Investigating the Potential of Ion Mobility-Mass Spectrometry for Microalgae Biomass Characterization
Abstract
Algae biomass is formed by an extremely complex set of metabolites, and its molecular characterization has been very challenging. We report the characterization of microalgae extracts via traveling wave ion mobility–mass spectrometry (TWIM-MS) by two different analysis strategies. First, the extracts were analyzed by direct infusion electrospray ionization (ESI) with no previous chromatographic separation (DI-ESI-TWIM-MS). Second, the samples were screened for metabolites and lipids using an untargeted high-throughput method that employs ultrahigh-performance liquid chromatography (UHPLC) using data-independent analysis (DIA) – MS E (UHPLC-HDMS E ). Sixteen different microalgae biomasses were evaluated by both strategies. DI-ESI-TWIM-MS was able, via distinct drift times, to set apart different classes of metabolites, with the differences in the profiles of each microalga readily evident. With the UHPLC-HDMS E approach, 1251 different compounds were putatively annotated across 16 samples with 210 classified as lipids. From the normalized abundance for each annotated compound category, a detailed profiling in terms of metabolites, lipids, and lipid classes of each sample was performed. The reported workflow represents a powerful tool to determine the most suitable biotechnological applications for a given alga type and may allow for real-time monitoring of the algae composition distribution as a function of growth conditions, feedstocks, and the like. The determination of collision cross section results in improved confidence in the identification of triacylglycerols in samples, highly applicable to biofuels production. The two analysis strategies explored in this work offer powerful tools for the biomass industry by aiding in the identification of ideal strains and culture conditions for a specific application, saving analysis time and facilitating identification of a large number of constituents at once.
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Microalgae biomass comprises complex sets of metabolites, making its molecular characterization intensive.
“Furthermore, microalgae biomass comprises complex sets of metabolites, which makes its molecular characterization intensive [70].”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [70]
TWIM-MS in combination with UHPLC-HDMS has been applied for the characterization of microalgae using data-independent analysis.
“Traveling wave ion mobility–mass spectrometry (TWIM–MS) in combination with ultrahigh-performance liquid chromatography–high definition mass spectrometry (UHPLC-HDMS) has also been applied for the characterization of microalgae using data-independent analysis [70].”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [70]
The approach demonstrated the efficiency of the statistical and binary comparison methods for screening lipids and metabolites.
“The approach applied in this study demonstrated the efficiency of the statistical and binary comparison methods for screening lipids and metabolites.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [70]
The analysis strategy offers a powerful tool for the microalgae industry by aiding in the identification of ideal strains and culture conditions for biofuel production, saving analysis time and facilitating identification of a large number of constituents at once.
“The analysis strategy explored in this work offers a powerful tool for the microalgae industry by aiding in the identification of ideal strains and culture conditions for application in the production of biofuels, saving analysis time and facilitating identification of a large number of constituents at once.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [70]
From the 16 analyzed samples, it was possible to annotate 1251 compounds, with 210 classified as lipids.
“From the 16 analyzed samples, it was possible to annotate 1251 compounds, with 210 classified as lipids.”
From Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity (2019) · cites this paper as [70]
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- Authors
- Fasciotti, M., Souza, G. H. M. F., Astarita, G., Costa, I. C. R., Monteiro, T. V. C., Teixeira, C. M. L. L., Eberlin, M. N., & Sarpal, A. S.
- Affiliations
- Universidade Estadual de Campinas (UNICAMP) (BR)
- MS Applications and Development Laboratory, Waters Corporation, 06455-000 Barueri, São Paulo, Brazil
- Georgetown University (US)
- Instituto Nacional de Metrologia, Qualidade e Tecnologia (BR)
- National Institute of Metrology, Quality and Technology (INMETRO), Division of Chemical and Thermal Metrology, Laboratory of Organic Analysis, 25250-020, Duque de Caxias, Rio de Janeiro, Brazil
- Microalgal Biotechnology Laboratory, National Institute of Technology (INT), 20081-312 Rio de Janeiro, Rio de Janeiro, Brazil
- Universidade Presbiteriana Mackenzie (BR)
- Corresponding author
- Fasciotti, Maíra
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-05-31
- Volume
- 91
- Issue
- 14
- Pages
- 9266-9276
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2946916209
- Cited by
- 15
- References
- 70
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 1 · 2019: 3
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Analytical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Keywords
- microalgal biomass, untargeted metabolomics, lipidomics, triglycerides, collision cross sections
- MeSH terms
- Ion Mobility Spectrometry, Lipidomics, Chromatography, High Pressure Liquid, Lipids, Biomass, Spectrometry, Mass, Electrospray Ionization, Metabolomics, Metabolome, Microalgae
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