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Record W2784786987 · doi:10.6000/1927-5129.2017.13.102

The Impact of Sun Drying on the Occurrence of Aflatoxin in Red Chilies

2018· article· en· W2784786987 on OpenAlexvenueno aff
Najmus Sahar, Shahid Yousaf, Sahar Shibli, Salman Khurshid, Hafiza Mehwish Iqbal, Qurrat-ul-Ain Akbar, Saqib Arif

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsnot available
Fundersnot available
KeywordsAflatoxinMycotoxinContaminationMoistureToxicologyFood scienceBiologyChemistryEcology

Abstract

fetched live from OpenAlex

A major challenge in post-harvest protection of chilies is its rapid drying to prevent quality deterioration as a result of fungal contamination. The speed and efficiency of drying is crucial as the improper and prolonged drying may eventually initiate the buildup of mycotoxins. This research demonstrated levels of aflatoxin in samples at different stages of drying with the objective to assess the efficiency of the common practice of on-farm sun drying in Pakistan. The results indicated that there was no significant pre-harvest contamination of aflatoxins in chilies grown at different locations under study. Sun drying of the harvested chilies over a post drying stage reduced average moisture content from 69.70% to 9.87%, but also led to a gradual increase in the level of aflatoxins. The correlation between the observed increase in aflatoxin levels and the length of the drying period was found to be statistically significant (P<0.05) at all the locations investigated. The implications of the findings are discussed in relation to optimizing the post-harvest drying process to minimize the levels of aflatoxin in chilies.

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)0.002
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 score0.699
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.265
Teacher spread0.236 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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