Binary code, a flexible tool for diagnostic metabolite sequencing of medicinal plants
Creators
- 1. 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)
Description
Highlights: • A novel "binary code" concept was proposed to denote diagnostic metabolome of plant. • Combinatory LC-sMRM and Analyst software enable the conversion of binary code sequence. • "1" and "0" codes were automatically assigned to present and absent components. • The potential of binary code sequence matching was widely assessed. • "Binary code" concept should be an auxiliary pipeline for DNA barcoding. -- 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.
Additional details
Identifiers
- DOI
- 10.1016/j.aca.2019.08.039;
- PII
- S0003267019309808;
Publishing Information
- Journal Title
- Analytica Chimica Acta
- Journal Volume
- 1088
- Journal Page Range
- p. 89-98
- ISSN
- 0003-2670
- CODEN
- ACACAM
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55021454
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
- Descriptors DEI
- CHROMATOGRAPHY; CONVERSION; DETECTION; DNA; IDENTIFICATION SYSTEMS; METABOLITES
- Descriptors DEC
- NUCLEIC ACIDS; ORGANIC COMPOUNDS; SEPARATION PROCESSES
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier B.V. All rights reserved.