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Bianco M, Ventura G, Coniglio D, Monopoli A, Losito I, Cataldi TRI, Calvano CD. Development of a New Binary Matrix for the Comprehensive Analysis of Lipids and Pigments in Micro- and Macroalgae Using MALDI-ToF/ToF Mass Spectrometry. Int J Mol Sci 2024; 25:5919. [PMID: 38892117 PMCID: PMC11172705 DOI: 10.3390/ijms25115919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 05/27/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
While edible algae might seem low in fat, the lipids they contain are crucial for good health and preventing chronic diseases. This study introduces a binary matrix to analyze all the polar lipids in both macroalgae (Wakame-Undaria pinnatifida, Dulse-Palmaria palmata, and Nori-Porphyra spp.) and microalgae (Spirulina-Arthrospira platensis, and Chlorella-Chlorella vulgaris) using matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS). The key lies in a new dual matrix made by combining equimolar amounts of 1,5-diaminonaphthalene (DAN) and 9-aminoacridine (9AA). This combination solves the limitations of single matrices: 9AA is suitable for sulfur-containing lipids and acidic phospholipids, while DAN excels as an electron-transfer secondary reaction matrix for intact chlorophylls and their derivatives. By employing the equimolar binary matrix, a wider range of algal lipids, including free fatty acids, phospholipids, glycolipids, pigments, and even rare arsenosugarphospholipids were successfully detected, overcoming drawbacks related to ion suppression from readily ionizable lipids. The resulting mass spectra exhibited a good signal-to-noise ratio at a lower laser fluence and minimized background noise. This improvement stems from the binary matrix's ability to mitigate in-source decay effects, a phenomenon often encountered for certain matrices. Consequently, the data obtained are more reliable, facilitating a faster and more comprehensive exploration of algal lipidomes using high-throughput MALDI-MS/MS analysis.
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Affiliation(s)
- Mariachiara Bianco
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
| | - Giovanni Ventura
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
- Centro Interdipartimentale di Spettrometria di MAssa per Ricerche Tecnologiche (SMART), Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy
| | - Davide Coniglio
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
| | - Antonio Monopoli
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
| | - Ilario Losito
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
- Centro Interdipartimentale di Spettrometria di MAssa per Ricerche Tecnologiche (SMART), Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy
| | - Tommaso R. I. Cataldi
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
- Centro Interdipartimentale di Spettrometria di MAssa per Ricerche Tecnologiche (SMART), Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy
| | - Cosima D. Calvano
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy; (M.B.); (G.V.); (D.C.); (A.M.); (I.L.); (T.R.I.C.)
- Centro Interdipartimentale di Spettrometria di MAssa per Ricerche Tecnologiche (SMART), Università degli Studi di Bari Aldo Moro, Campus Universitario, Via E. Orabona, 4, 70126 Bari, Italy
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Leopold J, Prabutzki P, Engel KM, Schiller J. A Five-Year Update on Matrix Compounds for MALDI-MS Analysis of Lipids. Biomolecules 2023; 13:biom13030546. [PMID: 36979481 PMCID: PMC10046246 DOI: 10.3390/biom13030546] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/11/2023] [Accepted: 03/12/2023] [Indexed: 03/19/2023] Open
Abstract
Matrix-assisted laser desorption and ionization (MALDI) is a widely used soft-ionization technique of modern mass spectrometry (MS). MALDI enables the analysis of nearly all chemical compounds—including polar and apolar (phospho)lipids—with a minimum extent of fragmentation. MALDI has some particular advantages (such as the possibility to acquire spatially-resolved spectra) and is competitive with the simultaneously developed ESI (electrospray ionization) MS. Although there are still some methodological aspects that need to be elucidated in more detail, it is obvious that the careful selection of an appropriate matrix plays the most important role in (lipid) analysis. Some lipid classes can be detected exclusively if the optimum matrix is used, and the matrix determines the sensitivity by which a particular lipid is detected within a mixture. Since the matrix is, thus, crucial for optimum results, we provide here an update on the progress in the field since our original review in this journal in 2018. Thus, only the development during the last five years is considered, and lipids are sorted according to increasing complexity, starting with free fatty acids and ending with cardiolipins and phosphoinositides.
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Dastmalchi F, Xu K, Jones H, Lemas DJ. Assessment of human milk in the era of precision health. Curr Opin Clin Nutr Metab Care 2022; 25:292-297. [PMID: 35838294 PMCID: PMC9710510 DOI: 10.1097/mco.0000000000000860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Precision health provides an unprecedented opportunity to improve the assessment of infant nutrition and health outcomes. Breastfeeding is positively associated with infant health outcomes, yet only 58.3% of children born in 2017 were still breastfeeding at 6 months. There is an urgent need to examine the application of precision health tools that support the development of public health interventions focused on improving breastfeeding outcomes. RECENT FINDINGS In this review, we discussed the novel and highly sensitive techniques that can provide a vast amount of omics data and clinical information just by evaluating small volumes of milk samples, such as RNA sequencing, cytometry by time-of-flight, and human milk analyzer for clinical implementation. These advanced techniques can run multiple samples in a short period of time making them ideal for the routine clinical evaluation of milk samples. SUMMARY Precision health tools are increasingly used in clinical research studies focused on infant nutrition. The integration of routinely collected multiomics human milk data within the electronic health records has the potential to identify molecular biomarkers associated with infant health outcomes.
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Affiliation(s)
- Farhad Dastmalchi
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, United States of America
| | - Ke Xu
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, United States of America
| | - Helen Jones
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, United States of America
- Center for Research in Perinatal Outcomes, University of Florida, Gainesville, FL, United States of America
- Department of Obstetrics & Gynecology, University of Florida College of Medicine, Gainesville, Florida
| | - Dominick J Lemas
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, United States of America
- Center for Research in Perinatal Outcomes, University of Florida, Gainesville, FL, United States of America
- Department of Obstetrics & Gynecology, University of Florida College of Medicine, Gainesville, Florida
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