Comparison of Methods for the Extraction and Concentration Determination of Total Protein in Maize
Bibliographic record
Abstract
The extraction and concentration determination of total protein in maize organs is a key step for proteomic research.In this study.Using maize leaves and silks as materials,6 methods for total protein extraction,i.e.Phosphate Buffer(PB),Tris,Improved Tris,TCA-acetone,Plant Total Protein Extraction Kit and its improved one were compared in respective extraction quantity and quality;simultaneously,3 methods of Bradford,2-D Quant Kit and UV were compared in accuracy of protein concentration determination.The results showed:1.the amount of total protein extracted by the above methods was Plant Total Protein Extraction KitImproved Plant Total Protein Extraction KitImproved TrisTrisTCA-acetone PB;2.The quality of total protein extracted was Plant Total Protein Extraction KitImproved Plant Total Protein Extraction KitTCA-acetone Improved TrisTrisPB;3.The protein concentrations determined by both methods of Bradford and 2-D Quant Kit were accurate and no significant difference,however the one determined by UV method was inaccurate.Taking one consideration with another,using Improved Tris for SDS-PAGE and Improved Plant Total Protein Extraction Kit for 2-DE analyses,and Bradford for concentration measurement would be efficient.It should be a good reference for proteomic research in maize.
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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 | 0.000 | 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 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".