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Li N, Li S, Wang Q, Yang S, Hou Y, Gao Y, Zhang X, Zhang M, Chen H. A novel visualization method for the composition analysis of processed garlic by MALDI-TOF imaging mass spectrometry (MSI) and Q-TOF LC-MS/MS. Food Res Int 2023; 168:112746. [PMID: 37120200 DOI: 10.1016/j.foodres.2023.112746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 03/16/2023] [Accepted: 03/18/2023] [Indexed: 03/31/2023]
Abstract
Laba garlic is a kind of vinegar processed garlic (Allium sativum L.) product with multiple health effects. This study applied matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-TOF MSI) and Q-TOF LC-MS/MS for the first time to investigate the garlic tissue spatial distribution changes of low molecular weight compounds during the Laba garlic processing. The distribution characteristics of the compounds were observed in processed and unprocessed garlic including amino acids and derivatives, organosulfur compounds, pigment precursors, polysaccharides and saponins. During Laba garlic processing, some bioactive compounds such as alliin and saponins were lost because they were transformed into other compounds or leached into the acetic acid solution, and some new compounds including pigments-related compounds occurred. This study provided a basis for the spatial distributions and changes of compounds in garlic tissue during Laba garlic processing, which suggested that the bioactivities of garlic might be changed after processing owing to the transformation and change of the constituents.
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Brum FL, Martins GR, Mohana-Borges R, Sant'Ana da Silva A. The acquisition of thin sections of açaí (Euterpe oleracea Mart.) seed with elevated potassium content for molecular mapping by mass spectrometry imaging. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2023:e9474. [PMID: 36694976 DOI: 10.1002/rcm.9474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 06/17/2023]
Abstract
RATIONALE Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) of tissues became popular in the last decade. Consequently, adapting sample preparation methods for different materials turned out to be a pivotal step for successful analysis due to the requirement of sample slices of 12-20 μm thickness. However, acquiring thin sections compatible with MALDI-IMS for unusual samples is challenging, as existing histological protocols may not be suitable, thus requiring new methods. Açaí (Euterpe oleracea Mart.) seed is an example of a challenging material due to its toughness and resistance to crack, therefore our goal was to develop a methodology to obtain thin (12-20 μm) and entire sections of açaí seeds for MALDI-IMS analysis. METHODS Different strategies were evaluated for obtaining thin sections of seeds, and the combination of the following steps was found to be the most suitable option: (i) softening of seeds by water immersion for 24 h; (ii) transversal cut of seeds to obtain half-seeds using a razor blade and a hammer; (iii) half-seeds imbibition in gelatin; (iv) samples sectioning using a cryostat at -20°C to obtain samples with 12-20 μm thickness; (v) collection of samples in an indium tin oxide-coated glass slide covered by double-sided copper tape to avoid sample wrapping and ensure adhesion after unfreezing; and (vi) storage of samples in a -80°C freezer, if necessary. RESULTS This adapted sample preparation method enabled the analysis of açaí seeds by MALDI-IMS, providing spatial distribution of carbohydrates in the endosperm. CONCLUSIONS The adaptations developed for sample preparation will help investigate the metabolic and physiological properties of açaí seeds in future studies.
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Affiliation(s)
- Felipe Lopes Brum
- Instituto de Biofísica Carlos Chagas Filho, Centro de Espectrometria de Massas de Biomoléculas, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Instituto Nacional de Tecnologia, Laboratório de Biocatálise, Rio de Janeiro, RJ, Brazil
| | - Gabriel R Martins
- Instituto Nacional de Tecnologia, Laboratório de Biocatálise, Rio de Janeiro, RJ, Brazil
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Ronaldo Mohana-Borges
- Instituto de Biofísica Carlos Chagas Filho, Centro de Espectrometria de Massas de Biomoléculas, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ayla Sant'Ana da Silva
- Instituto Nacional de Tecnologia, Laboratório de Biocatálise, Rio de Janeiro, RJ, Brazil
- Departamento de Bioquímica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
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3
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Xiang L, Wang F, Bian Y, Harindintwali JD, Wang Z, Wang Y, Dong J, Chen H, Schaeffer A, Jiang X, Cai Z. Visualizing the Distribution of Phthalate Esters and Plant Metabolites in Carrot by Matrix-Assisted Laser Desorption/Ionization Imaging Mass Spectrometry. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:15311-15320. [PMID: 36442135 DOI: 10.1021/acs.jafc.2c06995] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The accumulation of organic pollutants in vegetables is a major global food safety issue. The concentrations of pollutants in vegetables usually differ across different tissues because of different transport and accumulation pathways. However, owing to the limitations of conventional methods, in situ localization of typical organic pollutants such as phthalate esters (PAEs) in plant tissues has not yet been studied. Here, we developed a quick and efficient method for in situ detection and imaging of the spatial distribution of PAEs in a typical root vegetable, carrot, using matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS). The use of a 2,5-dihydroxybenzoic acid matrix with a spray-sublimation coating method led to the successful identification of PAEs ion signals. The IMS results showed that a typical PAE-di-(2-ethylhexyl)phthalate (DEHP) was broadly distributed in the cortex, phloem, and metaxylem, but was barely detectable in the cambium and protoxylem. Interestingly, MALDI-IMS data also revealed for the first time the spatial distribution of sugars and β-carotene in carrots. In summary, the developed method offers a new and practical methodology for the in situ analysis of PAEs and plant metabolites in plant tissues. As a result, it could provide a more intuitive understanding of the movement and transformation of organic pollutants in soil-plant systems.
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Affiliation(s)
- Leilei Xiang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Fang Wang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Institute for Environmental Research, RWTH Aachen University, WorringerWeg 1, Aachen 52074, Germany
| | - Yongrong Bian
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jean Damascene Harindintwali
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ziquan Wang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yu Wang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Jing Dong
- Shimadzu China Innovation Center, Beijing 100000, China
| | - Hong Chen
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Andreas Schaeffer
- Institute for Environmental Research, RWTH Aachen University, WorringerWeg 1, Aachen 52074, Germany
| | - Xin Jiang
- CAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon 999077, Hong Kong, China
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Wang X, Chen Y, Liu Y, Ouyang L, Yao R, Wang Z, Kang Y, Yan L, Huai D, Jiang H, Lei Y, Liao B. Visualizing the Distribution of Lipids in Peanut Seeds by MALDI Mass Spectrometric Imaging. Foods 2022; 11:foods11233888. [PMID: 36496696 PMCID: PMC9739101 DOI: 10.3390/foods11233888] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/29/2022] [Accepted: 11/29/2022] [Indexed: 12/03/2022] Open
Abstract
Peanut (also called groundnut, Arachis hypogaea L.) seeds are used for producing edible oils and functional foods, and offer a rich source of lipids, proteins and carbohydrates. However, the location of these metabolites has not yet been firmly established. In the present study, the matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) technique was applied to investigate spatial distribution of lipids and other key components in seeds of three peanut cultivars (ZH9, KQBH, HP). A total of 103 metabolites, including 34 lipid compounds, were putatively identified by MALDI-MSI. The abundance and spatial distribution of glycerolipids (GLs) and glycerophospholipids (GPs) were compared among the three peanut cultivars. All the identified lysophosphatidylcholine (LPC), phosphatidylethanolamine (PE) and phosphatidylcholines (PCs) were distributed mainly in the inner part of seeds. The visualization of phosphatidic acids (PAs) and triacylglycerols (TGs) revealed a dramatic metabolic heterogeneity between the different tissues making up the seed. The non-homogeneous spatial distribution of metabolites appeared to be related to the different functions of particular tissue regions. These results indicated that MALDI-MSI could be useful for investigating the lipids of foodstuffs from a spatial perspective. The present study may contribute to the development of oil crops with higher oil yields, and to improvement of food processing.
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Affiliation(s)
- Xin Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Yue Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Lei Ouyang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Ruonan Yao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Zhihui Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Yanping Kang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Liying Yan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Dongxin Huai
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China
- Correspondence:
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Wu W, Zhang L, Zheng X, Huang Q, Farag MA, Zhu R, Zhao C. Emerging applications of metabolomics in food science and future trends. Food Chem X 2022; 16:100500. [DOI: 10.1016/j.fochx.2022.100500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/17/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
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6
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Mass spectrometry imaging and its potential in food microbiology. Int J Food Microbiol 2022; 371:109675. [DOI: 10.1016/j.ijfoodmicro.2022.109675] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/23/2022] [Accepted: 04/04/2022] [Indexed: 11/20/2022]
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7
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Ishii Y, Nakamura K, Mitsumoto T, Takimoto N, Namiki M, Takasu S, Ogawa K. Visualization of the distribution of anthraquinone components from madder roots in rat kidneys by desorption electrospray ionization-time-of-flight mass spectrometry imaging. Food Chem Toxicol 2022; 161:112851. [DOI: 10.1016/j.fct.2022.112851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/11/2022] [Accepted: 02/02/2022] [Indexed: 12/17/2022]
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8
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Enomoto H. Unique distribution of ellagitannins in ripe strawberry fruit revealed by mass spectrometry imaging. Curr Res Food Sci 2021; 4:821-828. [PMID: 34841268 PMCID: PMC8606305 DOI: 10.1016/j.crfs.2021.11.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/12/2021] [Accepted: 11/12/2021] [Indexed: 11/17/2022] Open
Abstract
Ellagitannins (ETs) are hydrolysable tannins composed of a polyol core, primarily glucose, which is esterified with hexahydroxydiphenic acid (HHDP), and in some cases, gallic acid. ETs are the major phenolic compounds found in strawberries and may contribute to the health-related properties of strawberries, because of their strong antioxidative activity. However, their distribution in the strawberry fruit remains unclear. In this study, matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI–MSI) was used to visualize ETs in ripe strawberry fruits. Five peaks, corresponding to the m/z values of ET [M−H]− ions detected in the MALDI–MS spectrum of strawberry extracts, were identified as strictinin, pedunculagin, casuarictin, davuriicin M1, and an unknown ET using MALDI–tandem MS (MS/MS). In addition, liquid chromatography–electrospray ionization–MS/MS of the extracts revealed the presence of pedunculagin isomers and the unknown ET. Ion images of these five ETs were reconstructed using MALDI–MSI. Strictinin was widely distributed in and around the achene seed coats, while the other ETs were dispersed in and around the seed coats, and at the bottom of the receptacle; pedunculagin was distributed in the epidermis and pith, whereas casuarictin, the unknown ET, and davuriicin M1 were distributed in the pith. Moreover, MALDI–MSI of a casuarictin standard indicated that in-source fragmentation weakly affected the ion images. The results suggest that the distribution of ETs depends on the presence or absence of their constituents, namely galloyl units, HHDP, and bis-HHDP. To the best of my knowledge, this is the first report on the visualization of ETs in plant tissues using MSI, MALDI–MSI may be a useful tool for analyzing the distribution of ETs in the strawberry fruit. The ellagitannins (ETs) in strawberry fruits were identified. MALDI-MS/MS and LC-MS/MS were used. The ETs identified in the fruits were visualized using MALDI-MSI. The ETs showed unique distributions in the seeds and the lower receptacle. The distribution of ETs depends on their constituents: galloyl units and HHDP.
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Key Words
- CMC, carboxymethylcellulose
- DAN, 1,5-diaminonaphthalene
- Distribution
- ET, ellagitannin
- Ellagitannin
- HHDP, hexahydroxydiphenic acid
- ITO, indium–tin oxide
- LC, liquid chromatography
- Liquid chromatography-mass spectrometry
- MALDI, matrix-assisted laser desorption/ionization
- MSI, mass spectrometry imaging
- Mass spectrometry imaging
- Matrix-assisted laser desorption/ionization
- RT, retention time
- Strawberry
- TOF, time-of-flight
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya, 320-8551, Japan
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan.
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9
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Innovation in drug toxicology: Application of mass spectrometry imaging technology. Toxicology 2021; 464:153000. [PMID: 34695509 DOI: 10.1016/j.tox.2021.153000] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/21/2021] [Accepted: 10/18/2021] [Indexed: 01/19/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful molecular imaging technology that can obtain qualitative, quantitative, and location information by simultaneously detecting and mapping endogenous or exogenous molecules in biological tissue slices without specific chemical labeling or complex sample pretreatment. This article reviews the progress made in MSI and its application in drug toxicology research, including the tissue distribution of toxic drugs and their metabolites, the target organs (liver, kidney, lung, eye, and central nervous system) of toxic drugs, the discovery of toxicity-associated biomarkers, and explanations of the mechanisms of drug toxicity when MSI is combined with the cutting-edge omics methodologies. The unique advantages and broad prospects of this technology have been fully demonstrated to further promote its wider use in the field of pharmaceutical toxicology.
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10
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He M, Wang X, Bian Y, Yang M, Deng Y, Liu T, Li Y, Chen F, Xu B, Xu M, Zhang F. Modeling the distribution of malachite green in zebrafish using matrix-assisted laser desorption/ionization mass spectrometry imaging. Anal Bioanal Chem 2021; 413:7021-7030. [PMID: 34642779 DOI: 10.1007/s00216-021-03664-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 09/12/2021] [Accepted: 09/14/2021] [Indexed: 11/28/2022]
Abstract
Understanding the spatial distribution of bioactive small molecules is indispensable for elucidating their biological or pharmaceutical roles. Here, a rapid and effective analysis strategy was introduced to study the distribution of veterinary drugs in aquatic products. Malachite green (MG), one of the most widely used veterinary drugs in aquaculture, was selected as the targeted compound. Zebrafish (Danio rerio) was used as a model organism. After an exposure test, the matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) technique was applied to directly analyze the content changes of malachite green in zebrafish tissues. The reliable relationship of exposure time and content change of MG was described precisely by the extended Freundlich equation. The process of modeling was discussed in detail, and some important parameters or trend information was obtained, including the maximum content of MG in different fish tissues, time to maximum content, elimination time, equilibrium content, and so on. With a simplification of sample pretreatment, this research strategy can be used for monitoring the spatial distribution of veterinary drugs and related metabolites of laboratory-exposed fish. The obtained model can provide a perspective for rational drug use in aquaculture and precise drug residue detection in production activities.
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Affiliation(s)
- Muyi He
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Xiujuan Wang
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Yu Bian
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
- College of Pharmacy, China Medical University, Shenyang, 110000, China
| | - Minli Yang
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Yamei Deng
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
- College of Pharmacy, China Medical University, Shenyang, 110000, China
| | - Tong Liu
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Yinlong Li
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Fengming Chen
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Bozhou Xu
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Meixia Xu
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China
| | - Feng Zhang
- Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China.
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11
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Merdas M, Lagarrigue M, Vanbellingen Q, Umbdenstock T, Da Violante G, Pineau C. On-tissue chemical derivatization reagents for matrix-assisted laser desorption/ionization mass spectrometry imaging. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4731. [PMID: 34080257 DOI: 10.1002/jms.4731] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 03/26/2021] [Accepted: 04/13/2021] [Indexed: 05/27/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) is a key tool for the analysis of biological tissues. It provides spatial and quantitative information about different types of analytes within tissue sections. Despite the increasing improvements of this technique, the low detection sensitivity of some compounds remains an important challenge to overcome. Poor sensitivity is related to weak ionization efficiency, low abundance of analytes and matrix ions, or endogenous interferences. On-tissue chemical derivatization (OTCD) has proven to be an important solution to these issues and is increasingly employed in MALDI MSI studies. OTCD reagents, synthesized or commercially available, have been essentially used for the detection of small exogenous or endogenous molecules within tissues. Optimally, an OTCD reaction is performed in mild conditions, in an acceptable range of time, preserves the integrity of the tissues, and prevents the delocalization. In addition to their reactivity with a targeted chemical function, some OTCD reagents can also be used as a matrix, which simplifies the sample preparation procedure. In this review, we present an exhaustive overview of OTCD reagents and methods used in MALDI MSI studies.
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Affiliation(s)
- Mira Merdas
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, F-35042, France
- Protim, Univ Rennes, Rennes, F-35042, France
- DMPK Department, Technologie Servier, Orléans, 45007, France
| | - Mélanie Lagarrigue
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, F-35042, France
- Protim, Univ Rennes, Rennes, F-35042, France
| | | | | | | | - Charles Pineau
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, Rennes, F-35042, France
- Protim, Univ Rennes, Rennes, F-35042, France
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12
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Enomoto H, Miyamoto K. Unique localization of jasmonic acid-related compounds in developing Phaseolus vulgaris L. (common bean) seeds revealed through desorption electrospray ionization-mass spectrometry imaging. PHYTOCHEMISTRY 2021; 188:112812. [PMID: 34015625 DOI: 10.1016/j.phytochem.2021.112812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 06/12/2023]
Abstract
Jasmonic acid (JA) and its precursors are oxylipins derived from α-linolenic acid (αLA). Presumably, they are involved in the regulation of seed embryogenesis, dormancy, and germination. However, their spatial localization in the developing Phaseolus vulgaris L. (common bean) seeds has not been fully elucidated. Therefore, desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) was performed to investigate their localization in the developing seeds. Peaks corresponding to the chemical formulae of αLA and 3-oxo-2-(2-(Z)-pentenyl)-cyclopentane-1-octanoic acid (OPC-8:0) were localized mainly in the radicle and seed coat, while that of 12-oxo-phytodienoic acid (OPDA) in the seed coat. This was consistent with the quantitative results obtained using liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS) analysis. In contrast, DESI-tandem MSI (MS/MSI) and LC-ESI-MS/MS analyses showed that the effects of isomers on the DESI-MSI ion images were small for αLA and OPDA, but not for OPC-8:0. This indicated that DESI-MSI could accurately visualize αLA and OPDA, while DESI-MS/MSI was necessary to visualize OPC-8:0. The results demonstrated that free αLA and OPC-8:0 were abundant in the radicle and seed coat, while free OPDA was accumulated in the seed coat. Interestingly, the localization pattern of OPDA was similar to that of JA. In addition, compared to the concentrations of OPDA, the concentration of OPC-8:0 was lower in the seed coat and higher in the radicle. These results suggest that OPDA and/or JA play a biological role mainly in the seed coat, while OPC-8:0 is biologically active mainly in the radicle. Therefore, DESI-MSI coupled with LC-ESI-MS is a useful tool for spatial analysis of JA-related compounds in developing common bean seeds.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan; Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan; Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya, 320-8551, Japan.
| | - Koji Miyamoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan; Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya, 320-8551, Japan
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13
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Harvey DJ. ANALYSIS OF CARBOHYDRATES AND GLYCOCONJUGATES BY MATRIX-ASSISTED LASER DESORPTION/IONIZATION MASS SPECTROMETRY: AN UPDATE FOR 2015-2016. MASS SPECTROMETRY REVIEWS 2021; 40:408-565. [PMID: 33725404 DOI: 10.1002/mas.21651] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 07/24/2020] [Indexed: 06/12/2023]
Abstract
This review is the ninth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2016. Also included are papers that describe methods appropriate to analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation and arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly-saccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals. Much of this material is presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions and applications to chemical synthesis. The reported work shows increasing use of combined new techniques such as ion mobility and the enormous impact that MALDI imaging is having. MALDI, although invented over 30 years ago is still an ideal technique for carbohydrate analysis and advancements in the technique and range of applications show no sign of deminishing. © 2020 Wiley Periodicals, Inc.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom
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14
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Spatiotemporal Visualization of Insecticides and Fungicides within Fruits and Vegetables Using Gold Nanoparticle-Immersed Paper Imprinting Mass Spectrometry Imaging. NANOMATERIALS 2021; 11:nano11051327. [PMID: 34069856 PMCID: PMC8157356 DOI: 10.3390/nano11051327] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 05/15/2021] [Indexed: 12/18/2022]
Abstract
Food safety issues caused by pesticide residue have exerted far-reaching impacts on human daily life, yet the available detection methods normally focus on surface residue rather than pesticide penetration to the internal area of foods. Herein, we demonstrated gold nanoparticle (AuNP)-immersed paper imprinting mass spectrometry imaging (MSI) for monitoring pesticide migration behaviors in various fruits and vegetables (i.e., apple, cucumber, pepper, plum, carrot, and strawberry). By manually stamping food tissues onto AuNP-immersed paper, this method affords the spatiotemporal visualization of insecticides and fungicides within fruits and vegetables, avoiding tedious and time-consuming sample preparation. Using the established MSI platform, we can track the migration of insecticides and fungicides into the inner region of foods. The results revealed that both the octanol-water partition coefficient of pesticides and water content of garden stuffs could influence the discrepancy in the migration speed of pesticides into food kernels. Taken together, this nanopaper imprinting MSI is poised to be a powerful tool because of its simplicity, rapidity, and easy operation, offering the potential to facilitate further applications in food analysis. Moreover, new perspectives are given to provide guidelines for the rational design of novel pesticide candidates, reducing the risk of food safety issues caused by pesticide residue.
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15
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Calvano CD, Bianco M, Losito I, Cataldi TRI. Proteomic Analysisof Food Allergens by MALDI TOF/TOF Mass Spectrometry. Methods Mol Biol 2021; 2178:357-376. [PMID: 33128761 DOI: 10.1007/978-1-0716-0775-6_24] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is largely recognized as an important tool in the analysis of many biomolecules such as proteins and peptides. The MS analysis of digested peptides to identify a protein or some of its modifications is a key step in proteomics. MALDI-MS is well suited for the peptide mass fingerprinting (PMF) technique, as well as selected fragmentation of various precursors using collisional-induced dissociation (CID) or post-source decay (PSD).In the last few years, MALDI-MS has played a significant role in food chemistry, especially in the detection of food adulterations, characterization of food allergens, and investigation of protein structural modifications induced by various industrial processes that could be an issue in terms of food quality and safety.Here, we present simple extraction protocols of allergenic proteins in food commodities such as milk, egg, hazelnut , and lupin seeds. Classic bottom-up approaches based on Sodium Dodecyl Sulphate (SDS) gel electrophoresis separation followed by in-gel digestion or direct in-solution digestion of whole samples are described. MALDI-MS and MS /MS analyses are discussed along with a comparison of data obtained by using the most widespread matrices for proteomic studies, namely, α-cyano-4-hydroxy-cinnamic acid (CHCA) and α-cyano-4-chloro-cinnamic acid (CClCA). The choice of the most suitable MALDI matrix is fundamental for high-throughput screening of putative food allergens.
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Affiliation(s)
- Cosima D Calvano
- Centro Interdipartimentale di Ricerca SMART, Università degli Studi di Bari "Aldo Moro", Bari, Italy. .,Dipartimento di Farmacia- Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", Bari, Italy.
| | - Mariachiara Bianco
- Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, Italy
| | - Ilario Losito
- Centro Interdipartimentale di Ricerca SMART, Università degli Studi di Bari "Aldo Moro", Bari, Italy.,Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, Italy
| | - Tommaso R I Cataldi
- Centro Interdipartimentale di Ricerca SMART, Università degli Studi di Bari "Aldo Moro", Bari, Italy.,Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Bari, Italy
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16
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Li N, Dong J, Dong C, Han Y, Liu H, Du F, Nie H. Spatial Distribution of Endogenous Molecules in Coffee Beans by Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:2503-2510. [PMID: 33090781 DOI: 10.1021/jasms.0c00202] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Mass spectrometry imaging (MSI) is a promising chemical imaging method. Among various endogenous molecules, mapping the concentration and the spatial distribution of specific compounds in the coffee bean tissue is of tremendous significance in its function research, as these compounds are critical to grading coffee beans at the molecular level, determining the geographical origin, and optimizing storage conditions of coffee beans. In this paper, we established an atmospheric pressure (AP) matrix-assisted laser desorption/ionization (MALDI) MSI method for the microscopic distribution analysis of endogenous molecules, for example, sucrose, caffeine, and caffeoylquinic acid, in the coffee bean endosperm. Experiments were done on the differences between coffee beans from eight countries. Principal component analysis (PCA) was performed using IMAGEREVEAL software. The results showed that the chemical composition and relative content of coffee beans from different origins are different. Our work provides a detection method that may be used for coffee bean quality identification, efficient use, product traceability, and product counterfeiting.
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Affiliation(s)
- Na Li
- College of Biological and Environmental Engineering, Changsha University, Changsha 410022, China
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Jing Dong
- Shimadzu China Innovation Center, Beijing 100020, China
| | - Chenglong Dong
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China
| | - Yehua Han
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China
| | - Huwei Liu
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Fuyou Du
- College of Biological and Environmental Engineering, Changsha University, Changsha 410022, China
| | - Honggang Nie
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
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17
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Enomoto H. Mass Spectrometry Imaging of Flavonols and Ellagic Acid Glycosides in Ripe Strawberry Fruit. MOLECULES (BASEL, SWITZERLAND) 2020; 25:molecules25204600. [PMID: 33050295 PMCID: PMC7587173 DOI: 10.3390/molecules25204600] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 10/03/2020] [Accepted: 10/05/2020] [Indexed: 12/11/2022]
Abstract
Flavonols and ellagic acid glycosides are major phenolic compounds in strawberry fruit. They have antioxidant activity, show protective functions against abiotic and biotic stress, and provide health benefits. However, their spatial distribution in ripe fruit has not been understood. Therefore, matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry imaging (MSI) was performed to investigate their distribution in fruit tissues. Using strawberry extract, five flavonols, namely, three kaempferols and two quercetins, and two ellagic acid glycosides, were tentatively identified by MALDI-tandem MS. To investigate the tentatively identified compounds, MALDI-MSI and tandem MS imaging (MS/MSI) analyses were performed. Kaempferol and quercetin glycosides showed similar distribution patterns. They were mainly found in the epidermis, while ellagic acid glycosides were mainly found in the achene and in the bottom area of the receptacle. These results suggested that the difference in distribution pattern between flavonols and ellagic acid glycosides depends on the difference between their aglycones. Seemingly, flavonols play a role in protective functions in the epidermis, while ellagic acid glycosides play a role in the achene and in the bottom side of the receptacle, respectively. These results demonstrated that MALDI-MSI is useful for distribution analysis of flavonols and ellagic acid glycosides in strawberry fruit.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan;
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya 320-8551, Japan
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18
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Chemical characterization, antioxidant and antimicrobial activities of açaí seed (Euterpe oleracea Mart.) extracts containing A- and B-type procyanidins. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2020.109830] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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19
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Ling L, Jiang L, Chen Q, Zhao B, Li Y, Guo X. Rapid and accurate profiling of oligosaccharides in beer by using a reactive matrix via MALDI-TOF MS. Food Chem 2020; 340:128208. [PMID: 33022558 DOI: 10.1016/j.foodchem.2020.128208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 08/17/2020] [Accepted: 09/23/2020] [Indexed: 10/23/2022]
Abstract
Oligosaccharides analysis is crucial for brewing technology. Herein, we reported a rapid and highly reproducible method for profiling of oligosaccharides in beer using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) by employing a reasonably designed reactive-matrix, 2-phenyl-3-(p-aminophenyl) acrylonitrile (PAPAN). The PAPAN enhanced ionization efficiency of oligosaccharides and improved reproducibility comparing to the use of conventional matrix, 2,5-dihydroxybenzoic acid (DHB). After optimization of sample dilution factor and cationization agents, the distributions of maltooligosaccharides in different brands of beers were unambiguously identified. Since the PAPAN selectively reacts with the reducing end of oligosaccharides, the interferences from matrixes are effectively eliminated. Therefore, the method shows potentials for analysis of oligosaccharides in other foods.
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Affiliation(s)
- Ling Ling
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China
| | - Liyan Jiang
- College of Life Science, Jilin University, Changchun 130012, China.
| | - Qirui Chen
- College of Life Science, Jilin University, Changchun 130012, China
| | - Bo Zhao
- College of Life Science, Jilin University, Changchun 130012, China
| | - Yueying Li
- College of Life Science, Jilin University, Changchun 130012, China
| | - Xinhua Guo
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China; Key Laboratory for Molecular Enzymology and Engineering of the Ministry of Education, College of Life Science, Jilin University, Changchun 130012, China.
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20
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Enomoto H, Nirasawa T. Localization of Flavan-3-ol Species in Peanut Testa by Mass Spectrometry Imaging. Molecules 2020; 25:molecules25102373. [PMID: 32443878 PMCID: PMC7287834 DOI: 10.3390/molecules25102373] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/16/2020] [Accepted: 05/20/2020] [Indexed: 12/20/2022] Open
Abstract
Flavan-3-ols, procyanidins and their monomers are major flavonoids present in peanuts that show a wide range of biological properties and health benefits, based on their potent antioxidant activity. Procyanidin oligomers, especially A-type, are reportedly abundant in peanut skin; however, their localization in the raw peanut testa remains poorly understood. Therefore, we performed matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to investigate the localization of flavan-3-ols in peanut testa. 1,5-Diaminonaphthalene was coated onto the peanut section by matrix vapor deposition/recrystallization, and MALDI-MSI measurements were performed in the negative-ion mode. Peaks matching the m/z values of flavan-3-ol [M - H]- ions were observed in the mass spectrum extracted from the outer epidermis of the peanut testa, using the region of interest function. Catechin and/or epicatechin, five A-type, and one B-type procyanidins were assigned by the fragment ions generated by retro-Diels-Alder, heterocyclic ring fission, and quinone methide reactions detected in MALDI-tandem MS spectra. These flavan-3-ols were localized in the outer epidermis of the peanut testa. This information will contribute to improving the extraction and purification efficiencies of flavan-3-ols from peanut testa. As flavan-3-ols display anti-microbial activity, it is speculated that flavan-3-ols present in the outer epidermis of peanut testa act to prevent pathogen infection.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya 320-8551, Japan
- Correspondence:
| | - Takashi Nirasawa
- Application Department Daltonics Division, Bruker Japan K.K., Yokohama 221-0022, Japan;
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21
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Yukihiro Y, Zaima N. Application of Mass Spectrometry Imaging for Visualizing Food Components. Foods 2020; 9:foods9050575. [PMID: 32375379 PMCID: PMC7278736 DOI: 10.3390/foods9050575] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 04/15/2020] [Accepted: 04/24/2020] [Indexed: 02/07/2023] Open
Abstract
Consuming food is essential for survival, maintaining health, and triggering positive emotions like pleasure. One of the factors that drive us toward such behavior is the presence of various compounds in foods. There are many methods to analyze these molecules in foods; however, it is difficult to analyze the spatial distribution of these compounds using conventional techniques, such as mass spectrometry combined with high-performance liquid chromatography or gas chromatography. Mass spectrometry imaging (MSI) is a two-dimensional ionization technology that enables detection of compounds in tissue sections without extraction, purification, separation, or labeling. There are many methods for ionization of analytes, including secondary ion mass spectrometry, matrix-assisted laser desorption/ionization, and desorption electrospray ionization. Such MSI technologies can provide spatial information on the location of a specific analyte in food. The number of studies utilizing MSI technologies in food science has been increasing in the past decade. This review provides an overview of some of the recent applications of MSI in food science and related fields. In the future, MSI will become one of the most promising technologies for visualizing the distribution of food components and for identifying food-related factors by their molecular weights to improve quality, quality assurance, food safety, nutritional analysis, and to locate administered food factors.
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Affiliation(s)
- Yoshimura Yukihiro
- Department of Nutrition, Kobe Gakuin University, 518 Arise, Ikawadani-cho, Nishi-ku, Kobe City 651-2180, Japan
| | - Nobuhiro Zaima
- Department of Applied Biological Chemistry, Graduate School of Agriculture, Kindai University, 204-3327 Nakamachi, Nara City 631-8505, Japan
- Agricultural Technology and Innovation Research Institute, Kindai University,204-3327 Nakamachi, Nara City 631-8505, Japan
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22
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A novel spatial-resolution targeted metabolomics method in a single leaf of the tea plant (Camellia sinensis). Food Chem 2020; 311:126007. [DOI: 10.1016/j.foodchem.2019.126007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/27/2019] [Accepted: 12/02/2019] [Indexed: 11/19/2022]
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23
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Enomoto H, Kotani M, Ohmura T. Novel Blotting Method for Mass Spectrometry Imaging of Metabolites in Strawberry Fruit by Desorption/Ionization Using Through Hole Alumina Membrane. Foods 2020; 9:foods9040408. [PMID: 32244711 PMCID: PMC7230831 DOI: 10.3390/foods9040408] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 03/26/2020] [Accepted: 03/27/2020] [Indexed: 01/21/2023] Open
Abstract
Mass spectrometry imaging (MSI) using matrix-assisted laser desorption/ionization (MALDI) is a powerful technique for visualizing metabolites in the strawberry fruit. During sample preparation for MALDI-MSI, sectioning of the samples is usually required. In general, MALDI-MSI analysis of strawberry fruits that are larger than a single glass slide is difficult because thin sections cannot be prepared. In this study, we attempted to visualize metabolites in large strawberry fruits by MSI, employing a blotting method that uses desorption ionization using a through-hole alumina membrane (DIUTHAME) chip. Large strawberry fruits were cut and a DIUTHAME chip was set on the cross-section to blot the metabolites. After drying the DIUTHAME chip, the metabolites were measured in positive and negative ion modes using a commercial MALDI-type mass spectrometer. Several peaks were detected in both the ion modes. Various metabolites related to food quality, such as sugars, organic acids, and anthocyanins, were detected and successfully visualized by blotting on a DIUTHAME chip in MSI. These results suggest that blotting using a DIUTHAME chip in MSI is useful for visualizing the metabolites present in the strawberry fruit.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya 320-8551, Japan
- Correspondence: ; Tel.: +81-28-627-7312
| | - Masahiro Kotani
- Hamamatsu Photonics K.K., 314-5 Shimokanzo, Iwata 438-0193, Japan; (M.K.); (T.O.)
| | - Takayuki Ohmura
- Hamamatsu Photonics K.K., 314-5 Shimokanzo, Iwata 438-0193, Japan; (M.K.); (T.O.)
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24
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Yang FY, Chen JH, Ruan QQ, Saqib HSA, He WY, You MS. Mass spectrometry imaging: An emerging technology for the analysis of metabolites in insects. ARCHIVES OF INSECT BIOCHEMISTRY AND PHYSIOLOGY 2020; 103:e21643. [PMID: 31667894 DOI: 10.1002/arch.21643] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 09/29/2019] [Accepted: 10/14/2019] [Indexed: 05/18/2023]
Abstract
Mass spectrometry imaging (MSI) can visualize the composition, abundance, and spatial distribution of molecules in tissues or cells, which has been widely used in the research of life science. Insects, especially the agricultural pests, have received a great deal of interests from the scientists in biodiversity and food security. This review introduces the major characteristics of MSI, summarizes its application to the investigation of insect endogenous metabolites, exogenous metabolites, and the spatiotemporal changes of metabolites between insects and plants, and discusses its shortfalls and perspectives. The significance of these concerns is beneficial for future insect research such as physiology and metabolism.
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Affiliation(s)
- Fei-Ying Yang
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jun-Hui Chen
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qian-Qian Ruan
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hafiz S A Saqib
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wei-Yi He
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Min-Sheng You
- State Key Laboratory for Ecological Pest Control of Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China
- International Joint Research Laboratory of Ecological Pest Control, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China
- Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, China
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25
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Enomoto H, Furukawa T, Takeda S, Hatta H, Zaima N. Unique Distribution of Diacyl-, Alkylacyl-, and Alkenylacyl-Phosphatidylcholine Species Visualized in Pork Chop Tissues by Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging. Foods 2020; 9:foods9020205. [PMID: 32079116 PMCID: PMC7073967 DOI: 10.3390/foods9020205] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/12/2020] [Accepted: 02/14/2020] [Indexed: 12/22/2022] Open
Abstract
Phosphatidylcholine (PC) is the major phospholipid in meat and influences meat qualities, such as healthiness. PC is classified into three groups based on the bond at the sn-1 position: Diacyl, alkylacyl, and alkenylacyl. To investigate their composition and distribution in pork tissues, including longissimus thoracis et lumborum (loin) spinalis muscles, intermuscular fat, and transparent tissues, we performed matrix-assisted laser desorption/ionization–mass spectrometry imaging (MALDI–MSI). Eleven diacyl-, seven alkylacyl-, and six alkenylacyl-PCs were identified using liquid chromatography (LC)-tandem MS (MS/MS) analysis. Despite many alkylacyl- and alkenylacyl-PC species sharing identical m/z values, we were able to visualize these PC species using MALDI–MSI. Diacyl- and alkylacyl- and/or alkenylacyl-PC species showed unique distribution patterns in the tissues, suggesting that their distribution patterns were dependent on their fatty acid compositions. PCs are a major dietary source of choline in meat, and the amount was significantly higher in the muscle tissues. Consumption of choline mitigates age-related memory decline and neurodegenerative diseases; therefore, the consumption of pork muscle tissues could help to mitigate these diseases. These results support the use of MALDI–MSI analysis for assessing the association between PC species and the quality parameters of meat.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya 320-8551, Japan
- Correspondence: ; Tel.: +81-28-627-7312
| | - Tomohiro Furukawa
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
| | - Shiro Takeda
- Department of Animal Science and Biotechnology, School of Veterinary Medicine, Azabu University, Sagamihara 252-5201, Japan;
| | - Hajime Hatta
- Department of Food and Nutrition, Faculty of Home Economics, Kyoto Women’s University, Kyoto 605-8501, Japan;
| | - Nobuhiro Zaima
- Department of Applied Biological Chemistry, Graduate School of Agriculture, Kindai University, Nara 631-8505, Japan;
- Agricultural Technology and Innovation Research Institute, Kindai University, Nara 631-8505, Japan
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26
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Enomoto H, Takahashi S, Takeda S, Hatta H. Distribution of Flavan-3-ol Species in Ripe Strawberry Fruit Revealed by Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging. Molecules 2019; 25:molecules25010103. [PMID: 31888096 PMCID: PMC6982903 DOI: 10.3390/molecules25010103] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 12/21/2019] [Accepted: 12/23/2019] [Indexed: 12/12/2022] Open
Abstract
Flavan-3-ols, which comprise proanthocyanidins and their monomers, are major flavonoids in strawberries, and they have a wide range of biological activities and health benefits. However, their spatial distribution in strawberry fruit remains poorly understood. Therefore, we performed matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI), to visualize flavan-3-ols in ripe strawberry fruit. Peaks matching the m/z values of flavan-3-ols [M − H]− ions were detected in the negative ion mode using 1,5-diaminonaphthalene as matrix. Catechin and/or epicatechin, three B-type procyanidins, and two B-type propelargonidins were identified by MALDI-tandem MS. These flavan-3-ols were mainly distributed in the calyx, in and around the vascular bundles, and in the skin. In-source fragmentation of proanthocyanidins was determined using their standards, suggesting their distribution was mixed ion images of themselves, and fragment ions generated from those had a higher degree of polymerization. B-type procyanidins were predominantly distributed in the vascular bundles than in the skin, whereas B-type propelargonidins were almost equally distributed between the vascular bundles and skin, suggesting that their distribution patterns are different from the type of their flavan-3-ol monomers. Flavan-3-ols, especially B-type procyanidins, may help prevent pathogen infection not only in the skin but also in and around the vascular bundles.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan;
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya 320-8551, Japan
- Correspondence:
| | - Senji Takahashi
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan;
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
| | - Shiro Takeda
- Department of Animal Science and Biotechnology, School of Veterinary Medicine, Azabu University, Sagamihara 252-5201, Japan;
| | - Hajime Hatta
- Department of Food and Nutrition, Faculty of Home Economics, Kyoto Women’s University, Kyoto 605-8501, Japan;
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Application of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging for Food Analysis. Foods 2019; 8:foods8120633. [PMID: 31810360 PMCID: PMC6963588 DOI: 10.3390/foods8120633] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 11/21/2019] [Accepted: 11/28/2019] [Indexed: 02/06/2023] Open
Abstract
Food contains various compounds, and there are many methods available to analyze each of these components. However, the large amounts of low-molecular-weight metabolites in food, such as amino acids, organic acids, vitamins, lipids, and toxins, make it difficult to analyze the spatial distribution of these molecules. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) imaging is a two-dimensional ionization technology that allows the detection of small metabolites in tissue sections without requiring purification, extraction, separation, or labeling. The application of MALDI-MS imaging in food analysis improves the visualization of these compounds to identify not only the nutritional content but also the geographical origin of the food. In this review, we provide an overview of some recent applications of MALDI-MS imaging, demonstrating the advantages and prospects of this technology compared to conventional approaches. Further development and enhancement of MALDI-MS imaging is expected to offer great benefits to consumers, researchers, and food producers with respect to breeding improvement, traceability, the development of value-added foods, and improved safety assessments.
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28
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Interactions of preservatives in meat processing: Formation of carcinogenic compounds, analytical methods, and inhibitory agents. Food Res Int 2019; 125:108608. [DOI: 10.1016/j.foodres.2019.108608] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 08/02/2019] [Accepted: 08/04/2019] [Indexed: 12/11/2022]
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Gauglitz JM, Aceves CM, Aksenov AA, Aleti G, Almaliti J, Bouslimani A, Brown EA, Campeau A, Caraballo-Rodríguez AM, Chaar R, da Silva RR, Demko AM, Di Ottavio F, Elijah E, Ernst M, Ferguson LP, Holmes X, Jarmusch AK, Jiang L, Kang KB, Koester I, Kwan B, Li J, Li Y, Melnik AV, Molina-Santiago C, Ni B, Oom AL, Panitchpakdi MW, Petras D, Quinn R, Sikora N, Spengler K, Teke B, Tripathi A, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vrbanac A, Vu AQ, Wang SC, Weldon K, Wilson K, Wozniak JM, Yoon M, Bandeira N, Dorrestein PC. Untargeted mass spectrometry-based metabolomics approach unveils molecular changes in raw and processed foods and beverages. Food Chem 2019; 302:125290. [PMID: 31404873 DOI: 10.1016/j.foodchem.2019.125290] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 07/19/2019] [Accepted: 07/28/2019] [Indexed: 10/26/2022]
Abstract
In our daily lives, we consume foods that have been transported, stored, prepared, cooked, or otherwise processed by ourselves or others. Food storage and preparation have drastic effects on the chemical composition of foods. Untargeted mass spectrometry analysis of food samples has the potential to increase our chemical understanding of these processes by detecting a broad spectrum of chemicals. We performed a time-based analysis of the chemical changes in foods during common preparations, such as fermentation, brewing, and ripening, using untargeted mass spectrometry and molecular networking. The data analysis workflow presented implements an approach to study changes in food chemistry that can reveal global alterations in chemical profiles, identify changes in abundance, as well as identify specific chemicals and their transformation products. The data generated in this study are publicly available, enabling the replication and re-analysis of these data in isolation, and serve as a baseline dataset for future investigations.
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Affiliation(s)
- Julia M Gauglitz
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Center for Microbiome Innovation, University of California, San Diego, United States.
| | - Christine M Aceves
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Alexander A Aksenov
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Gajender Aleti
- Mammalian Genomics, J. Craig Venter Institute, San Diego, United States
| | - Jehad Almaliti
- Scripps Institution of Oceanography, University of California, San Diego, United States; Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Amina Bouslimani
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Elizabeth A Brown
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Anaamika Campeau
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Department of Pharmacology, University of California, San Diego, United States
| | - Andrés Mauricio Caraballo-Rodríguez
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Rama Chaar
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Ricardo R da Silva
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Alyssa M Demko
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Francesca Di Ottavio
- Faculty of Bioscience and Technology for Food, Agriculture, and Environment, University of Teramo, TE, Italy
| | - Emmanuel Elijah
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Madeleine Ernst
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - L Paige Ferguson
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Xavier Holmes
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Lingjing Jiang
- Department of Family Medicine and Public Health, University of California, San Diego, United States
| | - Kyo Bin Kang
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Irina Koester
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Brian Kwan
- Department of Family Medicine and Public Health, University of California, San Diego, United States
| | - Jie Li
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Yueying Li
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Alexey V Melnik
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Center for Microbiome Innovation, University of California, San Diego, United States
| | - Carlos Molina-Santiago
- Departamento de Microbiología, Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora", Universidad de Málaga, Bulevar Louis Pasteur 31 (Campus Universitario de Teatinos), 29071 Málaga, Spain
| | - Bohan Ni
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Aaron L Oom
- Department of Medicine, University of California, San Diego, United States
| | - Morgan W Panitchpakdi
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Daniel Petras
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Center for Microbiome Innovation, University of California, San Diego, United States; Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Robert Quinn
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Nicole Sikora
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Katharina Spengler
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Bahar Teke
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Anupriya Tripathi
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Sabah Ul-Hasan
- School of Natural Sciences, University of California Merced, Merced, CA 95343, United States
| | - Justin J J van der Hooft
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Fernando Vargas
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Division of Biological Sciences, University of California at San Diego, La Jolla, CA, United States
| | - Alison Vrbanac
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, United States
| | - Anthony Q Vu
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, United States
| | - Steven C Wang
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Division of Biological Sciences, University of California at San Diego, La Jolla, CA, United States
| | - Kelly Weldon
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Center for Microbiome Innovation, University of California, San Diego, United States
| | - Kayla Wilson
- Scripps Institution of Oceanography, University of California, San Diego, United States
| | - Jacob M Wozniak
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Department of Pharmacology, University of California, San Diego, United States
| | - Michael Yoon
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States
| | - Nuno Bandeira
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Department of Computer Science and Engineering, University of California, San Diego, United States
| | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, United States; Departments of Pharmacology and Pediatrics, University of California, San Diego, United States.
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30
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Piccolella S, Crescente G, Candela L, Pacifico S. Nutraceutical polyphenols: New analytical challenges and opportunities. J Pharm Biomed Anal 2019; 175:112774. [PMID: 31336288 DOI: 10.1016/j.jpba.2019.07.022] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 07/12/2019] [Accepted: 07/12/2019] [Indexed: 01/10/2023]
Abstract
Nowadays, the research for secondary metabolites with health promoting effects in countering or slowing-down chronic and degenerative diseases (e.g. cancer, cardiovascular, and neurodegenerative diseases) identify phenols and polyphenols, widespread and mostly copious in dietary plant sources, as beneficial for human health. These compounds, as intrinsically antioxidant, are claimed as nutraceuticals with preventive efficacy in offsetting oxidant species over-genesis in normal cells, and with the potential ability to halt or reverse oxidative stress-related diseases. In this context, pure (poly)phenols and/or their herbal/food complexes were found to exert both anti- and pro-oxidant activities, suggesting also a promising chemopreventive efficacy. In fact, different evidence further highlights their ability to induce apoptosis, growth arrest, DNA synthesis inhibition and/or modulation of signal transduction pathways. Indeed, a full understanding of the phenolic and polyphenolic composition of plant species, which still now represent their inestimable and worth exploring source, is an important challenge, which today can and must be favourably pursued in the consciousness that the bioactivity of a plant extract is always in its chemistry. To reach this purpose a number of new and advanced techniques are available for extraction, purification and structural identification purposes, but, taking into account how, when and where (poly)phenols are biosynthesized, their use must be highly rationalized. This is particularly true for mass spectrometry techniques which, although representing one of the most powerful tools and in continuous evolution in this era, often suffer from an automatism that does not give justice to the chemical goodness of a plant species and particularly those of nutraceutical interest. This review will deepen into polyphenol research, focusing on biosynthesis, analytical approaches for a conscious exploitability of nutraceutical plant extracts rich in antioxidant and anti-inflammatory polyphenols and/or pure isolated polyphenols.
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Affiliation(s)
- Simona Piccolella
- Department Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100 Caserta, Italy
| | - Giuseppina Crescente
- Department Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100 Caserta, Italy
| | - Lorenzo Candela
- Department Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100 Caserta, Italy
| | - Severina Pacifico
- Department Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100 Caserta, Italy.
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Iacobucci C, Suder P, Bodzon‐Kulakowska A, Antolak A, Silberring J, Smoluch M, Mielczarek P, Grasso G, Pawlaczyk A, Szynkowska MI, Tuccitto N, Stefanowicz P, Szewczuk Z, Natale G. Instrumentation. Mass Spectrom (Tokyo) 2019. [DOI: 10.1002/9781119377368.ch4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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32
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Enomoto H, Takeda S, Hatta H, Zaima N. Tissue-Specific Distribution of Sphingomyelin Species in Pork Chop Revealed by Matrix-Assisted Laser Desorption/Ionization-Imaging Mass Spectrometry. J Food Sci 2019; 84:1758-1763. [PMID: 31206696 DOI: 10.1111/1750-3841.14667] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 04/20/2019] [Accepted: 04/30/2019] [Indexed: 01/10/2023]
Abstract
Sphingomyelin (SM) species are major sphingolipids in pork meat that affect quality parameters, such as health benefits due to their protective properties against chronic diseases; however, their spatial distribution remains unclear. We used matrix-assisted laser desorption/ionization (MALDI)-imaging mass spectrometry (IMS) to investigate the distribution and composition of SM species in pork chop consisting of longissimus thoracis et lumborum muscle (loin), intermuscular fat tissue, transparent tissue, and spinalis muscle. Four SM species were identified by liquid chromatography-electrospray ionization-tandem MS (MS/MS) and MALDI-MS/MS and visualized using MALDI-IMS. SM species containing stearic acid were predominantly distributed in the loin and spinalis muscle, whereas SM species containing palmitic, lignoceric, and nervonic acids were predominantly distributed in transparent tissue. These results indicated that the distribution of SM species differed among the pork tissues, depending on the tissue-specific fatty acid composition. The total amount including all identified SM species was higher in the loin than in spinalis muscle. Pork is reportedly associated with increased risk for chronic diseases due to the high amount of heme iron. From the observation of color, the amount of heme iron was lower in loin than in spinalis muscle. Thus, the degree of risk for chronic diseases might be lower in the loin than in spinalis muscle. This is the first report on the tissue-specific distribution of SM species in meat at a microscopic resolution using IMS. MALDI-IMS analysis may be useful in assessing the association between SM species and quality parameters of pork meat. PRACTICAL APPLICATION: Sphingomyelin (SM) species are major sphingolipids in pork meat. SM species affect quality parameters such as health benefits due to their protective properties against colon cancer and atherosclerosis. Matrix-assisted laser desorption/ionization-imaging mass spectrometry analysis combined with liquid chromatography-electrospray ionization-tandem mass spectrometry is a suitable method to directly investigate the distribution and composition of SM species at microscopic level among different tissues of pork meat. Therefore, this method is useful to assess the SM species-induced health effect of different tissues of pork meat.
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Affiliation(s)
- Hirofumi Enomoto
- Dept. of Biosciences, Faculty of Science and Engineering, Teikyo Univ., Utsunomiya, 320-8551, Japan.,Div. of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo Univ., Utsunomiya, 320-8551, Japan.,Advanced Instrumental Analysis Center, Teikyo Univ., Utsunomiya, 320-8551, Japan
| | - Shiro Takeda
- Dept. of Animal Science and Biotechnology, School of Veterinary Medicine, Azabu Univ., Sagamihara, 252-5201, Japan
| | - Hajime Hatta
- Dept. of Food and Nutrition, Faculty of Home Economics, Kyoto Women's Univ., Kyoto, 605-8501, Japan
| | - Nobuhiro Zaima
- Dept. of Applied Biological Chemistry, Graduate School of Agriculture, Kindai Univ., Nara, 631-8505, Japan.,Agricultural Technology and Innovation Research Inst., Kindai Univ., Nara, 631-8505, Japan
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Optimization of MALDI-TOF mass spectrometry imaging for the visualization and comparison of peptide distributions in dry-cured ham muscle fibers. Food Chem 2019; 283:275-286. [DOI: 10.1016/j.foodchem.2018.12.126] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 12/29/2018] [Accepted: 12/29/2018] [Indexed: 01/02/2023]
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34
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Neagu AN. Proteome Imaging: From Classic to Modern Mass Spectrometry-Based Molecular Histology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:55-98. [PMID: 31347042 DOI: 10.1007/978-3-030-15950-4_4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In order to overcome the limitations of classic imaging in Histology during the actually era of multiomics, the multi-color "molecular microscope" by its emerging "molecular pictures" offers quantitative and spatial information about thousands of molecular profiles without labeling of potential targets. Healthy and diseased human tissues, as well as those of diverse invertebrate and vertebrate animal models, including genetically engineered species and cultured cells, can be easily analyzed by histology-directed MALDI imaging mass spectrometry. The aims of this review are to discuss a range of proteomic information emerging from MALDI mass spectrometry imaging comparative to classic histology, histochemistry and immunohistochemistry, with applications in biology and medicine, concerning the detection and distribution of structural proteins and biological active molecules, such as antimicrobial peptides and proteins, allergens, neurotransmitters and hormones, enzymes, growth factors, toxins and others. The molecular imaging is very well suited for discovery and validation of candidate protein biomarkers in neuroproteomics, oncoproteomics, aging and age-related diseases, parasitoproteomics, forensic, and ecotoxicology. Additionally, in situ proteome imaging may help to elucidate the physiological and pathological mechanisms involved in developmental biology, reproductive research, amyloidogenesis, tumorigenesis, wound healing, neural network regeneration, matrix mineralization, apoptosis and oxidative stress, pain tolerance, cell cycle and transformation under oncogenic stress, tumor heterogeneity, behavior and aggressiveness, drugs bioaccumulation and biotransformation, organism's reaction against environmental penetrating xenobiotics, immune signaling, assessment of integrity and functionality of tissue barriers, behavioral biology, and molecular origins of diseases. MALDI MSI is certainly a valuable tool for personalized medicine and "Eco-Evo-Devo" integrative biology in the current context of global environmental challenges.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania.
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Fanuel M, Ropartz D, Guillon F, Saulnier L, Rogniaux H. Distribution of cell wall hemicelluloses in the wheat grain endosperm: a 3D perspective. PLANTA 2018; 248:1505-1513. [PMID: 30140977 DOI: 10.1007/s00425-018-2980-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 08/09/2018] [Indexed: 06/08/2023]
Abstract
Uneven distribution of AX and BG in lateral and longitudinal dimensions of a wheat grain was observed by three-dimensional MS imaging, presumably related to specific physicochemical properties of cell walls. Arabinoxylans (AX) and β-glucans (BG) are the main hemicelluloses that comprise the primary walls of starchy endosperm. These components are not evenly distributed in the endosperm, and the impact of their distribution on cell wall properties is not yet fully understood. Combined with on-tissue enzymatic degradation of the cell walls, mass spectrometry imaging (MSI) was used to monitor the molecular structure of AX and BG in thirty consecutive cross-sections of a mature wheat grain. A 3D image was built from the planar images, showing the distribution of these polymers at the full-grain level, both in lateral and longitudinal dimensions. BGs were more abundant at the vicinity of the germ and in the central cells of the endosperm, while AX, and especially highly substituted AX, were more abundant close to the brush and in the cells surrounding the crease (i.e., the transfer cells). Compared with the previously reported protocol, significant improvements were made in the tissue preparation to better preserve the shape of the fragile sections. This allowed to us achieve a good-quality 3D reconstruction from the consecutive 2D images. By providing a continuous view of the molecular distribution of the cell wall components across and along the grain, the three-dimensional images obtained by MSI may help understand the structure-function relationships of cell walls. The method should be readily extendable to other parietal polymers by selecting the appropriate enzymes.
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Affiliation(s)
- Mathieu Fanuel
- INRA, UR1268 Biopolymers Interactions Assemblies, 44316, Nantes, France
| | - David Ropartz
- INRA, UR1268 Biopolymers Interactions Assemblies, 44316, Nantes, France
| | - Fabienne Guillon
- INRA, UR1268 Biopolymers Interactions Assemblies, 44316, Nantes, France
| | - Luc Saulnier
- INRA, UR1268 Biopolymers Interactions Assemblies, 44316, Nantes, France
| | - Hélène Rogniaux
- INRA, UR1268 Biopolymers Interactions Assemblies, 44316, Nantes, France.
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Daguer H, Hoff RB, Molognoni L, Kleemann CR, Felizardo LV. Outbreaks, toxicology, and analytical methods of marine toxins in seafood. Curr Opin Food Sci 2018. [DOI: 10.1016/j.cofs.2018.10.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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37
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Differences in peptide oxidation between muscles in 12 months Spanish dry-cured ham. Food Res Int 2018; 109:343-349. [DOI: 10.1016/j.foodres.2018.04.045] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 04/18/2018] [Accepted: 04/20/2018] [Indexed: 11/24/2022]
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38
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Enomoto H, Sato K, Miyamoto K, Ohtsuka A, Yamane H. Distribution Analysis of Anthocyanins, Sugars, and Organic Acids in Strawberry Fruits Using Matrix-Assisted Laser Desorption/Ionization-Imaging Mass Spectrometry. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:4958-4965. [PMID: 29696977 DOI: 10.1021/acs.jafc.8b00853] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Anthocyanins, sugars, and organic acids contribute to the appearance, health benefits, and taste of strawberries. However, their spatial distribution in the ripe fruit has been fully unrevealed. Therefore, we performed matrix-assisted laser desorption/ionization, MALDI-IMS, analysis to investigate their spatial distribution in ripe strawberries. The detection sensitivity was improved by using the TM-Sprayer for matrix application. In the receptacle, pelargonidins were distributed in the skin, cortical, and pith tissues, whereas cyanidins and delphinidins were slightly localized in the skin. In the achene, mainly cyanidins were localized in the outside of the skin. Citric acid was mainly distributed in the upper and bottom side of cortical tissue. Although hexose was distributed almost equally throughout the fruits, sucrose was mainly distributed in the upper side of cortical and pith tissues. These results suggest that using the TM-Sprayer in MALDI-IMS was useful for microscopic distribution analysis of anthocyanins, sugars, and organic acids in strawberries.
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Affiliation(s)
| | | | | | - Akira Ohtsuka
- Department of Agricultural Sciences and Natural Resources, Faculty of Agriculture , Kagoshima University , Kagoshima 890-0065 , Japan
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Rae Buchberger A, DeLaney K, Johnson J, Li L. Mass Spectrometry Imaging: A Review of Emerging Advancements and Future Insights. Anal Chem 2018; 90:240-265. [PMID: 29155564 PMCID: PMC5959842 DOI: 10.1021/acs.analchem.7b04733] [Citation(s) in RCA: 559] [Impact Index Per Article: 93.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Amanda Rae Buchberger
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States
| | - Jillian Johnson
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, Wisconsin 53705, United States
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, Wisconsin 53706, United States
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, Wisconsin 53705, United States
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Fujimura Y, Miura D, Tachibana H. A Phytochemical-Sensing Strategy Based on Mass Spectrometry Imaging and Metabolic Profiling for Understanding the Functionality of the Medicinal Herb Green Tea. Molecules 2017; 22:molecules22101621. [PMID: 28953237 PMCID: PMC6151411 DOI: 10.3390/molecules22101621] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 09/25/2017] [Accepted: 09/25/2017] [Indexed: 11/25/2022] Open
Abstract
Low-molecular-weight phytochemicals have health benefits and reduce the risk of diseases, but the mechanisms underlying their activities have remained elusive because of the lack of a methodology that can easily visualize the exact behavior of such small molecules. Recently, we developed an in situ label-free imaging technique, called mass spectrometry imaging, for visualizing spatially-resolved biotransformations based on simultaneous mapping of the major bioactive green tea polyphenol and its phase II metabolites. In addition, we established a mass spectrometry-based metabolic profiling technique capable of evaluating the bioactivities of diverse green tea extracts, which contain multiple phytochemicals, by focusing on their compositional balances. This methodology allowed us to simultaneously evaluate the relative contributions of the multiple compounds present in a multicomponent system to its bioactivity. This review highlights small molecule-sensing techniques for visualizing the complex behaviors of herbal components and linking such information to an enhanced understanding of the functionalities of multicomponent medicinal herbs.
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Affiliation(s)
- Yoshinori Fujimura
- Division of Applied Biological Chemistry, Department of Bioscience and Biotechnology, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.
| | - Daisuke Miura
- Division of Applied Biological Chemistry, Department of Bioscience and Biotechnology, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.
| | - Hirofumi Tachibana
- Division of Applied Biological Chemistry, Department of Bioscience and Biotechnology, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan.
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Autofocusing MALDI mass spectrometry imaging of tissue sections and 3D chemical topography of nonflat surfaces. Nat Methods 2017; 14:1156-1158. [DOI: 10.1038/nmeth.4433] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 07/31/2017] [Indexed: 12/11/2022]
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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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In situ monitoring of molecular changes during cell differentiation processes in marine macroalgae through mass spectrometric imaging. Anal Bioanal Chem 2017; 409:4893-4903. [PMID: 28600691 DOI: 10.1007/s00216-017-0430-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 05/15/2017] [Accepted: 05/24/2017] [Indexed: 10/19/2022]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) was employed to discriminate between cell differentiation processes in macroalgae. One of the key developmental processes in the algal life cycle is the production of germ cells (gametes and zoids). The gametogenesis of the marine green macroalga Ulva mutabilis (Chlorophyta) was monitored by metabolomic snapshots of the surface, when blade cells differentiate synchronously into gametangia and giving rise to gametes. To establish MSI for macroalgae, dimethylsulfoniopropionate (DMSP), a known algal osmolyte, was determined. MSI of the surface of U. mutabilis followed by chemometric data analysis revealed dynamic metabolomic changes during cell differentiation. DMSP and a total of 55 specific molecular biomarkers, which could be assigned to important stages of the gametogenesis, were detected. Our research contributes to the understanding of molecular mechanisms underlying macroalgal cell differentiation. Graphical abstract Molecular changes during cell differentiation of the marine macroalga Ulva were visualized by matrix assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI).
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A Chemometrics-driven Strategy for the Bioactivity Evaluation of Complex Multicomponent Systems and the Effective Selection of Bioactivity-predictive Chemical Combinations. Sci Rep 2017; 7:2257. [PMID: 28536476 PMCID: PMC5442154 DOI: 10.1038/s41598-017-02499-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 04/11/2017] [Indexed: 11/09/2022] Open
Abstract
Although understanding their chemical composition is vital for accurately predicting the bioactivity of multicomponent drugs, nutraceuticals, and foods, no analytical approach exists to easily predict the bioactivity of multicomponent systems from complex behaviors of multiple coexisting factors. We herein represent a metabolic profiling (MP) strategy for evaluating bioactivity in systems containing various small molecules. Composition profiles of diverse bioactive herbal samples from 21 green tea extract (GTE) panels were obtained by a high-throughput, non-targeted analytical procedure. This employed the matrix-assisted laser desorption ionization–mass spectrometry (MALDI–MS) technique, using 1,5-diaminonaphthalene (1,5-DAN) as the optical matrix for detecting GTE-derived components. Multivariate statistical analyses revealed differences among the GTEs in their antioxidant activity, oxygen radical absorbance capacity (ORAC). A reliable bioactivity-prediction model was constructed to predict the ORAC of diverse GTEs from their compositional balance. This chemometric procedure allowed the evaluation of GTE bioactivity by multicomponent rather than single-component information. The bioactivity could be easily evaluated by calculating the summed abundance of a few selected components that contributed most to constructing the prediction model. 1,5-DAN-MALDI–MS-MP, using diverse bioactive sample panels, represents a promising strategy for screening bioactivity-predictive multicomponent factors and selecting effective bioactivity-predictive chemical combinations for crude multicomponent systems.
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Petras D, Nothias LF, Quinn RA, Alexandrov T, Bandeira N, Bouslimani A, Castro-Falcón G, Chen L, Dang T, Floros DJ, Hook V, Garg N, Hoffner N, Jiang Y, Kapono CA, Koester I, Knight R, Leber CA, Ling TJ, Luzzatto-Knaan T, McCall LI, McGrath AP, Meehan MJ, Merritt JK, Mills RH, Morton J, Podvin S, Protsyuk I, Purdy T, Satterfield K, Searles S, Shah S, Shires S, Steffen D, White M, Todoric J, Tuttle R, Wojnicz A, Sapp V, Vargas F, Yang J, Zhang C, Dorrestein PC. Mass Spectrometry-Based Visualization of Molecules Associated with Human Habitats. Anal Chem 2016; 88:10775-10784. [PMID: 27732780 PMCID: PMC6326777 DOI: 10.1021/acs.analchem.6b03456] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The cars we drive, the homes we live in, the restaurants we visit, and the laboratories and offices we work in are all a part of the modern human habitat. Remarkably, little is known about the diversity of chemicals present in these environments and to what degree molecules from our bodies influence the built environment that surrounds us and vice versa. We therefore set out to visualize the chemical diversity of five built human habitats together with their occupants, to provide a snapshot of the various molecules to which humans are exposed on a daily basis. The molecular inventory was obtained through untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of samples from each human habitat and from the people that occupy those habitats. Mapping MS-derived data onto 3D models of the environments showed that frequently touched surfaces, such as handles (e.g., door, bicycle), resemble the molecular fingerprint of the human skin more closely than other surfaces that are less frequently in direct contact with humans (e.g., wall, bicycle frame). Approximately 50% of the MS/MS spectra detected were shared between people and the environment. Personal care products, plasticizers, cleaning supplies, food, food additives, and even medications that were found to be a part of the human habitat. The annotations indicate that significant transfer of chemicals takes place between us and our built environment. The workflows applied here will lay the foundation for future studies of molecular distributions in medical, forensic, architectural, space exploration, and environmental applications.
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Affiliation(s)
- Daniel Petras
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Louis-Félix Nothias
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Robert A. Quinn
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Theodore Alexandrov
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
- Structural and Computational Biology, EMBL, Meyerhofstr. 1, 69117 Heidelberg, Germany
- SCiLS GmbH, Fahrenheitstr. 1, 28359 Bremen, Germany
| | - Nuno Bandeira
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Department of Computer Science, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Amina Bouslimani
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | | | - Liangyu Chen
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Tam Dang
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
- TU Berlin, Institut für Chemie, Strasse des 17. Juni 124, 10623 Berlin, Germany
| | - Dimitrios J Floros
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Chemistry and Biochemistry, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Vivian Hook
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Neha Garg
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Nicole Hoffner
- UCSD Neurosciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Yike Jiang
- UCSD Biological Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Clifford A. Kapono
- UCSD Chemistry and Biochemistry, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Irina Koester
- Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Rob Knight
- UCSD Department of Computer Science, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Department of Pediatrics, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD center for Microbiome Innovation, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Christopher A Leber
- Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Tie-Jun Ling
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, 130 West Changjiang Rd. Hefei 230036, P. R. China
| | - Tal Luzzatto-Knaan
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Laura-Isobel McCall
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Aaron P. McGrath
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Michael J. Meehan
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Jonathan K. Merritt
- UCSD Neurosciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Robert H. Mills
- UCSD Biomedical Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Jamie Morton
- UCSD Department of Computer Science, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Sonia Podvin
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Ivan Protsyuk
- Structural and Computational Biology, EMBL, Meyerhofstr. 1, 69117 Heidelberg, Germany
| | - Trevor Purdy
- Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Kendall Satterfield
- UCSD Biomedical Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Department of Pharmacology, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Stephen Searles
- UCSD Department of Pathology, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Biomedical Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Sahil Shah
- UCSD Neurosciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Sarah Shires
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Biomedical Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Dana Steffen
- UCSD Biomedical Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Margot White
- Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Jelena Todoric
- UCSD Department of Pharmacology, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Robert Tuttle
- Scripps Institution of Oceanography, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Aneta Wojnicz
- Facultad de Medicina de la Universidad Autónoma de Madrid. Calle del Arzobispo Morcillo 4. 28029 Madrid, Spain
| | - Valerie Sapp
- UCSD Biomedical Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Fernando Vargas
- UCSD Biological Sciences Graduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Jin Yang
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Chao Zhang
- UCSD Bioengineering Undergraduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Mathematics Undergraduate Program, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Pieter C. Dorrestein
- UCSD Collaborative Mass Spectrometry Innovation Center, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences, 9500 Gilman Drive, La Jolla, CA 92093, USA
- UCSD center for Microbiome Innovation, 9500 Gilman Drive, La Jolla, CA 92093, USA
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