Direct and Simultaneous Determination of Copper and Iron in Flours by Solid Sample Analysis and High-Resolution Continuum Source Graphite Furnace Atomic Absorption Spectrometry

Santos, Liz Oliveira dos; Brandão, Geovani Cardoso; Santos, André Luíz dos; Ferreira, Sérgio L.C.; Lemos, Valfredo Azevedo

doi:10.1007/s12161-016-0600-9

Cited by 15 publications

(4 citation statements)

References 31 publications

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“…The regression curves of individual Cu(II), Fe(III), and Ni(II) at 805 nm, 295 nm, and 395 nm as a function of concentration, were shown in Figure 2. The concentration required to obtain a linear curve for Cu(II), Fe(III), and Ni(II) salts was higher than their complex form [2][3][4][5]. But, in terms of sample preparation direct Cu(II), Fe(III), and Ni(II) salts were simpler and did not require a buffer solution.…”

Section: Resultsmentioning

confidence: 99%

“…Various spectrophotometric methods, such as atomic absorption spectroscopy (AAS) [5], atomic fluorescence spectroscopy (AFS) [6], and UV-Vis spectrophotometry [7], as well as other analytical techniques, have been used to quantitatively analyze mixed metal ion samples. Among these methods, UV-Vis spectrophotometry is one of the most extensively employed techniques, and…”

Section: Introductionmentioning

confidence: 99%

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Direct Cu, Fe, and Ni Ions Multicomponent Analysis Using UV-Vis Spectrophotometric Method

Suprapto,

Ni'mah

2023

Ind. J. Chem. Anal

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This study presents a direct multicomponent analysis method using UV-Vis spectrophotometry to determine Cu(II), Fe(III), and Ni(II) ion content without prior complexation or separation. Single and multivariate regression was used to predict metal ion content, and the resulting model was trained and validated using a dataset of 25 multi-component samples. The mean recoveries for Cu(II), Fe(III), and Ni(II) using linear and ridge regression based only on absorbance at 805 nm were 99.97% and 101.6%, 95.42% and 95.65%, and 99.43% and 99.99%, respectively, for the 20% test data. The mean recoveries for Cu(II), Fe(III), and Ni(II) using linear and ridge regression based only on absorbance at 805 nm were 92.27% and 95.03%, 125.3% and 124.11%, and 104.15% and 105.52%, respectively, for the test solution outside of the training data. These results demonstrate the effectiveness of the multivariate UV-Vis spectrophotometric method for the simultaneous determination of Cu(II) and Ni(II) in multicomponent samples, which meets the analysis standard and can be successfully applied. Finally, the study sheds light on the influence of spectral interference on the accuracy of regression models. It highlights the importance of carefully selecting the wavelengths used as predictors in such models. This can have significant implications for developing and validating analytical methods, particularly in cases where multiple analytes were present in a sample.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Direct Cu, Fe, and Ni Ions Multicomponent Analysis Using UV-Vis Spectrophotometric Method

Suprapto,

Ni'mah

2023

Ind. J. Chem. Anal

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“…The iron content was read using standard solutions of Iron (III) nitrate. Adsorption of 0.5, 1, 1.5, and 2 mg/L standard solutions were read at the wavelength of 248.3 nm and then the sample absorbance was read [ 22 , 23 , 24 ].…”

Section: Methodsmentioning

confidence: 99%

Evaluation of iron content in bakery flour samples of Tehran, Iran

Mohamadi

Yazdanfar²,

Ebrahiminejad³

et al. 2023

Heliyon

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“…16 A very important feature of this instrument is that it can perform simultaneous or sequential multi-element analysis (Tables 2 and 3). The HR-CS-GFAAS technique was mainly applied for the simultaneous or sequential multi-element analysis of foodstuffs, 82,87,109,123,125,92,93,99,[102][103][104]106,108 environmental media, 79,82,111,112,117,122,85,86,90,94,96,100,108,110 crude oil [75][76][77] and biological specimens. 80,107 Twenty-eight elements were determined by this technique and Fe, Ni, Cd and Co were the most frequently examined.…”

Section: Simultaneous or Sequential Multi-element Analysis By Hr-cs-gfaasmentioning

confidence: 99%

Simultaneous Or Sequential Multi-Element Graphite Furnace Atomic Absorption Spectrometry Techniques: Advances Within The Last 20 Years

Thomaidis¹

2021

At.Spectrosc.

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Electrothermal or graphite furnace atomic absorption spectrometry (ETAAS or GFAAS) is one of the most widely used techniques for determining elements in different matrices (e.g., foodstuffs, pharmaceuticals, biological specimens, nanomaterials, polymers, fuels and environmental media). Numerous elements can be simply and quickly determined with high precision and accuracy, low detection limits, and at moderate cost. The technique is also suitable for direct solid and slurry sample analysis. A crucial feature of this technique is that it can perform simultaneous or sequential multi-element analysis. Over the years, many instruments have come on the market for multi-elemental analysis using mostly line source (LS) GFAAS and high-resolution continuum source (HR-CS) GFAAS. This review covers publications from 2000 to 2020related to the simultaneous or sequential multi-elemental analysis by LS-GFAAS and HR-CS-GFAAS. Mainly the applications, the limits of detection, the use of internal standardization and other aspects regarding the matrix, pyrolysis and atomization temperatures and modifiers are discussed. Finally, a critical comparison is made between the LS-GFAAS and HR-CS-GFAAS techniques.

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Direct and Simultaneous Determination of Copper and Iron in Flours by Solid Sample Analysis and High-Resolution Continuum Source Graphite Furnace Atomic Absorption Spectrometry

Cited by 15 publications

References 31 publications

Direct Cu, Fe, and Ni Ions Multicomponent Analysis Using UV-Vis Spectrophotometric Method

Direct Cu, Fe, and Ni Ions Multicomponent Analysis Using UV-Vis Spectrophotometric Method

Evaluation of iron content in bakery flour samples of Tehran, Iran

Simultaneous Or Sequential Multi-Element Graphite Furnace Atomic Absorption Spectrometry Techniques: Advances Within The Last 20 Years

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