Predicting the Sorption of Aromatic Acids to ... - ACS Publications

Mar 7, 2016 - dichlorophenoxy)acetic acid (2,4-D), 4-chloro-2-15 methylphenoxy)acetic acid (MCPA), 4-(2,4-dichlorophenoxy)- butanoic16 acid (2,4-DB), ...
2 downloads 0 Views 710KB Size
Subscriber access provided by NEW YORK UNIV

Article

Predicting the sorption of aromatic acids to non-carbonized and carbonized sorbents Gabriel Sigmund, Huichao Sun, Thilo Hofmann, and Melanie Kah Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.5b06033 • Publication Date (Web): 07 Mar 2016 Downloaded from http://pubs.acs.org on March 7, 2016

Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a free service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are accessible to all readers and citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.

Environmental Science & Technology is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.

Page 1 of 26

Environmental Science & Technology

1

Predicting the sorption of aromatic acids to non-

2

carbonized and carbonized sorbents

3

4

Gabriel Sigmund, Huichao Sun, Thilo Hofmann*, Melanie Kah*

5 6

University of Vienna

7

Department of Environmental Geosciences

8

Althanstrasse 14 UZA II, 1090 Vienna, Austria

9 10 11

* Corresponding authors:

12

Melanie Kah, e-mail: [email protected]; Tel.: (0043)-1-4277-53381.

13

Thilo Hofmann, e-mail: [email protected]; Tel.: (0043)-1-4277-53320.

ACS Paragon Plus Environment

Environmental Science & Technology

14

Abstract Art

15

ACS Paragon Plus Environment

Page 2 of 26

Page 3 of 26

Environmental Science & Technology

16

Abstract

17

Approaches based on the octanol-water partition coefficient are commonly used to describe

18

sorption of neutral organic compounds in environmental systems, but they are not suitable for

19

organic acids, which can dissociate to form anions. We here investigate the applicability of an

20

alternative approach based on the pH-dependent distribution ratio (DOW) to describe sorption of

21

aromatic acids to sorbents representing different degrees of carbonization.

22

Sorption isotherms for four structurally similar acids (2,4-D, MCPA, 2,4-DB, and triclosan) was

23

measured for 15 sorbents: fresh and carbonized wood shavings, pig manure, and sewage sludge;

24

carbon nanotubes and activated carbon. Dissociation greatly affected the sorption of all acids.

25

Sorption coefficients measured in the high pH range indicated that sorption of the anions ranged

26

over several orders of magnitude and should not be neglected. Sorption trends for all sorbates

27

and carbonized sorbents could be very well described by a single regression equation that

28

included DOW of the sorbate and the specific surface area of the sorbent (R2 > 0.89).

29 30

Keywords: biochar, activated carbon, carbon nanotubes, sewage sludge, manure, DOW, surface

31

area, carbonization

ACS Paragon Plus Environment

Environmental Science & Technology

32

1. Introduction

33

The sorption of nonpolar organic compounds to naturally occurring sorbents such as soils or

34

sediments is largely driven by the sorbent's total organic carbon content (TOC%) and takes place

35

mainly through non-specific interactions, including dispersive and solvophobic interactions.

36

Predictive approaches based on the sorption coefficient normalized to TOC% (KOC) and the

37

octanol-water partition coefficient (KOW) are therefore extensively used in the context of

38

chemical exposure assessment, remediation, and water treatment.

39

Carbonized materials such as, for example, soot or black carbon, typically comprise only a small

40

proportion of the soil or sediment matrix. They have, however, been shown to have a large

41

influence on the sorption of neutral compounds, even at small concentrations. Sorption isotherm

42

non-linearity typically increases with increasing degree of carbonization 1. Although KOW-based

43

approaches are useful for describing sorption to carbonized sorbents, additional parameters (e.g.,

44

sorbent specific surface area) may be necessary to account for sites available for adsorption 2,3.

45

Many contaminants, as well as molecules with important biological functions (e.g., info-

46

chemicals), are organic acids that dissociate to form anions within naturally occurring pH ranges.

47

Dissociation affects sorption and KOW-based approaches, which were initially developed for

48

neutral compounds, are thus inadequate for describing the sorption of organic acids 4. Previous

49

investigations into sorption of organic acids have demonstrated that the distribution ratio DOW is

50

a useful alternative to KOW to describe sorption to soils, as it takes into account the dissociation

51

of a compound

52

predict the sorption of organic acids to carbonized sorbents. As was previously noted for neutral

53

compounds, additional parameters may need to be considered in order to account for specific

54

adsorption mechanisms and provide a satisfactory description of sorption.

5,6

. It is not known, however, whether a DOW-based approach can be used to

ACS Paragon Plus Environment

Page 4 of 26

Page 5 of 26

Environmental Science & Technology

55

The sorption of dissociated organic acids (i.e., anions) to naturally occurring sorbents is typically

56

weaker than that of the respective neutral species 7, and is driven by more complex processes that

57

are not yet fully understood. For instance, electrostatic interactions are expected to occur and

58

sorption may be strongly influenced by factors that play only a minor role in the sorption of

59

neutral compounds, such as ionic strength and pH

60

increase sorption through charge screening and cation bridging 4,9, or reduce sorption through the

61

agglomeration of sorbent particles and consequent reduction in the surface area available for

62

adsorption 10. The sorption of anions to negatively charged surfaces is expected to be weak due

63

to electrostatic repulsion, but it may not necessarily be negligible due to the occurrence of cation

64

bridging and/or the strong, charge-assisted H-bonding that has recently been demonstrated to

65

occur between dissociated organic acids and O-containing functional groups on the surfaces of

66

carbonized sorbents 11.

67

The relative contribution of different sorption mechanisms is strongly dependent on the

68

particular combination of sorbate and sorbent-suspension, and is always challenging to

69

determine. For neutral aromatic sorbate it is nevertheless well accepted that non-specific

70

(ab)sorption dominates for non-carbonized organic carbon, and that adsorption interactions

71

significantly enhance interactions with carbonized sorbents (graphite-like structures allowing

72

specific interactions such as π-π electron interactions) 12. A dual-mode model combining a linear

73

partition model and a non-linear Langmuir model has been successfully applied to describe

74

sorption of neutral sorbates to mixtures of non-carbonized and carbonized sorbents

75

of dissociated organic acids may be significantly influenced by factors independent from degree

76

of carbonization (e.g., ionic strength), and it is not known whether the distinction between non-

77

carbonized and carbonized sorbents is relevant to the sorption of organic acids.

4,7,8

. An increase in ionic strength can either

ACS Paragon Plus Environment

13

. Sorption

Environmental Science & Technology

78

The overall aim of these investigations was to test the applicability of approaches previously

79

developed to describe the sorption of neutral compounds, and to adapt the approaches for organic

80

acids and carbonized sorbents, as necessary.

81

With this objective in mind, the sorption of a series of organic acids was measured on a carefully

82

selected series of sorbents covering a wide range of properties that would be expected to affect

83

the sorption of organic acids. Sorption data were combined with extensive characterization of the

84

sorbents in a comprehensive statistical analysis. The specific objectives were to (i) systematically

85

investigate the influence that inherent sorbent properties, including the pH of suspension and the

86

degree of carbonization, have on sorption, (ii) test whether the approaches used to describe

87

sorption of neutral sorbates may be adapted to describe the sorption of organic acids, and (iii)

88

identify key parameters that can be used for prediction purposes.

89

The sorbents considered represent a range in degree of carbonization, and include three fresh

90

feedstocks, a series of biochar (BC), carbon nanotubes (CNTs) and activated carbon (AC). The

91

effect of pH was investigated using the intrinsic pH of the sorbents, without artificial

92

modifications of pH, thereby avoiding changes of the sorbents composition and surface

93

chemistry.

94

Sorption batch experiments were performed with four structurally similar aromatic acids that

95

cover a range of dissociation constants (pKa). The selected sorbates are contaminants of concern

96

that are used in plant protection and personal care products: (2,4-dichlorophenoxy)acetic acid

97

(2,4-D), (4-chloro-2-methylphenoxy)acetic acid (MCPA), 4-(2,4-dichlorophenoxy)butanoic acid

98

(2,4-DB), and 5-chloro-2-(2,4-dichlorophenoxy)phenol (triclosan). The results obtained are thus

99

of direct environmental significance.

ACS Paragon Plus Environment

Page 6 of 26

Page 7 of 26

Environmental Science & Technology

100

2. Experimental

101

2.1 Chemicals

102

Standards of 2,4-D, MCPA, 2,4-DB, and triclosan with purities ≥ 97% were purchased from

103

Sigma Aldrich (Germany). Selected sorbate properties are presented in Table 1, including several

104

indices of hydrophobicity. By definition, the KOW concept only considers the partitioning of

105

neutral species between octanol and water; when dealing with ionizable compounds, DOW

106

provides a useful alternative to represent the change in hydrophobicity upon dissociation. When

107

P (octanol-water partition coefficient for the neutral species) and Pi (octanol-water partition

108

coefficient for the ionized species) are known, DOW can be calculated for a given pH 6:

109

‫ܦ‬ைௐ =

௉ା௉௜∗ଵ଴೛ಹష೛಼ೌ ଵାଵ଴೛ಹష೛಼ೌ

.

(1)

110

It should be noted, that Pi is not a constant value, as ion partitioning strongly depends on co-

111

existing ions, which makes the experimental determination of Pi challenging 6. In the absence of

112

experimental data, P and Pi can be estimated, for example using the SPARC online calculator

113

(ARChem, USA, see Table 1 and Table S-2 in the supporting information). The SPARC

114

calculator is based on linear solvation energy relationships to calculate P and Pi, but information

115

regarding the underlying theoretical model is limited and was previously identified as one of the

116

weaknesses of the software

117

(i.e., 0.03 M) was used for Pi calculations in SPARC. Higher ionic strength are expected in the

118

sorbent suspensions, especially for sorbents with high ash content, but there was no significant

119

difference between DOW values calculated for 0.03 M and for 0.20 M, and the DOW values

120

derived should thus well apply to the conditions of the batch experiments. The discrepancies

121

between experimental and predicted values for P (PEXP and PPRE values in Table 1) illustrate the

14

. In this study, the ionic strength corresponding to 0.01 M CaCl2

ACS Paragon Plus Environment

Environmental Science & Technology

Page 8 of 26

122

degree of uncertainty typically associated with such descriptors. Further development of both

123

experimental and predictive approaches have been identified as urgent objectives for further

124

research 5.

125

HPLC grade acetonitrile, acetic acid, and CaCl2 were purchased from Merck (Germany). Ultra-

126

filtrated water (Elix 5 Ultrapure Water Purification System) was used in the preparation of all

127

solutions. Table 1: Selected sorbate properties 2,4 – D

MCPA

2,4 – DB

triclosan

94-75-7

94-74-6

94-82-6

3380-34-5

Log PEXP 15

2.81

3.25

3.53

4.76

pKa 15

2.73

3.13

4.95

7.90

Log PPRE 16

2.94

2.77

3.47

5.41

Log Pi 16

-0.77

-0.96

-0.62

-0.57

Polarizability 16

19.31

19.29

22.97

27.40

CAS

Structure

CAS: Chemical Abstracts Service Registry Number, PEXP: experimentally determined octanol-water partition coefficient, pKa: dissociation constant, PPRE, Pi: predicted octanolwater partition coefficient of the neutral species and the anionic species, respectively. 128

2.2 Sorbents

129

A series of BCs were produced from softwood shavings (WS), pig manure (PM), and sewage

130

sludge (SS) obtained from the surroundings of Vienna (Austria). The feedstock materials were

131

dried at 50°C for 24 hours, and then sieved < 2 mm. The feedstocks were then placed in a closed

ACS Paragon Plus Environment

Page 9 of 26

Environmental Science & Technology

132

ceramic crucible in a muffle furnace and heated under restricted O conditions, with an initial

133

heating rate of 25°C/min up to 200°C, 350°C, or 500°C, maintained for 4 hours. Each BC is

134

herein designated by its feedstock (e.g., WS for wood shavings) followed by the pyrolysis

135

temperature (e.g., WS500 for WS pyrolyzed at 500°C). Three additional sorbents were

136

considered: a commercially available BC produced from cellulose fibers and grain husks at

137

600°C (refBC, Sonnenerde, Austria), an AC (Merck, Ref. no. 1.02518 Germany), and CNTs

138

(Baytubes, ref. nr. C150HP, Germany). All sorbents except CNTs were crushed, sieved, and the

139

fraction < 0.250 mm was used for experimentation. Hence a total of 15 sorbents comprising three

140

feedstock materials, ten BCs, AC and CNTs, were investigated and compared.

141

2.3 Sorbent characterization

142

The ash content was determined by weighing samples before and after heating at 750°C for 6

143

hours. The total C, H and N contents were determined using an elemental analyzer (Elementar

144

VarioMacro), the O content calculated by mass balance: O% = 100 - (C + H + N + ash). The

145

total organic carbon content (TOC%) was determined using a carbon analyzer equipped with a

146

solid-state infrared detector (LECO RC-612). Metal contents (i.e., Ca, Mg, Na, K, Al, Fe, Mn,

147

Si, Ti, P, Zn, Cu, Pb, Cr, Cd, and Ni contents) were measured using inductively coupled plasma

148

optical emission spectrometry (Perkin-Elmer ICP-OES Optima 5300 DV) following microwave-

149

assisted wet acid digestion with HNO3 and H2O2 17. Sorbent suspensions (2.5 g/L) in 0.01 M

150

CaCl2 were used for the pH measurement, in order to emulate the conditions for the sorption

151

experiments. The point of zero charge (PZC) was determined by an adaptation of the pH-drift

152

method described by Moreno-Castilla et al. 2000

153

Fourier transform infrared spectra (FTIR - Brunker Tensor 27) were measured with a resolution

154

of 4 /cm and 128 scans. BET specific surface areas and pore size distributions were derived from

18

(see ST1 in the supporting information).

ACS Paragon Plus Environment

Environmental Science & Technology

Page 10 of 26

155

N2 adsorption and desorption isotherms following outgassing overnight at 105°C. The N2 BET

156

specific surface area was calculated on the basis of 6 points in the relative pressure region P/P0 =

157

0.066 - 0.298 (Quantachrome Nova 2000 analyzer).

158

2.4 Sorption experiments

159

The standard batch equilibrium method

160

sorbents. Suspensions containing 1 - 50 mg sorbents in 20 - 80 mL 0.01 M CaCl2 were pre-

161

equilibrated overnight and spiked with one of the selected sorbates at concentrations 0.5 - 30

162

mg/L. Stock solutions were prepared in acetonitrile but added volumes were small enough (
80%) for different organic acids

410

and across a wide range of sorbents can be well described by an adaptation of the approaches

411

previously developed for neutral compounds, using log DOW instead of log KOW in order to take

412

into account the effect that dissociation has on sorption. Trends in sorption for a wide range of

, R² = 0.48 and differences between measured and predicted values exceeded five orders of

25,26

25

and triclosan

26

. A plot of measured

. Discrepancies could be partly, but not fully, explained by

ACS Paragon Plus Environment

Page 23 of 26

Environmental Science & Technology

413

carbonized sorbents covering a broad range in pH (4.9 - 11.3) could be well described using a

414

single regression equation with just two parameters: log DOW and the specific surface area.

415

Understanding sorption behavior is key to assess the environmental fate of organic acids, and to

416

the development of new sorbents; further research will therefore be required to evaluate the

417

applicability of the presented approach (i) to other organic acids (e.g., aliphatic or aromatic), (ii)

418

to other carbonized sorbents, and (iii) under more complex water chemistries (e.g., different

419

types of ions and natural organic matter).

420

Acknowledgements

421

The reference biochar was kindly provided by Sonnenerde Gerald Dunst Kulturerden GmbH and

422

the CNTs by Baytubes. Access to the SPARC online calculator was provided by ARChem, USA.

423

We are also grateful to Mikhail Borisover (Volcani Center, Israel) for constructive discussions.

424

Supporting Information Available

425

Parameters on sorbent characterization, predicted octanol-water partition coefficients and

426

isotherm fits with the Freundlich model. Measured isotherms, FTIR spectra, effect of ionic

427

strength and comparison of different models to predict sorption. This information is available

428

free of charge via the Internet at http://pubs.acs.org/.

429

Author information

430

Corresponding authors:

431

Melanie Kah, e-mail: [email protected]; Tel.: (0043)-1-4277-53381.

432

Thilo Hofmann, e-mail: [email protected]; Tel.: (0043)-1-4277-53320.

433

References

434

(1)

Cornelissen, G.; Gustafsson, Ö.; Bucheli, T. D.; Jonker, M. T. O.; Koelmans, A. A.; van

ACS Paragon Plus Environment

Environmental Science & Technology

435 436 437

Page 24 of 26

Noort, P. C. M. Extensive sorption of organic compounds to black carbon, coal, and kerogen in sediments and soils: mechanisms and consequences for distribution, bioaccumulation, and biodegradation. Env. Sci. Technol. 2005, 39 (18), 6881–6895.

438 439 440

(2)

Lehmann, J.; Joseph, S. Biochar for Environmental Management - Science, Technology and Implementation, 2nd ed.; Lehmann, J., Joseph, S., Eds.; Routledge: London Sterling VA, 2015.

441 442 443

(3)

Kah, M.; Zhang, X.; Jonker, M. T.; Hofmann, T. Measuring and modeling adsorption of PAHs to carbon nanotubes over a six order of magnitude wide concentration range. Env. Sci. Technol. 2011, 45 (14), 6011–6017.

444 445

(4)

Kah, M.; Brown, C. D. Adsorption of ionisable pesticides in soils. Rev. Env. Contam. Toxicol. 2006, 188, 149–217.

446 447 448

(5)

ECETOC. Environmental Exposure Assessment of Ionizable Organic Compounds Technical Report No. 123; European Centre for Ecotoxicology and Toxicology of Chemicals: Brussels, 2013.

449 450

(6)

Kah, M.; Brown, C. D. LogD: lipophilicity for ionisable compounds. Chemosphere 2008, 72 (10), 1401–1408.

451 452

(7)

Moreno-Castilla, C. Adsorption of organic molecules from aqueous solutions on carbon materials. Carbon 2004, 42 (1), 83–94.

453 454 455

(8)

Fang, S. F.; Pendleton, P.; Badalyan, A. Effects of surface functional groups of activated carbon on adsorption of triclosan from aqueous solution. Int. J. Environ. Technol. Manag. 2009, 10 (1), 36-45.

456 457 458 459

(9)

Fontecha-Camara, M. A.; Lopez-Ramon, M. V; Alvarez-Merino, M. A; Moreno-Castilla, C. Effect of surface chemistry, solution pH, and ionic strength on the removal of herbicides diuron and amitrole from water by an activated carbon fiber. Langmuir 2007, 23 (3), 1242–1247.

460 461

(10)

Cho, H.-H.; Huang, H.; Schwab, K. Effects of solution chemistry on the adsorption of ibuprofen and triclosan onto carbon nanotubes. Langmuir 2011, 27 (21), 12960–12967.

462 463 464

(11)

Ni, J.; Pignatello, J. J.; Xing, B. Adsorption of aromatic carboxylate ions to black carbon (biochar) is accompanied by proton exchange with water. Env. Sci. Technol. 2011, 45 (21), 9240–9248.

465 466

(12)

Keiluweit, M.; Kleber, M. Molecular-Level Interactions in Soils and Sediments: The Role of Aromatic π-Systems. Env. Sci. Technol. 2009, 43 (10), 3421–3429.

467 468

(13)

Schwarzenbach, R. P.; Gschwend, P. M.; Imboden, D. M. Environmental Organic Chemistry; John Wiley & Sons Inc, 2003.

469 470 471 472

(14)

Arp, H. P. H.; Droge, S. T. J.; Endo, S.; Goss, K. U.; Giger, W.; Hawthorne, S. B.; Mabury, S. A.; Mayer, P.; McLachlan, M. S.; Pankow, J. F.; et al. More of EPA’s SPARC online calculator-the need for high quality predictions of chemical properties". Environ. Sci. Technol. 2010, 44, 4400–4401.

473 474

(15)

National Institutes of Health - Health & Human Services. Hazardous Substances Data Bank (HSDB) http://toxnet.nlm.nih.gov/cgi-bin/sis/htmlgen?HSDB (accessed Oct, 2015).

475

(16)

ARChem. SPARC online calculator http://archem.us:8080/sparc-web/calc (accessed Jan,

ACS Paragon Plus Environment

Page 25 of 26

Environmental Science & Technology

476

2016).

477 478 479

(17)

Hossain, M. K.; Strezov, V.; Chan, K. Y.; Ziolkowski, A.; Nelson, P. F. Influence of pyrolysis temperature on production and nutrient properties of wastewater sludge biochar. J. Environ. Manage. 2011, 92 (1), 223–228.

480 481

(18)

Moreno-Castilla, C.; López-Ramón, M.; Carrasco-Marı́n, F. Changes in surface chemistry of activated carbons by wet oxidation. Carbon 2000, 38 (14), 1995–2001.

482 483 484

(19)

OECD. Guideline 106 for the testing of chemicals - Adsorption - Desorption Using a Batch Equilibrium Method; OECD Organisation for Economic Co-Operation and Development, 2000.

485 486

(20)

Rivera-Utrilla, J.; Bautista-Toledo, I. Bioadsorption of Pb (II), Cd (II), and Cr (VI) on activated carbon from aqueous solutions. Carbon 2003, 41, 323–330.

487 488 489

(21)

Cantrell, K. B.; Hunt, P. G.; Uchimiya, M.; Novak, J. M.; Ro, K. S. Impact of pyrolysis temperature and manure source on physicochemical characteristics of biochar. Bioresour. Technol. 2012, 107, 419–428.

490 491

(22)

Mukherjee, A.; Zimmerman, A. R. R.; Harris, W. Surface chemistry variations among a series of laboratory-produced biochars. Geoderma 2011, 163 (3-4), 247–255.

492 493 494

(23)

Mukome, F. N. D.; Zhang, X.; Silva, L. C. R.; Six, J.; Parikh, S. J. Use of chemical and physical characteristics to investigate trends in biochar feedstocks. J. Agric. Food Chem. 2013, 61 (9), 2196–2204.

495 496

(24)

Tülp, H.; Fenner, K.; Schwarzenbach, R. P.; Goss, K.-U. pH-dependent sorption of acidic organic chemicals to soil organic matter. Env. Sci. Technol. 2009, 43 (24), 9189–9195.

497 498 499 500

(25)

Kearns, J. P.; Wellborn, L. S.; Summers, R. S.; Knappe, D. R. U. 2,4-D adsorption to biochars: Effect of preparation conditions on equilibrium adsorption capacity and comparison with commercial activated carbon literature data. Water Res. 2014, 62C, 20– 28.

501 502 503

(26)

Zhu, X.; Liu, Y.; Luo, G.; Qian, F. Facile Fabrication of Magnetic Carbon Composites from Hydrochar via Simultaneous Activation and Magnetization for Triclosan Adsorption. Env. Sci. Technol. 2014, 48, 5840–5848.

504 505

(27)

Cao, X.; Harris, W. Properties of dairy-manure-derived biochar pertinent to its potential use in remediation. Bioresour. Technol. 2010, 101 (14), 5222–5228.

506 507 508

(28)

Li, M.; Liu, Q.; Lou, Z.; Wang, Y. Method to Characterize Acid-Base Behavior of Biochar: Site Modeling and Theoretical Simulation. Sustain. Chem. Eng. 2014, 2 (11), 2501–2509.

509 510 511

(29)

Zhang, P.; Sun, H.; Yu, L.; Sun, T. Adsorption and catalytic hydrolysis of carbaryl and atrazine on pig manure-derived biochars: impact of structural properties of biochars. J. Hazard. Mater. 2013, 245, 217–224.

512 513

(30)

Montes-Morán, M. A.; Suárez, D.; Menéndez, J. A.; Fuente, E. On the nature of basic sites on carbon surfaces: an overview. Carbon 2004, 42 (7), 1219–1225.

514 515

(31)

Kah, M.; Brown, C. D. Prediction of the adsorption of ionizable pesticides in soils. J. Agric. Food Chem. 2007, 55 (6), 2312–2322.

516

(32)

Lu, J.; Li, J.; Li, Y.; Chen, B.; Bao, Z. Use of rice straw biochar simultaneously as the

ACS Paragon Plus Environment

Environmental Science & Technology

517 518

Page 26 of 26

sustained release carrier of herbicides and soil amendment for their reduced leaching. J. Agric. Food Chem. 2012, 60 (26), 6463–6470.

519 520

(33)

Ji, L.; Chen, W.; Zheng, S.; Xu, Z.; Zhu, D. Adsorption of sulfonamide antibiotics to multiwalled carbon nanotubes. Langmuir 2009, 25 (19), 11608–11613.

521 522 523

(34)

Franz, M.; Arafat, H. A.; Pinto, N. G. Effect of chemical surface heterogeneity on the adsorption mechanism of dissolved aromatics on activated carbon. Carbon 2000, 38 (13), 1807–1819.

524 525 526

(35)

Franco, A.; Trapp, S. Estimation of the soil-water partition coefficient normalized to organic carbon for ionizable organic chemicals. Env. Toxicol. Chem. 2008, 27 (10), 1995– 2004.

527 528

(36)

Di Toro, D. M. A particle interaction model of reversible organic chemical sorption. Chemosphere 1985, 14 (10), 1503–1538.

529 530

ACS Paragon Plus Environment