Characterization Approach to Modified Glassy Carbon Electrode-Nanofilm System Within Multidimensional Scaling

Machado, J. A. Tenreiro; Băleanu, Dumitru; Dinç, Erdal; Solak, Alı Osman; Ekşi, Haslet; Güzel, Remziye

doi:10.1166/jctn.2011.1688

Cited by 6 publications

(2 citation statements)

References 1 publication

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“…In electrochemical nanointerface [15][16][17][18][19][20][21] based biosensors, linearity, a basic characteristic parameter, can be calibrated by knowing the enzyme kinetic parameter V max because it gives information about the saturation state. If the saturation state is attained at high substrate concentration, then its corresponding linear part will be high.…”

Section: Theorymentioning

confidence: 99%

Estimation of Michaelis-Meneten Constant and Maximum Rate of Reaction: A Nonlinear Approach

Nesakumar¹,

Sethuraman²,

Krishnan³

et al. 2014

j comput theor nanosci

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Precise estimation of Michaelis-Menten constant (K m and maximum rate of reaction (V max is very significant in studying enzyme inhibition as well as the catalytic efficiency of the immobilized enzyme in electrochemical nanointerface based biosensors. Generally linear regression models such as Lineweaver-Burk plot, Eadie-Hosftee plot, Eadie-Scatchard plot and Hanes-Woolf plot have been used to estimate enzyme kinetic parameters. But, the disadvantage of using linear regression plots is changing error statistics. As an alternative to linear regression models, three nonlinear regression models namely Gauss Newton plot, Chi Square plot and Levenberg-Marquardt fit (LVM) have been used, which fits the data by successive iterations. In this work, a sample data of lactate detecting electrochemical biosensor (Au/Nano-ZnO/LDH) has been considered for the precise estimation of K m and V max by employing nonlinear mathematical tools. Finally regression, residual, standard deviation, coefficient of variation, Chi Square, residual sum of squares and percent average relative error analyses are carried out on the adapted nonlinear mathematical models to choose optimized Michaelis-Menten equation.

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Section: Theorymentioning

confidence: 99%

Estimation of Michaelis-Meneten Constant and Maximum Rate of Reaction: A Nonlinear Approach

Nesakumar¹,

Sethuraman²,

Krishnan³

et al. 2014

j comput theor nanosci

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“…2 3 Due to the ability of potential interference by toxicants, 4 the possibility of inauspicious health effects in humans is commonly assessed by enzymatic biosensor. An enzymatic biosensor with nanointerface [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] evaluates the toxicity of harmful chemicals from the degree (or percentage) of inhibition (I%). 23 Since the degree of inhibition is related to the concentration of toxic chemical, it is possible to evaluate the degree of toxicity.…”

Section: Introductionmentioning

confidence: 99%

Extended Bio-Analytical Approach for the Determination of Potential Toxicants

Nesakumar¹,

Krishnan²,

Sethuraman³

et al. 2015

j comput theor nanosci

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In the view of difficulties in finding the recovery and inhibition of an immobilized enzyme from the degree of inhibition, an equation based upon the degree of inhibition has been developed by considering incubation time at different time intervals. In this work, data of an enzymatic kinetic reaction at different incubation time intervals were used to exemplify practicability of the proposed equation in the field of enzyme-inhibition based electrochemical biosensor. For validation purpose, the results obtained from the extended bio-analytical approach were compared to the degree of inhibition and the results were found to be satisfactory. Using this extended bio-analytical technique, the degree of toxicity of environmental toxicants can be determined.

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Multidimensional scaling analysis of fractional systems

Machado

2012

Computers & Mathematics with Applications

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Characterization Approach to Modified Glassy Carbon Electrode-Nanofilm System Within Multidimensional Scaling

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Cited by 6 publications

References 1 publication

Estimation of Michaelis-Meneten Constant and Maximum Rate of Reaction: A Nonlinear Approach

Estimation of Michaelis-Meneten Constant and Maximum Rate of Reaction: A Nonlinear Approach

Extended Bio-Analytical Approach for the Determination of Potential Toxicants

Multidimensional scaling analysis of fractional systems

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