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Article

Applications of Sample Preparation Techniques in the Analysis of New Psychoactive Substances

1
Leverhulme Research Centre for Forensic Science, University of Dundee, Dundee DD1 4HN, UK
2
Forensic Medicine and Science, University of Glasgow, University Place, Glasgow G12 8QQ, UK
3
SPA Forensic Services, Govan, Glasgow G69 8AE, UK
4
Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
*
Author to whom correspondence should be addressed.
Separations 2024, 11(9), 258; https://doi.org/10.3390/separations11090258
Submission received: 20 July 2024 / Revised: 13 August 2024 / Accepted: 28 August 2024 / Published: 30 August 2024

Abstract

:
The global rise of new psychoactive substances (NPSs) poses challenges for their analysis in biological matrices due to their complex chemistries and short market lifespan. A comparative study for the simultaneous extraction, separation, and detection of 19 NPSs was conducted. Six solid-phase extraction (SPE) methods and one supported liquid extraction method (SLE) were compared for the extraction of analytes from blood, serum, plasma, and urine. Comparisons of four derivatization agents were conducted, at four temperatures and two incubation times. Extraction methods were assessed by precision, sensitivity, and extraction efficiency. Derivatizing agents were assessed on their selectivity and sensitivity, and a three-way ANOVA was conducted to determine statistical significance. CSDAU SPE cartridges were shown to be the most efficient when extracting analytes from blood, serum, and plasma, whereas Xcel I cartridges performed the strongest when extracting analytes from urine. SPE extraction efficiencies, when utilizing the best-performing cartridges, ranged from 49 to 119%. SLE successfully extracted all analytes from all matrices (ranging from 22 to 120%). Pentafluoropropionic anhydride: ethyl acetate was the most successful derivatizing agent, allowing all analytes to be detected, with the highest peak area responses and more unique spectra. The optimum temperature for incubation was 37 °C, with no statistical difference found between the two incubation times.

1. Introduction

New psychoactive substances (NPSs) have appeared on the recreational drug market at an unprecedented rate in the last decade, with the European Monitoring Centre for Drug and Drug Addiction (EMCDDA) now monitoring over 800 NPSs [1]. These compounds have been designed to mimic existing illicit compounds, such as cannabis and 3,4-methylenedioxymethamphetamine (MDMA, Ecstasy), whilst evading current legislative control [2]. In order to limit the number of uncontrolled new compounds entering the recreational drug market, many countries, including the United Kingdom (UK) and the United States of America (USA), have introduced sweeping legislation that bans classes of compounds, rather than just those specifically named [3]. Despite this, recreational abuse of these compounds continues worldwide, with stimulants comprising 35% of all NPSs reported to the United Nations Office on Drugs and Crime Early Warning Advisory System [4]. For example, NPS Discovery, an open-access drug early-warning system based in the USA, continued to identify mephedrone in 2024, with this compound also continuing to be listed in drug-related deaths in the UK [5,6]. As the use of NPSs increases, so does knowledge in relation to the administration and dosing for each substance, reducing negative outcomes. This can falsely indicate that some NPSs are no longer in circulation such as 6-(2-aminopropyl)benzofuran (6-APB) and ethylone, which were both detected by the Welsh Emerging Drugs and Identification of Novel Substances (WEDINOS) project in 2024 [7]. This changing market therefore poses a unique challenge to forensic toxicology laboratories attempting to keep pace with the changing drug landscape [8].
The term NPS encompasses a wide range of compounds with different physicochemical properties, including solubility, volatility, and stability, making the development of methods capable of extracting, separating, and analyzing NPSs challenging [9]. Many of these compounds are only in circulation for a limited time, and therefore full-method optimization and validation is not always possible or cost-effective. As a result, laboratories may seek to detect these compounds using existing methods, resulting in quicker method validation.
Sample preparation is a critical step in the analysis of compounds in biological matrices, and is a leading cause of error during analysis [10]. Forensic biological samples are typically complex matrices containing lipids, fatty acids, and proteins. The degree to which sample clean-up is required will be determined by the sample type, (post or ante-mortem), as well as the instrument being used for analysis. The efficiency of sample extraction methods will have a direct effect on the sensitivity and specificity of the detection method, impacting the methods’ limit of detection and quantification. This is an important point to note as many NPSs are more potent than the drugs that they are designed to mimic, and so are detected at lower concentrations [11].
As well as optimizing the extraction technique to be used for the detection of NPSs, when compounds are to be analyzed by gas chromatography–mass spectrometry (GC-MS), derivatization may be necessary due to the high polarity of many of these compounds [12]. Although many laboratories have transitioned to the use of liquid chromatography–tandem mass spectrometry (LC-MS/MS), due to the increased potency of NPSs, GC-MS continues to be widely used for both screening and confirmation analysis in clinical and postmortem toxicology [13]. This is especially true in developing countries where significant cost barriers can prohibit the purchase and maintenance of LC-MS/MS instrumentation [14]. As NPSs are structurally diverse, their physicochemical properties can vary widely, making them difficult to detect and quantify. The close structural similarities between compounds can also result in mass spectra with similar ion fragmentation patterns, making the differentiation of these compounds more difficult. Derivatization can overcome these challenges by modifying the target compounds to produce derivatives that have improved chromatographic properties, such as increased volatility, polarity, or ionizability, which can enhance their separation and detection, thus increasing method sensitivity and selectivity. Two of the most commonly used derivatization methods for the analysis of drugs are silylation and acylation. In silylation reactions, the reagent reacts with active hydrogens, whereas in acylation reactions, the reagent reacts with polar functional groups.
Although there has been a wide range of published methods for the detection of NPSs, these involve several different extraction methods, derivatization solvents, and incubation conditions, making it more challenging for analysts to identify optimum parameters [15,16,17,18,19]. This research evaluated four commonly encountered derivatization agents, along with varying incubation times and temperatures, to identify the optimum derivatization conditions that allow for the simultaneous detection of a wide range of NPSs (shown in Table 1). The work also evaluated six different solid-phase extraction (SPE) cartridges as well as a supported liquid extraction (SLE) method for the extraction of these compounds from blood, urine, plasma, and serum.

2. Materials and Methods

2.1. Chemicals and Reagents

Butylone, ethylone, Methylenedioxypyrovalerone (MDPV), naphyrone, 3,4,5-trimethoxy-N-[(2-methoxyphenyl)methyl]-benzeneethanamine (mescaline-NBOMe), 2-(2,5-Dimethoxy-4-nitrophenyl)-N-[(2-methoxyphenyl)methyl]ethan-1-amine (25N-NBOMe), and 2-(4-Propyl-2,5-dimethoxyphenyl)-N-[(2-methoxyphenyl)methyl] (25P-NBOMe) were purchased from LIPOMED (MA, USA). 2-(2,5-dimethoxy-4-methylphenyl)-N-(2-methoxybenzyl)ethanamine (25D-NBOMe), 2-(4-ethyl-2,5-dimethoxyphenyl)-N-(2-methoxybenzyl)ethan-1-amine (25E-NBOMe), 2-(2,5-dimethoxyphenyl)-N-(2-methoxybenzyl)ethanamine (25H-NBOMe), 4-iodo-2,5-dimethoxy-N-[(2-methoxyphenyl)methyl]-benzeneethanamine (25I-NBOMe), and 25I-NBOMe-D3 were purchased from Cayman Chemical (Ann Arbor, MI, USA). Flephedrone, mephedrone, methoxetamine (MXE), MDPV-D8, methylone-D3, and mephedrone-D3 were purchased from Cerilliant (Round Rock, TX, USA). 3-methoxyeticyclidine (3-MeO-PCE), 5-(2-aminoproprly)benzofuran (5-APB) and 6-APB, benzedrone, methiopropamine (MPA), and ethylone-D5 were purchased from Logical (Milford, MA, USA). All reference material was purchased as 1 mg/mL ampules.
Pentafluoropropionic anhydride (PFPA) and trifluoroacetic anhydride (TFAA) were purchased from Sigma Aldrich (St Louis, MO, USA). N-Methyl-N-(trimethylsilyl)trifluoroacetamide (MSTFA) was purchased from Pierce, (Rockford, IL, USA), and N-Trimethylsilylimidazole (TMSI):pyridine (1:4) was purchased from Supelco (Bellefonte, PA, USA). All other chemicals such as ethyl acetate (EtOAc) and methanol (MeOH) were of analytical grade and purchased from Grainger (Ann Arbor, MI, USA).

2.2. Preparation of Standards

Stock solutions (100 µg/mL) of each analyte were prepared via a 1:10 dilution with MeOH. These were then used to prepare mixed methanolic working solutions (10 µg/mL) by further 1:10 dilution. An internal standard (I.S.) mixed methanolic solution (10 µg/mL) containing all 5 internal standards was prepared in the same manner.

2.3. Biological Specimens

Blank human whole blood, plasma, and serum were purchased from Golden West Biologicals Inc.® (Temecula, CA, USA). Blank drug-free human urine was collected in-house from a willing donor. A 1 mL aliquot of each specimen was used during analysis.

2.4. Extraction Cartridges

SPE cartridges (ZSDAU020, CSDAU133, XRDAH206, XRPCH50z, and XCEL I) were supplied by United Chemical Technologies (Bristol, PA, USA). Oasis® cartridges were supplied by Waters (Milford, MA, USA). SLE ISOLUTE® cartridges were supplied by Biotage (Charlotte, NC, USA).

2.5. Derivatization Method Optimization

To 96 test tubes, 100 µL of each methanolic working solution (10 µg/mL) was added. The solvent was then evaporated to dryness using a TurboVap® LV (Biotage, Charlotte, NC, USA) sample concentrator at room temperature. To a set of test tubes (n = 24), 50 µL of PFPA:EtOAc (2:1), 100 µL of MSTFA:toluene (1:3), 100 µL of TMSI:pyridine (1:4), or 100 µL of TFAA:EtOAc (2:1) was added. Each set of samples was then derivatized at room temperature 24°, 37 °C, 50 °C, or 70 °C for 20 or 40 min. Each temperature and incubation time combination was prepared in triplicate. After derivatization, samples were evaporated to dryness before being reconstituted in 100 µL of EtOAc and analyzed by GC-MS. The GC-MS was operated in full scan mode (m/z 40–450 amu). Peak areas were compared, and three-way ANOVA was undertaken to determine significant statistical differences between the derivatizing agent, incubation temperature, and incubation time for each NPS using SPSS (IBM, Statistics 26). The quality of fragmentation ions was also assessed, with derivatizing agents providing more unique spectra and higher m/z fragments being favored. A graphical representation of the derivatization study design can be found in Figure 1.

2.6. Sample Extraction Evaluation

2.6.1. Unextracted Methanolic Sample Preparation

To assess the extraction efficiency for each extraction method, unextracted methanolic standards were prepared in triplicate for each extraction procedure to account for inter-day instrumentation differences. Methanolic standards were made by pipetting 100 µL of each working solution mixture (10 µg/mL) and 100 µL of the I.S. mixture (10 µg/mL) into glass test tubes before evaporating to dryness under nitrogen gas at room temperature. The methanolic standards were then derivatized using 50 µL of PFPA:EtOAc (2:1) for 20 min at 37 °C before being evaporated to dryness once again. The methanolic standards were then reconstituted in 100 µL of EtOAc before being analyzed by GC-MS.

2.6.2. Solid-Phase Extraction Method-ZSDAU020, CSDAU133, XRDAH206, XRPCH50z

To 1 mL of each biological matrix, 1 mL of 0.1 M phosphate buffer (pH 6.0) was added. Samples were then vortex-mixed for 30 s and centrifuged for 5 min at 3500 rpm using a Combo V24 centrifuge (Global Industrial, Buford, GA, USA). The cartridges were conditioned using 3 mL MeOH, 3 mL deionized water (dH2O), and 1 mL phosphate buffer (0.1 M, pH 6.0). Samples were then loaded to the cartridges at a rate of 1 mL/min. Cartridges were then washed using dH2O (3 mL), 0.1 M acetic acid (1 mL), and MeOH (3 mL), before being left to dry under vacuum for 5 min. Samples were eluted using dichloromethane (DCM); iso-propanol (IPA); ammonium hydroxide (NH4OH) at a ratio of 78:20:2. The elution mixture was prepared fresh each day.

2.6.3. Solid-Phase Extraction Method—XCEL I

To 1 mL of each biological matrix, 1 mL of 0.1 M phosphate buffer (pH 6.0) was added. Samples were then vortex-mixed for 30 s and centrifuged for 5 min at 3500 rpm. Samples were loaded directly to the XCEL I cartridges and washed with 2% acetic acid/98% methanol (1 mL) before elution with 1 mL DCM/IPA/NH4OH (78:20:2).

2.6.4. Solid-Phase Extraction Method—OASIS®

Prior to extraction, 1 mL of each biological matrix was vortexed for 30 s and centrifuged for 5 min at 3500 rpm. Cartridges were conditioned with 1 mL of MeOH and 1 mL dH2O prior to loading samples. These were then washed using 2% acetic acid (2 mL) and MeOH (1 mL) prior to elution with 95% methanol with 5% ammonium hydroxide (2 mL).

2.6.5. Post Solid-Phase Extraction Method

After extraction, I.S. (mephedrone-D3, methylone-D3, ethylone-D5, MDPV-D8, and 25I-NBOMe-D3) was added to the collection tubes prior to elution. Samples were then evaporated to dryness with nitrogen gas using a Pierce 18830 Reacti-Therm III heating module with Pierce Reacti-Vap (American Instrument Exchange, Haverhill, MA, USA), before derivatization using 50 µL of PFPA:EtOAc (2:1) for 20 min at 37 °C. Samples were then evaporated to dryness once again and reconstituted in 100 µL of EtOAc before being analyzed by GC-MS.
Each extraction was performed in triplicate, and each SPE cartridge’s composition is shown in Table 2.

2.6.6. Supported Liquid Extraction (SLE) Method

Urine, blood, plasma, and serum samples (1 mL) were spiked with 100 µL of each working solution (10 µg/mL). The pH of each sample was then adjusted to pH 10 using 1% NH4OH. Samples were centrifuged for 10 min at 4500 rpm and loaded directly to the SLE ISOLUTE® columns. The samples were left on the columns for 5 min before being eluted twice using 4 mL of EtOAc. To the eluant 100 µL of I.S. working solution (10 µg/mL) was then added before samples were vortexed for 30 s and evaporated under nitrogen gas at room temperature. The samples were then derivatized using 50 µL of PFPA:EtOAc (2:1) at 37 °C for 20 min before being evaporated again and reconstituted in 100 µL of EtOAc for analysis via GC-MS.

2.6.7. Extraction Efficiency Determination for Both SPE and SLE

Extraction efficiency was determined by calculating the difference in peak area ratio (PAR) between those obtained from samples that underwent extraction to those from the methanolic standards as per Equation (1). The extraction efficiencies obtained were compared to those of the best-performing SPE cartridge (CSDAU133). A paired t-test was conducted to determine any statistical significance between extraction methods, using SPSS (IBM, Statistics 26).
I.S. was added after SPE or SLE extraction in all cases. This meant that only the analytes were impacted by the extraction process, and therefore changes in PAR could be attributed to this step. The use of I.S. also ensured that any changes in analyte concentration post-extraction, via the evaporation or derivatization process, were accounted for as this should happen to both analyte and I.S.
% E x t r a c t i o n   E f f i c i e n c y = P A R   E x t r a c t e d   S a m p l e P A R   M e t h a n o l i c   S t a n d a r d × 100
Equation (1): % extraction efficiency.

2.7. Instrumentation

Analysis was carried out using an Agilent GC-MSD 5975C series instrument (Agilent Technologies, Santa Clara, CA, USA) fitted with a J&W DB-5ms low bleed column (30 m × 0.32 mm i.d.; film thickness 0.25 μm). The GC-MS was operated in full scan mode with an EI source and a splitless injection. The injection port temperature was 225 °C; the transfer line temperature was 250 °C with an MS source temperature of 200 °C. The carrier gas was helium at a continuous flow of 1.5 mL/min. The initial oven temperature was 80 °C, which was held for 2 min, before ramping to 170 °C at a rate of 25 °C/min and held for 1 min. The temperature was then further increased to 200 °C at 5 °C/min and held for 1 min before being increased to 250 °C at a rate of 15 °C/min. Finally, the oven temperature was increased to 300 °C at a rate of 5 °C and held for 3 min. The total run time was 30 min. Data were analyzed using Agilent’s ChemStation software (version 02.02.1431). The method was previously validated to SWGTOX guidelines [18].

3. Results and Discussion

3.1. Derivatization

The ions used for the detection of each NPS when incubated with each derivatization agent are shown in Table 3. The target ions (highlighted in bold) were used to determine peak areas for each analyte after derivatization with each agent. From this table, it is evident that only PFPA:EtOAc and TFAA:EtOAc resulted in the detection of all 19 NPSs. Using MSTFA:toluene, MPA and flephedrone were unable to be detected; however, it is possible that this is a result of these compounds eluting during the GC-MS method solvent delay. Using TMSI:pyridine, 5-APB, 6-APB, benzedrone, butylone, ethylone, flephedrone, mephedrone, and MPA were unable to be detected. This is because these compounds do not contain hydroxyl groups but instead contain ketones and amines. Although TMSI can react with some carbonyl groups, these reactions are often slow and result in poor yields. Furthermore, TMSI cannot react with amine groups, present in many of the compounds used in this study [20].
The optimum derivatization temperature and time for each compound using each reagent is shown in Table 4. The derivatizing agent, incubation temperature, and incubation time that provided the highest peak area overall have been highlighted in bold. Although both PFPA:EtOAc and TFAA:EtOAc allowed for all compounds to be detected, PFPA:EtOAc was the best derivatizing agent overall, providing the greater peak areas for 17 out of the 19 compounds examined. The average peak area of analytes derivatized by PFPA:EtOAc was 4,781,426 in comparison with MSTFA:toluene (1,223,928), TFFA:EtOAc (1,324,905), and TMSI:pyridine (1,703,460).
The ability of PFPA to react with a wide range of functional groups including primary and secondary amines, phenols, and carboxylic acids makes it particularly useful when analyzing unknown compounds of different chemistries [21]. It is not surprising, therefore, that PFPA has been previously used for the detection of NPSs including synthetic cathinones and NBOMes [18,22,23]. Although NBOMes are typically analyzed using LC-MS/MS, in the case of fatal overdose, concentrations may be high enough to be detected via GC-MS [18,24,25,26]. The use of PFPA:EtOAc allows for easier differentiation between NBOMe compounds with the derivatized parent molecule frequently detected. Figure 2 illustrates the derivatized 25D-NBOMe with a molecular weight of 461, which is detected when analyzed by GC-MS, unlike the non-derivatized molecule, which has a molecular weight of 315. Due to their structural similarity, these compounds can be difficult to separate chromatographically. Derivatization, which modifies the compounds, aids in their separation by producing unique ions that improve differentiation. This is particularly important as these compounds have been shown to have differing potencies [27].
As shown in Table 4, incubation temperature was deemed a statistically significant variable for 25I-NBOMe only (p = 0.002). The optimum incubation temperature varied for each derivatizing agent, with compounds derivatized using PFPA:EtOAc and MSTFA:toluene performing best at 24 °C, in comparison to TFAA:EtOAc, which performed better at 37 °C and TMSI:pyridine, which performed better at 37 °C. There was a clear difference between synthetic cathinones and NBOMes with regards to optimum incubation temperatures when derivatized using MSTFA:toluene and TFAA:EtOAc, with NBOMes preferring 50 °C, and synthetic cathinones 24 °C and 37 °C, respectively. When derivatized using PFPA:EtOAc, there was more variation between optimum temperatures, with five of the seven NBOMes analyzed preferring 37 °C, and four of the seven synthetic cathinones preferring 70 °C. Previous work examining optimum derivatization temperatures for synthetic cathinones also found 70 °C to be the optimum temperature for these compounds using PFPA:EtOAc [28]. However, the use of lower temperatures for the analysis of NBOMes contradicts previously published methods, which used higher temperatures [28]. Previously published literature incubated these analytes at 70 °C for 40 min, which this study found not to be necessary [29]. This previous research focused on the detection of NBOMes in blotter papers where concentrations are much higher than those found in biological matrices, and therefore analyte loss in these instances would not be as important to avoid. In toxicological cases, NBOMe doses are much lower than those of cathinones (typically in the µg range), and thus their identification should be prioritized over compounds where the concentrations detected in biological matrices will be higher.
Incubation time did not have any statistically significant effect on the peak areas detected for each derivatizing agent at each incubation temperature; however, 10 analytes achieved optimum peak areas when incubated for 40 min compared to 9 preferring 20 min. As there was no statistical significance between the two times; however, the shorter 20 min time is recommended, especially for high-throughput laboratories, or instances where GC-MS is used for screening.
Not all NPSs used within this study underwent derivatization in the presence of the agents used such as MPDV and naphyrone. These compounds contain nitrogen atoms capable of forming a protonated ion during analysis by mass spectrometry, allowing detection without derivatization. It is important however to include these compounds, as although they do not require derivatization, in the case of naphyrone, their metabolites do [30]. Polydrug use is also common in cases involving NPSs and therefore it is likely that compounds that do not require derivatization, such as these, will undergo this process during analysis to allow for the detection of other compounds within the sample such as amphetamines [31].
This study highlights the importance of choosing the correct derivatization agent to allow for the detection of these analytes using GC-MS. Although LC-MS/MS is now viewed as the gold standard for the detection of analytes within biological samples, there are laboratories that continue to rely on GC-MS for both screening and quantification, particularly within the global south where NPS detection is thought to be under-reported [32]. Optimizing derivatization reagent choice and incubation parameters is important to ensure these laboratories can still detect these substances.

3.2. Solid-Phase Extraction

All cartridges were able to extract each NPS from each matrix except for the XRPCH50Z cartridge, which failed to extract any of the NPSs. As the compounds used in this study were predominantly synthetic cathinones, which are often ionized in aqueous solutions, they are less likely to interact with hydrophobic sorbents such as that found within the XRPCH50Z cartridge [33]. The type of cartridge that provided the highest extraction efficiency, along with the extraction efficiency for each drug, is shown in Table 5.
The average optimum extraction efficiency for analytes from blood was 84% (ranging 49–115%). The cartridge that proved to be the most effective at recovering each of the 19 NPSs in blood was the CSDAU133, (n = 15), followed by ZSDAU020 (n = 2) and XRDAH 206 (n = 1) and XCEL 1 (n = 1). The optimum extraction efficiency for urine samples was the highest of all matrices tested at 95%, (ranging 70–119%). This is not surprising as urine was the simplest matrix tested. Both CSDAU133 and XCEL 1 cartridges had the best extraction efficiency for six analytes from urine, followed by ZSDAU020 (n = 3). XCEL 1 cartridges do not require conditioning prior to sample loading, and therefore are particularly suited for urine, especially for clinical high throughput laboratories. The average extraction efficiency of the 19 analytes extracted from plasma was 90% (ranging 49–117%). Again, the CSDAU133 cartridges performed well, achieving the highest extraction efficiency for 12 analytes, followed by the ZSDAU020 cartridges (n = 3). The average extraction efficiency of the 19 analytes extracted from serum was 81% (ranging 32–118%). Again, the CSDAU133 cartridge performed the strongest, achieving the highest extraction efficiency for 9 of the 19 analytes extracted.
Overall, the CSDAU133 cartridge performed strongest, achieving the highest extraction efficiency for 55% of analytes across all matrices. This was followed by the ZSDAU020 and XCEL 1 cartridges, which allowed the highest extraction efficiency for 18% and 17% of the analytes across all matrices. CSDSAU133 and ZSDAU020 both use the mixed mode (reverse phase and an ion exchange co-polymeric bonded phase (octyl and benzyl sulfonic acid)) sorbents, which are highly selective for basic compounds, including illicit drugs containing amine groups, such as those used in this research, and therefore their strong performance is to be expected. Previous studies using cation exchange SPE cartridges have been published, with extraction efficiencies ranging from 92 to 115%. Extraction efficiency results using CSDAU133 cartridges for the extraction of NBOMes from whole blood compare favorably to those already published in the literature. Johnson et al. used DAU SPE cartridges for the extraction of NBOMes from whole blood, reporting extraction efficiencies of 82, 85, and 54% for 25D-, 25H-, and 25I-NBOMe, respectively, which are all lower than those reported here [34]. The OASIS® cartridges were not suitable for the extraction of the NPSs tested from blood, plasma, and serum. Sample breakthrough was noticed on several occasions when utilizing this cartridge, suggesting that the cartridge and sample were not properly equilibrated prior to sample loading. Further optimization of this step would be required should these cartridges be used for the detection of NPSs.
The difference in performance between CSDAU133 and ZSDAU020 cartridges is surprising as these only differ in sorbent size, 130 mg and 200 mg, respectively. Both have been used for the extraction of a wide range of NPSs from biological matrices in the literature; however, it has been shown previously that the amount of sorbent present can impact extraction efficiency [18,28,35,36]. We propose that the increased sorbent amount within the ZSDAU020 cartridge leads to an increase in the non-specific binding of other sample components, reducing the recovery of target analytes in comparison to the CSDAU133 cartridge. The reduced cartridge size (3 mL versus 10 mL) uses less solvent, and this should also be considered when selecting SPE cartridges.
Although the performance of the OASIS® cartridges in this work was poor with the exception of benzedrone, butylone, and ethylone from urine (114%, 119%, and 87%, respectively), these cartridges have been used successfully in other studies, in particular in the detection of illicit substances from wastewater [37,38,39].

3.3. Supported Liquid Extraction

Using CSDAU133 cartridges, a further comparison was made between the use of SPE and SLE for the extraction of a wide range of NPSs from blood, urine, plasma, and serum. Both SLE and SPE methods extracted all 19 NPSs from each of the matrices tested. The extraction efficiency of each NPS from each matrix using SLE and CSDAU133 SPE cartridges is shown in Table 6. The average extraction efficiency achieved using SLE for the 19 NPSs in blood was 76% (ranging 32–117%) in comparison to SPE, which achieved an average of 78% (ranging 49–112%). SPE achieved the best extraction for 10 NPSs versus SLE, which extracted 9 NPSs more efficiently than SPE.
The average extraction efficiency of the 19 NPSs extracted from urine using SLE was 73%, (ranging 48–108%) in comparison to SPE, which had an average extraction efficiency of 81% (ranging 53–116%). Although the overall extraction efficiency between SPE and SLE only differed by 8%, SPE outperformed SLE for the extraction of 14 of the analytes.
The average extraction efficiency of the 19 NPSs extracted from plasma using SLE was 63%, (ranging 22–104%), in comparison to SPE, which had an average extraction efficiency of 78% (ranging 49–105%). Again, although similar in overall extraction efficiency, SPE outperformed SLE for 13 of the 19 NPSs.
The average extraction efficiency of the 19 NPSs extracted from serum using SLE was 65%, (ranging 32–120%), in comparison to SPE, which had an average extraction efficiency of 64% (ranging 22–106%). Serum was the only matrix where SLE outperformed SPE, having the best extraction efficiency for 10 of the 19 NPSs extracted.
Although differences were observed between each analyte, assessing overall performance using a paired t-test showed that the slight differences in extraction efficiency between both SPE and SLE were not significant, except for those from plasma (p = 0.023). SLE is a much faster process as the majority of SPE cartridges still require conditioning and wash steps, which are omitted when using SLE; therefore, although there was not a statistically significant difference between techniques for blood, urine, and serum samples, the ability to process more samples faster should be taken into consideration when determining which techniques to implement within the laboratory. The omission of conditioning and wash steps also reduces the volume of solvents used during analysis and the amount of solvent waste produced by the laboratory, which should also be considered.

4. Conclusions

Of all the derivatization agents tested in this work, PFPA:EtOAc at 37 °C achieved the highest peak area responses and the most unique spectra. Incubation time did not have a significant effect on peak area, and therefore it is suggested that incubation times should be based upon the needs of the laboratory and which analytes they most commonly encounter. This SPE study showed that when analyzing biological matrices, the smaller bed size of the CSDAU133 cartridges is preferable. XRPCH50z cartridges, using the method tested, are not recommended for sample extraction of NPSs. SPE using CSDAU133 cartridges performed slightly better than SLE; however, this difference was not statistically significant. Additional factors such as time and solvent requirements should be considered when implementing extraction protocols within the laboratory. This work is particularly relevant to laboratories still reliant upon GC-MS for the analysis of biological materials.
Laboratories should continue to track which analytes are most commonly encountered within their location to prioritize which analytes are of high importance when determining which cartridge type to use. Extraction efficiencies should continue to be monitored as more NPSs are detected within the recreational drug market to ensure that methods remain current and fit for purpose. This research shows that existing methods routinely used by laboratories, such as the use of CSDAU133 and ZDSAU020 cartridges, can extract a wide range of analytes, and therefore it should be possible to detect new and emerging compounds using existing laboratory methods.

Author Contributions

Conceptualization, L.A.N. and K.S.S.; Data curation, L.A.N.; Formal analysis, L.A.N.; Investigation, L.A.N.; Methodology, L.A.N.; Project administration, L.A.N. and K.S.S.; Supervision, F.M.W. and K.S.S.; Visualization, L.A.N.; Writing—original draft, L.A.N. and K.S.S.; Writing—review and editing, L.A.N., F.M.W., and K.S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

Solid-phase extraction cartridges were donated by United Chemical Technologies. Oasis cartridges were donated by Waters. SLE cartridges were donated by Biotage.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Derivatization experimental design.
Figure 1. Derivatization experimental design.
Separations 11 00258 g001
Figure 2. m/z fragmentation pattern of PFPA derivatization of 25D-NBOMe.
Figure 2. m/z fragmentation pattern of PFPA derivatization of 25D-NBOMe.
Separations 11 00258 g002
Table 1. Compound names, CAS numbers, and chemical structures of the NPS and derivatizing agents used in this study.
Table 1. Compound names, CAS numbers, and chemical structures of the NPS and derivatizing agents used in this study.
Drug NameCAS NoChemical ClassChemical Structure
25D-NBOME1539266-35-7PhenethylamineSeparations 11 00258 i001
25E-NBOMe1539266-39-1PhenethylamineSeparations 11 00258 i002
25H-NBOME1566571-52-5PhenethylamineSeparations 11 00258 i003
25I-NBOMe1043868-97-8PhenethylamineSeparations 11 00258 i004
25N-NBOMe1566571-65-0Phenethylamine Separations 11 00258 i005
25P-NBOMe1539266-43-7Phenethylamine Separations 11 00258 i006
3-MEO-PCE1797121-52-8ArylcyclohexylamineSeparations 11 00258 i007
5-APB286834-80-8Phenethylamine Separations 11 00258 i008
6-APB286834-84-2Phenethylamine Separations 11 00258 i009
Benzedrone1797979-43-1PhenethylamineSeparations 11 00258 i010
Butylone17762-90-2PhenethylamineSeparations 11 00258 i011
Ethylone1454266-19-3PhenethylamineSeparations 11 00258 i012
Flephedrone7589-35-7PhenethylamineSeparations 11 00258 i013
MDPV2748590-34-1PhenethylamineSeparations 11 00258 i014
Mephedrone1189726-22-4PhenethylamineSeparations 11 00258 i015
Mescaline-NBOMe1354632-01-1PhenethylamineSeparations 11 00258 i016
Methiopropamine7464-94-0Thiophene analogue of methamphetamineSeparations 11 00258 i017
Methoxetamine1239908-48-5ArylcyclohexylamineSeparations 11 00258 i018
Naphyrone850352-11-3PhenethylamineSeparations 11 00258 i019
N-Methyl-N-(trimethylsilyl)trifluoroacetamide24589-78-4Silylating reagentSeparations 11 00258 i020
Pentafluoropropionic anhydride356-42-3Acylation reagentSeparations 11 00258 i021
Trifluoroacetic anhydride407-25-0Acylation reagentsSeparations 11 00258 i022
N-Trimethylsilylimidazole18156-74-6Silylating reagentSeparations 11 00258 i023
Table 2. Solid-phase extraction sorbent type, sorbent size, and cartridge size for each cartridge used.
Table 2. Solid-phase extraction sorbent type, sorbent size, and cartridge size for each cartridge used.
Cartridge TypeSorbent TypeParticle SizeCartridge Size
ZSDAU020Octyl + benzyl sulfonic acid200 mg10 mL
CSDAU133Octyl + benzyl sulfonic acid130 mg3 mL
XRDAH206H.F. C8 + benzyl sulfonic acid200 mg6 mL
XRPCH50zH.F. propylsulfonic acid500 mg10 mL
XCEL 1Proprietary 130 mg3 mL
OasisOasis MCX150 mg6 mL
SLE ISOLUTE®Diatomaceous Earth-1 mL
Table 3. Ions used for identification of each compound using each derivatization agent. Qualifier ions are marked in bold.
Table 3. Ions used for identification of each compound using each derivatization agent. Qualifier ions are marked in bold.
DRUG NAMEPFPA:EtOAcMSTFA:TolueneTFAA:EtOAcTMSI:Pyridine
25D-NBOME178, 121, 461166, 150, 121178, 165, 135150, 149, 121
25E-NBOMe192, 475, 121180, 150, 121192, 179, 121167, 149, 121
25H-NBOME164, 121, 447150, 121, 91164, 151, 121150, 121, 91
25I-NBOMe121, 573, 185150, 121, 91290, 277, 121150, 121, 91
25N-NBOMe209, 166, 121167, 150, 121209, 166, 121150, 121, 91
25P-NBOMe206, 193, 489194, 150, 121206, 198, 193194, 150, 121
3-MEO-PCE190, 233, 176233, 190, 176190, 191, 176190, 233, 72
5-APB131, 158,190132,131,77158, 140, 131Undetected
6-APB131, 158, 190132,131,77158, 140, 131Undetected
Benzedrone91, 119, 148135, 134, 91230, 148, 119Undetected
Butylone149, 218, 121149, 121,72168, 149, 121Undetected
Ethylone218, 190, 367149,121,72168, 149, 121Undetected
Flephedrone123, 204, 160Undetected154, 123, 110Undetected
MDPV126, 149, 110126, 149, 110126, 149, 110126, 149, 110
Mephedrone204, 160, 323119, 91, 58154, 119, 110Undetected
Mescaline-NBOMe194, 181, 477247, 73,149194, 181, 121182, 150, 121
MPA124, 204, 160Undetected154, 124, 110Undetected
MXE190, 219, 134219, 190, 176219, 218, 190219, 190, 176
Naphyrone126, 155, 127126, 155, 127126, 155, 127126, 149, 127
Table 4. Optimum incubation temperature (°C) and time (minutes) for each derivatization reagent with the average peak area of each new psychoactive substance analyzed. Bolded compounds show the overall optimum conditions for each compound.
Table 4. Optimum incubation temperature (°C) and time (minutes) for each derivatization reagent with the average peak area of each new psychoactive substance analyzed. Bolded compounds show the overall optimum conditions for each compound.
AnalytePFPA:EtOAc MSTFA:Toluene TFAA:EtOAcTMSI:PyridineStatistically Significant Factor
Incubation Temperature (°C)Incubation Time (min)Incubation Temperature (°C)Incubation Time (min)Incubation Temperature (°C)Incubation Time (min)Incubation Temperature (°C)Incubation Time (min)
25D-NBOME3720502050403720Agent (p = 0.000)
25E-NBOMe3720502050403720Agent (p = 0.000)
25H-NBOME2440502050403720Agent (p = 0.000)
25I-NBOMe3720502050403720Agent (p = 0.000)
Time (p = 0.002)
25N-NBOMe7020502050403720Agent (p = 0.000)
25P-NBOMe3740502050403720Agent (p = 0.000)
3-MEO-PCE2440244037403720Agent (p = 0.000)
5-APB244024402440Not DetectedAgent (p = 0.000)
6-APB244024402440Not DetectedAgent (p = 0.000)
Benzedrone702024403740Not DetectedAgent (p = 0.000)
Butylone244024403740Not DetectedAgent (p = 0.000)
Ethylone244024403740Not DetectedAgent (p = 0.000)
Flephedrone7020Not Detected3740Not DetectedAgent (p = 0.000)
MDPV244024403740Agent (p = 0.000)20Agent (p = 0.000)
Mephedrone702024403740Agent (p = 0.000)Agent (p = 0.000)
Mescaline-NBOMe374050205040Agent (p = 0.000)20Agent (p = 0.000)
MPA7020Not Detected3740Not DetectedAgent (p = 0.000)
MXE2440244037403720Agent (p = 0.000)
Naphyrone7020244037403720Agent (p = 0.000)
Table 5. The cartridge type that achieved the highest extraction efficiency (%) for each analyte in each matrix type.
Table 5. The cartridge type that achieved the highest extraction efficiency (%) for each analyte in each matrix type.
AnalyteBlood UrinePlasmaSerum
Cartridge Type% Extraction EfficiencyCartridge Type% Extraction EfficiencyCartridge Type% Extraction EfficiencyCartridge Type% Extraction Efficiency
25D-NBOMECSDAU102XRDAH 206109ZSDAU117ZSDAU111
25E-NBOMeCSDAU110CSDAU110ZSDAU111ZSDAU108
25H-NBOMECSDAU99CSDAU81CSDAU93CSDAU81
25I-NBOMeCSDAU90ZSDAU90CSDAU98ZSDAU118
25N-NBOMeZSDAU81ZSDAU98ZSDAU105ZSDAU118
25P-NBOMeXRDAH 20669ZSDAU76CSDAU70CSDAU95
3-MEO-PCECSDAU58XCEL 196XRDAH 20660ZSDAU50
5-APBCSDAU49XCEL 195CSDAU63CSDAU71
6-APBCSDAU65XCEL 194CSDAU98CSDAU51
BenzedroneCSDAU104OASIS®114CSDAU105XRDAH 20632
ButyloneXCEL 180OASIS®119XCEL 1101XCEL 187
EthyloneZSDAU115OASIS®87XCEL 179XCEL 179
FlephedroneCSDAU65CSDAU81CSDAU67CSDAU63
MDPVCSDAU106XCEL 1105XCEL 1109XCEL 1100
MephedroneCSDAU112CSDAU101CSDAU88CSDAU106
Mescaline-NBOMeCSDAU71CSDAU77CSDAU91ZSDAU63
MPACSDAU90XCEL 180CSDAU49CSDAU88
MXECSDAU57XCEL 170CSDAU100CSDAU60
NaphyroneCSDAU74CSDAU116CSDAU105CSDAU66
Average Extraction Efficiency-84-95-90-81
Table 6. Comparison of extraction efficiency (%) for each analyte in each matrix using solid-phase extraction (SPE) and supported liquid extraction (SLE), including any difference.
Table 6. Comparison of extraction efficiency (%) for each analyte in each matrix using solid-phase extraction (SPE) and supported liquid extraction (SLE), including any difference.
Blood % Extraction EfficiencyUrine % Extraction EfficiencyPlasma % Extraction EfficiencySerum % Extraction Efficiency
AnalyteSLESPE% Difference SLESPE% Difference SLESPE% Difference SLESPE% Difference
25D-NBOMe71102−3110863459759381208535
25E-NBOMe82110−2875110−352265−434356−13
25H-NBOMe7799−224981−324193−524081−41
25I-NBOMe8190−94883−353498−643378−45
25N-NBOMe10556496576−115267−1555541
25P-NBOMe7451236174−134370−273295−63
3-MEO-PCE88583010886227750271003664
5-APB7549265974−15646317071−1
6-APB6165−46993−245698−423451−17
Benzedrone32104−727188−1772105−33702248
Butylone6165−47283−1169654692940
Ethylone9070207379−66974−5703139
Flephedrone7965147381−87467769636
MDPV11710611757416475−116875−7
Mephedrone77112−3573101−287188−1771106−35
Mescaline-NBOMe787177277−56691−2567634
Methiopropamine4390−477355186349146388−25
Methoxetamine87573073532066100−3466606
Naphyrone7274−294116−22104105−1876621
Average7679−27381−86378−1565641
Statistical Difference (p) 0.7290.1130.0290.911
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Nisbet, L.A.; Wylie, F.M.; Scott, K.S. Applications of Sample Preparation Techniques in the Analysis of New Psychoactive Substances. Separations 2024, 11, 258. https://doi.org/10.3390/separations11090258

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Nisbet LA, Wylie FM, Scott KS. Applications of Sample Preparation Techniques in the Analysis of New Psychoactive Substances. Separations. 2024; 11(9):258. https://doi.org/10.3390/separations11090258

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Nisbet, Lorna A., Fiona M. Wylie, and Karen S. Scott. 2024. "Applications of Sample Preparation Techniques in the Analysis of New Psychoactive Substances" Separations 11, no. 9: 258. https://doi.org/10.3390/separations11090258

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Nisbet, L. A., Wylie, F. M., & Scott, K. S. (2024). Applications of Sample Preparation Techniques in the Analysis of New Psychoactive Substances. Separations, 11(9), 258. https://doi.org/10.3390/separations11090258

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