Development Of ELISA Kit For Detection Of Glyphosate-Resistant Genetically Modified Soybean
Bibliographic record
Abstract
The goal of research was development of competitive ELISA kit for detection of genetically modified plants resistant to glyphosate. As the source for gene isolation we have used leaves of GM soybean RoundUp Ready, line 40-3-2 (Monsanto). Using polymerase chain reaction the gene encoding the enzyme 5-enolpiruvilshykimat-3-phosphate synthase (CP4 EPSPS) was isolated, which provides resistance to the herbicide glyphosate. Isolated gene has been cloned into plasmid vector pET24(a), creating genetic construct pET-CP4EPSPS. E.coli (BL 21(DE3)) has been transformed by genetic construct and over expressed after induction by 0.5 mM IPTG. Recombinant enzyme CP4 EPSPS with molecular weight 45 kD was purified as inclusion bodies and used as antigen for 96-well polystyrene plates immobilization. Monoclonal antibodies CP4 EPSPS mAb3 (Artron BioResearch Inc., Canada) was used for synthesis of horseradish peroxidase conjugate and receiving diagnostic reagent. We have shown that in the competitive ELISA we can detect at least 0.1% of GM plants resistant to glyphosate, on the example of soybean (line RR 40-3-2), moreover we can also detect rapeseed (line GT73) and sugar beet (line H7-1).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".