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Record W7039766655

Nanocellulose in Bioplastics for Sustainable Packaging

2023· dissertation· en· W7039766655 on OpenAlexfundno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant chemical constituents analysis
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsBioplasticNanocelluloseFood packagingPolybutylene succinateBiodegradationCelluloseNanocompositeThermoplastic
DOInot available

Abstract

fetched live from OpenAlex

Packaging has become a critical concern due to the prevalence of single-use plastics from petrochemicals, leading to environmental issues. To address this, interest in bio-based materials for packaging has grown, offering biodegradability and a lower carbon footprint. However, bioplastics have limitations like weak mechanical properties and high permeability. To overcome these issues, there is a need for chemical compositions and processing methods that improve the barrier properties. One effective approach is incorporating nanomaterials, such as cellulose nanofibers, to enhance bioplastics' properties and contribute to sustainable development.
\nOne prominent bioplastic that has garnered significant attention is thermoplastic starch (TPS). Furthermore, the preparation of blends comprising polybutylene succinate (PBS) and TPS (at a ratio of 30%) has been explored as a means of producing cost-effective composite materials with desirable performance characteristics. The TPS and PBS blends were prepared through extrusion and hot pressing, and their morphological, mechanical, and barrier properties were assessed. The findings revealed that the presence of fibers in the composite acted as reinforcement within the matrix, thereby improving the mechanical properties and, to some extent, the barrier properties. Notably, the incorporation of citric acid as a compatibilizer further enhanced the composite's performance.
\nThe primary objective of this project is producing cellulose nanofibers (CNF) from industrial hemp and develop biodegradable nanocomposite films with excellent barrier properties for packaging applications. PBS is known for its favorable transparency, mechanical properties, and water resistance, but it is expensive and lacks adequate oxygen resistance. Hence, in this study, PBS was blended with CNF to increase the biobased content and reduce costs. The nanocomposites, comprising CNF and PBS, were prepared using an extruder and hot press. The microstructure, barrier properties, and mechanical properties of the nanocomposites were investigated.
\nScanning electron microscopy (SEM) analysis revealed that lower CNF contents (less than 15%) exhibited better dispersion of nanoparticles within the polymer matrix, while higher contents (30 and 50% wt) resulted in agglomeration of CNF, making the nanocomposites more brittle. The water vapor permeability (WVP) tests showed that the incorporation of nanofibers had no significant impact on film permeability. However, there was a notable improvement in oxygen permeability. The transparency of all the films was found to be satisfactory, particularly when the CNF content was below 15%. 
\nOther aspects of the research involved comparing CNF with and without bleaching processes, as well as utilizing different chemicals to enhance CNF dispersion in PBS and improve the properties. The effect of these chemicals on atomized droplet size and hydrogen bond retardation between CNFs was examined by analyzing product morphology, particle size distribution, and dispersion stability in aqueous systems. The results indicated that CNF suspensions treated with Sodium chloride (NaCl) could be atomized into smaller droplets during spray drying, leading to the production of CNF powder with reduced particle sizes. Therefore, drying with NaCl was considered a cost-effective and environmentally friendly method for obtaining highly dispersible dried CNFs suitable for large-scale industrial applications in composite industries. Additionally, NaCl salts are relatively inexpensive, and the process does not involve the use of organic solvents or hazardous chemicals. The intriguing aspect of this section pertained to the varying coloration observed between the CNF and the final film. The films incorporating bleached CNF exhibited a transparent and white appearance, while those created solely through mechanical means exhibited a slight yellowish hue while maintaining good transparency. Furthermore, all films demonstrated a consistent and homogeneous appearance without any surface particles.
\nOverall, the PBS/CNF nanocomposites demonstrated favorable properties for sustainable packaging, depending on the specific application requirements. However, further research and development are necessary to enhance and optimize the final properties of these materials.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.188
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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