| Literature DB >> 32423073 |
Abstract
Agro-pan> class="Chemical">wastes are derived from diverse sources including grape pomace, tomato pomace, pineapple, orange, and lemon peels, sugarcane bagasse, rice husks, wheat straw, and palm oil fibers, among other affordable and commonly available materials. The carbon-rich precursors are used in the production bio-based polymers through microbial, biopolymer blending, and chemical methods. The Food and Agriculture Organization (FAO) estimates that 20%-30% of fruits and vegetables are discarded as waste during post-harvest handling. The development of bio-based polymers is essential, considering the scale of global environmental pollution that is directly linked to the production of synthetic plastics such as polypropylene (PP) and polyethylene (PET). Globally, 400 million tons of synthetic plastics are produced each year, and less than 9% are recycled. The optical, mechanical, and chemical properties such as ultraviolet (UV) absorbance, tensile strength, and water permeability are influenced by the synthetic route. The production of bio-based polymers from renewable sources and microbial synthesis are scalable, facile, and pose a minimal impact on the environment compared to chemical synthesis methods that rely on alkali and acid treatment or co-polymer blending. Despite the development of advanced synthetic methods and the application of biofilms in smart/intelligent food packaging, construction, exclusion nets, and medicine, commercial production is limited by cost, the economics of production, useful life, and biodegradation concerns, and the availability of adequate agro-wastes. New and cost-effective production techniques are critical to facilitate the commercial production of bio-based polymers and the replacement of synthetic polymers.Entities:
Keywords: agricultural waste; biodegradable polymers; biofilms; cellulose; food packaging; photo degradation; polymers; reinforcement; sustainability; tensile strength; water permeability
Year: 2020 PMID: 32423073 PMCID: PMC7285292 DOI: 10.3390/polym12051127
Source DB: PubMed Journal: Polymers (Basel) ISSN: 2073-4360 Impact factor: 4.329
Figure 1Classification of production processes for biodegradable polymers [18] (reproduced with permission from publisher).
Physical properties of different types of biopolymers [18].
| Property | Type of Biopolymer | ||||||
|---|---|---|---|---|---|---|---|
| PLA | l-PLA | dl-PLA | PGA | PCL | PHB | Starch | |
| Density(kg/m3) | 1210 | 1240 | 1250 | 1500 | 1110 | 1180 | |
| Tensile strength (MPa) | 21 | 15.5 | 27.6 | 60 | 20.7 | 40 | 5.0 |
| Young’s Modulus (GPa) | 0.35 | 2.7 | 1 | 6 | 0.21 | 3.5 | 0.125 |
| Elongation (%) | 2.5 | 3 | 2 | 1.5 | 300 | 5 | 31 |
| Glass transition temperature (°C) | 45 | 55 | 50 | 35 | −60 | 5 | |
| Melting temperature (°C) | 150 | 170 | am | 220 | 58 | 168 | |
Chemical composition of common forms of agricultural waste [39].
| Agro-Industrial Wastes | Chemical Composition (% w/w) | |||||
|---|---|---|---|---|---|---|
| Cellulose | Hemicellulose | Lignin | Ash (%) | Total Solids (%) | Moisture (%) | |
| Sugarcane bagasse | 30.2 | 56.7 | 13.4 | 1.9 | 91.66 | 4.8 |
| Rice straw | 39.2 | 23.5 | 36.1 | 12.4 | 98.62 | 6.58 |
| Corn stalks | 61.2 | 19.3 | 6.9 | 10.8 | 97.78 | 6.40 |
| Sawdust | 45.1 | 28.1 | 24.2 | 1.2 | 98.54 | 1.12 |
| Sugar beet waste | 26.3 | 18.5 | 2.5 | 4.8 | 87.5 | 12.4 |
| Barley straw | 33.8 | 21.9 | 13.8 | 11 | _ | _ |
| Cotton stalks | 58.5 | 14.4 | 21.5 | 9.98 | _ | 7.45 |
| Oat straw | 39.4 | 27.1 | 17.5 | 8 | _ | _ |
| Soya stalks | 34.5 | 24.8 | 19.8 | 10.39 | _ | 11.84 |
| Sunflower stalks | 42.1 | 29.7 | 13.4 | 11.17 | _ | _ |
| Wheat straw | 32.9 | 24.0 | 8.9 | 6.7 | 95.6 | 7 |
Figure 2Mechanical behavior of biopolymers synthesized from tomato pomace [8]; (A) the load-depth indentation curves for biopolymers that were synthesized with different amounts of catalysts, for 7 h; (B) impact of catalyst amount on the Brinnell hardness and Young’s modulus; (C) shows the linear regression relationship between % ester in the polymer, Young’s Modulus and hardness. (Reproduced with permission from publisher).
Mechanical properties and optical properties of microbial synthesized starch films [57].
| Type of Material | Optical Transmission (%) | Solubility (%) | Tensile Stress at Break | Tensile Strain at Break (mm/mm) | Thickness (μm) | WVP (g.mm/Kpa. m2 h1) |
|---|---|---|---|---|---|---|
| Control | 74.0 ± 3.10 | 15.19 ± 0.11 | 3.1 ± 0.39 | 0.35 ± 0.08 | 199 ± 26 | 1.9 ± 0.03 |
| crystalline nanocellulose | 64.4 ± 2.04 | 20.73 ± 0.05 | 3.3 ± 0.45 | 0.35 ± 0.04 | 183 ± 27 | 1.78 ± 0.06 |
| Bacteriocin (from | 63.2 ± 2.15 | 11.60 ± 0.20 | 2.85 ± 0.52 | 0.44 ± 0.02 | 195 ± 29 | 1.70 ± 0.06 |
| Bacteriocin (from | 62.2 ± 4.78 | 12.32 ± 0.21 | 3.04 ± 0.50 | 0.44 ± 0.05 | 198 ± 23 | 1.69 ± 0.03 |
| BIN (bacteriocin from | 53.9 ± 2.74 | 21.54 ± 0.51 | 4.33 ± 0.29 | 0.29 ± 0.03 | 187 ± 36 | 1.72 ± 0.04 |
| BIN (bacteriocin from | 52.1 ± 2.58 | 22.2 ± 0.48 | 5.24 ± 0.53 | 0.30 ± 0.02 | 187 ± 20 | 1.72 ± 0.04 |
WVP denotes—Water vapor permeability; BIN—Bacteriocins immobilized crystalline nanocellulose (BIN).
Comparative analysis of the mechanical properties of plant-based and petro-chemical based polymers [11].
| Material | Tensile Strength (MPa) | Elongation at Break (%) | Glass Transition Temperature (°C) | Melting Temperature (°C) |
|---|---|---|---|---|
| Kraft paper | 68 | 3 | ||
| Cellulose acetate | 90 | 25 | 110 | 230 |
| Corn starch | 40 | 9 | 112 | |
| PLA | 59 | 2–7 | 55 | 165 |
| PHA | 15–50 | 1–800 | 12–3 | 100–175 |
| PBS | 34 | 560 | 32 | 114 |
| PBAT | 22 | 800 | 29 | 110 |
| PEF | 35–67 | 3–4 | 85 | 211 |
| PTT | 49 | 160 | 50 | 228 |
| PE | 15–30 | 1000 | 125 | 110–130 |
| PP | 36 | 400 | 13 | 176 |
| PET | 86 | 20 | 72 | 265 |
| PS | 30–60 | 1–5 | 100 | – |
| PVC | 52 | 35 | 18 | 200 |
Figure 3Surface and cross-sectional morphology of rice husk ash biopolymer before coating with CNFs, (a–c) for different scales [47] (Reproduced with permission from publisher).
Figure 4Surface and cross-sectional morphology of rice husk ash biopolymer after coating with CNFs, (a–c) for different scales [47] (Reproduced with permission from publisher).