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Li Y, Zhou Z, Wu Q, Chen B, Ye S, Cui Y, Ding Y. Untargeted metabolomics combined with vitro antioxidant to comprehensively evaluate the effect of sodium sulfite immersion on the holistic quality of mung bean sprouts. J Food Sci 2024; 89:4839-4855. [PMID: 38922905 DOI: 10.1111/1750-3841.17147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 06/28/2024]
Abstract
Mung bean sprouts are widely consumed as a seasonal fresh vegetable, renowned for their affordability and richness in antioxidants and bioactive compounds. This study employed ultra-high-performance liquid chromatogram-Q-Exactive HF mass spectrometry (UHPLC-QE-MS) and multivariate statistical analysis to comprehensively evaluate the chemical profile of mung bean sprouts following sulfite immersion. The findings revealed a significant alteration in the overall chemical composition of mung bean sprouts following sodium sulfite immersion. Eleven components, including four sulfur-containing compounds, were identified as characteristic markers distinguishing between non-immersed and sodium sulfite-immersed mung bean sprouts. Esterification and addition reactions were inferred to occur during sodium sulfite immersion, leading to the transformation of flavonoid and saponin sulfates. Commercial samples analysis indicated that sulfur-containing compounds were detectable in 9 of 11 commercial mung bean sprouts. Meanwhile, when sodium sulfite concentration exceeded 3.00 mg/mL and immersion time exceeded 360 min, the contents of total polyphenol and flavonoid were significantly reduced and the antioxidant activity was adversely influenced.
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Affiliation(s)
- Yaxin Li
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
| | - Zheng Zhou
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
| | - Qi Wu
- Sub-Institute of Agriculture and Food Standardization, China National Institute of Standardization, Beijing, China
| | - Baoguo Chen
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
| | - Shuhong Ye
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
| | - Yuna Cui
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
| | - Yan Ding
- SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
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2
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Li Y, Dong P, Shang Z, Dai L, Wang S, Zhang J. Unveiling the Chemical Composition of Sulfur-Fumigated Herbs: A Triple Synthesis Approach Using UHPLC-LTQ-Orbitrap MS-A Case Study on Steroidal Saponins in Ophiopogonis Radix. Molecules 2024; 29:702. [PMID: 38338446 PMCID: PMC10856428 DOI: 10.3390/molecules29030702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 01/24/2024] [Accepted: 01/28/2024] [Indexed: 02/12/2024] Open
Abstract
Ophiopogonis Radix (OR) is a traditional Chinese medicine. In recent years, in order to achieve the purpose of drying, bleaching, sterilizing and being antiseptic, improving appearance, and easy storage, people often use sulfur fumigation for its processing. However, changes in the chemical composition of medicinal herbs caused by sulfur fumigation can lead to the transformation and loss of potent substances. Therefore, the development of methods to rapidly reveal the chemical transformation of medicinal herbs induced by sulfur fumigation can guarantee the safe clinical use of medicines. In this study, a combined full scan-parent ions list-dynamic exclusion acquisition-diagnostic product ions analysis strategy based on UHPLC-LTQ-Orbitrap MS was proposed for the analysis of steroidal saponins and their transformed components in sulfur-fumigated Ophiopogonis Radix (SF-OR). Based on precise mass measurements, chromatographic behavior, neutral loss ions, and diagnostic product ions, 286 constituents were screened and identified from SF-OR, including 191 steroidal saponins and 95 sulfur-containing derivatives (sulfates or sulfites). The results indicated that the established strategy was a valuable and effective analytical tool for comprehensively characterizing the material basis of SF-OR, and also provided a basis for potential chemical changes in other sulfur-fumigated herbs.
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Affiliation(s)
- Yanan Li
- School of Traditional Chinese Medicine, Binzhou Medical University, Yantai 264003, China
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Pingping Dong
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Macao SAR 999078, China
| | - Zhanpeng Shang
- School of Pharmacy, Beijing University of Chinese Medicine, Beijing 100191, China
| | - Long Dai
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Shaoping Wang
- School of Traditional Chinese Medicine, Binzhou Medical University, Yantai 264003, China
- School of Pharmacy, Binzhou Medical University, Yantai 264003, China
| | - Jiayu Zhang
- School of Traditional Chinese Medicine, Binzhou Medical University, Yantai 264003, China
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3
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Wang M, Yao C, Li J, Wei X, Xu M, Huang Y, Mei Q, Guo DA. Software Assisted Multi-Tiered Mass Spectrometry Identification of Compounds in Traditional Chinese Medicine: Dalbergia odorifera as an Example. Molecules 2022; 27:2333. [PMID: 35408733 PMCID: PMC9000885 DOI: 10.3390/molecules27072333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/01/2022] [Accepted: 04/01/2022] [Indexed: 11/30/2022] Open
Abstract
The complexity of metabolites in traditional Chinese medicine (TCM) hinders the comprehensive profiling and accurate identification of metabolites. In this study, an approach that integrates enhanced column separation, mass spectrometry post-processing and result verification was proposed and applied in the identification of flavonoids in Dalbergia odorifera. Firstly, column chromatography fractionation, followed by liquid chromatography-tandem mass spectrometry was used for systematic separation and detection. Secondly, a three-level data post-processing method was applied to the identification of flavonoids. Finally, fragmentation rules were used to verify the flavonoid compounds. As a result, a total of 197 flavonoids were characterized in D. odorifera, among which seven compounds were unambiguously identified in level 1, 80 compounds were tentatively identified by MS-DIAL and Compound Discoverer in level 2a, 95 compounds were annotated by Compound discoverer and Peogenesis QI in level 2b, and 15 compounds were exclusively annotated by using SIRIUS software in level 3. This study provides an approach for the rapid and efficient identification of the majority of components in herbal medicines.
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Affiliation(s)
- Mengyuan Wang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
- School of Pharmaceutical Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
| | - Changliang Yao
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
| | - Jiayuan Li
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
| | - Xuemei Wei
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
- School of Pharmaceutical Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
| | - Meng Xu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
| | - Yong Huang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
| | - Quanxi Mei
- Shenzhen Baoan Authentic TCM Therapy Hospital, Shenzhen 518101, China;
| | - De-an Guo
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China; (M.W.); (C.Y.); (J.L.); (X.W.); (M.X.); (Y.H.)
- School of Pharmaceutical Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
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Wu X, Hou J, Zhang Z, Chen L, Ni H, Qian Y, Wu W, Long H, Zhang L, Li F, Lei M, Huang Y, Guo D, Wu W. In-depth exploration and comparison of chemical constituents from two Lilium species through offline two-dimensional liquid chromatography combined with multimode acquisition of high-resolution mass spectrometry. J Chromatogr A 2022; 1670:462980. [DOI: 10.1016/j.chroma.2022.462980] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 12/31/2022]
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An in-house database-driven untargeted identification strategy for deep profiling of chemicalome in Chinese medicinal formula. J Chromatogr A 2022; 1666:462862. [DOI: 10.1016/j.chroma.2022.462862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/17/2022] [Accepted: 01/27/2022] [Indexed: 11/18/2022]
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Claesen J, Valkenborg D, Burzykowski T. Predicting the number of sulfur atoms in peptides and small proteins based on the observed aggregated isotope distribution. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2021; 35:e9162. [PMID: 34240492 PMCID: PMC8459233 DOI: 10.1002/rcm.9162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 07/06/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
RATIONALE Identification of peptides and proteins is a challenging task in mass spectrometry-based proteomics. Knowledge of the number of sulfur atoms can improve the identification of peptides and proteins. METHODS In this article, we propose a method for the prediction of S-atoms based on the aggregated isotope distribution. The Mahalanobis distance is used as dissimilarity measure to compare mass- and intensity-based features from the observed and theoretical isotope distributions. RESULTS The relative abundance of the second and the third aggregated isotopic variants (as compared to the monoisotopic one) and the mass difference between the second and third aggregated isotopic variants are the most important features to predict the number of S-atoms. CONCLUSIONS The mass and intensity accuracies of the observed aggregated isotopic variants are insufficient to accurately predict the number of atoms. However, using a limited set of predictions for a peptide, rather than predicting a single number of S-atoms, has a reasonably high prediction accuracy.
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Affiliation(s)
- Jürgen Claesen
- Department of Epidemiology and Data Science, Amsterdam UMCVU University AmsterdamAmsterdamThe Netherlands
- Microbiology UnitSCK‐CENMolBelgium
- I‐Biostat, Data Science InstituteHasselt UniversityHasseltBelgium
| | - Dirk Valkenborg
- I‐Biostat, Data Science InstituteHasselt UniversityHasseltBelgium
| | - Tomasz Burzykowski
- I‐Biostat, Data Science InstituteHasselt UniversityHasseltBelgium
- Department of Statistics and Medical InformaticsMedical University of BialystokBialystokPoland
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Wang L, Fan J, Qin X, Li Z. Rapid discrimination of raw and sulfur-fumigated Farfarae Flos based on UHPLC-Q-Orbitrap HRMS. Eur Food Res Technol 2021. [DOI: 10.1007/s00217-021-03760-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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8
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Yu Y, Yao C, Guo DA. Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry. Acta Pharm Sin B 2021; 11:1469-1492. [PMID: 34221863 PMCID: PMC8245813 DOI: 10.1016/j.apsb.2021.02.017] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/02/2021] [Accepted: 02/22/2021] [Indexed: 12/21/2022] Open
Abstract
Traditional Chinese medicine (TCM) has been an indispensable source of drugs for curing various human diseases. However, the inherent chemical diversity and complexity of TCM restricted the safety and efficacy of its usage. Over the past few decades, the combination of liquid chromatography with mass spectrometry has contributed greatly to the TCM qualitative analysis. And novel approaches have been continuously introduced to improve the analytical performance, including both the data acquisition methods to generate a large and informative dataset, and the data post-processing tools to extract the structure-related MS information. Furthermore, the fast-developing computer techniques and big data analytics have markedly enriched the data processing tools, bringing benefits of high efficiency and accuracy. To provide an up-to-date review of the latest techniques on the TCM qualitative analysis, multiple data-independent acquisition methods and data-dependent acquisition methods (precursor ion list, dynamic exclusion, mass tag, precursor ion scan, neutral loss scan, and multiple reaction monitoring) and post-processing techniques (mass defect filtering, diagnostic ion filtering, neutral loss filtering, mass spectral trees similarity filter, molecular networking, statistical analysis, database matching, etc.) were summarized and categorized. Applications of each technique and integrated analytical strategies were highlighted, discussion and future perspectives were proposed as well.
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Key Words
- BS, background subtraction
- CCS, collision cross section
- CE, collision energy
- CID, collision-induced dissociation
- DDA, data-dependent acquisition
- DE, dynamic exclusion
- DIA, data-independent acquisition
- DIF, diagnostic ion filtering
- DM, database matching
- Data acquisition
- Data post-processing
- EL, exclusion list
- EMS, enhanced mass spectrum
- EPI, enhanced product ion
- FS, full scan
- HCD, high-energy C-trap dissociation
- IDA, information dependent acquisition
- IM, ion mobility
- IPF, isotope pattern filtering
- ISCID, in-source collision-induced dissociation
- LC, liquid chromatography
- LTQ-Orbitrap, linear ion-trap/orbitrap
- Liquid chromatography−mass spectrometry
- MDF, mass defect filtering
- MIM, multiple ion monitoring
- MN, molecular networking
- MRM, multiple reaction monitoring
- MS, mass spectrometry
- MTSF, mass spectral trees similarity filter
- NL, neutral loss
- NLF, neutral loss filtering
- NLS, neutral loss scan
- NRF, nitrogen rule filtering
- PCA, principal component analysis
- PIL, precursor ion list
- PIS, precursor ion scan
- PLS-DA, partial least square-discriminant analysis
- Q-TRAP, hybrid triple quadrupole-linear ion trap
- QSRR, quantitative structure retention relationship
- QqQ, triple quadrupole
- Qualitative analysis
- RT, retention time
- SA, statistical analysis
- TCM, traditional Chinese medicine
- Traditional Chinese medicine
- UHPLC, ultra-high performance liquid chromatography
- cMRM, conventional multiple reaction monitoring
- sMRM, scheduled multiple reaction monitoring
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Affiliation(s)
- Yang Yu
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Changliang Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - De-an Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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9
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An YL, Wei WL, Li HJ, Li ZW, Yao CL, Qu H, Yao S, Huang Y, Zhang JQ, Bi QR, Li JY, Guo DA. An enhanced strategy integrating offline superimposed two-dimensional separation with mass defect filter and diagnostic ion filter: Comprehensive characterization of steroid alkaloids in Fritillariae Pallidiflorae Bulbus as a case study. J Chromatogr A 2021; 1643:462029. [PMID: 33752090 DOI: 10.1016/j.chroma.2021.462029] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 10/22/2022]
Abstract
The inherent complexity of traditional Chinese medicines necessitates the application of multi-dimensional information to accomplish comprehensive profiling and confirmative identification of their chemical components. In this study, we display an enhanced strategy by integrating offline superimposed two-dimensional separation (S-2D-LC) with mass defect filter and diagnostic ion filter to comprehensively characterize the alkaloid composition of Fritillariae Pallidiflorae Bulbus (FPB). The superimposed HILIC × RP and UPCC × RP offline two-dimensional liquid chromatography system was constructed with superior orthogonality (R2=0.004 and R2=0.001) for chromatographic separation. In total, 70 fractions were collected after the first-dimensional chromatographic separation (HILIC and UPCC) and then analyzed by the second-dimensional reversed phase (RP) liquid chromatography coupled with Q-TOF/MS/MS in FAST DDA acquisition mode. A four-step interpretation strategy combining mass defect filter with diagnostic ion filter was developed to rapidly characterize alkaloids in Fritillaria species. Ultimately, a sum of 529 Fritillaria alkaloids were characterized from two botanical origins of FPB. The integrated strategy is practical to efficiently expose and comprehensively characterize more trace and isomeric components in complex herbal medicines.
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Affiliation(s)
- Ya-Ling An
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, China
| | - Wen-Long Wei
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Hao-Jv Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, China
| | - Zhen-Wei Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, China
| | - Chang-Liang Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Hua Qu
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Shuai Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Yong Huang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Jian-Qing Zhang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Qi-Rui Bi
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - Jia-Yuan Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China
| | - De-An Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Haike Road 501, Shanghai, 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, China.
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10
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Xu L, Zhang Y, Zhang Q, Wang X, Chu X, Li X, Sui W, Han F. A simplified strategy for molecular formula determination of chemical constituents in traditional Chinese medicines based on accurate mass, A + 1 and A + 2 isotopic peaks using Fourier transform ion cyclotron resonance mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34:e8933. [PMID: 32851724 DOI: 10.1002/rcm.8933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/23/2020] [Accepted: 08/24/2020] [Indexed: 06/11/2023]
Abstract
RATIONALE Recently, isotopic fine structures derived from Fourier transform ion cyclotron resonance mass spectrometry have been used to determine the molecular formula for unknown compounds in many complex systems. However, a simplified strategy for molecular formula determination of chemical constituents in traditional Chinese medicines (TCMs) based on accurate mass, A + 1 and A + 2 isotopic peaks is necessary. METHODS Salviae miltiorrhizae was selected as a representative species. First, the chemical constituents were chromatographically separated and their accurate masses were obtained. The A + 1 and A + 2 isotopic peaks of all chemical constituents were then also acquired. Finally, the chemical formulae of the chemical constituents were determined. RESULTS In the sample of Salviae miltiorrhizae, the formulae of 38 CHO-containing chemical constituents were quickly determined, and all chemical constituents were identified using their tandem mass spectrometric data. Moreover, the method was validated by comparison of the A + 1 and A + 2 isotopic peaks, their fragmentation patterns and the retention times of six selected standard substances. CONCLUSIONS The results demonstrate that the described strategy performs well for molecular formula determination of chemical constituents in TCMs. This also indicates that this method will be meaningful for the structural identification of chemical constituents of TCMs.
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Affiliation(s)
- Lu Xu
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
| | - Yu Zhang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
| | - Qingyu Zhang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
| | - Xue Wang
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
| | - Xiaowen Chu
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
| | - Xintong Li
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
| | - Wenwen Sui
- Shenyang Harmony Health Medical Laboratory, 15 Buildings, 19 Wenhui Street, Jin Penglong Hightech Industry Park, Shenyang, 110016, China
| | - Fei Han
- School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, 110016, China
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11
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Schum SK, Brown LE, Mazzoleni LR. MFAssignR: Molecular formula assignment software for ultrahigh resolution mass spectrometry analysis of environmental complex mixtures. ENVIRONMENTAL RESEARCH 2020; 191:110114. [PMID: 32866496 DOI: 10.1016/j.envres.2020.110114] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/28/2020] [Accepted: 08/12/2020] [Indexed: 06/11/2023]
Abstract
Ultrahigh resolution mass spectrometry is widely used for nontargeted analysis of complex environmental and biological mixtures, such as dissolved organic matter, due to its unparalleled ability to provide accurate mass measurements. Accurate and efficient characterization of these mixtures is critical to being better able to evaluate their effect on human health and climate. This characterization requires accurate mass signals free from isobaric interferences, instrument noise, and mass measurement biases, allowing for molecular formula identification. To address this need, an open source post-processing pipeline for ultrahigh resolution mass spectra of environmental complex mixtures software was developed. MFAssignR contains functions that perform noise estimation, 13C and 34S polyisotopic mass filtering, mass measurement recalibration, and molecular formula assignment as part of a consistent data processing environment. Novel applications of mass defect analysis were used in the functions for noise estimation and isotope pair identification. Using formula extensions, exact mass measurements are converted to unambiguous molecular formulas via data dependent pathways, reducing a priori decisions. Optional molecular formula ambiguity and multiple non-oxygen heteroatoms are provided for custom user applications, including isotopically labeled reactive species, halogen-containing species, or tandem ultrahigh resolution mass spectrometry. This represents uncommon flexibility for an open-source software package. To evaluate the performance of MFAssignR, it was used to characterize a sample of biomass burning influenced organic aerosol and the results were compared to those from other available methods of molecular formula assignment and noise estimation. The differences between the methods are described here. Overall, the inclusion of a full pipeline of data preparation functions and the data-dependent ambiguity reductions in MFAssignR render excellent results and make MFAssignR well-suited for the consistent and efficient analysis of environmental complex mixtures. MFAssignR is publicly available via GitHub.
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Affiliation(s)
- Simeon K Schum
- Department of Chemistry, Michigan Technological University, 1400, Townsend Dr., Houghton, MI, USA; Chemical Advanced Resolution Methods Laboratory, Michigan Technological University, 1400, Townsend Dr., Houghton, MI, USA.
| | - Laura E Brown
- Department of Computer Science, Michigan Technological University, 1400, Townsend Dr., Houghton, MI, USA
| | - Lynn R Mazzoleni
- Department of Chemistry, Michigan Technological University, 1400, Townsend Dr., Houghton, MI, USA; Chemical Advanced Resolution Methods Laboratory, Michigan Technological University, 1400, Townsend Dr., Houghton, MI, USA.
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12
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Yue Y, Wang J, Zhao Y, Li S, Han J, Zhang Y, Zhang Q, Han F. Impurity profiling of Cefteram pivoxil based on Fourier transform ion cyclotron resonance MS. J Pharm Biomed Anal 2020; 191:113591. [DOI: 10.1016/j.jpba.2020.113591] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/01/2020] [Accepted: 08/23/2020] [Indexed: 12/21/2022]
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13
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Kang C, Lv C, Yang J, Kang L, Ma W, Zhang W, Wang S, Wang T, Sun J, Ge Y, Huang LQ, Guo L. A Practical Protocol for a Comprehensive Evaluation of Sulfur Fumigation of Trichosanthis Radix Based on Both Non-Targeted and Widely Targeted Metabolomics. FRONTIERS IN PLANT SCIENCE 2020; 11:578086. [PMID: 33042192 PMCID: PMC7527402 DOI: 10.3389/fpls.2020.578086] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/02/2020] [Indexed: 05/15/2023]
Abstract
Trichosanthis Radix (TR) is one of the most severely sulfur-fumigated herbs in the market, whose transformation mechanism of chemical compositions and sulfur-fumigation markers of TR have not been clarified. To excavate characteristic sulfur-fumigation markers of TR samples, this study brings up a practical protocol using both ultra-performance liquid chromatography/quadrupole time-of-flight-mass spectrum (UPLC-ESI-QTOF-MS/MS)-based non-targeted metabolomics and ultra-performance liquid chromatography/electrospray ionization/quadrupole multiple-stage linear ion-trap mass spectrum (UPLC-ESI-QTRAP-MS/MS)-based widely targeted metabolomics. The results of study demonstrated that five characteristic markers are sulfur-containing components, which were identified as p-Hydroxybenzyl hydrogen sulfite, cucurbitacin D sulfite I, cucurbitacin D sulfite II, cucurbitacin B sulfite I, and cucurbitacin B sulfite II, respectively. Additionally, cucurbitacin B and D were also filtered and identified as the characteristic sulfur-fumigation markers. Meanwhile, the different sulfur-fumigation extent of TR samples was tested by chemical transformations analysis and sulfur dioxide residues test. Further, 58.16% (139 of 239) of the differential metabolites content significantly reduced in sulfur-fumigated TR samples. Besides, 20 kinds of non-sulfur marker metabolites were tested to evaluate the quality of TR samples before and after sulfur fumigation, predominantly including phenolic acids, amino acids, lipids and nucleotides. Taking TR as an example, this work provides a comprehensive practical protocol for the quality supervision of sulfur-fumigation herbs.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Lu-Qi Huang
- National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, State Key Laboratory Breeding Base of Dao-di Herbs, Beijing, China
| | - Lanping Guo
- National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, State Key Laboratory Breeding Base of Dao-di Herbs, Beijing, China
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14
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Matsuo H, Hanamure Y, Miyano R, Takahashi Y, Ōmura S, Nakashima T. Screening for Sulfur Compounds by Molybdenum-Catalyzed Oxidation Combined with Liquid Chromatography-Mass Spectrometry. Molecules 2020; 25:molecules25020240. [PMID: 31936021 PMCID: PMC7024256 DOI: 10.3390/molecules25020240] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/25/2019] [Accepted: 12/27/2019] [Indexed: 01/28/2023] Open
Abstract
The molybdenum (Mo)-catalyzed oxidation of sulfide under neutral conditions yields sulfone. This reaction proceeds more smoothly than olefin epoxidation and primary or secondary alcohol oxidation. In this study, Mo-catalyzed oxidation was used to screen for sulfur compounds (named “MoS-screening”) in microbial broths by liquid chromatography-mass spectrometry (LC/MS). To demonstrate proof-of-concept, known sulfur microbial compounds were successfully identified from a mixture of non-sulfur microbial compounds as sulfinyl or sulfonyl products of Mo-catalyzed oxidation. Then our MoS-screening method was used to screen 300 samples of microbial broth for sulfur compounds. One of the identified compounds was a kitasetaline-containing N-acetyl cysteine moiety produced by an actinomycete strain. These results demonstrate the potential of MoS-screening in the search for new sulfur compounds from microbial sources.
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Affiliation(s)
- Hirotaka Matsuo
- Kitasato Institute for Life Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; (Y.H.); (Y.T.); (S.Ō.)
- Graduate School of Infection Control Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan;
- Correspondence: (H.M.); (T.N.); Tel./Fax: +81-3-5791-6450 (H.M. & T.N.)
| | - Yu Hanamure
- Kitasato Institute for Life Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; (Y.H.); (Y.T.); (S.Ō.)
| | - Rei Miyano
- Graduate School of Infection Control Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan;
| | - Yōko Takahashi
- Kitasato Institute for Life Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; (Y.H.); (Y.T.); (S.Ō.)
| | - Satoshi Ōmura
- Kitasato Institute for Life Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; (Y.H.); (Y.T.); (S.Ō.)
| | - Takuji Nakashima
- Kitasato Institute for Life Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; (Y.H.); (Y.T.); (S.Ō.)
- Graduate School of Infection Control Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan;
- Correspondence: (H.M.); (T.N.); Tel./Fax: +81-3-5791-6450 (H.M. & T.N.)
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15
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A high-efficiency strategy integrating offline two-dimensional separation and data post-processing with dereplication: Characterization of bufadienolides in Venenum Bufonis as a case study. J Chromatogr A 2019; 1603:179-189. [DOI: 10.1016/j.chroma.2019.06.037] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/12/2019] [Accepted: 06/13/2019] [Indexed: 01/09/2023]
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16
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Shengyun D, Yuqi W, Fei W, Xiaodan M, Jiayu Z. A proposed protocol based on integrative metabonomics analysis for the rapid detection and mechanistic understanding of sulfur fumigation of Chinese herbal medicines. RSC Adv 2019; 9:31150-31161. [PMID: 35529375 PMCID: PMC9072333 DOI: 10.1039/c9ra05032a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 09/12/2019] [Indexed: 01/24/2023] Open
Abstract
In the current work, Lonicera japonica Flos (FLJ) was selected as a model Chinese herbal medicine (CHM) and a protocol was proposed for the rapid detection of sulfur-fumigated (SF) CHMs. A multiple metabonomics analysis was conducted using HPLC, NIR spectroscopy and a UHPLC-LTQ-Orbitrap mass spectrometer. First, the group discriminatory potential of each technique was respectively investigated based on PCA. Then, the effect of mid-level metabonomics data fusion on sample spatial distribution was evaluated based on data obtained using the above three technologies. Furthermore, based on the acquired HRMS data, 76 markers discriminating SF from non-sulfur-fumigated (NSF) CHMs were observed and 49 of them were eventually characterized. Moreover, NIR absorptions of 18 sulfur-containing markers were identified to be in close correlation with the discriminatory NIR wavebands. In conclusion, the proposed protocol based on integrative metabonomics analysis that we established for the rapid detection and mechanistic explanation of the sulfur fumigation of CHMs was able to achieve variable selection, enhance group separation and reveal the intrinsic mechanism of the sulfur fumigation of CHMs.
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Affiliation(s)
- Dai Shengyun
- School of Chinese Pharmacy, Beijing University of Chinese Medicine Beijing 102488 China
- National Institute of Food and Drug Control Beijing 100050 China
| | - Wang Yuqi
- School of Chinese Pharmacy, Beijing University of Chinese Medicine Beijing 102488 China
| | - Wang Fei
- School of Chinese Pharmacy, Beijing University of Chinese Medicine Beijing 102488 China
- Department of Pharmacy, People Hospital of Peking University Beijing 100044 China
| | - Mei Xiaodan
- School of Chinese Pharmacy, Beijing University of Chinese Medicine Beijing 102488 China
| | - Zhang Jiayu
- Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine Beijing 100029 China
- School of Pharmacy, Binzhou Medical University Yantai 264003 China
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17
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Zeng LR, Shi LH, Meng XG, Xu J, Jia GF, Gui T, Zhang YP, Hu DY. Evaluation of photolysis and hydrolysis of pyraclostrobin in aqueous solutions and its degradation products in paddy water. JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH. PART. B, PESTICIDES, FOOD CONTAMINANTS, AND AGRICULTURAL WASTES 2019; 54:317-325. [PMID: 30729870 DOI: 10.1080/03601234.2019.1571360] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
This study evaluated the hydrolysis and photolysis kinetics of pyraclostrobin in an aqueous solution using ultra-high-performance liquid chromatography-photodiode array detection and identified the resulting metabolites of pyraclostrobin by hydrolysis and photolysis in paddy water using high-resolution mass spectrometry coupled with liquid chromatography. The effect of solution pH, metal ions and surfactants on the hydrolysis of pyraclostrobin was explored. The hydrolysis half-lives of pyraclostrobin were 23.1-115.5 days and were stable in buffer solution at pH 5.0. The degradation rate of pyraclostrobin in an aqueous solution under sunlight was slower than that under UV photolysis reaction. The half-lives of pyraclostrobin in a buffer solution at pH 5.0, 7.0, 9.0 and in paddy water were less than 12 h under the two light irradiation types. The metabolites of the two processes were identified and compared to further understand the mechanisms underlying hydrolysis and photolysis of pyraclostrobin in natural water. The extracted ions obtained from paddy water were automatically annotated by Compound Discoverer software with manual confirmation of their fragments. Two metabolites were detected and identified in the pyraclostrobin hydrolysis, whereas three metabolites were detected and identified in the photolysis in paddy water.
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Affiliation(s)
- Ling R Zeng
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - Li H Shi
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - Xin G Meng
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - J Xu
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - Gui F Jia
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - T Gui
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - Yu P Zhang
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
| | - De Y Hu
- a State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education , Guizhou University , Guiyang , P.R. China
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18
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A strategy for the metabolomics-based screening of active constituents and quality consistency control for natural medicinal substance toad venom. Anal Chim Acta 2018; 1031:108-118. [DOI: 10.1016/j.aca.2018.05.054] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/18/2018] [Accepted: 05/20/2018] [Indexed: 01/20/2023]
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19
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Pan H, Yao C, Yang W, Yao S, Huang Y, Zhang Y, Wu W, Guo D. An enhanced strategy integrating offline two-dimensional separation and step-wise precursor ion list-based raster-mass defect filter: Characterization of indole alkaloids in five botanical origins of Uncariae Ramulus Cum Unicis as an exemplary application. J Chromatogr A 2018; 1563:124-134. [PMID: 29880214 DOI: 10.1016/j.chroma.2018.05.066] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 04/20/2018] [Accepted: 05/28/2018] [Indexed: 01/01/2023]
Abstract
Comprehensive chemical profiling is of great significance for understanding the therapeutic material basis and quality control of herbal medicines, which is challenging due to its inherent chemical diversity and complexity, as well as wide concentration range. In this study, we introduced an enhanced strategy integrating offline two-dimensional (2D) separation and the step-wise precursor ion list-based raster-mass defect filter (step-wise PIL-based raster-MDF) scan by tandem LTQ-Orbitrap mass spectrometer. A comprehensive analysis of indole alkaloids in five botanical origins of Uncariae Ramulus Cum Unicis (Gou-Teng) was used as an exemplary application. A positively charged reversed phase (PR) × conventional RP LC system in different pH conditions was constructed with the orthogonality of 74%. A theoretical step-wise PIL among 310-950 Da with the step-size of 2 Da was developed to selectively trigger fragmentations and extend the coverage of potential indole alkaloids. Simultaneously, by defining parent mass width (PMW) of the step-wise PIL to ±55 mDa, a raster-MDF screening was achieved in the acquisition process. Additionally, subtype classification and structural elucidation were facilitated by a four-step interpretation strategy. As a result, a total of 1227 indole alkaloids were efficiently exposed and characterized from five botanical origins of Gou-Teng, which showed high chemical diversity. A systematic comparison among five species was first performed and only 66 indole alkaloids were common. For method validation, three new alkaloid N-oxides were isolated and unambiguously identified by NMR. The present study provides a novel data-dependent acquisition method with improved target coverage and high selectivity. The integrated strategy is practical to efficiently expose and comprehensively characterize complex components in herbal medicines.
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Affiliation(s)
- Huiqin Pan
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China; University of Chinese Academy of Sciences,No.19A Yuquan Road, Beijing, 100049, People's Republic of China
| | - Changliang Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China; University of Chinese Academy of Sciences,No.19A Yuquan Road, Beijing, 100049, People's Republic of China
| | - Wenzhi Yang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China
| | - Shuai Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China
| | - Yong Huang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China
| | - Yibei Zhang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China
| | - Wanying Wu
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China.
| | - Dean Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences,Haike Road 501, Shanghai, 201203, People's Republic of China.
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20
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Rapid Screening and Identification of Daidzein Metabolites in Rats Based on UHPLC-LTQ-Orbitrap Mass Spectrometry Coupled with Data-Mining Technologies. Molecules 2018; 23:molecules23010151. [PMID: 29329272 PMCID: PMC6017279 DOI: 10.3390/molecules23010151] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 01/03/2018] [Accepted: 01/05/2018] [Indexed: 01/31/2023] Open
Abstract
Daidzein, the main bioactive soy isoflavone in Nature, has been found to possess many biological functions. It has been investigated in particular as a phytoestrogen owing to the similarity of its structure with that of the human hormone estrogen. Due to the lack of comprehensive studies on daidzein metabolism, further research is still required to clarify its in vivo metabolic fate and intermediate processes. In this study, an efficient strategy was established using UHPLC-LTQ-Orbitrap mass spectrometry to profile the metabolism of daidzein in rats. Meanwhile, multiple data-mining methods including high-resolution extracted ion chromatogram (HREIC), multiple mass defect filtering (MMDF), neutral loss fragment (NLF), and diagnostic product ion (DPI) were utilized to investigate daidzein metabolites from the HR-ESI-MS1 to ESI-MSn stage in both positive and negative ion modes. Consequently, 59 metabolites, including prototype compounds, were positively or tentatively elucidated based on reference standards, accurate mass measurements, mass fragmentation behaviors, chromatographic retention times, and corresponding calculated ClogP values. As a result, dehydration, hydrogenation, methylation, dimethylation, glucuronidation, glucosylation, sulfonation, ring-cleavage, and their composite reactions were ascertained to interpret its in vivo biotransformation. Overall, our results not only revealed the potential pharmacodynamics forms of daidzein, but also aid in establishing a practical strategy for rapid screening and identifying metabolites of natural compounds.
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21
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Wang PL, Sun Z, Lv XJ, Xu TY, Jia QQ, Liu X, Zhang XF, Zhu ZF, Zhang XJ. A homologues prediction strategy for comprehensive screening and characterization of C 21 steroids from Xiao-ai-ping injection by using ultra high performance liquid chromatography coupled with high resolution hybrid quadrupole-orbitrap mass spectrometry. J Pharm Biomed Anal 2018; 148:80-88. [DOI: 10.1016/j.jpba.2017.09.024] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 09/14/2017] [Accepted: 09/16/2017] [Indexed: 12/21/2022]
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22
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A multiple-dimension liquid chromatography coupled with mass spectrometry data strategy for the rapid discovery and identification of unknown compounds from a Chinese herbal formula (Er-xian decoction). J Chromatogr A 2017; 1518:59-69. [DOI: 10.1016/j.chroma.2017.08.072] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 08/17/2017] [Accepted: 08/24/2017] [Indexed: 12/22/2022]
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23
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Andjelković U, Šrajer Gajdošik M, Gašo-Sokač D, Martinović T, Josić D. Foodomics and Food Safety: Where We Are. Food Technol Biotechnol 2017; 55:290-307. [PMID: 29089845 PMCID: PMC5654429 DOI: 10.17113/ftb.55.03.17.5044] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 05/31/2017] [Indexed: 12/21/2022] Open
Abstract
The power of foodomics as a discipline that is now broadly used for quality assurance of food products and adulteration identification, as well as for determining the safety of food, is presented. Concerning sample preparation and application, maintenance of highly sophisticated instruments for both high-performance and high-throughput techniques, and analysis and data interpretation, special attention has to be paid to the development of skilled analysts. The obtained data shall be integrated under a strong bioinformatics environment. Modern mass spectrometry is an extremely powerful analytical tool since it can provide direct qualitative and quantitative information about a molecule of interest from only a minute amount of sample. Quality of this information is influenced by the sample preparation procedure, the type of mass spectrometer used and the analyst's skills. Technical advances are bringing new instruments of increased sensitivity, resolution and speed to the market. Other methods presented here give additional information and can be used as complementary tools to mass spectrometry or for validation of obtained results. Genomics and transcriptomics, as well as affinity-based methods, still have a broad use in food analysis. Serious drawbacks of some of them, especially the affinity-based methods, are the cross-reactivity between similar molecules and the influence of complex food matrices. However, these techniques can be used for pre-screening in order to reduce the large number of samples. Great progress has been made in the application of bioinformatics in foodomics. These developments enabled processing of large amounts of generated data for both identification and quantification, and for corresponding modeling.
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Affiliation(s)
- Uroš Andjelković
- Department of Biotechnology, University of Rijeka, Radmile Matejčić 2, HR-51000 Rijeka, Croatia
- Department of Chemistry, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Njegoševa 12, RS-11000 Belgrade, Serbia
| | - Martina Šrajer Gajdošik
- Department of Chemistry, J. J. Strossmayer University of Osijek, Cara Hadrijana 8/A, HR-31000 Osijek, Croatia
| | - Dajana Gašo-Sokač
- Faculty of Food Technology, J. J. Strossmayer University of Osijek, Franje Kuhača 20, HR-31000 Osijek, Croatia
| | - Tamara Martinović
- Department of Biotechnology, University of Rijeka, Radmile Matejčić 2, HR-51000 Rijeka, Croatia
| | - Djuro Josić
- Department of Biotechnology, University of Rijeka, Radmile Matejčić 2, HR-51000 Rijeka, Croatia
- Warren Alpert Medical School, Brown University, 222 Richmond St, Providence, RI 02903, USA
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Novelty application of multi-omics correlation in the discrimination of sulfur-fumigation and non-sulfur-fumigation Ophiopogonis Radix. Sci Rep 2017; 7:9971. [PMID: 28855686 PMCID: PMC5577285 DOI: 10.1038/s41598-017-10313-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 07/28/2017] [Indexed: 12/16/2022] Open
Abstract
A rapid and sensitive approach to differentiate sulfur-fumigated (SF) Ophiopogonis Radix based on Multi-Omics Correlation Analysis (MOCA) strategy was first established. It was characterized by multiple data-acquisition methods (NIR, HPLC, and UHPLC-HRMS) based metabonomics and multivariate statistical analysis methods. As a result, SF and non-sulfur fumigated (NSF) Ophiopogonis Radix samples were efficaciously discriminated. Moreover, based on the acquired HRMS data, 38 sulfur-containing discriminatory markers were eventually characterized, whose NIR absorption could be in close correlation with the discriminatory NIR wavebands (5000–5200 cm−1) screened by NIR metabonomics coupled with SiPLS and 2D-COS methods. This results were also validated from multiple perspectives, including metabonomics analysis based on the discriminatory markers and the simulation of SF ophiopogonin D and Ophiopogonis Radix sample. In conclusion, our results first revealed the intrinsic mechanism of discriminatory NIR wavebands by means of UHPLC-HRMS analysis. Meanwhile, the established MOCA strategy also provided a promising NIR based differential method for SF Ophiopogonis Radix, which could be exemplary for future researches on rapid discrimination of other SF Chinese herbal medicines.
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25
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Development of a novel sectional multiple filtering scheme for rapid screening and classifying metabolites of ziyuglycoside II in rat liver and excreta specimen based on high-resolution mass spectrometry. J Pharm Biomed Anal 2016; 129:310-319. [PMID: 27454082 DOI: 10.1016/j.jpba.2016.06.053] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 06/30/2016] [Accepted: 06/30/2016] [Indexed: 01/04/2023]
Abstract
Ziyuglycoside II, one of the major effective ingredients of Sanguisorba officinalis L., had various pharmacological activities including anticancer, anti-inflammation and anti-oxidation, etc. Better understanding of the pharmacology and toxicology of ziyuglycoside II requires the detailed elucidation of its biologic fates in vivo. Herein, the metabolic fate of ziyuglycoside II in rats was investigated based on liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-Q-TOF/MS). To accelerate and simplify the process of metabolite identification from complicated biological matrix, the sectional multiple filtering (SMF) scheme was designed according to the relationship among the molecular weight (MW), mass defect (MD) and retention time (tR) of the metabolites. SMF-I (MW: 700-850Da, MD: 0.40-0.45Da, tR: 4.0-10.0min), SMF-II (MW: 550-700Da, MD: 0.30-0.40Da, tR: 6.0-14.0min) and SMF-III (MW: 400-550Da, MD at 0.25-0.35Da, tR at 9.5-16.0min) were built and utilized to screen phase II conjugations and phase I redox metabolites and deglycosylated derivatives, respectively. As a result, dozens of metabolites, including glucuronic conjugates, hydroxylation, oxidization, dehydration and deglycosylation products, were rapidly discovered, classified and structural identified in rat urine and feces based on SMF scheme and accurate MS(1)/MS(2) information. Obviously, the SMF technique showed superior efficiency and selectivity in ziyuglycoside II metabolite identification. More importantly, SMF would find its extensive application in, but not limited to, the metabolic study for single drug or homologous compounds in traditional Chinese medicine.
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26
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Molecular characterization of phytoplankton dissolved organic matter (DOM) and sulfur components using high resolution Orbitrap mass spectrometry. Anal Bioanal Chem 2016; 408:1891-900. [DOI: 10.1007/s00216-015-9295-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Revised: 12/15/2015] [Accepted: 12/22/2015] [Indexed: 11/27/2022]
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27
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Yao C, Yang W, Si W, Pan H, Qiu S, Wu J, Shi X, Feng R, Wu W, Guo D. A strategy for establishment of practical identification methods for Chinese patent medicine from systematic multi-component characterization to selective ion monitoring of chemical markers: Shuxiong tablet as a case study. RSC Adv 2016. [DOI: 10.1039/c6ra10883k] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
A SMC-SIM strategy for establishment of practical identification methods for Chinese patent medicine.
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