Accumulation of HMX (Octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine) in Indigenous and Agricultural Plants Grown in HMX-Contaminated Anti-Tank Firing-Range Soil
Bibliographic record
Abstract
To investigate their potential for phytoremediation, selected agricultural and indigenous terrestrial plants were examined fortheir capacity to accumulate and degrade the explosive octahydro-1 ,3,5,7-tetra nitro-1,3,5,7-tetrazocine (HMX). Plant tissue and soil extracts were analyzed for the presence of HMX and possible degradative metabolites using high-performance liquid chromatography with diode-array UV detection (HPLC-UV), micellar electrokinetic chromatography with diode-array UV detection (MEKC-UV), and HPLC with electrospray ionization mass spectrometry (LC-MS). The pattern of HMX accumulation for alfalfa (Medicago sativa), bush bean (Phaseolus vulgaris), canola (Brassica rapa), wheat (Triticum aestivum), and perennial ryegrass (Loliumperenne) grown in a controlled environment on contaminated soil from an anti-tank firing range was similar to that observed for plants (wild bergamot (Monarda fistulosa), western wheat grass (Agropyron smithii), brome grass (Bromus sitchensis), koeleria (Koeleria gracilis), goldenrod (Solidago sp.), blueberry (Vaccinium sp.), anemone (Anemone sp.), common thistle (Circium vulgare), wax-berry (Symphoricarpos albus), western sage (Artemisia gnaphalodes), and Drummond's milk vetch (Astragalus drummondii)) collected from the range. No direct evidence of plant-mediated HMX (bio)chemical transformation was provided by the available analytical methods. Traces of mononitroso-HMX were found in contaminated soil extracts and were also observed in leaf extracts. The dominant mechanism for HMX translocation and accumulation in foliar tissue was concluded to be aqueous transpirational flux and evaporation. The accumulation of HMX in the leaves of most of the selected species to levels significantly above soil concentration is relevant to the assessment of both phytoremediation potential and environmental risks.
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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) | 0.000 | 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) | 0.001 | 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".