Determination of sun protection factor in creams using visible near-infrared spectroscopy
Applications | 2018 | MetrohmInstrumentation
Effective sunscreen products are essential to reduce the risk of skin damage and cancer caused by ultraviolet radiation. Reliable determination of SPF is a critical quality control measure in the cosmetics industry, ensuring product safety and performance.
This study evaluates the application of visible near-infrared spectroscopy (Vis-NIRS) for rapid, non-destructive measurement of sunscreen SPF in commercial cream formulations. The goal is to develop a fast method requiring minimal sample preparation.
A set of 14 sunscreen creams covering SPF values from 10 to 50 were analyzed. Approximately 1 g of each sample was loaded into a DS2500 Slurry Cup with a 1 mm gold diffuse reflector. Spectra were recorded in transflection mode over 400–2500 nm. Pretreatment included second derivative and standard normal variate (SNV). A Partial Least Squares (PLS) regression model with four factors was calibrated and internally cross-validated.
The PLS model achieved high predictive performance with R² = 0.9932, SEC = 1.30 SPF units, and SECV = 2.20 SPF units. Spectral trends clearly correlate absorbance features with SPF levels, demonstrating Vis-NIRS capability for accurate quantification.
Advancements may include integration with production-line monitoring, development of portable NIRS devices for on-site QC, and enhanced chemometric algorithms for multi-parameter analysis of personal care products.
Visible NIRS on the Metrohm DS2500 platform offers a fast, reliable, and eco-friendly approach for SPF determination in creams. The method supports quality control workflows with minimal operational complexity and high analytical performance.
NIR Spectroscopy
IndustriesOther
ManufacturerMetrohm
Summary
Significance of the Topic
Effective sunscreen products are essential to reduce the risk of skin damage and cancer caused by ultraviolet radiation. Reliable determination of SPF is a critical quality control measure in the cosmetics industry, ensuring product safety and performance.
Aims and Study Overview
This study evaluates the application of visible near-infrared spectroscopy (Vis-NIRS) for rapid, non-destructive measurement of sunscreen SPF in commercial cream formulations. The goal is to develop a fast method requiring minimal sample preparation.
Methodology
A set of 14 sunscreen creams covering SPF values from 10 to 50 were analyzed. Approximately 1 g of each sample was loaded into a DS2500 Slurry Cup with a 1 mm gold diffuse reflector. Spectra were recorded in transflection mode over 400–2500 nm. Pretreatment included second derivative and standard normal variate (SNV). A Partial Least Squares (PLS) regression model with four factors was calibrated and internally cross-validated.
Used Instrumentation
- NIRS DS2500 Analyzer (400–2500 nm)
- DS2500 Slurry Cup accessory
- 1 mm gold diffuse reflector
- Vision Air 2.0 software suite
Main Results and Discussion
The PLS model achieved high predictive performance with R² = 0.9932, SEC = 1.30 SPF units, and SECV = 2.20 SPF units. Spectral trends clearly correlate absorbance features with SPF levels, demonstrating Vis-NIRS capability for accurate quantification.
Benefits and Practical Applications
- Rapid analysis (<30 s) without sample preparation
- Non-destructive measurement preserving samples
- No chemical waste generation
- Easy cleaning and rapid throughput
- Potential for simultaneous measurement of moisture and additives
Future Trends and Possibilities
Advancements may include integration with production-line monitoring, development of portable NIRS devices for on-site QC, and enhanced chemometric algorithms for multi-parameter analysis of personal care products.
Conclusion
Visible NIRS on the Metrohm DS2500 platform offers a fast, reliable, and eco-friendly approach for SPF determination in creams. The method supports quality control workflows with minimal operational complexity and high analytical performance.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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