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Peer-reviewedCC BY-NC-ND 4.0ACS Omega

Terahertz Spectroscopy-Enabled Smart Monitoring of Drug Salt Synthesis: A Case Study on 8-Hydroquinolinium Salicylate

  1. 1Guizhou Institute of Metrology , , ,
  2. 2Guizhou Normal University , , ,

Abstract

While salt formation is a proven strategy to overcome poor aqueous solubility and facilitate the development of active pharmaceutical ingredients, real-time monitoring of this process still lacks molecular-resolution process analytical technology (PAT). Using 8-hydroxyquinolinium salicylate as a model system, this study integrates cryogenic terahertz spectroscopy, Born–Oppenheimer molecular dynamics (BOMD), and interpretable deep learning to develop a terahertz time-domain spectroscopy (THz-TDS) workflow for stage-resolved monitoring of pharmaceutical salt formation. THz measurements (80 ∼300 K) revealed the anharmonic character of the lattice vibrations, whose dominant features were reproduced and assigned by BOMD simulations. Umbrella sampling indicated a nearly barrierless proton-transfer process (ΔG‡ = 1.7 kcal/mol) with picosecond-scale shuttling dynamics. Statistical analysis of ten kinetic models confirms first-order conversion (AIC = −151.2; n = 0.99 ± 0.02) and yielded an Arrhenius activation energy of 45.2 ± 2.3 kJ/mol for predictive process optimization. Dissolution data (n = 3; mean ± SD) showed a statistically significant 2.0–2.6-fold enhancement across pH 1.2, 6.8, and 7.4, as assessed by Welch’s t test and two-way ANOVA with Tukey’s HSD test (p < 0.001). The interpretable CNN achieved 98.2% hold-out test accuracy and used SHAP to link decisions to chemical fingerprint bands. Overfitting was evaluated through spectral dimensionality reduction, dropout, a stratified training/test split, 5-fold cross-validation, leave-one-batch-out cross-validation, and external batches under shifted thermal conditions, with accuracy retained at ≥ 92.7%. These results support a proof-of-concept, interpretable THz-TDS PAT workflow with molecular-level resolution.

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BibTeX
@article{song2026terahertz,
  title = {{Terahertz Spectroscopy-Enabled Smart Monitoring of Drug Salt Synthesis: A Case Study on 8-Hydroquinolinium Salicylate}},
  author = {Maojiang Song and Fei Yang and Ying Lu and Shijun Min and Caixia Su},
  journal = {ACS Omega},
  year = {2026},
  month = oct,
  doi = {10.1021/acsomega.6c08659},
  url = {https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08659/5454799/Terahertz-Spectroscopy-Enabled-Smart-Monitoring-of},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Terahertz Spectroscopy-Enabled Smart Monitoring of Drug Salt Synthesis: A Case Study on 8-Hydroquinolinium Salicylate
AU  - Maojiang Song
AU  - Fei Yang
AU  - Ying Lu
AU  - Shijun Min
AU  - Caixia Su
PY  - 2026
DA  - 2026/10/20
JO  - ACS Omega
DO  - 10.1021/acsomega.6c08659
UR  - https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08659/5454799/Terahertz-Spectroscopy-Enabled-Smart-Monitoring-of
AB  - While salt formation is a proven strategy to overcome poor aqueous solubility and facilitate the development of active pharmaceutical ingredients, real-time monitoring of this process still lacks molecular-resolution process analytical technology (PAT). Using 8-hydroxyquinolinium salicylate as a model system, this study integrates cryogenic terahertz spectroscopy, Born–Oppenheimer molecular dynamics (BOMD), and interpretable deep learning to develop a terahertz time-domain spectroscopy (THz-TDS) workflow for stage-resolved monitoring of pharmaceutical salt formation. THz measurements (80 ∼300 K) revealed the anharmonic character of the lattice vibrations, whose dominant features were reproduced and assigned by BOMD simulations. Umbrella sampling indicated a nearly barrierless proton-transfer process (ΔG‡ = 1.7 kcal/mol) with picosecond-scale shuttling dynamics. Statistical analysis of ten kinetic models confirms first-order conversion (AIC = −151.2; n = 0.99 ± 0.02) and yielded an Arrhenius activation energy of 45.2 ± 2.3 kJ/mol for predictive process optimization. Dissolution data (n = 3; mean ± SD) showed a statistically significant 2.0–2.6-fold enhancement across pH 1.2, 6.8, and 7.4, as assessed by Welch’s t test and two-way ANOVA with Tukey’s HSD test (p < 0.001). The interpretable CNN achieved 98.2% hold-out test accuracy and used SHAP to link decisions to chemical fingerprint bands. Overfitting was evaluated through spectral dimensionality reduction, dropout, a stratified training/test split, 5-fold cross-validation, leave-one-batch-out cross-validation, and external batches under shifted thermal conditions, with accuracy retained at ≥ 92.7%. These results support a proof-of-concept, interpretable THz-TDS PAT workflow with molecular-level resolution.
SN  - 2470-1343
ER  -