scholarly journals Application of 96-well plate SPE method for analysis of persistent organic pollutants in low volume blood serum samples

Chemosphere ◽  
2021 ◽  
pp. 132300
Author(s):  
Jiří Palát ◽  
Petr Kukučka ◽  
Garry Codling ◽  
Elliott J. Price ◽  
Petr Janků ◽  
...  
Author(s):  
Pāvels Sudmalis ◽  
Mārīte Ārija Baķe ◽  
Juris Rotbergs

Abstract Persistent organic pollutants (POPs) are chemical substances that persist in the environment, bioaccumulate through the food web, and pose a risk of causing adverse effects to human health and the environment. The aim of the study was to assess the POP (polychlorinated biphenyls (PCBs), polybrominated diphenylethers (PBDEs), DDT and their derivatives) levels in blood serum to identify possible risk group workers. Blood serum samples (116 in total) were collected from two groups of employees — electricians, who can come in contact with PCB-containing transformer and capacitor oil, and welders, who were used as a control group. Sample purification was done by double solid phase extraction. The concentrations of POPs in blood serum were determined by gas chromatography with electron capture detector GC/ECD and recovery controlled by internal standard CB-174. None of the 116 samples contained the full range of tested POPs. However, all samples contained at least one of pesticides, and a marker PCB and mono-ortho PCB. Blood serum samples of 52% of electricians and 97.8% of welders contained non-ortho PCB compared to 84% and 74.7%, respectively, for PBDE’s. The concentrations of 18 detected PCBs, 4 detected PBDEs and 6 chlorinated pesticides and their metabolites varied in wide ranges and the differences in mean values between groups were not statistically significant (p > 0.05). The estimated concentrations of POPs correspond to the lowest levels detected in other countries. Mean concentrations of low-chlorinated marker PCBs were higher in the electrician group, suggesting that the employment sites are contaminated with PCBs, or that employees have contact with PCB-containing items.


2023 ◽  
Vol 83 ◽  
Author(s):  
S. Khwaja ◽  
S. I. Hussain ◽  
M. Zahid ◽  
Z. Aziz ◽  
A. Akram ◽  
...  

Abstract This study determines the associations among serum lipid profiles, risk of cardiovascular disease, and persistent organic pollutants. Using Gas chromatography technique, the intensity of toxic pollutant residues in serum samples of Hypertensive patients were measured. Based on statistical analysis, the effects of different covariates namely pesticides, age, systolic blood pressure, diastolic blood pressure, and lipid profile duration was checked using the logistic regression model. Statistical computation was performed on SPSS 22.0. The P-values of F-Statistic for each lipid profile class are greater than 0.01 (1%), therefore we cannot reject the null hypothesis for all cases. The estimated coefficients, their standard errors, Wald Statistic, and odds ratio of the binary logistic regression model for different lipid profile parameters indicate if pesticides increase then the logit value of different lipid profile parameters changes from -0.46 to -0.246 except LDL which increases by 0.135. The study reports a significantly increased threat of cardiovascular disease with increased concentrations of toxic pollutants.


Talanta ◽  
2014 ◽  
Vol 123 ◽  
pp. 169-178 ◽  
Author(s):  
R. Flores-Ramírez ◽  
M.D. Ortiz-Pérez ◽  
L. Batres-Esquivel ◽  
C.G. Castillo ◽  
C.A. Ilizaliturri-Hernández ◽  
...  

2020 ◽  
Vol 12 (7) ◽  
pp. 912-929
Author(s):  
Sandra Huber ◽  
Maria Averina ◽  
Jan Brox

An automated high-throughput SPE method for selected persistent organic pollutants comprising 17 organochlorine pesticides, 22 polychlorinated biphenyls, 9 polybrominated diphenylethers and octachlorostyrene in human serum and plasma was developed.


2011 ◽  
Vol 2011 (1) ◽  
Author(s):  
Virissa Lenters ◽  
Bo AG Jönsson ◽  
Cathrine Thomsen ◽  
Lars Rylander ◽  
Gunnar Toft ◽  
...  

Talanta ◽  
2012 ◽  
Vol 97 ◽  
pp. 491-498 ◽  
Author(s):  
Karen Ka-Wing Chung ◽  
Sammy Pak-Lam Chen ◽  
Sau-Wah Ng ◽  
Tony Wing-Lai Mak ◽  
Kelvin Sze-Yin Leung

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