biostudies-literatureKatugampala Appuhamilage DThe New Zealand Institute for Plant and Food Research Limited's Strategic Science Investment Fund129https://www.ebi.ac.uk/biostudies/studies/S-EPMC11857230biostudies-literatureUnknown15(2)<b>Background/Objectives</b>: This study reports the development of a straightforward, efficient, and cost-effective dispersive liquid-liquid microextraction (DLLME) method for the gas chromatography-mass spectrometry (GC-MS) analysis of volatile compounds present in wine. <b>Methods</b>: Four critical parameters were optimised using a D-optimal design to maximise extraction outcomes of the targeted analytes from a 10 mL sample, while minimising interference from other compounds. The analytical characteristics of the method were assessed using 36 target compounds. <b>Results</b>: The method provided satisfactory linearity (correlation coefficients > 0.990), good repeatability for both for intra- and inter-day measurements (RSD < 10.3%), and suitable recoveries of target analytes from both model (83-110%) and real matrices (80-120%). The validated method was subsequently applied to analyse the aroma profile of 30 New Zealand Pinot noir (PN) wine samples. <b>Conclusions</b>: This study contributes to the advancement of analytical techniques available to both industry and researchers to explore the complex aroma profiles of wines.MetabolitesDevelopment of a Dispersive Liquid-Liquid Microextraction Method for Quantification of Volatile Compounds in Wines Using Gas Chromatography-Mass Spectrometry.PMC11857230SSIF, P/471778/20Fedrizzi BJelley REPilkington LISherman EKatugampala Appuhamilage DPinu FRfalseDevelopment of a Dispersive Liquid-Liquid Microextraction Method for Quantification of Volatile Compounds in Wines Using Gas Chromatography-Mass Spectrometry.<b>Background/Objectives</b>: This study reports the development of a straightforward, efficient, and cost-effective dispersive liquid-liquid microextraction (DLLME) method for the gas chromatography-mass spectrometry (GC-MS) analysis of volatile compounds present in wine. <b>Methods</b>: Four critical parameters were optimised using a D-optimal design to maximise extraction outcomes of the targeted analytes from a 10 mL sample, while minimising interference from other compounds. The analytical characteristics of the method were assessed using 36 target compounds. <b>Results</b>: The method provided satisfactory linearity (correlation coefficients > 0.990), good repeatability for both for intra- and inter-day measurements (RSD < 10.3%), and suitable recoveries of target analytes from both model (83-110%) and real matrices (80-120%). The validated method was subsequently applied to analyse the aroma profile of 30 New Zealand Pinot noir (PN) wine samples. <b>Conclusions</b>: This study contributes to the advancement of analytical techniques available to both industry and researchers to explore the complex aroma profiles of wines.2025-01-01T00:00:00Z2025 Feb2025-04-18T21:20:34.019Z2025-04-07T09:18:49.347ZS-EPMC118572303999775410.3390/metabo15020129