Quality Evaluation of GEI HERBA Based on Electronic Eye and Fingerprint

doi:10.19803/j.1672-8629.20250300

Abstract

Abstract: Objective To establish a rapid quality evaluation method that can identify key quality markers in multiple batches of GEI HERBA materials by integrating fingerprint analysis and electronic eye intelligent detection technology. Methods Sixteen batches of GEI HERBA from different origins were collected. High-performance liquid chromatography (HPLC) was employed to establish a fingerprint profile, and DPPH free radical scavenging assays were performed to evaluate antioxidant activities. Spectrum-effect relationship analysis was conducted to identify potential quality control markers. Subsequently, electronic eye technology was used to analyze the samples, and Pearson correlation analysis was conducted to assess the relationships between electronic eye parameters and the identified markers. Results A validated HPLC fingerprint method was established at 254 nm, with acceptable repeatability, precision, and stability. Thirteen common peaks were detected, six of which were identified by reference standards: gallic acid, Gemin G, Gemin B, tellimagrandin, Gemin A, and ellagic acid. Similarity indices between batches and the reference fingerprint ranged from 70.9% to 99.0%, indicating notable batch-to-batch variability. The DPPH radical scavenging activity (IC₅₀) of the samples ranged from 42.0 to 113.4μg·mL^-1. Correlation analysis revealed that six chromatographic peaks had significant positive correlations (P<0.05) with antioxidant activity. Peak 11 (Gemin A) ranked first, followed by peak 13 (ellagic acid), peak 6, peak 1 (gallic acid), peak 2, and peak 7. Electronic eye analysis found that peak 13 (ellagic acid) and peak 11 (Gemin A) were significantly positively correlated (P<0.05) with the lightness(L^* value), suggesting that higher L^* values corresponded to higher contents of these two compounds. Conclusion This study has established an HPLC fingerprinting method for GEI HERBA and identified antioxidant-related quality control markers. Additionally, a significant correlation is observed between electronic eye-derived L^* values and the contents of ellagic acid and Gemin A.

Key words: GEI HERBA, Ellagic Acid, Germin A, Electronic Eye, Fingerprint Chromatograms, Chromaticity Value, Quality Evaluation, Quality Control Markers

CLC Number:

R282
R994.11

LI Xinghong, ZHU Xiaoyu, TIAN Guanghuan, DUAN Cancan, DENG Yong, ZHANG Jianyong, WU Hongwei. Quality Evaluation of GEI HERBA Based on Electronic Eye and Fingerprint[J]. Chinese Journal of Pharmacovigilance, 2025, 22(11): 1229-1235.

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https://zgywjj.magtechjournal.com/EN/Y2025/V22/I11/1229

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