MétaCan
Menu
Back to cohort
Record W1770289680 · doi:10.1039/c5fo00309a

Melissa officinalis L. decoctions as functional beverages: a bioactive approach and chemical characterization

2015· article· en· W1770289680 on OpenAlexaff
Márcio Carocho, Lillian Barros, Ricardo C. Calhelha, Ana Ćirić, Marina Sokóvić, Celestino Santos‐Buelga, Patrícia Morales, Isabel C.F.R. Ferreira

Bibliographic record

VenueFood & Function · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsInstitute for Biological Sciences
FundersKansainvälisen Liikkuvuuden ja Yhteistyön KeskusMinistarstvo Prosvete, Nauke i Tehnološkog Razvoja
KeywordsDecoctionRosmarinic acidLamiaceaeMelissa officinalisQuinic acidAntimicrobialChemistryAntioxidantTraditional medicineEnterobacter aerogenesOfficinalisFood scienceBiochemistryBiologyBotanyEscherichia coliMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

Lemon balm (Melissa officinalis L.) is a member of the Lamiaceae family with a long story of human consumption. It has been consumed for decades, directly in food and as a decoction or an infusion for its medicinal purposes. In this manuscript, a detailed chemical characterization of the decoction of this plant is described, encompassing antimicrobial, antioxidant and antitumor activities. Rosmarinic acid and lithospermic acid A were the most abundant phenolic compounds. Quinic acid, fructose, glucose and γ-tocopherol were the most abundant within their groups of molecules. M. officinalis decoctions were active against a wide range of microorganisms, Pseudomonas aeruginosa and Salmonella typhimurium, and Penicillium funiculosum being the most sensitive bacteria and fungi, respectively. The growth inhibition of different human tumor cell lines (mainly MCF-7 and HepG2) was also observed, as also high free radical scavenging activity and reducing power. This manuscript highlights some beneficial effects of these functional beverages.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.043
GPT teacher head0.199
Teacher spread0.157 · 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

Citations71
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueFood & FunctionSame topicPhytochemistry and Biological ActivitiesFrench-language works237,207