Glucose and Mannitol Diffusion in Human Dura Mater

Bashkatov, Alexey N.; Genina, Elina A.; Sinichkin, Yuri P.; Kochubey, Vyacheslav I.; Lakodina, Nina A.; Tuchin, Valery V.

doi:10.1016/s0006-3495(03)74750-x

Cited by 148 publications

(102 citation statements)

References 49 publications

(75 reference statements)

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“…The studies of tissue scattering kinetics under the penetration of immersion agents allowed the development of techniques for assessing the diffusion coefficients and permeability [35,43,47,[88][89][90][91][92][93][94]. Using these techniques, the diffusion rates of glucose and other medicinal preparations and immersion fluids were determined for the tissues of eye [91][92][93][94][95][96] [118][119][120][121][122]: dehydration of tissue components, partial replacement of interstitial fluid with the immersion agent, and structure modification or dissociation of collagen.…”

Section: Immersion Clearingmentioning

confidence: 99%

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Genina

Bashkatov

Sinichkin

et al. 2015

JBPE

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Abstract.A review of specific features and methods of optical clearing and related interaction of light with tissues is presented. Physical and molecular mechanisms of immersion, compression, and photodynamic/photothermal optical clearing of some fibrous and cellular tissues are discussed. The possibility of efficient control of the tissue optical properties, particularly, the reduction of light scattering in tissues is demonstrated, which facilitates the increased efficiency of various optical visualisation methods (optical biopsy) used in medical purposes. © 2015 Samara State Aerospace University (SSAU).Keywords: tissue, optical clearing, optical diagnostics, imaging. 1, 404-413 (1997). 5. C. L. Smithpeter, A. K. Dunn, A. J. Welch, and R. Richards-Kortum, "Penetration depth limits of in vivo confocal reflectance imaging," Appl. Opt. 37, 2749Opt. 37, -2754Opt. 37, (1998. 6. V. V. Tuchin, L. V. Wang, and D. A. Zimnyakov, Optical Polarization in Biomedical Applications, SpringerVerlag, New York, NY, USA (2006). 7. R. Drezek, A. Dunn, and R. Richards-Kortum, "Light scattering from cells: finite-difference time-domain simulations and goniometric measurements," Appl. Opt. 38(16), 3651-3661 (1999). 8. K. Sokolov, R. Drezek, K. Gossagee, and R. Richards-Kortum, "Reflectance spectroscopy with polarized light:is it sensitive to cellular and nuclear morphology," Opt. Express 5, 302-317 (1999). 9. D. W. Leonard, and K. M. Meek, "Refractive indices of the collagen fibrils and extrafibrillar material of the corneal stroma," Biophysical J. 72, 1382-1387 (1997). 10. A. G. Borovoi, E. I. Naats, and U. G. Oppel, "Scattering of light by a red blood cell," J. Biomed. Opt. 3, 364-372 (1998). 11. A. N. Yaroslavsky, A. V. Priezzhev, J. Rodriguez, I. V. Yaroslavsky, and H. Battarbee, "Optics of blood,"Chap. 2 in Handbook of Optical Biomedical Diagnostics, V. V. Tuchin, Ed., pp. 169-216, PM107 SPIE Press, Bellingham, WA, USA (2002). 12. G. Mazarevica, T. Freivalds, and A. Jurka, "Properties of erythrocyte light refraction in diabetic patients," J.Biomed. Opt. 7, 244-247 (2002). 13. M. Friebel, and M. Meinke, "Model function to calculate the refractive index of native hemoglobin in the wavelength range of 250-1100 nm dependent on concentration," Appl. Opt. 45(12), 2838-2842 (2006). Appl. Opt. 35(19), 3413-3420 (1996). 34. D. Zhu, J. Wang, Z. Zhi, X. Wen, and Q. Luo, "Imaging dermal blood flow through the intact rat skin with an optical clearing method," J. Biomed. Opt. 15, 026008 (2010 241. K. König, G. Flemming, and R. Hibst, "Laser-induced autofluorescence spectroscopy of dental caries lesion," Cell. Mol. Biol. 44, 1293-1300. 242. E. G. Borisova, T. T. Uzunov, and L. A. Avramov, "Early differentiation between caries and tooth demineralization using laser-induced autofluorescence spectroscopy," Lasers Surg. Med. 34, 249-253 (2004 -20(12), 1512-1516 (1984). 245. K. Konig, H. Schneckenburger, and R. Hibst, "Time-gated in vivo autofluorescence imaging of dental caries,"Cell. Mol. Biol. 45, 233-239 (1999). 246. E. Borisova, P. Tr...

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Section: Immersion Clearingmentioning

confidence: 99%

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Genina

Bashkatov

Sinichkin

et al. 2015

JBPE

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“…Optical clearing of tissues induces tissue dehydration and refractive index matching by agent inclusion in the interstitial space of the tissue [3]. By placing an OCA in the interstitial space of the tissue and reducing the water content, the refractive index difference between the scatterers and the interstitial presented with results for the diffusion time for some OCAs such as dimethyl sulfoxide [17], glucose [18][19][20], mannitol [18], sucrose [21], glycerol [22], lactose and fructose [21] in different biological tissues and phantoms. A study that was recently published provided results for glucose diffusion permeability in normal and cancerous oesophageal tissues [23].…”

Section: Introductionmentioning

confidence: 99%

The characteristic time of glucose diffusion measured for muscle tissue at optical clearing

et al. 2013

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The study of agent diffusion in biological tissues is very important to understand and characterize the optical clearing effects and mechanisms involved: tissue dehydration and refractive index matching. From measurements made to study the optical clearing, it is obvious that light scattering is reduced and that the optical properties of the tissue are controlled in the process. On the other hand, optical measurements do not allow direct determination of the diffusion properties of the agent in the tissue and some calculations are necessary to estimate those properties. This fact is imposed by the occurrence of two fluxes at optical clearing: water typically directed out of and agent directed into the tissue. When the water content in the immersion solution is approximately the same as the free water content of the tissue, a balance is established for water and the agent flux dominates. To prove this concept experimentally, we have measured the collimated transmittance of skeletal muscle samples under treatment with aqueous solutions containing different concentrations of glucose. After estimating the mean diffusion time values for each of the treatments we have represented those values as a function of glucose concentration in solution. Such a representation presents a maximum diffusion time for a water content in solution equal to the tissue free water content. Such a maximum represents the real diffusion time of glucose in the muscle and with this value we could calculate the corresponding diffusion coefficient.

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“…This method presents some advantages over others due to its capability to measure concentration in situ without interrupting the process as well as the simple post processing work thereafter. As such, the method has been used since in the early 1990s up until recently (Maier et al 1994, Chance et al 1995, Liu et al 1996, Tuchin et al 1997, Wang 2000, Vargas et al 2001, Yao et al 2002, Bashkatov et al 2003, Zhang et al 2013a,b, Trichet et al 2014, Ullah et al 2014, Pleitez et al 2015.…”

Section: Refractive Index Methodsmentioning

confidence: 99%

“…Numerous glucose diffusion studies have been reported for a vast number of applications ranging from TE (Hannoun and Stephanopoulos 1986, Weng et al 2005, Rong et al 2006, Papenburg et al 2007, Jin et al 2010, Podichetty et al 2014, diabetes management (Maier et al 1994, Wang and Musameh 2003, Boss et al 2012, modern laser medicine (Chance et al 1995, Liu et al 1996, Tuchin et al 1997, Wang 2000, Vargas et al 2001, Yao et al 2002, Bashkatov et al 2003, pharmaceutics (Andersson et al 1997), chemical engineering, filtration (Yaroshchuk et al 2011, Adams et al 2013), oil and fat industry (Miyagi et al 2012), and water desalination (Lonsdale et al 1965, Sherwood et al 1967. A review of these studies suggests that a number of different techniques could be applied to measure glucose concentration or diffusivity as discussed below.…”

Section: Measurements Of Glucose Concentration or Diffusivitymentioning

confidence: 99%

Glucose diffusion in tissue engineering membranes and scaffolds

Suhaimi

Das

2016

Reviews in Chemical Engineering

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Tissue engineering has evolved into an exciting area of research due to its potential in regenerative medicine. The shortage of organ donors as well as incompatibility between patient and donor pose an alarming concern. This has resulted in an interest in regenerative therapy where the importance of understanding the transport properties of critical nutrients such as glucose in numerous tissue engineering membranes and scaffolds is crucial. This is due to its dependency on successful tissue growth as a measure of potential cure for health issues that cannot be healed using traditional medical treatments. In this regard, the diffusion of glucose in membranes and scaffolds that act as templates to support cell growth must be well grasped. Keeping this in mind, this review paper aims to discuss the glucose diffusivity of these materials. The paper reviews four interconnected issues, namely, (i) the glucose diffusion in tissue engineering materials, (ii) porosity and tortuosity of these materials, (iii) the relationship between microstructure of the material and diffusion, and (iv) estimation of glucose diffusivities in liquids, which determine the effective diffusivities in the porous membranes or scaffolds. It is anticipated that the review paper would help improve the understanding of the transport properties of glucose in membranes and scaffolds used in tissue engineering applications.

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Glucose and Mannitol Diffusion in Human Dura Mater

Cited by 148 publications

References 49 publications

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

Optical clearing of biological tissues: prospects of application in medical diagnostics and phototherapy

The characteristic time of glucose diffusion measured for muscle tissue at optical clearing

Glucose diffusion in tissue engineering membranes and scaffolds

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