TRATAMIENTOS POSCOSECHA CON MICROONDAS DE JITOMATE PARA EL CONTROL DE MICROORGANISMOS
Bibliographic record
Abstract
El jitomate es una hortaliza ampliamente cultivada y consumida en Mexico y es exportada principalmente a Estados Unidos, Canada y Japon. El jitomate es atacado por algunos microorganismos, entre ellos, el moho Botrytis cinerea causando perdidas de hasta 30% de la cosecha. Se han buscado alternativas que disminuyan la perdida por el moho que y conserven sus propiedades fisicoquimicas de los mismos sin hacer uso de pesticidas. El objetivo del presente estudio es proponer un tratamiento con microondas alcanzando una temperatura objetivo para la muerte del moho, sin danar las propiedades fisicoquimicas del alimento. Se usaron lotes de 350±10g de jitomates Saladette inmaduros sumergidos en 330 g de agua, se calentaron con microondas a 206 o 502 W de potencia en el horno hasta alcanzar una temperatura interna de 48°C por 1.24 min (temperatura y tiempo de muerte de B. cinerea) y se enfriaron con agua fria a 10°C. Se dejo un lote sin tratar como testigo. Los jitomates se almacenaron a temperatura ambiente durante 13 dias, analizando muestras los dias 1, 5, 9 y 13. El tratamiento a 502 W logro mantener las propiedades fisicoquimicas del jitomate por mayor tiempo en comparacion al tratamiento a 206 W y el control, por lo que el tratamiento a 502 W previene el deterioro del jitomate causado por Botrytis cinerea durante 13 dias a temperatura ambiente.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".