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Chai MH, Zhang X, Zhao L, Hao WJ, Huang YP, Liu ZS. Combination of deep eutectic solvent and organic–inorganic hybrid monomer to prepare monolith for improvement of hydrophilic protein extraction. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Zhang P, Georgiou CA, Brusic V. Elemental metabolomics. Brief Bioinform 2019; 19:524-536. [PMID: 28077402 DOI: 10.1093/bib/bbw131] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 11/24/2016] [Indexed: 12/14/2022] Open
Abstract
Elemental metabolomics is quantification and characterization of total concentration of chemical elements in biological samples and monitoring of their changes. Recent advances in inductively coupled plasma mass spectrometry have enabled simultaneous measurement of concentrations of > 70 elements in biological samples. In living organisms, elements interact and compete with each other for absorption and molecular interactions. They also interact with proteins and nucleotide sequences. These interactions modulate enzymatic activities and are critical for many molecular and cellular functions. Testing for concentration of > 40 elements in blood, other bodily fluids and tissues is now in routine use in advanced medical laboratories. In this article, we define the basic concepts of elemental metabolomics, summarize standards and workflows, and propose minimum information for reporting the results of an elemental metabolomics experiment. Major statistical and informatics tools for elemental metabolomics are reviewed, and examples of applications are discussed. Elemental metabolomics is emerging as an important new technology with applications in medical diagnostics, nutrition, agriculture, food science, environmental science and multiplicity of other areas.
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Affiliation(s)
- Ping Zhang
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD Australia
| | - Constantinos A Georgiou
- Chemistry Laboratory, Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
| | - Vladimir Brusic
- Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD Australia.,School of Medicine and Bioinformatics Center, Nazarbayev University, Astana, Kazakhstan
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Liu R, Wang C, Xu Y, Hu J, Deng D, Lv Y. Label-Free DNA Assay by Metal Stable Isotope Detection. Anal Chem 2017; 89:13269-13274. [DOI: 10.1021/acs.analchem.7b03327] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Rui Liu
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, P. R. China
| | - Chaoqun Wang
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, P. R. China
| | - Yuming Xu
- College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, P. R. China
| | - Jianyu Hu
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, P. R. China
| | - Dongyan Deng
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, P. R. China
| | - Yi Lv
- Key Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, P. R. China
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Nicolás P, Lassalle VL, Ferreira ML. Quantification of immobilized Candida antarctica lipase B (CALB) using ICP-AES combined with Bradford method. Enzyme Microb Technol 2017; 97:97-103. [DOI: 10.1016/j.enzmictec.2016.11.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 11/17/2016] [Accepted: 11/22/2016] [Indexed: 12/16/2022]
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Bulska E, Wagner B. Quantitative aspects of inductively coupled plasma mass spectrometry. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2016; 374:rsta.2015.0369. [PMID: 27644971 PMCID: PMC5031635 DOI: 10.1098/rsta.2015.0369] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/01/2016] [Indexed: 05/04/2023]
Abstract
Accurate determination of elements in various kinds of samples is essential for many areas, including environmental science, medicine, as well as industry. Inductively coupled plasma mass spectrometry (ICP-MS) is a powerful tool enabling multi-elemental analysis of numerous matrices with high sensitivity and good precision. Various calibration approaches can be used to perform accurate quantitative measurements by ICP-MS. They include the use of pure standards, matrix-matched standards, or relevant certified reference materials, assuring traceability of the reported results. This review critically evaluates the advantages and limitations of different calibration approaches, which are used in quantitative analyses by ICP-MS. Examples of such analyses are provided.This article is part of the themed issue 'Quantitative mass spectrometry'.
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Affiliation(s)
- Ewa Bulska
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury str. 101, Warszawa 02-089, Poland
| | - Barbara Wagner
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury str. 101, Warszawa 02-089, Poland
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Adam M, Fleischer H, Thurow K. Generic and Automated Data Evaluation in Analytical Measurement. SLAS Technol 2016; 22:186-194. [PMID: 27738238 DOI: 10.1177/2211068216672613] [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] [Indexed: 01/24/2023]
Abstract
In the past year, automation has become more and more important in the field of elemental and structural chemical analysis to reduce the high degree of manual operation and processing time as well as human errors. Thus, a high number of data points are generated, which requires fast and automated data evaluation. To handle the preprocessed export data from different analytical devices with software from various vendors offering a standardized solution without any programming knowledge should be preferred. In modern laboratories, multiple users will use this software on multiple personal computers with different operating systems (e.g., Windows, Macintosh, Linux). Also, mobile devices such as smartphones and tablets have gained growing importance. The developed software, Project Analytical Data Evaluation (ADE), is implemented as a web application. To transmit the preevaluated data from the device software to the Project ADE, the exported XML report files are detected and the included data are imported into the entities database using the Data Upload software. Different calculation types of a sample within one measurement series (e.g., method validation) are identified using information tags inside the sample name. The results are presented in tables and diagrams on different information levels (general, detailed for one analyte or sample).
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Affiliation(s)
- Martin Adam
- 1 Institute of Automation, University of Rostock, Rostock, Germany
| | - Heidi Fleischer
- 1 Institute of Automation, University of Rostock, Rostock, Germany
| | - Kerstin Thurow
- 2 Celisca-Center for Life Science Automation, University of Rostock, Rostock, Germany
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Tata A, Zheng J, Ginsberg HJ, Jaffray DA, Ifa DR, Zarrine-Afsar A. Contrast Agent Mass Spectrometry Imaging Reveals Tumor Heterogeneity. Anal Chem 2015; 87:7683-9. [PMID: 26138213 DOI: 10.1021/acs.analchem.5b01992] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Mapping intratumoral heterogeneity such as vasculature and margins is important during intraoperative applications. Desorption electrospray ionization mass spectrometry (DESI-MS) has demonstrated potential for intraoperative tumor imaging using validated MS profiles. The clinical translation of DESI-MS into a universal label-free imaging technique thus requires access to MS profiles characteristic to tumors and healthy tissues. Here, we developed contrast agent mass spectrometry imaging (CA-MSI) that utilizes a magnetic resonance imaging (MRI) contrast agent targeted to disease sites, as a label, to reveal tumor heterogeneity in the absence of known MS profiles. Human breast cancer tumors grown in mice were subjected to CA-MSI using Gadoteridol revealing tumor margins and vasculature from the localization of [Gadoteridol+K](+) and [Gadoteridol+Na](+) adducts, respectively. The localization of the [Gadoteridol+K](+) adduct as revealed through DESI-MS complements the in vivo MRI results. DESI-MS imaging is therefore possible for tumors for which no characteristic MS profiles are established. Further DESI-MS imaging of the flux of the contrast agent through mouse kidneys was performed indicating secretion of the intact label.
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Affiliation(s)
- Alessandra Tata
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada.,‡Department of Chemistry, York University, 4700 Keele Street, Toronto, Ontario M3J-1P3, Canada
| | - Jinzi Zheng
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada
| | - Howard J Ginsberg
- §Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T-1P5, Canada.,⊥Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B-1W8, Canada
| | - David A Jaffray
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada.,∥Department of Medical Biophysics, University of Toronto, 101 College Street, Suite 15-701, Toronto, Ontario M5G 1L7, Canada
| | - Demian R Ifa
- ‡Department of Chemistry, York University, 4700 Keele Street, Toronto, Ontario M3J-1P3, Canada
| | - Arash Zarrine-Afsar
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada.,§Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T-1P5, Canada.,⊥Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B-1W8, Canada.,∥Department of Medical Biophysics, University of Toronto, 101 College Street, Suite 15-701, Toronto, Ontario M5G 1L7, Canada
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