Food Dye HPLC-DAD Method Analytical Validation: Precision and Reliability Studies, Optimized Using the Box–Behnken Experimental Design

This study presents the validation of a high-performance liquid chromatography with diode array detection method for the simultaneous quantification of 11 food dyes. The method was developed using the Box–Behnken Design to maximize the efficiency of separation and improve the robustness of the analysis. Validation parameters for the method included linearity, accuracy, limit of detection|limits of detection, limit of quantification|limits of quantification, limit of repeatability-reproducibility, and recovery of samples by the internationally recognized methods. The method obtained excellent linearity (R2 > 0.998), low LODs, and high recovery (>90%). The limits of repeatability and limit of reproducibility had low relative standard deviations, indicating the reliability of the method. The validated method was tested on commercially available food products. Results were also compared with spectrophotometric analysis, demonstrating good consistency. This validated method provides a reliable and sensitive approach for routine quality control and regulatory monitoring of dyes in food matrices, supporting consumer safety and compliance with international food standards.

Authors

Institutions

Publication Details

Journal
ACS Food Science & Technology
Published
2025-06-02
DOI
https://doi.org/10.1021/acsfoodscitech.5c00259
Primary Topic
Dye analysis and toxicity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Food Dye HPLC-DAD Method Analytical Validation: Precision and Reliability Studies, Optimized Using the Box–Behnken Experimental Design

Ali Laajeb, Abdelali El Gaidoumi, Abdellah Addaou, Karim Tanji et al.
2 links
ACS Food Science & Technology
Dye analysis and toxicity
article

Food Dye HPLC-DAD Method Analytical Validation: Precision and Reliability Studies, Optimized Using the Box–Behnken Experimental Design

Ali Laajeb, Abdelali El Gaidoumi, Abdellah Addaou, Karim Tanji, Youssef Miyah, Lamyae Mardi, Omar Boualam, Ahde El Imache, Salma El-Hafed, Fahd Seghyar
article en

Abstract

This study presents the validation of a high-performance liquid chromatography with diode array detection method for the simultaneous quantification of 11 food dyes. The method was developed using the Box–Behnken Design to maximize the efficiency of separation and improve the robustness of the analysis. Validation parameters for the method included linearity, accuracy, limit of detection|limits of detection, limit of quantification|limits of quantification, limit of repeatability-reproducibility, and recovery of samples by the internationally recognized methods. The method obtained excellent linearity (R2 > 0.998), low LODs, and high recovery (>90%). The limits of repeatability and limit of reproducibility had low relative standard deviations, indicating the reliability of the method. The validated method was tested on commercially available food products. Results were also compared with spectrophotometric analysis, demonstrating good consistency. This validated method provides a reliable and sensitive approach for routine quality control and regulatory monitoring of dyes in food matrices, supporting consumer safety and compliance with international food standards.

ACS Food Science & TechnologyVol. 5(6)
Université Ibn-Tofail (MA), Instituts Supérieurs des Professions Infirmières et Techniques de Santé (MA), Université Sultan Moulay Slimane (MA), Chouaib Doukkali University (MA), Instituto Superior da Maia (PT), Sidi Mohamed Ben Abdellah University (MA)
Zero hunger
Openalex Percentile: Top 86%
Dye analysis and toxicity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Food Dye HPLC-DAD Method Analytical Validation: Precision and Reliability Studies, Optimized Using the Box–Behnken Experimental Design — Ali Laajeb, Abdelali El Gaidoumi, et al. · ACS Food Science & Technology (2025) | TGRS Research Map | TGRS