Antibody-based detection and quantification of Pectobacterium carotovorum ssp. carotovorum
Bibliographic record
Abstract
'Pectobacterium carotovorum' ssp. 'carotovorum ' ('Pcc') is implicated in the destruction of ornamental plants in greenhouse recirculating systems. PCR-based detection and quantification of 'Pcc' requires expensive instrumentation and knowledgeable users. This thesis describes the production of polyclonal antibodies and a single-domain antibody fragment (VHH) against 'Pcc' lipopolysaccharide (LPS), and the development of user-friendly diagnostic assays for detection and quantification of the pathogen. Polyclonal ELISAs against heat-killed (HK) 'Pcc' (limit of detection (LOD) = 81 CFU/ml; limit of quantitation (LOQ) = 216 CFU/ml) and 'Pcc' LPS (LOD = 23 ng/ml; LOQ = 76 ng/ml) were developed. A preliminary user-friendly dipstick assay was also developed (>= 105 CFU/ml). A phage display library was constructed (6.0 x 105 clones/ml), yielding one unique anti-'Pcc' LPS VHH. Using the ' Pcc' LPS-specific VHH to produce affordable, user-friendly diagnostic assays is feasible since antibody fragments can be produced on a large scale through expression in 'Escherichia coli' or ' Piccia pastoris'.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 0.001 |
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".