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Record W1641193164

Ingredientes funcionales de plantas ecuatorianas

2011· article· es· W1641193164 on OpenAlexaboutno aff
Jorge Dávila, Andrés Calero, Stalin Roldán

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2011
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPlant and soil sciences
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

El Ecuador tiene una biodiversidad vegetal inmensa gracias a su posición geográfica que genera múltiples microclimas y permite el cultivo de diversas plantas con propiedades útiles para el hombre. Existen plantas con ingredientes funcionales que se han venido utilizando desde hace mucho tiempo y que son objeto de estudio en muchas partes del mundo por su utilidad en la prevención de enfermedades crónicas como el cáncer, el deterioro mental, visual y las enfermedades cardiovasculares entre otras. La demanda de productos con ingredientes funcionales en alimentos, hierbas o tés, es creciente especialmente en los países desarrollados como Estados Unidos de América, Japón, Canadá y algunos países de Unión Europea, que buscan oferta de buena calidad en los países en vías de desarrollo como el nuestro. El Ecuador, gracias a sus características climáticas singulares, es capaz de proveer algunos de los productos demandados a nivel mundial y a nivel nacional. Consecuentemente, la demanda de productos con ingredientes funcionales puede generar fuentes agroindustriales de producción con efectos socio económicos muy interesantes. Se realizó una búsqueda cuidadosa de productos con ingredientes funcionales, de los cuales, algunos conocidos como alimentos nutricionales solamente, otros usados como condimento en forma muy limitada y otros desconocidos pero con una funcionalidad digna de estudio. Las plantas seleccionadas contemplaron 2 frutos, uno de la costa, fruto del pan, (Artocarpus camansi); uno de la sierra, mortiño (Vaccinium floribundum); y una hierba, ajo de monte (Mansoa alliacea) proveniente de la Región Oriental. El fruto de pan resultó ´o ser una buena fuente de vitamina B3, el mortiño una fruta rica en polifenoles, y el ajo de monte, una buena fuente de antioxidantes, con un contenido de alliina, fuente de allicina, muy importante, además de vitamina E, vitamina C, Selenio y Cromo. / Ecuador has a huge vegetal biodiversity due to its geographical position which generates many microclimates and allows the cultivation of plants with useful properties for humans. There are plants with functional ingredients that have been used for a long time and are being assessed in many parts of the world for its usefulness in the prevention of chronic diseases like cancer, mental impairment, visual decay, cardiovascular diseases and others. The demand for functional ingredients in foods, herbs and teas is increasing specially in developed countries as the United States of America, Japan, Canada and countries of the European Union which are looking for good quality supply from developing countries like ours. Ecuador is able to provide some of the demanded products overseas and in the country itself. The demand on these products can stimulate the development of industrial sources of functional products with very interesting economic and social effects. It was conducted a careful search of products with functional ingredients including some foods known as nutritional foods only, others used as a condiment and others with functionality still unknown, although referred as functional products by people of some communities, but worthy of research. The selected plants were two fruits, one of the coastal region, known as breadfruit (Artocarpus camansi) and one of the mountain regions known as mortiño (Vaccinium floribundum) and one herb known as mountain garlic (Mansoa alliacea). The fruit of bread was a good source of vitamin B3, the mortiño a fruit rich in polyphenols, and garlic mountain, a good source of antioxidants, containing alliin, allicin source, very important, plus vitamin E, vitamin C, selenium and chromium

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.036
GPT teacher head0.229
Teacher spread0.192 · 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 designObservational
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

Citations4
Published2011
Admission routes1
Has abstractyes

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