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Liquid–liquid equilibrium measurements and computational study of salt–polymer aqueous two phase system for extraction of analgesic drugs

MetadataDetails
Publication Date2022-08-16
JournalScientific Reports
AuthorsFariba Ghaffari, Mohammad Khorsandi, Hemayat Shekaari, Mohammed Taghi Zafarani-Moattar
InstitutionsUniversity of Tabriz
Citations12
AnalysisFull AI Review Included

This research details the development and characterization of a novel Aqueous Two-Phase System (ATPS) for the efficient extraction of analgesic drugs, combining experimental liquid-liquid equilibrium (LLE) measurements with advanced quantum computational analysis.

  • Novel ATPS Developed: A system composed of Polyethylene Glycol 600 (PEG600) and Potassium Hydroxide (KOH) in water was fully characterized at 298.15 K.
  • High Extraction Efficiency: The system achieved high extraction efficiencies (EE %) for both Ibuprofen (up to 93.42%) and Acetaminophen (up to 92.30%).
  • Hydrophobic Partitioning: Both drugs preferentially partitioned into the PEG-rich (top) phase, confirming the ATPS’s utility for separating hydrophobic solutes.
  • Hydrophobicity Correlation: The Partition Coefficient (K) trend, K(Ibuprofen) > K(Acetaminophen), directly correlates with the drugs’ respective log Kow values (3.97 vs. 2.34).
  • Computational Validation: Density Functional Theory (DFT) and Natural Bond Orbital (NBO) analysis confirmed that Ibuprofen forms stronger intermolecular interactions (H-bonds) with PEG than Acetaminophen does, validating the observed partitioning trend.
  • Engineering Models Applied: Experimental binodal and tie-line data were successfully correlated using established semi-empirical models (Merchuk, Zafarani-Moattar, Othmer-Tobias, Setschenow), ensuring data reliability and predictability.
ParameterValueUnitContext
ATPS ComponentsPEG600 + KOH + H2O-Polymer-Salt System
Operating Temperature298.15KLLE and Partitioning Experiments
Operating Pressure~85kPaAtmospheric Pressure
PEG Molar Mass600g mol-1Polyethylene Glycol (PEG600)
Maximum Ibuprofen K14.20-Partition Coefficient at highest TLL (66.1% w/w)
Maximum Acetaminophen K11.99-Partition Coefficient at highest TLL (66.1% w/w)
Maximum Ibuprofen EE %93.42%Extraction Efficiency (PEG-rich phase)
Maximum Acetaminophen EE %92.30%Extraction Efficiency (PEG-rich phase)
Ibuprofen log Kow3.97-Hydrophobicity Index
Acetaminophen log Kow2.34-Hydrophobicity Index
Strongest Ibuprofen-PEG E216.12kcal/molNBO Second-Order Perturbation Energy (Donor-Acceptor)
Strongest Acetaminophen-PEG E212.37kcal/molNBO Second-Order Perturbation Energy (Donor-Acceptor)
Refractive Index Precision±0.0001-Measurement of PEG concentration
Analytical Balance Precision±1 x 10-7kgGravimetric preparation of mixtures

The study utilized a combination of classical physical chemistry techniques for LLE determination and advanced quantum computing methods for molecular interaction analysis.

  1. Phase Diagram Determination (Cloud Point Titration):
    • Aqueous solutions of PEG600 (60 wt%) and KOH (50 wt%) were used.
    • Titration involved dropwise addition of KOH solution to PEG600 solution until the cloud point (biphasic region) was reached, followed by water addition until the solution became clear (monophasic region).
  2. Tie-Line Composition Analysis:
    • Five overall mixture compositions were prepared gravimetrically (precision ±1 x 10-7 kg).
    • Equilibrium was established by vigorous stirring (30 min) and subsequent placement in a water bath (298 K).
    • KOH concentration in both phases was determined using a flame photometer.
    • PEG concentration was determined via refractive index measurements (ATAGO DR-A1) using a linear calibration plot.
  3. Drug Partitioning and Efficiency Calculation:
    • 0.002 mass fraction of Ibuprofen or Acetaminophen was added to the separated equilibrium phases.
    • Samples were centrifuged (2,000 rpm for 10 min) and equilibrated for 24 hours.
    • Acetaminophen concentration was measured using UV spectroscopy (284, 261, 303 nm).
    • Ibuprofen concentration was measured using fluorescence spectrophotometry.
    • Partition coefficient (K) and extraction efficiency (EE %) were calculated using standard mass fraction ratios.
  4. LLE Data Correlation:
    • Binodal data were fitted using the three-parameter Merchuk and Zafarani-Moattar semi-empirical equations.
    • Tie-line consistency was verified using the Othmer-Tobias, Bancraft, and Setschenow correlations.
  5. Computational Study (DFT):
    • Geometry optimization of binary systems (Drug + PEG) was performed using Density Functional Theory (DFT) with the B3LYP-D3(BJ) functional.
    • Interaction energies (Eint) were calculated to determine the relative stability of Ibuprofen-PEG versus Acetaminophen-PEG complexes.
  6. Quantum Interaction Analysis:
    • Natural Bond Orbital (NBO) analysis was used to quantify donor-acceptor interactions (E2), confirming H-bond strength.
    • Quantum Theory of Atoms in Molecules (QTAIM) and Non-Covalent Interaction (NCI) analyses were applied to characterize the nature (ionic-covalent mix) and strength of intermolecular interactions.

The development of this highly efficient, non-toxic, salt-polymer ATPS offers significant advantages for separation processes in several high-value industries.

  • Pharmaceutical Manufacturing:
    • High-yield liquid-liquid extraction and purification of analgesic drugs (ibuprofen, acetaminophen) and other hydrophobic pharmaceutical compounds.
    • Alternative to traditional organic solvent extraction, reducing environmental impact and improving biocompatibility.
  • Biotechnology and Bioseparation:
    • Extraction and recovery of sensitive biomolecules (proteins, peptides) where high water content and low interfacial tension are critical for maintaining structure and function.
  • Chemical Engineering:
    • Design and optimization of large-scale liquid-liquid extraction columns based on the established LLE and correlation models (Othmer-Tobias, Setschenow).
  • Cosmetics and Food Industry:
    • Separation processes utilizing PEG, a non-toxic, FDA-approved polymer, suitable for products requiring high purity and safety standards.
  • Process Modeling and Simulation:
    • The validated computational models (DFT, QTAIM) provide a predictive tool for screening new drug-polymer combinations, accelerating process development.