Literature DB >> 29900204

Data on sorption of organic compounds by aged polystyrene microplastic particles.

Thorsten Hüffer1, Anne-Katrin Weniger1, Thilo Hofmann1.   

Abstract

This article contains data on experimental sorption isotherms of 21 probe sorbates by aged polystyrene microplastics. The polymeric particles were subjected to an UV-induced photo-oxidation procedure using hydrogen peroxide in a custom-made aging chamber. Sorption data were obtained for aged particles. The experimental sorption data was modelled using both single- and poly-parameter linear free-energy relationships. For discussion and interpretation of the presented data, refer to the research article entitled "Sorption of organic compounds by aged polystyrene microplastic particles" (Hüffer et al., 2018) [1].

Entities:  

Year:  2018        PMID: 29900204      PMCID: PMC5996293          DOI: 10.1016/j.dib.2018.03.053

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


Specifications Table Value of the data Sorption isotherm data for UV-aged polystyrene microplastic were determined for 21 molecular probe sorbates covering a broad spectrum of molecular substance classes. Modelling data provided information for the interpretation of molecular interactions between UV-aged polystyrene microplastics and organic compounds. Modelling data are valuable for the prediction of sorption by UV-aged polystyrene microplastics and allow a comparison with data from other aging processes and environmentally relevant polymers particles.

Data

Physico-chemical properties of the probe sorbates are given in Table 1. Fig. 1 shows sorption kinetics data of naphthalene by aged polystyrene microplastics (PSMP). Freundlich model fit data from sorption isotherms are shown in Table 2. A comparison of Freundlich fit model data between pristine and UV-aged polystyrene microplastics is given in Table 3. Data from statistical analyses of poly-parameter linear free-energy relationship model are shown in Table 4, Table 5, Table 6, Table 7. Single-parameter linear free-energy relationships for sorption of organic compounds by PS micro- and nanoplastics are given in Table 8. Fig. 2 visualizes the correlation between experimental distribution coefficients of probe sorbates by aged polystyrene microplastics and octanol-water partitioning coefficients.
Table 1

Probe sorbates, selected physico-chemical properties, and solute descriptors.a

Compoundlog Swblog Kawclog KowdESABVL
n-Hexane (nHex)0.981.733.900.000.000.000.000.9542.688
Isohexane (iHex)1.151.753.210.000.000.000.000.9542.503
Cyclohexane (cHex)1.740.783.440.310.100.000.000.8452.964
Dichloromethane (DCM)4.111.150.390.570.100.050.4942.019
Tetrachloromethane (TCE)2.90− 0.022.830.460.380.000.000.7392.823
Di-n-propyl ether (DPE)3.69− 0.972.030.010.220.000.451.0132.803
2-octanone (2ON)2.95− 1.98a2.370.110.680.000.511.2524.257
Hexanenitrile (HNT)3.39− 2.30a1.660.170.900.000.360.9683.513
1-nitrohexane (1NH)2.262.700.200.950.000.291.1284.416
2-octanol (2OL)3.052.900.160.360.330.561.2954.339
3-ethylhexanol-3 (3EH)3.172.690.200.300.310.641.1543.805
2,6-dimethylheptanol-2 (DMH)2.76− 2.30a3.110.130.270.310.601.4354.469
Benzene (BEZ)3.25− 0.652.170.610.520.000.140.7162.786
Toluene (TOL)2.72− 0.602.690.600.520.000.140.8573.325
Chlorobenzene (CBZ)2.70− 0.802.840.720.650.000.070.8394.230
Naphthalene (NAP)1.493.301.340.920.000.201.0855.161
Benzothiazole (BTZ)3.632.011.331.300.000.390.9695.522
Ethylbenzoate (EBT)2.86− 2.382.670.690.850.000.461.2145.075
4-nitrotoluol (4NT)2.65− 2.762.370.871.110.000.281.0325.154
1-naphthol (1NP)2.942.851.521.050.600.371.1446.284
2-chlorophenol (2CP)4.05− 3.242.150.850.880.320.310.8984.178

solute descriptors were obtained from Ref. [2].

Sw: aqueous solubility [mg L−1] at 25 °C from Ref. [3].

K: air-water partitioning constant [–] from Ref. [4] or calculated using a combination of Eq. (6)–(15) and (6)–(17) from ref [4]: .

K: octanol-water partitioning constant [–] from Ref. [3].

Fig. 1

Sorption kinetics of naphthalene by aged polystyrene microplastics.

Table 2

Data of the Freundlich Model fit to the experimental sorption isotherms.

CompoundKFnR2N
nHex1.19E+04 ± 7.87E020.89 ± 0.020.95615
iHex3.77E+03 ± 3.98E+021.11 ± 0.050.96915
cHex4.19E+02 ± 8.44E+011.17 ± 0.040.98913
DCM5.87E+01 ± 6.67E+000.92 ± 0.020.98114
TCM1.69E+02 ± 2.58E+011.10 ± 0.030.98515
DPE6.78E+01 ± 1.23E+011.01 ± 0.030.93615
2ON5.84E+01 ± 2.03E+011.07 ± 0.060.99915
HXN5.54E+01 ± 2.30E+010.90 ± 0.060.93515
1NH3.07E+02 ± 1.50E+020.92 ± 0.070.96810
2OL2.13E+02 ± 5.47E+010.92 ± 0.060.91710
3EH5.81E+01 ± 1.61E+010.80 ± 0.050.96714
DMH9.08E+01 ± 1.68E+010.81 ± 0.040.92414
BEZ2.54E+02 ± 5.25E+010.94 ± 0.030.97715
TOL3.37E+02 ± 7.68E+010.96 ± 0.030.92015
CBZ1.80E+03 ± 1.83E+020.83 ± 0.020.96115
NAP1.81E+03 ± 4.41E+021.02 ± 0.040.98712
BTZ2.65E+02 ± 6.42E+011.00 ± 0.040.96812
EBT1.20E+04 ± 3.50E+030.70 ± 0.040.95411
4NT3.15E+02 ± 1.70E+021.00 ± 0.070.98011
1NT6.72E+02 ± 2.21E+020.93 ± 0.050.9529
2CP3.78E+01 ± 1.37E+011.10 ± 0.050.94614

K: Freundlich coefficient; n: Freundlich exponent; R2 regression coefficient; N: number of data points.

Table 3

Comparison of Freundlich parameters obtained for pristine and aged polystyrene microplastic particles.

Pristine PS [5]
Aged PS [1]
SorbateKFnR2KFnR2
nHex14,643.20.7620.94111,906.5*0.891**0.911
cHex2566.60.7420.964734.7**0.999**0.909
BEZ800.30.8440.981265.5**0.931**0.920
CBZ3421.10.8100.9711695.0**0.902**0.961
NAP2333.30.9060.9361806.2*0.9990.917

p < 0.05.

p < 0.01.

Table 4

Parameters for ppLFER using ESABV descriptors.

CoefficientSEp-Value
e0.67080.16130.0008
s− 0.74910.20120.0020
a− 1.52780.43990.0034
b− 3.51580.4110< 0.0001
v2.86070.3012< 0.0001
c0.73650.25100.0102
Table 5

ANOVA for ppLFER using ESABV descriptors.

dfSSMSF-valueF-critical
Model57.9711.59445.1621.62E−08
Residue150.52950.0353
Total208.500
Table 6

Parameters for ppLFER using SABVL descriptors.

CoefficientSEp-Value
s− 0.101880.31550.0056
a− 1.42730.48630.0102
b− 3.60720.4556< 0.0001
v1.44810.57480.0236
l0.42520.12790.0046
c1.00890.29790.0041
Table 7

ANOVA for ppLFER using SABVL descriptors.

dfSSMSF-valueF-critical
Model57.8441.56935.8417,97E−08
Residue150.65650.0437
Total208.5000

All parameters were calculated at a 95% confidence level.

SE: standard error of estimates.

df: degrees of freedom.

SS: sum of squares.

MS: mean square.

Table 8

opLFER parameters for sorption organic compounds by polystyrene micro- and nanoplastics.

SorbentSorbatesopLFERAICRMSEN
Aged PS microplastics [1]Non-ionic organicsLog Kd = 0.35 ± 0.09 log Kow + 1.63 ± 0.24− 52.630.58621
Pristine PS microplastics [5]Non-polar organicsLog Kd = 0.92 log Kow + 0.31− 24.850.2197
Surface coated PS nanoplastics [6]PCBsLog Kd = 1.01 log Kow + 0.36− 69.460.56617
Surface coated PS nanoplastics [7]PAHLog Kd = 0.65 log Kow + 3.87− 38.390.1316

AIC: Akaike's Information Criterion; RMSE: root mean squared error; N: number of data points.

Fig. 2

Comparison between experimentally determined log Kd and calculated by opLFER using log K.; AIC: Akaike's Information Criterion; RMSE: root mean squared error; N: number of data points.

Sorption kinetics of naphthalene by aged polystyrene microplastics. Probe sorbates, selected physico-chemical properties, and solute descriptors.a solute descriptors were obtained from Ref. [2]. Sw: aqueous solubility [mg L−1] at 25 °C from Ref. [3]. K: air-water partitioning constant [-] from Ref. [4] or calculated using a combination of Eq. (6)–(15) and (6)–(17) from ref [4]: . K: octanol-water partitioning constant [-] from Ref. [3]. Data of the Freundlich Model fit to the experimental sorption isotherms. K: Freundlich coefficient; n: Freundlich exponent; R2 regression coefficient; N: number of data points. Comparison of Freundlich parameters obtained for pristine and aged polystyrene microplastic particles. p < 0.05. p < 0.01.

Statistical analyses of ppLFER

See Table 4, Table 5, Table 6, Table 7, Table 8 and Fig. 2. Comparison between experimentally determined log Kd and calculated by opLFER using log K.; AIC: Akaike's Information Criterion; RMSE: root mean squared error; N: number of data points. Parameters for ppLFER using ESABV descriptors. ANOVA for ppLFER using ESABV descriptors. Parameters for ppLFER using SABVL descriptors. ANOVA for ppLFER using SABVL descriptors. All parameters were calculated at a 95% confidence level. SE: standard error of estimates. df: degrees of freedom. SS: sum of squares. MS: mean square. opLFER parameters for sorption organic compounds by polystyrene micro- and nanoplastics. AIC: Akaike's Information Criterion; RMSE: root mean squared error; N: number of data points.

Experimental design, materials and methods

Materials

Polystyrene microplastics were purchased as a powder from Goodfellow Cambridge Ltd. (Huntingdon, UK.). The particles were sieved to a size fraction between 125 and 250 µm. The sorbates included apolar aliphatics, monopolar aliphatics, bipolar aliphatics, non-polar aromatics, monopolar aromatics, and bipolar aromatics (Table 1).

Aging of polystyrene microplastic particles

A custom-made aging chamber was used for particle aging. The particles were weighed into quartz glass petri dishes containing 50 mL of H2O2 (10 vol%). The samples were then irradiated for 96 hours using UV light (4*15 W UVC-bulbs, max. wavelength at 254 nm). The aged particles were washed with deionized water and dried prior to the sorption batch experiments.

Sorption experiments

20–60 mg of the sorbent particles were weighed into 20-mL amber headspace screw vials. 10 mL of 0.01 M CaCl2 was added as background solution. The vials were closed with screw caps with butyl/PTFE-lined septa and wrapped in aluminum foil. After shaking overnight at 125 rpm to pre-wet the sorbent, the samples were spiked with sorbate standard solutions (methanol did not exceed 0.5%, to avoid co-solvent effects). The vials were then shaken for 7 days at 125 rpm for equilibration at a temperature of 25 ± 2 °C. Equilibration was determined using naphthalene as a probe sorbate (Fig. 1). The vials were then placed on the tray of the autosampler at least 2 hours prior to analysis. The concentrations in the head space of the vials was measured with a GC–MS-system either using in-tube microextraction or direct injection of 500 µL of the headspace sample. The sorbed concentrations were calculated using a mass balance and the air-water partitioning constants of the sorbates (Table 1).

Data analysis

Distribution coefficients between the aqueous phase and the sorbent (K) [L/kg] were calculated for all sorbates at a constant sorbate loading on aged PSMP of 1000 µg/kg, using the Freundlich equation:where C [μg/kg] and C [μg/L] are the sorbed and aqueous concentrations of sorbates at equilibrium, respectively, and K [(μg/kg)/(μg/L)1/n] and n [-] are the Freundlich coefficient and exponent, respectively. Model parameters were obtained using Sigma Plot 12.0 software for Windows.

Declarations of interest

None.
Subject areaChemistry
More specific subject areaEnvironmental Chemistry
Type of dataTables, figures
How data was acquiredGC–MS (Agilent 7890A gas chromatograph coupled to a 5975C mass spectrometer equipped with ITEX2 option for CombiPal autosampler from Axel Semrau, Sprockhövel, Germany), Sigma Plot 12.0 (Windows) for model fits and statistical analyses
Data formatAnalyzed data
Experimental factorsPolystyrene microplastics were exposed to an UV-induced photo-oxidation procedure with H2O2
Experimental featuresSorption isotherms of 21 probe sorbates were performed using UV-aged polystyrene microplastics as sorbent
Data source locationVienna, Austria
Data accessibilityThe data are available within this article
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