Chemometrics-assisted high performance liquid chromatography-diode array detection strategy to solve varying...

Area of Science:

• Analytical Chemistry
• Chemometrics
• Food Analysis

Background:

• Analyzing synthetic colorants in food matrices is challenging due to complex sample compositions.
• Varying chromatographic columns and sample matrices introduce interfering patterns in HPLC-DAD analysis.
• Accurate and simultaneous determination of multiple colorants requires robust analytical strategies.

Purpose of the Study:

• To develop a chemometrics-assisted HPLC-DAD strategy for rapid, simultaneous determination of six synthetic colorants.
• To address challenges posed by different chromatographic columns and sample matrices.
• To validate the method's accuracy, economy, and universality in complex food samples.

Main Methods:

• Utilized High Performance Liquid Chromatography-Diode Array Detection (HPLC-DAD).
• Employed alternating trilinear decomposition (ATLD) for data analysis.
• Investigated two types of LC columns under identical elution conditions.
• Compared results with traditional HPLC-UV methods.

Main Results:

• The ATLD method successfully resolved co-eluting colorants across different columns and complex backgrounds.
• Accurate chromatographic and spectral profiles, along with relative concentrations, were obtained.
• Results were consistent with traditional HPLC-UV analysis, confirming method accuracy.

Conclusions:

• The proposed chemometrics-assisted HPLC-DAD method is accurate, economical, and versatile.
• The strategy effectively overcomes interfering patterns from diverse columns and matrices.
• This method shows promise for analyzing complex food samples, including beverages.