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Yang YL, Adel Al-Mahdy D, Wu ML, Zheng XT, Piao XH, Chen AL, Wang SM, Yang Q, Ge YW. LC-MS-based identification and antioxidant evaluation of small molecules from the cinnamon oil extraction waste. Food Chem 2021; 366:130576. [PMID: 34348222 DOI: 10.1016/j.foodchem.2021.130576] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 06/10/2021] [Accepted: 07/08/2021] [Indexed: 12/23/2022]
Abstract
Cinnamon oil is obtained by steam distillation from cinnamon leaves and is usually considered highly cost-effective compared to bark oil, however, which results in tons of waste cinnamon leaves (WCL) discarded annually. By using MS/MS molecular networking (MN) assisted profiling, six main chemical diversities including flavonols and flavones, phenolic acids, lactones, terpenoids, phenylpropanoids and flavanols were rapid revealed from WCL aqueous extract. 101 compounds were tentatively identified by assigning their MS/MS fragments within typical pathways under ESI-MS/MS dissociation. The featured phenolic acids, terpenoids and their glycosides in cinnamon species were recognized as the main constituents of WCL. The hydrophilic lactones, lignans and flavanols were reported for the first time in cinnamon leaves. Furthermore, ABTS and FRAP assays integrated with MN analysis were conducted to uncover an antioxidant fraction, from which 40 potential antioxidant compounds were rapidly annotated. This fundamental information will help expand the utilization of WCL from cinnamon oil industry.
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Affiliation(s)
- Ya-Ling Yang
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China; School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Dalia Adel Al-Mahdy
- Department of Pharmacognosy, Faculty of Pharmacy, Cairo University, Kasr-El-Ainy, Cairo 11562, Egypt
| | - Miao-Li Wu
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China; School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Xiao-Tao Zheng
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China; School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Xiu-Hong Piao
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China; School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - A-Li Chen
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Shu-Mei Wang
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China.
| | - Quan Yang
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of State Administration of Traditional Chinese Medicine for Production & Development of Cantonese Medicinal Materials, Guangzhou 510006, China.
| | - Yue-Wei Ge
- School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China; Key Laboratory of Digital Quality Evaluation of Chinese Materia Medica of State Administration of TCM, Guangdong Pharmaceutical University, Guangzhou 510006, China; Engineering & Technology Research Center for Chinese Materia Medica Quality of the Universities of Guangdong Province, Guangdong Pharmaceutical University, Guangzhou 510006, China.
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Martínez-Treviño SH, Uc-Cetina V, Fernández-Herrera MA, Merino G. Prediction of Natural Product Classes Using Machine Learning and 13C NMR Spectroscopic Data. J Chem Inf Model 2020; 60:3376-3386. [DOI: 10.1021/acs.jcim.0c00293] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Saúl H. Martínez-Treviño
- Departamento de Fı́sica Aplicada, Centro de Investigación y de Estudios Avanzados, Km. 6 Antigua carretera a Progreso Apdo. Postal 73, Cordemex, 97310 Mérida, Mexico
| | - Víctor Uc-Cetina
- Facultad de Matemáticas, Universidad Autónoma de Yucatán, Av. Industrias no contaminantes, S/N, 97119 Mérida, Yucatán, Mexico
| | - María A. Fernández-Herrera
- Departamento de Fı́sica Aplicada, Centro de Investigación y de Estudios Avanzados, Km. 6 Antigua carretera a Progreso Apdo. Postal 73, Cordemex, 97310 Mérida, Mexico
| | - Gabriel Merino
- Departamento de Fı́sica Aplicada, Centro de Investigación y de Estudios Avanzados, Km. 6 Antigua carretera a Progreso Apdo. Postal 73, Cordemex, 97310 Mérida, Mexico
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