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Record W4403427689 · doi:10.26685/urncst.657

An Alternative to Conventional Antibiotics - The Antimicrobial Properties of Deacetylated Chitin Extracted from Gongronella Butleri: A Research Protocol

2024· article· en· W4403427689 on OpenAlexaff
Malika Peera, Ariel Tayo-Ajimoko, Fu Long Liao

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsUniversity of OttawaQueen's University
Fundersnot available
KeywordsChitinAntimicrobialAntibioticsMicrobiologyProtocol (science)ChemistryBiologyMedicineBiochemistryChitosan

Abstract

fetched live from OpenAlex

Antimicrobial resistance (AMR) is a growing threat to global public health and development. It is estimated that AMR was directly responsible for 1.27 million deaths worldwide in 2019. Due to the superfluous use of antibiotics, AMR is increasingly widespread, and bacterial infections are becoming more difficult to treat. Chitin is a potential alternative that has demonstrated antimicrobial properties. Most commonly extracted from insects and crustaceans, chitin can also be found in the cell walls of fungi. In previously performed experiments, the results supported the hypothesis that chitin derived from crustaceans and insects displayed antimicrobial properties. Due to the different chemical composition and attributes of fungal chitin, this study will explore whether fungal chitin also displays antimicrobial properties. In this experiment, chitin will be extracted from Gongronella butleri fungus and will be deacetylated into two degrees of deacetylation (70% and 90%) to form chitosan in liquid form. Chitosan easily interacts with the bacterial cell wall and inhibits the formation of the cell wall. The chitosan will then be added to two bacterial cultures, Staphylococcus aureus (Gram-positive) and Escherichia coli (Gram-negative), and the diameter of inhibition will be assessed to determine the efficacy of chitosan as an antimicrobial agent. The control Petri dishes will contain the most common antibiotic used for each bacterial culture (penicillin for S. aureus and streptomycin for E. coli). The results will be analyzed using a two-way Analysis of Variance (ANOVA) test. It is anticipated that chitosan will inhibit the growth of both bacterial cultures. It is expected that the low-molecular-weight chitosan will be more effective against E. coli and the high-molecular-weight chitosan will be more effective against S. aureus. If the diameter of inhibition of the bacterial cultures with chitosan is equal to or greater than the diameter of inhibition of the control, then it can be concluded that chitosan is an effective antimicrobial agent. The results will indicate whether fungal chitin has antimicrobial properties and can be used as an alternative to antibiotics. This experiment can be expanded, to test how metal salts, temperature, pH, and varying degrees of deacetylation influence the antimicrobial properties of chitin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.119
GPT teacher head0.436
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations1
Published2024
Admission routes1
Has abstractyes

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