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dc.contributor.author
Soleimani, Shokoufeh  
dc.contributor.author
Arkan, Elham  
dc.contributor.author
Farshadnia, Tooraj  
dc.contributor.author
Mahnam, Zahra  
dc.contributor.author
Jalili, Faramarz  
dc.contributor.author
Goicoechea, Hector Casimiro  
dc.contributor.author
Jalalvand, Ali R.  
dc.date.available
2022-10-21T19:19:58Z  
dc.date.issued
2020-08  
dc.identifier.citation
Soleimani, Shokoufeh; Arkan, Elham; Farshadnia, Tooraj; Mahnam, Zahra; Jalili, Faramarz; et al.; The first attempt on fabrication of a nano-biosensing platform and exploiting first-order advantage from impedimetric data: application to simultaneous biosensing of doxorubicin, daunorubicin and idarubicin; Elsevier; Sensing and Bio-Sensing Research; 29; 8-2020; 1-8  
dc.identifier.issn
2214-1804  
dc.identifier.uri
http://hdl.handle.net/11336/174437  
dc.description.abstract
In this work, for the first time, we have developed a novel and very interesting electroanalytical methodology assisted by first-order multivariate calibration (MVC) for simultaneous determination of doxorubicin (DX), daunorubicin (DN) and idarubicin (ID) as three chemotherapeutic drugs at simulated physiological conditions. A sever overlapping was observed among signals of the three drugs which hindered us for simultaneous determination of them by conventional electroanalytical techniques. Therefore, we had to assist our method by chemometric approaches to develop a novel method for simultaneous determination of DX, DN and ID. Among the existing electroanalytical methods, electrochemical impedance spectroscopy (EIS) due to its high sensitivity was chosen. After individual calibration of the three drugs with the EIS data, a set of calibration samples was designed which was used to develop several first-order MVC models by partial least squares (PLS), continuum power regression (CPR), radial basis function-partial least squares (RBF-PLS), RBF-artificial neural network (RBF-ANN) and least squares-support vector machines (LS-SVM) as linear and non-linear chemometric algorithms. Then, performance of the developed MVC models in predicting concentrations of DX, DN and ID in synthetic samples was compared to choose the best model for the analysis of real samples. Our records confirmed more superiority of RBF-PLS algorithm than the other developed models which motivated us to choose it for the analysis of real samples. Fortunately, the results of the RBF-PLS in the analysis of real samples towards simultaneous determination DX, DN and ID was acceptable.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
DAUNORUBICIN  
dc.subject
DOXORUBICIN  
dc.subject
IDARUBICIN  
dc.subject
IMPEDIMETRY  
dc.subject
MULTIVARIATE CALIBRATION  
dc.subject
SIMULTANEOUS DETERMINATION  
dc.subject.classification
Química Analítica  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
The first attempt on fabrication of a nano-biosensing platform and exploiting first-order advantage from impedimetric data: application to simultaneous biosensing of doxorubicin, daunorubicin and idarubicin  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-09-22T15:09:48Z  
dc.journal.volume
29  
dc.journal.pagination
1-8  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Soleimani, Shokoufeh. Kermanshah University Of Medical Sciences; Irán  
dc.description.fil
Fil: Arkan, Elham. Kermanshah University Of Medical Sciences; Irán  
dc.description.fil
Fil: Farshadnia, Tooraj. Kermanshah University Of Medical Sciences; Irán  
dc.description.fil
Fil: Mahnam, Zahra. Kermanshah University Of Medical Sciences; Irán  
dc.description.fil
Fil: Jalili, Faramarz. Kermanshah University Of Medical Sciences; Irán  
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina  
dc.description.fil
Fil: Jalalvand, Ali R.. Kermanshah University Of Medical Sciences; Irán  
dc.journal.title
Sensing and Bio-Sensing Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S2214180420301276  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.sbsr.2020.100366