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Updated: Feb 9, 2026

Macrophage Differentiation and Polarization into an M2-Like Phenotype using a Human Monocyte-Like THP-1 Leukemia Cell Line
Published on: August 2, 2021
Blue M2: an intermediate melanoidin studied via conceptual DFT
Juan Frau1, Daniel Glossman-Mitnik2,3
1Departament de Química, Universitat de les Illes Balears, Palma de Mallorca, 07122, Spain.
This study assessed density functionals for calculating the molecular properties of blue-M2 intermediate melanoidin pigment. MN12SX and N12SX functionals proved most accurate for predicting chemical reactivity.
Area of Science:
- Computational chemistry
- Theoretical chemistry
- Materials science
Background:
- Melanoidin pigments are complex macromolecules formed during the Maillard reaction.
- Understanding the molecular structure and properties of melanoidin intermediates is crucial for controlling their characteristics.
- Computational methods offer a pathway to investigate these complex systems.
Purpose of the Study:
- To computationally evaluate the performance of ten density functionals for predicting the molecular properties and structure of the blue-M2 intermediate melanoidin pigment.
- To identify the most suitable density functionals for characterizing the chemical reactivity of this pigment.
- To accurately predict the maximum absorption wavelength of the blue-M2 intermediate.
Main Methods:
- Utilized ten density functionals (CAM-B3LYP, LC-ω PBE, M11, M11L, MN12L, MN12SX, N12, N12SX, ω B97X, ω B97XD) with the Def2TZVP basis set.
- Employed the SMD solvation model to account for solvent effects.
- Calculated chemical reactivity descriptors using conceptual density functional theory (DFT).
- Identified active sites for nucleophilic, electrophilic, and radical attacks using Fukui functions, electrophilic Parr functions, and condensed dual descriptors.
Main Results:
- The study accurately predicted the maximum absorption wavelength of the blue-M2 intermediate compared to experimental data.
- MN12SX and N12SX density functionals demonstrated superior performance in predicting chemical reactivity.
- The Fukui function, electrophilic Parr functions, and condensed dual descriptors effectively identified active sites for various chemical attacks.
Conclusions:
- MN12SX and N12SX density functionals are recommended for future computational studies on blue-M2 intermediate melanoidin pigment.
- Conceptual DFT provides valuable insights into the chemical reactivity and active sites of melanoidin pigments.
- Computational modeling is a powerful tool for understanding complex pigment systems.
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