Pilot-Scale Production of Washed Cottonseed Meal and Co-Products
Bibliographic record
Abstract
Enhanced utilization of defatted cottonseed meal (CSM)-based products as biobased raw materials would increase the profitability of cotton growers and processors. In this work, a multiple-step procedure that can be used to produce water washed cottonseed meal (WCSM) and a co-product water soluble cottonseed protein (CSPw) from CSM was tested at pilot scale. Alternatively, the procedure can also be used to produce CSPw, alkali soluble protein (CSPa) and the protein extracted insoluble residue (CSIR). The chemical composition of these pilot-produced products was generally comparable to that of the corresponding laboratory-prepared products. The fiber content was higher in the pilot-produced WCSM than in laboratory-produced product mainly due to the higher fiber content in the mill-based starting meal material used in the pilot trial. The protein content in the pilot-produced CSPw was only 64.4% of the solid matter, indicating that additional rinse is needed before drying the HCl-precipitated CSPw fraction. Per the yield and composition data, it was concluded that it was feasible to produce the four products WCSM, CSPw, CSPa, and CSIR from CSM in a large scale. Thus, adoption of this procedure would provide the necessary quantities for exploring the practical utilization of these products in biomaterial industry.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".