Mark V.
Sullivan
*ab,
Connor
Fletcher
b,
Rachel
Armitage
b,
Chester
Blackburn
ab and
Nicholas W.
Turner
*ab
aDepartment of Chemistry, Dainton Building, University of Sheffield, Brook Hill, Sheffield S3 7HF, UK. E-mail: mark.sullivan@sheffield.ac.uk; n.w.turner@sheffield.ac.uk
bLeicester School of Pharmacy, De Montfort University, The Gateway, Leicester, LE1 9BH, UK
First published on 28th August 2023
It is becoming increasingly more significant to detect and separate hormones from water sources, with the development of synthetic recognition materials becoming an emerging field. The delicate nature of biological recognition materials such as the antibodies means the generation of robust viable synthetic alternatives has become a necessity. Molecularly imprinted nanoparticles (NanoMIPs) are an exciting class that has shown promise due the generation of high-affinity and specific materials. While nanoMIPs offer high affinity, robustness and reusability, their production can be tricky and laborious. Here we have developed a simple and rapid microwaveable suspension polymerisation technique to produce nanoMIPs for two related classes of drug targets, Selective Androgen Receptor Modulators (SARMs) and steroids. These nanoMIPs were produced using one-pot microwave synthesis with methacrylic acid (MAA) as the functional monomer and ethylene glycol dimethacrylate (EGDMA) as a suitable cross-linker, producing particles of an approximate range of 120–140 nm. With the SARMs-based nanoMIPs being able to rebind 94.08 and 94.46% of their target molecules (andarine, and RAD-140, respectively), while the steroidal-based nanoMIPs were able to rebind 96.62 and 96.80% of their target molecules (estradiol and testosterone, respectively). The affinity of nanoMIPs were investigated using Scatchard analysis, with Ka values of 6.60 × 106, 1.51 × 107, 1.04 × 107 and 1.51 × 107 M−1, for the binding of andarine, RAD-140, estradiol and testosterone, respectively. While the non-imprinted control polymer (NIP) shows a decrease in affinity with Ka values of 3.40 × 104, 1.01 × 104, 1.83 × 104, and 4.00 × 104 M−1, respectively. The nanoMIPs also demonstrated good selectivity and specificity of binding the targets from a complex matrix of river water, showing these functional materials offer multiple uses for trace compound analysis and/or sample clean-up.
Androgenic anabolic steroids (AASs) became widely used as PIEDs, since the first isolation of testosterone and subsequent synthesis of hundreds of synthetic androgens in the 1930's, by elite athletes to vastly improve muscle mass and athletic performance. The performance benefits and associated health risks led them to be placed on the banned substances list by the International Olympic Committee (IOC) in 1976.8 Use spread from elite athletes to the general population, and nowadays 4/5's of users do so for image purposes.9 It is expected that these users will account for the majority of the future public health problems associated with steroid abuse.1
Selective androgen receptor modulators (SARMs) are another class of PIEDs that are currently being misused as performance and image enhancing drugs by athletes and the general public. These unique class of androgen receptor ligands display tissue-selective activation, but exhibit more selectivity in their action.10,11 Comparable increases in muscle mass and protein synthesis to AASs are observed but with lesser side-effects.12 SARMs are becoming more widely used in both the amateur and competitive elite circuits.13 They are recently included in the prohibited substance list by WADA (the World Anti-Doping Agency).14
As such monitoring is required, not just within athletes' samples but in the wider environment as the long-term effects of these compounds in not understood. The stable nature of these compounds means they are often found in waste and environmental water samples making water-based epidemiology (WBE) a suitable method for estimating consumption of illicit drug use within the general population, and therefore can be used for monitoring PIED use.15
Given the complex nature of these matrices targeted extraction is ideally required to simplify any measurements. General preparative methods exist (i.e. solid phase-extraction) to prepare samples for complex chromatographic processes,16–18 though these offer limited capabilities for certain family of compounds. Compound-specific tests such as an antibody-based test (e.g. ELISA) are suitable for specific detection, but also have limitations,19–21 often around cost, stability and batch variations. They also have effectively zero reusability, and test performance is greatly affected by changes in pH, temperature and ionic strength, leading to environmental degradation and denaturation becoming a significant problem.22,23 Replacement synthetic recognition materials are therefore an attractive option.
Molecularly imprinted polymers (MIPs) have shown great promise as an alternative to match the performance (selectivity/specificity/affinity) of their biological counterparts while offering performance and robustness in a wide range of conditions. Usually produced using a self-assembly approach, they are simple and cost effective to develop and produce, while offering good integration into modern analytical methods.24 The advent of MIP nanoparticles (NanoMIPs) has significantly improved the field by reducing the surface area of the particles and therefore reducing the heterogeneity of potential binding sites.25–28 This has allowed for nanoMIPs to be potentially used within biological systems as well as sensor applications. The high surface to volume ratio of these nanoMIPs has allowed for more regular structures to be created which when compared to a traditional bulk MIP provides superior all-round performance, while generating vastly improved yields of effective polymer.19,20,29,30
Using a solid-phase synthesis approach is a popular method for producing nanoMIPs and allows for these materials to observe one binding site per nanoparticle, which results the nanoMIPs to offer excellent binding capacities and performances, which are comparable to that of monoclonal antibodies.31 The solid-phase approach usually requires a multi-step synthesis, by initially functionalising a solid support, followed by the immobilisation of the target, before the nanoMIP can be produced.25,32,33 Even though this method offers high affinity nanoMIPs, it can be time consuming with lower yields than other methods. A suspension polymerisation method is a simple technique whereby polymerisation occurs within a dilute solution, with the MIP nanoparticles precipitating once they have been formed.34 This is simple and quick method forms homogenous nanoMIPs and can be tailored to task through changes in solvent, and polymer composition. Furthermore, with a surge of interest in microwave radiation as a thermodynamic driving force, there is the potential for developing environmentally conscious, simple and time efficient methods for synthesis of nanoMIPs.35,36
In this study we investigate the development of MIP nanoparticles (nanoMIPs) using a microwave polymerisation approach for andarine and RAD-140 (Fig. 1A and B) as well as the steroidal targets estradiol and testosterone (Fig. 1C and D), with the two compound families being studied to demonstrate the versatility of this method for imprinting. Whereby, for the first time a new rapid, green, and efficient microwave synthesis is used to produce nanoMIPs. This new technique offers a unique one-pot suspension synthesis, to produce high affinity nanoMIPs recognition materials for SARMs and steroidal targets. This suspension polymerisation technique was chosen in order to prevent unnecessary labour and time loss, while these compounds were chosen as they have been known to be present in river and wastewater.16,37,38 Steroids have long been used for imprinting with multiple methods demonstrated including bulk, emulsion, suspension and solid-phase.39–41 As such they are an ideal candidate to explore our method. The two selected compounds are bioactive and are found in several pharmaceutical products. With currently only a single MIP study,29 SARMs are a novel target for imprinting but as discussed above one that will need addressing in the near future.
Fig. 1 Structure of compounds involved in the study: (A) andarine; (B) RAD-140; (C) estradiol and (D) testosterone. |
(1) |
Method sensitivity (LOD and LOQ) were calculated by using σ (standard deviation of response) and b (slope of the calibration curve) and the equations LOD = (3.3 × σ)/b and LOQ = (10 × σ)/b.43
The FTIR spectra for the nanoMIPs are shown in Fig. 2A (andarine), 2B (RAD-140) 2C (estradiol) and 2D (testosterone). The FTIR spectrum for the corresponding NIP is shown in Fig. 2E. The O–H stretching at 2941, 2940, 2939, 2941 and 2952 cm−1 and the O–H bending vibration 1383, 1383, 1383, 1384 and 1393 cm−1 (for Fig. 2A–E, respectively) confirm the presence of carboxylic acid groups (from the methacrylic acid) within the nanoMIP. The occurrence of peaks 1718, 1719, 1716, 1718, and 1718 cm−1 (CO stretch) and 1135, 1140, 1134, 1137 and 1135 cm−1 (C–O stretching), for Fig. 2A–E, respectively, show the presence of EGDMA (acting as a crosslinker. The peaks 1445, 1447, 1445, 14447 and 1444 cm−1, (Fig. 2A–E, respectively) show C–H bending vibration of methyl group, mostly likely occurring due the presence of methyl groups in both the methacrylic acid and EGDMA crosslinker. Also shown are the C–O–C asymmetric groups at 1445, 1447, 1445, 14447 and 1444 cm−1 (Fig. 2A–E, respectively), it would be expected to see the C–O–C symmetric groups peaks at approximately 1000 cm−1, whereby this is shown as a shoulder (of the strong peak at approximately 1135 cm−1), instead of an individual peak. The absence of a CC double bond stretching (at approximately 1640–1610 cm−1), in the spectra confirms the polymerisation of the functional monomer (MAA) and crosslinker (EGDMA). Furthermore, it should be noted that the template/target molecule stretching bands (shown in Fig. S1†), particularly the strong/distinctive bands that would be expected to be shown, are absent from the spectra. This is possible due to the template/target bands being hidden by the polymer bands, especially with the low ratio of template/target compared with the polymer.24,45
Fig. 2 FTIR spectra of the nanoMIPs (and corresponding NIP) for the targets: andarine (A), RAD-140 (B), estradiol (C), testosterone (D) and NIP (E). |
The SEM images shows the SARMs and Steroid targeted nanoparticles to be 132.7 (±19.3) nm, 143.3 (±15.4), 120.2 (±18.0) and 135.5 (±13.9) nm for the andarine, RAD-140, estradiol and testosterone nanoMIPs, with the corresponding NIP shows these nanoparticles to 131.5 (±9.1) nm (Fig. 3A–E, respectively). Furthermore, the particles appear to be spherical and dispersive, while forming in clusters. These sizes and patterning are consistent with other protocols for the synthesis of nanoMIPs, particularly the solid-phase method that is commonly used and other suspension polymerisation methods (non-microwaveable and for other target molecules).27,34,46
Fig. 3 SEM images of the nanoMIPs (and corresponding NIP) for the targets: andarine (A), RAD-140 (B), estradiol (C), testosterone (D) and NIP (E). |
After the subsequent removal of the template from the aggregated (coagulated) nanoparticles via Soxhlet extraction, using methanol/acetic acid (9:1 v/v), the particles were ready for rebinding studies.
(2) |
Fig. 4 Percentage of SARMs/steroidal targets rebinding to their corresponding nanoMIP or their corresponding NIPs (1 mL of 20 μg mL−1 solution with 20 mg of polymer. N = 3). |
NanoMIP | Percentage target bound (%) | IF | |
---|---|---|---|
MIP | NIP | ||
Andarine | 94.08 (±0.05) | 77.52 (±0.24) | 1.22 |
RAD-140 | 94.46 (±0.15) | 80.37 (±0.11) | 1.18 |
Estradiol | 96.62 (±0.03) | 78.51 (±0.01) | 1.23 |
Testosterone | 96.80 (±0.03) | 81.09 (±0.14) | 1.19 |
As shown in Fig. 4 and Table 1, the nanoMIPs offered good affinity for their targets, with a high percentage (all between 94–97%) of the target rebinding to the nanoMIP. The control (NIP) nanoparticles were loaded with the target SARMs molecules to determine if the rebinding is due to a formed MIP cavity and not the polymer. While the NIP shows a relatively high percentage (all between 77–82%) of target molecules binding to the NIP nanoparticles, there is a significant (p value of 6 × 10−6, t-test) decrease in the binding percentage suggesting that this target binding is due to the imprinting effect. The calculated IF values shown in Table 1 and are at the approximate threshold (of 1.2) for an imprinting effect to be considered. While the imprinting factors in Table 1 may seem low we should also factor in the particle density differences. As the control polymers (NIPs) are absent of cavities, there is the potential for these particles are denser than the corresponding MIPs, resulting in more functional monomers contained within the same volume. Given these are effectively spherical materials, an equal mass of NIP could have a greater functionality over the particle surface compared with the MIP, where the main functionality is contained within the recognition cavity.47 While the non-specific electrostatic interactions should be the same as it is the same material, we can hypothesise that the actual imprinting effect is larger than this data suggests.
As studies have shown NIPs to have different behaviour to MIPs, caused by a difference in morphology, with the presence of the template during polymerisation affecting the rate of reaction and polymer porosity. The use of a selectivity factor (SF) has now become the more preferential method for assessing the binding ability of the MIP this is calculated using eqn (3), where the binding of the target analyte is compared to a non-target analyte.47–49 The selectivity of the nanoMIPs was explored by studying their binding with non-target SARMs and steroid molecules, chosen due to similarity is size, structure and use.
(3) |
The binding of the non-target molecules to the nanoMIPs (Fig. 5 and Table 2), produced a slight improvement in the results compared to that of the target molecule binding the NIP control polymer, with binding of the non-target molecules, with a range of 72–78% binding (compared with 77–82% for the binding of target molecules to the NIPs) of the non-target molecules, with a p value of 0.01 (Anova test). Using the selectivity factor (SF) values, presented in Table 3, as a more suitable measure of assessing MIP performance, shows improvements, with all SF values above the 1.2 threshold that deems MIPs to be considered acceptable.
Fig. 5 Percentage of SARMs/steroidal targets and non-targets rebinding to 20 mg of respective nanoMIP at 20 μg mL−1. N = 3. |
MIP | Percentage non-target bound (%) | |||
---|---|---|---|---|
Andarine | RAD-140 | Estradiol | Testosterone | |
Andarine | 76.58 (±0.08) | 72.80 (±0.06) | 73.29 (±0.01) | |
RAD-140 | 79.09 (±0.01) | 75.68 (±0.03) | 74.95 (±0.01) | |
Estradiol | 76.62 (±0.02) | 73.21 (±0.01) | 75.20 (±0.03) | |
Testosterone | 75.46 (±0.01) | 73.27 (±0.01) | 77.41 (±0.07) |
MIP | SF Values | |||
---|---|---|---|---|
Andarine | RAD-140 | Estradiol | Testosterone | |
Andarine | 1.24 | 1.31 | 1.29 | |
RAD-140 | 1.24 | 1.25 | 1.27 | |
Estradiol | 1.26 | 1.32 | 1.28 | |
Testosterone | 1.28 | 1.32 | 1.25 |
The binding behaviour of the nanoMIPs (and their corresponding NIPs) was investigated using batch rebinding, with association constants (Ka values) of the polymers estimated with the Scatchard equation (eqn (1)). The Scatchard plots for the MIPs and their corresponding NIPs are presented in Fig. S3 and S4† (nanoMIP and NIP, respectively) and display linear transformations, with the slope of line representing the association constant (Ka). These Ka values are presented in Table 4.
K a values (M−1) | ||
---|---|---|
Target | MIP | NIP |
Andarine | 6.60 × 106 | 3.40 × 104 |
RAD-140 | 1.51 × 107 | 1.01 × 104 |
Estradiol | 1.04 × 107 | 1.83 × 104 |
Testosterone | 1.51 × 107 | 4.00 × 104 |
As shown in Table 4, the control polymers (NIPs) have Ka values of 3.40 × 104 M−1 (andarine), 1.01 × 104 M−1 (RAD-140), 1.83 × 104 M−1 (estradiol), and 4.00 × 104 M−1 (testosterone), which shows that NIP has minimal affinity towards the target molecules. The formation of specific cavities within the polymer matrix greatly increases the affinity of the polymer, with the nanoMIPs increasing in affinity for their respective targets with approximate increases of 190-fold for andarine (Ka values from 3.40 × 104 M−1 to 6.60 × 106 M−1), 1500-fold for RAD-140 (Ka values from 1.01 × 104 M−1 to 1.51 × 107 M−1), 570-fold for estradiol (Ka values from 1.01 × 104 M−1 to 1.51 × 107 M−1), and 380-fold for testosterone (Ka values from 1.01 × 104 M−1 to 1.51 × 107 M−1). The increases in affinity, from NIP to MIP, are to be expected and shows that the cavities created during the self-assembly polymerisation process, have specific recognition for the target and locks the molecule into place.
NanoMIP | Percentage target bound (%) |
---|---|
Andarine | 95.12 (±0.14) |
RAD-140 | 92.27 (±0.31) |
Estradiol | 93.09 (±0.28) |
Testosterone | 94.45 (±0.46) |
Table 5 shows the nanoMIPs demonstrated the high ability to rebind and collect their imprinted targets from river water samples. This was consistent with the amount of target rebound within the initial model studies and shows that the complex media of the river water samples does not have any interfering effect on the recognition, allowing the nanoMIPs to bind analytes within complex media.
The theoretical LOD and LOQ validation for this methodology calculated according to Choudhari et al.43 with the LOD found to be 1.42 μg mL−1, 3.56 μg mL−1, 3.36 μg mL−1, and 2.74 μg mL−1, for the rebinding of andarine, Rad-140, estradiol, and testosterone, from water, respectively. While the LOD were found to be 1.41 μg mL−1, 3.60 μg mL−1, 2.99 μg mL−1, and 3.43 μg mL−1, for the rebinding of andarine, Rad-140, estradiol, and testosterone, from river water, respectively. The LOQ found to be 4.30 μg mL−1, 9.77 μg mL−1, 9.19 μg mL−1, and 8.31 μg mL−1, for the rebinding of andarine, Rad-140, estradiol, and testosterone, from water, respectively. While the LOQ were found to be 4.28 μg mL−1, 9.93 μg mL−1, 9.08 μg mL−1, and 9.42 μg mL−1, for the rebinding of andarine, Rad-140, estradiol, and testosterone, from river water, respectively.
The nanoMIPS produced were shown to exhibit good capacity and selectivity for their target molecules when tested against a control non-imprinted polymer (NIP). The imprinting factors for all polymers were over the recommend 1.2 threshold ratio, thus showing a good MIP effect. The improved selectivity factor was also investigated by binding non-targets to the nanoMIPs, with SF values for the nanoMIPs all being over the recommended 1.2 threshold, thus showing that the nanoMIPS offer specificity. Additionally, the nanoMIPs showed good recognition with association constants (Ka values) in micromolar range (1.04 × 107–6.60 × 106 M), an approximate 100-fold improvement over the NIP nanoparticle. The nanoMIPs were also able to rebind compounds to the same level from the complex media of river water highlighting potential applications in analytical methodologies as clean-up and capture materials.
This is a simple proof-of-concept study, which demonstrates the ease of production. There are multiple areas whereby this work could be further developed to improve the performance of the polymers and is currently being explored within our follow-on work. We are exploring the use of in silico methodology, to optimise polymer composition towards improving MIP selectivity and affinity; and investigating the polymerisation reaction conditions to further study and control the size distribution of the nanoparticles.
Furthermore, the use of different matrices, targets, and analytical instrumentation, to improve sensitivity is also underway. We envisage that these functional nanomaterials, that offer chemical selectivity could play an interested part in the future of analytical methodology, especially within solid phase extraction. Similarly, due to the small size (in the nanometre scale) of these materials opens to the suggestion that they could be used for therapeutics and labelling.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3na00422h |
This journal is © The Royal Society of Chemistry 2023 |