Mono-Size Distribution Index (MSDI): A new criterion for the quantitative description of size distribution

Document Type : Research Article

Authors

Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran

Abstract

Graphical size distribution is widely used in different fields of science and studies related to powders, droplets, bubbles, and pores. However, in some condition it may also be necessary to express the size distribution quantitatively. In spite of there being several suggested ways to quantify size distribution in the literature, some of these approaches are not applicable for many methods and the rest have other drawbacks. In this study, first, some quantitative size distribution methods (such as the polydispersity index) and their defects are concisely discussed. SPAN seems to be the most generally appropriate method, its parameters are determined from cumulative size distribution data. Nevertheless, some specific results imply that there are still some drawbacks in this method. Next, a new quantitative description of size distribution is presented which is applicable to many different techniques. In this method the characterization value is limited to 0 and 1, where 0 is related to completely polydispersed size distribution and 1 denotes the completely monodispersed size distribution.

Graphical Abstract

Mono-Size Distribution Index (MSDI): A new criterion for the quantitative description of size distribution

Highlights

  • Quantitative description of particle size distribution (PSD).
  • Drawback of previous descriptive parameters of PSD.
  • Propose a new parameter named mono-size distribution index (MSDI).

Keywords

References

[1] M. Ji, H. Liu, X. Yang, Synthesis of monodisperse SiO2/P(DVB-SO3H)/SiO2/P(DVB-SO3H) tetra-layer polyelectrolyte microspheres and the corresponding hollow P(DVB-SO3H) polyelectrolyte microspheres with a shell-in-shell structure, Polym. Chem. 2 (2010) 148-156.
[2] P. Mikuška, L. Čapka, Z. Večeřa, Aerosol sampler for analysis of fine and ultrafine aerosols, Anal. Chim. Acta, 1020 (2018) 123-133.
[3] D.A. Japuntich, J.I.T. Stenhouse, B.Y.H. Liu, Conditions for monodispersity of heterogeneous condensation aerosols using dimensionless groups, J. Colloid Interf. Sci. 136 (1990) 393-400.
[4] C. Gao, X. Qi, Z. Zhang, S. Chen, B. Li, W. Huang, Fabrication of monodisperse precursor gel microspheres for hollow glass microspheres by combining the sol-microemulsion-gel process with a T-shaped microfluidic device, Int. J. Hydrogen Energ. 36 (2011) 9758-9766.
[5] W. Yu, C. Zhou, T. Inoue, A coalescence mechanism for the coarsening behavior of polymer blends during a quiescent annealing process. II. Polydispersed particle system, J. Polym. Sci. Pol. Phys. 38 (2000) 2390-2399.
[6] S.T. Ha, O.O. Park, Size control of highly monodisperse polystyrene particles by modified dispersion polymerization. J. Macromol. Res. 18 (2010) 935-943.
[7] V. Jain, P. Kare, D. Jain, R. Singh, Development and characterization of mucoadhesive nanosuspension of ciprofloxacin, Acta Pol. Pharm. 68 (2011) 273-278.
[8] B. Anilreddy, Preparation and characterization of iron oxide nanoparticles on disaccharide templates, Asian JPRHC, 1 (2009) 172-183.
[9] N. Tresilwised, P. Pithayanukul, C. Plank, Factors affecting sizes of magnetic particles formed by chemical co-precipitation. J. Pharm. Sci. 32 (2005) 71-76.
[10] K. Mehrabi, B. Nowack, Y.A.R. Dasilva, D.M. Mitrano, Improvements in nanoparticle tracking analysis to measure particle aggregation and mass distribution: A case study on engineered nanomaterial stability in incineration landfill leachates, Environ. Sci. Technol. 51 (2017) 5611-5621.
[11] J. Hou, H. Ci, P. Wang, C. Wang, B. Lv, L. Miao, G. You, Nanoparticle tracking analysis versus dynamic light scattering: Case study on the effect of Ca2+ and alginate on the aggregation of cerium oxide nanoparticles, J. Hazard. Mater. 360 (2018) 319-328.
[12] M.G. Rasteiro, A. Tomas, L. Ferreira, S. Figueiredo, PVC paste rheology: Study of process dependencies. J. Appl. Polym. Sci. 112 (2009) 2809-282.
[13] V.K. Langsi, B. A. Ashu-Arrah, N. Ward, J.D. Glennon, Synthesis and characterisation of non-bonded 1.7 μm thin-shell (TS1.7-100 nm) silica particles for the rapid separation and analysis of uric acid and creatinine in human urine by hydrophilic interaction chromatography, J. Chromatogr. A, 1506 (2017) 37-44.
[14] M. Velez1, Y. He1, D.E. Day, T.P. Schuman, K.V. Kilway, J.R. Melander, R.A. Weiler, B.D. Miller, E.L. Nalvarte, J.D. Eick, Processing of yttrium aluminosilicate (YAS) glasses for dental composites, Cerâmica, 57 (2011) 1-9.
[15] A. Tascón, Influence of particle size distribution skewness on dust explosibility, Powder Technol. 338 (2018) 438-445.
[16] M. Ghasemi, P. Alexandridis, M. Tsianou, Conversion of particle size distribution data from mass to number-based and its application to biomass processing, Biosyst. Eng. 176 (2018) 73-87.
[17] C.M. Torrecillas, G.W. Halbert, D.A. Lamprou, A novel methodology to study polymodal particle size distributions produced during continuous wet granulation, Int. J. Pharm. 519 (2017) 230-239.
Journal of Particle Science and Technology
Volume 5, Issue 2
August 2019
Pages 71-76

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History

  • Receive Date: 25 January 2019
  • Revise Date: 13 March 2019
  • Accept Date: 02 April 2019

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