Functional ingredients in cooked Colombian diploid potatoes
Bibliographic record
Abstract
Potato, due to its high consumption worldwide, can be exploited for the delivery of functional ingredients, especially for the poor who do not take any supplements. In this study, the functional ingredients-related metabolites in cooked tubers of eight diploid potato genotypes (Solanum tuberosum Group phureja) from Colombia were explored. The plants were grown under field conditions in a randomized block design. A total of 24 samples (8 genotypes*3 replications) were used in this study. Tubers were harvested, lyophilized, stored at -80â and boiled for 30 minutes. Metabolites were extracted from flesh samples using 60% aqueous methanol with 0.1% formic acid and analyzed using liquid chromatography and high resolution mass spectrometry (LC-HRMS) system. The data files were processed using MZmine-2 software. The peaks were putatively identified based on monoisotopic mass with accurate mass error (AME)<5ppm and fragmentation patterns. Statistical analysis (ANOVA) was done to identify significant metabolites. A total of 294 metabolites were putatively identified and these metabolites belonged to different chemical groups such as phenylpropanoids, flavonoids, alkaloids, fatty acids, and terpenoids. The functional ingredients properties of these identified metabolites were searched in databases and literature. A total of 87 metabolites were associated with health-benefiting roles for humans, such as anticancer, anti-inflammatory, antioxidant, antitumor, antimicrobial, and antiviral. The fold change in abundance of each metabolite was calculated relative to its abundance in the genotype AC04. The natural occurrence of compounds in cooked potato was confirmed based on in-house metabolite library of uncooked potato genotype, Shepody. Several metabolites such as chlorogenate, N-Feruloyltyramine, linoleic acid, and γ-Linolenic acid were detected in cooked potato as reported from uncooked potato. This study reported several metabolites with functional ingredients values. The metabolites identified here were ranked based on relative fold change in abundance of metabolites in eight genotypes. The metabolites detected in high fold change and with functional ingredients properties can be used as candidates in Colombian potato breeding programs to improve functional ingredients in the indigenous communitiesâ cultivars.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".