Literature DB >> 32154342

Dataset on specifications, carcinogenic and non-carcinogenic risk of volatile organic compounds during recycling paper and cardboard.

Ramin Nabizadeh1,2, Armin Sorooshian3,4, Mahdieh Delikhoon5, Abbas Norouzian Baghani1, Somayeh Golbaz1, Mina Aghaei1.   

Abstract

Emissions of volatile organic compounds (VOCs) were studied during paper and cardboard recycling from a paper and cardboard solid waste recycling factory (PCSWRF). Data are summarized in this article for the following quantities for a PCSWRF during the winter in Tehran, Iran: VOC concentrations (μg m-3), the percentage of detected VOCs, exposure indices (Ei) of individual and total VOCs (TVOCs), inhalation lifetime cancer risk (LTCR) of VOCs, the hazard quotient (HQ) of VOCs, sensitivity analysis (SA) for VOC exposure in different age groups (birth to <81), and Spearman's rank correlation coefficients (r) between VOC concentrations and meteorological parameters. For more insight please see "Characteristics and Health Effects of Volatile Organic Compound Emissions during Paper and Cardboard Recycling"[1], https://doi.org/10.1016/j.scs.2019.102005.
© 2020 The Authors.

Entities:  

Keywords:  Exposure indices; Hazard quotient; Inhalation lifetime cancer risk; Paper and cardboard recycling; VOCs

Year:  2020        PMID: 32154342      PMCID: PMC7056630          DOI: 10.1016/j.dib.2020.105296

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table The data could be used by researchers to further investigate risk assessment of workers' exposure to volatile organic compounds (VOCs) during paper and cardboard recycling in different regions. The data could be applied by researchers to study photochemical aging and to find emission sources of VOCs. The data provides valuable information on the relationships between VOC concentrations and meteorological parameters. The data allows comparison between the concentration of VOC species in different areas of paper and cardboard solid waste recycling factory (PCSWRF).

Data description

We collected data on VOCs species using GC-MS for different areas of a paper and cardboard solid waste recycling factory (PCSWRF) in different meteorological conditions. The six tables and two figures that are provided as data for this article contain a diagram of sampling points (Fig. 1), the percentage and box plot of VOCs (Fig. 2, Fig. 3), exposure indices (Ei) (Fig. 4) and hazard quotient (HQ) of individual and TVOCs (Fig. 5), inhalation lifetime cancer risk (LTCR) of VOCs (Fig. 6), The threshold limit value-time-weighted average (TLV-TWA), the reference dose (RfD), and cancer slope factor (CSF) of VOCs (Table 1), and also Pearson's correlation between VOC concentrations and meteorological parameters (Table 2).
Fig. 1

A diagram of sampling points in the PCSWRF.

Fig. 2

The percentage of detected VOCs based on frequency in different sampling sites: background (A); tipping floor route/line one (B); tipping floor route/line two (C); conveyor belt line one (D); conveyor belt line two (E); manual separation line one (F); manual separation line two (G); baling machine (H); storage (I); office (J).

Fig. 3

Box plot of VOC concentrations in different sampling locations in winter.

Fig. 4

Exposure indices (Ei) of individual and TVOCs in different sites of the PCSWRF: background (A); tipping floor route/line one (B); tipping floor route/line two (C); conveyor belt line one (D); conveyor belt line two (E); manual separation line one (F); manual separation line two (G); baling machine (H); storage (I); office (J).

Fig. 5

The hazard quotient (HQ) of individual and TVOCs in different sites from PCSWRF: background (A); tipping floor route/line one (B); tipping floor route/line two (C); conveyor belt line one (D); conveyor belt line two (E); manual separation line one (F); manual separation line two (G); baling machine (H); storage (I); office (J).

Fig. 6

The LTCRs of carcinogenic VOCs in the PCSWRF.

Table 1

TLV-TWA, RfD, CSF, and their carcinogenic classifications in IARC of recognized VOCs.

VOCsTLV-TWAa (mg/m3)RfDb (mg kg−1 day−1)SourceCSFc (mg−1 kg day)Group IARCd
Nonane1.1 × 1030.0003PPRTVe
Decane1PPRTV
Benzene1.7 × 10−30.0040 (Oral)gIRISf0.0551
Toluene2.1 × 1020.080IRIS
Ethylbenzene4.7 × 1020.10IRIS0.00872B
M,P-Xylene4.7 × 1020.20IRIS
O-Xylene4.7 × 1020.20IRIS
1,3,5-Trimethylbenzene1.3 × 1020.010PPRTV
1,2,4-Trimethylbenzene1.3 × 1020.070PPRTV
1,2,3-Trimethylbenzene1.3 × 1020.050PPRTV
1,2-diethyl benzene
1-ethyl-2-methyl Benzene
Limonene2.5h(1)h
1,4-diethyl benzene= appendix0.10.0110 Oral
Butyl benzene0.10 SubchroniciIRIS
2-methyl nonane
1-ethyl-3-methyl Benzene

TLV-TWA: Data provided by ACGIH.

RfD: Reference dose for chronic oral exposure; CSF: Cancer Slope factor (CSF obtained from IRIS).

IARC: International Agency for Research on Cancer.

PPRTV: Provisional Peer Reviewed Toxicity Values of IRIS.

IRIS: Integrated Risk Information system.

Human occupational inhalation study: Rothman,1996.

[10].

(0.50 Chronic p-RfD).

Table 2

Pearson's correlation between VOC concentrations based on average concentrations for all sites. Relationships between VOC concentrations and meteorological parameters are shown too.

ComponentsX1X2X3X4X5X6X7X8X9X10X11X12X13X14X15X16X17X18X19

X1r P-value1.422.224.807b.009.397.257.378.282.347.326.511.131.068.853.448.194.456.185.268.454.212.557.351.320.088.809.413.235.385.272.409.240-.450.192.194.592
X2r P-value.422.2241.334.380.435.209.408.242.432.213.299.402.594.070.319.369.286.424-.013.971.618.057.209.562.589.073.405.245-.240.505-.140.699.375.285-.351.321
X3r P-value.807b.009.334.3801.565.113.566.112.472.199.820b.007-.053.892.758a.018.693a.039.001.998.148.705.409.274-.038.922.506.164.274.475.208.591-.343.367.106.785
X4r P-value.397.257.435.209.565.1131.998b.000.988b.000.967b.000.809b.005.975b.000.973b.000.742a.014.852b.002.843b.002.807b.005.968b.000.562.091.315.376-.353.316-.113.755
X5r P-value.378.282.408.242.566.112.998b.0001.994b.000.970b.000.819b.004.980b.000.975b.000.735a.016.863b.001.862b.001.818b.004.977b.000.575.082.333.347-.381.277-.079.828
X6r P-value.347.326.432.213.472.199.988b.000.994b.0001.950b.000.865b.001.973b.000.955b.000.694a.026.907b.000.853b.002.865b.001.987b.000.525.119.312.379-.370.292-.044.905
X7r P-value.511.131.299.402.820b.007.967b.000.970b.000.950b.0001.673a.033.989b.000.994b.000.731a.016.755a.012.857b.002.676a.032.952b.000.669a.034.386.271-.547.102.024.947
X8r P-value.068.853.594.070-.053.892.809b.005.819b.004.865b.001.673a.0331.738a.015.687a.028.450.192.971b.000.717a.020.999b.000.844b.002.229.524.134.711.009.981-.181.616
X9r P-value.448.194.319.369.758a.018.975b.000.980b.000.973b.000.989b.000.738a.0151.990b.000.715a.020.812b.004.838b.002.743a.014.977b.000.612.060.380.279-.529.116.061.866
X10r P-value.456.185.286.424.693a.039.973b.000.975b.000.955b.000.994b.000.687a.028.990b.0001.747a.013.752a.012.843b.002.688a.028.948b.000.666a.036.413.236-.531.114.0001.000
X11r P-value.268.454-.013.971.001.998.742a.014.735a.016.694a.026.731a.016.450.192.715a.020.747a.0131.430.215.679a.031.448.194.680a.030.710a.022.549.100-.361.305-.031.932
X12r P-value.212.557.618.057.148.705.852b.002.863b.001.907b.000.755a.012.971b.000.812b.004.752a.012.430.2151.732a.016.974b.000.902b.000.230.522.130.720-.123.736-.051.889
X13r P-value.351.320.209.562.409.274.843b.002.862b.001.853b.002.857b.002.717a.020.838b.002.843b.002.679a.031.732a.0161.726a.017.872b.001.809b.005.401.251-.383.274-.139.702

X1:Benzene; X2: Toluene; X3: Ethyl Benzene; X4: M,P-Xylene; X5: O-Xylene; X6: Decane; X7: 1-ethyl-3-methyl Benzene; X8: 1,2,3-Trimethyl benzene; X9: 1,3,5-Trimethyl benzene; X10: 1,2,4-Trimethyl benzene; X11: 1,2-diethyl benzene; X12: 1-ethyl-2-methyl Benzene; X13: Limonene; X14: 1,4-diethyl benzene; X15: Butyl benzene; X16: 2-methyl nonane; X17: Nonane; X18: Temperature; X19: Humidity.

Correlation is significant at the 0.05 level (2-tailed).

Correlation is significant at the 0.01 level (2-tailed).

A diagram of sampling points in the PCSWRF. The percentage of detected VOCs based on frequency in different sampling sites: background (A); tipping floor route/line one (B); tipping floor route/line two (C); conveyor belt line one (D); conveyor belt line two (E); manual separation line one (F); manual separation line two (G); baling machine (H); storage (I); office (J). Box plot of VOC concentrations in different sampling locations in winter. Exposure indices (Ei) of individual and TVOCs in different sites of the PCSWRF: background (A); tipping floor route/line one (B); tipping floor route/line two (C); conveyor belt line one (D); conveyor belt line two (E); manual separation line one (F); manual separation line two (G); baling machine (H); storage (I); office (J). The hazard quotient (HQ) of individual and TVOCs in different sites from PCSWRF: background (A); tipping floor route/line one (B); tipping floor route/line two (C); conveyor belt line one (D); conveyor belt line two (E); manual separation line one (F); manual separation line two (G); baling machine (H); storage (I); office (J). The LTCRs of carcinogenic VOCs in the PCSWRF. TLV-TWA, RfD, CSF, and their carcinogenic classifications in IARC of recognized VOCs. TLV-TWA: Data provided by ACGIH. RfD: Reference dose for chronic oral exposure; CSF: Cancer Slope factor (CSF obtained from IRIS). IARC: International Agency for Research on Cancer. PPRTV: Provisional Peer Reviewed Toxicity Values of IRIS. IRIS: Integrated Risk Information system. Human occupational inhalation study: Rothman,1996. [10]. (0.50 Chronic p-RfD). Pearson's correlation between VOC concentrations based on average concentrations for all sites. Relationships between VOC concentrations and meteorological parameters are shown too. X1:Benzene; X2: Toluene; X3: Ethyl Benzene; X4: M,P-Xylene; X5: O-Xylene; X6: Decane; X7: 1-ethyl-3-methyl Benzene; X8: 1,2,3-Trimethyl benzene; X9: 1,3,5-Trimethyl benzene; X10: 1,2,4-Trimethyl benzene; X11: 1,2-diethyl benzene; X12: 1-ethyl-2-methyl Benzene; X13: Limonene; X14: 1,4-diethyl benzene; X15: Butyl benzene; X16: 2-methyl nonane; X17: Nonane; X18: Temperature; X19: Humidity. Correlation is significant at the 0.05 level (2-tailed). Correlation is significant at the 0.01 level (2-tailed).

Experimental design, materials, and methods

Study area

The capital of Iran is Tehran (35°32′42"N, 51°23′35"E) with around 13.31 million inhabitants according to a census report [2]. Measurements were specifically conducted at a PCSWRF. This factory has two lines of separation processes for paper and cardboard, including a tipping floor (line one and two), conveyor belt (line one and two), hand picking/manual separation (line one and two), and finally a baling machine (Fig. 1) (see Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6). About 3000 kg/day solid waste are transferred to this factory on a daily basis, comprised of paper and cardboard (more than 90%) and some other waste (lower than 10%) containing organic wastes, glass, aluminum, plastics, textiles, metals, leather, and wood. To date, 102 workers (88 in operational units and 14 in offices) have worked in this factory, which is 16000 m2 in area. In this factory, the weight of each package (bale) ranges between 1000 kg and 1700 kg, and bales are stored in the storage site. Most workers do not use personal protective equipment (PPE), including respirators or gloves.

Sampling and analysis

Sampling was carried out based on the U.S.EPA TO-15 method [1,3] and conducted over 2 h from 22 December 2017 to 20 February 2018 by active sampling (Low Flow Sample Pump 222 Series, SKC Inc.) with charcoal sorbent tubes (SKC Inc.) at a flow rate of 0.2 L min−1 [4,5]. Sampling was done at a height of 2 m in the PCSWRF. Before analysis, two charcoal beds in each tube (the back and front) were set into separate vials and the target pollutants were elicited by adding one ml CS2 [3]. Target pollutants were tested by GC-MS (GC 7890N, AGILENT- MS 5975C, MODE EI.MS). For the 10 sampling sites (Fig. 1), a total of 100 VOC samples were collected between December and February.

Statistical analysis

SPSS analytical software (Version 22.00) was used for statistical analysis. The Fligner-Killeen test was applied to check for homogeneity of variance. If the p-value obtained from the Fligner-Killeen test exceeded 0.05, the ANOVA test was performed for further analysis. But, if the p-value was less than 0.05, the Kruskal-Wallis test was applied for further analysis. Finally, if the Kruskal–Wallis test was significant, the Kruskal-Wallis post-hoc test (Kruskal Mac) was carried out to show that levels of the independent variable vary from other levels.

Health risk assessment for VOCs

For calculating inhalation lifetime cancer risk (LTCR) for VOC compounds, Eq. (1) was used, while Eq. (2) was applied to assess the non-carcinogenic risk or hazard quotient (HQ) for VOC compounds [[4], [5], [6], [7], [8]]. C and IR represent pollutant concentrations (μg/m3) and human inhalation rate (m3 day−1), respectively. ED and EF represent the exposure duration (year) and exposure frequency (days year−1), respectively. BW and AT are the body weight (kg) and the average lifetime (days), respectively. HQ, RfD and CSF are hazard quotient (mg kg−1 day−1), reference dose (mg kg−1 day−1) and cancer slope factor (mg kg−1 day−1)−1), respectively [9].

Specifications Table

SubjectEnvironmental Science
Specific subject areaEnvironmental air pollution and Health
Type of dataTable and Figure
How data were acquiredActive sampling (Low Flow Sample Pump 222 Series, SKC Inc.), GC-MS (GC 7890N, AGILENT- MS 5975C, MODE EI.MS)
Data formatAnalyzed
Parameters for data collectionSampling, extraction and analysis parameters are briefly described in this paper and fully provided in the related research article.
Description of data collectionData were collected using active sampling (SKC 222 Series Low Flow Pump) with a charcoal glass tube and using gas chromatography–mass spectrometry (GC-MS) (GC 7890N, AGILENT- MS 5975C, MODE EI.MS). An HP- 5MS column (60 m × 0.32 mm × 0.25 μm, Agilent Technologies,USA) was used.
Data source locationDescriptive data were obtained in a paper and cardboard solid waste recycling factory (PCSWRF) located in Tehran, Iran. Latitude: 35°32′42"N, longitude: 51°23′35"E.
Data accessibilityRepository name: Mendeley DataData identification number: https://doi.org/10.17632/jmtkhgxp9v and https://doi.org/10.1016/j.scs.2019.102005
Related research articleR. Nabizadeh, A. Sorooshian, M. Delikhoon, A. N. Baghani1, S. Golbaz, M. Aghaei, Characteristics and Health Effects of Volatile Organic Compound Emissions during Paper and Cardboard Recycling. Sustainable Cities and Society (SCS) (2019) [1], https://doi.org/10.1016/j.scs.2019.102005
Value of the data

The data could be used by researchers to further investigate risk assessment of workers' exposure to volatile organic compounds (VOCs) during paper and cardboard recycling in different regions.

The data could be applied by researchers to study photochemical aging and to find emission sources of VOCs.

The data provides valuable information on the relationships between VOC concentrations and meteorological parameters.

The data allows comparison between the concentration of VOC species in different areas of paper and cardboard solid waste recycling factory (PCSWRF).

  5 in total

1.  BTEX exposure assessment and quantitative risk assessment among petroleum product distributors.

Authors:  Behzad Heibati; Krystal J Godri Pollitt; Ali Karimi; Jamshid Yazdani Charati; Alan Ducatman; Mohammad Shokrzadeh; Mahmoud Mohammadyan
Journal:  Ecotoxicol Environ Saf       Date:  2017-06-27       Impact factor: 6.291

2.  Biomonitoring-based exposure assessment of benzene, toluene, ethylbenzene and xylene among workers at petroleum distribution facilities.

Authors:  Behzad Heibati; Krystal J Godri Pollitt; Jamshid Yazdani Charati; Alan Ducatman; Mohammad Shokrzadeh; Ali Karimi; Mahmoud Mohammadyan
Journal:  Ecotoxicol Environ Saf       Date:  2017-11-13       Impact factor: 6.291

3.  Characteristics and health effects of BTEX in a hot spot for urban pollution.

Authors:  Mansooreh Dehghani; Mehdi Fazlzadeh; Armin Sorooshian; Hamid Reza Tabatabaee; Mohammad Miri; Abbas Norouzian Baghani; Mahdieh Delikhoon; Amir Hossein Mahvi; Majid Rashidi
Journal:  Ecotoxicol Environ Saf       Date:  2018-03-03       Impact factor: 6.291

4.  BTEX in indoor air of beauty salons: Risk assessment, levels and factors influencing their concentrations.

Authors:  Abbas Norouzian Baghani; Roohollah Rostami; Hossein Arfaeinia; Sadegh Hazrati; Mehdi Fazlzadeh; Mahdieh Delikhoon
Journal:  Ecotoxicol Environ Saf       Date:  2018-05-03       Impact factor: 6.291

Review 5.  Safety evaluation and risk assessment of d-Limonene.

Authors:  Young Woo Kim; Min Ji Kim; Bu Young Chung; Du Yeon Bang; Seong Kwang Lim; Seul Min Choi; Duck Soo Lim; Myung Chan Cho; Kyungsil Yoon; Hyung Sik Kim; Kyu Bong Kim; You Sun Kim; Seung Jun Kwack; Byung-Mu Lee
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2013       Impact factor: 6.393

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.