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Record W2606466384 · doi:10.5539/jas.v9n5p66

Evaluation of the Composition of Bioactive Compounds and Antioxidant Activity in Fourteen Apricot Varieties of North India

2017· article· en· W2606466384 on OpenAlexvenueno aff
Sajad Mohd Wani, Peerzada R. Hussain, F.A. Masoodi, Mukhtar Ahmad, Touseef Ahmed Wani, Adil Gani, Sarver A. Rather, Prashant P. Suradkar

Bibliographic record

VenueJournal of Agricultural Science · 2017
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Antioxidant Activities
Canadian institutionsnot available
Fundersnot available
KeywordsDPPHABTSChemistryPhenolsFood scienceCultivarAntioxidantComposition (language)High-performance liquid chromatographyBotanyHorticultureBiologyBiochemistryChromatography

Abstract

fetched live from OpenAlex

Variation in the content of bioactive compounds and antioxidant activity was evaluated in fourteen apricot varieties grown in north India. In the present study, the bioactive composition of apricot varieties of north Indian Kashmir was assessed by HPLC-MS/MS and their contribution towards free radical scavenging was assessed using DPPH, FRAP and ABTS assays. Studies revealed that content of bioactive compounds in apricot varieties was found to vary significantly (p ≤ 0.05) among cultivars. Content of total phenols was significantly (p ≤ 0.05) higher in Rakausilk variety (72.5±3.12 mg/100 g GAE) followed by Viva-gold (71.2±2.11 mg/100 g GAE) and Rakhchekarpo (69.6±1.65 mg/100 g GAE). Halman apricots exhibited the highest content of total carotenoids (12.2±2.13 mg/100 g) followed by Nugget (10.5±1.11 mg/100 g). HPLC analysis of apricot samples revealed the presence of fifteen phenolic acids in Halman, Venatchaa, Rakausilk and New Castle varieties; nine phenolic acid in Rakchekarpo and Sterling apricots; twelve phenolic acids in Shakanda, Nugget, Shakarpara and CITH-1 varieties; fourteen phenolic acid in Viva gold and Turkey varieties; seven phenolic acid in Khante and nineteen phenolic acids in CITH-2 apricots. Strong correlation existed between total phenolics and antioxidant activity for DPPH assay (r = 0.91) and ABTS radical inhibition (r = 0.86) while as moderate correlation existed for FRAP (r = 0.76). For DPPH and FRAP assays; EC50 values among apricot varieties were significantly (p ≤ 0.05) lower in Rakausilk (69.2, 123.6 mg/ml) followed by Viva Gold (74.3, 129.5 mg/ml) and Rakhchekarpo (77.4, 132.4 mg/ml). For ABTS.+ inhibition the EC50 values among apricot varieties were in the order of EC50(Rakausilk) < EC50(Khante) < EC50(Viva Gold). The present study reported the first time presence of p-coumaric acid-O-hexoside, isorhamnetin-O-glucouronide, Kaempferol-3-O-acetylhexoside, quercetin-3-O-rhamnoside, sinapic acid-O- hexoside, apigenin-7-O-glucoside, vitexin and luteolin-7-O-rutinoside compounds in apricot varieties of north India.

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 score0.458
Threshold uncertainty score0.292

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.291
Teacher spread0.263 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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