Assessment of Preparation Methods to Produce a Postharvest Spinach Wash Water Model for Sanitizer Validation Studies and Comparison of Sanitizer Quantitation Methods
Why this work is in the frame
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Bibliographic record
Abstract
Currently no standard benchtop preparation method exists for simulated produce wash water, which makes it challenging to compare sanitizer efficacy reports and provide guidance for growers regarding water quality monitoring and free chlorine quantification. This work compares benchtop preparation methods for spinach-based model wash water (blender vs stomacher), metrics for organic load standardization (chemical oxygen demand (COD) vs nephelometric turbidity units (NTU)), and free chlorine quantitation methods (N,N-diethyl-p-phenylenediamine (DPD) vs iodometric titration (IOD)). It was found that COD is a more reliable metric for organic load standardization than NTU. Blender- and stomacher-generated wash water had similar physicochemical properties at organic loads up to 1000 mg/L COD, so both methods are acceptable, and DPD titration reflected expected patterns of free chlorine consumption in wash water more accurately than IOD. These results support the use of select wash water preparation and free chlorine detection methods, informing the development of a standardized protocol.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it