Cold-climate grown sorghum: their physicochemical and functional properties related to starch and phenolic contents
Bibliographic record
Abstract
Sorghum, a C4 plant, has the potential to support circular and agriculturally smart economies. However, its potential for use in colder regions remains largely untapped due to cultivation challenges. Recent breeding strategies have yielded sorghum varieties that adapt to these cold climates, yet their properties and applications have not been explored. This research analyzed the physicochemical attributes of isolated starches and phenolic and anthocyanin contents and their thermal stability in selected sorghum genotypes. The study focused on sorghum genotypes from the Netherlands (Dusormil varieties: HD) and Canada (CGSH varieties), each bred to adapt to cold climates. Wet milling was used for starch isolation, and acidified methanol with ultrasonic-assisted extraction for phytochemical isolation. The isolated starch granules displayed polymorphism with surface indentation and granule sizes ranging from 1µm to 20µm. Colorimetric analysis showed distinct hues of pink, with CGSH-9 being the lightest (L* value of 92.49%) and HD101 the darkest (L* value of 82.29%). All the samples exhibited type-A starch with relative crystallinity ranging from 25.24-28.74%. HD7 had the highest peak viscosity (3842 cP), while CGSH-9 had the lowest (2672 cP). Gelatinization temperature ranged from 61.86±1.66°C to 77.44±1.86°C, with an average temperature range of 15.59°C. Phytochemical analysis revealed that black sorghum varieties (HD100 and HD101) had higher total phenolic content (TPC) and total anthocyanin content (TAC). than the brown (HD7) and white (HD19) varieties. The TPC and TAC positively correlated to their activities against ABTS and DPPH. Cooking negatively affected the TAC except for the decorticated HD7 and HD19 samples that showed improved concentration post-cooking, and the TPC appeared more stable. HPLC analysis revealed three dominant anthocyanins in the samples: luteolinidin, apigeninidin and peonidin. The bran of HD7 exhibited the highest cellular antioxidant activity. These findings underscore the potential of these newly bred sorghum accessions, specifically tailored for cold climates, as viable substitutes for gluten-containing starches in industrial applications and consumption. The phytochemical analysis also revealed their potency in combating the menace associated with reactive oxygen species for improved health.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".