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. Author manuscript; available in PMC: 2016 Nov 6.
Published in final edited form as: J Chromatogr A. 2015 Sep 26;1419:89–98. doi: 10.1016/j.chroma.2015.09.054

Modified ion source triple quadrupole mass spectrometer gas chromatograph for polycyclic aromatic hydrocarbon analyses

Kim A Anderson a,*, Michael J Szelewski b,1, Glenn Wilson a, Bruce D Quimby b,1, Peter D Hoffman a
PMCID: PMC4721517  NIHMSID: NIHMS726131  PMID: 26454790

Abstract

We describe modified gas chromatography electron-impact/triple-quadrupole mass spectrometry (GC–EI/MS/MS) utilizing a newly developed hydrogen-injected self-cleaning ion source and modified 9 mm extractor lens. This instrument, with optimized parameters, achieves quantitative separation of 62 polycyclic aromatic hydrocarbons (PAHs). Existing methods historically limited rigorous identification and quantification to a small subset, such as the 16 PAHs the US EPA has defined as priority pollutants. Without the critical source and extractor lens modifications, the off-the-shelf GC–EI/MS/MS system was unsuitable for complex PAH analysis. Separations were enhanced by increased gas flow, a complex GC temperature profile incorporating multiple isothermal periods, specific ramp rates, and a PAH-optimized column. Typical determinations with our refined GC–EI/MS/MS have a large linear range of 1–10,000 pg μl−1 and detection limits of <2 pg μl−1. Included in the 62 PAHs, multiple-reaction-monitoring (MRM) mode enabled GC-EI/MS/MS identification and quantitation of several constituents of the MW 302 PAHs isomers. Using calibration standards, values determined were within 5% of true values over many months. Standard curve r2 values were typically >0.998, exceptional for compounds which are archetypally difficult. With this method benzo[a]fluorene, benzo[b]fluorene, benzo[c]fluorene were fully separated as was benzo[b]fluoranthene, benzo[k]fluoranthene, and benzo[j]fluoranthene. Chrysene and triphenylene, were sufficiently separated to allow accurate quantitation. Mean limits of detection (LODs) across all PAHs were 1.02 ± 0.84 pg μl−1 with indeno[1,2,3-c,d] pyrene having the lowest LOD at 0.26 pg μl−1 and only two analytes above 2.0 pg μl−1; acenaphthalene (2.33 pg μl−1) and dibenzo[a,e]pyrene (6.44 pg μl−1).

1. Introduction

Polycyclic aromatic hydrocarbons (PAHs) are a widely distributed, highly-monitored class of contaminants, commonly defined as having two or more single or fused aromatic rings with shared carbon atoms and are typically found in complex mixtures. They originate from a number of sources; namely natural biological processes (biogenic), incomplete combustion (pyrogenic) and collection and utilization of fossil fuels (petrogenic). PAHs are semi-volatile with low vapor pressure and are resistant to chemical reaction, thus tending to accumulate rather than degrade [1,2]. Their lipophilic (hydrophobic) nature results in low aqueous solubility and leads PAHs to bioaccumulate across biological membranes. Atmospheric PAHs exist as either free gas-phase molecules, or associated with airborne particulate matter, with higher MW PAHs more likely to be particulate-bound [3-5].

There are three modes of human exposure to PAHs: (1) direct dermal contact, (2) inhalation and (3) ingestion, with inhalation and ingestion typically the primary pathways. Respiratory PAH burden includes both free and particulate-bound fractions. Hassan et al., demonstrated free gas-phase PAHs to comprise 67% of respiratory PAHs at a study site in Giza, Egypt [6]. Upon inhalation, non-particulate bound PAHs are immediately available to partition across biological membranes. Significant effort has been applied to clarify the association of inhaled PAHs with increased incidence of respiratory syndromes, especially asthma and lung cancer [7,8]. Food preparation, particularly smoking or high-temperature grilling of high-fat content meats, provides an immediate pathway to gastro-intestinal exposure to pyrogenic PAHs, including benz[a]pyrene (BAP), a long-established carcinogen thought to play a role in cancers of the digestive tract [9-12]. To evaluate PAH exposures in humans, methods monitoring metabolites in urine have been established [13,14].

PAHs, including chemically modified oxy- and nitro-polycyclic aromatic hydrocarbons (OPAHs and NPAHs, respectively) as well as alkylated-PAHs (RPAHs), have been shown to undergo wide geographic dispersal far from originating sources [15] and subsets of PAHs have been demonstrated to be mutagenic and/or carcinogenic [16]. RPAH ratios are signature characteristics used to establish PAH sourcing [17]. In typical petrogenic mixtures, RPAHs are more abundant than their unsubstituted parental counterpart. Accurate source identification requires the ability to identify and quantitate both parental and alkylated products. Toxicological fates of PAHs are areas of active research and monitoring programs are widespread [18,19].

In 2010, the US Environmental Protection Agency (EPA) established a relative potency factor (RPF) approach for assessing both individual PAHs and complex PAH mixtures as part of their integrated risk information system (IRIS) [20]. For RPF determinations, potency was assessed relative to BAP using studies which included both BAP and additional PAHs. RPFs for individual PAHs were calculated relative to a BAP value assigned as 1.0. The EPA determined RPFs for 26 PAHs, including many not in the canonical suite of 16 PAHs the EPA has defined as priority pollutants. Several of these PAHs have RPFs significantly greater than BAP, including benz[l]aceanthrylene (RPF 5), dibenz[a,h]anthracene (RPF 10), benzo[c]fluorene (RPF 20), dibenzo[a,l]pyrene (RPF 30), and benz[j]aceanthrylene (RPF 60). Differential RPFs of these magnitudes accentuate the difficulty in accurate risk assessment when evaluating multipart mixtures, especially when limited in the number and type of identifiable PAHs. That PAHs typically occur in mixtures further emphasizes the need for improved methodology to identify and rigorously quantitate individual PAHs within these complex combinations.

The characteristics of PAHs – persistence, bioaccumulation, and pervasive human exposure with associated health risks – make the ability to monitor a wide range of PAHs of interest to a number of regulatory agencies, including the EPA, the National Oceanic and Atmospheric Administration (NOAA), the World Health Organization (WHO), European Committee for Standardization (CEN), European Food Safety Authority (EFSA), the Food and Drug Administration (FDA) and the United States Department of Agriculture (USDA), all of whom maintain active monitoring programs. The intellectual effort expended in developing resources for environmental sampling [21,22], extraction [23] and analysis of PAHs [9] from a variety of foodstuffs and environmental matrices are indications of the breadth of interest in PAH detection and quantification.

Historically, PAHs have been analyzed by high-performance liquid chromatography coupled to an ultraviolet (HPLC/UV), diode-array (HPLC/DAD) or fluorescence detector (HPLC/FLU); or gas chromatography with a flame ionization detector (GC/FID), GC/MS or GC/MS/MS [24-26]. Because PAH isomers have the same chemical formula and mass and share significant underlying structural similarities, MS products from isomers often share ion fragments with identical mass to charge ratios (m/z), thus accurate identification requires chromatographic separation of isomers prior to MS detection and final confirmation with appropriate standards.

High-throughput PAH determinations with “off the shelf” instrumentation, particularly single quadrupole systems, are problematic. Many labs encounter difficulties maintaining robust analysis conditions. After relatively few runs, internal standards (ISTD) will give inconsistent response across the calibration range and the range of external standard (ESTD) linearity diminishes. Marginally performing injectors and columns lead to poor resolution and greater peak broadening, limiting rigorous quantitation of detected analytes and preventing identification of additional PAHs of interest.

Additionally, high boiling points, particularly of large PAHs, lead to a marked tendency toward desublimation and deposition within the instrument, limiting sensitivity of detection, reproducibility of quantification and requiring high temperatures and iterative cycles of injector and instrument cleaning to restore performance. The propensity toward deposition also requires high inlet temperatures and the use of liners with glass wool. Efforts to increase separation, especially with high-molecular weight (HMW) PAHs, defined as having molecular weights greater than 300, include coupling liquid chromatographic (LC) separation with a 60 m GC column (LC–GC–MS), which increases separation but requires greater system gas pressures and extends run times [27-29]. Recently Sakuma et al., generated an application note describing an LC-MS/MS system utilizing a fluorescence detection (LC–FLD–MS/MS) method for PAH and RPAH analysis of a limited number of compounds, including 26 PAHs and 11 RPAH derivatives as well as 11 photo-oxidized PAH products [30]. While linearity with FLD detection was reported as four orders of magnitude, there were no r2 values presented representing that range and the majority of PAHs analyzed were five-ring and smaller. Several additional published methods provide accurate PAH determinations, but are limited to relatively small subsets of analytes [31,32].

Initial efforts to perform rigorous analysis of PAHs using impact-ionization mass spectrometry (EI/MS) were unsuccessful. Using a standard EI source lacking H2 injection, instrument performance would rapidly degrade. Attempts at rudimentary 3-point calibrations spanning 2 orders of magnitude were unsuccessful. Reinjection of the same standard gave highly variable results, with inter-day and intra-day variation of 25% or more. In its “off the shelf” configuration, the instrument was unsuitable for complex PAH analysis.

We developed a hydrogen-injected, self-cleaning ion source (SCIS) on the GC-EI/MS/MS system to address many of the difficulties encountered in PAH analysis mentioned above. The SCIS introduces hydrogen directly into the ion source through a specially engineered auxiliary pneumatic control module. We changed the extractor lens from the standard 3 mm to 9 mm. The modified instrument was coupled to a novel PAH-select column, and sensitivity and resolution were further refined through iterative adjustment of method parameters. The study presented here utilizes H2 injection, a 9 mm extractor lens, a PAH-select column and the refined instrument parameters to demonstrate accurate quantitative identification of a suite of 62 PAHs ranging from the two-ring structure of naphthalene with a molecular weight (MW) of 128.17 and a boiling point (BP) of 218 °C, to PAHs in the 302 group with MWs of 302.17 and BPs up to 595 °C (dibenzo[a,l]pyrene). Also included in the suite of 62 are 20 accurately quantified RPAHs, providing the requisite analytical tools for precise PAH sourcing determinations. Additional PAHs within the 302 group were identifiable and application of the method enabled identification of several PAHs not previously identified or quantified from complex mixes, including high relative RPF compounds typically not quantifiable on standard 30 m columns. Only through these modifications were we able to quantify these 62 PAHs with excellent sensitivity and precision.

2. Materials and methods

2.1. GC/MS/MS

The GC/MS/MS instrument was an Agilent 7000B GC/MS/MS. Modifications were made to the instrument to improve the analytical performance in PAH analysis, see Fig. 1. The source was replaced with the extractor source from an Agilent 7000 C, which has increased thermal conduction to the draw-out lens from the source heater. The standard 3 mm extractor lens in the source was replaced with an optional 9 mm extractor. The transfer line was replaced with a CI transfer line, which has provision for sending a gas around the outside of the column and directly into the source. Hydrogen was supplied to the transfer line with an Electronic Pneumatic Control (EPC) module. The hydrogen channel of the EPC module contained a frit calibrated to inject 0.2 ml min−1 of hydrogen into the source with a pressure of 50 psi. When hydrogen injection is not required, the hydrogen pressure is set to off and a second channel of the EPC module is used to supply approximately 0.015 ml min−1 of helium to keep the path into the source purged. This configuration is referred to as the Self-Cleaning Ion Source (SCIS).

Fig. 1.

Fig. 1

Schematic of modified ion source triple quadrupole mass spectrometer GC. Hydrogen is injected directly in the EI MS/MS source during typical operation. Low pressure helium can be substituted when hydrogen is not required.

One microliter of sample was injected in pulsed splitless mode with an injector temperature of 320 °C, injection pulse pressure of 35 psi until 0.3 min, purge flow to split valve 25 ml min−1 at 0.7 min, thermal auxiliary 2 (MSD transfer line) heater at 320 °C and source temperature at 340 °C. Helium carrier gas was held at a constant flow of 2 ml min−1. The injection liner was an Agilent Ultra Inert, single taper, repacked with a very small amount of deactivated glass wool (Restek, Bellefonte, PA). Sample was injected onto an Agilent J & W Select PAH column (part number CP7462), 30 m × 0.25 mm × 0.15 μm, with an oven program of 60 °C for 1 min, ramping 40 °C min−1 to 180 °C, 3 °C min−1 to 230 °C, 1.5 °C min−1 to 280 °C, hold for 10 min, ramp 6 °C min−1 to 298 °C then a final ramp of 16 °C min−1 to 350 °C with a 4 min hold at 350 °C. The QQQ collision cell helium quench gas was set to 2.25 ml min−1 with N2 collision gas at 1.5 ml min−1. Total run time was 47.25 min. Complete GC/MS/MS instrument conditions are appended in Supplemental Table S1.

2.2. Optimized PAH detection

Analyte separation was optimized through an iterative cycle of GC oven temperature profile adjustments derived from a method developed by Oostdijk and existing methodology in our laboratory [33,34]. Gas flow rates and temperature parameters were systematically evaluated by making minor changes in flow, temperature or ramp rate, and examining the effect on chromatographic separation for a population of reference compounds, including evaluating peak shape, and repeating the process. Final parameters include specifically defined ramp rates and ranges as well as the necessary inclusion of several isothermal holds which dramatically improve PAH separation.

2.3. Sample preparation

Solutions containing 62 native compounds were prepared by combining commercially available 16 EPA priority pollutant PAHs, custom PAH mixes and individual PAH standards made from neat stocks or solutions, then diluted to volume with isooctane. All standard commercial and custom mixtures were purchased from AccuStandard Inc. (New Haven, CT) and were guaranteed to be greater than 97% pure. Individual compound sources are listed in Table 1. Working standards were prepared by dilution of the stock standard with isooctane and stored in the dark at 4 °C. Perylene-D12 was purchased from Chemservice, Inc. (Westchester, PA) and used at 500 pg μl−1 as an internal standard for instrument quantitation. Perylene-D12 is a readily available standard reference material which gives robust and reproducible signal and was selected from the list of suitable internal standards recommended within EPA method 8270D. Because of its relatively large size (MW 264), it is emulative of larger PAHs, which are typically more analytically recalcitrant. Additional deuterated surrogates, naphthalene-D8, acenaphthylene-D8, phenanthrene-D10, fluoranthene-D10, chrysene-D12, benzo[a]pyrene-D12, and benzo[ghi]perylene-D12 were added at 500 pg μl−1 and used as internal-standard-corrected surrogates to quantify those compounds most similar in analytical behavior (complete list in Table 1). For analysis of samples requiring additional manipulations or extractions, these additional deuterated analytes also function as extraction and recovery surrogates [18,30]. All organic solvents were Optima grade from Fisher Scientific (Pittsburgh, PA).

Table 1.

Complete list of the 62 PAH analytes examined in this study. PAHs quantified in this method are presented in order of elution, with retention times, quantifying and qualifying ions, limits of detection (LODs), and calibration fit (CF) R2 values. R2 values were determined from 7 to 9 point calibration curves as described in materials and methods and represent calibration ranges from 1 pg μl−1 to 10 ng μl−1. CAS numbers and suppliers are also provided.

Peak # Name Molecular
weight
Retention
time
Quantifier
precursor
ion
Quantifier
product ion
Collision
energy (V)
Qualifier
precursor
ion
Qualifier
product ion
Collision
energy (V)
Detection
limit LOD
(pg/μl)
CF R2 CAS # Source
1 Naphthalene-D8 SS* 136.22 4.11 136 108 20 136 84 25 0.33 na 1146-65-2 CDN
2 Naphthalene 128.17 4.12 128 102 20 128 78 20 1.04 0.9999 91-20-3 AS
3 2-Methylnaphthalene 142.2 4.57 142 141 15 142 115.1 20 0.70 0.9998 91-57-6 AS
4 1-Methylnaphthalene 142.2 4.69 142 141 15 142 115.1 20 0.28 0.9998 90-12-0 AS
5 2-Ethylnaphthalene 156.22 5.00 141 115 15 156 141 15 0.97 0.9997 939-27-5 AS
6 2,6-Dimethylnaphthalene 156.22 5.07 156 141 15 141 115 15 0.89 0.9999 28804-88-8 AS
7 1,6-Dimethylnaphthalene 156.22 5.22 156 141 15 141 115 15 0.81 0.9998 575-43-9 AS
8 1,4-dimethylnaphthalene 156.22 5.37 156 141 15 141 115 15 1.24 0.9994 571-58-4 AS
9 1,5 dimethylnaphthalene 156.22 5.40 156 141 15 141 115 15 1.19 0.9999 571-61-9 AS
10 1,2-Dimethylnaphthalene 156.22 5.49 156 141 15 141 115 15 0.94 0.9996 573-98-8 AS
11 Acenaphthylene-D8 SS* 160.24 5.66 160 158 30 158 156 30 0.33 na 93951-97-4 CIL
12 Acenaphthylene 152.19 5.69 152 126 30 152 102 30 2.33 0.9995 208-96-8 AS
13 1,8-Dimethylnaphthalene 156.22 5.72 156 141 15 141 115 15 0.83 0.9998 569-41-5 AS
14 Acenaphthene 154.08 5.86 153 127 30 153 77 45 1.07 0.9995 83-32-9 AS
15 2,6-Diethylnaphthalene 184.28 6.22 169 154 20 169 153 30 0.81 0.9999 59919-41-4 SA
16 Fluorene-D10 PRC 176.18 6.67 176 174 15 174 172 20 0.33 0.9992 81103-79-9 CIL
17 Fluorene 166.22 6.73 166 165 15 165 164 20 0.79 0.9970 86-73-7 AS
18 Dibenzothiophene 184.26 9.24 184 152 25 184 139 30 0.24 0.9965 132-65-0 AS
19 Phenanthrene-D10 SS* 188.29 9.60 188 160 20 188 186 15 1.67 na 1517-22-2 CIL
20 Phenanthrene§ 178.23 9.71 178 152 25 176 150 25 0.46 0.9999 85-01-8 AS
21 Anthracene§ 178.23 9.86 178 152 25 176 150 25 1.05 0.9998 120-12-7 AS
22 2-Methylphenanthrene§ 192.25 11.61 192 191 20 192 189 40 0.39 0.9990 2531-84-2 AS
23 2-Methylanthracene§ 192.25 11.75 192 191 20 192 189 40 0.47 0.9990 613-12-7 AS
24 1-Methylphenanthrene§ 192.25 12.23 192 191 20 192 189 40 1.06 0.9995 832-69-9 AS
25 9-Methylanthracene§ 192.25 13.24 192 191 20 192 189 40 0.87 0.9988 779-02-2 AS
26 3,6-Dimethylphenanthrene 206.28 13.24 206 191 16 206 205 16 0.42 0.9982 1576-67-6 AS
27 2,3-Dimethylanthracene 206.28 15.14 206 191 16 206 205 16 0.34 0.9979 613-06-9 AS
28 Fluoranthene-D10 SS* 212.32 15.53 212 208 35 210 208 15 1.67 na 93951-69-0 CIL
29 Fluoranthene 202.26 15.66 202 200 35 201 200 15 0.54 0.9984 206-44-0 AS
30 p,p DDE D8-PRC 326.07 16.26 254 184 30 326 254 15 1.67 0.9997 93952-19-3 CDN
31 9,10-Dimethylanthracene 206.28 17.20 206 191 16 206 205 16 0.85 0.9991 781-43-1 AS
32 Pyrene D10-PRC 212.31 17.20 212 208 35 210 208 15 0.9600 1718-52-1 CIL
33 Pyrene$ 202.25 17.20 202 200 35 201 200 15 0.42 0.9983 129-00-0 AS
34 Retene$ 234.34 17.38 219 204 20 219 203 20 0.84 0.9977 483-65-8 AS
35 Benzo[a]fluorene$ 216.28 19.35 216 215 25 215 189 25 1.67 0.9999 238-84-6 SA
36 Benzo[b]flourene$ 216.28 19.73 216 215 25 215 189 25 1.67 0.9999 243-17-4 SA
37 Benzo[c]fluorene$ 216.28 19.83 216 215 25 215 189 25 0.30 0.9939 205-12-9 SA
38 1-Methylpyrene$ 216.28 20.89 216 215 25 215 189 25 0.38 0.9987 2381-21-7 AS
39 Benz[a]anthracene$ 228.29 25.75 228 226 30 113 112 10 0.75 0.9989 56-55-3 AS
40 Cyclopenta[c,d]pyrene$ 226.27 25.95 226 225 30 226 224 40 0.53 0.9982 27208-37-3 AS
41 Chrysene-D12 SS* 240.38 25.95 240 236 35 240 212 30 1.67 na 1719-03-5 CDN
42 Triphenylene$ 228.28 26.04 228 226 30 113 112 10 0.41 0.9988 217-59-4 AS
43 Chrysene$ 228.28 26.10 228 226 30 113 112 10 0.50 0.9999 218-01-9 AS
44 6-Methylchrysene$ 242.33 27.67 242 241 20 241 239 30 0.89 0.9978 1705-85-7 AS
45 5-Methylchrysene$ 242.33 27.74 242 241 20 241 239 30 1.67 0.9998 3697-24-3 AS
46 Benzo[b]fluoranthene D12-PRC 264.38 30.25 264 260 35 264 236 30 1.67 0.9991 205-99-2 CDN
47 Benzo[b]fluoranthene†† 252.31 30.35 252 250 30 126 113 10 0.37 0.9997 205-99-2 AS
48 7,12-Dimethylbenz[a]anthracene†† 256.34 30.43 256 241 15 241 239 25 0.94 1.0000 57-97-6 AS
49 Benzo[k]fluoranthene†† 252.31 30.48 252 250 30 126 113 10 0.53 0.9989 207-08-9 AS
50 Benzo[j]fluoranthene†† 252.31 30.56 252 250 30 126 113 10 0.56 0.9997 205-82-3 CH
51 Benz[j]+[e]aceanthrylene†† 252.31 31.25 252 250 30 250 248 30 1.67 0.9979 202-33-5 &199-54-2 TRC
52 Benzo[e]pyrene†† 252.31 32.25 252 250 30 126 113 10 0.71 0.9998 192-97-2 AS
53 Benzo[a]pyrene-D12 SS* 264.39 32.41 264 260 35 264 236 30 1.67 na 63466-71-7 CIL
54 Benzo[a]pyrene†† 252.31 32.58 252 250 30 126 113 10 1.18 0.9997 50-32-8 AS
55 Perylene-D12 264.38 33.14 264 260 35 264 236 30 na 1520-96-3 CIL
56 Indeno[1,2,3-c,d] pyrene‡‡ 276.33 40.34 276 274 45 138 137 15 0.26 0.9974 193-39-5 AS
57 Dibenz[a,h]anthracene‡‡ 278.33 40.41 278 276 35 125 124 10 1.02 0.9981 53-70-3 AS
58 Picene‡‡ 278.35 41.29 278 276 35 125 124 10 0.74 0.9984 213-46-7 SA
59 Benzo[ghi]perylene-D12 SS* 288.4 41.60 288 284 40 144 142 20 1.67 na 93951-66-7 CIL
60 Benzo[ghi]perylene‡‡ 276.33 41.71 276 274 45 138 137 15 0.34 0.9988 191-24-2 AS
61 Anthanthrene‡‡ 276.33 42.20 276 274 45 138 137 15 0.33 0.9969 191-26-4 CH
62 Naptho[1,2-b]fluoranthene‡‡ 302.37 44.20 302 300 40 302 301 20 1.67 0.9992 5385-22-8 CH
63 Naptho[2,3-j]fluoranthene‡‡ 302.37 44.28 302 300 40 302 301 20 1.67 0.9985 205-83-4 CH
64 Dibenzo[a,e]fluoroanthene‡‡ 302.37 44.43 302 300 40 302 301 20 0.47 0.9984 5385-75-1 AS
65 Dibenzo[a,l]pyrene‡‡ 302.37 44.59 302 300 40 302 301 20 0.48 0.9980 191-30-0 SA
66 Naptho[2,3-k]fluoranthene‡‡ 302.37 44.84 302 300 40 302 301 20 1.67 0.9977 207-18-1 CH
67 Naptho[2,3-e]pyrene‡‡ 302.37 45.18 302 300 40 302 301 20 1.67 0.9989 193-09-9 CH
68 Dibenzo[a,e]pyrene‡‡ 302.37 45.50 302 300 40 302 301 20 6.44 0.9987 192-65-4 AS
69 Coronene‡‡ 302.37 45.69 300 298 50 300 299 35 0.70 0.9984 191-07-1 CH
70 Dibenzo[e,l]pyrene‡‡ 302.37 45.72 302 300 40 302 301 20 1.67 0.9987 192-51-8 CH
71 Naptho[2,3-a]pyrene‡‡ 302.37 45.86 302 300 40 302 301 20 1.67 0.9676 196-42-9 PSCI
72 Benzo[b]perylene‡‡ 302.37 45.93 302 300 40 302 301 20 1.67 0.9965 197-70-6 CH
73 Dibenzo[a,i]pyrene‡‡ 302.37 46.03 302 300 40 302 301 20 1.42 0.9963 189-55-9 AS
74 Dibenzo[a,h]pyrene‡‡ 302.37 46.83 302 300 40 302 301 20 0.52 0.9950 189-64-0 AS

Two or more qualifying ions were identified for each compound.

All compounds were quantified by absolute peak area.

*

Surrogates and

**

internal standards were held at 0.5 ng/μl, target compounds were quantified by 1/X linear least-squares fit.

Source: AS = AccuStandard (New Haven, CT), CIL = Cambridge Isotope Laboratories, Inc. (Andover, MA), CDN = C/D/N Isotope Inc. (Quebec, Canada), FI = Fisher (Hampton, NH), CS = ChemService (West Chester, PA), SA = Sigma–Aldrich (St. Louis, MO), CH = Chiron AS (Trondheim, Norway), TRC = Toronto Research Chemical (Ontario, Canada), PSCI = Penn State Cancer Inst. (Hershey, PA), Surrogate used for quantitation:

Naphthalene-D8,

Acenaphthylene-D8,

§

Phenanthrene-D10,

Fluoranthene-D10,

$

Chrysene-D12,

††

Benzo(a)pyrene-D12,

‡‡

Benzo(ghi)perylene-D12.

PRC = Performance Reference Compound.

2.4. Data analysis

GC/MS/MS data were analyzed using MassHunter Quantitative Analysis v.B.06.00 SP1 build 6.0.388.1 (Agilent Corp. Wilmington, DE) software. As indicated above, internal standard (ISTD) and surrogates were spiked at 500 pg μl−1 in the standard sets. Surrogate standards were quantified relative to the perylene-D12 internal standard. Native compounds were quantified relative to the most appropriate surrogate standard as defined by compound similarity and retention time as per EPA standard methodology. For example, naphthalene-D8, with a retention time (RT) of 4.12 min, is used to quantify eleven compounds ranging from naphthalene (RT = 4.13) to 2,6-diethylnaphthalene (RT = 6.22). In GC/MS/MS MRM each analyte was positively identified by retention time, target ion, and at least one unique confirmation ion. Confirmation ions must occur at the same retention time as target ions and had to be within ±30% of expected values to be considered confirmatory.

2.5. Method calibration and validation

PAHs were quantified using internal standard calibration with 7–9 point calibration curves with resulting coefficients of determination (r2) typically >0.99. Extracted ion chromatograms (EICs) were used to calibrate each method. Typical calibration curves ranged from 1 to 10,000 pg μl−1. The method was calibrated using EICs for each PAH. As per standard EPA methodology, the GC/MS/MS LODs for PAH compounds were determined by running the 1 pg μl−1 standard 7 times, calculating the standard deviation, and multiplying by the Student’s t value for the 99% confidence interval. The LOQ was calculated as 5 times LOD.

3. Results and discussion

3.1. Effect of H2 injection on system performance

Fig. 2 shows four separate metrics demonstrating the effect of H2 addition on instrument performance. Panel A and B show instrument baseline response to H2, panel C shows standard response factor variability and robustness with time and concentration, and panel D shows calibration curves with r2 values for an individual analyte, dibenzo(a,l)pyrene, injected with and without H2 addition.

Fig. 2.

Fig. 2

Effect of hydrogen addition on GC/MS/MS instrument performance. Panel A, reduction in baseline with H2 addition. A-1, Hexane only was injected following 8 mixed PAH analytical runs without H2 injection. Panel A-2, Hexane injected with H2 continuous flow. Panel A-3, Expanded scale of hexaneonly injection with H2 addition. Panel B, Restoration of analyte detection with H2 addition. B1, 30 PAH standard mixture at 500 ng/analyte was injected after 8 previous runs of PAH analysis. B2, 30 PAH standard mixture at 500 pg/analyte was injected with H2 augmentation, after 8 previous runs of PAH analysis without H2. Panel C, stable and robust internal standard performance over time and concentration. Internal and surrogate standard signal was normalized to a 1000 pg sample over a 1–1000 pg calibration range. C1 IS/SS normalization without H2 addition. C2 IS/SS normalization with H2 addition on day 1. C3 IS/SS normalization with H2 addition on day 3. C4 IS/SS normalization with H2 addition on day 12. Panel D, Calibration curve of Dibenzo(a,l) pyrene run with continuous H2 from 1 to 1000 pg showing excellent linear fit (r2 = 0.99998). Panel D inset attempted curve fit to dibenzo(a,l)pyrene calibration over the same range without H2 (r2 = 0.9785).

3.2. Accuracy

Table 2 shows representative accuracy determinations for naphthalene, benz[a]anthracene and dibenzo[a,l]pyrene over calibration range of four orders of magnitude. Determinations of absolute amounts of chrysene-D12 in the standard injections are also shown.

Table 2.

Percent accuracy from a broad-range calibration curve. Calibration values for representative 2, 4 and 6-ring native compounds run as part of a complete calibration mixture are shown. Surrogate standard chrysene-D12 was included in each calibration mixture at 500 pg/μl.

Native compound Cal level pg Naphthalene Accuracy (%) Benz[a]anthracene Accuracy (%) Dibenzo[a,l]pyrene Accuracy (%) Deuterated compound Cal level pg Chrysene-D12, SS Accuracy (%)
10000 101.4 102 105.2 500 103.8
5000 98 97.1 94.9 500 100.9
1000 98.5 98.2 86.1 500 97.9
500 96.4 94.8 81.6 500 97.6
100 95.2 93.6 76 500 99.1
50 96.3 92.4 74.3 500 99.3
10 96.5 89.9 80.1 500 99.5
5 95.4 95.2 100.7 500 101.5
1 122.2 136.7 201 500 100
Mean 99.99 99.99 99.99 99.96
SD 8.55 14.20 39.40 1.91

3.3. Identification and quantification of 62 PAHs

Results using the described method parameters on a model 7000B GC/MS/MS triple-quadrupole instrument retrofitted with a self-cleaning hydrogen injection system and 9 mm extraction lens are shown in Table 1, which lists the 62 analytes in elution order. Of particular interest are determinations of limits of detection (LOD) as well as the calibration fit r2 (CF r2) values for each analyte as calculated in Section 2. Mean CF r2 value for the 62 PAH analytes is 0.9982 ± 0.004 from a seven point calibration curve spanning four orders of magnitude. Additional selectivity generated by the triple quadrupole instrument’s capability to reduce instrument background by multiple-reaction-monitoring (MRM) analysis increased the linear range of response to span 1 pg μl−1 to 10,000 pg μl−1. In our hands, systems without these modifications typically exhibit ≤ 0.98 r2 values over a calibration range of only 10–1000 pg μl−1 (see Table S2).

Fig. 3 shows a compiled total ion current (TIC) chromatographic trace representing 62 analytes, all at a concentration of 500 pg μl−1 analyzed on a triple-quadrupole GC/MS/MS retrofitted with a hydrogen-injection, self-cleaning ion source (SCIS).

Fig. 3.

Fig. 3

Compiled total ion current (TIC) chromatographic trace representing 62 analytes, all at a concentration of 500 pg μl−1 analyzed on a triple-quadrupole GC/MS/MS retrofitted with a hydrogeninjection, self-cleaning ion source (SCIS). Injections with 51 and 11 analytesrespectively were used to generate one compiled trace. Panel A shows peaks for phenanthrene and anthracene. Panel B shows peaks corresponding to benzo(a)fluorene, benzo(b)fluorene, benzo(c)fluorene and 1-methylpyrene. Panel C shows the resolution of cyclopenta[c,d]pyrene and chrysene D-12, as well as triphenylene and chrysene. In Panel D, benzo[b]fluoranthene, benzo[k]fluoranthene, and benzo[j]fluoranthene are identified as well as 7,12-dimethylbenz[a]anthracene. Panel E shows the separation of multiple members of the PAH-302 group as well as coronene, a co-eluting compound mass-resolved from the 302 group by its m/z ratio.

3.4. Discussion

Because of their broad distribution, environmental persistence and potential environmental and health influences, PAHs remain an ongoing interest of research groups and monitoring agencies. Regulatory concern is manifest by continuously evolving monitoring and risk assessment programs. As such, the ability to quickly and accurately identify and quantitate PAHs remains a priority. The method presented represents improvements in PAH detection and quantitation derived from both improvements in instrumentation, namely a self-cleaning ion source which provides H2 injection into the MS source, a novel 9 mm extractor lens, a PAH-select column optimized for PAH separation and improvements in operation; specifically optimized gas flows and oven parameters. Utilization of the PAH-optimized column and the addition of hydrogen to the injection system allow robust and accurate determinations, decreasing instrument down-time. Additionally, the broad four order of magnitude range of linear instrument response greatly reduces the need for reanalysis of samples, increasing throughput for large-scale monitoring efforts.

Adding hydrogen to the mass spectrometer, with the filament current and electron filament on, is speculated to create active hydrogen species that clean the surfaces of the source and other components. Chromatograms generated using the hydrogen-injected source provided a consistently low baseline even after repeated injections, a significant improvement over the non-modified source. The low LOD supported by the consistent low baseline is especially important in analysis of environmental samples where relatively high LODs, as seen with previous instrumentation, might cause low-level contaminants to be undetected. Fig. 2 clearly demonstrates these phenomena. Panel A shows the improvement in baseline that occurs when a hexane blank is analyzed with a hydrogen-enabled SCIS on an instrument that has been fouled by previous PAH analytical runs. Consistently, baselines were reduced significantly (approximately three orders of magnitude in this instance). Panel B shows that the reduction in background is not driven by signal suppression, as native analyte signal remains consistent. The reduction in background now allows the detection of analyte signal that was previously masked by high non-specific signal. Panel C demonstrates both the dramatic improvement in standard signal consistency over a broad range of calibration concentrations and the robustness of day-to-day determinations over a 12 day test period. It is critical that signal from internal surrogates, present in all samples at constant concentration, is independent from overall analyte concentration. A typical result is seen in the “Without H2” set of deuterated compounds in panel C. Perylene-d12 concentration is identical in all injections, but signal changes dramatically with the overall concentration of analytes in the complex mixture. Total PAH in these samples reflects the sum of all analytes, plus the deuterated standards. With the standard concentrations held at 500 pg, the range of ΣPAHs is from approximately 2500 pg for the 1 ppb calibration set with the majority of ΣPAHs coming from the deuterated standards, to 53,500 pg for the 1 ppm calibration set with the majority of ΣPAHs coming from the 51-PAH analyte mixture now present at a relatively high concentration. This consistent performance allows accurate quantitation of samples over a broad range of total concentrations, an important factor when analyzing environmental samples in which total concentration can vary widely. Panel D shows the improvement in linear response of benzo(a,l)pyrene, one of the 302 MW PAHs, shown with H2 injection (main graph) and without (inset). R2 values for the two linear fits are 0.9999 when run with H2 injection, and 0.9788 without H2. Supporting information Table S2 shows the effect on linear curve fit for several of the PAHs analyzed in this work. In no case, were r2 values better without H2 injection.

As demonstrated in Table 2, the results of the instrumentation changes led to exceptional accuracy over a broad calibration range relative to previously established GC/MS methodology. The mean value for absolute accuracy from nine determinations ranging from 1 pg μl−1 to 10,000 pg μl−1 for representative 2-ring (naphthalene), 4-ring (benz[a]anthracene), and 6-ring (dibenzo[a,l]pyrene) PAHs are all 99.99% with standard deviations of 8.5%, 14.2% and 39.4% respectively, with the majority of the deviation from the mean driven by the 1 pg μl−1 injection. Even with the relatively bulky 302 PAH dibenzo[a,l]pyrene, all values for injections from 5 pg μl−1 to 10,000 pg μl−1 were within 26% of their absolute values. Column 6 – entitled Chrysene-D12 SS – demonstrates the extraordinary repeatability shown by the chrysene-D12 surrogate standard (SS). Mean accuracy for the SS is 99.96% with an SD of 1.91%. As mentioned previously, the consistency of this determination indicates that internal standard response is not being affected by total PAH concentration, a common artifact in PAH analysis. This stands in marked contrast with our initial efforts with EI instruments where standard variability was so extreme that it precluded quantification calculations. The exceptional performance is not limited to only a few of the 62 analytes. Of particular note are the extraordinary sensitivity, accuracy and precision manifest by the low LODs and high r2 values shown in the “detection limit” and “CF r2” columns of Table 1. Mean r2 across the 62 analytes is 0.9982 ± 0.0041, with 29 analytes having r2 values > 0.999. Mean LOD across all PAHs was 1.02 ± 0.84 pg μl−1 with indeno[1,2,3-c,d]pyrene lowest at 0.26 pg μl−1 and only two analytes with LODs above 2.0 pg μl−1; acenaphthalene (2.33 pg μl−1) and dibenzo[a,e]pyrene (6.44 pg μl−1).

The robust nature of the described method is apparent in Fig. 3. The presented trace was generated by compiling TICs from separate injections of 51 and 11 PAHs (practical considerations of limited standard availability and expense prevented generation of a complete 62 analyte mix). The magnified regions of the chromatographic total ion current (TIC) each highlight a particular feature of the new method. Panel A shows clearly resolved peaks for phenanthrene and anthracene, two compounds indistinguishable by MS which require chromatographic separation. With the presented method, the two peaks are very well separated and easily identified and quantified. Panel B shows clearly defined peaks corresponding to benzo[a]fluorene, benzo[b]fluorene, benzo[c]fluorene and 1-methylpyrene, four compounds with identical transitions. Chromatographic separation allows individual identification and quantitation. The mass resolution capabilities of MRM mode using the GC/MS/MS is shown in Panel C by the resolution of cyclopenta[c,d]pyrene and chrysene-D12, two co-eluting compounds identifiable by their distinct m/z ratios and also shows full separation of benz[a]anthracene and partial chromatographic separation of triphenylene and chrysene. The ability to separate these commonly “lumped” analytes will allow for more accurate risk assessment. In Panel D, benzo[b]fluoranthene, benzo[k]fluoranthene, and benzo[j]fluoranthene show clear chromatographic separation, while co-eluting 7,12-dimethylbenz[a]anthracene is identified by its distinct transitions. Panel E shows the identification of multiple members of the PAH-302 group as well as coronene, a co-eluting compound mass-resolved from the 302 group by its distinct m/z ratio.

The ability to resolve alkylated PAHs from unsubstituted parental compound is critical in PAH sourcing. In cases where potential contaminant source is contested, the ability to differentiate petrogenic from pyrogenic or biogenic PAHs becomes even more critical. Recent studies by Jautzy et al., and Paulik et al., [35,36] as well as others have utilized PAH ratios to identify likely sources of detected PAHs. Amongst the 62 PAHs quantified by this method are 20 alkylated derivatives along with their parental counterparts. This broad spectrum of RPAH analytes provides another tool useful for determination of PAH contaminant origin.

PAHs identified within the MW 302 group include nine fully resolved analytes, two analytes which partially co-elute, and paired 300 and 302 PAHS which co-elute but are separable with appropriate mass selection. Included in this group is dibenzo[a,I]pyrene (RPF 30), one of the high RPF PAHs that are emerging as particular compounds of concern. As risk assessment evolves, accurate determinations of high RPF compounds are becoming a priority. Several studies have utilized a variety of methods for detection of some of these compounds [29,37-39]. Included in this method are three compounds with significantly higher RPF than BAP, dibenz[a,h]anthracene (RPF 10), dibenzo[a,I]pyrene (RPF 30) and benz[j]aceanthrylene (RPF 60). Benz[j]aceanthrylene with its exceptionally high RPF is quantified in neither the Oosdijk et al. nor Sakuma et al. methods [30,34]. The ability to accurately identify and quantify high-risk compounds such as these is critical to establishing accurate estimates of risk, particularly from complex mixtures.

In laboratory parlance, PAHs are considered “sticky”, tending to foul instrumentation and requiring high levels of ongoing maintenance and instrument cleaning. While an existing method for quantifying 33 PAHs using GC/MS with a DB5MS column was used to generate data for a number of publications [40], attempts to expand the number of quantifiable analytes were unsuccessful due to difficulties maintaining rigorous quantification, even with known standard solutions. Substituting an EU-PAH column for the DB5MS column did little to alleviate the problems. Switching to a Select-PAH column on the same instrumentation allowed expansion of the number of quantifiable analytes, but only within a very limited dynamic range and with little intra-day robustness. Efforts to improve our ability to quantify additional PAHs on an “off-the-shelf” triple-quadrupole instrument were also unsuccessful, with day-to-day repetitions giving very erratic results. After extended effort, the conclusion drawn was that standard instrumentation was unsuitable to an expanded suite of PAH analytes, leading to considerations of the most appropriate instrument modifications that might improve PAH analysis.

Extractor lens dimension typically balances two performance parameters; sensitivity and dynamic range. Standard 3 mm lenses provide the greatest sensitivity but with limited dynamic range, while larger lenses provide extended dynamic range, but cost sensitivity. With the combination of the highly-selective MRM mode available on the triple-quadrupole instrument and the low baseline provided by the H2-injected source, our rationale became to increase the extractor lens and attempt to increase the dynamic range, perhaps at the cost of some sensitivity of detection. Increasing the lens dimension from 3 mm to 6 mm did in fact increase the dynamic range, but with a surprisingly small reduction in sensitivity. The additional step from 6 mm to 9 mm again increased dynamic range, with only a minor difference in sensitivity. Importantly, the alteration of the 3 mm extraction lens to 9 mm also reduces the surface area available for PAH deposition, a consideration we hoped might solve our erratic ISTD problems. The final combination retains excellent sensitivity, broad dynamic range and provides extremely consistent ISTD values, as seen in Table 1.

With current methodologies, inadvertent misidentification of non-resolved peaks can lead to erroneous calculations of risk. In specific cases, such as chrysene and triphenylene, the inability to completely resolve co-eluting peaks has led to the practice of “lumping”, such that the co-elution peak area is presumed to be equally descendent of both compounds. Risk assessment using such indiscriminately combined values is inherently inaccurate; an effect exacerbated by differences in RPF between co-eluting compounds [41].

Anticipating the application of the modified instrumentation to field-generated samples which might require extraction prior to analysis, seven additional deuterated standards ranging from two-ring (naphthalene-D8) to six-ring (benzo[g,h,i]perylene-D12) were utilized. While differences in analytical performance are always a consideration, pre-extraction addition of these surrogates provides a direct and rigorous method to correct for extraction and recovery efficiencies.

4. Conclusion

These improvements in the art allow rigorous and robust characterization of 62 individual PAHs from a complex mixture. H2-injection into the source increased sensitivity and robustness by alleviating the need for iterative cleaning and recalibration. The incorporation of a 9 mm extractor lens in addition to the H2-injection extended the dynamic range while retaining the sensitivity typical of a standard 3 mm lens. Meticulous optimization of method parameters and the utilization of a PAH-select column coupled with the novel instrumentation modifications expand the suite of PAHs subject to rigorous quantification. The ability to analyze a broader spectrum of PAHs on GC-EI/MS/MS instruments with these defined modifications increases opportunities for accurate monitoring and analysis which, in turn, leads to better opportunities for risk management and more effective regulation.

Supplementary Material

Suppl 1

Acknowledgments

This work was supported by NIEHS grant P42 ES016465. The authors wish to acknowledge Josh Willmarth for his help with figures and manuscript preparation and the support of the Food Safety and Environmental Stewardship program at Oregon State University.

Footnotes

Appendix A. Supplementary data

Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.chroma.2015.09.054.

References

  • 1.Schwarzenbach RP, Gschwend PM, Imboden DM. Environmental Organic Chemistry. 2. John Wiley & Sons, Inc; Hoboken, NJ: 2003. [Google Scholar]
  • 2.Lee W-J, Wang Y-F, Lin T-C, Chen Y-Y, Lin W-C, Ku C-C, Cheng J-T. PAH characteristics in the ambient air of traffic-source. Sci Total Environ. 1995;159:185–200. [Google Scholar]
  • 3.Lohmann R, Corrigan BP, Howsam M, Jones KC, Ockenden W. Further developments in the use of semipermeable membrane devices (SPMDs) as passive air samplers for persistent organic pollutants: field application in a spatial survey of PCDD/Fs and PAHs. Environ Sci Technol. 2001;35:2576–2582. doi: 10.1021/es0001862. [DOI] [PubMed] [Google Scholar]
  • 4.Fellin P, Dougherty D, Barrie LA, Toom D, Muir D, Grift N, Lockhart L, Billeck B. Air monitoring in the arctic: results for selected persistent organic pollutants for 1992. Environ Toxicol Chem. 1996;15:253–261. [Google Scholar]
  • 5.Maliszewska-Kordybach B. Sources, concentrations, fate and effects of poly-cyclic aromatic hydrocarbons (PAHs) in the environment. Pol J Environ Stud. 1999;8:131–136. Part A: PAHs in air. [Google Scholar]
  • 6.Hassan S, Khoder MI. Gas–particle concentration, distribution, and health risk assessment of polycyclic aromatic hydrocarbons at a traffic area of Giza, Egypt. Environ Monit Assess. 2012;184:3593–3612. doi: 10.1007/s10661-011-2210-8. [DOI] [PubMed] [Google Scholar]
  • 7.Karimi P, Peters K, Bidad K, Strickland P. Polycyclic aromatic hydrocarbons and childhood asthma. Eur J Epidemiol. 2015:1–11. doi: 10.1007/s10654-015-9988-6. [DOI] [PubMed] [Google Scholar]
  • 8.Kuo CY, Cheng YW, Chen CY, Lee H. Correlation between the amounts of polycyclic aromatic hydrocarbons and mutagenicity of airborne particulate samples from Taichung City, Taiwan. Environ Res Sect A. 1998;78:43–49. doi: 10.1006/enrs.1998.3838. [DOI] [PubMed] [Google Scholar]
  • 9.Forsberg ND, Stone D, Harding A, Harper B, Harris S, Matzke MM, Cardenas A, Waters KM, Anderson KA. Effect of Native American fish smoking methods on dietary exposure to polycyclic aromatic hydrocarbons and possible risks to human health. J Agric Food Chem. 2012;60:6899–6906. doi: 10.1021/jf300978m. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Forsberg ND, Wilson GR, Anderson KA. Determination of parent and substituted polycyclic aromatic hydrocarbons in high-fat salmon using a modified QuEChERS extraction, dispersive SPE and GC–MS. J Agric Food Chem. 2011;59:8108–8116. doi: 10.1021/jf201745a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Larsson BK, Sahlberg GP, Eriksson AT, Busk LA. Polycyclic aromatic hydrocarbons in grilled food. J Agric Food Chem. 1983;31:867–873. doi: 10.1021/jf00118a049. [DOI] [PubMed] [Google Scholar]
  • 12.Jägerstad M, Skog K. Genotoxicity of heat-processed foods. Mutat Res. 2005;574:156–172. doi: 10.1016/j.mrfmmm.2005.01.030. [DOI] [PubMed] [Google Scholar]
  • 13.Lee C-K, Cho S-H, Kang J-W, Lee S-J, Ju Y-S, Sung J, Strickland PT, Kang D. Comparison of three analytical methods for 1-hydroxypyrene glucuronide in urine after non-occupational exposure to polycyclic aromatic hydrocarbons. Toxicol Lett. 1999;108:209–215. doi: 10.1016/s0378-4274(99)00091-0. [DOI] [PubMed] [Google Scholar]
  • 14.Kang D, Lee K-H, Lee K-M, Kwon H-J, Hong Y-C, Cho S-H, Strickland PT. Design issues in cross-sectional biomarkers studies: urinary biomarkers of PAH exposure and oxidative stress. Mutat Res. 2005;592:138–146. doi: 10.1016/j.mrfmmm.2005.06.009. [DOI] [PubMed] [Google Scholar]
  • 15.Usenko S, Massey Simonich SL, Hageman KJ, Schrlau JE, Geiser L, Campbell DH, Appleby PG, Landers DH. Sources and deposition of polycyclic aromatic hydrocarbons to Western U.S. National Parks. Environ Sci Technol. 2010;44:4512–4518. doi: 10.1021/es903844n. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wickliffe J, Overton E, Frickel S, Howard J, Wilson M, Simon B, Echsner S, Nguyen D, Gauthe D, Blake D, Miller C, Elferink C, Ansari S, Fernando H, Trapido E, Kane A. Evaluation of polycyclic aromatic hydrocarbons using analytical methods, toxicology, and risk assessment research: seafood safety after a petroleum spill as an example. Environ Health Perspect. 2014;122:6–9. doi: 10.1289/ehp.1306724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tobiszewski M, Namieśnik J. PAH diagnostic ratios for the identification of pollution emission sources. Environ Pollut. 2012;162:110–119. doi: 10.1016/j.envpol.2011.10.025. [DOI] [PubMed] [Google Scholar]
  • 18.Haritash AK, Kaushik CP. Biodegradation aspects of polycyclic aromatic hydrocarbons (PAHs): a review. J Hazard Mater. 2009;169:1–15. doi: 10.1016/j.jhazmat.2009.03.137. [DOI] [PubMed] [Google Scholar]
  • 19.Edwards NT. Polycyclic aromatic hydrocarbons (PAH’s) in the terrestrial environment—a review. J Environ Qual. 1983;12:427–441. [Google Scholar]
  • 20.The United States Environmental Protection Agency. Integrated Risk Information System (IRIS) 2005 [Google Scholar]
  • 21.Forsberg ND, Smith BW, Sower GJ, Anderson KA. Predicting polycyclic aromatic hydrocarbon concentrations in resident aquatic organisms using passive samplers and partial least-squares calibration. Environ Sci Technol. 2014;48:6291–6299. doi: 10.1021/es5000534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Anderson KA, Seck D, Hobbie KA, Traore AN, McCartney MA, Ndaye A, Forsberg ND, Haigh TA, Sower GJ. Passive sampling devices enable capacity building and characterization of bioavailable pesticide along the Niger, Senegal and Bani Rivers of Africa. Philos Trans R Soc Lond Ser B: Biol Sci. 2014;369:20130110. doi: 10.1098/rstb.2013.0110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Tidwell LG, Allan SE, O’Connell SG, Hobbie KA, Smith BW, Anderson KA. Polycyclic aromatic hydrocarbon (PAH) and oxygenated PAH (OPAH) air–water exchange during the deepwater horizon oil spill. Environ Sci Technol. 2014;49:141–149. doi: 10.1021/es503827y. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 24.Wenzl T, Simon R, Anklam E, Kleiner J. Analytical methods for polycyclic aromatic hydrocarbons (PAHs) in food and the environment needed for new food legislation in the European Union. Trends Anal Chem. 2006;25:716–725. [Google Scholar]
  • 25.Plaza-Bolaños P, Frenich AG, Vidal JLM. Polycyclic aromatic hydrocarbons in food and beverages. Analytical methods and trends. J Chromatogr A. 2010;1217:6303–6326. doi: 10.1016/j.chroma.2010.07.079. [DOI] [PubMed] [Google Scholar]
  • 26.Poster D, Schantz M, Sander L, Wise S. Analysis of polycyclic aromatic hydrocarbons (PAHs) in environmental samples: a critical review of gas chromatographic (GC) methods. Anal Bioanal Chem. 2006;386:859–881. doi: 10.1007/s00216-006-0771-0. [DOI] [PubMed] [Google Scholar]
  • 27.Schubert P, Schantz MM, Sander LC, Wise SA. Determination of polycyclic aromatic hydrocarbons with molecular weight 300 and 302 in environmental-matrix standard reference materials by gas chromatography/mass spectrometry. Anal Chem. 2003;75:234–246. doi: 10.1021/ac0259111. [DOI] [PubMed] [Google Scholar]
  • 28.Bergvall C, Westerholm R. Determination of dibenzopyrenes in standard reference materials (SRM) 1649a, 1650, and 2975 using ultrasonically assisted extraction and LC–GC–MS. Anal Bioanal Chem. 2006;384:438–447. doi: 10.1007/s00216-005-0192-5. [DOI] [PubMed] [Google Scholar]
  • 29.Bergvall C, Westerholm R. Identification and determination of highly carcinogenic dibenzopyrene isomers in air particulate samples from a street canyon, a rooftop, and a subway station in Stockholm. Environ Sci Technol. 2007;41:731–737. doi: 10.1021/es062232p. [DOI] [PubMed] [Google Scholar]
  • 30.Sakuma TLD, Seto C, Schreiber A, Wittrig R. Analysis of Polycyclic Aromatic Hydrocarbons (PAH), Alkylated Derivatives and Photo-degredation Products in Environmental and Food Samples using LC–FLD–MS/MS with Q TRAP Technology. AB Sciex Application Note. 2011 http://sciex.com/Documents/brochures/PAH_seafood_water_QTRAP4k_4520411.pdf.
  • 31.Danyi S, Brose F, Brasseur C, Schneider Y-J, Larondelle Y, Pussemier L, Robbens J, De Saeger S, Maghuin-Rogister G, Scippo M-L. Analysis of EU priority polycyclic aromatic hydrocarbons in food supplements using high performance liquid chromatography coupled to an ultraviolet, diode array or fluorescence detector. Anal Chim Acta. 2009;633:293–299. doi: 10.1016/j.aca.2008.11.049. [DOI] [PubMed] [Google Scholar]
  • 32.Šimko P. Determination of polycyclic aromatic hydrocarbons in smoked meat products and smoke flavouring food additives. J Chromatogr B. 2002;770:3–18. doi: 10.1016/s0378-4347(01)00438-8. [DOI] [PubMed] [Google Scholar]
  • 33.Allan SE, Smith BW, Anderson KA. Impact of the deepwater horizon oil spill on bioavailable polycyclic aromatic hydrocarbons in Gulf Of Mexico coastal waters. Environ Sci Technol. 2012;46:2033–2039. doi: 10.1021/es202942q. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Oostdijk J. Separation of 54 PAHs on an Agilent J&W Select PAH GC Column. Agilent Application note. http://www.chem.agilent.com/Library/applications/SI-02232.pdf.
  • 35.Jautzy J, Ahad JME, Gobeil C, Savard MM. Century-long source apportionment of PAHs in Athabasca oil sands region lakes using diagnostic ratios and compound-specific carbon isotope signatures. Environ Sci Technol. 2013;47:6155–6163. doi: 10.1021/es400642e. [DOI] [PubMed] [Google Scholar]
  • 36.Paulik LB, Donald CE, Smith BW, Tidwell LG, Hobbie KA, Kincl L, Haynes EN, Anderson KA. Impact of natural gas extraction on PAH levels in ambient air. Environ Sci Technol. 2015;49:5203–5210. doi: 10.1021/es506095e. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 37.Lim H, Mattsson A, Jarvis IW, Bergvall C, Bottai M, Morales DA, Kumm-row F, Umbuzeiro GA, Stenius U, Westerholm R, Dreij K. Detection of benz[j]aceanthrylene in urban air and evaluation of its genotoxic potential. Environ Sci Technol. 2015 doi: 10.1021/es505458g. [DOI] [PubMed] [Google Scholar]
  • 38.Layshock J, Simonich SM, Anderson KA. Effect of dibenzopyrene measurement on assessing air quality in Beijing air and possible implications for human health. J Environ Monit. 2010;12:2290–2298. doi: 10.1039/c0em00057d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Menichini E, Merli F. Dibenzopyrenes, other PAHs with molecular weight 302, and selected carcinogenic PAHs seldom determined: identification and one-year quantification in urban air. Int J Environ Anal Chem. 2012:92. 1609–1625. [Google Scholar]
  • 40.Layshock JA, Wilson G, Anderson KA. Ketone and quinone-substituted poly-cylic aromatic hydrocarbons in mussel tissue, sediment, urban dust, and diesel particulate matrices. Environ Toxicol Chem. 2010;29:2450–2460. doi: 10.1002/etc.301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Peters CA, Knightes CD, Brown DG. Long-term composition dynamics of PAH-containing NAPLs and implications for risk assessment. Environ Sci Technol. 1999;33:4499–4507. [Google Scholar]

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