A mathematical analysis using fractals for binding interactions of estrogen receptors to different ligands on biosensor surfaces

Butala, Harshala D.; Ramakrishnan, Anand; Sadana, Ajit

doi:10.1016/s0925-4005(02)00369-6

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…Hence, many researchers have been trying to develop a simpler and more sensitive biosensor system for chemical sensing. In biosensor systems for the determination of 17␤-estradiol, the human estrogen-receptor (hER) has been commonly used (Seifert et al, 1999;Butala et al, 2003;Wozei et al, 2006). These biosensors can detect the estrogenic chemicals including 17␤-estradiol sensitively, but the specificity was not good due to the affinity of estrogen-receptor to the other xenoendocrines.…”

Section: Introductionmentioning

confidence: 99%

Electrochemical detection of 17β-estradiol using DNA aptamer immobilized gold electrode chip

Kim

Jung

Matsuura

et al. 2007

Biosensors and Bioelectronics

245

129

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Section: Introductionmentioning

confidence: 99%

Electrochemical detection of 17β-estradiol using DNA aptamer immobilized gold electrode chip

Kim

Jung

Matsuura

et al. 2007

Biosensors and Bioelectronics

245

129

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“…The details are not repeated here with the exception that just the equations are given to permit an easier reading. These equations have been applied to other analyte‐receptor reactions occurring on biosensor surfaces (20, 21). Here we will attempt to apply these equations to the binding of glucose (14, 15), and uric acid, acetaminophen, and ascorbic acid (16).…”

Section: Theorymentioning

confidence: 99%

“…Furthermore, heterogeneities may also be present on the biosensor surface. As the receptors are immobilized on the surface, there is bound to be a degree of heterogeneity present on the SPR (or other) biosensor surface, and its effects on the binding and dissociation rate coefficients are very significant (20, 21). In no way are we indicating that the fractal analysis is better than any of the original analyses.…”

Section: Introductionmentioning

confidence: 99%

Detection of Glucose and Related Analytes by Biosensors: A Fractal Analysis

Doke

Sadana

2006

Biotechnol. Prog.

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A fractal analysis is used to model the binding and dissociation kinetics of connective tissue interstitial glucose, adipose tissue interstitial glucose, insulin, and other related analytes on biosensor surfaces. The analysis provides insights into diffusion-limited analyte-receptor reactions occurring on heterogeneous biosensor surfaces. Numerical values obtained for the binding and the dissociation rate coefficients are linked to the degree of heterogeneity or roughness (fractal dimension, Df) present on the biosensor chip surface. The binding and dissociation rate coefficients are sensitive to the degree of heterogeneity on the surface. For example, for the binding of plasma insulin, as the fractal dimension value increases by a factor of 2.47 from Df1 equal to 0.6827 to Df2 equal to 1.6852, the binding rate coefficient increases by a factor of 4.92 from k1 equal to 1.0232 to k2 equal to 5.0388. An increase in the degree of heterogeneity on the probe surface leads to an increase in the binding rate coefficient. A dual-fractal analysis is required to fit the binding kinetics in most of the cases presented. A single fractal analysis is adequate to describe the dissociation kinetics. Affinity (ratio of the binding to the dissociation rate coefficient) values are also presented. Interferents for glucose such as uric acid and ascorbic acid were also detected using glucose biosensors based on carbon nanotube (CNT) nanoelectrode ensembles (NEEs) (29) (Lin, Y.; Lu, F.; Tu, Y.; Ren, Z. Nano Lett. 2004, 4 (2), 191-195). Attempts are made to standardize biosensor properties in terms of diffusion characteristics on in vivo responsiveness.

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“…These methods mentioned above have their own limitations. For instance, the specificity of biological receptor and ELISA was generally compromised by the complexity of environmental matrices . The reagents used in these methods are very expensive in general, and cannot be reused, suggesting these biological assays are not quite suitable for the large‐scale detection of contaminated sites.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous determination of four trace estrogens in feces, leachate, tap and groundwater using solid–liquid extraction/auto solid‐phase extraction and high‐performance liquid chromatography with fluorescence detection

Liu

Shi

et al. 2015

J of Separation Science

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A simple and selective high-performance liquid chromatography method coupled with fluorescence detection was developed for the simultaneous measurement of trace levels of four estrogens (estrone, estradiol, estriol and 17α-ethynyl estradiol) in environmental matrices. For feces samples, solid-liquid extraction was applied with a 1:1 v/v mixture of acetonitrile and ethyl acetate as the extraction solvent. For liquid samples (e.g., leachate and groundwater), hydrophobic/lipophilic balanced automated solid-phase extraction disks were selected due to their high recoveries compared to conventional C18 disks. Chromatographic separations were performed on a reversed-phase C18 column gradient-eluted with a 45:55 v/v mixture of acetonitrile and water. The detection limits were down to 1.1 × 10(-2) (estrone), 4.11 × 10(-4) (estradiol), 5.2 × 10(-3) (estriol) and 7.18 × 10(-3) μg/L (17α-ethynyl estradiol) at excitation/emission wavelengths of 288/310 nm, with recoveries in the range of 96.9 ± 3.2-105.4 ± 3.2% (n = 3). The method was successfully applied to determine estrogens in feces and water samples collected at livestock farms and a major river in Northeast China. We observed relatively high abundance and widespread distribution of all four estrogens in our sample collections, implying the urgency for a comprehensive and intricate investigation of estrogenic fate and contamination in our researched area.

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A mathematical analysis using fractals for binding interactions of estrogen receptors to different ligands on biosensor surfaces

Cited by 18 publications

References 16 publications

Electrochemical detection of 17β-estradiol using DNA aptamer immobilized gold electrode chip

Electrochemical detection of 17β-estradiol using DNA aptamer immobilized gold electrode chip

Detection of Glucose and Related Analytes by Biosensors: A Fractal Analysis

Simultaneous determination of four trace estrogens in feces, leachate, tap and groundwater using solid–liquid extraction/auto solid‐phase extraction and high‐performance liquid chromatography with fluorescence detection

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