Aim & Scope
Aim
Formulation Reports is an international, peer-reviewed journal published by Mentora Network dedicated to advancing research in pharmaceutical formulation science, dosage-form development, drug delivery, biopharmaceutics, pharmaceutical manufacturing, and emerging computational approaches to formulation development.
The journal provides a platform for experimental, computational, translational, and industrial research that advances the understanding, design, optimization, characterization, manufacture, performance, and clinical translation of pharmaceutical formulations and drug-delivery systems.
Scope
Formulation Reports welcomes original research articles, reviews, systematic reviews, short communications, technical reports, methods papers, perspectives, and formulation-focused data reports covering the following areas:
✓ Preformulation and physicochemical characterization
✓ Conventional and modified-release dosage forms
✓ Oral, parenteral, topical, transdermal, pulmonary, nasal, ocular, rectal, vaginal, buccal, sublingual and implantable drug-delivery systems
✓ Nanoparticles, liposomes, niosomes, micelles, nanoemulsions, solid lipid nanoparticles, nanostructured lipid carriers and nanomedicine platforms
✓ Polymeric, lipid-based and biomaterial-based delivery systems
✓ Hydrogels, films, patches, implants, microspheres and microcapsules
✓ Targeted, controlled, sustained, stimuli-responsive and site-specific drug delivery
✓ Formulation of poorly soluble and poorly permeable drugs
✓ Solubility enhancement, amorphous systems, solid dispersions, co-crystals and complexation
✓ Pharmaceutical excipients, excipient functionality and drug-excipient interactions
✓ Dissolution, drug release, permeability and in vitro-in vivo relationships
✓ Biopharmaceutics and formulation-related pharmacokinetics
✓ Protein, peptide, antibody, vaccine, nucleic-acid and biological formulations
✓ Gene and RNA delivery systems
✓ Long-acting drug-delivery technologies and precision drug delivery
✓ Three-dimensional and additive pharmaceutical manufacturing
✓ Continuous manufacturing and advanced pharmaceutical processing
✓ Pharmaceutical engineering, scale-up and technology transfer
✓ Process Analytical Technology (PAT), Quality by Design (QbD), Design of Experiments (DoE) and formulation optimization
✓ Stability, degradation, packaging and shelf-life assessment
✓ Regulatory science, biosimilars and complex generic formulation development
✓ In vitro, ex vivo and in vivo evaluation of pharmaceutical formulations
Artificial Intelligence and Computational Pharmaceutics
✓ AI and machine-learning-assisted formulation design and optimization
✓ Prediction of critical formulation attributes and product performance
✓ Machine-learning models for dissolution, stability, solubility, permeability and drug-release prediction
✓ AI-assisted excipient selection and compatibility prediction
✓ Computational optimization of nanoformulations and drug-delivery systems
✓ Molecular modelling and simulation applied to formulation behaviour
✓ Physiologically based pharmacokinetic and biopharmaceutic modelling
✓ Digital twins and computational models of pharmaceutical products and manufacturing processes
✓ AI-driven process optimization, PAT and pharmaceutical manufacturing
✓ Data science, chemometrics and multivariate modelling in formulation development
Note: Purely computational studies should demonstrate a clear relationship to formulation, drug delivery, biopharmaceutics, pharmaceutical manufacturing or product development.
