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Record W3176231808 · doi:10.21203/rs.2.12753/v1

Quantitative assessment and impact of thermal treatment on quality of Holstein dairy cattle colostrum immunoglobulin and viscosity

2019· preprint· en· W3176231808 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

VenueResearch Square (Research Square) · 2019
Typepreprint
Languageen
FieldVeterinary
TopicAnimal health and immunology
Canadian institutionsAgriculture and Agri-Food Canada
FundersLandwirtschaftliche Rentenbank
KeywordsColostrumDairy cattleDairy industryQuality (philosophy)AntibodyAnimal scienceMilk proteinBiologyFood scienceImmunologyPhysics

Abstract

fetched live from OpenAlex

Abstract BackgroundBovine postpartum colostrum delivers a vital source of immunoglobulins (Igs) and other non-specific immune factors for passive transfer of immunity to newborn calves. Heat treatment of colostrum is an effective practice to reduce potential pathogens that can be transmitted to the newborn calves. Therefore, there is a need to determine optimized temperature and time that can minimally change IgG concentration and the viscosity (consistency) of colostrum. In order to preserve the quality and value of bovine postpartum colostrum, this study aimed to determine the IgG concentration, influence of different thermal treatments on the quality of colostrum and other properties including viscosity, fat and color.ResultsA total of 40 German Holstein dairy cattle first colostrum samples, collected after birth, were evaluated for color gradation, fat (%), colostrum IgG (mg mL-1), IgG (%Brix) and refractive index (nD) concentration, visual and dynamic viscosity and impact of different treatments (60 °C/60 min; 63.5°C/30 min and 72.0°C/15 s) on the viscosity. The color was graded from white-pale yellow to yellow and dark-yellowish, fat (1.4 - 8.2%) and IgG concentration (4 - 116 mg mL-1), Brix (8.5% - 35.4% Brix) and nD (1.3454 - 1.3905), respectively. The visual viscosity of first colostrum was classified into watery, liquid and thick consistency, whereas the dynamic viscosity and treated colostrum ranged from <10 to 219 and <10 to 3066 centipoise (cP), respectively. The consistency of treated samples were classified into liquid, thick and solid with significant change in the dynamic viscosity.ConclusionData revealed significant variation in the IgG values where both measurement methods showed high congruence with IgG classification. Due to the fact that individual IgG values were disparate, this significantly affected the colostrum consistency with different treatments. The study showed that colostrum containing IgG ≤80 mg mL-1 and ≤68 mg mL-1 treated at 60°C for 60 min and 63.5°C for 30 min showed a slight to moderate change in the consistency which suggests that these two temperatures and lengths of time that had a minimal impact on the consistency can be used to pasteurize colostrum.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0010.004
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 head0.354
GPT teacher head0.585
Teacher spread0.230 · 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