LC/MS/MS Optimization of Organic Ultraviolet (UV) Filters

Applications | 2025 | Agilent TechnologiesInstrumentation
LC/MS, LC/MS/MS, LC/QQQ
Industries
Environmental
Manufacturer
Agilent Technologies

Summary

Significance of UV Filter Analysis


This study addresses the growing need for sensitive, streamlined detection of organic ultraviolet filters (UVFs) in environmental and biological samples. UVFs, widely used in sunscreens and personal care products, can persist in water, soil, and biota, presenting potential ecological and human health risks. A unified analysis method that captures both positive- and negative-ionizing UVFs in a single run enhances throughput, reduces cost, and improves detection limits compared to conventional UV-DAD approaches.

Objectives and Study Overview


The primary aim was to develop and validate a high-performance liquid chromatography–tandem mass spectrometry (HPLC/MS/MS) method with polarity switching to quantify eight prevalent UVFs in environmental matrices. The method was benchmarked against diode array detection and earlier gas chromatography techniques to demonstrate superior sensitivity, selectivity, and operational efficiency.

Methodology and Instrumentation


The analytical workflow employed an Agilent 1260 Infinity II HPLC system coupled to an Agilent 6470B triple quadrupole mass spectrometer. Chromatographic separation used an InfinityLab Poroshell 120 EC-C18 column (2.1 × 50 mm, 1.9 µm) with a gradient of 0.05% formic acid in water and acetonitrile at 0.4 mL/min. The MS operated in dynamic multiple reaction monitoring (dMRM) with fast polarity switching between positive and negative electrospray modes. Key MS parameters (gas flows, voltages, temperatures) were optimized to maximize ionization efficiency across the UVF panel.

Used Instrumentation


  • Agilent 1260 Infinity II LC system with Multisampler, Flexible Pump, and Column Heater
  • InfinityLab Poroshell 120 EC-C18 analytical and guard columns
  • Agilent 6470B triple quadrupole LC/MS with polarity-switching ESI
  • Agilent Optimizer software for MRM transition development

Main Results and Discussion


The method achieved baseline resolution of all eight target compounds within a six-minute run time. Optimized MRM transitions provided quantifier and qualifier ions for each UVF; isotopically labeled analogs served as internal standards to correct for response variability, particularly for lower-abundance analytes (octisalate, homosalate). Detection limits in water samples reached low ng/L levels, substantially improving upon UV-DAD performance. Chromatograms demonstrated reproducible peak shapes, retention times, and signal-to-noise ratios, validating method robustness.

Benefits and Practical Applications


  • Comprehensive quantitation of diverse UVFs in a single injection
  • Lower detection limits suitable for trace-level environmental monitoring
  • Streamlined workflow reduces instrument time and consumable usage
  • Applicability to water, soil, and biological matrices for regulatory and research purposes

Future Trends and Opportunities


Advances in high-resolution mass spectrometry and data-independent acquisition could further enhance selectivity and retrospective data analysis. Integration with automated sample preparation and green solvent systems may improve throughput and sustainability. Expanding the method to emerging UVF metabolites and transformation products will support comprehensive fate and risk assessments.

Conclusion


The developed HPLC/MS/MS method with polarity switching successfully quantifies both positive- and negative-mode UV filters in a single, rapid analysis. It offers superior sensitivity and efficiency over traditional UV-DAD, fulfilling the critical need for accurate environmental and biological monitoring of UVF contaminants.

References


1. Huang YR et al. Sci. Total Environ. 2021, 755, 142486.
2. Jesus A et al. Pharmaceuticals 2022, 15(3), 263.
3. Castilloux AD et al. Environ. Sci. Technol. 2022, 56(8), 5009–5019.
4. Cadena-Aizaga MI et al. Trends Environ. Anal. Chem. 2020, 25, e00079.
5. Juksu K et al. Ecotoxicol. Environ. Saf. 2020, 204, 110952.
6. Guesmi A et al. Rapid Commun. Mass Spectrom. 2020, 34(8), e8679.
7. Astel A et al. Water 2020, 12(11), 3024.
8. Speirs MP, Zhao L. Agilent application note, 2019, 5994-1611EN.
9. Brown AK, Farenhorst A. J. Chromatogr. A 2023, 1704, 464132.

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