Comparative Assessment of the Quality of Aerosol Filters for the Analysis of Ambient Air Pollution

2021 ◽  
pp. 33-38
Author(s):  
MV Egorova ◽  
VV Korotkov ◽  
AS Rodionov ◽  
EV Grigorieva ◽  
VV Gnezdilova
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
False Negative ◽  
Air Sampling ◽  
Filter Material ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Toxic Substances ◽  
Cellulose Ethers ◽  
Technological Parameters

Introduction. Atmospheric aerosols contain many carcinogenic and toxic substances, a significant part of which is represented by heavy metals. Traditionally, metal analysis is preceded by air sampling on AFA-HA-20 filters; yet, the lack of regulations on permitted background levels of trace elements in the filter material may limit reliability of measurements. Selection of filters with similar technological parameters can be a way to improve analytical accuracy. Objective: To determine contamination of different types of filters and to establish its effect on the results of spectral analysis of airborne metal concentrations in a large industrial city. Materials and methods: We analyzed unexposed AFA-HA-20 filters and Merck Millipore MF filters (n = 30 each) for the content of 13 heavy metals identified as priority pollutants within the Federal Clean Air Project. To assess the effect of filter contamination on the analytical error, air sampling was performed by exposing Merck Millipore MF filters at mobile monitoring stations in the city of Lipetsk. The filters were then analyzed by inductively coupled plasma mass spectrometry with prior microwave mineralization. Results: Our findings confirm the repeatedly obtained data on metal contents in null AFA-HA-20 filters and indicate significantly lower levels of contamination of unexposed Millipore MF filters made of mixed cellulose ethers. Conclusions: The risk of obtaining false positive and false negative results depends on the level and variability of the content of a particular trace metal in the filter. The AFA-HA-20 type of filters traditionally used for ambient air sampling may itself confound measurement result.

Determination of As, Cd, Ni and Pb in PM10 – comparison of different sample work-up and analysis methods/Bestimmung von As, Cd, Ni und Pb in PM10 – Vergleich verschiedener Probenaufbereitungs- und Analysenverfahren

Gefahrstoffe ◽  
2020 ◽  
Vol 80 (06) ◽  
pp. 227-233 ◽  
Author(s):  
I. Beslic ◽  
J. Burger ◽  
F. Cadoni ◽  
D. Centioli ◽  
I. Kranjc ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Metal Concentration ◽  
Inductively Coupled Plasma ◽  
Ambient Air ◽  
Power Functions ◽  
Joint Research ◽  
Inductively Coupled ◽  
Target Values ◽  
Work Up

In 2015 the European Joint Research Center (JRC) for air quality in Ispra, Italy, carried out an intercomparison for the determination of PM10 and PM2.5 in ambient air. Five laboratories also analyzed the content of heavy metals (arsenic, cadmium, lead and nickel) in PM10 from filter samples collected during the intercomparison. Thus, all steps from sampling in the field to instrumental quantification of heavy metals in the laboratory could be statistically analyzed. The different techniques of sampling and sample work-up had no significant influence on the analysis results. However, the method of instrumental analysis strongly influenced them: The results of laboratories using the Inductively Coupled Plasma Mass Spectroscopy (ICP-MS) coincided well in most cases. For laboratories using the Energy Dispersed X-Ray Fluorescence (ED-XRF) technique the uncertainty of the results strongly depended on the metal concentration. For cadmium the concentrations generally were too low for analysis by ED-XRF, for arsenic, lead and nickel the relative uncertainties decreased exponentially with increasing concentrations. The relation between metal concentration and the relative uncertainty of analysis results could be described as power functions. Analysis of lead and nickel by ED-XRF is well possible in the range of the EU limit and target values for these metals.

scholarly journals Organochlorine pesticide residues and other toxic substances in salted Tenualosa ilisha L.: Northeastern part of India

2021 ◽  
pp. 201-206
Author(s):  
Sanchari Goswami ◽  
Kuntal Manna
Keyword(s):  
Mass Spectrometry ◽  
Heavy Metals ◽  
Organochlorine Pesticide ◽  
Pesticide Residues ◽  
Inductively Coupled Plasma ◽  
High Performance ◽  
Organochlorine Pesticide Residue ◽  
Toxic Substances ◽  
Organochlorine Pesticide Residues ◽  
Tenualosa Ilisha

Introduction. Fish can sometimes be contaminated with several highly toxic substances at once, e.g. heavy metals, pesticides, and preservatives. In this regard, it is essential to determine the presence of these harmful chemicals in fish products. The research objective was to analyze the level of organochlorine pesticide residues and other toxic substances in Tenualosa ilisha L. Study objects and methods. The study featured organochlorine pesticide residues and other toxic substances in raw and cooked samples of fresh and salted T. ilisha, which is a popular dish in Northeast India, especially in the state of Tripura. The analysis involved tests for formaldehyde, pesticides, and heavy metals. Formaldehyde content was estimated using high-performance liquid chromatography, pesticides content – by low-pressure gas chromatography/tandem mass spectrometry, and heavy metals – by inductively coupled plasma/mass spectrometry. Results and discussion. The salted samples had a high content of formaldehyde, though it remained within the normal range. Both fresh and salted samples demonstrated high concentrations of heavy metals such as zinc, copper, and selenium. The salted sample appeared to have a high content of toxic organochlorine pesticide residues. Frying and boiling of fresh and salted fish decreased formaldehyde and organochlorine pesticide residue contents but did not reduce heavy metal content. Conclusion. T. ilisha was found to be quite safe for human health.

ASSOCIATION OF HEAVY METALS IN THE FINE PARTICLE AND LUNG FUNCTION IN AMBIENT AIR POLLUTION

Epidemiology ◽  
2005 ◽  
Vol 16 (5) ◽  
pp. S118 ◽  
Author(s):  
K H. Lee ◽  
D S. Kim ◽  
J H. Cha ◽  
S D. Ryu ◽  
H J. Lee ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Air Pollution ◽  
Lung Function ◽  
Fine Particle ◽  
Ambient Air ◽  
Ambient Air Pollution

scholarly journals Heavy Metal Concentration in Ambient Air University Campus Located near the Industrial Area

2015 ◽  
Vol 773-774 ◽  
pp. 1189-1193
Author(s):  
Radin Maya Saphira bte Radin Mohamed ◽  
Noor Maisara bte Jais ◽  
Farah Hanim bt. Che Aziz ◽  
Amir Hashim bin Mohd. Kassim ◽  
Norzila Othman
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Inductively Coupled Plasma ◽  
Quality Criteria ◽  
High Standard ◽  
Heavy Metal Concentration ◽  
Ambient Air ◽  
World Health ◽  
University Campus ◽  
Sampling Device

This study aims to measure the concentration of heavy metals of concern Lead (Pb), Copper (Cu), Chromium (Cr), Cadmium (Cd) and Nickel (Ni) at three university campus buildings which was situated adjacent to an industrial district. Heavy metals particulates were sampled from the PM10 sampling device (Met One Instrument) in 24 hours sampling between lecture and holiday periods. Determination of heavy metals concentrations were conducted using Inductively Coupled Plasma – Mass Spectrometry (ICP-MS) after the filter papers were digested with mixture of nitric acid (HNO3) and sulphuric acid (H2SO4). These heavy metal concentrations were compared to the Standard Concentration on Air such as World Health Organization Health (WHO), Ambient Air Quality Criteria Act 1994 (AAQC), National Environment Protection Council (NEPS) and also Texas Commission on Environmental Quality (TCEQ). The comparison with Standard Concentration of Air shows that Cd and Cu have low concentrations 0.0033±0.0018 μg/m3 and 0.0894±0.0614 μg/m3 while Cr and Ni have high concentrations of 0.1882±0.0535 μg/m3 and 0.1278±0.0323 μg/m3 respectively. The Pb gives irregular result and high standard deviation of 2.0410±3.4999 μg/m3. This finding produces significant contribution to some knowledge of the level of heavy metals in the study area. It identifies research needs and suggests potential approaches to addressing outstanding problems.

STATISTICAL METHODS FOR THE ASSESSMENT OF AIR POLLUTION OF JHANSI CITY, UTTAR PRADESH, INDIA

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
V. S. CHAUHAN ◽  
BHANUMATI SINGH ◽  
SHREE GANESH ◽  
JAMSHED ZAIDI
Keyword(s):  
Air Pollution ◽  
Uttar Pradesh ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Base Line ◽  
Multivariate Statistical ◽  
Large Cities ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
The Status

Studies on air pollution in large cities of India showed that ambient air pollution concentrations are at such levels where serious health effects are possible. This paper presents overview on the status of air quality index (AQI) of Jhansi city by using multivariate statistical techniques. This base line data can help governmental and non-governmental organizations for the management of air pollution.

Key Aspects of Assessing Effectiveness and Efficiency of Implementation of the Federal Clean Air Project on the Example of the Comprehensive Emission Reduction Action Plan in Nizhny Tagil

2020 ◽  
pp. 48-60
Author(s):  
SV Yarushin ◽  
DV Kuzmin ◽  
AA Shevchik ◽  
TM Tsepilova ◽  
VB Gurvich ◽  
...  
Keyword(s):  
Emission Reduction ◽  
Action Plan ◽  
Local Population ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Mortality And Morbidity ◽  
Industrial Enterprises ◽  
Clean Air ◽  
Effectiveness And Efficiency ◽  
The Impact

Introduction: Key issues of assessing effectiveness and economic efficiency of implementing the Federal Clean Air Project by public health criteria are considered based on the example of the Comprehensive Emission Reduction Action Plan realized in the city of Nizhny Tagil, Sverdlovsk Region. Materials and methods: We elaborated method approaches and reviewed practical aspects of evaluating measures taken in 2018–2019 at key urban industrial enterprises accounting for 95 % of stationary source emissions. Results: Summary calculations of ambient air pollution and carcinogenic and non-carcinogenic inhalation health risks including residual risks, evaluation of the impact of air quality on urban mortality and morbidity rates, economic assessment of prevented morbidity and premature mortality cases have enabled us not only to estimate health effects but also to develop guidelines for development and implementation of actions aimed at enhancing effectiveness and efficiency of industrial emission reduction in terms of health promotion of the local population. Conclusions: We substantiate proposals for the necessity and sufficiency of taking remedial actions ensuring achievement of acceptable health risk levels as targets of the Comprehensive Emission Reduction Action Plan in Nizhny Tagil until 2024 and beyond.

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