Evidence map›Paper›PMID 41664448›Full record

ArticleMolecular pharmaceutics2026

Solubility of Incongruently Melting Active Pharmaceutical Ingredient Cocrystals: The Hydrochlorothiazide-Nicotinamide System.

Sahar Nasrallah, Tejas Gavali, Isil Yavuz, Mirjana Minceva

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Article in Molecular pharmaceutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Sahar NasrallahBiothermodynamics, TUM School of Life Sciences, Technical University of Munich, Maximus-von Imhof-Forum 2, Freising 85354, Germany.ORCID 0009-0008-5076-7089
Tejas GavaliBiothermodynamics, TUM School of Life Sciences, Technical University of Munich, Maximus-von Imhof-Forum 2, Freising 85354, Germany.
Isil YavuzBiothermodynamics, TUM School of Life Sciences, Technical University of Munich, Maximus-von Imhof-Forum 2, Freising 85354, Germany.
Mirjana MincevaBiothermodynamics, TUM School of Life Sciences, Technical University of Munich, Maximus-von Imhof-Forum 2, Freising 85354, Germany.ORCID 0000-0001-9820-7410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical cocrystallization is a promising strategy to enhance the solubility and bioavailability of hydrophobic active pharmaceutical ingredients (APIs). However, when API-coformer cocrystals exhibit incongruent melting, understanding and predicting their solubility in water becomes significantly more complex. In this work, a combined experimental and thermodynamic modeling approach is presented to investigate the API solubility enhancement in a ternary API-coformer-water system. Hydrochlorothiazide (HCT), a biopharmaceutics classification system (BCS) class IV diuretic, and nicotinamide (Nic), a generally recognized as safe (GRAS)-listed coformer, were selected as a representative system that forms an incongruently melting 1:1 cocrystal, which was confirmed experimentally using differential scanning calorimetry (DSC) and powder X-ray diffraction (PXRD). Binary solid-liquid equilibrium (SLE) data for the HCT-Nic, HCT-water, and Nic-water systems were experimentally measured at different temperatures. The nonrandom two-liquid (NRTL) model was then used to regress the binary interaction parameters from the binary SLE data. These parameters were then used to predict ternary SLE phase diagrams of the HCT-Nic-water system at 310.15 K, 330.15 K, and 350.15 K. The NRTL-modeled SLE diagrams revealed the key features of the ternary system, including the absence of cocrystal formation at 310.15 K and the emergence of a cocrystal phase region with incongruent dissolution behavior at elevated temperatures. The highest HCT solubility was obtained at the ternary API-rich eutectic composition, with a solubility enhancement factor (Φ) of 2.1-2.4 across the studied temperatures. In contrast, dissolving the 1:1 cocrystal directly in water yielded significantly lower solubility enhancements (Φ ≈ 1.0-1.3). These findings clearly demonstrate that selecting a binary HCT-Nic mixture that, upon dilution in water, reaches the eutectic composition in the ternary HCT-Nic-water system yields greater solubility enhancement than starting from the cocrystal composition. This study emphasizes the importance of thermodynamic modeling in understanding solubility behavior and guiding the rational design of cocrystal-based pharmaceutical formulations, especially for API-coformer systems exhibiting incongruent melting.

Indexed as

HydrochlorothiazideNiacinamideBulk DrugsCalorimetry, Differential ScanningChemistry, PharmaceuticalCrystallizationPowder DiffractionSolubilityThermodynamicsWaterX-Ray DiffractionBulk DrugsHydrochlorothiazideNiacinamideWaterdrug solubilityeutectic mixturespharmaceutical cocrystalssolid−liquid equilibriathermodynamic modeling

Identifiers

PMID41664448
PMCPMC12958295

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.