3.2. Optimization of the μ-MSPD Procedure
The influence of the main parameters potentially affecting the μ-MSPD procedure must be evaluated to obtain an efficient extraction. Several factors, such as the amount of sample, desiccant and dispersing agents were maintained constant, based on previous studies [
3,
12,
13,
14]. The amount of sample was 0.1 g, which was mixed with 0.4 g of Na
2SO
4 to remove the moisture of the samples, which could negatively affect the extraction. Regarding the dispersing agent, its amount was fixed at 0.4 g. The studied parameters were the extraction solvent (factor A), the dispersing agent (factor B), and the extraction volume (factor C), and the different levels are summarized in
Table 2. The choice of an appropriate solvent is essential in the development of extraction methods. For an efficient extraction, the solvent must solubilize the target compounds while leaving the sample matrix as intact as possible. Four solvents were investigated: ACN, ethyl acetate (EtAc), methanol (MeOH), and the mixture MeOH/acetone (1:1, v/v). The dispersing agent can be also a very important factor affecting the extraction. In addition, it can contribute to obtain cleaner extracts, preventing lipids and other co-extractable matrix materials from coming out to the extract. Based on our previous works [
6,
12,
14,
15], this factor was considered at two levels: Florisil and sand. The solvent volume was also studied at two levels: 1 mL and 2 mL. Larger solvent volumes were not evaluated since the purpose of this study was the development of a green miniaturized extraction protocol. Lower solvent volumes were also not considered since they are not suitable for practical purposes, making necessary the use of inserts to perform further chromatographic analysis.
The influence of the three variables was studied using a multifactor strategy. The study consisted of a multifactor 4*2
2 design, involving 16 randomized experiments and allowing three degrees of freedom to estimate the experimental error. The design has resolution V, which means that it is capable of evaluating all main effects and all two-factor interactions. Numerical analysis of data resulting from the experimental design was made employing the software package Statgraphics Centurion XVII (Manugistics, CA, USA). The experiments were performed using composite sample prepared as a mixture of four real samples including a sunscreen, a facial cream, a body lotion, and a lip protector. Since the composite sample contained six of the target compounds from the different families of the UV filters studied, it was decided to work with the sample as it, without compounds addition, to really evaluate the capability of the miniaturized procedure to break analyte-matrix interactions, providing efficient extractions. Besides, other compounds such as 11 fragrance allergens, seven preservatives, three plasticizers, and two synthetic musks, were detected in the composite sample. The analysis of variance, ANOVA, describes the impact of the studied factors on the obtained responses. Results for the UV filters are shown in the ANOVA table,
Table 3. For the sake of simplicity, only F-ratios and p-values are given. The F-ratio measures the contribution of each factor and interaction on the variance of the response. The p-value tests the statistical significance of each factor and interaction. When p-value is lower than 0.05, the factor has a statistically significant effects at the 95% confidence level.
As can be seen, the three studied factors were significant for all the UV filters present in the sample in most cases. The interaction solvent-dispersant (AB) was significant for all the compounds. The other two second order factors (solvent-volume, AC and dispersant-volume, BC) were not significant.
Figure 2 shows some selected mean plot graphs, that illustrate the effect of the main factors by showing the mean values as well as the confidence intervals for each level, easily visualizing the most favorable extraction conditions. For all the UV filters, the most efficient solvent was ACN providing higher responses (see
Figure 2a). Regarding the dispersing agent, Florisil gave also higher responses for all the analytes (see
Figure 2b). As regards the interaction AB, some examples are included in
Figure 2c. The two-factor plots display the least squared means at all combinations of two factors, which allows studying the effect of both factors simultaneously. In this case, two different behaviors can be observed. For 2-ethylhexyl 4-methoxycinnamate (2EHMC), 4-methylbenzylidene camphor (4MBC), octocrylene (OCR) and isoamyl-4-methoxycinnamate (IAMC), the use of Florisil provided the highest response regardless of the solvent used (see as example OCR graph in
Figure 2c). In the case of ethylhexylsalicylate (EHS) and benzophenone-3 (BP3), the use of sand was more favorable when MeOH or the mixture MeOH/acetone (1:1, v/v) was employed but, in any case, higher responses were obtained using ACN or EtAc with Florisil (see as example BP3 graph in
Figure 2c). Regarding solvent volume, 2 mL was initially more favorable, although the differences in the responses were not very high (see
Figure 2d).
Since Florisil was the most favorable dispersing agent for all analytes, the results were analyzed considering only the experiments carried out with this sorbent. The ANOVA results were similar for all the analytes and are graphically displayed for IAMC and EHS as example in
Figure 3a. The plot shows scaled effects for each factor, so the natural variance of the points in the diagram can be comped to that of the residuals, displayed at the bottom of the plot. By comparing the variability amongst the factors to that of the residuals, it is easy to identify those factors showing differences of a greater magnitude than could be solely accounted by the experimental error. As can be observed, the solvent nature was significant, but the amount of solvent was not a significant factor. The levels of the factors at the right part of the ANOVA plot indicate the conditions that offer higher response and therefore, more efficient extraction. In the mean plot in
Figure 3b the influence of the solvent is clearly appreciate. ACN and EtAc provided similar results, whereas for the other solvents the responses were clearly lower.
Therefore, in view of the results, the selected conditions for the analysis of UV filters comprise the use of Florisil as dispersing agent, and ACN or EtAc as eluting solvent. Under these conditions the amount of solvent was not significant and, therefore, the low solvent volume, 1 mL, was selected. Regarding the other cosmetic ingredients and additives present in the composite sample, including fragrance allergens, preservatives, plasticizers and synthetic musks, the statistical analysis showed as more favourable conditions the once previously selected for the UV filters. Therefore, a general multianalyte method for the determination of all these families of personal care products (PCPs) can be proposed.
3.3. Method Performance
The μ-MSPD-GC–MS/MS method was validated in terms of linearity, accuracy and precision. Method performance is summarized in
Table 4 for UV filters, and
Table 5 for the other compounds.
The calibration study was performed employing standard solutions prepared in acetonitrile containing the 78 compounds at different levels, covering a concentration range from 0.001 to 10 mg L
−1 (see specific ranges for each compound in
Table 4 and
Table 5) with twelve levels and three replicates per level. The method exhibited a direct proportional relationship between the concentration of each analyte and the chromatographic response with determination coefficients R
2 ≥ 0.9915 for all compounds. Calibration plots for some representative compounds are shown in
Figure S1.
Intra-day, and inter-day precision was also evaluated. The relative standard deviation (RSD) values for the inter-day are shown in
Table 4 and
Table 5, and they were lower than 10% for all the analyzed UV filters, and lower than 14% for the other compounds.
Recovery studies were carried out by implementing the optimized μ-MSPD-GC–MS/MS method to a real cosmetic sample (a moisturizing hand cream). Sample was fortified at three different concentration levels (1, 10 and 100 μg g
−1) for the UV filters and the μ-MSPD-GC–MS/MS procedure was performed. Recoveries were calculated as the ratio of concentration found/added considering the responses obtained for each analyte, and they are shown in
Table 4 Quantitative recoveries were obtained in all cases, with mean values between 97% and 111%. The precision was also evaluated, and the obtained relative standard deviation (RSD) values were lower than 10% for all the analytes.
Recovery studies were also performed for the fragrance allergens, preservatives, plasticizers and synthetic musks, at two different concentration levels (10 and 100 μg g
−1). Results are summarized in
Table 5. As can be seen, good recoveries with mean values between 70% and 110% were obtained for all the studied compounds. The RSD values were also lower than 10% in all cases.
3.4. Application to Real Samples
To show the suitability of the proposed methodology, 13 different cosmetic and personal care products were analyzed, including moisturizing face creams, sunscreens with different solar protection factor (SPF), including products intended from children, blemish base (BB) creams, hair-care products, protection lipsticks, hands cream, make-up, or vitalizing creams. Concentration (μg g
−1) of the target UV filters, and the other analyzed PCPs are summarized in
Table 6.
Eleven out of the 14 studied UV filters were detected in the analyzed samples. The UV filter most frequently found was 2-EHMC, in 11 of the 13 samples, with concentration levels up to 46,364 μg g
−1 (4.6%, w/w) followed by EHS in eight samples. The concentration for this UV filter was higher than 20,000 μg g
−1 (2%, w/w) in four samples (S2, S4, S5, and S7). OCR and avobenzone (BMDM) were found in seven samples, at concentrations up to 50,000 μg g
−1, excluding BMDM in samples S2, and S4. The other UV filters homosalate (HMS), BP3, benzyl salicylate (BS), and IAMC, were found in six, five, four and three samples, respectively, with concentration ranging from 0.5 to 52,000 μg g
−1, whereas 4MBC, DHHB and DRT were only found in one sample each one. Regarding the number of compounds per sample, sample S3 (BB cream) contained eight out of the 11 detected UV filters, followed by sample S2, sample S6 and sample S8, which contained 6 compounds. Highlights especially the high UV filters concentration (between 25,000–99,000 μg g
−1) found in Sample S2. This sample was a SPF 50 sunscreen. In the other samples, between 1–5 UV filters were detected. Although for some compounds, while very high concentrations were found, all of them comply with the European requirements according to the Regulation EC No 1223/2009 [
1].
Regarding the other studied PCPs, 14 of the 25 target fragrance allergens were found. Highlights the presence of limonene and benzyl alcohol in 12 of the 13 analyzed samples, with concentrations ranging between 0.2 to 213 μg g−1. The other fragrance allergens were found in between 1–4 samples. It is important to note the presence of Lyral®, fragrance which has been recently banned, in one cream at 87 μg g−1. Sample S3, a BB cream, contained the highest number of fragrances, nine of them at also the highest concentration for them, 270 μg g−1 for α-isomethylionone. The other analyzed samples contained between one (sample S2) and six (samples S4 and S9) fragrances.
Seven of the 13 target preservatives were found in the analyzed samples. The most frequently found were phenoxyethanol (PhEtOH) and butylhydroxytoluene (BHT) in 92% of the analyzed samples. The highest PhEtOH concentration reached up to 8461 μg g−1, close to its legal limit (10,000 μg g−1), in sample S2, whereas for BHT its concentration was lower than 80 μg g−1 in all cases. Methyl paraben (MeP) was found in nine samples, reaching 3100 μg g−1, also close to its maximum permitted concentration (4000 μg g−1), in sample S1, whereas the other parabens (EtP, PrP, BuP, and iBuP) were found in six, five, and three samples respectively. The samples containing more preservatives were sample S6 and sample S7, containing both seven preservatives, whereas on the other hand, samples S4 and S10 only contained BHT and PhEtOH, respectively.
Regarding the synthetic musks, only celestolide, cashmeran and ambrettolide were detected in the analyzed samples. Galaxolide was found in three samples at concentrations up to 534 μg g−1, whereas the other two were only detected in one sample each one.
Only four plasticizers out of the 15 studied were detected in the analyzed samples. The diethylhexyl adipate (DEHA) was found in nine samples, with concentrations up to 2630 μg g−1. Regarding the other detected phthalates, DEP was found in five samples, whereas two of the phthalates forbidden for their use as ingredients in cosmetics according to the Regulation EC No 1223/2009, dibutyl phthalate (DBP) and diethylhexyl phthalate (DEHP) were found in three and nine samples, respectively. The detected concentrations were lower than 9 μg g−1 in all samples, and the presence of these compounds may be related with a possible transfer between the plastic package and the cosmetic.