Multi-energy calibration as a strategy for elemental analysis of fertilizers by microwave-induced plasma optical emission spectrometry

Machado, Raquel C.; Silva, Ana Beatriz; Donati, George L.; Nogueira, Ana Rita A.

doi:10.1039/c8ja00077h

Cited by 45 publications

(15 citation statements)

References 17 publications

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“…Otherwise, when the value was corrected to the mass fraction, the recovery was lower. According to the results shown in Table 2, it can be observed that the best results (highlighted concentrations) were obtained when C Std was at least twice or equal to the analyte concentrations in the sample, as reported by Machado et al 15 The EC, IS, and SA calibration procedures were accomplished in a comparative study. To evaluate these calibrations, we calculated the recoveries of the analytes, that are shown in Table 3.…”

Section: Resultsmentioning

confidence: 65%

“…During the calibration process, these lines are merely discarded. [14][15][16] After the analysis of the wavelengths for each analyte, the emission lines were selected, resulting in 18 emission lines for Ca, 9 emission lines for Cu, 12 emission lines for Fe, 11 emission lines for K, 12 emission lines for Mg, 11 emission lines for Na, 14 emission lines for P, 12 emission lines for S, and 14 emission lines for Zn. Each selected emission line represents a point on the calibration curve, as was previously mentioned.…”

Section: Resultsmentioning

confidence: 99%

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Multi-Energy Calibration: A Practical Method for Determination of Macro and Micro Nutrients in Meat by ICP OES

Higuera

Silva

Nogueira

2019

J. Braz. Chem. Soc.

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The multi-energy calibration (MEC) was evaluated for the determination of Ca, Cu, Fe, K, Mg, Na, P, S, and Zn in meat samples by inductively coupled plasma optical spectrometry (ICP OES). This calibration method consists of using only two calibration standards and several atomic and ionic emission wavelengths with different sensitivities to determine the analyte concentration in the sample. Both calibration mixtures are prepared using the same amount of sample, which contributes to minimize matrix effects. The accuracy was evaluated using two certified reference materials, bovine liver (SRM 1577c) and bovine muscle (SRM 8414), with recoveries within 87-107% range. The method was applied for the determination of the analytes in meats of chicken, sheep loin, sheep carcass and bovine, and prove to be usable in samples with different characteristics.

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Section: Resultsmentioning

confidence: 65%

Section: Resultsmentioning

confidence: 99%

Multi-Energy Calibration: A Practical Method for Determination of Macro and Micro Nutrients in Meat by ICP OES

Higuera

Silva

Nogueira

2019

J. Braz. Chem. Soc.

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“…In general, MEC-based methods enable higher trueness compared with EC and IS, and higher sample throughputs compared with SA (as fewer calibration solutions are required per sample). 81,82 An exclusive advantage of the MEC method is the possibility of readily identifying spectral interferences on different emission lines (which manifest as points off the linear region of the MEC plot). In a traditional method, the identication of overlapping peaks would require a pre-analysis study to evaluate potentially interfering elements present in the sample.…”

Section: Calibration Strategiesmentioning

confidence: 99%

Is MIP-OES a suitable alternative to ICP-OES for trace element analysis?

Fontoura

Jofré

Williams

et al. 2022

J. Anal. At. Spectrom.

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“…In the same vein, Tiwari et al ( 2022 ) utilized a panel dataset from 16 Asian economies covering 1990 to 2019 to investigate the equity market-renewable energy nexus. The novel technique of panel quantile regression proposed by Machado et al ( 2018 ) was employed as an estimator. The result shows that developing the equity market encouraged renewable energy projects of 70% quantile.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating factors affecting global environmental sustainability: evidence from nonlinear ARDL bounds test

Sowah

Kırıkkaleli

2022

Environ Sci Pollut Res

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The concept of environmental sustainability formed the basis of the Paris Agreement and the United Nations conference in Rio de Janeiro. Empirically, without environmental sustainability, everything else could fall apart or be aimless. This study investigates factors affecting global environmental sustainability spanning 1966Q1 to 2019Q4. However, there are many micro-/macroeconomic factors engendering the environment, and the absence of robust clarity on whether factors such as economic growth, urbanization, trade openness, and energy consumption matter for global environmental sustainability remains a global academic dilemma in the economics literature. This paper utilized the unrestricted nonlinear autoregressive distributed lag (NARDL) bounds test techniques to model their relationship. Furthermore, the study adopted fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegrating regression (CCR) methods to test the research hypothesis, catering to the problem of endogeneity and serial correlation. Up-to-date of this study, no empirical study has examined the nexus of these variables within the global framework. The outcomes suggested that (i) NARDL bounds test of cointegration confirmed evidence of long-run and short-run relationships among the variables; (ii) long-run asymmetric relationship was affirmed among the variables; and (iii) DOLS, FMOLS, and CCR models demonstrate that economic growth, energy consumption, and trade openness are positively significantly correlated with environmental sustainability except for economic growth which shows negative and insignificant correlation. These findings validate the protracted argument in literature that these estimated variables are significant for global environmental sustainability. This study recommends that environmental policymakers integrate global economic incentives with favorable regulatory changes for achieving the goals of a global sustainable environment in the long-run equilibrium.

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Multi-energy calibration as a strategy for elemental analysis of fertilizers by microwave-induced plasma optical emission spectrometry

Abstract: Multi-energy calibration was used to determine As, Ba, Cd, Cr, and Pb in fertilizers by MIP OES.

Cited by 45 publications

References 17 publications

Multi-Energy Calibration: A Practical Method for Determination of Macro and Micro Nutrients in Meat by ICP OES

Multi-Energy Calibration: A Practical Method for Determination of Macro and Micro Nutrients in Meat by ICP OES

Is MIP-OES a suitable alternative to ICP-OES for trace element analysis?

Investigating factors affecting global environmental sustainability: evidence from nonlinear ARDL bounds test

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