FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022759924> ?p ?o ?g. }

• W2022759924 endingPage "65" @default.
• W2022759924 startingPage "53" @default.
• W2022759924 abstract "A differential spectrophotometric method has been developed for the simultaneous quantitative determination of glucose (GLU), fructose (FRU) and lactose (LAC) in food samples. It relies on the different kinetic rates of the analytes in their oxidative reaction with potassium ferricyanide (K3Fe(CN)6) as the oxidant. The reaction data were recorded at the analytical wavelength (420 nm) of the K3Fe(CN)6 spectrum. Since the kinetic runs of glucose, fructose and lactose overlap seriously, the condition number was calculated for the data matrix to assist with the optimisation of the experimental conditions. Values of 80 °C and 1.5 mol l−1 were selected for the temperature and concentration of sodium hydroxide (NaOH), respectively. Linear calibration graphs were obtained in the concentration range of 2.96–66.7, 3.21–67.1 and 4.66–101 mg l−1 for glucose, fructose and lactose, respectively. Synthetic mixtures of the three reducing sugar were analysed, and the data obtained were processed by chemometrics methods, such as partial least square (PLS), principal component regression (PCR), classical least square (CLS), back propagation-artificial neural network (BP-ANN) and radial basis function-artificial neural network (RBF-ANN), using the normal and the first-derivative kinetic data. The results show that calibrations based on first-derivative data have advantages for the prediction of the analytes and the RBF-ANN gives the lowest prediction errors of the five chemometrics methods. Following the validation of the proposed method, it was applied for the determination of the three reducing sugars in several commercial food samples; and the standard addition method yielded satisfactory recoveries in all instances." @default.
• W2022759924 created "2016-06-24" @default.
• W2022759924 creator A5018916998 @default.
• W2022759924 creator A5023102363 @default.
• W2022759924 creator A5040865670 @default.
• W2022759924 date "2003-03-01" @default.
• W2022759924 modified "2023-09-27" @default.
• W2022759924 title "A kinetic spectrophotometric method for the determination of ternary mixtures of reducing sugars with the aid of artificial neural networks and multivariate calibration" @default.
• W2022759924 cites W1595545155 @default.
• W2022759924 cites W1925107892 @default.
• W2022759924 cites W1965407275 @default.
• W2022759924 cites W1965762454 @default.
• W2022759924 cites W1972412129 @default.
• W2022759924 cites W1982120324 @default.
• W2022759924 cites W1985495750 @default.
• W2022759924 cites W1987534944 @default.
• W2022759924 cites W1993347531 @default.
• W2022759924 cites W2000188658 @default.
• W2022759924 cites W2006427918 @default.
• W2022759924 cites W2009889695 @default.
• W2022759924 cites W2012933129 @default.
• W2022759924 cites W2017423305 @default.
• W2022759924 cites W2020450187 @default.
• W2022759924 cites W2021873216 @default.
• W2022759924 cites W2029368464 @default.
• W2022759924 cites W2032906720 @default.
• W2022759924 cites W2037485796 @default.
• W2022759924 cites W2040017409 @default.
• W2022759924 cites W2043108205 @default.
• W2022759924 cites W2043633763 @default.
• W2022759924 cites W2048522468 @default.
• W2022759924 cites W2050666517 @default.
• W2022759924 cites W2058382695 @default.
• W2022759924 cites W2066967243 @default.
• W2022759924 cites W2078902019 @default.
• W2022759924 cites W2079018991 @default.
• W2022759924 cites W2083491066 @default.
• W2022759924 cites W2089962851 @default.
• W2022759924 cites W2113442785 @default.
• W2022759924 cites W2158863190 @default.
• W2022759924 cites W2170187114 @default.
• W2022759924 cites W2171277043 @default.
• W2022759924 cites W2314338364 @default.
• W2022759924 cites W24821413 @default.
• W2022759924 cites W4232805035 @default.
• W2022759924 cites W4300565850 @default.
• W2022759924 doi "https://doi.org/10.1016/s0003-2670(02)01654-9" @default.
• W2022759924 hasPublicationYear "2003" @default.
• W2022759924 type Work @default.
• W2022759924 sameAs 2022759924 @default.
• W2022759924 citedByCount "42" @default.
• W2022759924 countsByYear W20227599242012 @default.
• W2022759924 countsByYear W20227599242013 @default.
• W2022759924 countsByYear W20227599242015 @default.
• W2022759924 countsByYear W20227599242016 @default.
• W2022759924 countsByYear W20227599242017 @default.
• W2022759924 countsByYear W20227599242019 @default.
• W2022759924 countsByYear W20227599242021 @default.
• W2022759924 countsByYear W20227599242023 @default.
• W2022759924 crossrefType "journal-article" @default.
• W2022759924 hasAuthorship W2022759924A5018916998 @default.
• W2022759924 hasAuthorship W2022759924A5023102363 @default.
• W2022759924 hasAuthorship W2022759924A5040865670 @default.
• W2022759924 hasConcept C10390740 @default.
• W2022759924 hasConcept C105795698 @default.
• W2022759924 hasConcept C113196181 @default.
• W2022759924 hasConcept C151304367 @default.
• W2022759924 hasConcept C154945302 @default.
• W2022759924 hasConcept C165838908 @default.
• W2022759924 hasConcept C178790620 @default.
• W2022759924 hasConcept C185592680 @default.
• W2022759924 hasConcept C22354355 @default.
• W2022759924 hasConcept C27438332 @default.
• W2022759924 hasConcept C2778724459 @default.
• W2022759924 hasConcept C33923547 @default.
• W2022759924 hasConcept C41008148 @default.
• W2022759924 hasConcept C43617362 @default.
• W2022759924 hasConcept C50644808 @default.
• W2022759924 hasConcept C74887250 @default.
• W2022759924 hasConceptScore W2022759924C10390740 @default.
• W2022759924 hasConceptScore W2022759924C105795698 @default.
• W2022759924 hasConceptScore W2022759924C113196181 @default.
• W2022759924 hasConceptScore W2022759924C151304367 @default.
• W2022759924 hasConceptScore W2022759924C154945302 @default.
• W2022759924 hasConceptScore W2022759924C165838908 @default.
• W2022759924 hasConceptScore W2022759924C178790620 @default.
• W2022759924 hasConceptScore W2022759924C185592680 @default.
• W2022759924 hasConceptScore W2022759924C22354355 @default.
• W2022759924 hasConceptScore W2022759924C27438332 @default.
• W2022759924 hasConceptScore W2022759924C2778724459 @default.
• W2022759924 hasConceptScore W2022759924C33923547 @default.
• W2022759924 hasConceptScore W2022759924C41008148 @default.
• W2022759924 hasConceptScore W2022759924C43617362 @default.
• W2022759924 hasConceptScore W2022759924C50644808 @default.
• W2022759924 hasConceptScore W2022759924C74887250 @default.
• W2022759924 hasIssue "1" @default.
• W2022759924 hasLocation W20227599241 @default.
• W2022759924 hasOpenAccess W2022759924 @default.

• next