Uv Data Manager Software

Skin cancer is the most common type of cancer diagnosed in the USA, it is estimated one in five Americans will develop skin cancer in their lifetime. 1-4The most serious class of skin cancers are the melanomas, developing in the melanocyte cells of skin. The World Health Organization (WHO) estimates 65,000 mortalities per year attributed to melanomas. 5 Around 95% of melanomas are caused by exposure to UV radiation.

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6Due to damaging effects of UV light on skin, increasing numbers of cosmetics and personal care products are formulated with chemicals that actively filter out UV radiation. However long term contact with chemical sunscreens may increase the risk of developing a skin allergy to sunlight. 7 For this reason the type and amount of sunscreen agents in formulations have been strictly regulated around the world and effective methods for simultaneously detecting multiple chemical sunscreen agents in formulations are necessary. 8 HPLC has been applied extensively to this application. 9 However, drawbacks associated with methods published to date include prohibitive analysis times on HPLC scale columns and/or the use of toxic solvents.In this application note, we show how Waters ACQUITY UPLC H-Class PLUS System with 6-port Column Manager coupled with the ACQUITY UPLC PDA and ACQUITY QDa detectors can be used to quickly and efficiently establish a number of method parameters.

Empower 3 Software’s Custom Reporting, Custom Fields, and Mass Analysis features can be used to streamline the decision making process during method development. A panel of seven UV filters from different chemical and regulatory classes (Figure 1) was assembled for method development on the ACQUITY UPLC H-Class PLUS System with PDA/QDa detection equipped with 6-port Column Manager under Empower 3 Software control. These UV filters were deliberately chosen because they have proven difficult to fully resolve by typical HPLC methods: homosalate, octylsalicylate, and avobenzone, and two later generation UV filters that have so far shown to have prohibitive retention times for HPLC analysis: octyltriazone and bemotrizinol. Peak tracking with Mass DetectionEmpower 3 Software’s Mass Analysis window can be utilized to link UV and mass data together so that peaks in the UV trace are annotated with a mass-to-charge ( m/z) value.

This enables rapid, selective tracking of peaks and eliminates the requirement to inject individual standards. Consequently as different mobile phases, pHs, and columns are screened, peak migration (i.e., changes in column selectivity) can be immediately assessed and optimum conditions quickly ascertained. Figure 2 shows how changing the column chemistry, organic modifier, and temperature impacts the separation of four of the seven UV filters on moving from (A) a BEH phenyl column run with acetonitrile as the organic modifier at higher pH and temperature, to (B) a BEH C 18 column in methanol at low pH and low temperature.

Mining the dataEmpower 3 Software was utilized to quickly summarize large numbers of injections without the need for manual review of each individual chromatogram within whole data sets. Empower can be used to rapidly summarize the effects of temperature, organic modifier, pH, and column chemistry via simple drop down menus in Empower Report Publisher. Interpretation of the method scouting data of the seven UV filters, in conjunction with these custom reporting features resulted in an easy to read summary report.Figures 3 and 4 show how the reports summarized each injection in the method development dataset in terms of criteria required for the final method. Figure 3 shows the method development data summarized by total number of peaks in each chromatogram. Figure 4 shows a summary of each injection in terms of its total resolution of all the peaks in the chromatogram. Datasets were separated by mobile phase pH to aid visualization.

These values can be automatically combined to determine an injection score for each injection. Injection scores can be configured to account for any chromatographic criteria that the method development group uses to make decisions.

Figure 5 shows injection scores for the method development sets combining total peaks, total resolution, and total peak width for each injection. The highest scoring injections are marked by an asterisk. By using Empower 3 custom data mining and custom reporting tools, it was quickly apparent that in the method development exercise employed to optimize UV filter analysis, ACQUITY BEH Shield RP Column offered the most efficient column chemistry and in this case, method optimization activities should be concentrated on a mobile phase at low pH. The optimized method was used to analyze three commercially available sunscreen formulations for the presence of UV filter ingredients. Figure 7 shows sample chromatograms and results tables with%weight calculated for each of the UV actives detected. All of the sunscreen formulations tested were found to be in compliance with the regulations for the EU region (Table 1), from which they were sourced, and the UV filters detected were in agreement with the ingredients listed on the formulation labels with no false positives or negatives.

Additional optional Empower 3 Software features are available for deployment in a regulatory compliant production or quality control environment. For more information, visit www.waters.com/mvm. An efficient method development screening process was employed utilizing short UPLC columns and a generic gradient to fast track the method analysis screening time. Guy, G.P.; Thomas, C.C.; Thompson, T.; Watson, M.; Massetti, G.M.; Richardson, L.C.

Vital Signs: Melanoma Incidence and Mortality Trends and Projections. MMWR Morb Mortal Wkly Rep.

2015, 64(21), 591–596. Guy, G.P.; Machlin, S.; Ekwueme, D.U.; Yabroff, K.R. Prevalence and Costs of Skin Cancer Treatment in the US. Am J Prev Med. 2015, 48, 183–7. Stern, R.S. Prevalence of a History of Skin Cancer in 2007: Results of an Incidence-based Model.

Arch Dermatol. 2010, Mar, 146(3), 279–82. Robinson, J.K. Sun Exposure, Sun Protection, and Vitamin D.

2005, 294, 1541–43. World Health Organization.

Labsolutions Uv Vis

Solar Ultraviolet Radiation: Global Burden of Disease from Solar Ultraviolet Radiation. Environmental Burden of Disease Series.

Shimadzu Labsolutions Client Server

N.13, 2006. Islami, F., et al.

Proportion and Number of Cancer Cases and Deaths Attributable to Potentially Modifiable Risk Factors in the United States. Cancer J Clin. Published online Nov. Doi:10.3322/caac.21440. He, Q.S.; Xu, N.; Liao, S.F. Determination of 12 Sunscreen Agents in Cosmetics by High Performance Liquid Chromatography. 2011, 29, 62–767.

Pirotta, G. Household and Personal Care Today. 2015, 10(4), 19–24. Salvador A,; Chisvert A. Sunscreen Analysis: A Critical Survey on UV Filters Determination.

Anal Chim Acta. 2005, 537(1), 1–14.