Acceptability and antioxidant properties of a semi-dried and smoked tomato product
Bibliographic record
Abstract
Tomatoes (Lycopersicon esculentum) are good sources of antioxidants, such as lycopene, which have been shown to be beneficial for health. Careful drying of tomatoes can concentrate antioxidants and provide a tasty food product that can help to reduce the incidence of cancers and cardiovascular diseases. Semi-drying to a final dry matter content of 20 % at 40°C followed by smoking was used to produce a new tomato product. Colour, pH, titratable acidity and lycopene, vitamin C and total phenol content and antioxidant activity of two tomato cultivars (Caluna and Toronto) were determined on fresh, dried or smoked samples and on final products made from the two different cultivars. The pH of the fresh and final products were very similar (overall mean 4.43±0.02) while the titratable acidity of the final product increased to a mean of 1.24 % citric acid compared to the fresh tissue mean of 0.47 % citric acid. The drying process increased the extracted lycopene content from a mean of 94.4 mg/100 g DM in the fresh tomatoes to 126.4 mg/100 g DM in the semi-dried tomatoes. In contrast, the total phenols were reduced from a mean of 255 mg GAE/100 g DM in the fresh tomatoes to a mean of 214 mg GAE/100 g DM in the semi-dried tomatoes. The mean vitamin C content of the fresh tissue was 313 mg/100 g DM with 32 mg/100 g DM retained in the dried tissue. The overall mean antioxidant capacity of the dried product was increased by the drying and processing treatments to a mean of 2373 ABTS (µM Trolox/100 g DM). Measurement of the colour of the dried products showed the typical red colour of the tomatoes was retained during processing. Panellists evaluated three tomato products made from the cultivars Caluna and Toronto for appearance, colour, taste and overall acceptance. In contrast to many commercial products, the colour of the new tomato products was similar to the
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".