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Binary code, a flexible tool for diagnostic metabolite sequencing of medicinal plants
Qingqing Song1; Jun Li1,2; Yan Cao1; Wenjing Liu1; Huixia Huo1; Jian-Bo Wan3; Yuelin Song1,2; Pengfei Tu1
2019-12
Source PublicationANALYTICA CHIMICA ACTA
ISSN0003-2670
Volume1088Pages:89-98
Abstract

The principle of chromatographic fingerprint is that certain diagnostic metabolites should be always distributed in a given plant and currently, it has been widely accepted as a promising means for medicinal plant authentication. Moreover, the chemical profile is the only evidence to clarify the ingredients of those consumable plant products, e.g. traditional Chinese medicine (TCM) prescriptions. Herein, efforts were made to describe the diagnostic metabolome of medicinal plant or TCM prescription using a binary code sequence. Forty-five well-known medicinal plants along with six relevant prescriptions were employed for concept illustration and proof. Each plant was subjected to chemical characterization, and diagnostic metabolites of all plants were gathered into a chemical pool containing 595 compounds. A robust method enabling the detection of all 595 constituents was then developed using LC coupled to scheduled multiple reaction monitoring. Analyst™ software was responsible for automatically judging the presence (defined as “1”) or absence (defined as “0”) of each analyte with a defined signal-to-noise threshold (S/N > 100). After converting each medicinal plant to a binary sequence consisting of 595 codes, an in-house database was built by involving all sequences. The potentials of sequence library retrieval towards plant authentication, preliminary chemical characterization, and deformulation of TCM prescriptions were demonstrated after that the diagnostic metabolome of each test sample was translated to a binary code sequence. Above all, binary code is a flexible tool for diagnostic metabolite sequencing of medicinal plants, and it should be an alternative tool of DNA barcoding towards plant authentication.

KeywordBinary Code Sequence Medicinal Plant Authentication Scheduled Multiple Reaction Monitoring “coding-decoding”workflow Ingredients Of Traditional Chinese Medicine Prescriptions
DOI10.1016/j.aca.2019.08.039
Indexed BySCI
Language英语
WOS Research AreaChemistry
WOS SubjectChemistry, Analytical
WOS IDWOS:000489857500009
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Affiliation1.Modern Research Center for Traditional Chinese Medicine, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 100029,China
2.Beijing Key Lab for Quality Evaluation of Chinese Meteria Medica, Beijing University of Chinese Medicine, Beijing, 100029, China
3.State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Taipa, 999078, Macao
Recommended Citation
GB/T 7714
Qingqing Song,Jun Li,Yan Cao,et al. Binary code, a flexible tool for diagnostic metabolite sequencing of medicinal plants[J]. ANALYTICA CHIMICA ACTA,2019,1088:89-98.
APA Qingqing Song.,Jun Li.,Yan Cao.,Wenjing Liu.,Huixia Huo.,...&Pengfei Tu.(2019).Binary code, a flexible tool for diagnostic metabolite sequencing of medicinal plants.ANALYTICA CHIMICA ACTA,1088,89-98.
MLA Qingqing Song,et al."Binary code, a flexible tool for diagnostic metabolite sequencing of medicinal plants".ANALYTICA CHIMICA ACTA 1088(2019):89-98.
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