MétaCan
Menu
Back to cohort
Record W1984434291 · doi:10.1055/s-2009-1216511

Quantitative Determination of Chemical Constituents from Seeds of Nigella sativa L. by using HPLC-UV and Identification by LC-ESI-TOF

2009· article· en· W1984434291 on OpenAlexfundno aff
Bharathi Avula, YH Wang, Zulfıqar Ali, TJ Smillie, IA Khan

Bibliographic record

VenuePlanta Medica · 2009
Typearticle
Languageen
FieldMedicine
TopicNigella sativa pharmacological applications
Canadian institutionsnot available
FundersNational Institute on Drug AbuseAgricultural Research ServiceUniversity of British ColumbiaUniversity of Illinois at Urbana-ChampaignChinese Academy of SciencesKurukshetra UniversityUniversity of Illinois at ChicagoNational Oceanic and Atmospheric AdministrationU.S. Food and Drug AdministrationNational Science Foundation of Sri LankaUniversity of ColomboU.S. Department of AgricultureWestern Carolina UniversityInternational Science CouncilNational Center for Complementary and Alternative MedicineChina Academy of Traditional Chinese MedicineNational Institutes of HealthNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesTürkiye Bilimsel ve Teknolojik Araştırma KurumuHong Kong Polytechnic UniversityNational Science FoundationDeutsche KrebshilfeNational Natural Science Foundation of ChinaTata TrustsUniversity Grants CommissionWake Forest University
KeywordsNigella sativaChromatographyRanunculaceaeHigh-performance liquid chromatographyElectrospray ionizationMass spectrometryChemistryTraditional medicineBotanyBiologyMedicine

Abstract

fetched live from OpenAlex

Nigella sativa Linn. belongs to the Ranunculaceae family and is an indigenous herbaceous plant that is more commonly known as the fennel flower plant. The plant is also known as black cumin (English) and black-caraway (USA). The spicy seeds from this plant have medicinal usage dating back to the ancient Egyptians, Greeks and Romans. In Egypt and the Middle East the black seed oil is popularly used for certain cases of chronic cough and bronchial asthma [1,2]. An HPLC method was developed for the simultaneous determination of nine compounds of Nigella sativa L. The separation was achieved within 23 minutes by using C-18 column material, a water/acetonitrile mobile phase, both containing 0.1% acetic acid gradient system and a temperature of 35°C. The method was validated for linearity, repeatability, limits of detection (LOD) and limits of quantification (LOQ). The LOD and LOQ of nine compounds were found to be in the range from 0.09–10 µg/mL and 0.3–25 µg/mL, respectively. The wavelength used for quantification with the diode array detector was 205 and 260 nm. The seeds of N. sativa and commercial products showed the presence of all nine compounds. LC-mass spectrometry coupled with electrospray ionization (ESI) interface method is described for the identification of compounds in Nigella sativa L. samples. This method involved the use of [M+H] + and [M+Na] + ions in the positive ion mode with extractive ion monitoring (EIM). Acknowledgements: This research is funded in part by “Science Based Authentication of Dietary Supplements” Funded by the Food and Drug Administration grant number 2 U01 FD 002071-07. References: [1] Zawahry MR, (1963), Kongr Pharm Wiss Vortr Origenatitt, 23: 193–203. [2] Khan A, (1999), Inflammopharmacology, 7(1): 15–35. Fig. 1 HPLC chromatograms of standard mix, plant sample and dietary supplement at 260 nm (1) magnoflorine, (2) Kaempferol-3- O -β-glucopyranosyl (1 → 2)- O -β-galactopyranosyl (1 → 2)- O -glucopyranoside, (3) sieboldianoside A, (4) tauroside H2, (5) tauroside G3, (6) decaisoside D, (7) sapindoside B, (8) thymoquinone, (9) tauroside E.

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)0.001
metaresearch head score (Gemma)0.001
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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.331
Teacher spread0.302 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePlanta MedicaSame topicNigella sativa pharmacological applicationsFrench-language works237,207