RU58841

Structure and dynamics of drug-carrier systems as studied by parelectric spectroscopy☆

T. Blaschke ⁎, L. Kankate, K.D. Kramer
Freie Universitat Berlin, Department of Pharmacology, Konigin-Luise-Str. 2-4, 14195 Berlin, Germany
Received 31 July 2006; accepted 24 April 2007
Available online 3 May 2007

Abstract

In the field of topical application without or with little systemic side-effects to reach anti-inflammatory or anti-androgeneous effects, nanoparticles as carriers for drugs as beta-methason-17-valerate, prednicarbate, prednisolone, RU 58841-myristate or cyproterone acetate have proven to enhance the transdermal delivery. This enhancement is closely connected to the interaction of the drug molecules with the lipid carrier systems, i.e. incorporation into the carriers or attachment to their surfaces. Whereas the techniques to measure the penetration profiles in the cutaneous region of the skin are well established in the case of fluorescence microscopy applied to thin slices of epidermis or being established in the case of multiphoton microscopy to monitor this fluorescence, the methods for the investigation of the type of interaction between drugs and carrier systems are relatively new: in the case of electron spin resonance the sample volumes have to be restricted to capillary sizes to avoid parelectric losses in the microwave cavities, in the case of the novel method of parelectric spectroscopy we are free from such restrictions. The application of the latter method will be presented here in detail concerning the underlying theory, the experimental aspects as well as the algorithms to extract the parameters of interest from the measured samples. As samples we restrict ourselves to solid lipid nanoparticles coated with different surfactants as carriers for drug-, dye- or spin label molecules.

© 2007 Elsevier B.V. All rights reserved.

Keywords: Parelectric spectroscopy; Lipid nanoparticles; Drug targeting; Topical application

Contents

1. Introduction 404

2. Theoretical background 404
2.1. Dependence on c 405
2.2. Dependence on T 405
3. Experimental set-up 405
3.1. The principle 405
3.2. The probes 406
4. Evaluation of the parameters 407
5. Results 408
6. Discussion 409
7. Outlook 410
Acknowledgement 410
References 410

☆ This review is part of the Advanced Drug Delivery Reviews theme issue on “Lipid Nanoparticles: Recent Advances”.

* Corresponding author.
E-mail address: [email protected] (T. Blaschke).

0169-409X/$ – see front matter © 2007 Elsevier B.V. All rights reserved.

1. Introduction

The penetration enhancement of drug-carrier systems depends markedly on the type of interaction between the drug molecules and the surfactant-coated lipid carriers [1–4]. The large variety of nanoparticular carrier systems, as solid lipid nanoparticles (SLN), nanostructured lipid carriers (NLC), nanoemulsions (NE) and microparticular systems (MS), is well described in the literature as to their formulation, stability, physical classification and their thermal behavior [5,6]. To get information about the structure and dynamics of such systems interacting with the drug molecules of interest, with dye molecules attached for studies of skin penetration enhancement using fluorescence microscopy in thin skin slices or with spin label molecules for electron spin resonance investigations, the

carriers is that such systems have been the main objects of interest in our cooperation between the pharmaceutical and the physics department in our Berlin universities.2. Theoretical backgroundThe exposure of a physical ensemble of permanent and induced electric dipole moments to an external radiofrequency electric field E(ωt) yields a polarization P(ωt). This answer depends on the frequency f = ω/2π of the driving field, on the density Δε of the dipoles and on the temperature of the system. N particles with dipole moment p in the volume V give the polarization P =(N/V) bpN. If we regard this answer P relative to the driving E, we can define the electric permittivity ε,

relatively novel method of parelectric spectroscopy (PS) has proven a versatile tool since some years. Although the basis of
this method, namely the description of the polarization answer ofe 1 1 ðPinduced þ PpermanentÞ ee0 E1 Ppermanent
l þ e E ; ð1Þpermanent electric dipole moments to an external radio- frequency electric field, is known since the famous work of P. Debye [7], the experimental methods could not meet the demands of a quick and reliable procedure in pharmacology before the development of frequency analyzers on the synthesizer basis about the year 2000. Many reviews about the possibilities and boundaries of the PS method are available to give insight into the experimental details and, especially, in the function of the open-ended coaxial probes to be used when performing measurements on liquid dispersions or emulsions and even when testing living material for medical diagnostic purposes [8–12]. In the field of pharmaceutical research the PS method is helpful to distinguish between a possible attachment of the guest molecules to the surface of the carrier system chosen and a possible incorporation of such molecules into the carriers. Moreover, the dependence of the two interesting parelectric parameters, the dipole density Δε(c) and the dipole mobility frequency f0(c) on the concentration c of the attached or incorporated molecules gives insight into the maximum possible loading of the carrier systems and yields – as a side-effect – the distribution of the carrier masses in the emulsion or dispersion under test. Finally, a temperature-dependent measurement of both parameters Δε(T ) and f0(T ) can give, via an Arrhenius plot, a good estimate of the activation energies of the drug-carrier systems: the knowledge of the latter behavior can serve as a basis for the development of models for a better understanding of the structure and dynamics of such systems. We present the
with ε0 as constant of permittivity in vacuum. We are allowed to omit the vector character of E and P as long as we are regarding isotropic sample material. The electric field tends to produce the maximum polarization P =(N/V) p; the thermal motion of the dipole-carrying particles tends to yield the most probable value
P = 0. This “competition” leads to the average value 〈p〉 ≪ p of the permanent dipoles,
pEhpi¼ p 3kT ð2Þ
with k =Boltzmann’s constant and T =(absolute) temperature. Thus, we find for the permittivity ε the relation ε = ε∞ +Δε with dipole densityN p2De ¼ V 3e kT : ð3Þ

As soon as E is applied as an ac field E(ωt)= E0 cos(ωt), the polarization answer changes to an ac answer P(ωt)= P′(ω) cos (ωt)+ P″(ω) sin(ωt). As a consequence, the permittivity consists of two parts, namely the parelectric dispersion ε′(f ) describing the answer in phase and the absorption ε″(f ) expressing the part shifted in phase by π/2:
e Vð f Þ ¼ e þ De ;1 þ f 2experimental set-up consisting of commercially available frequency analyzers and thermo-stabilized open-ended coaxial probes and the algorithms needed to extract in a quick manner the two parameters of interest from the frequency-dependent behavior of the parelectric dispersion curves ε′(f ) and
feWð f Þ ¼ De f0 :1 þ f 2ð4Þabsorption curves ε″(f ). In all cases presented here, we found as best combination of the frequencies to be applied the bands (0.01−10) MHz, (0.1−100) MHz and (1−1000) MHz depending on the molar masses of the systems under test. Each of this bands can be scanned in 200 logarithmically equidistant steps within a 20 s sampling time with resulting signal/noise ratios of 50−200. The reason why we restrict ourselves mainly to SLN systems as

These are the famous Debye equations with f0 =dipole mobility frequency.  1 presents both contributions in dependence of the variable frequency f.
Both parameters Δε and f0 depend on the concentration c of the guest molecules of mass mD in the systems with carriers of mass mC and on the temperature T of the dipole-carrying samples.curves as criteria to be discussed later, we convert our frequency abscissa to a logarithmic scale by the substitutionsx ¼ ln f ;MHzx ln f0 ;MHzð7Þr s x eð—xÞ:

e0x
Thus, we have to use Debye’s equations in their final form
e VðxÞ ¼ e þ De ;

1. The complex permittivity is shown in dependence on the logarithmic
frequency x =ln (f/MHz). As the water molecules in the emulsions or dispersions under test relax at 18 GHz, we can in any cases add its value εstat to the limiting value ε∞. Thus, the value ε∞ can serve to control the water content during long- term measuring series.

1 eð2ðx—x0ÞÞeðx—x0ÞeWðxÞ ¼ se þ 1 þ eð2ðx—x0 ÞÞ :ð8Þ 2.1. Dependence on c P. Debye gave an interpretation for the quantity f0, now known as the Einstein–Debye relation. He assumed the dipole- carrying molecules as spheres of radius r which suffer a friction when following the electric ac field, described by the (shear) viscosity η

To extract the four parameters ε8, s(σ), Δε and f0(x0) we
have to find four equations containing these quantities. We find them taking the four integrals D1 for the first 100 values of the dispersion ε′(x) and D2 for the higher 100 values as well as A1 for the first 100 values of the absorption ε″(x) and A2 for the higher 100 values — see  2. As the integrals over the
theoretical curves (6) can be solved to give analytically closed forms, we can calculate the denominator D(x0, Δε)= D1 − D2 thus eliminating ε∞ and calculate the numerator N(x0, Δε)= 103/2(A2 − A1) thus getting eliminating s(σ) (the factor 103/2
kT0 8p2r3g 0 mC1þ 100cmD: ð5Þholds only for 3 orders of magnitude of the frequency span

used). The quotient Q(x0)= N(x0, Δε)/ D(x0, Δε) is free from
Δε and the function Q = Q(x0) can easily be converted into its
Here, we have converted the sphere volume V = 4/3πr3 to the sphere mass using the density ρ = m/V. This is one of the equations necessary for the understanding of the function f0 = f0(c).

2.2. Dependence on T

Following the “theory of rate processes” [13] we can express the mobility f0(T) by the necessity to force neighboring particles to jump over potential barriers of energy height A when the dipole-carrying molecules have to follow the electric field. The Arrhenius law for this process has to be written in the form
form x0 = x0(Q) which, as an unambiguous relation, yields the desired value for the mobility x0. Going back the above steps give the values for the density Δε and ε∞, s(σ).3. Experimental set-up 3.1. The principle A frequency analyzer (=transmitter + receiver) feeds an electromagnetic wave into an open-ended coaxial cable. Thef ¼ f ⁎eð—AÞ; ð6Þ

with A =activation energy and R =gas constant. The fitting parameter f ⁎ is not of interest as we only have to extract the
quantity A from the plot ln ( f0) vs. 1/T yielding lines with negative slope − A/R.
How can we find the parameters Δε and f0 from the
measured values ε′( f ) and ε″( f )? Not of high relevance for measurements on pharmaceutical samples but as soon as we investigate biological samples in vitro or in vivo is the knowledge of a non-zero electrical conductivity σ. This quantity has to be taken into account in the absorptive part as an additive term…+ σ/ε0ω. In order to have symmetric functions and in order to be able to calculate integrals over the measured

 2. For the evaluation of the four parelectric parameters of interest, Δε, f0 (x0), ε∞ and s(σ) we have to find four equations: these are given by the four partial integrals D1, D2 under the dispersion curve and A1, A2 under the

absorption curve, respectively.areas of the cut inner and outer connector form a condenser the capacity of which depends on the parelectric behavior of the sample in contact with this ‘probe’. The wave reflected at this transition is analyzed as to its amplitude and phase thus giving the imaginary and the real part of the complex reflection coefficient

q ZðeÞ— Z0 ; 9
ZðeÞþ Z0
with Z0 = (real) impedance of the coaxial cable. The complex impedance of the condenser filled with the sample of complex permittivity ε = ε′ − iε″ is given by the definition

 4. In the case of an open-ended coaxial line with cut inner and outer conductor we have a far smaller sample volume as compared to the geometry used in  3. The advantage is a high spatial resolution as needed for measurements on skin slices or living skin.Z ixðe V— ieWÞC0; ð10Þhead is well suited to measure liquid samples as emulsions or dispersions of the drug-carrier systems.

3.2. The probes
with C0 = capacity of the empty condenser. After calibration with substances of well-known values for ε′, s(σ) and Δε this set-up is able to scan the pre-chosen frequency bands
with the possibility to repeat each run n times, thus giving an improvement of the signal/noise ratio by a factor of pn. Two
different measuring stations consist of an analyzer Hewlett- Packard type HP 8752 C+ notebook Compaq with frequency region (0.3−1300)MHz and analyzer Rohde and Schwarz
type ZVR+ notebook Dell with frequency region (0.01−
4000) MHz. In both stations the notebooks are responsible
for the steering of the pre-chosen frequencies – for most purposes three orders of magnitude scanned in 200 logarithmically equidistant steps – and for the extraction of the parameters of interest as outlined in 2. The block scheme of such a set-up is given in  3: here, the probe The cut inner and outer conductors represent the condenser in contact with the material under test, in the case of a probe with 6 mm outer diameter, the capacity of the empty probe has a value of 0.03 pF, approximately. Such probes are necessary when the surface of skin or (using endoscopic methods) of the vocal cord is to be inspected. The calculated distribution of the electric field shows a rather steep decrease of E (r, z) with distance r from the probe axis and with the depth z in the skin — see  4. Although the extremely small capacity causes little changes in the reflection coefficient ρ, the small volume with non-zero electric field yields a high spatial resolution.

In the case of liquid samples of relatively low dipole den- sity values Δε we had to switch to probe heads as depicted in  3: here, the capacity of the empty condenser is 0.6 pF,

3. The experimental set-up as given above can guarantee a high long-term stability as to the power level of the analyzer as well as to the thermostat system, both after a warm-up time of at least half an hour.

This relation at least fulfills the demands of a double normalization M0 = π/2 and M1 = 0, where the moments Mk are defined as M x¼þl xkFW x dx. To simulate asymmetric answers of F′(x) and F″(x), The Davidson–Cole equation [17]
takes into account a possible change in activation energies proposing the forme e Deð1 þ ixsÞwith 0 b b b 1: ð12Þ

 5. This typical example of a measurement on SLN nanoparticles of approximately 200 nm diameter with cyproterone acetate as drug is the result of an overall scanning time of 20 s. The increase in signal/noise ratio with increasing frequency is caused by the sampling principle of the analyzer.approximately, and the increase in signal/noise ratio is a factor of 20 compared to the short cut open-ended probes. Moreover, the temperature stabilization to 0.2 °C is much easier to handle using the new set-up by forcing the temperature gradient between the crossing point of the coaxial cable with the closed- flow water pipe and the output connector of the analyzer. A typical experimental result from a formulation of a drug-carrier system with water content using the new set-up is shown in  5. To document the improvement we compare this result to a measurement using the ancient 0.03 pF probe (see . 6). Here, we had to use the flat-ended geometry to guarantee the contact with staples of phospholipid bilayers [14]. This example was, by the way, the first case where we had to use an asymmetric distribution function [15] to understand the This relation is characterized by M0 = π/2 but the condition M1 = 0 (=preservation of the center of gravity of F″(x)) can only be fulfilled by replacing ωτ by ωτ/β 2. The drawback of both proposals is that no conclusions can be drawn from the parameters α or β to the form of the underlying distributions. We, therefore, entered the field of explanation of such distorted Debyean curves by the assumption of a distribution function G (x, x0, ΔxG) of half-width ΔxG normalized by M0[G(x0)] = 1 and M1[G(x0)] = 0. In the cases of a distribution of masses of the dipole-carrying molecules (measured in the pharmaceutical analysis as polydispersity value PI) we have to assume symmetric functions, i.e. a rectangular, Gaussian or pseudo- Debyean distribution. As soon as we have asymmetrical answers ε′(x), ε″(x) we have to use asymmetric distributions,

for instance a falling exponential function e(− x), x ≥ x⁎ [18,19].
A short outline of the procedure starts from the normalized
Debyean functions F′(x0), F″(x0). The weights G(x, x0, ΔxG) then give the envelop functions H′(x), H″(x) via the folding integrals
Z xo¼þl

4. Evaluation of the parameters
Here, H′(x), H″(x) are the measured functions from which we can calculate the broadened half-width ΔxH =ΔxH (ΔxG) NΔxF,the maximum H″(x = 0) = H″max(ΔxG) b F″ or the Δx -depen-The algorithm presented following Eq. (8) gives within seconds the two parameters of interest, namely the dipole density Δε and the dipole mobility f0/MHz. As long as the density extracted from the dispersion values ε′( f ) and from the absorption values ε″( f ) are equal, we are sure to have one distinct mobility f0. In this case, a further proopf ffiffiffifor this max Gdent change in the slope of H′(x) at the point of inflection.
6 gives an example, where two contributions had to be separated, caused by the dipoles of phospholipids headgroups normalized function F″(x) =(ε″(x) − ε∞)/ Δε as well as the correct slope − 1/2 at the point of inflection of the normalized function F′(x)=(ε″(x) − se(− x))/ Δε. Any deviation from these criteria yields distorted curves as to the maximum and the half-
width of F″(x) and as to the slope at the point of inflection of F′(x). The cause is a distribution in mass and/or activation energy of the dipole-carrying molecules. This point has thoroughly been treated in the literature: the Cole–Cole formula
[16] changes the purely Debyean behavior as given in Eq. (8) to give the parameter-dependent relation Δε

 6. In this example, phospholipid DOPC with hydration water coating the headgroup electric dipole moment, we consequently have two contributions. Whereas the headgroup answer at 50 MHz follows a Debyean relation, the e — elDe¼ 1 þ ðiðxsÞ1—awith 0 b a b 1: ð11Þhydration water response at 350 MHz is curves distorted by an asymmetric distribution of the activation energies governing the mobility of the water molecules.leading to a purely Debyean curve and caused by the water dipole in the hydration shell surrounding these heads, the latter being a distorted curve explained by a weighting function G(x, x0, ΔxG) (=falling exponential) with half-width ΔxG ≈ 0.35 [14]. The physical justification for the existence of such an asymmetric

distribution was given in the literature as a result of a Monte Carlo simulation of the water molecules in such a hydration shell [15].

5. Results

In cooperation with groups of our university working in the field of pharmacology and embedded in common projects we have been measuring emulsions and dispersions, mainly with solid lipid nanoparticles as carriers (Compritol, Precirol), with different surfactants (Poloxamer, Polysorbate) and with a whole spectrum of molecules attached to the surface or incorporated into the bulk of the surfactant-clad carriers, such as Nile red for fluorescent measurements to follow, with spin labels such as Cholestanő to perform ESR studies and with different drug molecules such as BMV, RUM, CPA, PC and PD which are fully given in . 7, 8, and 9.
To understand these different results, we had to propose a model to explain why for some data giving the values of Δε(c) and f0(c) the dependence on the concentration c of the drugs, dyes or spin labels follows an almost linear dependence in other cases – connected with best penetration enhancement in the skin – showing a pronounced parabola-like curve. The most astonishing example for the need of a model for such different results is the

7. The polarization answer of RU-58841-myristate shows a pronounced deviation from the concentration dependence as proposed by the Einstein– Debye relation. The assumption of an attachment of the drug molecules to the surface of the carrier–surfactant system is verified by a large penetration enhancement in human skin. The values for both f0(c) and Δε(c) at c = 0 and c = 0.15% are almost identical: this has to be interpreted as a maximum number of RUM-molecules on the carrier surface is reached at c = 0.15%.

 8. Prednicarbate as drug molecules on the SLN Precirol as carrier shows a wide range of the concentration axis for the parabolic behavior for both f0(c) and Δε(c). As compared to the behavior of RUM ( 7) we have to assume the drug particles to be attached with the maximum number of drug molecules reached at approximately 0.30% concentration.

9. In the case of prednisolone as drug we have to assume a total incorporation of the guests in the bulk of the SLN coated with the surfactant layer: with its slightly falling curve f0(c) obeys the Einstein–Debye relation whereas Δε(c) is slightly increasing caused by the additional dipole moment of the carrier plus concentration-dependent number of the prednisolone molecules. This interpretation is supported by a much smaller skin penetration enhancement of the system.

 10. Betamethasone-17-valerate (BMV) is the drug with the minimum number of molecules to find free sites on the surface of the carrier–surfactant system. To verify this, measurements have been carried out extending the concentration range beyond the value c = 0.10%: the surplus BMV molecules have been found to form crystallites in the dispersion that can be observed by vis microscopy.concentration-dependent behavior of a dispersion of poloxamer clad compritol carrier with betamethasone-17-valerate as drug — see
6. Discussion

As long as the drug-, dye- or spin label molecules with concentration c just add their masses mD to the mass mC of the dipole-carrying SLN particle, the mobility f0(c) should follow the Debye–Einstein relation Eq. (5) resulting in a linear dependence. The same holds for the parameter Δε(c), which after Eq. (3) is proportional to the particle density N/V and proportional to p2. Here, the linear dependence can be a line with its slope depending on the guest molecules’ dipole moment and on its direction relative to the carrier dipole — enhancing or reducing it. As soon as the guest molecules are attached to the surface of the carrier, a second effect enters the discussion: the surrounding of the tumbling complex has to obey the theory of rate processes [13], which connects the activation energy needed to the tumbling frequency f0 by an Arrhenius law, Eq. (6). This model as described in detail [1] needs a maximum activation energy for zero drug concentration and for its maximum possible value; in between these limiting cases, the adjacent particles find places in the wholes between the guest molecules thus needing less activation energy when forced to jump.

On the basis of this model (for the behavior of Δε(c) as result of a similar idea) the attachment of the guest molecules leads to the concentration dependent maximum of the parameter f0(c). In the above underlined case as depicted in  10 the maximum possible concentration for attached BMV molecules is obviously c = 0.10% — all additional molecules up to c = 0.30% are seen as crystallites using a vis microscopy inspection. The outline of the proposed model
This model should explain that in the case of  we find the best attachment on the carrier surface connected to the best

11. This presentation gives the logic of the model taking into account the theory of rate processes. Whereas the curves f0(c) obey either the Einstein–Debye relation or pass a maximum value, the curves Δε(c) depend – in the case of incorporation as well as in the case of attachment – on the dipole moment of the drug molecules.penetration and permeation enhancement in the skin down to the situation as given in . 9 pure incorporation in the carrier bulk and subsequently smaller skin permeation.

7. Outlook

The parelectric spectroscopy is well suited to study the structure and dynamics of dipole-carrying systems in extremely small volumes as found in skin penetration experiments or in the medical diagnosis of changes of parts of the outer or inner surfaces of patients. In this case we have to use probes which sense little volumes with worse signal/noise ratios as in the cases of emulsions or dispersions of drug-carrier systems. In the field of skin measurements we can, however, learn from the situation of NMR tomography, that the changes between ‘normal’ and ‘anormal’ amount to a factor of 2…3. The situation is far better when we can, in field of samples of pharmacological interest, use volumes as depicted in the Experimental set-up section: here, we have approximately 20 times better relative errors but have to find small changes in both Δε(c) and f0(c) in dependence on the concentration c of the drug-, dye- or spin label molecules attached to or incorporated in the SLN carrier systems. The interpretation cannot be restricted to purely physical arguments; the aim of any development in this relatively new field of dermal application with topical instead of systemic effects has to take into account the results of skin penetration measurements as well RU58841

Acknowledgement

We are gratefully indebted to the Deutsche Forschungsge- meinschaft for financing the Project FG 463 and to the Bundesministerium für Forschung und Technologie for financ- ing the Project “NanoDerm-TS”. All samples used have been prepared in the Department for Pharmacy of our university and we are grateful for the support of our colleagues Chié Nakamura, Peggy Schlupp and Jana Stecova as well as Christian Braem and Simone Lombardi-Borgia.

References

[1] R. Sivaramakrishnan, C. Nakamura, W. Mehnert, H.C. Korting, K. Kramer,
M. Schafer-Korting, Glucocorticoid entrapment into lipid carriers—
characterisation by parelectric spectroscopy and influence on dermal uptake, J. Control. Release 97 (3) (2004) 493–502.
[2] U. Münster, C. Nakamura, A. Haberland, K. Jores, W. Mehnert, S. Rum- mel, M. Schaller, H. Korting, C. Zouboulis, U. Blume-Peytavi, M. Schäfer- Korting, Ru 58841-mystrate—prodrug development for topical treatment of acne and androgenetic alopecia, Pharmazie 60 (2005) 8–12.
[3] S.L. Borgia, M. Regehly, R. Sivaramakrishnan, W. Mehnert, H.C. Korting,
K. Danker, B. Roder, K.D. Kramer, M. Schafer-Korting, Lipid nanoparticles for skin penetration enhancement-correlation to drug localization within the particle matrix as determined by fluorescence and parelectric spectroscopy, J. Control. Release 110 (1) (2005) 151–163.
[4] J. Stecova, W. Mehnert, T. Blaschke, B. Kleuser, R. Sivaramakrishnan, C. Zouboulis, H. Seltmann, H. Korting, K. Kramer, M. Schäfer-Korting, Cyproterone acetate loading to lipid nonaparticles for topical acne treatment: skin uptake and pharmacological effects, Pharmaceutical Research 24 (5) (2007) 991–1000.
[5] W. Mehnert, K. Mader, Solid lipid nanoparticles: production, character- ization and applications, Adv. Drug Deliv. Rev. 47 (2–3) (2001) 165–196.
[6] K. Jores, W. Mehnert, K. Mäder, Physicochemical investigations on solid lipid nanoparticles and on oil-loaded solid lipid nanoparticles: a nuclear magnetic resonance and electron spin resonance study, Pharm. Res. 20 (8) (2003) 1274–1283.
[7] P. Debye, Polare Molekeln, S. Hirzel, Leipzig, 1930.
[8] D. Craig, Dielectric Analysis of Pharmaceutical Systems, Taylor and Francis, London, 2001.
[9] K. Asami, Characterization of heterogeneous systems by dielectric spectroscopy, Prog. Polym. Sci. 27 (2002) 1617–1659.
[10] A. Schönhals, F. Kremer, Broadband Dielectric Spectroscopy, Springer, Berlin, 2003.
[11] K. Mahlstedt, T. Blaschke, K. Kramer, M. Gross, Parelektrische spektroskopie zur nichtinvasiven diagnostik von larynxgewebe, Biomed. Tech. 47 (2002) 70–75.
[12] T. Blaschke, R. Sivaramakrischnan, M. Gross, K. Kramer, Organ mapping using parelectric spectroscopy, Phys. Med. Biol. 51 (2006) 1623–1631.
[13] S. Glasstone, K.J. Laidler, H. Eyring, The Theory of Rate Processes, McGraw-Hill, New York, 1941.
[14] B. Klösgen, C. Reichle, S. Kohlsmann, K. Kramer, Dielectric spectroscopy as a sensor of headgroup mobility and hydration, Biophys. J. 71 (1996) 3251–3260.
[15] H. Frischleder, G. Peinel, Quantum-chemical and statistical calculations on phospholipids, Chem. and Phys. of Lipids 30 (1982) 121–158.
[16] K. Cole, R. Cole, Dispersion and absorption in dielectrics, J. Chem. Phys. 9 (1941) 341–351.
[17] D. Davidson, R. Cole, Dielectric relaxation in glycerol, propylene glycol and n-propanol, J. Chem. Phys. 19 (1951) 1484–1490.
[18] M. Brecht, B. Kloesgen, C. Reichle, K. Kramer, Distribution functions in the description of relaxation phenomena, Mol. Phys. 96 (1999) 149–160.
[19] R. Sivaramakrishnan, L. Kankate, H. Niehus, K. Kramer, Parelectric spectroscopy of drug-carrier systems—distribution of carrier masses or activation, Biophys. Chem. 114 (2003) 221–228.