Selective pressurised liquid extraction of halogenated pesticides and polychlorinated biphenyls from pine needles

Lavin, Karen S.; Hageman, Kimberly J.

doi:10.1016/j.chroma.2012.08.042

Cited by 13 publications

(6 citation statements)

References 33 publications

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“…Chen et al [35] developed a method for the same PBDEs and a different pine species (P. radiata) and achieved slightly higher LODs: 44-222 pg g -1 , dw. Lavin and Hageman [36] used P. radiata needles for the quantification of OCPs and PCBs, comparing PLE combined with GPC to selective PLE with no other cleanup and concluded that both methods perform similarly. Although HCB was not among the studied OCPs, for PCBs the recoveries (58-99%, estimated from chart) and LODs (22-270 pg g -1 , fresh weight) were higher than those obtained with our method.…”

Section: Methods Validationmentioning

confidence: 99%

An analytical multi-residue approach for the determination of semi-volatile organic pollutants in pine needles

Silva

Ratola

Ramos

et al. 2015

Analytica Chimica Acta

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Vegetation (and pine needles in particular) has been widely used as an alternative to other conventional sampling devices to assess the atmospheric presence of semi-volatile organic contaminants (SVOCs). While most analytical procedures developed focus only on one or two chemical classes, this this work intends to establish a multi-component protocol to quantify brominated flameretardants (BFRs), polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), polynuclear aromatic hydrocarbons (PAHs) and one class of contaminant of emerging concern, the synthetic musks fragrances (SMCs). Pine needles extracts were obtained by ultrasonic solvents extraction (USE), and different cleanup approaches using solid-phase extraction (SPE) employing combinations of sorbents and solvents as well as gel permeation chromatography (GPC) were tested. SPE with alumina followed by GCP yielded the best results, with average recoveries over 80%. The application of the method under field conditions was proven by the analysis of naturally contaminated samples from 3 sites of different potential exposure (remote, rural and urban). The total detected concentrations ranged from 0.45 to 0.87 ng g -1 dry weight (dw) for BFRs, 0.35 to 1.01 ng g -1 (dw) for PCBs, 0.36 to 12.2 ng g -1 (dw) for HCB, 245.7 to 967.8 ng g -1 (dw) for PAHs and 20.7 to 277.5 ng g -1 (dw) for SMCs.This methodology is a viable approach for the simultaneous analysis of five different classes of atmospheric pollutants employing less analytical efforts. Moreover, to the author's best knowledge, this is also the first time vegetation 2 is employed in the detection of SMCs.

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Section: Methods Validationmentioning

confidence: 99%

An analytical multi-residue approach for the determination of semi-volatile organic pollutants in pine needles

Silva

Ratola

Ramos

et al. 2015

Analytica Chimica Acta

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“…A laboratory blank sample was analyzed with each set of three subsamples. The homogenized samples were extracted using a selective pressurized liquid extraction method with Florisil as the adsorbent; the method is described in detail elsewhere . All samples and laboratory blanks were spiked with a mixture of isotopically labeled standards ( d 14 -trifluralin, d 6 - alpha -HCH, d 10 -chlorpyrifos, d 4 -endosulfan I) prior to extraction to correct for recovery.…”

Section: Methodsmentioning

confidence: 99%

Contributions of Long-Range and Regional Atmospheric Transport on Pesticide Concentrations along a Transect Crossing a Mountain Divide

Lavin¹,

Hageman²

2013

Environ. Sci. Technol.

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Twenty-one halogenated legacy and current-use pesticides and pesticide degradation products were measured in pine needles along a coast-to-coast transect that crossed the Southern Alps of New Zealand. Concentration profiles of nine pesticides were used to determine the influence of geographic sources on the atmospheric pesticide burden at the mountain sites. Pesticide concentration profiles were calculated for each source and mountain site by normalizing concentrations (adjusted for temperature at the site and air-needle partitioning) to the sum of all pesticide concentrations at the site. Each mountain site profile was compared to varying mixtures of the potential source profiles to determine the percent contribution of each source. The highest elevation mountain sites were primarily influenced by long-range, synoptic-scale northwesterly winds. Westerly upslope winds had little influence on any of the mountain sites. Easterly upslope winds from the Canterbury Plains, an agricultural region, strongly influenced the mountain sites within close proximity and had progressively less influence with distance.

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“…Furthermore, the developed method was evaluated and compared in terms of extraction time, accuracy, precision, sensitivity and versatility, with other procedures. The main differences between the developed procedures and other published methods for determination of pollutants residues in conifer samples pertain to the time of the stage of extraction and clean-up [40][41].…”

Section: Discussionmentioning

confidence: 99%

Conifers as environmental biomonitors: A multi-residue method for the concomitant quantification of pesticides, polycyclic aromatic hydrocarbons and polychlorinated biphenyls by LC-MS/MS and GC–MS/MS

Baroudi

Al-Alam

Chimjarn

et al. 2020

Microchemical Journal

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Selective pressurised liquid extraction of halogenated pesticides and polychlorinated biphenyls from pine needles

Cited by 13 publications

References 33 publications

An analytical multi-residue approach for the determination of semi-volatile organic pollutants in pine needles

An analytical multi-residue approach for the determination of semi-volatile organic pollutants in pine needles

Contributions of Long-Range and Regional Atmospheric Transport on Pesticide Concentrations along a Transect Crossing a Mountain Divide

Conifers as environmental biomonitors: A multi-residue method for the concomitant quantification of pesticides, polycyclic aromatic hydrocarbons and polychlorinated biphenyls by LC-MS/MS and GC–MS/MS

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