Behavior of Dissociated Salts in Aqueous Solution: Insights From T <sub>2</sub> Relaxation Time and Signal Intensity Using a LF‐NMR
Bibliographic record
Abstract
ABSTRACT This study explores the influence of NaCl, KCl, CaCl 2 , and MgCl 2 , salts commonly used in the food industry, on aqueous solutions using transverse (T 2 ) relaxometry in low‐ field nuclear magnetic resonance (LF‐NMR) at a salt‐to‐water ratio ranging from 0 to 0.1079 mol/mol. The results demonstrate that T 2 relaxation times are significantly affected by the chemical nature and concentration of the ions, with divalent salts exhibiting distinct behavior compared to monovalent salts. Notably, the kosmotropic (structure‐making) and chaotropic (structure‐breaking) properties of the salts were found to influence relaxation times. Mg 2+ exhibited the most pronounced effect (low relaxation time) due to its high charge density and strong hydration ability, followed by Ca 2+ , Na + , and K + . Relaxation times decreased with increasing salt concentration for MgCl 2 , CaCl 2, and NaCl (from 3080 ms at 0% to 504, 1671, and 2796 ms at 0.1079 mol/mol, respectively), whereas the chaotropic KCl solution had extended relaxation times (3884 ms at 0.0771 mol/mol). A novel finding of this study is the exponential decay of peak area in salt solutions, as evidenced by experimental data. The alteration in the structural arrangement of water and the synergistic movement of cations or anions in higher‐mass salt solutions are hypothesized to underlie the observed behavior, although the exact reason requires further study. Electrical conductivity (EC), water activity, and the enthalpy of solution upon salt incorporation provide further insights into the behavior of salt solutions. This research advances the understanding of how ionic solutes modulate water dynamics, affecting both relaxation time and the total peak area.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".