You are here

Home » Content

A Novel Method of Studying Colloidal Particles, on the Example of Lignin-Diesel Fuel System

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2017

Key Words:

Author Name
Abstract (2. Language): 
The knowledge of the colloidal particle structure and the nature of aggregation processes can hardly be overestimated due to the importance of the field: ceramics, pigments, catalysis, etc. In this paper photogrammetry-a method of computer vision, was applied for studying colloidal aggregates, based on lignin-diesel fuel dispersions. The suggestion about the layer structure of the obtained aggregates was proved with the methods of mathematical processing, by distinguishing the three main color intensities (Red, Magenta, Yellow), followed by stage-separation process. The number of layers on a par with the ratio of the components of the colloid system was calculated for a set of 25 images, resulting in obtaining similarity with micelle structures. The content of the dispersed phase 40.86±0.34 % correlates with capillary-saturated value obtained in previous studies. The dispersion phase content within the layers allowed correlating the experiment with the diffusion limited aggregation theory. The aggregation process was also noted on the SEM photographs.
Bookmark/Search this post with
FULL TEXT (PDF): 
PDF icon arastirmax-novel-method-studying-colloidal-particles-example-lignin-diesel-fuel-system.pdf
  • 4
102
111
  • English

REFERENCES

References: 

[1] Drury, S. A., & Drury, S. A. (2001). Image interpretation in geology
[2] Paine, D. P., & Kiser, J. D. (2003). Aerial photography and image interpretation. John Wiley & Sons.
[3] Giger M. L., Karssemeijer N., Schnabel J. A. Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer //Annual review of biomedical engineering. – 2013. – Т. 15. – С. 327-357.
[4] Di Mario, C., Görge, G., Peters, R., Kearney, P., Pinto, F., Hausmann, D & Erbel, R. (1998). Clinical application and image interpretation in intracoronary ultrasound. European heart journal, 19(2), 207-229
[5] Wyatt, C. C., & Pharoah, M. J. (1997). Imaging techniques and image interpretation for dental implant treatment. The International journal of prosthodontics, 11(5), 442-452.
[6] Stokes, D. J. (2003). Recent advances in electron imaging, image interpretation and applications: environmental scanning electron microscopy. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 361(1813), 2771-2787.
[7] Lin, D. T. (2010). Autonomous sub-image matching for two-dimensional electrophoresis gels using MaxRST algorithm. Image and Vision Computing,28(8), 1267-1279.
[8] Prakoonwit, S., & Benjamin, R. (2007). 3D surface point and wireframe reconstruction from multiview photographic images. Image and Vision Computing,25(9), 1509-1518.
[9] Semmlow, J. L. (2011). Biosignal and medical image processing. CRC press.
[10] Artyushkova, K., Pylypenko, S., Dowlapalli, M., & Atanassov, P. (2012). Use of digital image processing of microscopic images and multivariate analysis for quantitative correlation of morphology, activity and durability of electrocatalysts.RSC Advances, 2(10), 4304-4310.
[11] Olech, M., Komsta, Ł., Nowak, R., Cieśla, Ł., & Waksmundzka-Hajnos, M. (2012). Investigation of antiradical activity of plant material by thin-layer chromatography with image processing. Food Chemistry, 132(1), 549-553.
[12] Wu, D., & Sun, D. W. (2013). Colour measurements by computer vision for food quality control–A review. Trends in Food Science & Technology, 29(1), 5-20.
[13] Sonka, M., Hlavac, V., & Boyle, R. (2014). Image processing, analysis, and machine vision. Cengage Learning.
[14] Leon, K., Mery, D., Pedreschi, F., & Leon, J. (2006). Color measurement in L∗ a∗ b∗ units from RGB digital images. Food research international, 39(10), 1084-1091.
[15] Hong, G., Luo, M. R., & Rhodes, P. A. (2001). A study of digital camera colorimetric characterisation based on polynomial modelling
[16] Kralchevsky, P. A., & Denkov, N. D. (2001). Capillary forces and structuring in layers of colloid particles. Current Opinion in Colloid & Interface Science, 6(4), 383-401.
[17] Reznikov, I, Savitskaya, T. Structure and properties of lignin dispersions in petroleum products, Belarusian State University student conference. 2013
[18] Birdi, K. A. S. (Ed.). (2008). Handbook of surface and colloid chemistry. CRC Press
[19] Shchukin, E. D., Pertsov, A. V., & Amelina, E. A. (1982). Colloid chemistry
[20] Wang, G. & Chen, H. 2013. Fractionation of alkali-extracted lignin from steam-exploded stalk by gradient acid precipitation. Separation and Purification Technology, 105, 98-105
International Journal of Science and Engineering Investigations, Volume 6, Issue 63, April 2017 111
www.IJSEI.com Paper ID: 66317-15
ISSN: 2251-8843
[21] Norgren, M., Edlund, H., & Wågberg, L. (2002). Aggregation of lignin derivatives under alkaline conditions. Kinetics and aggregate structure. Langmuir, 18(7), 2859-2865
[22] Goring, D. A. I. In Lignin : Properties and Material; Glasser, W. G., Sarkanen, S., Eds.; ACS Symposium Series Vol. 397; American Chemical Society: Washington, DC, 1989; pp 2-10
[23] Hashim, M., & Thomas, P. I. (2012). Computational Analysis of Diffusion as a Stochastic System. Washington University in St. Louis Department of Physics, 27.

Thank you for copying data from http://www.arastirmax.com