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Bioactivity and Stability Studies of Betalain-Containing Extracts from Beta vulgaris L.

2019· article· en· W2932320459 on OpenAlexvenueno aff
Nurrulhidayah Ahmad Fadzillah, Rashidi Othman, Norazian Mohd Hassan, Ainaa Eliah Abu Bakar, Nur Hidayah Noh, Noraini Mahmad

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBetalainBetaninPigmentAbsorbanceExtraction (chemistry)ChemistryAntioxidantFood scienceDPPHBotanyChromatographyBiologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Beta vulgaris or beet root contained high pigment of betalains that are used as food colorants and food additives due to their health promoting properties. The extraction of natural colorant compound from beet root under chemical- based extraction was identified as an alternative source of commercial synthetic colorant. Beet root is generally processed before consumption which influences the stability of betalains as well as affects the acceptability and health properties. Therefore, this study aimed to investigate the antioxidant activities of betalain-containing extracts and the influence of UV irradiation and heat on the betalain pigment at different concentrations, temperature and period of time. The impact of these factors was evaluated with spectrophotometric absorbance value on the basis of betalain chromaticity. The results of the DPPH antioxidant test revealed that the scavenging activity of betalain increasing proportional to its concentration and the highest 50% inhibition activity was recorded at 77.48%. At 3.0 g/l betalain concentration, the highest chromaticity value was recorded whereas temperature between 10 to 30°C was the most stable betalain pigment against heat stress. However continuous exposure of betalain pigment towards UV irradiation was found to cause discoloration of the samples.

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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.132

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.141
GPT teacher head0.384
Teacher spread0.243 · 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 teacher head, 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
Published2019
Admission routes1
Has abstractyes

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