An In-House X-ray Fluorescence Spectrometer Development for <i>In Vivo</i> Analysis of Plants
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
X-ray fluorescence spectroscopy (XRF) is an analytical technique employed to determine the elemental composition of diverse materials. Due to its nondestructive nature and direct analysis that requires little or no sample preparation, it has been particularly useful for investigating the mineral composition of plants and soil. However, commercially available XRF benchtop equipment often restricts this type of experiment in plant science due to the volume of the sample chamber and the source–detector geometry. To overcome this problem, we developed an XRF setup that prioritizes in vivo -based experiments. The equipment is equipped with a 4 W Ag X-ray tube and a silicon drift detector. The detection limits are comparable to those of commercial instruments and suitable for evaluating plant tissues. Finally, a case study using tomato plants as a model species and rubidium (Rb + ) and strontium (Sr 2+ ) as tracers for potassium (K + ) and calcium (Ca 2+ ), respectively, demonstrated their feasibility for long-term in vivo analysis. Therefore, the present XRF system stands out as a viable and cost-effective tool for assessing the absorption and transport of minerals in plant tissues probed by time-resolved in vivo X-ray spectroscopy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it