Literature DB >> 32390187

Validation of a new in vitro Sun Protection Factor method to include a wide range of sunscreen product emulsion types.

M Pissavini1, C Tricaud2, G Wiener3, A Lauer4, M Contier5, L Kolbe6, C Trullás Cabanas7, F Boyer8, E Meredith9, J de Lapuente10, E Dietrich11, P J Matts12.   

Abstract

In 2017, Cosmetics Europe performed a double-blinded ring test of 24 emulsion-type sunscreen products, across 3 in vivo test laboratories and 3 in vitro test laboratories, using a new candidate in vitro SPF test method. Based on the results of this work, an article was published showing how data derived from a new lead candidate method conform to new International Standards (ISO) acceptance criteria for alternative SPF test methods (Any alternative method should consider the matrix effect and if required, specify the matrix applicability of the method; Criterion 1a: Systematic differences between methods should be negligible: 95% of all individual results of an alternative method are within the range of ±2× reproducibility standard deviation of the in vivo method, that is overall bias must be below 0.5× reproducibility standard deviation of the in vivo method; Criterion 1b: Measurement uncertainty of an alternative method should be below the measurement uncertainty of the in vivo method. Candidate method predicted values must fall within the full 'funnel' (SPF 6-50+) limits proposed by Cosmetics Europe (derived from the same minimum test design, that is using the ISO24444 Method to measure at least 24 products across at least 3 laboratories using at least 5 test subjects/laboratory, in a blinded fashion).). Of the 24 sunscreen products tested, the majority of emulsions were of the oil-in-water (O/W) type, whereas only one was water-in-oil (W/O) and there were no products with a mineral-only sun filter system. In order to confirm the scope of this method, therefore, a new study was conducted that included 73 W/O (12 mineral + organic, 44 mineral only and 17 organic only) and 3 O/W mineral-only, emulsion-type sunscreen products (a total of 76 new sunscreen products). When combined with the previous 24 products (tested in 3 different laboratories), this yielded a new data set comprising a total of 100 emulsion-type sunscreen products, with SPF values ranging from 6 to 50+ (with a total of 148 data points). These products were tested using the double-plate in vitro SPF test method and compared with the ISO TC217/WG7 acceptance criteria for alternative SPF test methods. Over 95% of paired in vitro: in vivo SPF values lay within the upper and lower limits of the ISO acceptance criteria funnel, with no bias. This new in vitro SPF test method, therefore, meets the minimum requirements for an alternative SPF test method to ISO24444:2010, for emulsion-type sunscreen products (which make up the majority of marketed sunscreen products).
© 2020 The Authors. International Journal of Cosmetic Science published by John Wiley & Sons Ltd on behalf of Society of Cosmetic Scientists and Societe Francaise de Cosmetologie.

Entities:  

Keywords:  zzm321990in vitrozzm321990; ISO; Sun Protection Factor; ring test

Year:  2020        PMID: 32390187      PMCID: PMC8246923          DOI: 10.1111/ics.12625

Source DB:  PubMed          Journal:  Int J Cosmet Sci        ISSN: 0142-5463            Impact factor:   2.970


Introduction

In 2017, Cosmetics Europe performed a double‐blinded ring test of 24 emulsion‐type sunscreen products, across 3 in vivo test laboratories and 3 in vitro test laboratories, consistent with the Joint Research Center (the European Commission’s in‐house science service [1]) guidelines, ‘Selecting and/or validating analytical methods for cosmetics’, using a new candidate in vitro SPF test method. Based on the results of this work, an article was published showing how data derived from a new lead candidate method conform to the new ISO acceptance criteria (Table 1).
Table 1

The 100 emulsion‐type sunscreen products used (SPF6 ‐ 50+)

Tested productsEmulsion typeFiltersMean in vivo resultIndividual in vitro result
15.8
CE validation ring test P1O/WOrganic13.09.0
11.6
13.8
CE validation ring test P2O/WOrganic14.68.1
10.0
13.4
CE validation ring test P3O/WOrganic9.49.0
9.7
25.1
CE validation ring test P4O/WOrganic20.818.7
14.3
16.2
CE validation ring test P5O/WOrganic12.37.8
10.1
23.5
CE validation ring test P6O/WOrganic25.716.3
27.4
29.8
CE validation ring test P7O/WMineral + organic19.719.9
19.8
19.3
CE validation ring test P8O/WOrganic15.113.6
16.9
29.5
CE validation ring test P9O/WOrganic24.118.7
23.3
14.3
CE validation ring test P10O/WMineral + organic15.011.1
13.0
37.2
CE validation ring test P11O/WMineral + organic53.029.1
36.0
53.1
CE validation ring test P12W/OOrganic54.441.8
65.3
22.6
CE validation ring test P13O/WMineral + organic44.549.1
44.2
44.9
CE validation ring test P14O/WMineral + organic47.242.6
64.2
CE validation ring test P15O/WMineral + organic57.162.3
35.2
53.4
60.7
CE validation ring test P16O/WMineral + organic46.049.6
61.3
54.4
CE validation ring test P17O/WOrganic53.052.8
71.0
35.1
CE validation ring test P18O/WMineral + organic45.533.5
41.6
30.2
CE validation ring test P19O/WMineral + organic41.228.6
56.3
13.5
CE validation ring test P20O/WOrganic24.29.9
12.4
48.4
CE validation ring test P21O/WOrganic34.839.1
41.3
65.7
CE validation ring test P22O/WMineral + organic57.958.1
58.6
9.7
CE validation ring test P23O/WOrganic13.29.3
14.3
9.9
CE validation ring test P24O/WOrganic11.68.7
9.6
P25W/OOrganic17.79.6
P26W/OMineral + organic55.439.0
P27W/OOrganic21.520.4
P28W/OMineral only12.58.9
P29W/OMineral only91.165.1
P30W/OMineral only33.140.4
P31W/OMineral only35.233.2
P32W/OMineral + organic54.730.5
P33W/OMineral + organic55.454.8
P34W/OMineral + organic41.734.8
P35W/OMineral + organic28.421.1
P36W/OMineral + organic28.818.7
P37W/OMineral + organic32.720.3
P38W/OMineral + organic57.357.1
P39W/OMineral only78.358.7
P40W/OMineral + organic17.914.8
P41W/OMineral + organic17.018.9
P42W/OMineral only9.013.3
P43W/OMineral only9.213.6
P44W/OMineral only9.89.2
P45W/OMineral only11.119.2
P46W/OMineral only12.121.1
P47W/OMineral only15.021.7
P48W/OMineral only15.37.7
P49W/OMineral only15.418.8
P50W/OMineral only18.220.4
P51W/OMineral only23.222.8
P52W/OMineral only23.535.2
P53W/OMineral only24.027.7
P54W/OMineral only25.729.3
P55O/WMineral only26.437.1
P56W/OMineral only26.424.8
P57O/WMineral only26.932.0
P58W/OMineral only29.231.6
P59W/OMineral only32.032.6
P60W/OMineral only32.925.2
P61W/OMineral only36.347.1
P62W/OMineral only36.627.4
P63W/OMineral only36.937.4
P64W/OMineral only37.640.8
P65W/OMineral only37.847.7
P66O/WMineral only38.848.6
P67W/OMineral only38.923.3
P68W/OMineral only41.272.5
P69W/OMineral only47.449.1
P70W/OMineral only47.843.4
P71W/OMineral only48.356.3
P72W/OMineral only50.063.6
P73W/OMineral only52.632.0
P74W/OMineral only54.351.3
P75W/OMineral only54.558.5
P76W/OMineral only57.358.3
P77W/OMineral only58.566.0
P78W/OMineral only59.148.6
P79W/OMineral only64.671.6
P80W/OMineral only69.362.4
P81W/OMineral only38.154.2
P82W/OOrganic75.380.3
P83W/OMineral + organic59.138.2
P84W/OMineral only40.228.3
P85W/OOrganic61.460.1
P86W/OMineral only39.433.6
P87W/OOrganic67.545.3
P88W/OOrganic51.466.3
P89W/OOrganic73.670.6
P90W/OOrganic65.058.7
P91W/OOrganic73.690.0
P92W/OOrganic67.565.0
P93W/OOrganic46.833.0
P94W/OOrganic70.370.6
P95W/OOrganic56.866.8
P96W/OOrganic74.1103.4
P97W/OOrganic60.570.6
P98W/OOrganic80.766.8
P99W/OOrganic65.375.5
P100W/OMineral + organic36.751.3
Of the 24 sunscreen products tested, the majority of emulsions were of the oil‐in‐water type (O/W), whereas only one was water‐in‐oil (W/O) and there were no products with a mineral‐only sun filter system (comprising varying ratios of micronized zinc and titanium dioxide). In order to confirm the scope of this method, therefore, a new study was conducted that included 73 W/O (12 mineral + organic, 44 mineral only and 17 organic only) and 3 O/W mineral‐only, emulsion‐type sunscreen products (a total of 76 new sunscreen products), which were tested according to the protocol published previously [2].

Materials and methods

Sunscreen products

In addition to the 24 commercial primary, emulsion‐type, sunscreen products already used for the initial validation, 73 W/O (12 mineral + organic, 44 mineral only and 17 organic only) and 3 O/W mineral‐only emulsion sunscreens were chosen to represent the entire range of SPF categories defined by European Commission Recommendation 2006/647/EC [3] (namely 6, 10, 15, 20, 25, 30, 50 and 50+; see Table 1 for details). The 100 emulsion‐type sunscreen products used (SPF6 ‐ 50+) It should be noted that in vivo data from the 76 new sunscreen products were not used to adjust the ISO acceptance criteria ‘funnel’.

In vivo SPF test method

The 76 new sunscreen samples were tested on a minimum of 5 subjects using the current ISO24444:2010 In Vivo SPF test protocol [4], using a variety of test laboratories (according to the parent Company’s choice; the laboratories were previously audited by the Company supplying the test products).

In vitro SPF test method

The method used in this study was exactly the same as described previously [5, 6]. The protocol is summarized below: Preparation of reagents and materials Product application on substrates and robot automatic spreading Measurement of initial absorbance using two plate types (290 nm to 400 nm). Calculation of initial in vitro SPF. Calculation of irradiation dose (based on initial in vitro SPF). Irradiation with calculated dose. Measurement of final post‐irradiation absorbance using two plate types (290 nm to 400 nm). Calculation of final in vitro SPF.

Results and discussion

In the previous article, where we described the results of in vitro and in vivo testing of 24 products in 3 separate test laboratories [2], we showed that only 3 data points from the in vitro/in vivo relationship (out of a total of 72; 4.2%) lay outside the ISO acceptance criteria funnel, with no significant bias (see Fig. 1). The 95% confidence intervals of the slope of the in vitro/ in vivo relationship (0.85–1.17) included the expected value (that is, a perfect slope = 1.0), with a non‐significant intercept (−1.48; P = 0.62). Although these data met the requirements for the ISO Acceptance Criteria (95.8% of data points within the upper and lower limits of the funnel), this data set did not account for the full range of emulsion‐type sunscreen products in the marketplace (as they included a majority of O/W products and only one W/O product).
Figure 1

Results from blinded ring study, showing 72 data points laid over the ISO acceptance criteria ‘funnel’.

Results from blinded ring study, showing 72 data points laid over the ISO acceptance criteria ‘funnel’. When the data from testing the 73 W/O (12 mineral + organic, 44 mineral only, 17 organic only) and 3 O/W mineral‐only products were added to this plot (see Fig. 2), 7 data points (out of a new total of 148; 4.7%) lay outside the upper/lower limits of the acceptance criteria funnel.
Figure 2

Results from ring study, showing 148 data points laid over the ISO acceptance criteria ‘funnel’.

Results from ring study, showing 148 data points laid over the ISO acceptance criteria ‘funnel’. A matched‐pairs analysis was performed on the 148 pairs of data (In Vivo vs. In Vitro) which showed no significant bias (Fig. 3; difference average equal to − 0.80, 95% CI −2.44 to 0.84, Student’s test P‐value = 0.34 and Wilcoxon’s test P‐value = 0.39).
Figure 3

results of matched‐pairs analysis performed on the 148 couples of data (in vivo vs. in vitro).

results of matched‐pairs analysis performed on the 148 couples of data (in vivo vs. in vitro). In summary, therefore, the combined data sets from the previous study and this new study show that, across a full range of sunscreen product emulsion types (O/W and W/O; 100 products in total, covering the full range of SPF values marketed within Europe (6–50+), the In Vitro SPF Test Method still meets ISO Acceptance Criteria for alternative SPF test methods to the in vivo reference ISO24444:2010 SPF method. Although we strongly believe that the ISO Acceptance Criteria funnel represents a robust model for testing the validity of alternative SPF test methods, we acknowledge that there are some who may prefer other means of demonstrating equivalence, such as a ‘Bland‐Altman’ plot [7] (a difference plot sometimes used in the fields of analytical chemistry or biomedicine to analyse the degree of agreement between two different assays). The resulting graph is an XY scatter plot, where the y‐axis represents the difference between two paired measurements (A‐B) and the x‐axis represents the average of these measures ((A + B)/2). In other words, the difference of the two paired measurements is plotted against the mean of the two measurements. Bland and Altman [8] recommended that 95% of the data points should lie within ± 2 SD of the mean difference. For completeness, therefore, we used the new data set to construct a Bland–Altman plot (see Fig. 4).
Figure 4

Bland–Altman plot of the 148 pairs of data (in vivo vs. in vitro). The red line shows the bias of the measures, the yellow lines show the 95% Limits of Agreement (LoA), and the dotted lines show the upper and lower limits of bias and 95% LoA.

Bland–Altman plot of the 148 pairs of data (in vivo vs. in vitro). The red line shows the bias of the measures, the yellow lines show the 95% Limits of Agreement (LoA), and the dotted lines show the upper and lower limits of bias and 95% LoA. As 96.6% of the data points are contained with the upper/lower limits of the plot, the new In Vitro SPF test method meets of the success criteria for this method also. Discussing these results further, it is interesting to observe that, when unrealistically high/low data points are added to the data set (Fig. 5), the ‘funnel’ model rejects an hypothesis of agreement between the two methods (as 11 data points from the in vitro/in vivo relationship, 7.4% of a total of 148, lay outside the upper/lower limits).
Figure 5

Funnel with 148 data points plotted, including measured data and 4 unexpected high or low values (shown as black triangles).

Funnel with 148 data points plotted, including measured data and 4 unexpected high or low values (shown as black triangles). In contrast, when these values are added to the data set and analysed using the Bland–Altman approach, only 4 data points now lie outside the upper/lower limits. As this equates to 2.7% of the data set, the Bland–Altman method (wrongly) accepts an hypothesis of agreement (Fig. 6). This is because the introduction of these new unexpected high/low values drives a significant increase in standard deviation and, thus, a change in the upper/lower limits of the model.
Figure 6

Bland–Altman method with 148 data points plotted, including measured data and 4 unexpected high or low values (shown as black triangles).

Bland–Altman method with 148 data points plotted, including measured data and 4 unexpected high or low values (shown as black triangles). These new observations, combined with questions raised by other researchers [9, 10], lead us to believe that, whereas the Bland–Altman method is suitable for comparing homoscedastic methods, it does not provide additional useful information for methods exhibiting heteroscedastic behaviour and, in some cases, may lead to erroneous conclusions.

Conclusion

When a total of 100 emulsion‐type sunscreen products (spanning SPF6 to 50+, comprising W/O, O/W and products with a mineral‐only sun filter system) were tested using the new double‐plate in vitro SPF test method, over 95% of paired in vitro: in vivo SPF values lay within the upper and lower limits of the ISO acceptance criteria funnel, with no bias. This new in vitro SPF test method, therefore, meets the minimum requirements for an acceptable alternative SPF test method (to the current in vivo reference method, ISO24444:2010) for emulsion‐type sunscreen products (which make up the majority of marketed sunscreen products).
  7 in total

Review 1.  Measuring agreement in method comparison studies.

Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

2.  Application of the Bland-Altman plot for interpretation of method-comparison studies: a critical investigation of its practice.

Authors:  Katy Dewitte; Colette Fierens; Dietmar Stöckl; Linda M Thienpont
Journal:  Clin Chem       Date:  2002-05       Impact factor: 8.327

3.  New approach for a reliable in vitro sun protection factor method - Part II: Practical aspects and implementations.

Authors:  S Miksa; D Lutz; C Guy; E Delamour
Journal:  Int J Cosmet Sci       Date:  2016-05-06       Impact factor: 2.970

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

Review 5.  New approach for a reliable in vitro sun protection factor method Part I: Principle and mathematical aspects.

Authors:  S Miksa; D Lutz; C Guy
Journal:  Int J Cosmet Sci       Date:  2015-05-22       Impact factor: 2.970

6.  Validation of an in vitro sun protection factor (SPF) method in blinded ring-testing.

Authors:  M Pissavini; C Tricaud; G Wiener; A Lauer; M Contier; L Kolbe; C Trullás Cabanas; F Boyer; V Nollent; E Meredith; E Dietrich; P J Matts
Journal:  Int J Cosmet Sci       Date:  2018-04-20       Impact factor: 2.970

Review 7.  Understanding Bland Altman analysis.

Authors:  Davide Giavarina
Journal:  Biochem Med (Zagreb)       Date:  2015-06-05       Impact factor: 2.313

  7 in total
  2 in total

1.  Laboratory testing of sunscreens on the US market finds lower in vitro SPF values than on labels and even less UVA protection.

Authors:  David Q Andrews; Kali Rauhe; Carla Burns; Emily Spilman; Alexis M Temkin; Sean Perrone-Gray; Olga V Naidenko; Nneka Leiba
Journal:  Photodermatol Photoimmunol Photomed       Date:  2021-10-19       Impact factor: 3.254

Review 2.  [Characterization of sun protection performance: Quo vadis?]

Authors:  Uli Osterwalder; Christian Surber
Journal:  Hautarzt       Date:  2022-03-25       Impact factor: 0.751

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