Introduction of organic/hydro-organic matrices in inductively coupled plasma optical emission spectrometry and mass spectrometry: A tutorial review. Part II. Practical considerations

Leclercq, Amélie; Nonell, Anthony; Torró, Jose Luis Todolí; Bresson, Carole; Vio, Laurent; Vercouter, Thomas; Chartier, Fredéric

doi:10.1016/j.aca.2015.04.039

Cited by 66 publications

(46 citation statements)

References 233 publications

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“…This effect is especially severe when complex matrices and high carboncontent samples such as biodiesel fuel are analyzed. The main strategies to minimize matrix effects in ICP OES fuel analysis are the use of robust conditions [13], introduction of O 2 gas into the plasma to decompose carbon species [15], and standard additions calibration. On the other hand, complete sample digestion, the preparation of emulsions and microemulsions, and standard additions are the few available alternatives to ensure accuracy in FAAS and FAES determinations [10,11].…”

Section: Introductionmentioning

confidence: 99%

Signal correction using molecular species to improve biodiesel analysis by microwave-induced plasma optical emission spectrometry

Lowery

McSweeney

Adhikari

et al. 2016

Microchemical Journal

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Section: Introductionmentioning

confidence: 99%

Signal correction using molecular species to improve biodiesel analysis by microwave-induced plasma optical emission spectrometry

Lowery

McSweeney

Adhikari

et al. 2016

Microchemical Journal

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“…Graphite furnace atomic absorption spectrometry (GFAAS) technology and inductively coupled plasma atomic emission spectroscopy (ICP‐AES) are suitable for the analysis of various elements in complex matrices. They are accurate, sensitive, stable, and easy to operate . Recently, these multi‐element analyses have been applied in geographical authenticity studies of several plant‐derived products, such as table grapes, cherries, rice, tea, kiwi fruit, and wine, with high discrimination rates.…”

Section: Introductionmentioning

confidence: 99%

“…They are accurate, sensitive, stable, and easy to operate. [14][15][16] Recently, these multi-element analyses have been applied in geographical authenticity studies of several plant-derived products, such as table grapes, 17 cherries, 18 rice, 19 tea, 20 kiwi fruit, 21 and wine, 22 with high discrimination rates. However, until now, few studies have reported on the geographical origin of Chinese apples.…”

Section: Introductionmentioning

confidence: 99%

Geographical origin of Chinese apples based on multiple element analysis

et al. 2019

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BACKGROUND Apples from different regions of China show different qualities and internal characteristics, and appeal to different customers. However, these aspects have not been studied in depth. We characterized the profiles of 14 elements in 317 apple samples collected from five regions of China. Principal component analysis (PCA), linear discriminant analysis (LDA), and back‐propagation artificial neural networks analysis (BP‐ANN) were used to build models for apple authentication. RESULTS Fourteen elements were successfully identified in apple samples by performing graphite furnace atomic absorption spectrometry (GFAAS) and inductively coupled plasma atomic emission spectroscopy (ICP‐AES) analyses. Comparative analysis showed significantly different element profiles in samples from different regions. The first five principal components obtained by PCA accounted for 71.8% of the total variance. The LDA obtained 70.0% classification rates. The BP‐ANN obtained 82.7% classification rates. CONCLUSION This study indicated the possibility that apples could be authenticated based on differences in their element profiles, and provided a basis for further geographical origin studies. © 2019 Society of Chemical Industry

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“…plasma power, sample uptake rate, nebulizer gas flow rate, etc.) and the sample introduction system on the analytical figures of merit [5,19,20]. In our opinion, to couple DLLME-ICP-based techniques, the optimization of the full variables (experimental and instrumental) of both DLLME and ICP is mandatory.…”

Section: Introductionmentioning

confidence: 99%

Coupling dispersive liquid-liquid microextraction to inductively coupled plasma atomic emission spectrometry: An oxymoron?

Martinez

Torregrosa

Grindlay

et al. 2018

Talanta

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Coupling dispersive liquid-liquid micro-extraction (DLLME) to inductively coupled plasma atomic emission spectrometry (ICP-AES) is usually troublesome due to the limited plasma tolerance to the organic solvents usually employed for metal extraction. This work explores different coupling strategies allowing the multi-element determination by ICP-AES of the solutions obtained after DLLME procedures. To this end, three of the most common extractant solvents in DLLME procedures (1-undecanol, 1-butyl-3-methyl-imidazolium hexafluorophosphate and chloroform) have been selected to face most of the main problems reported in DLLME-ICP-AES coupling (i.e., those arising from the high solvent viscosity and volatility). Results demonstrate that DLLME can be successfully coupled to ICP-AES after a careful optimization of the experimental conditions. Thus, elemental analysis in 1-undecanol and 1-butyl-3-methyl-imidazolium hexafluorophosphate extracts can be achieved by ICP-AES after a simple dilution step with methanol (1:0.5). Chloroform can be directly introduced into the plasma with minimum changes in the ICP-AES configuration usually employed when operating with aqueous solutions. Diluted inorganic acid solutions (1% w w either nitric or hydrochloric acids) have been successfully tested for the first time as a carrier for the introduction of organic extractants in ICP-AES. The coupling strategies proposed have been successfully applied to the multi-element analysis (Al, Cu, Fe, Mn, Ni and Zn) of different water samples (i.e. marine, tap and river) by DLLME-ICP-AES.

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Introduction of organic/hydro-organic matrices in inductively coupled plasma optical emission spectrometry and mass spectrometry: A tutorial review. Part II. Practical considerations

Cited by 66 publications

References 233 publications

Signal correction using molecular species to improve biodiesel analysis by microwave-induced plasma optical emission spectrometry

Signal correction using molecular species to improve biodiesel analysis by microwave-induced plasma optical emission spectrometry

Geographical origin of Chinese apples based on multiple element analysis

Coupling dispersive liquid-liquid microextraction to inductively coupled plasma atomic emission spectrometry: An oxymoron?

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