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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editor: Gregory W. Faris
  • Vol. 5, Iss. 7 — Apr. 26, 2010

Fraction estimation of small, dense LDL using autocorrelation function of dynamic light scattering

Suchin Trirongjitmoah, Toshihiro Sakurai, Kazuya Iinaga, Hitoshi Chiba, and Koichi Shimizu  »View Author Affiliations

Optics Express, Vol. 18, Issue 6, pp. 6315-6326 (2010)

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Small, dense low-density lipoprotein (sdLDL) in total LDL is strongly related with the cardiovascular risk level. An optical technique using dynamic light scattering (DLS) measurement is useful for point-of-care testing of sdLDL. However, the sdLDL fraction estimated from the particle size distribution in DLS data is sensitive to noise and artifacts. Therefore, we derived analytical solutions in a closed form to estimate the fraction of scatterers using the autocorrelation function of scattered light from a polydisperse solution. The effect of the undesired large particles can be eliminated by the pre-processing of the autocorrelation function. The proposed technique was verified using latex standard particles and LDL solutions. Results suggest the feasibility of this technique to estimate the sdLDL fraction using optical scattering measurements.

© 2010 OSA

OCIS Codes
(170.1470) Medical optics and biotechnology : Blood or tissue constituent monitoring
(290.5850) Scattering : Scattering, particles

ToC Category:
Medical Optics and Biotechnology

Original Manuscript: November 30, 2009
Revised Manuscript: February 12, 2010
Manuscript Accepted: February 22, 2010
Published: March 12, 2010

Virtual Issues
Vol. 5, Iss. 7 Virtual Journal for Biomedical Optics

Suchin Trirongjitmoah, Toshihiro Sakurai, Kazuya Iinaga, Hitoshi Chiba, and Koichi Shimizu, "Fraction estimation of small, dense LDL using autocorrelation function of dynamic light scattering," Opt. Express 18, 6315-6326 (2010)

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  1. Y. Hirowatari, H. Yoshida, H. Kurosawa, K. I. Doumitu, and N. Tada, “Measurement of cholesterol of major serum lipoprotein classes by anion-exchange HPLC with perchlorate ion-containing eluent,” J. Lipid Res. 44(7), 1404–1412 (2003). [CrossRef] [PubMed]
  2. S. Akita, F. M. Sacks, L. P. Svetkey, P. R. Conlin, G. Kimura, and DASH-Sodium Trial Collaborative Research Group, “Effects of the Dietary Approaches to Stop Hypertension (DASH) diet on the pressure-natriuresis relationship,” Hypertension 42(1), 8–13 (2003). [CrossRef] [PubMed]
  3. F. M. Sacks and H. Campos, “Clinical review 163: Cardiovascular endocrinology: Low-density lipoprotein size and cardiovascular disease: a reappraisal,” J. Clin. Endocrinol. Metab. 88(10), 4525–4532 (2003). [CrossRef] [PubMed]
  4. J. B. German, J. T. Smilowitz, and A. M. Zivkovic, “Lipoproteins: When size really matters,” Curr. Opin. Colloid Interface Sci. 11(2–3), 171–183 (2006). [CrossRef] [PubMed]
  5. W. Ensign, N. Hill, and C. B. Heward, “Disparate LDL phenotypic classification among 4 different methods assessing LDL particle characteristics,” Clin. Chem. 52(9), 1722–1727 (2006). [CrossRef] [PubMed]
  6. M. Rizzo and K. Berneis, “Low-density lipoprotein size and cardiovascular risk assessment,” QJM 99(1), 1–14 (2005). [CrossRef] [PubMed]
  7. H. Wang, H. M. Wang, Q. H. Jin, H. Cong, G. S. Zhuang, J. L. Zhao, C. L. Sun, H. W. Song, and W. Wang, “Microchip-based small, dense low-density lipoproteins assay for coronary heart disease risk assessment,” Electrophoresis 29(9), 1932–1941 (2008). [CrossRef] [PubMed]
  8. H. Campos, E. Blijlevens, J. R. McNamara, J. M. Ordovas, B. M. Posner, P. W. Wilson, W. P. Castelli, and E. J. Schaefer, “LDL particle size distribution. Results from the Framingham Offspring Study,” Arterioscler. Thromb. 12(12), 1410–1419 (1992). [CrossRef] [PubMed]
  9. T. Hirano, Y. Ito, H. Saegusa, and G. Yoshino, “A novel and simple method for quantification of small, dense LDL,” J. Lipid Res. 44(11), 2193–2201 (2003). [CrossRef] [PubMed]
  10. F. Gonzalez, J. M. Saiz, F. Moreno, and P. J. Valle, “Application of a Laplace Transform Method to Binary-Mixtures of Spherical-Particles in Solution for Low Scattered Intensity,” J. Phys. D Appl. Phys. 25(3), 357–361 (1992). [CrossRef]
  11. J. R. Vega, L. M. Gugliotta, V. D. G. Gonzalez, and G. R. Meira, “Latex particle size distribution by dynamic light scattering: novel data processing for multiangle measurements,” J. Colloid Interface Sci. 261(1), 74–81 (2003). [CrossRef] [PubMed]
  12. C. B. Frantzen, L. Ingebrigtsen, M. Skar, and M. Brandl, “Assessing the accuracy of routine photon correlation spectroscopy analysis of heterogeneous size distributions,” AAPS PharmSciTech 4(3), 62 (2003). [CrossRef]
  13. M. Shibayama, T. Karino, and S. Okabe, “Distribution analyses of multi-modal dynamic light scattering data,” Polymer (Guildf.) 47(18), 6446–6456 (2006). [CrossRef]
  14. M. Schneider and T. F. McKenna, “Comparative study of methods for the measurement of particle size and size distribution of polymeric emulsions,” Part. Part. Syst. Char. 19(1), 28–37 (2002). [CrossRef]
  15. H. Ruf and B. J. Gould, “Size distributions of chylomicrons from human lymph from dynamic light scattering measurements,” Eur. Biophys. J. Biophy. 28(1), 1–11 (1998). [CrossRef]
  16. M. P. Cagigal, M. A. Rebolledo, and F. Moreno, “Determination of the radii and the concentration ratio in binary mixtures of spherical macromolecules from the measurement of n(2)(T),” Appl. Opt. 23(13), 2091–2096 (1984). [CrossRef] [PubMed]
  17. M. G. Rasteiro, C. C. Lemos, and A. Vasquez, “Nanoparticle characterization by PCS: The analysis of bimodal distributions,” Particul. Sci. Technol. 26(5), 413–437 (2008). [CrossRef]
  18. B. J. Berne, and R. Pecora, Dynamic light scattering: with applications to chemistry, biology, and physics, Dover ed. (Dover Publications, Mineola, N.Y., 2000).
  19. A. Flamberg and R. Pecora, “Dynamic Light-Scattering Study of Micelles in a High Ionic-Strength Solution,” J. Phys. Chem. 88(14), 3026–3033 (1984). [CrossRef]
  20. A. Lomakin, G. B. Benedek, and D. B. Teplow, “Monitoring protein assembly using quasielastic light scattering spectroscopy,” Methods Enzymol. 309, 429–459 (1999). [CrossRef] [PubMed]
  21. R. S. Stock and W. H. Ray, “Interpretation of photon correlation spectroscopy data: A comparison of analysis methods,” J. Polym. Sci., Polym. Phys. Ed. 23(7), 1393–1447 (1985). [CrossRef]
  22. P. A. Hassan and S. K. Kulshreshtha, “Modification to the cumulant analysis of polydispersity in quasielastic light scattering data,” J. Colloid Interface Sci. 300(2), 744–748 (2006). [CrossRef] [PubMed]
  23. A. Milat, MATLAB: an introduction with applications, 3rd ed. (Wiley Publications, N.Y., 2008).
  24. D. O’Neal, P. Harrip, G. Dragicevic, D. Rae, and J. D. Best, “A comparison of LDL size determination using gradient gel electrophoresis and light-scattering methods,” J. Lipid Res. 39(10), 2086–2090 (1998). [PubMed]
  25. J. A. Chouinard, A. Khalil, and P. Vermette, “Method of imaging low density lipoproteins by atomic force microscopy,” Microsc. Res. Tech. 70(10), 904–907 (2007). [CrossRef] [PubMed]
  26. V. M. Gun’ko, A. V. Klyueva, Y. N. Levchuk, and R. Leboda, “Photon correlation spectroscopy investigations of proteins,” Adv. Colloid Interface Sci. 105(1-3), 201–328 (2003). [CrossRef] [PubMed]

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