Application of silver nanoparticles and principal component-artificial neural network models for simultaneous determination of levodopa and benserazide hydrochloride by a kinetic spectrophotometric method

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy

Volumn 82, Issue 1, 2011, Pages 25-30

  Tashkhourian, J ^a   Hormozi Nezhad, M R ^b   Khodaveisi, J ^c  

^a SHIRAZ UNIVERSITY   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

^c PERSIAN GULF UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Benserazide hydrochloride; Kinetic methods; Levodopa; Silver nanoparticles

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BENSERAZIDE HYDROCHLORIDE; KINETIC METHODS; LEVODOPA; SILVER NANOPARTICLES;

DATA FLOW ANALYSIS; KINETICS; NANOPARTICLES; PRINCIPAL COMPONENT ANALYSIS; SILVER; SPECTROPHOTOMETERS; SPECTROPHOTOMETRY; SURFACE PLASMON RESONANCE;

NEURAL NETWORKS;

BENSERAZIDE; CHLORIDE; LEVODOPA; METAL NANOPARTICLE; SILVER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CHEMICAL MODEL; CHEMISTRY; COMPUTER PROGRAM; KINETICS; METHODOLOGY; NANOTECHNOLOGY; PH; PRINCIPAL COMPONENT ANALYSIS;

BENSERAZIDE; CALIBRATION; CHEMISTRY; CHLORIDES; HYDROGEN-ION CONCENTRATION; KINETICS; LEVODOPA; METAL NANOPARTICLES; MODELS, CHEMICAL; NANOTECHNOLOGY; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; SILVER; SOFTWARE;

EID: 80052817242     PISSN: 13861425     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.saa.2011.06.014     Document Type: Article

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