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Method of casein obtaining from skimmilk using oligochitosans

2020· article· en· W3117486189 on OpenAlexfundno aff
L.R. Alieva, Иван Евдокимов, Aleksei Lodygin, N V Sushinskaia, A V Permyakov

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsnot available
FundersEuropean Social FundInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaNatural Sciences and Engineering Research Council of CanadaCentre National pour la Recherche Scientifique et TechniqueMinisterio de Ciencia e InnovaciónNational Research Center "Kurchatov Institute"Centre National de la Recherche ScientifiqueJavna Agencija za Raziskovalno Dejavnost RSRoyal SocietyMax-Planck-GesellschaftIsrael Science FoundationJoint Institute for Nuclear ResearchBundesministerium für Wissenschaft, Forschung und WirtschaftGeneralitat ValencianaLeverhulme TrustGeneral Secretariat for Research and TechnologyMinistry of Education, Culture, Sports, Science and TechnologyNederlandse Organisatie voor Wetenschappelijk OnderzoekAustrian Science FundAgencia Nacional de Investigación y DesarrolloServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesDepartment of Science and Technology, Ministry of Science and Technology, IndiaGeneralitat de CatalunyaBundesministerium für Bildung und ForschungJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaDanmarks GrundforskningsfondNational Science FoundationTRIUMFFundação de Amparo à Pesquisa do Estado de São PauloCentres de Recerca de CatalunyaMinisterstwo Edukacji i NaukiCERNDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
KeywordsCaseinCoacervateChemistryCoagulationAcetylationMicellePolysaccharideChromatographyFood scienceBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract The interaction of milk proteins and oligochitosans is based on formation of electrostatic complex between negatively charged casein micelles and positively charged polysaccharide groups. At low concentrations of oligochitosans, partial interaction with milk proteins occurs. Maximum protein coagulation (90 %) is achieved in equivalence zone at the concentration of oligochitosans: 45.3 kDa-0.88×10−4 M; 25.4 kDa-1.57×10−4 M; 7.7 kDa – 5.19×10−4 M; 1.5 kDa-26.67×10−4 M. In these concentrations, taking into account the molecular weight and degree of deacetylation of oligochitosans, the total content of protonated amino groups is equal 2.4×10−4 M. When t protein content in skimmed milk is 3.0 % - 3.2%, oligochitosans of any molecular weight and degree of deacetylation can be used for casein coagulation, important that the final concentration of amino groups should be 2.4×10−4 M. It was determined that the use of the studied samples of oligochitosan allows to obtain coacervate where 1 g of oligochitosan binds 6.0 – 6.2 g of milk proteins.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.243
Teacher spread0.223 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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