Open access peer-reviewed chapter

Recycled Polypropylene-Coffee Husk and Coir Coconut Biocomposites: Morphological, Mechanical, Thermal and Environmental Studies

Written By

Miguel Ángel Hidalgo-Salazar, Juan Pablo Correa-Aguirre, Juan Manuel Montalvo-Navarrete, Diego Fernando Lopez-Rodriguez and Andrés Felipe Rojas-González

Reviewed: 23 September 2018 Published: 27 November 2018

DOI: 10.5772/intechopen.81635

From the Edited Volume

Thermosoftening Plastics

Edited by Gülşen Akın Evingür, Önder Pekcan and Dimitris S. Achilias

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Abstract

In this work, biocomposites based on recycled polypropylene (r-PP) and two different natural fibers (coffee husk-CHF and coconut coir-CCF fibers) were prepared using extrusion and injection molding processes. Also, the addition of maleated polypropylene (MAPP) as a coupling agent on the biocomposites was explored. Recycled polypropylene and its biocomposites were tested following ASTM standards in order to evaluate tensile and flexural mechanical properties. Also, thermal behavior and the morphology of these materials have been studied by differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and scanning electronic microscopy (SEM). The experimental results showed that the addition of CHF and CCF to the r-PP resulted in an increase in the flexural modulus and thermal properties of the composites but resulted in poor impact properties. Thermal characterization showed that CHF possesses a better thermal stability compared to CCF. However, both fibers act as nucleating agents and generate an increase in the thermal stability of the r-PP phase. Finally, it was observed that addition of 4% of MAPP significantly improved the mechanical strength and impact behavior of the biocomposites. Regarding environmental issues, a cradle to gate life cycle assessment was made in order to define the carbon footprint of the materials.

Keywords

  • coconut coir
  • coffee husk
  • recycled polypropylene
  • biocomposites
  • MAPP

1. Introduction

Residual biomass is defined as a compound that contains mainly nonedible vegetal material called lignocellulose. Lignocellulose is the most important component found in plant tissues and is composed of three different polymers: cellulose, hemicellulose, and lignin. Each of these components can be found on different parts of the biological structure of the plant, being the hemicellulose is the matrix that covers the cellulose skeleton and the lignin is the encrusting material or protective layer [1].

On the other hand, a plastic waste is defined as the material recovered by the final users after having complied with the use for which it was produced [2, 3]. This type of waste is classified in two categories: postconsumer plastic and postindustrial. The first one refers to residual plastics that have been previously used by people. In contrast, postindustrial or preconsumer plastics are defined as the industrial reject material (cuts of materials and damaged pieces, among others) that is not returned to the production line. These are recycled to a great extent, due to the high availability that exists and its relative degree of purity.

Around 140 billion tons/year of biomass wastes are generated in the world as a result of agricultural activities [4] and 230 million tons/year of plastic wastes [5] related to the production of these materials. In the case of Colombia, an estimated production of 72 million tons/year of residual biomass is reported [6]. Crops such as coffee, bananas, coconut, corn, and sugar cane contribute a large proportion to this production. Waste generated by the coconut processing industry includes its shell, water, and coir. Shell and coir represent 35% in weight of the entire fruit. In Colombia, about 4100 tons/year of this type of waste are produced that is the reason why some studies are being carried out in the biotechnology and construction fields to give them an adequate use [7]. There are two types of coir, the brown coir which is obtained from mature coconuts and the white coir which is extracted from green coconuts. Generally, this type of fiber has a length of 350 mm, a diameter between 0.12 and 0.25 mm, and a density of 1250 kg/m3. It is a material resistant to microbial degradation and salt water. It has a high content of lignin and is defined as a strong material with a high tensile strength [8]. On the other hand, one of the wastes generated in large quantities during the process of the coffee bean transformation is the coffee husk. This material represents 4.5% of the grain composition, and about 33.000 tons/year is produced in Colombia [9]. The proposed uses for this waste are fermentation in order to obtain enzymes, organic acids, or bioethanol. Also, it is used as a substrate for the growth of fungi and other microorganisms [10]. This type of vegetable fiber has an average diameter of 1.2 mm, a high content of holocellulose, as well as a significant proportion of lignin [11].

On the other hand, the national demand for plastic resins is close to 1.2 million ton/year [12], of which about 27.5% are recovered [13]. The rest of the material is disposed in landfills or inadequately in open dumps. Tables 1 and 2 show the waste generation of the main agricultural crops and plastic resins in Colombia, respectively.

Crop Production (Ton/year) [6] Waste Waste factor (Tonwaste/Tonproduct) [6] Waste mass (Ton/year)
Oil Palm 3.039.637 Coarse Leaves 0.22 401.232
Fiber 0.63 1.148.982
Palm Coir 1.06 1.933.209
Sugarcane 24.811.681 Leaves 3.26 10.110.760
Bagasse 2.68 8.311.913
Coffee 850.500 Pulp 2.13 1.811.565
Husk 0.21 178.605
Stem 3.02 2.568.510
Corn 1.293.975 Leaves and stems 0.93 1.203.396
Cob 0.27 349.373
Fibers 0.21 271.734
Rice 2.243.981 Straw 2.35 5.273.355
Husk 0.2 448.796
Banana 2.026.828 Coir 1 2.026.828
Stem 5 10.134.140
Discard fruit 0.15 304.024
Skin 0.3 608.048
Coconut 129.956 Coir 0.35 [14] 45484.6

Table 1.

Generation of lignocellulosic waste in Colombia.

Polymer National demand (Ton/year) [12] Waste mass (Ton/year)
PVC 220.000 159.500
PS 78.000 56.550
LDPE 119.000 86.275
HDPE 160.000 116.000
PP 240.000 174.000
PET 163.000 118.175

Table 2.

Generation of plastic waste in Colombia.

There are different studies from different areas related to the use of biomass waste. A great number of treatments have been proposed to add value to this type of material or simply to change its characteristics and make its final disposition simpler [15]. The main areas for the use of biomass waste are animal and human nutrition, energy generation, biotechnology industry, and the production of biocomposites (natural fiber reinforced polymers or NFRP).

Since several decades, biocomposites have emerged as an option aimed to solve several issues within the composite materials science. In most of published cases in literature, the use of natural fibers combined with polymers is carried out to achieve some degree of reinforcement from the fibers to the polymer. Many studies report the use of natural fibers such as flax, hemp, jute, sisal, coconut fiber, banana, and fique, among many others [16], using an extensive variety of polymer matrices like polyethylene [17, 18], polypropylene (PP) [19] polystyrene (PS) [20], epoxy resin (EP) [21], natural rubber [22], and recycled polypropylene (r-PP) [2]. Clear effects have been seen in the improvement of mechanical and thermal performance.

These materials have the potential to be used in different industrial areas, mostly on automotive, industrial, construction, and decoration applications [23]. Due to its renewable nature, research and development of biocomposites have been constantly increasing, and its applications are spreading to multiple areas, being its main attractive is the combination between low price, biodegradability, availability, and their capability to substitute other compounds that use regular reinforcements as glass or carbon fibers [24, 25]. Characteristics as the ones mentioned before contribute to lower the environmental burden of these kinds of materials throughout their life cycle. When compared to traditional plastic products, the substitution of the polymeric material with a natural fiber fraction on the composite can reduce environmental impacts derived from raw material acquisition, operation life of the product, and end of life processes. Since natural fibers are in most cases residues from agricultural practices, their incorporation on an industrial processes serves as a waste management alternative where the fibers are recycled as reinforcement for plastic materials, helping to minimize environmental burdens from their primary process in agriculture where they are treated as conventional waste. Also, the reincorporation of these residues contributes to assess environmental impacts of raw material transportation at a local scale. Furthermore, this material fraction substitution reduces the amount of plastic material needed to fabricate one product, and as a consequence, less quantity of polymers are demanded for production, and less extraction of fossil resources has to be made in order to supply this productive sector. Regarding processing, biocomposites offer a wide amount of advantages related to processing techniques. These materials not only can reduce the melting temperatures on the process, contributing to lower the embodied energy of the product and consequently the carbon emissions of the product, but also can be processed with existing tools and procedures, which means that the producer does not have to make major adjustments on his production line to work with them.

Nevertheless, not every composite is easy to process, and so traditional material may have a favored position related to biocomposites due to its advanced and well-studied processing techniques, and as direct result, fewer residues can be achieved during the fabrication process. Still some experiences with biocomposites have led to significant reduction of Greenhouse Gasses during processing and transformation stages [26]. In the case of thermoformed trays, it was found that by replacing talc fillers with starch fibers, the carbon footprint for this product was reduced around a 20% regarding gas emissions from processing [27].

Other outstanding characteristic of biocomposites compared to their traditional counterparts is the reduction of weight for the final product. For automotive applications, this characteristic could allow savings of carbon emissions by reducing the total weight of the vehicle and thus consuming less fuel without compromising the integrity of the material properties and the security guidelines of the automotive industry. Materials that possess high specific stiffness and specific strength are often very valuable in applications in which weight will be a critical factor [25], which makes biocomposites ideal candidates for automobile design and spare parts production. Different automakers believe that all advanced composite car bodywork could be around 50–67% lighter than current similarly sized steel auto-body, 40–55% lighter than an aluminum auto-body, and 25–30% lighter than a steel auto-body. Nevertheless, there are not bio-based materials on commercial use or development that can be fully considered sustainable [28]. It is a fact that products derived from renewable resources tend to be competitive in the market if they prove to be similar or better than other products regarding performance and price. In fact, Reinders et al. [29] said that full bio-based brands usually have stronger purchase intentions than other brands, including those that are partially composed by bio-based products. However, the fact that a product has a renewable origin does not mean that its environmental performance is better when comparing it to traditional products in the market. A case-based evaluation is necessary to define the environmental aspects of a product and thus the sustainable nature of the product [30]. Virtually, biocomposites can be considered sustainable materials compared to traditional composites or fossil-based polymeric materials. The renewable provenance of these materials and the availability of the resource can suggest better environmental performance among its life cycle, easing pressures over the natural systems. However, critical aspects of the elaboration process during the materials life cycle can lead to different types of environmental impacts, which in turn, may be worse than the ones derived from traditional composite elaboration. Manufacturing techniques should be strongly studied and refined in order to make them mainstream and reduce concerns and impacts regarding their development degree. Therefore, as mentioned before, this is the main reason why every case of composite material has to be reported on a case-based scenario in order to objectively define the sustainable nature of products developed with these kinds of materials. In this book chapter, biocomposites based on recycled polypropylene (r-PP) and two different natural fibers (coffee husk and coconut coir fibers) with maleated polypropylene (MAPP) as a coupling agent were prepared through extrusion and injection molding processes. Morphological, mechanical, and thermal properties of the biocomposites were investigated with the aim to understand the effect of fiber type and MAPP addition on the r-PP matrix properties. Also, the environmental performance of the materials was studied through a carbon footprint evaluation on a cradle to gate life cycle assessment.

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2. Materials and methods

2.1 Materials

Coconut coir (CCF) was obtained from “Kiero Coco” S.A (Manizales-Colombia), and coffee husk fiber (CHF) was obtained from a local coffee mill located in Tuluá-Colombia. Recycled polypropylene (rPP) was a postindustrial waste collected from extrusion and injection processes carried out in the materials laboratory of the Autónoma de Occidente University (Cali, Colombia). Maleic anhydride grafted polypropylene (Licocene MAPP 6452 by Clariant) was used as coupling agent.

2.2 Natural fibers characterization

The time between the generation of the different fiber waste and its storage (at −20°C) was less than 8 hours, in order to minimize biochemical changes in the fibers. After separation, the fibers were dried in an oven at 45°C until reaching constant weight. Drying process was carried out at this temperature in order to avoid the elimination of volatile compounds and degradation of the lignocellulosic composition. After drying, the samples were milled (particle size <1 mm) in an impact mill (Retsch SR200). The milling time was 15 minutes for CHF and 30 minutes for CCF. Finally, fibers samples were stored in polyethylene bags with a hermetic seal at room temperature. After the characterization, the fibers were sieved in ASTM sieves, with the purpose of reaching a 60 mesh particle size, established by the ASTM standards for the analysis of solid samples.

The fibers (CHF and CCF) were characterized by proximate and elemental analysis, calorific power, and structural composition. These analyzes were performed in triplicate. Through the proximate analysis, the percentage of moisture content (M), volatile matter (VM), ash (A), and fixed carbon (FC) was determined according to ASTM D7582-12 [31]. These analyzes were performed using approximately 1.0 g of sample in a Leco brand thermogravimetric analyzer, TGA-601. Table 3 shows the equations used in the determination of the proximate analysis of CHF and CCF. The calorific value was calculated using 1.0 g of sample in a Leco AC-350 calorimeter pump, following the ASTM 5865-13 standard. The calorific value establishes the amount of energy per unit mass that the waste can deliver when it is completely oxidized. This property was calculated using the equation also presented in Table 3.

Parameter Equation
Moisture content at 105°C % M 105 = SW DSW SW × 100 (1)
Ash % A = ACW CW DSW × 100 (2)
Volatile matter % VM = DSW VSW DSW × 100 (3)
Fixed carbon % FC = 100 % M 105 % A % VM (4)
Superior calorific power SCP = 20.7999 0.3214 VM FC + 0.0051 VM FC 2 11.2277 A VM + 4.4953 A VM 2 0.7223 A VM 3 + 0.0383 A VM 4 + 0.0076 FC A (5)

Table 3.

Equations used in the proximate analysis of lignocellulosic residues.

SW: sample weight (gr), DSW: dry sample weight (gr), ACW: crucible weight + ashes (gr), CW: crucible weight, VSW: devolatilized sample weight (gr).

The elemental analysis was carried out in a Leco CHN-628 analyzer to determine the content of carbon (C), hydrogen (H), and nitrogen (N) according to ASTM D 5373-14 and in a Leco S-632 to quantify the sulfur content (S) according to ASTM D 4239-14. A weight sample of 0.1 g was used on both equipments.

The structural composition of the fibers was determined by the quantification of extractive compounds (EXT), lignin (LGN), cellulose (CEL), hemicellulose (HMC), and inorganic compounds (ashes). The preparation of the fibers was carried out following the standard NREL/TP-510-42620. In order to obtain the percentages of CEL, HMC, and LGN, it is necessary to perform two Soxhlet extractions to the fibers using water and ethanol as solvent, as indicated in the NREL/TP-510-42619 standard. The insoluble acid lignin percentage (LGN) or Klason lignin was calculated according to the standard NREL/TP-510-42618. The holocellulose percentage (HLC) was determinate by following the ASTM D1104 standard, while the cellulose percentage was determinate following the Han and Rowell methods [32]. Table 4 shows the equations used for structural composition calculation of CHF and CCF.

Equation Reference
% EXT water = P EXT water PR × % MS × 100 (6) [33]
% EXT ethanol = P EXT ethanol PR × % MS × 100 (7)
% EXT = % EXT water + % EXT ethanol (8)
% LGN = PLGN P R lEXT × % MS × 100 % EXT (9)
% HCL = PHCL PR lEXT × % MS × 100 % EXT (10) [32, 33]
% CEL = PCEL PHCL × % HCL (11) [32]
% HMC = % HCL % CEL (12)

Table 4.

Equations used in the determination of the structural composition of lignocellulosic residues.

Where, % EXT: proportion of total extractives, % EXTwater: proportion of extractives in water, % EXTethanol: proportion of extractives in ethanol, PEXTwater: weight of extractives in water (gr), PEXTethanol: weight of extractives in ethanol (gr), PR: dry sample weight (gr), % MS: percentage of dry matter, % LGN: proportion of lignin, PLGN: weight of lignin (gr), PRlEXT: weight of the sample free of extractives (gr), % HCL: proportion of holocellulose, PHCL: weight of holocellulose (gr), % CEL: percentage of cellulose, PCEL: weight of cellulose (gr), % HMC: proportion of hemicellulose.

2.3 Preparation of the biocomposites

r-PP and its biocomposites were compounded in a co-rotating twin screw extruder (Harden Industries Ltd., China). For each case, MAPP, CCF, and CHF fibers were physically premixed with r-PP pellets in a plastic bag using 30% of fibers and 4% of MAPP in weight. A temperature gradient from 140 to 170°C from the feeder zone to the die was used. The rotation speed of the twin-screw was 50 rpm. The outcoming cord of r-PP and its biocomposites from the extruder were pelletized using a mill which produced pellets of about 5 mm long. After the pelletization process, the r-PP and its biocomposites samples were dried in an oven at 85°C followed by an injection molding process. A BOY XS (BOY Machines, Inc., USA) microinjection molding machine was used to prepare samples for flexural and impact tests. Table 5 summarizes the injection-molding processing parameters used. Figure 1 shows the injected specimens of neat PP, r-PP, r-PP-CHF, and r-PP-CCF biocomposites.

Parameter Value
Barrel temperature(°C) 185
Nozzle temperature (°C) 180
Injection time (s) 3.8
Cycle time (s) 37.5
Screw travel (mm) 18.7
Back pressure (bar) 60
Injection pressure (bar) 80

Table 5.

Injection molding parameters used.

Figure 1.

Injected specimens of: (a) neat PP, (b) r-PP, (c)-PP-CHF and (d) r-PP-CCF biocomposites.

2.4 Characterization of the biocomposites

2.4.1 Flexural properties

Three point bending flexural tests were performed with an INSTRON universal testing machine model 3366 according to the ASTM D 790-17 as shown in Figure 2. The tests were carried out on bars of rectangular cross section at 23°C and at a rate of crosshead motion between 1.34 and 1.44 mm/min. This rate was determined based on the dimensions of the specimens. Also, the distance between the supports was 50 mm and the tests were conducted up to 5% strain. All the results were taken as the average value of five samples.

Figure 2.

Assembly used for flexural test (according to ASTM D790).

2.4.2 Impact properties

The impact strength of PP and biocomposites was determined with an Izod Tinius Olsen impact pendulum equipped with a 4.53 N pendulum. Prior to the test, the materials were subjected to conditioning for 48 hours at 50% relative humidity and a temperature of 25°C. The specimens were made following the standard ASTM D256, and the starting angle of the test was 150° as shown in Figure 3. All the results were taken as the average value of five samples.

Figure 3.

Pendulum type impact test machine used for the notched IZOD impact measurements.

2.4.3 Thermal characterization

DSC test was carried out using a TA Q2000 differential scanning calorimeter under nitrogen atmosphere at a scanning rate of 10°C/min, with a sample of 10 mg in aluminum pans. The thermal history of the samples was erased by a preliminary heating cycle at 10°C/min from 20 to 200°C and maintaining it at that temperature for 10 min to melting residual crystals, cooling at 10°C/min to 0°C, and finally, they were heated at °C/min from 0 to 200°C. The crystallization temperatures (Tc) and melting temperatures (Tm) were determined from cooling and second heating scans. The melting enthalpies values were normalized according to the proportion of the components in the samples. The crystallinity (χc) was determined from the Eq. (13):

χ c = Hm H m 0 1 w Fiber 100 E13

where wFiber is the CHF or CCF fiber mass fraction, ΔH is the melting enthalpy of the sample, and H m 0 is the specific enthalpy of melting for 100% crystalline PP. This value was reported in literature as 293 J/g [34].

2.4.4 Morphology

Scanning electronic microscopy (SEM) of the biocomposites was carried out on the cryogenic fracture surfaces of the specimens using a Quanta FEG 250 microscope operating at a voltage of 10 kV. The samples were previously sputter coated with gold to increase their electric conductivity. Determinations were performed in different areas of the SEM micrograph.

2.4.5 Statistical analysis

Flexural and impact properties of the materials were subjected to analysis of variance (ANOVA), and the Tukey’s test was applied at the 0.05 level of significance. All statistical analyses were performed using Minitab Statistical Software Release 12 (Pennsylvania, United States).

2.5 Environmental characterization of the materials

The environmental characterization of the materials was made through a cradle to gate Life Cycle Assessment based on the ISO 14041 parameters. The only indicator used for this evaluation was the carbon footprint, and the information for the emission factors was taken from secondary information found in literature.

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3. Results and discussion

3.1 Natural fibers characterization

The proximate analysis of CCF and CHF is presented in Table 6. Comparing the obtained values, it is observed that the fiber with the highest moisture content is the CCF. This parameter is directly related to the dispersion of the fibers in a polymer matrix during the melting processing [39]. Higher moisture content causes lower dispersion of a lignocellulosic material in a polymer matrix. This effect can be related with the final properties of the obtained biocomposites. Also, CHF presented the highest volatile matter value. Volatile matter is related to the cellulose and hemicellulose percentage in the fibers. It is reported that hemicellulose influences the distance of interfibrillary cellulose, impacting fiber stiffness [40]. For that reason, a higher content of volatile matter represents a significant proportion of holocellulose in the fiber and represents higher toughness and a better fatigue behavior in the fiber [40]. Therefore, better results can be expected in the mechanical properties of a biocomposite obtained from CHF compared to a CCF-based biocomposite. The results show that the moisture content value in CCF is higher than the data presented by several authors [38, 41, 42, 43]. Also, CHF volatile matter content is higher in comparison with the values reported in literature [35, 36, 37]. On the other hand, ash, fixed carbon percentages, and calorific value lower of CHF are lower than the values reported in literature [35, 36, 37, 41, 43, 44, 45].

Natural fiber % M 105 % A % VM % FC SCP (MJ/Kg) References
CHF 11.61 ± 0.08 1.65 ± 0.05 83.08 ± 0.08 3.66 15.93 Obtained values
9.22 − 25.3 1.71 − 2.5 68.2 − 81.87 16.42 − 18.5 19.8 − 21.41 [35, 36, 37]
CCF 12.15 ± 0.11 3.57 ± 0.08 73.07 ± 0.04 11.21 18.41 Obtained values
9.65 − 10.1 3.2 − 5.56 69.35 − 75.5 11.2 − 15.44 14.67 -18.74 [38]

Table 6.

Proximate analysis of the natural fibers.

The elemental analysis values of the fibers are presented in Table 7. The results show that the carbon content in the CCF (53.88%) was higher in comparison with the reported values in literature, while the oxygen content was lower. On the other hand, CHF elemental analysis values are within the ranges established by other authors. Atomic ratios O/C and H/C obtained for CHF and CCF were 0.61, 0.54, 1.63, and 1.45, respectively. These results are in accordance with the values of biomass established in the Van Krevelen diagram [31]. The values of the O/C ratio obtained can be attributed to a high content of cellulose and hemicellulose in the biomass [3, 47]. This O/C relationship can be used as a parameter to evaluate the polarity of fibers in the production of biocomposites materials, being related to the content of hydroxyl groups. These groups are reactive centers of high polarity, which influence the formation of hydrogen bonds and the compatibility between fibers and a polymer [48]. For this reason, the O/C ratio allows to estimate the interaction degree between the lignocellulosic reinforcement and the polar polymeric matrix used [3], and its value is higher for CHF compared to CCF.

Natural Fiber C (%) H (%) N (%) O (%) S (%) Reference
CHF 50.72 6.88 1.07 41.27 0.06 Obtained values
40.1–52.56 4.9–7.08 0–5.2 39.54–49.1 0–0.35 [35, 36, 37, 46]
CCF 53.88 6.51 0.68 38.84 0.08 Obtained values
47.25–48.58 5.7–6.74 0–3.04 43.74–45.6 0 [38, 46]

Table 7.

Elemental analysis of the natural fibers.

The structural compositions of the fibers are presented in Table 8. CHF presented a higher cellulose content (33.38%) compared to CCF (22.24%). Cellulose is considered as a semicrystalline biopolymer with a fibrous and rigid structure, which positively affects the stiffness in biocomposites materials [52]. Also, a greater amount of cellulose is related to better compatibility between the fibers and the polymeric matrix and a better mechanical performance of the biocomposite [53]. Regarding the lignin content, CCF shows a greater quantity (25.42%) compared to CHF (17.31%). This type of compound is considered as an amorphous polymer with chemical heterogeneity and a low physical consistency. Bajwa et al. [48] mentioned that increase in the lignin content decreases the mechanical resistance of thermoset biocomposites.

Natural Fiber Cellulose (%) Hemicellulose (%) Lignin (%) Ashes (%) Extractives (%) References
CHF 33.38 ± 0.89 13.06 ± 0.60 17.31 ± 0.68 1.84 ± 0.06 34.42 ± 0.94 Obtained values
29.17 − 35.4 18.2 − 28.96 22.35 − 23.2 1.4 − 4.6 17.67 − 21.8 [49, 50]
CCF 22.24 ± 1.46 15.62 ± 1.25 25.42 ± 0.81 3.71 ± 0.08 33.00 ± 0.28 Obtained values
30.22 − 47.7 21.9 − 25.9 17.8 − 39.66 0.8 − 5.56 6.8 − 18.66 [8, 38, 51]

Table 8.

Structural analysis of the natural fibers.

3.2 Characterization of the biocomposites

3.2.1 Mechanical properties

The influence of CHF, CCF fibers, and MAPP addition on the r-PP flexural and impact properties was evaluated. The tensile behavior of the materials is shown in Figure 4. Table 9 presents flexural modulus, flexural strength, and impact strength values of the materials.

Figure 4.

Average flexural stress vs. deformation of r-PP and r-PP biocomposites.

Sample Flexural and impact properties*
Flexural properties Impact properties
Modulus (MPa) Strength (MPa) Impact strength (kJ/m2)
r-PP 1193 ± 50a 37.1 ± 1.7a 11.5 ± 1.8a
r-PP-CHF 2350 ± 71b 37.2 ± 0.3a 7.3 ± 0.4b
r-PP-CHF-MAPP 2309 ± 114b 43.1 ± 0.9b 15.5 ± 1.3c
r-PP-CCF 1349 ± 10c 40.1 ± 0.7c 10.7 ± 1.2a
r-PP-CCF-MAPP 1351 ± 12c 43.3 ± 0.4b 16.5 ± 0.7c

Table 9.

Flexural and impact properties of r-PP and r-PP-natural fiber biocomposites.

Mean of five replications ± standard deviation.


a–c Different letters in the same column indicate significant differences (p < 0.05).

The results show that CHF and CCF fibers incorporation induce a significant improvement of flexural properties of r-PP. r-PP-CHF and r-PP-CCF biocomposites flexural modulus (FM) increased 97 and 13%, respectively, in comparison with r-PP. Although the FM values were improved in both biocomposites, the effect was sharper for r-PP-CHF. This can be explained with the structural analysis of the fibers (Section 3.1). The cellulose content is related to the oxygen proportion and is associated with the resistance degree of the fiber. In this sense, lignocellulosic materials with a higher oxygen content or a higher value in the O/C ratio will have a better mechanical performance [54, 55, 56, 57]. CHF presented a higher cellulose content in comparison with CCF (33.38 and 22.24%, respectively), which could explain the greater improvement in FM values with this fiber. It was also observed that MAPP addition did not generate significant differences (p ≥ 0.05) on the FM values compared to r-PP-Fiber biocomposites.

On the other hand, CHF and CCF fibers addition generate slight improvements (1 and 8%) on the flexural strength (FS) compared to neat r-PP. These results agree with previous studies found in literature [58, 59, 60]. However, for both r-PP-fiber biocomposites, MAPP addition causes an increase in FS of 16% in comparison with r-PP.

Impact test results shows that CHF and CCF addition cause a decrease on the impact strength of 37 and 6%, respectively, in comparison with the r-PP. Similar results were reported by several studies about the morphology and mechanical properties of PP-natural fiber biocomposites [60, 61, 62, 63]. However, for r-PP-CHF and r-PP-CCF, an increase on the impact strength of 35 and 44% was observed. This result shows that MAPP addition increases the capacity of r-PP to absorb energy. This phenomenon can be explained by a possible energy absorption promoted by fracture mechanisms, which involve detachment, slippage, and fragmentation of the fiber. Mechanisms are not present on the r-PP and r-PP biocomposites without MAPP.

The improvements in FS and impact strength with MAPP can be explained with the improved interfacial adhesion that MAPP caused. MAPP addition influences the chemical interaction between the hydrophobic matrix and the hydrophilic fiber through the formation of covalent bonds between the maleic anhydride groups and the hydroxyl groups present on the surface of the cellulosic fiber [57, 60]. In addition, Migneault et al. [55] mentioned that esterification reactions produced by the interaction between the natural fiber and the compatibility agent increase with the oxygen content of the fiber. Oxygen is directly related to the proportion of carbohydrates present in the surface of the fiber, creating a greater number of polar sites (hydroxyl groups) to react.

3.2.2 Thermal characterization

3.2.2.1 Differential scanning calorimetry (DSC)

DSC curves for r-PP and their biocomposites with CHF and CCF are shown in Figure 5. Numerical values of the thermal events are shown in Table 10.

Figure 5.

(a) Cooling and (b)second heating DSC curves for r-PP and r-PP biocomposites.

Sample Cooling Second heating
Tc* (°C) Tm* (°C) ΔHm (J/g) χ (%)
r-PP 116 165 82 40
r-PP-CHF 121 164 64 44
r-PP-CHF-MAPP 122 162 63 44
r-PP-CCF 118 165 61 42
r-PP-CCF-MAPP 119 164 63 44

Table 10.

Thermal properties on cooling and second heating DSC scans of the samples.

Tc and Tm were taken at the maximum peak of crystallization and melting peaks.


The DSC cooling curve of r-PP (Figure 5a) shows a main exothermic peak located around 116°C corresponding to the crystallization of PP chains. When CHF, CCF, and MAPP were added into r-PP, a 3–6°C shift in the crystallization temperature of r-PP was observed. This decrease indicates that natural fibers in biocomposites can act as a nucleation agent. The second heating runs of r-PP and r-PP biocomposites were shown in Figure 5b. All samples exhibit an endothermic peak between 162 and 165°C corresponding to the melting of the PP matrix. These results indicate that the addition of the CHF and CCF fibers does not disturb the melting processes of the PP matrix. Also, it is observed that PP crystalinity fraction melted during heating was 40%. For r-PP biocomposites, the crystalline phase content increases slightly up to 44%. These results show that CHF and CCF fibers promote the formation of crystalline phases in the r-PP present in the biocomposites. Some reports that were related to fiber-reinforced composites have found that the fibers act as nucleation points that increase the crystallinity of the polymer phase [64].

3.2.2.2 Thermogravimetric analysis (TGA)

TG and DTG curves were used to determine the thermal stability of coffee husk (CHF) and coir coconut fibers (CCF). The results are shown in Figure 6. Also, main thermal parameters obtained from these curves are summarized in Table 11.

Figure 6.

(a) TG and (b) DTG curves of CHF and CCF fibers at heating rates of 10°C/min.

Sample Degradation stage To (°C) Tmax (°C) Residual Char (%)
Coffee husk fiber (CHF) 1 266 299 25
2 336 358
Coir coconut fiber (CCF) 1 245 284 31
2 314 328

Table 11.

Thermal degradation data of the fibers at 10°C/min in nitrogen atmosphere.

As shown in TG curve (Figure 6a), fibers present three weight loss regions which are located around 60–100°C, 240–350°C, and 350–600°C. The first weight loss region below 100°C can be attributed to the evaporation of superficial water present in the sample, while the other regions might be associated with the decomposition of the fiber constituents. DTG curves (Figure 6b) show a first decomposition peaks at 299 and 284°C for CHF and CCF, respectively. These peaks correspond to the temperature of maximum weight loss rate (Tmax) of hemicellulose, while the second peaks located at 358°C and 328°C (for CHF and CCF) are related to the Tmax of α-cellulose. The residual weights of CHF and CCF have also been measured and are equal to 25 and 31% for CHF and CCF at 600°C. This results show that CHF possesses a better thermal stability compared to CCF.

TG and DTG curves for r-PP and r-PP biocomposites are shown in Figure 7. Also, main thermal parameters obtained from these curves are summarized in Table 12.

Figure 7.

(a) TG and (b) DTG curves of r-PP and r-PP biocomposites at heating rates of 10°C/min.

Sample Degradation stage Tonset (°C) Tmax (°C) Residual Char (%)
r-PP 1 368 428 0.4
r-PP-CHF 1 260 354 8.4
2 402 445
r-PP-CHF-MAPP 1 264 355 8.2
2 428 460
r-PP-CCF 1 243 327 11.9
2 427 460
r-PP-CCF-MAPP 1 259 360 7.4
2 411 453

Table 12.

Thermal degradation data of r-PP and r-PP biocomposites.

Recycled PP degradation occurs in a single step process with an onset temperature (To) located at 368°C and a Tmax of 428°C. The residue after final degradation was 0.4%. Regarding biocomposites, TG and DTG show that the addition of coffee husk and coir coconut fibers produces an increase in the thermal stability of the r-PP phase. As shown in Table 12, To increases between 34 and 60°C. Also, Tmax increases between 33 and 28°C in comparison to r-PP (as indicates in the orange area). This increment in the thermal stability of the biocomposites has been previously observed in different studies, indicating that the incorporation of fibers in the material induces spherulite nucleation points, increasing the crystallinity of the polymer and improving its thermal properties [64].

3.2.3 Morphology

Figure 8a and b shows SEM images of the fractured surfaces of r-PP-CHF and r-PP-CCF, respectively. In these images, gaps between the fibers and the surrounding r-PP matrix can be clearly observed, which indicate a poor interfacial adhesion between the r-PP matrix and the natural fibers [65]. For Figure 9a and b, with the MAPP addition, gaps between natural fibers and r-PP were significantly reduced, and as a consequence, an improvement over the interface for the composite can be appreciated. This result confirms that MAPP addition improved the interfacial property of the hydrophobic PP matrix and the hydrophilic natural fibers. Also, this can be related with mechanical properties enhancement observed in the biocomposites after the MAPP addition.

Figure 8.

SEM pictures for rPP-CHF and rPP-CCF biocomposites.

Figure 9.

SEM pictures for rPP-CHF-MAPP and rPP-CCF-MAPP biocomposites.

3.2.4 Environmental characterization of the materials

When assessing the carbon footprint of the material, the stages of the life cycle were limited to raw material acquisition, transport, and processing. Since the material was not transformed into a product, the functional unit was determined as the 1 kg of manufactured material and the carbon footprint was determined on a cradle to gate life cycle. The comparison was made between the biocomposite materials, recycled polypropylene, and neat polypropylene. Neat polypropylene was brought from Medellín 412 km away from the final user’s location. Coffee husk was delivered from Tuluá (104 km) and coconut coir from Manizales (270 km). All the materials were transported on a diesel-powered truck to the final user location. Fibers were blended with the rPP matrix through an extrusion process and subsequentially pelletized with a 1.5 kW mill.

Emissions were determined through emission factors for every activity involved on the elaboration of the material using the Eq. (14). For each emission factor, there is one activity related in order to calculate the emissions for the product elaboration. The results of those emissions are listed for each biocomposite on Table 13.

Emission = Emission factor activity E14
rPP-CHF Biocomposite
Stage Material Sub-stage Emission factor Activity Emission
Raw material Coffee husk Production 0.52 kg CO2/kg [66] 3 kg 1,56 kg CO2
Grinding 0.374 kgCO2/kWh [67] 0.55 kWh 0.21 kg CO2
Transport 2.61 kgCO2/L [68] 36.4 L 95.01 kg CO2
Recycled PP Process 0.38 kg CO2/kg [69] 7 kg 2.66 kg CO2
Grinding 0.374 KgCO2/kWh [67] 1125 kWh 0.42 kg CO2
Processing Biocomposite Extrusion 0.374 KgCO2/kWh [67] 10.6 kWh 3.98 kg CO2
Grinding 0.374 KgCO2/kWh [67] 1.5 kWh 0.56 kg CO2
Total 104.4 kg CO2
rPP-CCF Biocomposite
Stage Material Sub-stage Emission factor Activity Emission
Raw material Coconut coir Production 0.27 Kg CO2/kg [70] 3 kg 0.81 kg CO2
Grinding 0.374 kg CO2/kWh [67] 1.1 kWh 0.41 kg CO2
Transport 2.61 kg CO2/L [68] 94.7 L 246.65 kg CO2
Recycled PP Process 0.38 kg CO2/kg [69] 7 kg 2.66 kg CO2
Grinding 0.374 kg CO2/kWh [67] 1125 kWh 0.42 kg CO2
Processing Biocomposite Extrusion 0.374 kg CO2/kWh [67] 10.6 kWh 3.98 kg CO2
Grinding 0.374 kg CO2/kWh [67] 1.5 kWh 0.56 kg CO2
Total 255.49 kg CO2
Recycled PP
Stage Material Sub-stage Emission factor Activity Emission
Raw material Recycled PP Process 0.38 kg CO2/kg [68] 10 kg 3.80 kg CO2
Grinding 0.374 kg CO2/kWh [67] 1.5 kWh 0.56 kg CO2
Total 4.36 kg CO2
Neat PP
Stage Material Sub-stage Emission factor Activity Emission
Raw material Neat PP Process 1.86 kg CO2/kg [71] 10 kg 18.60 kg CO2
Transport 2.61 kg CO2/L [68] 146.95 L 382.76 kg CO2
Total 401.36 kg CO2

Table 13.

Results of the emissions for the compared materials.

From Figure 10 emission accounting for each category, it could be noted that transport is the largest contributor to the overall emissions. Emissions on this stage are directly proportional to the amount of fuel used to transport the materials, and so, the further away the place, the greater the associated emissions. In order to achieve a more sustainable product, materials should be taken from regional suppliers to lower the footprint from transporting activities. Since rPP is produced inside the processing site, there is no emission associated to the transport of this material as stated on the life cycle boundaries for this particular case. Regarding raw material acquisition, the incorporation of natural fiber seems to improve the impact of the material compared to neat PP and recycled PP. For the coffee husk composite case, the carbon footprint on this stage for the 10 kg of material corresponds to 4.84 kg CO2 eq, and for coconut coir biocomposite, it corresponds to 4.29 kg CO2 eq. When compared to neat PP, a reduction in terms of carbon emissions of 76.93 and 73.78%, respectively, for rPP-CFH and rPP-CCH biocomposites. Also when compared to recycled polypropylene, it could be noted that emissions of rPP-CHF composite were slightly lower, reducing emissions on a 1.98%. Nevertheless, for rPP-CCF composite, the emissions raised on this stage on an 11.26% compared to rPP. In order to elaborate the composite, the fibers had to be blended with the recycled material, and so an extra process is needed as mentioned before. This extrusion and grinding process generates emissions of 4.54 kg CO2 eq for both biocomposites, adding emissions to the overall score. For this scenario, the carbon footprint for the finished materials is shown on Table 14. This table shows the carbon footprint in terms of a functional unit defined as 1 kg of processed material.

Figure 10.

Carbon emissions comparison for neat PP, r-PP, and r-PP biocomposites.

Material Carbon footprint (kg CO2 eq/kg)
Neat Polypropylene 40.14
rPP-CHF 10.44
rPP-CCF 25.55
Recycled polypropylene 0.44

Table 14.

Carbon footprint of the compared materials.

3.3 Conclusions

Biocomposites based on recycled PP (r-PP) and two different natural fibers (coffee husk-CHF and coconut coir-CCF fibers) were prepared by a melt extrusion and injection processes. Proximate, elemental, and structural analysis performed to the natural fibers show that CHF contains a higher cellulose percentage and a higher ratio O/C in comparison to CCF. This condition makes CHF more attractive for biocomposites production. The effects of natural fibers and MAPP addition on the properties of the biocomposites were explored. Flexural characterization showed that MAPP incorporation induces a significant improvement of flexural properties of r-PP biocomposites. Also, the impact tests showed that the addition of MAPP increases the capacity of r-PP biocomposites to absorb energy. Thermal studies show that CHF and CCF fibers addition did not disturb the melting process and improves the thermal stability of the PP matrix. Despite that for this case scenario, the values of the carbon footprint for both biocomposites is considerably high compared to the recycled polypropylene, it is important to keep in mind that the evaluation was made on a cradle to gate analysis, this means that the benefits of the mechanical and thermal enhancements are not taken into account on this evaluation among the use and operational phases. Depending on the application, the use of these biocomposites has the potential to reduce the carbon footprint over the lifespan of a product made with it, saving emissions derived from usage and disposal. Regarding the performance of both biocomposites, it can be noted that rPP-CHF has a better operation regarding environmental issues due to the saved emissions from raw material transportation. This means that in order to elaborate more sustainable biocomposites, raw material should be delivered on a local extent. Also in order to lower the environmental impacts of the material, the fiber fraction is an important issue due to the replacement of polymer fraction over the composite and thus saving emissions from polymer primary elaboration process.

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Acknowledgments

The authors acknowledge to the Universidad Autónoma de Occidente, Cali-Colombia and Universidad Nacional de Colombia, Manizales-Colombia for the technical and financial support.

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Conflict of interest

The authors of this manuscript declare that do not hold any conflicts of interest that might have any bearing on research reported in their submitted manuscript.

References

  1. 1. Amin FR, Khalid H, Zhang H, Rahman SU, Zhang R, Liu G, et al. Pretreatment methods of lignocellulosic biomass for anaerobic digestion. AMB Express. 2017;7(1):72. Available from: http://www.ncbi.nlm.nih.gov/pubmed/28353158
  2. 2. Leão RM, da Luz SM, Araújo JA, Christoforo AL, Leão RM, da Luz SM, et al. The recycling of sugarcane fiber/polypropylene composites. Materials Research. 2015;18(4):690-697. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000400690&lng=en&tlng=en
  3. 3. Sarasini F, Tirillò J, Zuorro A, Maffei G, Lavecchia R, Puglia D, et al. Recycling coffee silverskin in sustainable composites based on a poly(butylene adipate-co-terephthalate)/poly(3-hydroxybutyrate-co-3-hydroxyvalerate) matrix. Industrial Crops and Products. 2018;118:311-320. Available from: https://www.sciencedirect.com/science/article/pii/S0926669018303005
  4. 4. Abba HA, Nur IZ, Salit SM. Review of agro waste plastic composites production. Journal of Minerals and Materials Characterization and Engineering. 2013;1(05):271-279. Available from: http://www.scirp.org/journal/doi.aspx?DOI=10.4236/jmmce.2013.15041
  5. 5. Berto D, Rampazzo F, Gion C, Noventa S, Ronchi F, Traldi U, et al. Preliminary study to characterize plastic polymers using elemental analyser/isotope ratio mass spectrometry (EA/IRMS). Chemosphere. 2017;176:47-56. Available from: https://www.sciencedirect.com/science/article/pii/S0045653517302783?via%3Dihub
  6. 6. Ambientales UI de SC de E e I, Energética U de PMi, Instituto de Hidrología M y EAI. Atlas del potencial energético de la biomasa residual en Colombia. 2011; Available from: https://bdigital.upme.gov.co/handle/001/1058
  7. 7. Ebrahimi M, Caparanga AR, Ordono EE, Villaflores OB. Evaluation of organosolv pretreatment on the enzymatic digestibility of coconut coir fibers and bioethanol production via simultaneous saccharification and fermentation. Renewable Energy. 2017;109:41-48. Available from: https://www.sciencedirect.com/science/article/pii/S0960148117301933
  8. 8. Lertwattanaruk P, Suntijitto A. Properties of natural fiber cement materials containing coconut coir and oil palm fibers for residential building applications. Construction and Building Materials. 2015;94:664-669. Available from: https://www.sciencedirect.com/science/article/pii/S0950061815301823
  9. 9. Conesa JA, Sánchez NE, Garrido MA, Casas JC. Semivolatile and volatile compound evolution during pyrolysis and combustion of Colombian coffee husk. Energy & Fuels. 2016;30(10):7827-7833. Available from: http://pubs.acs.org/doi/10.1021/acs.energyfuels.6b00791
  10. 10. de Carvalho Oliveira F, Srinivas K, Helms GL, Isern NG, Cort JR, Gonçalves AR, et al. Characterization of coffee (Coffea arabica) husk lignin and degradation products obtained after oxygen and alkali addition. Bioresource Technology. 2018;257:172-180. Available from: https://www.sciencedirect.com/science/article/pii/S0960852418300488?via%3Dihub
  11. 11. Manals-Cutiño EM, Salas-Tort D, Penedo-Medina M. Tecnología Química. Vol. 38. Tecnología Química. [publisher not identified]; 2018. pp. 169-181. Available from: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S2224-61852018000100013
  12. 12. ACOPLASTICOS. Plastics in Colombia [Internet]. 2018. Available from: http://www.acoplasticos.org/index.php/mnu-nos/mnu-pyr/pec
  13. 13. CEMPRE-Colombia. National Study of Recycling and Recyclers: Approach to the Market of Recyclers and Experiences [Internet]. 2011. Available from: https://cempre.org.co/documentos/
  14. 14. Alvarado K, Blanco A, Taquechel A. Fibra de coco: Una alternativa ecológica como sustrato agrícola. [Internet]. 2008;3:30-31. Available from: http://www.actaf.co.cu/revistas/revista_ao_95-2010/Rev2008-3/
  15. 15. Jaramillo Henao G, Zapata Márquez LM. Aprovechamiento de los residuos sólidos orgánicos en Colombia. instname Univ Antioquia [Internet]. 2008; Available from: http://bibliotecadigital.udea.edu.co/dspace/handle/10495/45
  16. 16. Joseph K, Thomas S, Pavithran C. Effect of chemical treatment on the tensile properties of short sisal fibre-reinforced polyethylene composites. Polymer (Guildf). 1996;37(23):5139-5149. Available from: https://www.sciencedirect.com/science/article/pii/0032386196001449
  17. 17. Lin B-J, Chen W-H. Sugarcane bagasse pyrolysis in a carbon dioxide atmosphere with conventional and microwave-assisted heating. Frontiers in Energy Research. 2015
  18. 18. Coutinho FMB, Costa THS, Carvalho DL. Polypropylene-wood fiber composites: Effect of treatment and mixing conditions on mechanical properties. Journal of Applied Polymer Science. 1997;65(6):1227-1235. Available from: http://doi.wiley.com/10.1002/%28SICI%291097-4628%2819970808%2965%3A6%3C1227%3A%3AAID-APP18%3E3.0.CO%3B2-Q
  19. 19. La Mantia FP, Morreale M. Improving the properties of polypropylene–wood flour composites by utilization of maleated adhesion promoters. Composite Interfaces. 2007;14(7–9):685-698. Available from: https://www.tandfonline.com/doi/full/10.1163/156855407782106500
  20. 20. Khalil HPSA, Rozman HD, Ahmad MN, Ismail H. Acetylated plant-fiber-reinforced polyester composites: A study of mechanical, hygrothermal, and aging characteristics. Polymer - Plastics Technology and Engineering. 2000;39(4):757-781. Available from: http://www.tandfonline.com/doi/abs/10.1081/PPT-100100057
  21. 21. Hidalgo-Salazar MA, Correa JP. Mechanical and thermal properties of biocomposites from nonwoven industrial fique fiber mats with epoxy resin and linear low density polyethylene. Results in Physics. 2018;8:461-467. Available from: https://www.sciencedirect.com/science/article/pii/S2211379717322829
  22. 22. La Mantia FP, Morreale M. Green composites: A brief review. Composites. Part A, Applied Science and Manufacturing. 2011;42(6):579-588. Available from: https://www.sciencedirect.com/science/article/pii/S1359835X11000406
  23. 23. AL-Oqla FM, Salit MS. Materials Selection for Natural Fiber Composites. London: Woodhead Publishing; 2017. 278 p
  24. 24. Ashik KP, Sharma RS. A review on mechanical properties of natural fiber reinforced hybrid polymer composites. Journal of Minerals and Materials Characterization and Engineering. 2015;3(05):420-426. Available from: http://www.scirp.org/journal/PaperDownload.aspx?DOI=10.4236/jmmce.2015.35044
  25. 25. Väisänen T, Das O, Tomppo L. A review on new bio-based constituents for natural fiber-polymer composites. Journal of Cleaner Production. 2017;149:582-596. Available from: https://www.sciencedirect.com/science/article/pii/S095965261730358X
  26. 26. Cheung WM, Leong JT, Vichare P. Incorporating lean thinking and life cycle assessment to reduce environmental impacts of plastic injection moulded products. Journal of Cleaner Production. 2017;167:759-775. Available from: https://www.sciencedirect.com/science/article/pii/S0959652617319492
  27. 27. Pang M-M, Pun M-Y, Chow W-S, Ishak ZAM. Carbon footprint calculation for thermoformed starch-filled polypropylene biobased materials. Journal of Cleaner Production. 2014;64:602-608. Available from: https://www.sciencedirect.com/science/article/pii/S0959652613004873
  28. 28. Korol J, Burchart-Korol D, Pichlak M. Expansion of environmental impact assessment for eco-efficiency evaluation of biocomposites for industrial application. Journal of Cleaner Production. 2016;113:144-152. Available from: https://www.sciencedirect.com/science/article/pii/S0959652615018338
  29. 29. Reinders MJ, Onwezen MC, Meeusen MJG. Can bio-based attributes upgrade a brand? How partial and full use of bio-based materials affects the purchase intention of brands. Journal of Cleaner Production. 2017;162:1169-1179. Available from: https://www.sciencedirect.com/science/article/pii/S0959652617312969
  30. 30. Wall-Markowski CA, Kicherer A, Saling P. Using eco-efficiency analysis to assess renewable-resource-based technologies. Environmental Progress. 2004;23(4):329-333. Available from: http://doi.wiley.com/10.1002/ep.10051
  31. 31. Rojas González AF, Ruales Salcedo ÁV. Características energéticas de combustibles densificados de residuos de la uva isabella (Viti labrusca L.). Rev Mutis. 2016;5(2):5-15. Available from: https://revistas.utadeo.edu.co/index.php/mutis/article/view/1069
  32. 32. Rowell RM, Young RA, Rowell JK. Paper and Composites from Agro-Based Resources. New York: CRC/Lewis Publishers; 1997. 446 p
  33. 33. Sluiter A, Hames B, Ruiz CS, Sluiter J, Templeton D, DC. Determination of Structural Carbohydrates and Lignin in Biomass: Laboratory Analytical Procedure (LAP); Issue Date: April 2008; Revision Date: July 2011 (Version 07-08-2011) - 42618.pdf. Tech Rep NREL/TP -510-42618. 2008;(January):1-15. Available from: https://searchworks.stanford.edu/view/7616741
  34. 34. Wang Y, Fu Q, Li Q, Zhang G, Shen K, Wang Y-Z. Ductile-brittle-transition phenomenon in polypropylene/ethylene-propylene-diene rubber blends obtained by dynamic packing injection molding: A new understanding of the rubber-toughening mechanism. Journal of Polymer Science Part B: Polymer Physics. 2002;40(18):2086-2097. Available from: http://doi.wiley.com/10.1002/polb.10260
  35. 35. Vassilev SV, Baxter D, Andersen LK, Vassileva CG. An overview of the chemical composition of biomass. Fuel. 2010;89(5):913-933. Available from: https://www.sciencedirect.com/science/article/pii/S0016236109004967
  36. 36. de Oliveira JL, da Silva JN, Graciosa Pereira E, Oliveira Filho D, Rizzo CD. Characterization and mapping of waste from coffee and eucalyptus production in Brazil for thermochemical conversion of energy via gasification. Renewable and Sustainable Energy Reviews. 2013;21:52-58. Available from: https://www.sciencedirect.com/science/article/pii/S1364032112007289
  37. 37. Ismail TM, Abd El-Salam M, Monteiro E, Rouboa A. Eulerian – Eulerian CFD model on fluidized bed gasifier using coffee husks as fuel. Applied Thermal Engineering. 2016;106:1391-1402. Available from: https://www.sciencedirect.com/science/article/pii/S135943111631016X
  38. 38. Mythili R, Venkatachalam P, Subramanian P, Uma D. Characterization of bioresidues for biooil production through pyrolysis. Bioresource Technology. 2013;138:71-78. Available from: https://www.sciencedirect.com/science/article/pii/S0960852413005543
  39. 39. Hietala M, Oksman K. Pelletized cellulose fibres used in twin-screw extrusion for biocomposite manufacturing: Fibre breakage and dispersion. Composites. Part A, Applied Science and Manufacturing. 2018;109:538-545. Available from: https://www.sciencedirect.com/science/article/pii/S1359835X18301453
  40. 40. Castellani R, Di Giuseppe E, Beaugrand J, Dobosz S, Berzin F, Vergnes B, et al. Lignocellulosic fiber breakage in a molten polymer. Part 1. Qualitative analysis using rheo-optical observations. Composites. Part A, Applied Science and Manufacturing. 2016;91:229-237. Available from: https://www.sciencedirect.com/science/article/pii/S1359835X16303426
  41. 41. Jung S-H, Cho M-H, Kang B-S, Kim J-S. Pyrolysis of a fraction of waste polypropylene and polyethylene for the recovery of BTX aromatics using a fluidized bed reactor. Fuel Processing Technology. 2010;91(3):277-284. Available from: https://www.sciencedirect.com/science/article/pii/S037838200900321X
  42. 42. Kunwar B, Moser BR, Chandrasekaran SR, Rajagopalan N, Sharma BK. Catalytic and thermal depolymerization of low value post-consumer high density polyethylene plastic. Energy. 2016;111:884-892. Available from: https://www.sciencedirect.com/science/article/pii/S0360544216307976
  43. 43. Li Q, Long Y, Zhou H, Meng A, Tan Z, Zhang Y. Prediction of higher heating values of combustible solid wastes by pseudo-components and thermal mass coefficients. Thermochimica Acta. 2017;658:93-100. Available from: https://www.sciencedirect.com/science/article/pii/S004060311730268X
  44. 44. Azizi K, Keshavarz Moraveji M, Abedini NH. Simultaneous pyrolysis of microalgae C. vulgaris, wood and polymer: The effect of third component addition. Bioresource Technology. 2018;247:66-72. Available from: https://www.sciencedirect.com/science/article/pii/S0960852417316085
  45. 45. Uzun BB, Yaman E. Pyrolysis kinetics of walnut shell and waste polyolefins using thermogravimetric analysis. Journal of the Energy Institute. 2017;90(6):825-837. Available from: https://www.sciencedirect.com/science/article/pii/S1743967116301337
  46. 46. Galhano dos Santos R, Bordado JC, Mateus MM. Estimation of HHV of lignocellulosic biomass towards hierarchical cluster analysis by Euclidean’s distance method. Fuel. 2018;221:72-77. Available from: https://www.sciencedirect.com/science/article/pii/S0016236118302515
  47. 47. Jeguirim M, Limousy L, Fossard E. Characterization of coffee residues pellets and their performance in a residential combustor. International Journal of Green Energy. 2016;13(6):608-615. Available from: http://www.tandfonline.com/doi/full/10.1080/15435075.2014.888664
  48. 48. Bajwa DS, Wang X, Sitz E, Loll T, Bhattacharjee S. Application of bioethanol derived lignin for improving physico-mechanical properties of thermoset biocomposites. International Journal of Biological Macromolecules. 2016;89:265-272. Available from: https://www.sciencedirect.com/science/article/pii/S0141813016303944?via%3Dihub
  49. 49. Collazo-Bigliardi S, Ortega-Toro R, Chiralt BA. Isolation and characterisation of microcrystalline cellulose and cellulose nanocrystals from coffee husk and comparative study with rice husk. Carbohydrate Polymers. 2018;191:205-215. Available from: https://www.sciencedirect.com/science/article/pii/S0144861718302789
  50. 50. Baêta BEL, Cordeiro PH de M, Passos F, Gurgel LVA, de Aquino SF, Fdz-Polanco F. Steam explosion pretreatment improved the biomethanization of coffee husks. Bioresource Technology. 2017;245:66-72. Available from: https://www.sciencedirect.com/science/article/pii/S0960852417314244
  51. 51. Dhyani V, Bhaskar T. A comprehensive review on the pyrolysis of lignocellulosic biomass. Renewable Energy. 2018;129:695-716. Available from: https://www.sciencedirect.com/science/article/pii/S0960148117303427
  52. 52. Agustin-Salazar S, Cerruti P, Medina-Juárez LÁ, Scarinzi G, Malinconico M, Soto-Valdez H, et al. Lignin and holocellulose from pecan nutshell as reinforcing fillers in poly (lactic acid) biocomposites. International Journal of Biological Macromolecules. 2018;115:727-736. Available from: https://www.sciencedirect.com/science/article/pii/S014181301735064X
  53. 53. Tran D-T, Lee HR, Jung S, Park MS, Yang J-W. Lipid-extracted algal biomass based biocomposites fabrication with poly(vinyl alcohol). Algal Research. 2018;31:525-533. Available from: https://www.sciencedirect.com/science/article/pii/S2211926416302995
  54. 54. Ayrilmis N, Kaymakci A, Güleç T. Potential use of decayed wood in production of wood plastic composite. Industrial Crops and Products. 2015;74:279-284. Available from: https://www.sciencedirect.com/science/article/pii/S0926669015300352
  55. 55. Migneault S, Koubaa A, Perré P, Riedl B. Effects of wood fiber surface chemistry on strength of wood–plastic composites. Applied Surface Science. 2015;343:11-18. Available from: https://www.sciencedirect.com/science/article/pii/S0169433215005462
  56. 56. Arjmandi R, Ismail A, Hassan A, Abu BA. Effects of ammonium polyphosphate content on mechanical, thermal and flammability properties of kenaf/polypropylene and rice husk/polypropylene composites. Construction and Building Materials. 2017;152:484-493. Available from: https://www.sciencedirect.com/science/article/pii/S0950061817313880
  57. 57. Huang L, Mu B, Yi X, Li S, Wang Q. Sustainable use of coffee husks for reinforcing polyethylene composites. Journal of Polymers and the Environment. 2018;26(1):48-58. Available from: http://link.springer.com/10.1007/s10924-016-0917-x
  58. 58. Lisperguer J, Bustos X, Saravia Y, Escobar C, Venegas H. Efecto de las caracteristicas de harina de madera en las propiedades físico-mecánicas y térmicas de polipropileno reciclado. Maderas. Ciencia y tecnología. 2013;15(ahead). Available from: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2013005000025&lng=en&nrm=iso&tlng=en
  59. 59. Bledzki AK, Franciszczak P, Osman Z, Elbadawi M. Polypropylene biocomposites reinforced with softwood, abaca, jute, and kenaf fibers. Industrial Crops and Products. 2015;70:91-99. Available from: https://www.sciencedirect.com/science/article/pii/S0926669015001880
  60. 60. Nunes SG, da Silva LV, Amico SC, Viana JD, Amado FDR. Study of composites produced with recovered polypropylene and piassava Fiber. Materials Research. 2016;20(1):144-150. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392017000100144&lng=en&tlng=en
  61. 61. Nourbakhsh A, Baghlani FF, Ashori A. Nano-SiO2 filled rice husk/polypropylene composites: Physico-mechanical properties. Industrial Crops and Products. 2011;33(1):183-187. Available from: https://www.sciencedirect.com/science/article/pii/S0926669010002554
  62. 62. Yang H-S, Kim H-J, Park H-J, Lee B-J, Hwang T-S. Effect of compatibilizing agents on rice-husk flour reinforced polypropylene composites. Composite Structures. 2007;77(1):45-55. Available from: https://www.sciencedirect.com/science/article/pii/S0263822305001522
  63. 63. Yang H-S, Kim H-J, Son J, Park H-J, Lee B-J, Hwang T-S. Rice-husk flour filled polypropylene composites; mechanical and morphological study. Composite Structures. 2004;63(3–4):305-312. Available from: https://www.sciencedirect.com/science/article/pii/S026382230300179X
  64. 64. Hidalgo-Salazar MA, Munõz MF, Mina JH. Influence of incorporation of natural fibers on the physical, mechanical, and thermal properties of composites LDPE-Al reinforced with fique fibers. International Journal of Polymer Science. 2015:2015;12-18
  65. 65. Hidalgo-Salazar MA, Mina JH, Herrera-Franco PJ. The effect of interfacial adhesion on the creep behaviour of LDPE–Al–fique composite materials. Composites. Part B, Engineering. 2013;55:345-351. Available from: https://www.sciencedirect.com/science/article/pii/S1359836813003430
  66. 66. Audsley E, Brander M, Chatterton JC, Murphy-Bokern D, Webster C, Williams AG. How low can we go? An assessment of greenhouse gas emissions from the UK foodsystem and the scope reduction by 2050. Report for the WWF and Food ClimateResearch Network. 2010; Available from: https://dspace.lib.cranfield.ac.uk/handle/1826/6503
  67. 67. Factor marginal de emisión de gases de efecto invernadero del Sistema Interconectado Nacional para proyectos aplicables al Mecanismo de Desarrollo Limpio (MDL). 2014. Available from: https://www.icbf.gov.co/cargues/avance/docs/resolucion_minminas_91304_2014.htm
  68. 68. Guía de cálculo de emisiones de GEI. Inicio. Generalitat de Catalunya [Internet]. 2017. Available from: http://canviclimatic.gencat.cat/es/redueix_emissions/com-calcular-emissions-de-geh/guia_de_calcul_demissions_de_co2/
  69. 69. Turner DA, Williams ID, Kemp S. Greenhouse gas emission factors for recycling of source-segregated waste materials. Resources, Conservation and Recycling. 2015;105:186-197. Available from: https://www.sciencedirect.com/science/article/pii/S0921344915301245
  70. 70. Noponen MRA, Edwards-Jones G, Haggar JP, Soto G, Attarzadeh N, Healey JR. Greenhouse gas emissions in coffee grown with differing input levels under conventional and organic management. Agriculture, Ecosystems and Environment. 2012;151:6-15. Available from: https://www.sciencedirect.com/science/article/pii/S0167880912000345
  71. 71. Franklin associates. Cradle-to-Gate Life Cycle Inventory (LCI) of Nine Plastics Resins and Four Polyurethane Precursors - August 2011 [Internet]. 2011. Available from: http://www.fal.com/projects.html

Written By

Miguel Ángel Hidalgo-Salazar, Juan Pablo Correa-Aguirre, Juan Manuel Montalvo-Navarrete, Diego Fernando Lopez-Rodriguez and Andrés Felipe Rojas-González

Reviewed: 23 September 2018 Published: 27 November 2018