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Record W7062382618

Thermostability of cassava linamarase

2016· dissertation· en· W7062382618 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typedissertation
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsMcGill University
FundersInternational Fund for Agricultural Development
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

Cassava (Manihot esculenta) is a major staple crop for an estimated 700 million people worldwide.Cassava tubers are high in carbohydrates;; however, they are an insufficient source of iron, zinc, vitamin A and protein.Additionally, the presence of anti-nutrients, namely cyanogenic glycosides (linamarin 95% and lotasutralin 5%) is an important factor that restricts the consumption of cassava.Cyanogenic glycosides can be hydrolyzed by the endogenous cell wall enzyme linamarase to yield acetone cyanohydrin (which spontaneously breaks down into hydrogen cyanide (HCN) at temperatures above 30°C) and free cyanide.Increasing the breakdown of linamarin into the volatile byproducts by linamarase can reduce the toxicity of cassava.Linamarase is quickly inactivated at high temperatures.Processing methods such as oven drying and boiling, that use high temperatures might reduce the efficiency of the detoxification process and increase the cyanide load in the processed cassava product.The production of High Quality Cassava Flour (HQCF) is an emerging non-traditional use of cassava that employs high temperatures and forgoes fermentation completely.The objective of this study was to investigate thermal stability of linamarase over a temperature range of 35-75°C.Linamrase exhibited highest activity at 45°C and was inactivated at 75°C.Experimental data was fitted by the Arrhenius equation.Two distinct thermal stabilities were present in the Arrhenius plot.iii RÉSUMÉ Le manioc est un aliment de base pour environ 700 million personnes dans le monde.Il s'agit d'un aliment très riche en carbohydrates qui s'avère cependant faible en fer, zinc, vitamine A et en protéines.En outre, la presence d'antinutriments, et particulièrement, les glycosides cyanogeniques, en limitent la consommation dans le monde.Cependant l'enzyme linamarase transforme les glycosides cyanogeniques en acétonecyanhydrine et en acide cyanhydrique.Ainsi, plusieurs procédés de transformation alimentaire sont utilisés pour reduire la toxicité du manioc.Ces procédés de transformation exigent toutefois des températures élevées qui peuvent réduire l'efficacité des procédés de detoxification, le linamarase est par exemple rapidement inactivé à des températures élevées.La production du 'High Quality Cassava Flour' (HQCF), un usage non-traditionnel du manioc, utilise des temperatures élevées.Ce projet a pour vocation d'étudier la stabilité thermique de linamarase sur une plage de temperature allant de 35-75°C.Nous trouvons ainsi que le linamarase était rapidement inactivée a des temperatures supérieures à 75°C.D'autre part, les données expérimentales ont été ajusté par l'équation d'Arrhenius et deux stabilités thermiques disntinctes étaient présentes.

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 score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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