Single-Laboratory Validation of a Two-Tiered DNA Barcoding Method for Raw Botanical Identification

• Published in: Journal of AOAC International Vol. 102; no. 5; pp. 1435 - 1447
• Main Authors: Lu, Zhengfei, Thompson, Christopher M, Chua, Tiffany, Babajanian, Silva, Zhang, Yanjun, Gao, Quanyin, Chang, Peter, Swanson, Gary
• Format: Journal Article
• Language: English
• Published: England 01.09.2019
• Subjects: DNA Barcoding, Taxonomic - methods; Plants, Medicinal - classification; Plants, Medicinal - genetics
• ISSN: 1060-3271; 1944-7922
• DOI: 10.1093/jaoac/102.5.1435

The applications of deoxyribonucleic acid (DNA) barcoding methods have been extended from authenticating taxonomic provenance of animal products to identifying botanicals used as herbal medicine and in botanical dietary supplements. DNA barcoding methods for botanical identification must be adequately validated to meet regulatory compliance. The goal of this study is to provide a validation protocol for a two-tiered DNA barcoding method that aims to identify raw botanicals. A barcode database was computationally validated to define the barcode combinations that can unambiguously identify botanicals in the database. A maximum variation sampling technique was used to capture a wide range of perspectives relating to DNA barcode-based botanical identification, including plant parts and species distance, for the experimental validation. Twenty-two authenticated botanicals were purposively sampled from different plant parts-covering both closely related and distantly related species-to validate the two-tiered DNA barcoding method. The performance of the method was assessed on accuracy, precision, ruggedness, and uncertainty. High accuracy (100%) and precision (1.0) were obtained from the validation samples. The method was also found to be rugged and have acceptable uncertainty. The method was validated and suitable for DNA-based identification of botanical raw materials listed in the current database. This work will provide support guidance for manufacturers and regulatory policy makers to implement equivalent validated and compliant DNA-based testing in quality control processes to improve botanical raw material identification and authentication.