Overview
EWG's analysis of sunscreens includes customized safety and effectiveness ratings for 1,022 name-brand products ranging from Coppertone and Banana Boat to Hawaiian Tropic and California Baby. Our ratings are based on a unique, in-house compilation of standard industry, government and academic data sources and models that we have constructed over the past four years, and on an extensive review of the technical literature for sunscreen. We have built product ratings into our popular Skin Deep personal care product safety assessment guide, an online consumer tool that garners about one million searches a month.
For this sunscreen analysis we obtained ingredient listings for 1,022 sunscreens primarily from online retailers. We constructed health hazard ratings for each product based on our analysis of information from our in-house database comprising nearly 60 standard industry, academic, and government regulatory and toxicity databases. We rated products for overall effectiveness in sun protection considering three factors: UVB protection (using SPF rating as the indicator of effectiveness); UVA protection (using a standard industry absorbance model to compute two standard UVA protection factors); and stability (using a customized stability database compiled from a review of industry and peer-reviewed stability studies).
Overall, the methods and content of our analysis are based on our review of the technical sunscreen literature, including more than 400 industry and peer-reviewed studies. We compiled the results of our analyses in an online interactive sunscreen guide. The details of our methodology are described below.
Sunscreen rating system Summary
Our sunscreen rating system is based on a product-by-product analysis of safety and effectiveness. In our analysis of a product's effectiveness we weigh three major contributing factors: UVA protection, UVB protection, and the stability of active ingredient combinations. We combine these three factors to derive a product effectiveness (sun hazard) rating. In our analysis of product safety we assess the potential for skin absorption and health hazards for all active ingredients (FDA-approved sunscreens) and all inactive ingredients to derive a product safety (health hazard) rating. We combine these two product ratings, effectiveness and safety, to derive an overall product rating using the following algorithm:
Sunscreen Efficacy (Sun Hazard)
In our analysis of a product's effectiveness we weigh the three major contributing factors (Shaath 2005): UVA protection; UVB protection; and the stability of active ingredient combinations, considering both the potential for active ingredient molecules to break down in sunlight, to react with other ingredients, or to otherwise transform into compounds less effective at filtering UV radiation. We assign a score for each of these factors based on an evaluation of data and technical literature. We derive an overall rating for product effectiveness (sun hazard) as the sum of these three factors, each weighted by our judgment of their relative importance. In this calculation we assign a weight of 0.4 to both UVA and UVB protection, and we assign a weight of 0.2 to stability. The procedures we used in our analysis of sunscreen efficacy are described below.
Figure 1: Source (Herzog 2002)
About absorbance spectra
Absorbance spectra are determined through experiments in which researchers measure the amount and type of UV light filtered out by an ingredient or ingredient combinations at every wavelength along the UVA and UVB spectrum. With absorbance spectra researchers determine the theoretical effectiveness of sunscreen ingredients and sunscreen products.
We based on analysis of sunscreen effectiveness in part on the absorbance spectrum of each active ingredient.
EWG uses absorbance spectra to calculate the UV blocking strength for the ingredients listed in this report. We gathered the absorbance data for each active ingredient in a sunscreen from a variety of published scientific sources, listed below.
With these absorbance spectra we calculate the amount of UV radiation expected to be blocked (i.e., absorbed or scattered) along the UVA and UVB wavelengths. We use these calculations to assess the effectiveness of products.
| Ingredient | Source |
| 4-Methylbenzylidine camphor (4-MBC) | (Vanquerp, Rodriguez et al. 1999) |
| Avobenzone (Parsol 1789 | Butyl Methoxydibenzoylmethane) | (Bonda 2005) |
| Ensulizole (Phenylbenzimidazole Sulfonic Acid) | (Inbaraj, Bilski et al. 2002) |
| Homosalate | (Sánchez and Cuesta 2005) |
| Menthyl Anthranilate | (Beeby and Jones 2000) |
| Mexoryl SX | (Herzog, Hueglin et al. 2005) |
| Micronized Titanium Dioxide | (Herzog 2002; Schlossman and Shao 2005)1 |
| Micronized Zinc Oxide | (Schlossman 2005)1 |
| Octinoxate (Octyl Methoxycinnamate) | (Bonda 2005) |
| Octisalate (Octyl Salicylate) | (Krishnan, Carr et al. 2004) |
| Octocrylene | (Sánchez and Cuesta 2005) |
| Oxybenzone (Benzophenone-3) | (Vanquerp, Rodriguez et al. 1999) |
| Padimate O (Octyl Dimethyl PABA | PABA Ester) | (Krishnan, Carr et al. 2004) |
| Sulisobenzone (Benzophenone-4) | (Sánchez and Cuesta 2005) |
| Tinosorb M | (Herzog, Hueglin et al. 2005) |
| Tinosorb S | (Herzog, Hueglin et al. 2005) |
1 For inorganic active ingredients — titanium dioxide and zinc oxide — the "absorbance spectra" also takes into account the chemical's ability to scatter UV radiation in the UVA range (Schlossman and Shao 2005). In analyses of sunscreen efficacy, we used the absorbance spectra for micronized spectra to represent absorbance for conventional and nano-sized mineral particles as well, as we were unable to identify spectra in the publicly available scientific literature specific to conventional and nano-scale mineral sunscreens.
Absorbance spectra are represented in most of these sources either in graphic or tabular format as a function of wavelength. To use these absorbance spectra in our computations of sunscreen effectiveness, we developed an equation to represent each measured spectra. When necessary, we digitized the graphical absorbance spectra from the sources listed above. We used used the graphing and statistical analysis software package xmGrace (Turner, Team et al. 2004) to determine the best-fit polynomial expression for each absorbance spectra. The maximum error between the digitized data and final fitted values was 1%, and for any given point was less than 0.05% in most cases.
SPF versus MPF
Both SPF and MPF are unitless factors that provide a measure of the amount of UV radiation blocked by sunscreen. SPF is a single value, while MPF varies based on wavelength. SPF is derived from sunburn experiments on human volunteers, while MPF is derived from lab measurements of UV transmission (Herzog 2005). SPF can be computed by combining the MPF spectrum with the effective action spectrum (EA) for sunburn (a measure of how much damage a particular wavelength of light will cause) (McKinlay and Diffey 1987).
The MPF is a measure of the amount of UV radiation blocked (i.e., absorbed or scattered) at a particular wavelength. It is a key component in our evaluation of sunscreen effectiveness. We developed UV transmission spectra for individual active ingredients and for all combinations of active ingredients in products that we assessed. We use the MPF transmission spectrum in our sunscreen report both to graphically represent the effectiveness of sunscreen products and ingredients across the UV spectrum, and to calculate the effectiveness of products in the UVA range. (We use SPF instead of MPF as the measure of product effectiveness in the UVB range.)
We computed the MPF transmission spectra following the method detailed by Herzog and implemented by the Ciba sunscreen simulator (Herzog 2002; Herzog 2006). This model accounts for the effect of uneven skin surfaces, with skin acting as a series of ridges and valleys instead of a smooth surface. The model represents sunscreen on the skin as a thin film with active ingredients distributed unevenly throughout the ridges and valleys by using a 2-step film model from O'Neill (1984):.
where T is the percent transmission of light; ε(λ) is the average molecular absorption coefficient (defined in Herzog), c is the average molar concentration of the active ingredients in moles/liter, d is the path length (20 micrometers is the assumed thickness of sunscreen based upon the recommended applied dose of 2 mg/cm2), and g and f are parameters that were fitted by Herzog (Herzog 2002; Herzog 2006) to match experimental data of European sunscreens and equal 0.269 and 0.935, respectively. Once the transmission spectrum is obtained, it can be transformed into an absorbance spectrum and monochromatic protection factors (MPF).
MPF is given by:
We used the Herzog method (Herzog 2002; Herzog 2006) described above to compute the UV transmission spectra both for individual ingredients and for all variations of active ingredients in the products we assessed. The method requires as input the concentrations of active ingredients. In computations of MPF spectra for individual ingredients, we used the average concentration of that ingredient found in products we assessed. In computations of MPF spectra for products, we used the concentrations of active ingredients specified on the product label. For some products in our database the concentrations of active ingredients were not available from our data sources. In those cases, we used the following heirarchy to establish assumed concentrations of active ingredients used in our MPF analysis:
We evaluated sunscreen effectiveness for a product based in part on our computation of the transmission spectrum for the product's combination of active ingredients. We integrate over the combined effective absorbance spectrum as described by Herzog (Herzog 2002; Herzog 2006), over 1 nm wavelength intervals to obtain overall sunscreen product spectra based on the individual ingredient spectra described above. The spectral information is presented in this report over 10 nm wavelength intervals.
A sunscreen product must generally contain multiple active ingredients to achieve a high SPF rating due to FDA-imposed concentration limits and constraints on product formulation (Chatelain and Gabard 2001). In graphic representations of "UV blocking" in this report, we present the MPFs in 10 nm intervals for each active ingredient.
| SPF/MPF | % light blocked | Color on EWG spectrum |
| 30 | 97 | Darkest |
| 15 | 93 | Lighter |
| 8 | 88 | Lighter |
| 4 | 75 | Lighter |
| 0 to 4 | 50 | White — little protection |
About UVA radiation
UVA protection is not captured by a single standardized test, like UVB protection is with the SPF rating. UVA protection is not required in sunscreens on the market, and many fail to provide it (AAD 2002). UVA-induced oxidative stress damages the skin's ability to protect itself, damaging DNA and chromosomes and potentially contributing to skin cancer (Nelson, 2005).
Government agencies and sunscreen manufacturers have not agreed on a single, standardized test to capture the UVA protection of a sunscreen. EWG selected 2 in vitro methods, the 'Critical Wavelength Approach' and the 'Boots Star Rating System,' to determine the UVA protection of sunscreens. The benefit of the Critical Wavelength Approach is that it captures the effects of exposure over the full UVA spectrum. In contrast, the Boots Star Rating System captures the intensity of UVA protection at a wavelength in the UVA range. The 2 methods are weighted equally in the overall UVA score.
The Critical Wavelength Approach is outlined by Diffey (Diffey 1994; Diffey, Tanner et al. 2000) and supported by the American Academy of Dermatologists (AAD 2002). Diffey's approach determines UVA protectiveness in the region between 290 and 400 nm. The Critical Wavelength is the point on the spectrum between 290 and 400 nm where 90% of the total absorbance occurs. A sunscreen is considered broad-spectrum if the critical wavelength is above 370 nm (Diffey 1994) or 360 nm (CTFA/NDMA 1996).
We computed the Critical Wavelength for each active ingredient and each product in our analysis by integrating over the relevant UV absorption spectrum to find the wavelength corresponding to 90% of the area under the curve between 290 and 400 nm:
We assigned interim scaling factors between 1 and 2 to each of the computed Critical Wavelength for ingredient and products evaluated as follows:
| Critical Wavelength (nm) | Value |
| > = 370 nm | 1 |
| 365 to 370 nm | 1.25 |
| 360 to 365 nm | 1.5 |
| < 360 nm | 2 |
The critical wavelength metric weighs the shape of the absorption curve more heavily than the magnitude. Both are important, and we offset this limitation in our evaluation of a product's UVA effectiveness by incorporating a second UVA metric, the average UVA light blocked. It is useful because it better captures the intensity of UVA protection.
Using this method, a score was assigned to each product:
| Average UVA absorption | >=80% | 70-80% | 60-70% | 50-60% | 40-50% | <40% |
| Score | 1 | 2 | 3 | 4 | 5 | 6 |
By combining results from the 2 methods described above we can account for the two critical factors in UVA protection: broad coverage across the whole UVA spectrum, and the magnitude of protection.
The 2 methods were combined by multiplying the Critical Wavelength value (1 to 2) by the average UVA absorption score (1 to 6) for every product evaluated. This gives a range of 1 to 12. We normalize the resulting values to the standard 0 to 10 scale we use across our sunscreen evaluation and our Skin Deep personal care product assessment methodology.
These methods were selected as an interim method for informing present day consumer choices. More robust in vivo methods should be developed for measuring UVA protection. The American Academy of Dermatologists recommends an in vivo method, such as persistent pigment darkening, or immediate pigment darkening (AAD 2002). However, the development and standardization of new methods is the responsibility of FDA and cosmetic companies, and should include a comparable metric that is relevant to human health. The cosmetics industry first raised this issue in 1996 (CTFA/NDMA 1996), and eleven years later, consumers still have no basis to know if a product adequately products from UVA rays.
We based our evaluation of UVB protection on each product's SPF (Sun Protection Factor), which is the accepted metric for evaluating UVB protectiveness. We scaled the SPF factor to create a UVB rating for each product that ranged from 0 (effective) to 10 (ineffective). This calculation involved the following:
We set a linear relationship between SPF and a product's UVB rating using two pre-established points on the line, defining a UVB rating of 1 (effective) to SPF 30 products, and a UVB rating of 6.4 to SPF 15 products (moderately effective). These points were set to correspond to the 3 standard score ranges we have established in our personal care product rating systems used in this sunscreen analysis as well as in our Skin Deep personal care product assessment guide.
About SPF and sunburn
Sunscreens were originally developed to protect humans against the immediate effects of sunburn. The Sun Protection Factor (SPF) is a measure of the protection of skin from sunburn that compares time the required for a sunburn to develop with and without a sunblock (FDA 1999). Sunscreen SPFs are obtained by testing products on human volunteers (Steinberg 2005).
Sunburned cells will begin forming 16-24 hours after 10-20 minutes of UVB exposure at peak sun intensity (Chatelain and Gabard 2001). SPF is a measure of the extra time that can be spent in the sun before these cells begin forming. Hence, an SPF 30 product would prevent sunburn cells from forming following 300-600 minutes of UVB light exposure on most human skin types.
Our standard 3-tiered scoring system maps integer scores from 0 to 10 into the following 3 categories: 0-2 (low hazard or effective); 3-6 (moderate concern or moderate effectiveness); and 7-10 (higher concern or ineffective). A value of 6.4 was selected for SPF 15 products to correspond to the top of the mid-range (moderate) score range, before truncation to an integer value. This effectively sets SPF 15 at the end of the "moderate" score range, and SPF values less than 15 in the "ineffective" score range to reflect the fact that sunscreens with SPF<15 are generally not recommended by health authorities for sun protection (e.g., AAD 2006).
With this linear relationship established between the UVB rating and SPF, we then calculated scores for the full range of SPF values on products using the following procedure:
| SPF | % UVB spectrum blocked | UVB hazard score | Color on spectrum |
| 30 | 97 | 1 | Darkest |
| 15 | 93 | 6 | Lighter |
| 8 | 88 | 9 | Lighter |
| 4 | 75 | 10 | Lighter |
| 0 to 4 | 50 | 10 | White — little protection |
Absorption of UV light causes many sunscreen active ingredients to undergo chemical reactions or structural changes on the skin. In most cases, these ingredients quickly return to their original form to absorb more energy. However, ingredients can also degrade and may lose their UV protectiveness. In fact, a study by Shaath found that 7 out of 14 common sunscreens in Europe photodegraded significantly after exposure to UV radiation, specifically UVA radiation (Shaath, Fares et al. 1990).
In certain cases, the degradation may also produce other chemicals that are toxic to the skin and body cells, especially if the sunscreen has been absorbed into the skin (Gasparro 1997) or the reactions can speed up (catalyze) the degradation of other ingredients in the sunscreen mixture (Bonda 2005).
Ideally, we'd know laboratory results of photodegradation for each active ingredient in every sunscreen product. Since this information is not publicly available and such testing is not required of manufacturers, a large number of studies from different sources needed to be analyzed. In quantifying these studies, it is difficult to compare results between different studies because different experimental conditions were used (solvent versus sunscreen formulation; measurement of light energy; sample preparation). Additionally, the degradation rate of an ingredient in a dilute laboratory solvent (such as water or ethanol) may or may not be representative of the results during consumer use. Even results in one sunscreen formulation may not be representative of the results in another because of the way different actives behave in different environments.
EWG performed linear regression analysis of percent degradation versus minimal erythmal dose (MED) exposures on solvent and sunscreen formulations. The regression equations for solvent and sunscreen systems were then weighted equally and classified into 3 categories:
| Stability Classification | Extent of Photodegradation after 2 hours of peak intensity sun exposure (10 MEDs) |
| Major Photodegradation | over 25% breakdown |
| Minor Photodegradation | 5% to 25% breakdown |
| No Photodegradation (Photostable) | less than 5% breakdown |
We weighted solvent and formulation results equally because of the wide variation in test conditions and the possibilities that a single sunscreen formulation may not be representative of other sunscreen formulations.
There is insufficient information in the literature on the subject of photostability to reliably guide a sunscreen formulator, let alone the consumer. Our classifications are presented here:
| Active Ingredient | Classification Percent | Degradation with exposure to 10 MEDs |
| 4-Methylbenzylidine Camphor (4-MBC) (Deflandre and Lang 1988; Vanquerp, Rodriguez et al. 1999) | None | Less than 1 |
| Avobenzone (Parsol 1789 | Butyl Methoxydibenzoylmethane) (Deflandre and Lang 1988; Shaath, Fares et al. 1990; Roscher, Lindemann et al. 1994; Schwack and Rudolph 1995) | Major | 42.1 |
| Ensulizole (Phenylbenzimidazole Sulfonic Acid) (Deflandre and Lang 1988; Serpone, Salinaro et al. 2002) — Deflandre et al. found insignificant degradation in a sunscreen formulation; Serpone et al. measured fast degradation in various solvents. | Major | 46.6 |
| Homosalate (Berset, Gonzenbach et al. 1996; Herzog, Mongiat et al. 2002) | Minor | 6.7 - 60 |
| Menthyl Anthranilate (Beeby and Jones 2000) | None | No degradation |
| Mexoryl SX (TDSA) (Deflandre and Lang 1988; Cantrell, McGarvey et al. 1999; Herzog, Hueglin et al. 2005) | Minor | 21.2 |
| Micronized Titanium Dioxide (Schlossman and Shao 2005) | None | No degradation |
| Micronized Zinc Oxide (Schlossman and Shao 2005) | None | No degradation |
| Octinoxate (Octyl Methoxycinnamate) (Deflandre and Lang 1988; Shaath, Fares et al. 1990; Berset, Gonzenbach et al. 1996; Chatelain and Gabard 2001; Serpone, Salinaro et al. 2002) | Minor | 24.8 |
| Octisalate (Octyl Salicylate) (Shaath, Fares et al. 1990; Bonda 2005) | None | 3.3 |
| Octocrylene (Shaath, Fares et al. 1990; Bonda 2005) | None | 1.6 |
| Oxybenzone (Benzophenone-3) (Deflandre and Lang 1988; Shaath, Fares et al. 1990; Roscher, Lindemann et al. 1994; Berset, Gonzenbach et al. 1996; Chatelain and Gabard 2001; Serpone, Salinaro et al. 2002) | Minor | 21.9 |
| Padimate O (Octyl Dimethyl PABA | PABA Ester) (Deflandre and Lang 1988; Serpone, Salinaro et al. 2002) | Major | 44.7 |
| Sulisobenzone (Benzophenone-4) (CIR 2006) | None | No degradation expected |
| Tinosorb M (MBBT) (Herzog, Mongiat et al. 2002; Herzog, Hueglin et al. 2005) | None | 1 |
| Tinosorb S (BEMT) (Chatelain and Gabard 2001; Bonda 2005; Damiani, Baschong et al. 2007) | None | 1 |
In order to account for a situation where an individual ingredient may photodegrade, but the sunscreen itself continues to provide significant protection relative to its original level due to the presence of other active ingredients, we assume that the UV blocking effectiveness of an active ingredient experiencing major degradation is reduced by 50%, and the UV blocking effectiveness of an active ingredient with minor degradation is reduced by 25%.
We then re-integrate over the entire spectrum and compare the degraded spectrum to the original. UVA and UVB protection are weighted equally. Based on the amount of relative degradation, the following scores are applied separately to the UVA and UVB portions:
| % blocking remaining after 10 MED (approximately 2 hours of sun exposure) | Score |
| % Area >90% | 0 |
| 80 < % Area< 90% | 1 |
| 70% < % Area< 80% | 2 |
| 60% < % Area< 70% | 3 |
| % Area <60% | 4 |
Menthyl Anthranilate and Padimate O fluoresce when exposed to sunlight, meaning they absorb in energy in the UVB range, and re-emit it in the UVA range. If an active ingredient fluoresces, then we assign it an additional 1point to the stability score.
The scores for UVA, UVB and fluorescence were added together for the overall stability score, which ranges from 0 to 9, and was then scaled to a range of 0 to 10.
Several inactive ingredients help prevent sun damage through mechanisms other than blocking UV rays. For example, a variety of anti-oxidants scavenge free radicals in cells (Klein and Palefsky 2005). In some cases, claims made with these ingredients are unregulated (Klein and Palefsky 2005), while in others, the SPF itself can no longer be predicted by the sunblocking ability of the actives alone (Stanfield 2005). In the later case, consumers are misled into believing they are receiving more protection than they actually are. For these ingredients, we attenuate the UVA and UVB scores as follows:
| Raw Score | Score Category | Description |
| Attenuating score (improves UVB score by 10%) | Additional protection against UVB induced damage | anti-oxidants protect against UVB induced radiation damage |
| Attenuating score (improves UVA score by 10%) | Additional protection against UVA induced damage | anti-oxidants protect against UVA induced radiation damage |
EWG's health hazard scores were based upon the ingredient health hazard scoring system from our Skin Deep database (www.cosmeticsdatabase.com). This core database of chemical hazards, regulatory status, and study availability pools the data of nearly 60 databases and sources from government agencies, industry panels, academic institutions, or other credible bodies. The information in Skin Deep is used to create hazard ratings and data gap ratings for personal care products, as well as for individual ingredients.
With this report, the Skin Deep scoring system has been extended to include additional hazards specific to sunscreens, as well as beneficial or potentially harmful effects of specific combinations of active ingredients. As in Skin Deep, we looked only at hazards identified by government, industry, and academic sources, and did not evaluate specific claims made by individual manufacturers.
This report includes a closer look at the 17 chemicals permitted by FDA for use as active ingredients in sunscreen (including the various sizes of inorganic sunscreens), and the 52 chemicals used in other countries to prevent UV exposure and added to U.S. sunscreens for another purpose. This included published reports in the peer-reviewed literature and risk assessments from the European Union, Japan, and Australia, countries with robust sunscreen regulations.
Sunscreens sold in the U.S. are considered over-the-counter (OTC) drug products. They contain active ingredients that must undergo safety and effectiveness testing, and inactive ingredients that, like virtually all other personal care product ingredients, are not required to be tested for safety before they are sold. We used different approaches to evaluate active and inactive ingredients.
Active ingredient assessments, as well as assessments of specific active ingredient combinations, were evaluated by conducting an extensive review of the scientific literature. The review included peer-reviewed literature, filed and approved patents, and reviews by government and industry panels, as well as cross-checks with the existing Skin Deep databases. Certain inactive ingredients, such as those that are approved as active ingredients outside the U.S., are also treated as active ingredients for the health and sun hazard reviews.
Inactive ingredient assessments were conducted using the existing Skin Deep system mentioned above (EWG 2007). Skin Deep identifies chemicals with health hazards including known and probable carcinogens, reproductive and developmental toxicants, neurotoxic and immunotoxic chemicals, chemicals flagged for their persistence, bioaccumulation, and toxicity, and chemicals banned or restricted in other countries. Skin Deep assessments also highlight the extensive data gaps for the majority of ingredients used in cosmetics and personal care products.
Briefly, hazard ratings are a synthesis of known and suspected hazards associated with ingredients and products. Hazard ratings within Skin Deep are shown as low, moderate, or higher concern categories, with numeric rankings spanning those categories that range from 0 (low concern) to 10 (higher concern). Data gap ratings describe the extent to which ingredients or products have been definitively assessed for their safety. Data gap ratings are represented within Skin Deep by a numeric percentage ranging from 0% (complete absence of safety data) to 100% (comprehensive safety data).
Further details concerning this methodology may be found on the Skin Deep website (www.cosmeticsdatabase.com).
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