2023
DOI: 10.1002/jsfa.12499
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Contribution of process‐induced molten‐globule state formation in duck liver protein to the enhanced binding ability of (E,E)‐2,4‐heptadienal

Abstract: BACKGROUND Extracted proteins of alternative animal origin tend to present strong off‐flavor perception due to physicochemical interactions of coextracted off‐flavor compounds with proteins. To investigate the relationship between absorption behaviors of volatile aromas and the processes‐induced variations in protein microstructures and molecular conformations, duck liver protein isolate (DLp) was subjected to heating (65/100 °C, 15 min) and ultra‐high pressure (UHP, 100–500 MPa/10 min, 28 °C) treatments to ob… Show more

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Cited by 17 publications
(3 citation statements)
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“…The quadrupole mass detector, ion source, and transfer line temperatures were set to 150, 230, and 280 • C, respectively. The mode of selected ion monitoring (SIM) was utilized for the identification and quantification of analyses, as also mentioned in previous study [3,[22][23][24].…”
Section: Extraction and Analysis Of Volatile Compoundsmentioning
confidence: 99%
“…The quadrupole mass detector, ion source, and transfer line temperatures were set to 150, 230, and 280 • C, respectively. The mode of selected ion monitoring (SIM) was utilized for the identification and quantification of analyses, as also mentioned in previous study [3,[22][23][24].…”
Section: Extraction and Analysis Of Volatile Compoundsmentioning
confidence: 99%
“…GC-MS data were preprocessed using MassHunter Workstation quantitative analysis (v10.0.707.0) software [12]. The metabolites were identified and searched using the Fiehn and NIST public databases, and the data were uploaded to the Majorbio cloud platform for analysis.…”
Section: Analysis Of Volatile Compoundsmentioning
confidence: 99%
“…Untargeted profiling of the metabolites of in vitro cultured HepG2 cells was performed to further confirm the metabolic changes and potential biomarkers associated with glycometabolism and lipid metabolism as influenced by the identified major bioactive components, including neochlorogenic acid, isochlorogenic acid A, and linarin. PCA is an unsupervised data analysis method that utilizes an orthogonal transformation to convert the original random vectors with correlated components into new random vectors with uncorrelated components [27,[29][30][31]. This transformation aims to retain as much of the original variable information as possible, thereby achieving dimensionality reduction.…”
Section: Effects Of the Identified Bioactive Markers On The Cell Meta...mentioning
confidence: 99%