Extraction and Analysis of Silver and Gold ... - ACS Publications

Nov 12, 2013 - Environmental Laboratory, U.S. Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, Mississippi. 39180 ...
1 downloads 0 Views 1MB Size
Subscriber access provided by University of Virginia Libraries & VIVA (Virtual Library of Virginia)

Article

Extraction and Analysis of Silver and Gold Nanoparticles from Biological Tissues Using Single Particle Inductively Coupled Plasma Mass Spectrometry Evan P. Gray, Jessica Coleman, Anthony J Bednar, Alan James Kennedy, James F. Ranville, and Christopher P. Higgins Environ. Sci. Technol., Just Accepted Manuscript • Publication Date (Web): 12 Nov 2013 Downloaded from http://pubs.acs.org on November 15, 2013

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 24

1 2 3 4

Environmental Science & Technology

Extraction and Analysis of Silver and Gold Nanoparticles from Biological Tissues Using Single Particle Inductively Coupled Plasma Mass Spectrometry

5 6

Evan P. Gray†, Jessica G. Coleman††, Anthony J. Bednar††, Alan J. Kennedy††, James F.

7

Ranville§, Christopher P. Higgins†*

8

†Colorado School of Mines, Department of Civil and Environmental Engineering, 1500 Illinois

9

St., Golden, Colorado, USA 80401.

10

††U.S. Army Engineer Research and Development Center, Environmental Laboratory, 3909

11

Halls Ferry Road, Vicksburg, Mississippi, USA 39180

12

§Colorado School of Mines, Department of Chemistry and Geochemistry, 1500 Illinois St.

13

Golden, Colorado, USA 80401

14

KEYWORDS

15

TMAH, Bioaccumulation, D. magna, L. variegatus, nanoparticle

16

ABSTRACT

17

Expanded use of engineered nanoparticles (ENPs) in consumer products increases potential for

18

environmental release and unintended biological exposures. As a result, measurement techniques

19

are needed to accurately quantify ENP size, mass, and particle number distributions in biological

20

matrices. This work combines single particle inductively-coupled plasma mass spectrometry

21

(spICPMS) with tissue extraction to quantify and characterize metallic ENPs in environmentally

ACS Paragon Plus Environment

1

Environmental Science & Technology

Page 2 of 24

22

relevant biological tissues for the first time. ENPs were extracted from tissues via alkaline

23

digestion using tetramethylammonium hydroxide (TMAH). Method development was performed

24

using ground beef and was verified in Daphnia magna and Lumbriculus variegatus. ENPs

25

investigated include 100 and 60 nm Au and Ag stabilized by polyvynylpyrrolidone (PVP). Mass-

26

and number-based recovery of spiked Au and Ag ENPs was high (83-121%) from all tissues tested.

27

Additional experiments suggested ENP mixtures (60 and 100 nm Ag ENPs) could be extracted

28

and quantitatively analyzed. Biological exposures were also conducted to verify the applicability

29

of the method for aquatic organisms. Size distributions and particle number concentrations were

30

determined for ENPs extracted from D. magna exposed to 98 µg/L 100 nm Au and 4.8 µg/L 100

31

nm Ag ENPs The D. magna nanoparticulate body burden for Au uptake was 613 ± 230 µg/kgww,

32

while the measured nanoparticulate body burden for D. magna exposed to Ag ENPs was 59 ± 52

33

µg/kgww. Notably, the particle size distributions determined from D. magna tissues suggested

34

minimal shifts in the size distributions of ENPs accumulated, as compared to the exposure media.

35

Introduction

36

The increased use of engineered nanoparticles (ENPs) in consumer products has raised concerns

37

over the environmental fate, potential toxicity, and overall risk these materials pose to both

38

environmental and human systems [1,2,3]. Release routes of ENPs into environmental systems

39

include waste disposal via landfill or via sewage treatment plants (solids or effluent), in addition

40

to direct environmental releases such as spills or weathering of ENP containing products (paints,

41

etc.) [3]. When released to wastewater, probabilistic flow modeling indicates that ENPs will

42

largely be removed to the sludge phase while a smaller fraction will be released in the effluent

43

[4,5,6]. Subsequent disposal of ENP-bearing sewage treatment plant sludge (i.e., biosolids) as

44

crop fertilizer is of concern as a potential ENP environmental release pathway [5].

ACS Paragon Plus Environment

2

Page 3 of 24

Environmental Science & Technology

45

The effects associated with ENP exposure are currently the subject of much research. ENPs

46

have the potential to elicit a toxic response from their elemental composition, their specific size

47

[7], or their reactivity, especially through the formation of reactive oxygen species.

48

early toxicity testing of ENPs has been plagued by the lack of clear characterization and

49

quantification of ENPs during the exposures, including assessing the relative impacts of the

50

nanoparticulate and dissolved fractions of metals [8]. This inability to differentiate the form of a

51

measured body burden (dissolved metal or ENP) in addition to the lack of characterization

52

techniques for determining the aggregation state of the ENPs in tissues has limited robust scientific

53

conclusions. The need to measure ENPs in tissues, specifically, the size distribution and particle

54

number concentration (in addition to mass concentration), has been identified as a pressing need

55

[7,9]. Despite the lack of appropriate methodology, the generally accepted approach is to use

56

concurrent ENP and dissolved exposures to help identify ENP-specific effects [10,11,12].

However,

57

The most common ENP sizing technique used for aqueous ENP dispersions is dynamic

58

light scattering (DLS) [13], though other techniques, such as nanotracking analysis (NTA) or

59

electron microscopy (EM) are also used [14]. EM allows particle size distributions to be obtained,

60

but sample preparation makes quantitative assessments of particle number and mass distributions

61

difficult [13]. These techniques are limited by requiring high concentrations (mg/L) to effectively

62

analyze unknown samples [13,17,18] and their non-specificity for the target ENP. As detection of

63

particles in mixtures can be problematic, separation techniques such as field flow fractionation

64

(FFF), capillary electrophoresis, and hydrodynamic chromatography [1,19,20] have been

65

employed to analyze polydisperse samples. Separation techniques impart a dilution factor which

66

can make environmental sample analysis challenging [21]. While sensitive detectors, such as

67

inductively coupled plasma mass spectrometry (ICP-MS), can be employed to counteract dilution,

ACS Paragon Plus Environment

3

Environmental Science & Technology

Page 4 of 24

68

detection limits are still above predicted environmental concentrations (greater than 5 µg/L) [21].

69

At present, the only technique currently capable of determining particle size and number and mass

70

concentration for ENP-containing samples at or below 10 µg/L is single particle ICP-MS

71

(spICPMS) [22]. Initial development of spICPMS was performed by Deguelder et al. [23] and

72

further method refinement has continued [24,25,26,27]. As spICPMS is based on introducing

73

individual ENPs into the ICP-MS plasma, this technique requires dilute solutions, and is thus most

74

applicable in the low to mid ng/L range, making it ideal for environmental ENP sample analysis

75

[13,26]. The main drawback of spICPMS is the size limit of ENP identification, which is currently

76

approximately 20 nm for Au and Ag ENPs, but depends on instrument sensitivity and the ionic

77

background for the metal of interest [24,25].

78

While detection of ENPs in environmental samples and test media (external dose) using

79

spICPMS is possible, the extraction of ENPs from tissues can provide direct determination of

80

organism internal dose, and is essential for exposures in matrices where ENP concentrations are

81

difficult to determine [7]. Traditional digestion using strong acids likely leads to the dissolution

82

of most ENPs. The medical community conducted initial tests on non-acidic digestion using

83

enzymes or strong bases for extracting metallic and non-metallic colloids from tissues [28,29].

84

Enzymatic digestions would only facilitate ENP extraction where enzyme function does not

85

require low pH, such as pepsin [29]. For example, an enzymatic digestion was developed using

86

Proteinase K for the extraction of Ag ENPs from chicken tissue [30]. This digestion had a recovery

87

of around 80% using asymmetrical field flow fractionation (AF4) -ICP-MS, however this recovery

88

was reduced to 68% when using spICPMS. Alkaline digestions focus on sodium hydroxide

89

(NaOH), potassium hydroxide (KOH) and tetramethylammonium hydroxide (TMAH) [28,29,31]

90

to liberate ENPs from tissues. TMAH was also shown to have high extraction efficiency for

ACS Paragon Plus Environment

4

Page 5 of 24

Environmental Science & Technology

91

dissolved metals [31], while NaOH and KOH generally cause particle aggregation [28,29]. In a

92

related study, Schmidt et al [32] used TMAH in the extraction of ENPs from liver tissue, but was

93

unable to identify particle size or number concentration using FFF-ICP-MS analysis.

94

The objective of this work was to combine the sensitivity of spICPMS with a tissue

95

extraction procedure to quantify ENPs in environmentally-relevant biological tissues.

96

Specifically, this study quantitatively describes the extraction of ENPs spiked into representative

97

mammalian tissue (ground beef), as well as two types of biological tissues commonly employed

98

in environmental toxicity testing, Daphnia magna (D. magna) and Lumbriculus variegatus (L.

99

variegatus). Extraction efficiencies, size distributions, and tissue concentrations (number and

100

mass) were assessed. The applicability of this technique to resolve both ENP mixtures and

101

dissolved elements from ENPs was evaluated. Lastly, the validated method was applied to

102

ENP=exposed D. magna to confirm the ability of the procedure to liberate and characterize

103

bioaccumulated ENPs.

104

Materials and Methods

105

Materials

106

Gold and silver ENPs used in spike recovery and uptake experiments were purchased from

107

nanoComposix (San Diego CA, USA) with polyvinylpyrrolidone (PVP) coatings in sizes of 100

108

nm for Au and 100 and 60 nm for Ag (NanoXact). Additionally, 100 nm Au particles with surface

109

associated tannic acid were purchased from BBI (Cardiff, UK) to determine the daily ICP-MS

110

transport efficiency. Dissolved Au and Ag standards (CertiPrep) were purchased from SPEX

111

(Metuchen NJ, USA). Optima grade hydrochloric (HCl) and nitric acid (HNO3) for Au and Ag

112

standard preparation was purchased from Fisher Scientific (Fairlawn NJ, USA).

113

extractions were performed using TMAH (electronic grade, 25% w/w) purchased from Alfa Aesar

Alkaline

ACS Paragon Plus Environment

5

Environmental Science & Technology

Page 6 of 24

114

(MA, USA).

ACS grade ethylenediaminetetraacetic acid (EDTA) was purchased from

115

Mallinkrodt (Paris KY, USA). All solutions and dilutions in this work were made using Barnstead

116

Nanopure water (18 MΩ, Barnstead Nanopure Diamond, ultrapure water system).

117

Single Particle ICP-MS

118

Analysis of biological extracts and aqueous samples using spICPMS followed the method

119

described by Pace et al. [25,26]. All samples were analyzed using a Perkin Elmer NexION 300q

120

ICP-MS (Waltham MA, USA) equipped with a Meinhard Type (Type A, glass) nebulizer (Golden

121

CO, USA) and a Perkin Elmer cyclonic spray chamber (Waltham MA, USA).

122

calibration was achieved using a blank and at least four Au and Ag standards ranging from 0.1 to

123

2 µg/L. All data were collected in single particle mode, with signals averaged for the entire

124

analysis period (200 s). ICP-MS nebulization efficiency was calculated daily using the particle

125

size method [26] using a 100 nm Au ENP (BBI) and ranged from 4-6% for all experiments

126

described herein. The dwell time for all spICPMS measurements was 10 ms based on literature

127

reported optimization [33] and 20,000 readings were collected for each sample resulting in a total

128

analysis time per sample of 200s. Standard deviations for recovery, total mass determination and

129

body burdens were calculated from triplicate samples with the exception of ENP-exposed D.

130

magna body burdens, which were calculated from four replicate samples. Background signal

131

corresponding to dissolved elements was removed from size distribution plots by identifying the

132

minima between the resolved background and the ENP distribution. For visual data representation

133

of ENP size distributions, readings from analytical replicates were combined, with the resultant

134

figures representing 60,000 data points (with the exception of ENP=exposed D. magna body

135

burden size distributions, which include 80,000 data points).

Instrument

136

ACS Paragon Plus Environment

6

Page 7 of 24

Environmental Science & Technology

137

Sample Extraction Procedure

138

All ENP tissue extraction method development was conducted using 93% lean ground beef

139

purchased from a local market. Extraction of Au and Ag ENPs was optimized for ENP number

140

and mass recovery by varying sample digestion time, TMAH digestion concentration, and sample

141

cleanup procedures. Recovery was calculated by comparing the observed ENP number and mass

142

distributions of an extracted sample to the same ENP analyzed in DI water. Total metal analysis

143

was performed to confirm that aqueous standards represented total metals extraction (described

144

below). Particle number distributions were determined directly by counting all ENPs observed in

145

a sample, while ENP mass distributions were determined by integrating the observed counts.

146

These counts were then converted to mass following the procedure outlined by Pace et al. [25,26].

147

Initial sample digestion times were varied between 12 and 24 hours, while TMAH

148

digestion concentrations included 5, 10, 15, 20 and 25% w/w (only data for 20% TMAH shown).

149

Low gravity centrifugation (100 relative centrifugal force Fisher Scientific Model 228) and coarse

150

filtration (1 µm Whatman nylon) and simple dilution were all tested as sample clean-up steps. All

151

tissue samples were bath sonicated (Fisher Scientific FS140D, 135 W) for one hour at the start of

152

each digestion to aid in breaking down tissue and preventing particle aggregation. Sample

153

digestion mass was held constant at 0.5 g tissue with 10 ml of TMAH solution for beef and L.

154

variegatus (20:1 solvent to tissue), while D. magna digestion mass was much lower with 5 D.

155

magna (approx. 1.75 mg) per digestion. Digested samples were diluted a minimum of 1:20 to

156

produce a final maximum TMAH concentration of 1%, which was maintained in cases where

157

additional dilutions were performed.

158

ACS Paragon Plus Environment

7

Environmental Science & Technology

Page 8 of 24

159

Method Validation Spike Recovery Experiments

160

Initial method development indicated that 24-hour digestion with a 20% TMAH solution at room

161

temperature and only sample dilution cleanup yielded the highest recoveries. Specifically, 20%

162

TMAH was chosen after optimization testing for both Au and Ag ENPs using a variety of TMAH

163

concentrations. Recovery determinations between filtration (1 µm nylon), centrifugation, and

164

simple dilution were made qualitatively by comparing the observed number of ENPs for each

165

cleanup step. Significant losses of ENPs were observed using filtration and centrifugation, similar

166

to previous work [30,34]. Simple dilution provided the highest relative recovery and was thus used

167

for further experiments. Spike recovery experiments were conducted at 98 µg/kg wet weight (ww)

168

for Au ENPs and 19 µg/kgww for Ag ENPs by diluting stocks (concentrations verified by traditional

169

ICP-MS analysis) prior to pipetting ENP solutions onto beef samples in 15 ml polypropylene tubes.

170

Tissue spiking concentrations were purposefully selected to be environmentally relevant while

171

simultaneously still allowing spICPMS analysis to be performed. TMAH was added to beef

172

samples immediately after each ENP spike. Au and Ag ENPs in extracts were diluted at least 1 to

173

20 prior to spICPMS analysis. As biological samples from ENP-exposed organisms are unlikely

174

to undergo immediate extraction and analysis, the issue of sample preservation was evaluated by

175

freezing spiked beef samples for seven days and comparing “fresh” vs. “aged” samples. For spike

176

recovery experiments involving L. variegatus and D. magna tissues, spiked tissue concentrations

177

in D. magna were 2.2 mg/kgww for Au ENPs and 420 µg/kgww for Ag ENPs. L. variegatus spiked

178

tissue concentrations were lower at 98 µg/kgww for Au ENPs and 19 µg/kgww for Ag ENPs.

179

Statistical differences (p < 0.05) between tissue types were determined using an ANOVA followed

180

by a post hoc Tukey Test (Origin, V9.0, OriginLab, Northampton, MA, USA).

181

ACS Paragon Plus Environment

8

Page 9 of 24

Environmental Science & Technology

182

Complex Sample Analysis

183

TMAH extraction coupled to spICPMS was tested using samples spiked with 60 and 100 nm ENPs

184

and samples spiked with Ag+ and Ag ENPs. Mixture experiments were conducted using 60 and

185

100 nm Ag ENPs spiked into tissue samples at equivalent nominal particle number concentrations

186

(1.8 x 1010 particles/kgww). Dissolved Ag was spiked into tissues at a concentration of 40 µg/kgww.

187

Two types of dissolved Ag experiments were conducted, one in which only dissolved Ag was

188

added to the tissue (40 µg/kgww) and one in which both dissolved and 100 nm Ag ENPs were added

189

(40 µg/kgww Ag+ and 19 µg/kgww Ag ENPs). All experiments were conducted in triplicate.

190

Biological Uptake Experiments

191

As spike recovery experiments do not reflect the actual conditions following ENP exposure,

192

additional experiments with exposed organisms were conducted with D. magna. Briefly, D.

193

magna uptake experiments were conducted following EPA 2021.0 [35], with slight modifications.

194

D. magna adults were used instead of neonates to provide sufficient tissue mass for digestion and

195

analysis. All adult D. magna were obtained from Aquatic Bio Systems (Fort Collins, CO, USA).

196

Test beakers contained 25 mL of EPA moderately hard water [35] fortified with the appropriate

197

mass of ENPs and five D. magna. Four replicate beakers were used per treatment. Uptake of Au

198

ENPs was conducted at 98 µg/L (9.7 x 109 particles L-1), while uptake of Ag ENPs was conducted

199

at 4.8 µg/L (8.7 x 108 particles L-1). Test duration was 48 hours with a 16:8 hour light:dark

200

photoperiod at 20°C. D. magna were briefly washed in 20mM EDTA post exposure to remove

201

any surface associated metal ions prior to TMAH digestion, but were not depurated post exposure.

202

Water samples were taken at 0, 12, 24, 36 and 48 hours from each exposure chamber to monitor

203

potential changes in ENP exposure during testing. Water samples were frozen at -80°C upon

ACS Paragon Plus Environment

9

Environmental Science & Technology

Page 10 of 24

204

collection, but were thawed to room temperature immediately prior to dilution in water and

205

spICPMS analysis.

206

Total metals determination

207

To enable comparison between this technique and a total metals digestion, microwave digestion

208

was performed using a MARS 6 microwave digestion system (CEM Corporation, Matthews NC).

209

The digestion procedure was a modified EPA 200.2 [35] to accommodate high pressures. Ramp

210

time was 15 min followed by a hold time of 30 min at 175 oC. Tissue mass (0.5 g) and spike

211

concentrations (98 µg/kgww Au and 19 µg/kgww Ag) were identical to TMAH spike recovery

212

experiments. Concentrated HNO3 (9 ml) and concentrated HCl (3 ml) was added to Au ENP

213

containing samples, while only 12 ml of HNO3 was added to Ag ENP containing samples to avoid

214

AgCl formation. Samples were predigested overnight prior to microwave digestion.

215

Bioaccumulation metrics

216

While biodynamic models of ENP uptake are likely to provide the most accurate estimates of ENP

217

bioaccumulation [36,37], to enable comparisons of Au and Ag ENP bioaccumulation from

218

aqueous exposures, the bioconcentration factor (BCF) was calculated:

219

𝐵𝐶𝐹 =

𝐶𝑜𝑟𝑔𝑎𝑛𝑖𝑠𝑚 ⁄𝐶 𝑤𝑎𝑡𝑒𝑟

220

with Corganism expressed as µg/kgww and Cwater as µg/L, resulting in a BCF with units of L/kgww.

221

Measured (as opposed to nominal) Cwater values were employed. This approach assumes steady

222

state, which is not necessarily a valid assumption [7,38], but at present, may be a useful metric for

223

comparing bioaccumulation across several studies [39].

224

ACS Paragon Plus Environment

10

Page 11 of 24

Environmental Science & Technology

225

Results and Discussion

226

Method Performance in Model Mammalian Tissues

227

The TMAH tissue extraction method coupled to spICPMS analysis was effective at quantitatively

228

identifying 100 nm Au and Ag ENPs spiked into ground beef spiked at 98 µg/kgww Au and 19

229

µg/kgww Ag (Table 1). When compared to ENPs analyzed in water, recovery of Au ENPs on a

230

particle number basis was 94 ± 3% (± standard deviation), while recovery based on the total mass

231

was 89 ± 3% (Table 1). Similarly, the number-based recovery of Ag ENPs extracted from beef

232

was 95 ± 2%, while the total mass-based recovery was 104 ± 2% (Table 1). The minor

233

discrepancies between the two metrics may be a result of slight changes in ENP size of either the

234

extracted ENP or its reference standard (prepared in DI water). Despites this, the TMAH extraction

235

process did not lead to observable alterations (< 5 nm) in the size distributions of either Au or Ag

236

ENPs when compared to ENPs analyzed in water (Figure 1). No consistent bias in recovery based

237

on ENP number as compared to ENP mass was observed between tissue types (Tables S2, S3).

238

Particle mass-based recoveries do appear to be higher for Ag ENPs as compared to Au ENPs for

239

all tissue types tested. Ag ENP recoveries on a mass basis are all over 100%, which was likely

240

caused by a change in the Ag ENP reference standard (prepared in DI water). Figure S3 shows

241

that for all tissue types tested, less Ag mass (~ 3.5%; 2 nm smaller diameter) was detected for the

242

ENP standard as compared to the tissue-extracted ENPs. This unintended dissolution of Ag ENP

243

reference standards illustrates the need to ensure reference standards are stable with respect to

244

dissolution. Stabilization can be achieved through the addition of surfactants and/or other

245

alterations of solution chemistry that prevent dissolution [40].

246

ACS Paragon Plus Environment

11

Environmental Science & Technology

Page 12 of 24

Table 1. Particle number and particle mass based recoveries of 100 nm Au and Ag ENPs extracted from different biological tissues using TMAH. Beef and L. variegatus were spiked at 98 µg/kgww Au while Ag was spiked at 19 µg/kg ww. D. magna were spiked at 2.2 mg/kgww Au and 0.42 mg/kg ww Ag. Tissue Matrix Ground Beef 7 Day Frozen Beef D. magna L. variegatus Ground Beef 7 Day Frozen Beef D. magna L. variegatus

Particle Number Recovery % ±SD Au 94 ± 3 90 ±4 95 ±2 95 ±3 Ag 94 ±2 106 ±2 83 ±5 95 ±3

Particle Mass Recovery % ±SD 89 ±3 88 ±2 92 ±2 95 ±3 104 ±2 121 ±4 105 ±8 107 ±7

Figure 1. Au ENPs analyzed in H2O and TMAH extracted from beef (A). Ag ENPs analyzed in H2O and TMAH extracted from beef (A). Tissue concentration were 98 µg/kgww for Au ENPs and 19 µg/kgww for Ag ENPs. Percent readings and peak mode (Readings, % , Mode, nm) are (8.5, 100), (7.9, 98), (9.9,87), (9.4, 92) for Au H2O, Au Beef, Ag H2O, Ag Beef. 247

Matrix spike experiments in beef indicate that the 20% TMAH digestion maintaining a

248

ratio of at least 20:1 (solution to tissue mass) is a highly efficient extraction procedure when

249

coupled to spICPMS. Recoveries observed in all spiking experiments were all within the 75-125%

250

range for the development of extractions for which there is no historical record of recovery values

251

[41]. Recovery was reported on a traditional mass basis, and also on a particle number basis, as

252

this metric (in addition to size distribution) are likely just as (if not more) important for

ACS Paragon Plus Environment

12

Page 13 of 24

Environmental Science & Technology

253

understanding ENP biological interactions [39]. In an enzymatic digestion procedure, Loeschner

254

et al [30] reported AF4–ICP-MS recovery of around 80%, however, spICPMS recovery was 68

255

±13% as compared to AF4–ICP-MS recovery.

256

(comparison to a total metal digestion), and as such total recoverable Ag may be well below 80%

257

using enzymatic digestion.

No total Ag recovery values are reported

258

Extraction of ENPs from tissues is likely dependent on ENP tissue concentration in

259

exposed organisms. Spike recovery tests in this work were performed at 98 to 19 µg/kgww and are

260

three orders of magnitude lower than the tissue concentration of 197 mg/kgww used in enzymatic

261

digestion by Loeschner et al [30]. Both techniques diluted samples to ng/L concentrations after

262

aqueous based digestion prior to analysis. Digestion at 197 mg/kgww is well above predicted

263

environmental concentrations, but was intended to reflect possible food contamination rather than

264

environmental exposure. In contrast, the TMAH digestion procedure described in this work is

265

effective at extracting ENPs spiked into tissues at lower, more environmentally relevant

266

concentrations (i.e., down to 19 µg/kgww). Despite differences in digestion tissue concentration,

267

neither digestion procedure altered the primary size distribution of the ENPs.

268

Complex Samples and Matrices

269

Alkaline tissue digestion for Au ENPs was previously attempted in the literature, with extracts

270

being analyzed using FFF- ICP-MS [32]. FFF-ICP-MS was capable of baseline separation of a 60

271

and 100 nm ENPs in a 25% TMAH solution with bovine serum albumin present. However, no

272

separation of 60 and 100 nm ENPs was observed when analyzing rat livers using the same

273

extraction and analysis procedure. In this work, resolution of a mixture of 60 and 100 nm Ag ENPs

274

extracted from tissues using TMAH was nearly baseline and observed peak shapes were nearly

275

identical to the 60 and 100 nm Ag ENPs run individually in water (Figure 2). These results suggest

ACS Paragon Plus Environment

13

Environmental Science & Technology

276

Page 14 of 24

Figure 2. Overlay of 60 and 100 nm Ag ENPs (PVP) analyzed in water (A) compared to 60 and 100 nm Ag ENPs extracted simultaneously from ground beef (B).

277

that spICPMS is a better detection technique for ENP analysis as compared to FFF-ICP-MS for

278

TMAH-based extraction of complex tissues if metal core particle size is the desired endpoint,

279

provided the ENPs extracted are within the spICPMS analytical range. AF4 separation coupled to

280

ICP-MS can easily separate mixtures, even after tissue digestion [30].

281

hydrodynamic diameter of the particles, which can provide useful information on transformation

282

or accumulation of surface coatings on the metal particle core. Non-ideal particle-membrane

283

interactions during AF4 separations, may prevent accurate sizing of unknown samples using

284

particle standards or FFF theory, however.

AF4 reports the

285

In addition to providing good ENP resolution in extracted tissue samples, TMAH digestion

286

coupled to spICPMS is capable of separating dissolved and ENP elements present in tissue

287

samples. Figure 3 shows two digested beef samples, both of which were spiked with 40 µg/kgww

288

Ag+. The results presented in Panel B in Figure 3 are from samples that were also spiked with 100

289

nm Ag ENPs to 19 µg/kgww ENP Ag. A clear ENP peak was observed above the dissolved Ag

290

background that was present in both panels (Figure 3). The presence of the dissolved Ag does not

291

shift the observed ENP size distribution (Figure 3A inlay) from the particles analyzed in water

ACS Paragon Plus Environment

14

Page 15 of 24

292

293

Environmental Science & Technology

(Figure 1B, H2O). In previous work, TMAH was chosen specifically to liberate Cd+ from mouse

Figure 3. Extraction of dissolved and ENP Ag (100 nm) from beef (A) compared to extraction of dissolved Ag only from beef (B), with converted size distribution in inlay.

294

liver samples while not causing dissolution of quantum dots also present in the sample [31]. This

295

ability of TMAH to dissolve tissues and preserve dissolved and ENPs is consistent with the results

296

presented herein.

297

Total Metal Digestion

298

The total mass recovered using microwave-assisted digestion was comparable to ENP mass

299

recovered using TMAH digestion coupled to spICPMS analysis.

300

distribution, when converted to mass distributions and integrated, enabled the calculation of the

301

total TMAH extractable ENP mass in each sample. The recovered mass was then compared to the

302

total acid extractable ENP (metal) mass. Comparing the TMAH extracted mass to total metals

303

analysis indicated that TMAH extraction liberated 90-96% of the total mass depending on the

304

specific particle type analyzed (Table 2). These results indicate that TMAH extraction is capable

305

of liberating all ENPs from tissues, similar to a more traditional acid digestion. Further, the

306

recovery of Au and Ag ENPs using TMAH extraction was between 75-125%, indicating that this

307

extraction procedure is valid for different ENP and tissue types (Table 1, Table S1).

Measured spICPMS size

ACS Paragon Plus Environment

15

Environmental Science & Technology

Page 16 of 24

Table 2. Total acid extractable Au and Ag from beef spiked at 98 µg/kg ww Au and 19 µg/kgww Ag both as ENPs. Recovery is shown as a comparison of TMAH and total metals extraction. Element Au Ag

Acid Digested (µg) (±SD) 4.9 (± 0.2) x 10-02 9.4 (± 0.9) x 10-03

TMAH Extracted (µg) (±SD) 4.4 (± 0.06) x 10-2 9.0 (± 0.3) x 10-3

% Recovery 90 96

308 309

Method Performance in Environmentally Relevant Tissues

310

Matrix spike experiments to validate TMAH extraction in the toxicologically relevant

311

organisms D. magna and L. variegatus showed high recovery for both Au and Ag ENPs. D. magna

312

particle number based recovery ranged from was 83% to 105% while L. variegatus recovery varied

313

from 95 to 105% (Table 1). Excellent recovery values (between 80-120%) from both mass and

314

particle number based approaches indicated complete recovery of ENPs. Further, as with the beef

315

tissue, no size shift was observed in Au ENPs spiked into either D. magna or L. variegatus as

316

compared to ENP standards. Mass and particle number based recoveries were similar between

317

beef, D. magna, and L. variegatus.

318

Extracted tissue concentrations in spike recovery tests cover two orders of magnitude, from

319

2.2 mg/kgww in D. magna to 19 µg/kgww in L variegatus. Extracted size distribution, particle

320

number, and mass concentrations were clearly quantified for all samples tested in this tissue

321

concentration range. Importantly, the concentrations of the tissue spike experiments were below

322

the ENP (presumably not dissolved metal) body burdens observed for ENP uptake studies in the

323

literature. For example, Coleman et al. [42] observed a body burdens ranging from 1.7 to 4.4

324

mg/kgww for L. variegatus exposed to 4.6 mg/L Ag ENPs.

325

Method Validation with Exposed D. magna

326

Extracted size distributions of Au and Ag ENPs from exposed D. magna (Figure 4) were consistent

327

with the extracted size distributions in matrix spike experiments (Figure 1A and 1B).

ACS Paragon Plus Environment

16

Page 17 of 24

328

Environmental Science & Technology

Figure 4. Uptake of 100 nm Au (A) and Ag (B) ENPs into D. magna exposed at 98 µg/L Au ENPs and 4.8 µg/L Ag ENPs, as compared to reference Au and Ag ENPs in water. Percent readings and peak mode (Readings, %, Mode, nm) are (9.0, 102), (2.4, 98), (6.6, 86), (1.2, 94) for Au ENPs in water, Au ENPs in D. magna, Ag ENPs in water, and Ag ENPs in D. magna, respectively. Histograms are normalized to the largest bin for each experiment.

329

The particle number concentrations extracted from D. magna ranged from 6.2 (± 2.0) x 1010

330

particles/kgww for Au exposure to 1.3 (± 1.2) x 1010 particles/kgww for Ag exposure (Table 3). The

331

average mass-based body burden in extracted D. magna was 613 ± 230 µg/kgww for Au ENPs and

332

73 ± 64 µg/kgww for Ag ENPs (Table 3). When size distributions of ENPs extracted from exposed

333

D. magna are compared to the reference ENPs, there is no observable shift in ENP size

334

distributions (< 5 nm), at least for this short exposure period. For Ag uptake, the bioaccumulated

335

ENPs exhibited the same shift to a larger size that was observed in Ag spike recovery experiments.

336

This is likely a result of ENP standard dissolution as discussed previously. No significant dissolved

337

signal was observed in extracted daphnia for either Au or Ag exposures. Measurement of D.

338

magna exposure media indicated the Au ENP exposure concentration ranged from 91 to 94 µg/L

339

throughout the test. Nanoparticulate Ag levels were below the initial exposure concentration of 4.8

340

µg/L at the start of the experiment and showed a decreasing trend over the 48-hour test (Figure

341

S2). As the exposure mass and particle number varied across the 48-hour exposure, a range of

342

BCFs were determined for Ag uptake experiments (Table 3).

ACS Paragon Plus Environment

17

Environmental Science & Technology

Page 18 of 24

Table 3. Tissue concentrations, both particle number and mass based for exposed D. magna. Measured dose is included and BCFs (L/kgww) are shown.

Sample analyzed

Element (100 nm ENP)

Tissue concentration (µg/kgww) (±SD)

D. magna

Au

613 (±230)

D. magna (media at T=0)

Ag

D. magna (media at T=48 hours)

74 (±64)

Ag

Tissue concentration (particles kgww-1) (±SD) 6.2 (±2.0) x 1010 1.3 (±1.2) x 10

Measured Exposure concentration (µg/L)

Measured Exposure BCF (Mass based)

Nominal Exposure BCF (Mass based)

94 (±7.2)

6.6

6.3

3.4 (±0.56)

22

10

15 2.3 (±0.57)

31

343 344

Comparisons of ENP Bioaccumulation

345

The primary objective of this study was to develop and validate a method for quantifying metal-

346

based ENPs in environmentally relevant biological tissues. To validate the approach,

347

bioaccumulation was measured in short-term aquatic only exposures using D. magna. The D.

348

magna readily accumulated Au and Ag ENPs in the 48 hour exposure, reflecting the fact that D.

349

magna are filter feeders which can be exposed to ENPs through their high filter rate [39]. When

350

compared to the range of BCFs reported for Ag ENPs in D. magna (after converting to dry weight

351

(dw) tissue concentrations using a dry-to-wet conversion factor of 0.08, [43]) the log BCFs

352

(L/kgdw) measured in this study (1.9 for Au ENPs, 2.3 to 2.5 for Ag ENPs) are significantly lower

353

than those previously reported (range log BCF of 3.16 to 4.66, mean of 4.04 ± 0.39 [39]). BCF

354

values for D. magna in this work resulted from a short term, low exposure (19 µg/L Ag) test where

355

organisms were not fed. Chronic (21 day) uptake studies have indicated that D. magna ENP

356

ingestion is heavily influenced by the presence of food and the exposure concentration, with

357

ingestion rate increasing disproportionately with increasing exposure concentration [38] The

ACS Paragon Plus Environment

18

Page 19 of 24

Environmental Science & Technology

358

literature reported BCF values were determined from chronic D. magna exposures where

359

organisms were fed thought the exposure, and where test concentrations were greater than this

360

work [38,44]. Given the differences between exposures and potential uptake kinetics for Ag ENPs,

361

these differences likely explain the observed variability between BCFs. Further, the consistency

362

between the TMAH spICPMS procedure and total metal analysis (as measured in spike-recovery

363

experiments, Table 2), suggests these differences are likely real, and may have arisen due to the

364

fact that the bioaccumulated nanoparticulate mass reported herein is directly measured as ENPs.

365

Previous studies measuring total Ag mass in tissue likely reflect both dissolved and nanoparticulate

366

mass.

367

Implications

368

This work is the first to show that ENPs can be extracted from a number of different tissues

369

to directly determine uptake of ENP number, size and mass distributions using TMAH digestion

370

coupled to spICPMS. High mass and number-based recoveries indicate that this extraction

371

procedure is efficient at liberating particles from organism tissues. The applicability of the

372

extraction procedure in beef, D. magna, and L. variegatus suggest that this procedure may be

373

applicable to a wide range of tissues.

374

discriminating dissolved Ag signal from Ag ENPs, and was capable of resolving a mixture of 60

375

and 100 nm ENPs. Both mixtures and dissolved elements are likely to be encountered in

376

environmental samples. The concentration detection limit was not experimentally determined in

377

this study, but the relative ease of detection and characterization at 19 µg/kgww suggests that this

378

number could be lower without significant further optimization.

Further, the extraction procedure was capable of

379

Despite the size detection limit of approximately 15-20 nm for spICPMS based on current

380

instrumental sensitivities [24,25,30], this work indicates that metal-based ENPs can be extracted

ACS Paragon Plus Environment

19

Environmental Science & Technology

Page 20 of 24

381

from biological tissues and quantitatively analyzed at environmentally relevant concentrations.

382

Importantly, tissues with high lipid content, such as fish, or with different cellular makeup, such

383

as plants, were not tested and method validation would be necessary in these tissues prior to

384

determination of uptake for these matrices. Finally, changes in the primary particle size due to

385

biological coatings would not be detectable using this method, and TMAH extraction would likely

386

lead to disaggregation of any ENPs which have aggregated in vivo..

387

Though limitations exist, this extraction procedure coupled to the highly sensitive

388

analytical technique spICPMS helps fill a necessary metrology gap by allowing the direct

389

determination of organism dose in exposed organisms, specifically yielding ENP number and size

390

information for the primary particle in addition to total mass uptake.

391

ACKNOWLEDGMENTS

392

We would like to thank the US Army Corps of Engineers for funding this research (Grant

393

W912HZ-09-0163). We would also like to thank the Ranville research group for helping in

394

spICPMS troubleshooting and method development.

395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411

REFERENCES 1. Klaine, S. J.; Alvarez, P. J. J.; Batley, G. E.; Fernandes, T. F.; Handy, R. D.; Lyon, D. Y.; Mahendra, S.; McLaughlin, M. J. and Lead, J. R. Nanomaterials in the environment: Behavior, fate, bioavailability, and effects. Environ. Toxicol. Chem. 2008, 27 (9), 18251851; DOI 10.1897/08-090.1. 2. Tourinho, P. S.; van Gestel, C. A. M.; Lofts, S.; Svendsen, C.; Soares, A. M. V. M. and Loureiro, S. Metal-based nanoparticles in soil: Fate, behavior, and effects on soil invertebrates. Environ. Toxicol. Chem. 2012, 31 (8), 1679-1692; DOI 10.1002/etc.1880. 3. Nowack, B. and Bucheli, T. D. Occurrence, behavior and effects of nanoparticles in the environment. Environ Pollut. 2007, 150 (1), 5-22; DOI 10.1016/j.envpol.2007.06.006. 4. Gottschalk, F.; Scholz, R. W. and Nowack, B. Probabilistic material flow modeling for assessing the environmental exposure to compounds: Methodology and an application to engineered nano-tio2 particles. Environ. Modell. Softw. 2010, 25 (3), 320-332; DOI 10.1016/j.envsoft.2009.08.011. 5. Mueller, N. C. and Nowack, B. Exposure modeling of engineered nanoparticles in the environment. Environ. Sci. Technol. 2008, 42 (12), 4447-4453; DOI 10.1021/es7029637.

ACS Paragon Plus Environment

20

Page 21 of 24

412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457

Environmental Science & Technology

6. Gottschalk, F.; Kost, E. and Nowack, B. Engineered nanomaterials in water and soils: A risk quantification based on probabilistic exposure and effect modeling. Environ. Toxicol. Chem. 2013, 32 (6), 1278-1287; DOI 10.1002/etc.2177. 7. Handy, R. D.; van den Brink, N.; Chappell, M.; Muhling, M.; Behra, R.; Dusinska, M.; Simpson, P.; Ahtiainen, J.; Jha, A. N.; Seiter, J.; Bednar, A.; Kennedy, A.; Fernandes, T. F. and Riediker, M. Practical considerations for conducting ecotoxicity test methods with manufactured nanomaterials: What have we learnt so far? Ecotoxicology. 2012, 21 (4), 933-972; DOI 10.1007/s10646-012-0862-y. 8. Kennedy, A. J.; Hull, M. S.; Bednar, A. J.; Goss, J. D.; Gunter, J. C.; Bouldin, J. L.; Vikesland, P. J. and Steevens, J. A. Fractionating nanosilver: Importance for determining toxicity to aquatic test organisms. Environ. Sci. Technol. 2010, 44 (24), 9571-9577; DOI 10.1021/es1025382. 9. Hull, M.; Kennedy, A. J.; Detzel, C.; Vikesland, P. and Chappell, M. A. Moving beyond mass: The unmet need to consider dose metrics in environmental nanotoxicology studies. Environ. Sci. Technol. 2012, 46 (20), 10881-10882; DOI 10.1021/es3035285. 10. Judy, J. D.; Unrine, J. M. and Bertsch, P. M. Evidence for biomagnification of gold nanoparticles within a terrestrial food chain. Environ. Sci. Technol. 2011, 45 (2), 776781; DOI 10.1021/es103031a. 11. Judy, J. D.; Unrine, J. M.; Rao, W. and Bertsch, P. M. Bioaccumulation of gold nanomaterials by manduca sexta through dietary uptake of surface contaminated plant tissue. Environ. Sci. Technol. 2012, 46 (22), 12672-12678; DOI 10.1021/es303333w. 12. Unrine, J. M.; Shoults-Wilson, W. A.; Zhurbich, O.; Bertsch, P. M. and Tsyusko, O. V. Trophic transfer of au nanoparticles from soil along a simulated terrestrial food chain. Environ. Sci. Technol. 2012, 46 (17), 9753-9760; DOI 10.1021/es3025325. 13. von der Kammer, F.; Ferguson, P. L.; Holden, P. A.; Masion, A.; Rogers, K. R.; Klaine, S. J.; Koelmans, A. A.; Horne, N. and Unrine, J. M. Analysis of engineered nanomaterials in complex matrices (environment and biota): General considerations and conceptual case studies. Environ. Toxicol. Chem. 2012, 31 (1), 32-49; DOI 10.1002/etc.723. 14. Hassellov, M.; Readman, J. W.; Ranville, J. F. and Tiede, K. Nanoparticle analysis and characterization methodologies in environmental risk assessment of engineered nanoparticles. Ecotoxicology. 2008, 17 (5), 344-361; DOI 10.1007/s10646-008-0225-x. 15. Filipe, V.; Hawe, A. and Jiskoot, W. Critical evaluation of nanoparticle tracking analysis (nta) by nanosight for the measurement of nanoparticles and protein aggregates. Pharm. Res. 2010, 27 (5), 796-810; DOI 10.1007/s11095-010-0073-2. 16. James, A. E. and Driskell, J. D. Monitoring gold nanoparticle conjugation and analysis of biomolecular binding with nanoparticle tracking analysis (nta) and dynamic light scattering (dls). Analyst. 2013, 138 (4), 1212-1218; DOI 10.1039/c2an36467k. 17. Gallego-Urrea, J. A.; Tuoriniemi, J. and Hassellov, M. Applications of particle-tracking analysis to the determination of size distributions and concentrations of nanoparticles in environmental, biological and food samples. Trac-Trends Anal. Chem. 2011, 30 (3), 473483; DOI 10.1016/j.trac.2011.01.005. 18. Farre, M.; Sanchis, J. and Barcelo, D. Analysis and assessment of the occurrence, the fate and the behavior of nanomaterials in the environment. 2011, 30 (3), 517-527; DOI 10.1016/j.trac.2010.11.014. 19. Tiede, K.; Boxall, A. B. A.; Tiede, D.; Tear, S. P.; David, H. and Lewis, J. A robust sizecharacterisation methodology for studying nanoparticle behaviour in 'real' environmental

ACS Paragon Plus Environment

21

Environmental Science & Technology

458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503

Page 22 of 24

samples, using hydrodynamic chromatography coupled to icp-ms. J. Anal. At. Spectrom. 2009, 24 (7), 964-972; DOI 10.1039/b822409a. 20. Helfrich, A. and Bettmer, J. Analysis of gold nanoparticles using icp-ms-based hyphenated and complementary esi-ms techniques. Int. J. Mass spectrom. 2011, 307 (1-3), 92-98; DOI 10.1016/j.ijms.2011.01.010. 21. Gray, E. P.; Bruton, T. A.; Higgins, C. P.; Halden, R. U.; Westerhoff, P. and Ranville, J. F. Analysis of gold nanoparticle mixtures: A comparison of hydrodynamic chromatography (hdc) and asymmetrical flow field-flow fractionation (af4) coupled to icp-ms. J. Anal. At. Spectrom. 2012, 27 (9), 1532-1539. 22. Bednar, A. J.; Poda, A. R.; Mitrano, D. M.; Kennedy, A. J.; Gray, E. P.; Ranville, J. F.; Hayes, C. A.; Crocker, F. H. and Steevens, J. A. Comparison of on-line detectors for field flow fractionation analysis of nanomaterials. Talanta. 2013, 104, 140-148; DOI 10.1016/j.talanta.2012.11.008. 23. Degueldre, C.; Favarger, P. Y. and Wold, S. Gold colloid analysis by inductively coupled plasma-mass spectrometry in a single particle mode. Anal. Chim. Acta. 2006, 555 (2), 263-268; DOI 10.1016/j.aca.2005.09.021. 24. Laborda, F.; Jimenez-Lamana, J.; Bolea, E. and Castillo, J. R. Selective identification, characterization and determination of dissolved silver(i) and silver nanoparticles based on single particle detection by inductively coupled plasma mass spectrometry. J. Anal. At. Spectrom. 2011, 26 (7), 1362-1371; DOI 10.1039/c0ja00098a. 25. Pace, H. E.; Rogers, N. J.; Jarolimek, C.; Coleman, V. A.; Gray, E. P.; Higgins, C. P. and Ranville, J. F. Single particle inductively coupled plasma-mass spectrometry: A performance evaluation and method comparison in the determination of nanoparticle size. Environ. Sci. Technol. 2012, 46 (22), 12272-12280; DOI 10.1021/es301787d. 26. Pace, H. E.; Rogers, N. J.; Jarolimek, C.; Coleman, V. A.; Higgins, C. P. and Ranville, J. F. Determining transport efficiency for the purpose of counting and sizing nanoparticles via single particle inductively coupled plasma mass spectrometry. Anal. Chem. 2011, 83 (24), 9361-9369; DOI 10.1021/ac201952t. 27. Mitrano, D. M.; Lesher, E. K.; Bednar, A.; Monserud, J.; Higgins, C. P. and Ranville, J. F. Detecting nanoparticulate silver using single-particle inductively coupled plasma-mass spectrometry. Environ. Toxicol. Chem. 2012, 31 (1), 115-121; DOI 10.1002/etc.719. 28. Campbell, P.; Ma, S.; Schmalzried, T. and Amstutz, H. C. Tissue digestion for wear debris particle isolation. J. Biomed. Mater. Res. 1994, 28 (4), 523-526; DOI 10.1002/jbm.820280415. 29. Baxter, R. M.; Steinbeck, M. J.; Tipper, J. L.; Parvizi, J.; Marcolongo, M. and Kurtz, S. M. Comparison of periprosthetic tissue digestion methods for ultra-high molecular weight polyethylene wear debris extraction. J. Biomed. Mater. Res. B. 2009, 91B (1), 409-418; DOI 10.1002/jbm.b.31416. 30. Loeschner, K.; Navratilova, J.; Kobler, C.; Molhave, K.; Wagner, S.; Kammer, F. and Larsen, E. Detection and characterization of silver nanoparticles in chicken meat by asymmetric flow field flow fractionation with detection by conventional or single particle icp-ms. Anal. Bioanal. Chem. 2013, 1-11; DOI 10.1007/s00216-013-7228-z. 31. Arslan, Z.; Ates, M.; McDuffy, W.; Agachan, M. S.; Farah, I. O.; Yu, W. W. and Bednar, A. J. Probing metabolic stability of cdse nanoparticles: Alkaline extraction of free cadmium from liver and kidney samples of rats exposed to cdse nanoparticles. J. Hazard. Mater. 2011, 192 (1), 192-199; DOI 10.1016/j.jhazmat.2011.05.003.

ACS Paragon Plus Environment

22

Page 23 of 24

504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547

Environmental Science & Technology

32. Schmidt, B.; Loeschner, K.; Hadrup, N.; Mortensen, A.; Sloth, J. J.; Koch, C. B. and Larsen, E. H. Quantitative characterization of gold nanoparticles by field-flow fractionation coupled online with light scattering detection and inductively coupled plasma mass spectrometry. Anal. Chem. 2011, 83 (7), 2461-2468; DOI 10.1021/ac102545e. 33. Mitrano, D. M.; Barber, A.; Bednar, A.; Westerhoff, P.; Higgins, C. P. and Ranville, J. F. Silver nanoparticle characterization using single particle icp-ms (sp-icp-ms) and asymmetrical flow field flow fractionation icp-ms (af4-icp-ms). J. Anal. At. Spectrom. 2012, 27 (7), 1131-1142; DOI 10.1039/c2ja30021d. 34. Gimbert, L. J.; Haygarth, P. M.; Beckett, R. and Worsfold, P. J. Comparison of centrifugation and filtration techniques for the size fractionation of colloidal material in soil suspensions using sedimentation field-flow fractionation. Environ. Sci. Technol. 2005, 39 (6), 1731-1735; DOI 10.1021/es049230u. 35. Methods for measureing the acute toxicity of effluents and recieveing waters to freshwater and marine organisms; United States Environmental Protection Agency: Washington DC, 2002; http://water.epa.gov/scitech/methods/cwa/wet/upload/2007_07_10_methods_wet_disk2_ atx.pdf 36. Croteau, M. N.; Misra, S. K.; Luoma, S. N. and Valsami-Jones, E. Silver bioaccumulation dynamics in a freshwater invertebrate after aqueous and dietary exposures to nanosized and ionic ag. Environ. Sci. Technol. 2011, 45 (15), 6600-6607; DOI 10.1021/es200880c. 37. Khan, F. R.; Misra, S. K.; Garcia-Alonso, J.; Smith, B. D.; Strekopytov, S.; Rainbow, P. S.; Luoma, S. N. and Valsami-Jones, E. Bioaccumulation dynamics and modeling in an estuarine invertebrate following aqueous exposure to nanosized and dissolved silver. Environ. Sci. Technol. 2012, 46 (14), 7621-7628; DOI 10.1021/es301253s. 38. Zhao, C. M. and Wang, W. X. Biokinetic uptake and efflux of silver nanoparticles in daphnia magna. Environ. Sci. Technol. 2010, 44 (19), 7699-7704; DOI 10.1021/es101484s. 39. Hou, W.-C.; Westerhoff, P. and Posner, J. D. Biological accumulation of engineered nanomaterials: A review of current knowledge. Environ. Sci.: Processes Impacts. 2013, 15 (1), 103-122; DOI 10.1039/c2em30686g. 40. Li, X. and Lenhart, J. J. Aggregation and dissolution of silver nanoparticles in natural surface water. Environ. Sci. Technol. 2012, 46 (10), 5378-5386; DOI 10.1021/es204531y. 41. Inductively coupled plasma mass spectrometry; United States Environmental Protection Agency: Washington DC, 2007; http://www.epa.gov/osw/hazard/testmethods/sw846/pdfs/6020a.pdf 42. Coleman, J. G.; Kennedy, A. J.; Bednar, A. J.; Ranville, J. F.; Laird, J. G.; Harmon, A. R.; Hayes, C. A.; Gray, E. P.; Higgins, C. P. and Steevens, J. A. Comparing the effects of nano silver size and coating variations on bioavailability, internalization, and elimination, using lumbriculus variegatus. Environ. Toxicol. Chem. 2013, n/a-n/a; DOI 10.1002/etc.2278. 43. Tervonen, K.; Waissi, G.; Petersen, E. J.; Akkanen, J. and Kukkonen, J. V. K. Analysis of fullerene-c-60 and kinetic measurements for its accumulation and depuration in daphnia magna. Environ. Toxicol. Chem. 2010, 29 (5), 1072-1078; DOI 10.1002/etc.124. 44. Zhao, C. M. and Wang, W. X. Size-dependent uptake of silver nanoparticles in daphnia magna. Environ. Sci. Technol. 2012, 46 (20), 11345-11351; DOI 10.1021/es3014375.

548

ACS Paragon Plus Environment

23

Environmental Science & Technology

ACS Paragon Plus Environment

Page 24 of 24