Assessment and validation of ICP-MS and IC-ICP-MS methods for the determination of total, extracted and speciated arsenic. Application to samples from a soil-rice system at varying the irrigation method

Langasco, Ilaria; Barracu, Francesco; Deroma, Mario; López-Sánchez, José Fermı́n; Mara, Andrea; Meloni, Paola; Pilo, Maria Itria; Estrugo, Àngels Sahuquillo; Sanna, Gavino; Spano, Nadia; Spanu, Antonino

doi:10.1016/j.jenvman.2021.114105

Cited by 12 publications

(6 citation statements)

References 76 publications

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“…Beyond this specific issue, the need to avoid the interference of molecular ions of any origin on the determination of the chosen isotopes of the analytes suggested to operate in kinetic energy discrimination (KED) mode for 15 elements out of 23. Therefore, the He flow has been carefully optimized for each element, to find the best compromise between the minimization of the polyatomic ion interferences and the maximization of the instrumental signal [ 66 , 67 , 68 , 69 ]. As a result, 75 As, 138 Ba, 111 Cd, 59 Co, 52 Cr, 63 Cu, 57 Fe, 55 Mn, 60 Ni, 121 Sb, 120 Sn, 88 Sr, 120 Te, 51 V, and 66 Zn were analyzed in KED mode using a He flow rate between 3 and 4 cm 3 min −1 , while 107 Ag, 9 Be, 209 Bi, 7 Li, 202 Hg, 98 Mo, 208 Pb, and 205 Tl were analyzed in normal mode.…”

Section: Methodsmentioning

confidence: 99%

Multi-Elemental Analysis as a Tool to Ascertain the Safety and the Origin of Beehive Products: Development, Validation, and Application of an ICP-MS Method on Four Unifloral Honeys Produced in Sardinia, Italy

et al. 2022

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Despite unifloral honeys from Sardinia, Italy, being appreciated worldwide for their peculiar organoleptic features, their elemental signature has only partly been investigated. Hence, the principal aim of this study was to measure the concentration of trace and toxic elements (i.e., Ag, As, Ba, Be, Bi, Cd, Co, Cr, Cu, Fe, Hg, Li, Mn, Mo, Ni, Pb, Sb, Sn, Sr, Te, Tl, V, and Zn) in four unifloral honeys produced in Sardinia. For this purpose, an original ICP-MS method was developed, fully validated, and applied on unifloral honeys from asphodel, eucalyptus, strawberry tree, and thistle. Particular attention was paid to the method’s development: factorial design was applied for the optimization of the acid microwave digestion, whereas the instrumental parameters were tuned to minimize the polyatomic interferences. Most of the analytes’ concentration ranged between the relevant LoDs and few mg kg−1, while toxic elements were present in negligible amounts. The elemental signatures of asphodel and thistle honeys were measured for the first time, whereas those of eucalyptus and strawberry tree honeys suggested a geographical differentiation if compared with the literature. Chemometric analysis allowed for the botanical discrimination of honeys through their elemental signature, whereas linear discriminant analysis provided an accuracy level of 87.1%.

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Section: Methodsmentioning

confidence: 99%

Multi-Elemental Analysis as a Tool to Ascertain the Safety and the Origin of Beehive Products: Development, Validation, and Application of an ICP-MS Method on Four Unifloral Honeys Produced in Sardinia, Italy

et al. 2022

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“…Then, the samples were introduced to a NexION 300X ICP-MS spectrometer (PerkinElmer, Waltham, USA) for the ICP-MS test. Quantification of arsenic via ICP-MS is deemed suitable for the present study due to its resolution and sensitivity [41,42].…”

Section: Total Arsenic Determinationmentioning

confidence: 99%

Adding Value to Wastewater Bioremediation by Lipid Extraction from Oedogonium intermedium

et al. 2023

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Macroalgae bioremediation is a potential way to deal with the escalating problem of arsenic contamination. The results of this study demonstrate that the arsenic content in wastewater treated by Oedogonium intermedium decreases by 32% from 1.13 ± 0.01 to 0.77 ± 0.03 ppb. Then, supercritical carbon dioxide (SC‐CO2) extraction was employed to isolate lipids from O. intermedium. Response surface methodology based on the Box‐Behnken design was carried out to optimize the SC‐CO2 extraction conditions of pressure (200–400 bar), temperature (30–50 °C), and extraction time (30–90 min). The optimal conditions from the model are predicted as 301.95 bar, 41.3 °C, and 30.53 min with 3.24 % lipid yield, 61.30 % PUFA ratio, and 0.106 µg g−1 of arsenic content, respectively.

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“…Currently, various detection methods were used for different aspects of soil analysis. For assessing soil physical properties, methods such as pH determination [1], cation exchange [2], and potential measurement [3] were commonly employed. Soil chemical properties are determined using techniques such as inductively coupled plasma mass spectrometry [4], chromatography [5], and atomic absorption spectroscopy [6].…”

Section: Introductionmentioning

confidence: 99%

Accurate method based on data filtering for quantitative multi-element analysis of soils using CF-LIBS

HAN 韩,

SUN 孙,

ZHANG 张

et al. 2024

Plasma Sci. Technol.

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To obtain more stable spectral data for accurate quantitative analysis of multi-element, especially for the large-area in-situ elements detection of soils, we propose a method for a multi-element quantitative analysis of soils using calibration-free laser-induced breakdown spectroscopy (CF-LIBS) based on data filtering. In this study, we analyze a standard soil sample doped with two heavy metal elements, Cu and Cd, with a specific focus on the line of Cu I 324.75 nm for filtering the experimental data of multiple sample sets. Pre- and post- data filtering, the relative standard deviation for Cu decreased from 30% to 10%, The limits of detection (LOD) values for Cu and Cd decreased by 5% and 4%, respectively. Through CF-LIBS, a quantitative analysis was conducted to determine the relative content of elements in soils. Using Cu as a reference, the concentration of Cd was accurately calculated. The results show that post- data filtering, the average relative error of the Cd decreases from 11% to 5%, indicating the effectiveness of data filtering in improving the accuracy of quantitative analysis. Moreover, the content of Si, Fe and other elements can be accurately calculated using this method. To further correct the calculation, the results for Cd was used to provide a more precise calculation. This approach is of great importance for the large-area in-situ heavy metals and trace elements detection in soil, as well as for rapid and accurate quantitative analysis.

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Assessment and validation of ICP-MS and IC-ICP-MS methods for the determination of total, extracted and speciated arsenic. Application to samples from a soil-rice system at varying the irrigation method

Cited by 12 publications

References 76 publications

Multi-Elemental Analysis as a Tool to Ascertain the Safety and the Origin of Beehive Products: Development, Validation, and Application of an ICP-MS Method on Four Unifloral Honeys Produced in Sardinia, Italy

Multi-Elemental Analysis as a Tool to Ascertain the Safety and the Origin of Beehive Products: Development, Validation, and Application of an ICP-MS Method on Four Unifloral Honeys Produced in Sardinia, Italy

Adding Value to Wastewater Bioremediation by Lipid Extraction from Oedogonium intermedium

Accurate method based on data filtering for quantitative multi-element analysis of soils using CF-LIBS

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