1
|
Li Y, Wang H, Liu G, Shi B, Zhu B, Gao L, Zhong K, Zhang Y, Zhao L, Li R, Shan B, Wang C, Wang S. An assessment of the sensory drivers influencing consumer preference in infant formula, assessed via sensory evaluation and GC-O-MS. Food Chem 2024; 455:139881. [PMID: 38823136 DOI: 10.1016/j.foodchem.2024.139881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 06/03/2024]
Abstract
Consumer partiality for food products is related to purchase and consumption behavior, and are influenced by sensory preferences. The sensory and chemical drivers behind consumer preference in the infant formula (IF) were analyzed. A total of 31 aroma-active compounds were identified, playing an important role in the production of off-flavors (especially fishy). Combined with the correlation analysis, the key aroma substances affecting the sensory attributes of IF were initially identified. A21, A22, B9 represented the key substances responsible for producing milky and creamy, while A2, A5, A11, A12, B5, C15, H5 primarily produced fishy. In addition, the two sensory attributes namely milky and creamy, and the T-sweet were more strongly correlated with consumer preference. Therefore, it can be concluded that consumers are more interested in the main flavor of the product than the off-flavor. These findings will inform the quality control of IF and the maintenance of sensory quality.
Collapse
Affiliation(s)
- Yilin Li
- Key Laboratory of Food Sensory Analysis for State Market Regulation, 102200, China; Heilongjiang Feihe Dairy Industrial Co. Ltd., Qiqihar 161000, China
| | - Houyin Wang
- Key Laboratory of Food Sensory Analysis for State Market Regulation, 102200, China; China National Institute of Standardization, Beijing 102200, China
| | - Guirong Liu
- Heilongjiang Feihe Dairy Industrial Co. Ltd., Qiqihar 161000, China
| | - Bolin Shi
- Key Laboratory of Food Sensory Analysis for State Market Regulation, 102200, China; China National Institute of Standardization, Beijing 102200, China
| | - Baoqing Zhu
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100091, China
| | - Lipeng Gao
- Heilongjiang Feihe Dairy Industrial Co. Ltd., Qiqihar 161000, China
| | - Kui Zhong
- Key Laboratory of Food Sensory Analysis for State Market Regulation, 102200, China; China National Institute of Standardization, Beijing 102200, China
| | - Yongjiu Zhang
- Heilongjiang Feihe Dairy Industrial Co. Ltd., Qiqihar 161000, China
| | - Lei Zhao
- Key Laboratory of Food Sensory Analysis for State Market Regulation, 102200, China; China National Institute of Standardization, Beijing 102200, China
| | - Ruotong Li
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100091, China
| | - Bingqi Shan
- Heilongjiang Feihe Dairy Industrial Co. Ltd., Qiqihar 161000, China
| | - Chunguang Wang
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100091, China
| | - Sisi Wang
- Key Laboratory of Food Sensory Analysis for State Market Regulation, 102200, China; China National Institute of Standardization, Beijing 102200, China.
| |
Collapse
|
2
|
Petřík I, Hladík P, Zhang C, Pěnčík A, Novák O. Spatio-temporal plant hormonomics: from tissue to subcellular resolution. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:5295-5311. [PMID: 38938164 DOI: 10.1093/jxb/erae267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/26/2024] [Indexed: 06/29/2024]
Abstract
Due to technological advances in mass spectrometry, significant progress has been achieved recently in plant hormone research. Nowadays, plant hormonomics is well established as a fully integrated scientific field focused on the analysis of phytohormones, mainly on their isolation, identification, and spatiotemporal quantification in plants. This review represents a comprehensive meta-study of the advances in the phytohormone analysis by mass spectrometry over the past decade. To address current trends and future perspectives, Web of Science data were systematically collected and key features such as mass spectrometry-based analyses were evaluated using multivariate data analysis methods. Our findings showed that plant hormonomics is currently divided into targeted and untargeted approaches. Both aim to miniaturize the sample, allowing high-resolution quantification to be covered in plant organs as well as subcellular compartments. Therefore, we can study plant hormone biosynthesis, metabolism, and signalling at a spatio-temporal resolution. Moreover, this trend has recently been accelerated by technological advances such as fluorescence-activated cell sorting or mass spectrometry imaging.
Collapse
Affiliation(s)
- Ivan Petřík
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany, The Czech Academy of Sciences, Šlechtitelů 27, CZ-78371, Olomouc, Czech Republic
| | - Pavel Hladík
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany, The Czech Academy of Sciences, Šlechtitelů 27, CZ-78371, Olomouc, Czech Republic
| | - Chao Zhang
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany, The Czech Academy of Sciences, Šlechtitelů 27, CZ-78371, Olomouc, Czech Republic
| | - Aleš Pěnčík
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany, The Czech Academy of Sciences, Šlechtitelů 27, CZ-78371, Olomouc, Czech Republic
| | - Ondřej Novák
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany, The Czech Academy of Sciences, Šlechtitelů 27, CZ-78371, Olomouc, Czech Republic
| |
Collapse
|
3
|
Tang T, Gao Y, He Y, Liang X, Li J, Xu J, Li C, Luo L, Yao J, Bai H. Precise measurement of chiral spectrum in the ultraviolet band using weak measurement and a deep neural network model. OPTICS LETTERS 2024; 49:4302-4305. [PMID: 39090919 DOI: 10.1364/ol.527631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 06/28/2024] [Indexed: 08/04/2024]
Abstract
Circular dichroism (CD) spectrum and optical rotation (OR) spectrum, crucial for understanding molecular properties and configurations, present challenges due to limited testing methods and equipment accuracy in the ultraviolet (UV) region. This study proposes a weak measurement system for chiral signals in varying concentrations in the ultraviolet range, optimized using a deep neural network (DNN) model. Introducing different post-selections to detect the circular dichroism spectrum and optical rotation spectrum separately, with contrast as a probe, it achieves a detection resolution of up to 10-6 rad. Moreover, the fitted value of the training data can reach 0.9989, enhancing the prediction accuracy of chiral molecule concentrations. This method exhibits considerable promise for applications in chiral measurement and sensor technologies.
Collapse
|
4
|
Lai Y, Koelmel JP, Walker DI, Price EJ, Papazian S, Manz KE, Castilla-Fernández D, Bowden JA, Nikiforov V, David A, Bessonneau V, Amer B, Seethapathy S, Hu X, Lin EZ, Jbebli A, McNeil BR, Barupal D, Cerasa M, Xie H, Kalia V, Nandakumar R, Singh R, Tian Z, Gao P, Zhao Y, Froment J, Rostkowski P, Dubey S, Coufalíková K, Seličová H, Hecht H, Liu S, Udhani HH, Restituito S, Tchou-Wong KM, Lu K, Martin JW, Warth B, Godri Pollitt KJ, Klánová J, Fiehn O, Metz TO, Pennell KD, Jones DP, Miller GW. High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12784-12822. [PMID: 38984754 PMCID: PMC11271014 DOI: 10.1021/acs.est.4c01156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 07/11/2024]
Abstract
In the modern "omics" era, measurement of the human exposome is a critical missing link between genetic drivers and disease outcomes. High-resolution mass spectrometry (HRMS), routinely used in proteomics and metabolomics, has emerged as a leading technology to broadly profile chemical exposure agents and related biomolecules for accurate mass measurement, high sensitivity, rapid data acquisition, and increased resolution of chemical space. Non-targeted approaches are increasingly accessible, supporting a shift from conventional hypothesis-driven, quantitation-centric targeted analyses toward data-driven, hypothesis-generating chemical exposome-wide profiling. However, HRMS-based exposomics encounters unique challenges. New analytical and computational infrastructures are needed to expand the analysis coverage through streamlined, scalable, and harmonized workflows and data pipelines that permit longitudinal chemical exposome tracking, retrospective validation, and multi-omics integration for meaningful health-oriented inferences. In this article, we survey the literature on state-of-the-art HRMS-based technologies, review current analytical workflows and informatic pipelines, and provide an up-to-date reference on exposomic approaches for chemists, toxicologists, epidemiologists, care providers, and stakeholders in health sciences and medicine. We propose efforts to benchmark fit-for-purpose platforms for expanding coverage of chemical space, including gas/liquid chromatography-HRMS (GC-HRMS and LC-HRMS), and discuss opportunities, challenges, and strategies to advance the burgeoning field of the exposome.
Collapse
Affiliation(s)
- Yunjia Lai
- Department
of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Jeremy P. Koelmel
- Department
of Environmental Health Sciences, Yale School
of Public Health, New Haven, Connecticut 06520, United States
| | - Douglas I. Walker
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Elliott J. Price
- RECETOX,
Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
| | - Stefano Papazian
- Department
of Environmental Science, Science for Life Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden
- National
Facility for Exposomics, Metabolomics Platform, Science for Life Laboratory, Stockholm University, Solna 171 65, Sweden
| | - Katherine E. Manz
- Department
of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Delia Castilla-Fernández
- Department
of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, 1010 Vienna, Austria
| | - John A. Bowden
- Center for
Environmental and Human Toxicology, Department of Physiological Sciences,
College of Veterinary Medicine, University
of Florida, Gainesville, Florida 32611, United States
| | | | - Arthur David
- Univ Rennes,
Inserm, EHESP, Irset (Institut de recherche en santé, environnement
et travail) − UMR_S, 1085 Rennes, France
| | - Vincent Bessonneau
- Univ Rennes,
Inserm, EHESP, Irset (Institut de recherche en santé, environnement
et travail) − UMR_S, 1085 Rennes, France
| | - Bashar Amer
- Thermo
Fisher Scientific, San Jose, California 95134, United States
| | | | - Xin Hu
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Elizabeth Z. Lin
- Department
of Environmental Health Sciences, Yale School
of Public Health, New Haven, Connecticut 06520, United States
| | - Akrem Jbebli
- RECETOX,
Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
| | - Brooklynn R. McNeil
- Biomarkers
Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Dinesh Barupal
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Marina Cerasa
- Institute
of Atmospheric Pollution Research, Italian National Research Council, 00015 Monterotondo, Rome, Italy
| | - Hongyu Xie
- Department
of Environmental Science, Science for Life Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Vrinda Kalia
- Department
of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Renu Nandakumar
- Biomarkers
Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Randolph Singh
- Department
of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Zhenyu Tian
- Department
of Chemistry and Chemical Biology, Northeastern
University, Boston, Massachusetts 02115, United States
| | - Peng Gao
- Department
of Environmental and Occupational Health, and Department of Civil
and Environmental Engineering, University
of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States
- UPMC Hillman
Cancer Center, Pittsburgh, Pennsylvania 15232, United States
| | - Yujia Zhao
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584CM, The Netherlands
| | | | | | - Saurabh Dubey
- Biomarkers
Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Kateřina Coufalíková
- RECETOX,
Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
| | - Hana Seličová
- RECETOX,
Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
| | - Helge Hecht
- RECETOX,
Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
| | - Sheng Liu
- Department
of Environmental Health Sciences, Yale School
of Public Health, New Haven, Connecticut 06520, United States
| | - Hanisha H. Udhani
- Biomarkers
Core Laboratory, Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, New York 10032, United States
| | - Sophie Restituito
- Department
of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Kam-Meng Tchou-Wong
- Department
of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Kun Lu
- Department
of Environmental Sciences and Engineering, Gillings School of Global
Public Health, The University of North Carolina
at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Jonathan W. Martin
- Department
of Environmental Science, Science for Life Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden
- National
Facility for Exposomics, Metabolomics Platform, Science for Life Laboratory, Stockholm University, Solna 171 65, Sweden
| | - Benedikt Warth
- Department
of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, 1010 Vienna, Austria
| | - Krystal J. Godri Pollitt
- Department
of Environmental Health Sciences, Yale School
of Public Health, New Haven, Connecticut 06520, United States
| | - Jana Klánová
- RECETOX,
Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
| | - Oliver Fiehn
- West Coast
Metabolomics Center, University of California−Davis, Davis, California 95616, United States
| | - Thomas O. Metz
- Biological
Sciences Division, Pacific Northwest National
Laboratory, Richland, Washington 99354, United States
| | - Kurt D. Pennell
- School
of Engineering, Brown University, Providence, Rhode Island 02912, United States
| | - Dean P. Jones
- Department
of Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Gary W. Miller
- Department
of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| |
Collapse
|
5
|
Stratton CA, Thompson Y, Zio K, Morrison WR, Murrell EG. uafR: An R package that automates mass spectrometry data processing. PLoS One 2024; 19:e0306202. [PMID: 38968199 PMCID: PMC11226021 DOI: 10.1371/journal.pone.0306202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/12/2024] [Indexed: 07/07/2024] Open
Abstract
Chemical information has become increasingly ubiquitous and has outstripped the pace of analysis and interpretation. We have developed an R package, uafR, that automates a grueling retrieval process for gas -chromatography coupled mass spectrometry (GC -MS) data and allows anyone interested in chemical comparisons to quickly perform advanced structural similarity matches. Our streamlined cheminformatics workflows allow anyone with basic experience in R to pull out component areas for tentative compound identifications using the best published understanding of molecules across samples (pubchem.gov). Interpretations can now be done at a fraction of the time, cost, and effort it would typically take using a standard chemical ecology data analysis pipeline. The package was tested in two experimental contexts: (1) A dataset of purified internal standards, which showed our algorithms correctly identified the known compounds with R2 values ranging from 0.827-0.999 along concentrations ranging from 1 × 10-5 to 1 × 103 ng/μl, (2) A large, previously published dataset, where the number and types of compounds identified were comparable (or identical) to those identified with the traditional manual peak annotation process, and NMDS analysis of the compounds produced the same pattern of significance as in the original study. Both the speed and accuracy of GC -MS data processing are drastically improved with uafR because it allows users to fluidly interact with their experiment following tentative library identifications [i.e. after the m/z spectra have been matched against an installed chemical fragmentation database (e.g. NIST)]. Use of uafR will allow larger datasets to be collected and systematically interpreted quickly. Furthermore, the functions of uafR could allow backlogs of previously collected and annotated data to be processed by new personnel or students as they are being trained. This is critical as we enter the era of exposomics, metabolomics, volatilomes, and landscape level, high-throughput chemotyping. This package was developed to advance collective understanding of chemical data and is applicable to any research that benefits from GC -MS analysis. It can be downloaded for free along with sample datasets from Github at github.org/castratton/uafR or installed directly from R or RStudio using the developer tools: 'devtools::install_github("castratton/uafR")'.
Collapse
Affiliation(s)
- Chase A. Stratton
- The Land Institute, Salina, KS, United States of America
- Department of Biology, Delaware State University, Dover, DE, United States of America
| | | | | | - William R. Morrison
- USDA-ARS, Agricultural Research Service, Center for Grain and Animal Health Research, Manhattan, KS, United States of America
| | | |
Collapse
|
6
|
Hu J, Chen C, Zhou H, Zhang L, Yan S, Liang H. Investigation of unexpected silane ions caused by gas-phase reactions in Orbitrap gas chromatography-mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9740. [PMID: 38567573 DOI: 10.1002/rcm.9740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/04/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
RATIONALE The mass spectra of compounds containing dimethyl (phenyl)silyl group (-SiMe2Ph) sometimes exhibit unusual ion peaks when measured using Orbitrap gas chromatography-mass spectrometry (GC-MS). This would complicate the mass spectra and may limit the matching of spectral data with preexisting resources for compound annotation. These peaks were identified as products from reactions with residual water. METHODS A series of dimethyl (phenyl)silyl compounds were dissolved in methanol and investigated using Orbitrap GC-MS. Certain ions reacted with residual water in the C-trap. The reaction was confirmed using accurate mass and elemental composition analysis via MS studies, and the active center of the reaction was determined using density functional theory (DFT) calculations. RESULTS Two types of gas-phase reactions between gaseous water and cations from a series of silanes were identified. DFT calculations indicate that silicon (Si) acts as the active center for these gas-phase water reactions. Compounds with multiple Si atoms generate a larger number of additional ions, which would complicate the mass spectra. The mass spectra of vinylsilanes and alkylsilanes with -SiMe2Ph indicate that the conjugated group linked to -SiMe2Ph can affect the water adduction process. CONCLUSIONS Silane ions could react with residual water in the C-trap of an Orbitrap mass spectrometer. The mass spectra of these compounds may exhibit unexplained peaks arising from gas-phase reactions. Although these reactions may decrease spectral matching scores for compound annotation, they offer opportunities for systematic investigations into the mechanistic and kinetic aspects of high-energy ion reactivity.
Collapse
Affiliation(s)
- Jingxin Hu
- School of Chemistry, Sun Yat-sen University, Guangzhou, China
- Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, China
| | - Chunying Chen
- School of Chemistry, Sun Yat-sen University, Guangzhou, China
| | - Haiyun Zhou
- Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, China
| | - Li Zhang
- School of Chemistry, Sun Yat-sen University, Guangzhou, China
| | - Sujun Yan
- Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, China
| | - Hui Liang
- School of Chemistry, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
7
|
Westhoff P, Weber APM. The role of metabolomics in informing strategies for improving photosynthesis. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:1696-1713. [PMID: 38158893 DOI: 10.1093/jxb/erad508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/29/2023] [Indexed: 01/03/2024]
Abstract
Photosynthesis plays a vital role in acclimating to and mitigating climate change, providing food and energy security for a population that is constantly growing, and achieving an economy with zero carbon emissions. A thorough comprehension of the dynamics of photosynthesis, including its molecular regulatory network and limitations, is essential for utilizing it as a tool to boost plant growth, enhance crop yields, and support the production of plant biomass for carbon storage. Photorespiration constrains photosynthetic efficiency and contributes significantly to carbon loss. Therefore, modulating or circumventing photorespiration presents opportunities to enhance photosynthetic efficiency. Over the past eight decades, substantial progress has been made in elucidating the molecular basis of photosynthesis, photorespiration, and the key regulatory mechanisms involved, beginning with the discovery of the canonical Calvin-Benson-Bassham cycle. Advanced chromatographic and mass spectrometric technologies have allowed a comprehensive analysis of the metabolite patterns associated with photosynthesis, contributing to a deeper understanding of its regulation. In this review, we summarize the results of metabolomics studies that shed light on the molecular intricacies of photosynthetic metabolism. We also discuss the methodological requirements essential for effective analysis of photosynthetic metabolism, highlighting the value of this technology in supporting strategies aimed at enhancing photosynthesis.
Collapse
Affiliation(s)
- Philipp Westhoff
- CEPLAS Plant Metabolomics and Metabolism Laboratory, Heinrich-Heine-University, Universitätsstrasse 1, D-40225 Düsseldorf, Germany
| | - Andreas P M Weber
- Institute of Plant Biochemistry, Cluster of Excellence on Plant Science (CEPLAS), Heinrich-Heine-University, Universitätsstrasse 1, D-40225 Düsseldorf, Germany
| |
Collapse
|
8
|
Fukuyama Y, Shimamura S, Sakai S, Michimori Y, Sumida T, Chikaraishi Y, Atomi H, Nunoura T. Development of a rapid and highly accurate method for 13C tracer-based metabolomics and its application on a hydrogenotrophic methanogen. ISME COMMUNICATIONS 2024; 4:ycad006. [PMID: 38282645 PMCID: PMC10809761 DOI: 10.1093/ismeco/ycad006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 11/24/2023] [Accepted: 12/01/2023] [Indexed: 01/30/2024]
Abstract
Microfluidic capillary electrophoresis-mass spectrometry (CE-MS) is a rapid and highly accurate method to determine isotopomer patterns in isotopically labeled compounds. Here, we developed a novel method for tracer-based metabolomics using CE-MS for underivatized proteinogenic amino acids. The method consisting of a ZipChip CE system and a high-resolution Orbitrap Fusion Tribrid mass spectrometer allows us to obtain highly accurate data from 1 μl of 100 nmol/l amino acids comparable to a mere 1 [Formula: see text] 104-105 prokaryotic cells. To validate the capability of the CE-MS method, we analyzed 16 protein-derived amino acids from a methanogenic archaeon Methanothermobacter thermautotrophicus as a model organism, and the mass spectra showed sharp peaks with low mass errors and background noise. Tracer-based metabolome analysis was then performed to identify the central carbon metabolism in M. thermautotrophicus using 13C-labeled substrates. The mass isotopomer distributions of serine, aspartate, and glutamate revealed the occurrence of both the Wood-Ljungdahl pathway and an incomplete reductive tricarboxylic acid cycle for carbon fixation. In addition, biosynthesis pathways of 15 amino acids were constructed based on the mass isotopomer distributions of the detected protein-derived amino acids, genomic information, and public databases. Among them, the presence of alternative enzymes of alanine dehydrogenase, ornithine cyclodeaminase, and homoserine kinase was suggested in the biosynthesis pathways of alanine, proline, and threonine, respectively. To our knowledge, the novel 13C tracer-based metabolomics using CE-MS can be considered the most efficient method to identify central carbon metabolism and amino acid biosynthesis pathways and is applicable to any kind of isolated microbe.
Collapse
Affiliation(s)
- Yuto Fukuyama
- Research Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2–15 Natsushima-cho, Yokosuka, Kanagawa 237–0061, Japan
| | - Shigeru Shimamura
- Institute for Extra-Cutting-Edge Science and Technology Avant-Garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2–15 Natsushima-cho, Yokosuka, Kanagawa 237–0061, Japan
| | - Sanae Sakai
- Institute for Extra-Cutting-Edge Science and Technology Avant-Garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2–15 Natsushima-cho, Yokosuka, Kanagawa 237–0061, Japan
| | - Yuta Michimori
- Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan
| | - Tomomi Sumida
- Research Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2–15 Natsushima-cho, Yokosuka, Kanagawa 237–0061, Japan
| | - Yoshito Chikaraishi
- Institute of Low Temperature Science, Hokkaido University, Kita-19, Nishi-8, Kita-ku, Sapporo 060-0819, Japan
| | - Haruyuki Atomi
- Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan
| | - Takuro Nunoura
- Research Center for Bioscience and Nanoscience (CeBN), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2–15 Natsushima-cho, Yokosuka, Kanagawa 237–0061, Japan
| |
Collapse
|
9
|
Zhang C, Le Dévédec SE, Ali A, Hankemeier T. Single-cell metabolomics by mass spectrometry: ready for primetime? Curr Opin Biotechnol 2023; 82:102963. [PMID: 37356380 DOI: 10.1016/j.copbio.2023.102963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/17/2023] [Accepted: 05/23/2023] [Indexed: 06/27/2023]
Abstract
Single-cell metabolomics (SCMs) is a powerful tool for studying cellular heterogeneity by providing insight into the differences between individual cells. With the development of a set of promising SCMs pipelines, this maturing technology is expected to be widely used in biomedical research. However, before SCMs is ready for primetime, there are some challenges to overcome. In this review, we summarize the trends and challenges in the development of SCMs. We also highlight the latest methodologies, applications, and sketch the perspective for integration with other omics and imaging approaches.
Collapse
Affiliation(s)
- Congrou Zhang
- Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands
| | - Sylvia E Le Dévédec
- Division of Drug Discovery and Safety, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands
| | - Ahmed Ali
- Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands.
| | - Thomas Hankemeier
- Metabolomics and Analytics Center, Leiden Academic Centre of Drug Research, Leiden University, Leiden, the Netherlands.
| |
Collapse
|
10
|
Quantitative Methods for Metabolite Analysis in Metabolic Engineering. BIOTECHNOL BIOPROC E 2022. [DOI: 10.1007/s12257-022-0200-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
|
11
|
Llambrich M, Brezmes J, Cumeras R. The untargeted urine volatilome for biomedical applications: methodology and volatilome database. Biol Proced Online 2022; 24:20. [PMID: 36456991 PMCID: PMC9714113 DOI: 10.1186/s12575-022-00184-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/18/2022] [Indexed: 12/03/2022] Open
Abstract
Chemically diverse in compounds, urine can give us an insight into metabolic breakdown products from foods, drinks, drugs, environmental contaminants, endogenous waste metabolites, and bacterial by-products. Hundreds of them are volatile compounds; however, their composition has never been provided in detail, nor has the methodology used for urine volatilome untargeted analysis. Here, we summarize key elements for the untargeted analysis of urine volatilome from a comprehensive compilation of literature, including the latest reports published. Current achievements and limitations on each process step are discussed and compared. 34 studies were found retrieving all information from the urine treatment to the final results obtained. In this report, we provide the first specific urine volatilome database, consisting of 841 compounds from 80 different chemical classes.
Collapse
Affiliation(s)
- Maria Llambrich
- Department of Electrical Electronic Engineering and Automation, Universitat Rovira I Virgili, 43007 Tarragona, Spain
- Department of Nutrition and Metabolism, Metabolomics Interdisciplinary Group, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
| | - Jesús Brezmes
- Department of Electrical Electronic Engineering and Automation, Universitat Rovira I Virgili, 43007 Tarragona, Spain
- Department of Nutrition and Metabolism, Metabolomics Interdisciplinary Group, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
| | - Raquel Cumeras
- Department of Electrical Electronic Engineering and Automation, Universitat Rovira I Virgili, 43007 Tarragona, Spain
- Department of Nutrition and Metabolism, Metabolomics Interdisciplinary Group, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- Oncology Department, Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
| |
Collapse
|
12
|
Abadie C, Lalande J, Tcherkez G. Exact mass GC-MS analysis: Protocol, database, advantages and application to plant metabolic profiling. PLANT, CELL & ENVIRONMENT 2022; 45:3171-3183. [PMID: 35899865 PMCID: PMC9543805 DOI: 10.1111/pce.14407] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/21/2022] [Accepted: 07/23/2022] [Indexed: 05/14/2023]
Abstract
Plant metabolomics has been used widely in plant physiology, in particular to analyse metabolic responses to environmental parameters. Derivatization (via trimethylsilylation and methoximation) followed by GC-MS metabolic profiling is a major technique to quantify low molecular weight, common metabolites of primary carbon, sulphur and nitrogen metabolism. There are now excellent opportunities for new generation analyses, using high resolution, exact mass GC-MS spectrometers that are progressively becoming relatively cheap. However, exact mass GC-MS analyses for routine metabolic profiling are not common, since there is no dedicated available database. Also, exact mass GC-MS is usually dedicated to structural resolution of targeted secondary metabolites. Here, we present a curated database for exact mass metabolic profiling (made of 336 analytes, 1064 characteristic exact mass fragments) focused on molecules of primary metabolism. We show advantages of exact mass analyses, in particular to resolve isotopic patterns, localise S-containing metabolites, and avoid identification errors when analytes have common nominal mass peaks in their spectrum. We provide a practical example using leaves of different Arabidopsis ecotypes and show how exact mass GC-MS analysis can be applied to plant samples and identify metabolic profiles.
Collapse
Affiliation(s)
- Cyril Abadie
- Institut de Recherche en Horticulture et Semences, Université d'Angers, INRAeBeaucouzéFrance
| | - Julie Lalande
- Institut de Recherche en Horticulture et Semences, Université d'Angers, INRAeBeaucouzéFrance
| | - Guillaume Tcherkez
- Institut de Recherche en Horticulture et Semences, Université d'Angers, INRAeBeaucouzéFrance
- Research School of Biology, College of Science, Australian National UniversityCanberra ACTAustralia
| |
Collapse
|
13
|
Advances in Plant Metabolomics and Its Applications in Stress and Single-Cell Biology. Int J Mol Sci 2022; 23:ijms23136985. [PMID: 35805979 PMCID: PMC9266571 DOI: 10.3390/ijms23136985] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/19/2022] [Accepted: 06/19/2022] [Indexed: 02/04/2023] Open
Abstract
In the past two decades, the post-genomic era envisaged high-throughput technologies, resulting in more species with available genome sequences. In-depth multi-omics approaches have evolved to integrate cellular processes at various levels into a systems biology knowledge base. Metabolomics plays a crucial role in molecular networking to bridge the gaps between genotypes and phenotypes. However, the greater complexity of metabolites with diverse chemical and physical properties has limited the advances in plant metabolomics. For several years, applications of liquid/gas chromatography (LC/GC)-mass spectrometry (MS) and nuclear magnetic resonance (NMR) have been constantly developed. Recently, ion mobility spectrometry (IMS)-MS has shown utility in resolving isomeric and isobaric metabolites. Both MS and NMR combined metabolomics significantly increased the identification and quantification of metabolites in an untargeted and targeted manner. Thus, hyphenated metabolomics tools will narrow the gap between the number of metabolite features and the identified metabolites. Metabolites change in response to environmental conditions, including biotic and abiotic stress factors. The spatial distribution of metabolites across different organs, tissues, cells and cellular compartments is a trending research area in metabolomics. Herein, we review recent technological advancements in metabolomics and their applications in understanding plant stress biology and different levels of spatial organization. In addition, we discuss the opportunities and challenges in multiple stress interactions, multi-omics, and single-cell metabolomics.
Collapse
|
14
|
Wei S, Wei Y, Gong Y, Chen Y, Cui J, Li L, Yan H, Yu Y, Lin X, Li G, Yi L. Metabolomics as a valid analytical technique in environmental exposure research: application and progress. Metabolomics 2022; 18:35. [PMID: 35639180 DOI: 10.1007/s11306-022-01895-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 05/06/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND In recent years, studies have shown that exposure to environmental pollutants (e.g., radiation, heavy metal substances, air pollutants, organic pollutants) is a leading cause of human non-communicable diseases. The key to disease prevention is to clarify the harmful mechanisms and toxic effects of environmental pollutants on the body. Metabolomics is a high-sensitivity, high-throughput omics technology that can obtain detailed metabolite information of an organism. It is a crucial tool for gaining a comprehensive understanding of the pathway network regulation mechanism of the organism. Its application is widespread in many research fields such as environmental exposure assessment, medicine, systems biology, and biomarker discovery. AIM OF REVIEW Recent findings show that metabolomics can be used to obtain molecular snapshots of organisms after environmental exposure, to help understand the interaction between environmental exposure and organisms, and to identify potential biomarkers and biological mechanisms. KEY SCIENTIFIC CONCEPTS OF REVIEW This review focuses on the application of metabolomics to understand the biological effects of radiation, heavy metals, air pollution, and persistent organic pollutants exposure, and examines some potential biomarkers and toxicity mechanisms.
Collapse
Affiliation(s)
- Shuang Wei
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Yuanyun Wei
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Yaqi Gong
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Yonglin Chen
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Jian Cui
- Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China
| | - Linwei Li
- Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China
| | - Hongxia Yan
- Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China
| | - Yueqiu Yu
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Xiang Lin
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Guoqing Li
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Lan Yi
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
| |
Collapse
|
15
|
Metabolomics Research in Periodontal Disease by Mass Spectrometry. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27092864. [PMID: 35566216 PMCID: PMC9104832 DOI: 10.3390/molecules27092864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/24/2022] [Accepted: 04/27/2022] [Indexed: 11/20/2022]
Abstract
Periodontology is a newer field relative to other areas of dentistry. Remarkable progress has been made in recent years in periodontology in terms of both research and clinical applications, with researchers worldwide now focusing on periodontology. With recent advances in mass spectrometry technology, metabolomics research is now widely conducted in various research fields. Metabolomics, which is also termed metabolomic analysis, is a technology that enables the comprehensive analysis of small-molecule metabolites in living organisms. With the development of metabolite analysis, methods using gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, capillary electrophoresis–mass spectrometry, etc. have progressed, making it possible to analyze a wider range of metabolites and to detect metabolites at lower concentrations. Metabolomics is widely used for research in the food, plant, microbial, and medical fields. This paper provides an introduction to metabolomic analysis and a review of the increasing applications of metabolomic analysis in periodontal disease research using mass spectrometry technology.
Collapse
|
16
|
pyAIR-A New Software Tool for Breathomics Applications-Searching for Markers in TD-GC-HRMS Analysis. Molecules 2022; 27:molecules27072063. [PMID: 35408461 PMCID: PMC9000534 DOI: 10.3390/molecules27072063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 11/16/2022] Open
Abstract
Volatile metabolites in exhaled air have promising potential as diagnostic biomarkers. However, the combination of low mass, similar chemical composition, and low concentrations introduces the challenge of sorting the data to identify markers of value. In this paper, we report the development of pyAIR, a software tool for searching for volatile organic compounds (VOCs) markers in multi-group datasets, tailored for Thermal-Desorption Gas-Chromatography High Resolution Mass-Spectrometry (TD-GC-HRMS) output. pyAIR aligns the compounds between samples by spectral similarity coupled with retention times (RT), and statistically compares the groups for compounds that differ by intensity. This workflow was successfully tested and evaluated on gaseous samples spiked with 27 model VOCs at six concentrations, divided into three groups, down to 0.3 nL/L. All analytes were correctly detected and aligned. More than 80% were found to be significant markers with a p-value < 0.05; several were classified as possibly significant markers (p-value < 0.1), while a few were removed due to background level. In all group comparisons, low rates of false markers were found. These results showed the potential of pyAIR in the field of trace-level breathomics, with the capability to differentially examine several groups, such as stages of illness.
Collapse
|
17
|
Kalia V, Belsky DW, Baccarelli AA, Miller GW. An exposomic framework to uncover environmental drivers of aging. EXPOSOME 2022; 2:osac002. [PMID: 35295547 PMCID: PMC8917275 DOI: 10.1093/exposome/osac002] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 01/02/2023]
Abstract
The exposome, the environmental complement of the genome, is an omics level characterization of an individual's exposures. There is growing interest in uncovering the role of the environment in human health using an exposomic framework that provides a systematic and unbiased analysis of the non-genetic drivers of health and disease. Many environmental toxicants are associated with molecular hallmarks of aging. An exposomic framework has potential to advance understanding of these associations and how modifications to the environment can promote healthy aging in the population. However, few studies have used this framework to study biological aging. We provide an overview of approaches and challenges in using an exposomic framework to investigate environmental drivers of aging. While capturing exposures over a life course is a daunting and expensive task, the use of historical data can be a practical way to approach this research.
Collapse
Affiliation(s)
- Vrinda Kalia
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Daniel W Belsky
- Department of Epidemiology and Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Gary W Miller
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| |
Collapse
|
18
|
Zaid A, Khan MS, Yan D, Marriott PJ, Wong YF. Comprehensive two-dimensional gas chromatography with mass spectrometry: an advanced bioanalytical technique for clinical metabolomics studies. Analyst 2022; 147:3974-3992. [DOI: 10.1039/d2an00584k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
This review highlights the current state of knowledge in the development of GC × GC-MS for the analysis of clinical metabolites. Selected applications are described as well as our perspectives on current challenges and potential future directions.
Collapse
Affiliation(s)
- Atiqah Zaid
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia
| | - Mohammad Sharif Khan
- Cargill Research and Development Center, Cargill, 14800 28th Ave N, Plymouth, MN 55447, USA
| | - Dandan Yan
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Philip J. Marriott
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, VIC 3800, Australia
| | - Yong Foo Wong
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia
| |
Collapse
|
19
|
Characterization of key lipids for binding and generating aroma compounds in roasted mutton by UPLC-ESI-MS/MS and Orbitrap Exploris GC. Food Chem 2021; 374:131723. [PMID: 34875435 DOI: 10.1016/j.foodchem.2021.131723] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 11/27/2021] [Accepted: 11/27/2021] [Indexed: 12/24/2022]
Abstract
Lipids are the key aroma formation substrates and retainers relevant to the flavor quality. The lipids in the roasted mutton were investigated by UPLC-ESI-MS/MS and Orbitrap Exploris GC. The results showed that a total of 2488 lipids from 24 subclasses were identified in the roasted mutton, including 28.21% triglyceride (TG), 14.87% phosphatidylcholine (PC), and 11.03% phosphatidylethanolamine (PE). TG (16:0_18:1_18:1) and TG (18:0_18:0_18:1) might be the predominant lipids for binding aroma compounds. 488 Differential lipids from 20 subclasses were observed based on VIP > 1 and p < 0.05. The 61 out of 488 differential lipids, especially PC and PE, might predominantly contribute to the formation of aroma compounds. A total of 13 aroma compounds were determined as the characteristic odorants in the roasted mutton, including hexanal, heptanal, and 1-octen-3-ol. PC (30: 6) and PC (28: 3) were the potential markers for the discrimination of roasted mutton.
Collapse
|