioprocesses with a TRL value of between seven and nine (i.e., system prototype to system proven in an operational environment) since the process objective was addressed to establish reliable and feasible entrepreneurships. Then, those bioprocesses with TRLs higher than seven were selected. Table 3 presents the options available for upgrading the raw material into a series of value-added products and energy vectors.
The analysis of the raw material chemical composition serves as the basis for selecting the most relevant bioprocesses to be involved in the process configuration. For instance, OKFW has a low content of pectin and fats (<10% w/w). Therefore, an upgrading of these fractions is not suitable since low yields would be obtained and higher capital costs would be required. Therefore, the bioprocesses addressed to upgrade these fractions were not considered. In addition, the physical characteristics of the raw materials played a key role when selecting the valorization route for all fractions together. Indeed, high moisture content, as in the case of the OKFW, makes such a raw material unsuitable for thermochemical processing (i.e., gasification and combustion). Thus, these bioprocesses should not be considered since high energy must be supplied to reduce the moisture content, affecting the global energy balance of the process. Once this specification related to the raw material composition was obtained, a list of 15 bioprocesses was established for upgrading the cellulose, hemicellulose, lignin, and extractives fractions. Products such as levulinic acid, butanol, polylactic acid (PLA), lignin, xylose, and biogas constituted options for upgrading OKFW. Nevertheless, a second filter needed to be applied to define the most promising alternatives to be implemented based on technical, economic, and environmental indicators.

3.1.2. Step 3: Results of Second Filter According to the Technical, Economic, and Environmental Indicators

The second filter applied to the selected bioprocesses in Figure 2 was completed considering technical, economic, and environmental indicators. The indicators values for the fractions defined in step 2 are presented in Table 4. The economic indicators were calculated considering the OKFW flow.
The enzymatic hydrolysis of cellulose to obtain glucose was defined as a stage before the bioprocesses presented in Figure 2. Figure 3a,b shows the normalized results for the technical indicators (i.e., mass and energy indicators). The bioprocesses with the best yields were PLA, levulinic acid, lactic acid, ethanol, and ABE production. The carbon conversion efficiency for these processes had a similar behavior. PLA did not present this indicator due to the polymerization process and the increase in molecular weight that took place in the process. The power requirement indicator had low consumption levels for the ABE, lactic acid, ethanol, levulinic acid, and PLA bioprocesses. Regarding thermal energy consumption, the bioprocesses with the lowest consumption were ABE, PLA, levulinic acid, lactic acid, and ethanol. In this sense, the bioprocesses with the best technical behaviors were ABE, levulinic acid, lactic acid, ethanol, and PLA.
Figure 3c presents the normalized economic indicators for the bioprocesses proposed for the cellulose fraction. The bioprocesses with the lowest CapEx were PLA, ABE, lactic acid, levulinic acid, and ethanol. Regarding OpEx, the bioprocesses in ascending order were ABE, PLA, ethanol, levulinic acid, and lactic acid. Finally, the relation between the production cost and the sale price presented better values for the bioprocesses of levulinic acid, ethanol, ABE, lactic acid, and PLA. Based on these indicators, it was determined that the bioprocesses with the highest economic pre-feasibility were ABE, levulinic acid, ethanol, and lactic acid.
Figure 3d shows the climate change related to the bioprocesses for the cellulose fraction. Ethanol, PLA, ABE, levulinic acid, and lactic acid were the bioprocesses, in ascending order, regarding greenhouse gas emissions.
Based on the comprehensive analysis of the technical, economic, and environmental indicators for the cellulose fraction, ABE, PLA, and levulinic acid were the analyzed bioprocesses with the greatest potential to be implemented.
The normalized technical, economic, and environmental indicators for the extractive fraction bioprocesses are presented in Figure 4. The technical indicators in terms of yield and energy consumption (i.e., thermal and electrical) showed that bioactive compounds extraction with stirred solvent presented higher prefeasibility than supercritical fluid extraction (see Figure 4a,c). In economic and environmental terms, parameters such as CapEx, OpEx, and climate change presented the same behaviors described for extracting bioactive compounds with stirred solvents. Therefore, this bioprocess was selected as the best alternative to valorize OKFW.
Finally, the technical, economic, and environmental indicators of the OKFW valorization considering all the fractions (i.e., cellulose, hemicellulose, lignin, starch, pectin, etc.) are presented in Figure 5. For the bioprocesses, the anaerobic digestion was considered as the base for the raw material fractions. For the biomethane production, two purification technologies were considered: pressure swing absorption and chemical adsorption by using amines. Biogas production was the process that presented the best indicators due to its high yield, low capital investment, and environmental impact compared to biomethane production.

3.1.3. Step 4: Biorefinery Scenarios

The bioprocesses with the best technical, economic, and environmental indicators to be evaluated were ABE, PLA, levulinic acid, stirred solvent extraction, and biogas production. From the conceptual design of the biorefineries, three biorefinery scenarios were generated. The proposed scenarios are presented in Figure 6.

3.1.4. Step 5: Economic Prefeasibility

The levulinic acid production scenario was selected for the economic pre-feasibility analysis. Figure 7 shows the NVP of the levulinic acid production biorefinery for the following three OKFW scales:
For all the proposed scales, the biorefinery had viability, and the return periods for investment were located between 4 and 12 years. The CapEx for the biorefinery was between 34 and 48 MUSD. One factor contributing to the biorefinery’s economic viability was the high commercial value of levulinic acid compared to other products such as ethanol, butanol, and lactic acid.

3.2. Results for the Other Raw Materials

All the process configurations for the other raw materials are presented in Figure 8. In the case of the small-scale biorefineries (i.e., biorefineries addressed to upgrade FLs), the scenarios introduced low technological complexity processes while the food waste upgrading introduced high technological complexity processes (e.g., levulinic acid). The proposed scenarios for FL and FW valorization are described per zone.
In Zone 1, rejected avocados are upgraded to produce biogas and avocado oil. The avocado pulp is used to produce avocado oil through cold pressing to guarantee product quality. The process temperature does not exceed 40 °C. The exhausted pulp, peels and seeds are used as raw material to produce biogas. This energy vector is produced by using sludge as inoculum from the local wastewater treatment plant. Rejected plantain is converted into starch and biogas. Plantain pulp is used as a raw material in the starch production line. Additives such as citric acid and sodium hydroxide are used to extract the starch. Biogas is produced using plantain peels as a raw material since this fraction has a considerable biogas production yield. The products obtained by implementing the proposed biorefinery configuration can be commercialized at the local level.
For Zone 2 (Choco), annatto seeds are used as a raw material. First, colorants are extracted by using a green solvent such as ethanol. Afterward, the exhausted solids are used to produce biogas as an energy vector and possible source of electricity. Instead, acai pulp is also used to extract bioactive compounds by using green solvents. The exhausted pulp is co-digested with acai seeds to produce biogas. Finally, in Zone 3 (Samana), sugarcane bagasse is upgraded to produce biogas which can be used to improve the thermal efficiency of the brown-sugar production. Regarding the OKFW, first, the fat content is extracted by using a pressing machine. Then, the solid is used to extract bioactive compounds by using green solvents. Afterward, the extracted solid is subjected to an enzymatic hydrolysis process to produce fermentable sugars as platforms for obtaining added-value products. The liquor of the saccharification process is used to produce levulinic acid when implementing the Biofine process. The exhausted solid after enzymatic hydrolysis is used to produce biogas as thermal energy source and power.
The economic assessment of the proposed biorefineries to upgrade FL and FW is presented in Figure 9. The economic analysis demonstrated the potential of using rejected avocado in Zone 1, acai and annatto as raw materials in Zone 2, and OKFW in Zone 3. Rejected avocado was more feasible than plantain since the avocado oil production process has a lower capital investment than the starch processing line. Moreover, starch has a lower commercial value (USD 0.83 per kg) than avocado oil (USD 8.15 per kg). Then, the economic feasibility of the proposed scenarios was determined by the selected products for upgrading. Annatto and acai are potential raw materials for producing colorants and bioactive compounds. Both products have a high market cost since the food, cosmetic, and pharmaceutical sectors have well-defined uses.
The processing scale was not an issue since a low processing scale has a good economic performance. Sugarcane bagasse used only as a biogas source is not feasible at the economic level since biogas has a low commercial value. Even if the biogas is converted to energy (electricity), the process is unfeasible since Samana has hydro-energy as a renewable energy source. Therefore, biogas production should be considered as a complement for other process.

3.3. Sustainability Analysis

The sustainability analysis of the proposed biorefineries for upgrading FLs and FWs must involve the triple bottom line (i.e., economic, environmental, and social benefits). The economic and environmental performances of the biorefineries were ensured by the bioprocess screening conducted in the previous steps. Then, social aspects must be involved to understand the complete impacts of the biorefineries. Indicators related to job creation and access to material resources should be included. Despite the numbers of these indicators, the implementation of new processes addressed to upgrade FLs and FWs can promote the development of more sustainable communities at the local and regional levels. In addition, the sustainability analysis of the proposed biorefineries ensures the possibility of implementing these processes in real life. The results obtained for each zone reflect the potential of the development of bio-based products for boosting rural bioeconomies.
In the rural zones of Sucre, the rejected avocado valorization presented a better economic feasibility than upgrading the rejected plantain. The same behavior was found for the environmental perspective due to the low carbon dioxide emissions of rejected avocado being upgraded to avocado oil and biogas. In the rural zones of Choco, the acai and annatto valorization were feasible from the economic perspective due to the production and commercialization of added-value products (i.e., colorants and bioactive compounds). The acai valorization presented the best economic performance because of the high selling price of its bioactive compounds. From the environmental perspective, both scenarios in Choco presented similar environmental impacts.
Finally, in the rural zones of Caldas, the sugarcane bagasse valorization was not feasible for producing biogas. Moreover, the OKFW had a good economic performance. Nevertheless, the technological context for the biorefinery implementation could not be a rural zone. This scenario was presented as a future alternative to be implemented in more developed regions with better logistics and technological development. This study demonstrated the possible development of a rural bioeconomy under the biorefinery concept.

3.4. Entrepreneurship Alternatives in Rural Zones

The results obtained for the FL and FW valuation scenarios can make it possible to define sustainability before generating ventures. In addition, technical and environmental indicators can be differential factors that promote the positioning of products through seals that denote the extensive use of resources. For example, calculations of air emissions generated determine the carbon footprint of products that can be used on a label to increase marketing potential. The valuation schemes proposed for the FLs and FWs generated in the three areas analyzed in this paper serve as a fundamental basis for the development of enterprises. Furthermore, this perspective defines the viability of the schemes considering limiting factors such as waste generation flows, socio-economic contexts, technological contexts, and bioprocess TRLs. Based on these results, the probability of success in formulating projects and creating ventures can be increased.
The upgrading alternatives for the agricultural products proposed in this research paper can be applied to other agricultural products obtained in other rural regions of Colombia. For instance, new alternatives for valorizing cocoa residues can be proposed based on cocoa’s high production rate in South Colombia (e.g., in Nariño and Putumayo). These alternatives can involve biorefineries addressed to produce cellulose fibers, food additives, and bioenergy. On the other hand, the methodology applied for upgrading agricultural products and residues can be extrapolated to other crops such as cassava, corn, palm oil, rice, mango, and coffee. Thus, the methodology and results reported in this research paper can be considered as the basis for boosting new alternatives for sustainably upgrading biomasses.

4. Conclusions

The sustainability analysis of a biorefinery is delimited through the selection of a bioprocess portfolio based on the food residues’ chemical compositions (fractions). For the case studies, technical and economic prefeasibility was demonstrated using the bioprocess portfolio. For the OKFW, the filtration processes of the biorefinery strategy resulted in the scenarios with the greatest potential for evaluation being the production of levulinic acid, PLA, and ABE from the cellulose fraction. In addition, the production of biogas was determined to be the best process for the integral use of the raw material considering the exhausted solid generated after the extraction process and enzymatic hydrolysis. On the other hand, the design strategy allowed for the identification of biorefinery schemes for the valorization of the FLs generated in rural areas (i.e., Caldas, Chocó, and Sucre) with commercialization potential at the local level. The foregoing highlights the role of conceptual design in the proposition of ventures in different areas and contexts. Finally, the implantation of the design strategy for food waste biorefineries allowed for elucidating the best scenarios to be implemented as entrepreneurship initiatives in rural zones in Colombia.

Author Contributions

Conceptualization, C.A.C., M.O.-S., N.S., J.C.S.-T., S.D. and C.E.O.; formal analysis, C.A.C., M.O.-S., N.S., J.C.S.-T. and C.E.O.; investigation, M.O.-S., N.S. and J.C.S.-T.; writing—original draft preparation, C.A.C., M.O.-S., N.S., J.C.S.-T. and C.E.O.; writing—review and editing, M.O.-S., N.S. and J.C.S.-T.; supervision, C.A.C.; funding acquisition, C.A.C., C.E.O., A.P., C.D.A., E.L., H.S. and J.G. All authors have read and agreed to the published version of the manuscript.

Funding

This paper is the result of the research developed through the following project: PROGRAMA DE INVESTIGACIÓN RECONSTRUCCIÓN DEL TEJIDO SOCIAL EN ZONAS DE POS-CONFLICTO EN COLOMBIA SIGP, coded: 57579, within the research project “COMPETENCIAS EMPRESARIALES Y DE INNOVACIÓN PARA EL DESARROLLO ECONÓMICO Y LA INCLUSIÓN PRODUCTIVA DE LAS REGIONES AFECTADAS POR EL CONFLICTO COLOMBIANO” SIGP, coded: 58907. This research was funded within the framework of Colombia Científica, contract no. FP44842-213-2018.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. Zones and raw materials selected for the food waste biorefineries analysis.
Figure 1. Zones and raw materials selected for the food waste biorefineries analysis.
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Figure 2. The steps of the design strategy for analyzing the sustainability of the biorefineries.
Figure 2. The steps of the design strategy for analyzing the sustainability of the biorefineries.
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Figure 3. Indicators for cellulose fraction valorization: (a) mass indicators; (b) energy indicators; (c) economic indicators; and (d) environmental indicator. Based on [26].
Figure 3. Indicators for cellulose fraction valorization: (a) mass indicators; (b) energy indicators; (c) economic indicators; and (d) environmental indicator. Based on [26].
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Figure 4. Indicators for the extractives fraction valorization: (a) mass indicators; (b) energy indicators; (c) economic indicators; and (d) environmental indicator. Based on [26].
Figure 4. Indicators for the extractives fraction valorization: (a) mass indicators; (b) energy indicators; (c) economic indicators; and (d) environmental indicator. Based on [26].
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Figure 5. Indicators for the fractions valorization: (a) energy indicators; (b) economic indicators; and (c) environmental indicator [26].
Figure 5. Indicators for the fractions valorization: (a) energy indicators; (b) economic indicators; and (c) environmental indicator [26].
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Figure 6. Scenarios for OKFW valorization after incorporating the design strategy for the biorefinery application.
Figure 6. Scenarios for OKFW valorization after incorporating the design strategy for the biorefinery application.
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Figure 7. Economic prefeasibility of OKFW valorization.
Figure 7. Economic prefeasibility of OKFW valorization.
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Figure 8. Selected scenarios for food residue biorefineries based on the design strategy.
Figure 8. Selected scenarios for food residue biorefineries based on the design strategy.
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Figure 9. Economic prefeasibility of the food residue biorefineries.
Figure 9. Economic prefeasibility of the food residue biorefineries.
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Table 1. Bioprocesses portfolio considered to upgrade raw material fractions. Based on [26].
Table 1. Bioprocesses portfolio considered to upgrade raw material fractions. Based on [26].
Raw Material FractionBioprocessesBioproductsTechnology
Extractives2Bioactive compoundsAgitated solvent extraction
Supercritical fluid extraction with carbon dioxide
Fats4Essential oil and
oil
Biodiesel
Steam distillation and hydrodistillation
Extrussion
Trasesterification
Cellulose9Glucose platform
Ethanol and
ABE *
Lactic acid
PHB **
Itaconic acid
Polylactic acid
Catalytic and enzymatic hydrolysis glucosa production
Fermentation—Saccharomyces cerevisiae
Clostridium acetobutylicym, Lactobacillus casei, Bacillus megaterium, and Aspegillus terreus
Catalytic upgrading
Hemicellulose4Xylose platform
Furfural
Xylitol
Pentane
Acid hydrolysis
Catalytic upgrading
Fermentation—Candida giillermondii
Lignin4Soda lignin
Organosolv lignin
Kraft lignin
Vainillin and vanilic acid
Alcaline pretreatment
Organosolv pretreatment
Kraft process
Catatytic upgrading
Pectin4Pectin
Mucic acid
Galacturonic acid and sugars platform
Acid hydrolysis
Fermentation
Enzymatic hydrolysis
Starch2Glucose plarform
Flour
Enzymatic hydrolysis
Extraction
All fractions6Biogas
Biomethane
Syngas
Hydrogen
Heat and power
Anaerobic digestion
Pressure swing absorption
Chemical absorption
Gasification
Water gas shift
Combustion and cogeneration
* Acetone, Butanol and Ethanol, ** Polyhydroxybutyrate.
Table 2. Chemical characterization of the raw materials used in the zones in Colombia.
Table 2. Chemical characterization of the raw materials used in the zones in Colombia.
ItemFood LossesFood Waste
Zone 1
[27,28]
Zone 2
[29]
Zone 3
AvocadoPlantainAnnattoAçaiSugarcane Bagasse
[30]
OKFW
[18]
PeelSeedPeelPeel and PulpPseudosteamSeedSeedPulp
Share of fruit (% w/w)13.0315.3328.65100N.A. 9010N.A.N.A.
Chemical composition (% w/w, dry basis)
Moisture *13.1711.0987.167182.7440.0131.2689.6321.8379.13
Extractives28.0932.0131.5842.4146.8027.0021.36N.R.11.3621.13
Cellulose14.2122.5011.0411.9618.7817.8512.4916.8143.4219.91
Hemicellulose9.8815.649.6618.9516.1210.7640.8520.205.17
Lignin8.2610.357.4214.324.0113.2115.2322.6113.83
PectinN.R.N.R.N.R.N.R.N.R.15.18N.R.N.R.N.R.5.28
ProteinN.R.N.R.N.R.N.R.N.R.8.26N.R.6.01N.R.N.R.
Starch26.101.6629.17N.R.N.R.N.R.N.R.N.R.N.R.26.03
Fats10.4214.44N.R.N.R.N.R.2.622.8573.99N.R.5.39
Ash3.043.4011.1312.3614.285.117.223.202.413.26
TOTAL100100100100100100100100100100
Total and volatile solids ** (% w/w)
Total solids89.9243.9990.9589.4388.0594.5N.R.25.491.627.98
Volatile solids87.9142.4071.1375.3176.9990.3N.R.24.388.225.61
N.A., not applicable; N.R., not reported; *, raw moisture content; **, total and volatile solids measured based on raw materials as received.
Table 3. List of selected bioprocesses for raw materials upgrading (e.g., for OKFW).
Table 3. List of selected bioprocesses for raw materials upgrading (e.g., for OKFW).
FractionBioprocessBioproductTRL *
CelluloseEnzymatic hydrolysisGlucose platform9
FermentationEthanol9
FermentationButanol8
Fermentation Lactic acid9
Catalytic upgrading Levulinic acid9
Catalytic upgradingPolylactic acid9
HemicelluloseAcid hydrolysisXylose platform9
LigninAlkaline pretreatmentSoda lignin9
Organosolv pretreatmentOrganosolv lignin8
Kraft/pulpingKraft lignin9
Extractives Agitated solvent extractionBioactive compounds9
Supercritical fluids extractionBioactive compounds8
FatsSteam distillationEssential oil9
Hydrodistillation Essential oil9
ExtrusionOil9
TransesterificationBiodiesel9
PectinEnzymatic hydrolysisGalacturonic acid9
Enzymatic hydrolysisGlucose platform9
Starch productionStarch9
All fractionsAnaerobic digestion (AD)Biogas9
AD plus pressure swing absorptionBiomethane9
AD plus chemical absorptionBiomethane9
GasificationSynthesis gas9
CogenerationHeat and Power9
*, based on Figure 4 in the study by Ortiz-Sanchez and Cardona Alzate [26].
Table 4. Technical, economic, and environmental indicators for each raw material fraction [26].
Table 4. Technical, economic, and environmental indicators for each raw material fraction [26].
FractionBioprocessesTechnical IndicatorsEconomic IndicatorsEnvironmental Indicators
Mass IndicatorsEnergy IndicatorsCapEx (MUSD)OpEx (MUSD)Product Cost/Selling Price RatioClimate Change kg CO2 (eq/product)
Yield (Ton of Product/Ton of Raw Material FractionCarbon Conversion Efficiency (%)Power Requirement (kWh/Ton Raw Material Fraction)Thermal Energy Consumption (MJth/kg Raw Material Fraction)
CelluloseEnzymatic hydrolysis0.892.61.80.73132.8743.920.210.28
Ethanol0.346.2461.9170.2924.8711.38
ABE0.2540.511.50.00724.8214.322.412.41
Lactic acid0.6665.753.144.3134.7437.703.113.16
Levulinic acid0.5672.758.831143.1733.420.22.84
Polylactic acid1.95N.A.17.170.115.2723.8735.51.96
ExtractivesBiocompounds
agitated solvent extraction
0.2–0.8N.A.0.42–1.58106.52–402.41543.5814.310.33–1.250.16
Biocompounds
supercritical fluid extraction
0.009–0.33N.A.54.23–208.87180.32–681.21878.343.940.33–1.250.46
All fractionsBiogas190–75086.9433.4–1320.561.121.021.530.75
Biomethane
pressure swing absorption
190–75086.9542.5–144.22.751.240.611.641.3
Biomethane
chemical absorption
190–75086.9442.5–144.22.981.270.721.831.42
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Cardona, C.A.; Ortiz-Sanchez, M.; Salgado, N.; Solarte-Toro, J.C.; Orrego, C.E.; Perez, A.; Acosta, C.D.; Ledezma, E.; Salas, H.; Gonzaga, J.; et al. Sustainability Assessment of Food Waste Biorefineries as the Base of the Entrepreneurship in Rural Zones of Colombia. Fermentation 2023, 9, 609. https://doi.org/10.3390/fermentation9070609

AMA Style

Cardona CA, Ortiz-Sanchez M, Salgado N, Solarte-Toro JC, Orrego CE, Perez A, Acosta CD, Ledezma E, Salas H, Gonzaga J, et al. Sustainability Assessment of Food Waste Biorefineries as the Base of the Entrepreneurship in Rural Zones of Colombia. Fermentation. 2023; 9(7):609. https://doi.org/10.3390/fermentation9070609

Chicago/Turabian Style

Cardona, Carlos Ariel, Mariana Ortiz-Sanchez, Natalia Salgado, Juan Camilo Solarte-Toro, Carlos Eduardo Orrego, Alexander Perez, Carlos Daniel Acosta, Eva Ledezma, Haminton Salas, Javier Gonzaga, and et al. 2023. "Sustainability Assessment of Food Waste Biorefineries as the Base of the Entrepreneurship in Rural Zones of Colombia" Fermentation 9, no. 7: 609. https://doi.org/10.3390/fermentation9070609

APA Style

Cardona, C. A., Ortiz-Sanchez, M., Salgado, N., Solarte-Toro, J. C., Orrego, C. E., Perez, A., Acosta, C. D., Ledezma, E., Salas, H., Gonzaga, J., & Delgado, S. (2023). Sustainability Assessment of Food Waste Biorefineries as the Base of the Entrepreneurship in Rural Zones of Colombia. Fermentation, 9(7), 609. https://doi.org/10.3390/fermentation9070609

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