The influence of cold water storage on fatty acids, antioxidant content and activity, and microbial load in ostrich fern (<i>Matteuccia struthiopteris</i>) fiddleheads
Bibliographic record
Abstract
DeLong, J. M., Hodges, D. M., Prange, R. K., Forney, C. F., Fan, L., Bishop, M. C., Elliot, M. L., Jordan, M. A. and Doucette, C. 2013. The influence of cold water storage on fatty acids, antioxidant content and activity, and microbial load in ostrich fern (Matteuccia struthiopteris) fiddleheads. Can. J. Plant Sci. 93: 683–697. The influence of upwards to 42 d of cold water storage (CWS) on selected bioactive compounds and microbial populations in ostrich fern (Matteuccia struthiopteris) fiddlehead tissue was investigated. Following harvest, the fiddleheads were stored in cold deionized water (1°C) with removals occurring at 1, 8, 18, 28 and 42 d. Post-removal analysis showed fiddlehead tissue had a unique fatty acid composition including γ-linolenic, dihomo-γ-linolenic, arachidonic and eicosapentaenoic acids. Post-storage tissue concentrations of ascorbic acid, α- and γ-tocopherol, α- and β-carotene, the xanthophyll pigments (violaxanthin, zeaxanthin and lutein) and phenolic compounds ranged from high to very high for green plant tissue. High antioxidant activity values were also recorded and were likely due to the elevated phenolic compound content. Site differences were also apparent for several of these measurements. The microbial data showed that the fiddleheads had relatively high populations of bacteria as well as yeast and fungi resident on the tissue and in the surrounding storage water. Significant linear and quadratic CWS effects (both positive and negative) occurred for many of the bioactive compound and microbial measurements. A CWS period of a month or perhaps longer at 1°C appears possible for ostrich fern fiddleheads before the nutritional content markedly declines.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".