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Record W4361861615 · doi:10.26599/pbm.2023.9260005

Biodegradation Behavior of Starch in Simulated White Water System of Old Corrugated Cardboard Pulping Process

2023· article· en· W4361861615 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePaper and Biomaterials · 2023
Typearticle
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of New Brunswick
FundersTianjin UniversityChina Postdoctoral Science FoundationGuangxi UniversityNational Natural Science Foundation of China
KeywordsBiodegradationStarchHydrolysisChemistryDegradation (telecommunications)AmylaseChromatographyChemical engineeringMaterials scienceFood scienceOrganic chemistryEnzyme

Abstract

fetched live from OpenAlex

Considering the serious barriers/issues induced by the accumulated starch generated in white water system of old corrugated cardboard (OCC) pulping process, large amounts of accumulated starch in white water would be decomposed by microorganisms and could not be utilized, thereby resulting in severe resource wastage and environmental pollution. This study mainly explored the effects of biodegradation/hydrolysis conditions of the two types of starch substrates (native starch and enzymatically (<i>α‍</i>-amylase) hydrolyzed starch), which were treated via microorganism degradation within the simulated white water from OCC pulping system and their biodegradation products on the key properties were characterized via X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), and gel permeation chromatography (GPC) technologies. The effects of system temperature, pH value, starch concentration, and biodegradation time on starch biodegradation ratio and the characteristics of obtained biodegradated products from the two types of starches were studied. In addition, the effect of <i>α‍</i>-amylase dosage on the biodegradation ratio of enzymatically hydrolyzed starch and its properties was investigated. It was found that the native starch presented a maximal degradation ratio at a system temperature of 55 ℃ and pH value range of 5-7, respectively, the corresponding starch concentration within simulated white water system was 200 mg/L. Whereas the enzymatically hydrolyzed starch exhibited a highest degradation ratio at a system temperature of 50 ℃ and pH value of 5.5, respectively, and the corresponding starch concentration within simulated white water system was 100 mg/L. It was verified that native starch is more readily bio-hydrolyzed and biodegradation-susceptive by microorganisms in simulated white water system of OCC pulping process, while the enzymatically hydrolyzed starch exhibits better biodegradation/hydrolysis resistance to the microbial degradation than that of native starch. This study provides a practical and interesting approach to investigate the starch hydrolysis or biodegradation behaviors in white water system of OCC pulping process, which would greatly contribute to the full recycling and valorized application of starch as a versatile additive during paperboard production.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.288

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 head0.024
GPT teacher head0.275
Teacher spread0.251 · 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