Optimizing accelerated solvent extraction combined with liquid chromatography-Orbitrap mass spectrometry for efficient lipid profile characterization of mozzarella cheese. (15th November 2022)
- Record Type:
- Journal Article
- Title:
- Optimizing accelerated solvent extraction combined with liquid chromatography-Orbitrap mass spectrometry for efficient lipid profile characterization of mozzarella cheese. (15th November 2022)
- Main Title:
- Optimizing accelerated solvent extraction combined with liquid chromatography-Orbitrap mass spectrometry for efficient lipid profile characterization of mozzarella cheese
- Authors:
- Mentana, Annalisa
Zianni, Rosalia
Campaniello, Maria
Tomaiuolo, Michele
Chiappinelli, Andrea
Iammarino, Marco
Nardelli, Valeria - Abstract:
- Graphical abstract: Highlights: An efficient ASE procedure was developed for lipid profile of mozzarella. LipidSearch™ software was successfully used for lipid identification in mozzarella. Response surface methodology was employed to define the best ASE conditions. The extraction efficiency was principally linked to the MTBE/Cyclohexane ratio. The contribution of ASE and Folch methods for exhaustive lipid profile was assessed. Abstract: In this study, a novel Accelerated Solvent Extraction (ASE) procedure combined with UHPLC-Q-Orbitrap-MS was developed for detailed untargeted lipid profile of mozzarella cheese. Response Surface Methodology and Pareto front, using a Central Composite Design (CCD), were employed to define the optimised combination of extraction temperature, number of extraction cycles and mix of solvents. LipidSearch™ software was used for a reliable and accurate lipid identification. A total of 13 subclasses, including ceramides, diacylglycerols, triacylglycerols, lysophosphatidylcholines, lysophosphatidylethanolamines, phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, sphingomyelins, bismethyl phosphatidic acids, cholesterol ester, zymosterol ester, hexosyl ceramides were measured. The elaboration of the CCD showed that the solvents ratio was the main factor affecting the extraction efficiency. The optimised ASE method, together with the Folch extraction, synergistically contributed to a complete characterization of lipid profile ofGraphical abstract: Highlights: An efficient ASE procedure was developed for lipid profile of mozzarella. LipidSearch™ software was successfully used for lipid identification in mozzarella. Response surface methodology was employed to define the best ASE conditions. The extraction efficiency was principally linked to the MTBE/Cyclohexane ratio. The contribution of ASE and Folch methods for exhaustive lipid profile was assessed. Abstract: In this study, a novel Accelerated Solvent Extraction (ASE) procedure combined with UHPLC-Q-Orbitrap-MS was developed for detailed untargeted lipid profile of mozzarella cheese. Response Surface Methodology and Pareto front, using a Central Composite Design (CCD), were employed to define the optimised combination of extraction temperature, number of extraction cycles and mix of solvents. LipidSearch™ software was used for a reliable and accurate lipid identification. A total of 13 subclasses, including ceramides, diacylglycerols, triacylglycerols, lysophosphatidylcholines, lysophosphatidylethanolamines, phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, sphingomyelins, bismethyl phosphatidic acids, cholesterol ester, zymosterol ester, hexosyl ceramides were measured. The elaboration of the CCD showed that the solvents ratio was the main factor affecting the extraction efficiency. The optimised ASE method, together with the Folch extraction, synergistically contributed to a complete characterization of lipid profile of mozzarella cheese, confirming ASE technique, associated with high resolution mass spectrometry detection, as an efficient tool for Lipidomics in food science. … (more)
- Is Part Of:
- Food chemistry. Volume 394(2022)
- Journal:
- Food chemistry
- Issue:
- Volume 394(2022)
- Issue Display:
- Volume 394, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 394
- Issue:
- 2022
- Issue Sort Value:
- 2022-0394-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11-15
- Subjects:
- ASE -- Lipidomics -- Central composite design -- UHPLC-Q-Orbitrap-MS -- Mozzarella cheese
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2022.133542 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23361.xml