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Improving Reproducibility of HPTLC Analysis for Cranberry Supplements Through Digitization and Chemometric

Mengliang Zhang¹, Jianghao Sun², Elizabeth Corwin³

¹Ohio University, Department of Chemistry and Biochemistry, Athens, OH 45701, USA.

Journal of AOAC International

|June 30, 2025

Summary

Digitizing high-performance thin-layer chromatography (HPTLC) and applying chemometric methods significantly reduces variability in botanical supplement analysis. This enhances reproducibility and accuracy for reliable quality control of dietary supplements.

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Area of Science:

Analytical Chemistry
Chemometrics
Botanical Analysis

Background:

High-performance thin-layer chromatography (HPTLC) is crucial for botanical supplement quality control.
Traditional HPTLC interpretation suffers from subjectivity and inter-plate variability, limiting reproducibility.

Purpose of the Study:

To improve HPTLC reproducibility and analytical utility through digitization and chemometric preprocessing.
To enhance the quality assessment of cranberry dietary supplements using advanced analytical techniques.

Main Methods:

Standardized HPTLC protocol applied to diverse cranberry supplements.
Digitization of chromatograms with multiple derivatization and imaging conditions.
Chemometric preprocessing including normalization, retention factor (RF) alignment, PCA, and ANOVA-PCA.

Main Results:

Digitization and preprocessing workflow significantly reduced plate variability (23% to 11%).
Retention factor (RF) alignment increased sample-type variance (59% to 79%), improving classification.
Combined data from multiple conditions enhanced chemical fingerprinting and PCA clustering.

Conclusions:

Digitized HPTLC with chemometric preprocessing modernizes botanical fingerprinting, improving reproducibility and interpretability.
This approach supports robust quality control for botanical products, promoting data transparency and reusability.
Chemometric analysis facilitates data-driven quality assessment and enhances sample classification accuracy.