Field Identification of <em>Matricaria chamomilla</em> using a Portable qPCR System
Author(s) -
Zhengxiu Yang,
Zheng Quan,
Tiffany Chua,
Leo Li,
Yanjun Zhang,
Silva Babajanian,
Francesco Buongiorno,
Isabella Della Noce,
Lorenzo Colombo,
Steven G. Newmaster,
Tricia Chua,
Peter Chang,
Gary Swanson,
Zhengfei Lu
Publication year - 2020
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/60940
Subject(s) - protocol (science) , identification (biology) , dna extraction , replicate , computer science , biochemical engineering , microbiology and biotechnology , sample (material) , polymerase chain reaction , quality (philosophy) , computational biology , environmental science , process engineering , biology , engineering , medicine , mathematics , botany , chromatography , chemistry , statistics , genetics , physics , alternative medicine , pathology , quantum mechanics , gene
Quality control in botanical products begins with the raw material supply. Traditionally, botanical identification is performed through morphological assessment and chemical analytical methods. However, the lack of availability of botanists, especially in recent years, coupled with the need to enhance quality control to combat the stresses on the supply chain brought by increasing consumer demand and climate change, necessitates alternative approaches. The goal of this protocol is to facilitate botanical species identification using a portable qPCR system on the field or in any setting, where access to laboratory equipment and expertise is limited. Target DNA is amplified using dye-based qPCR, with DNA extracted from botanical reference materials serving as a positive control. The target DNA is identified by its specific amplification and matching its melting peak against the positive control. A detailed description of the steps and parameters, from hands-on field sample collection, to DNA extraction, PCR amplification, followed by data interpretation, has been included to ensure that readers can replicate this protocol. The results produced align with traditional laboratory botanical identification methods. The protocol is easy to perform and cost-effective, enabling quality testing on raw materials as close to the point of origin of the supply chain as possible.
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