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Record W4404990495 · doi:10.1016/j.indcrop.2024.120197

Extraction and characterization of rubberwood starch for accurate structural and physicochemical properties analysis

2024· article· en· W4404990495 on OpenAlexaff
M.J. Qin, Yishuai Huang, Shuqi Cao, Yinliang Zhang, Yulan Lu, Liufang He, Huichuan Jiang, Jianing Li, Chuigen Guo

Bibliographic record

VenueIndustrial Crops and Products · 2024
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsMinistry of Agriculture
FundersGuangzhou Municipal Science and Technology ProjectAgriculture Research System of ChinaNatural Science Foundation of Hainan ProvinceNational Natural Science Foundation of China
KeywordsStarchExtraction (chemistry)Characterization (materials science)ChemistryChromatographyPulp and paper industryFood scienceMaterials scienceEngineeringNanotechnology

Abstract

fetched live from OpenAlex

Rubberwood has high starch content and is susceptible to fungal and microbial attack. The modification of starch can prevent it from becoming a nutrient source of microorganisms and realize the purpose of anti-mildew and anti-corrosion of rubber wood. Understanding the structure and physicochemical properties of rubberwood starch aids to explore suitable methods for starch modification. This study investigates the distribution of starch in rubberwood and explores the feasibility of extracting starch by three different methods (water extraction, sodium metabisulfite extraction and ethanol extraction). The results showed that the distribution of rubberwood starch was consistent with the typical distribution of wood starch, mainly distributed in thin-walled cells. Three extraction methods proved the feasibility of extracting starch from rubberwood thin-walled cells. The microstructure, physical and chemical properties and structure of rubberwood starch were investigated by means of scanning electron microscope, X-ray diffraction, polarizing light microscope and nuclear magnetic resonance analysis. The results showed that compared with the internal starch of rubberwood, the shape of the starches extracted by the three methods did not change significantly, and they were all spherical and elliptical, with stable A-type crystal structure and obvious Malta cross diffraction pattern. However, it is worth noting that sodium metabisulfite and ethanol will increase the swelling power of rubberwood starch, which provides new insights into other uses of rubberwood starch. This work not only enriched our understanding of the characteristics of rubberwood starch, but also laid a theoretical basis and practical guidance for the development of efficient mildew prevention technology of rubberwood products. • The rubberwood starch is mainly distributed in thin-walled cells. • The rubberwood starch is A-type with a distinct Maltese cross. • The starch has microporous and channels, which facilitate chemical reactions. • The low amylose content will affect starch’s stability during physical modification.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.294
Teacher spread0.228 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

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