« Previous AbstractThermal desorption for remediation of contaminated soil: A review    Next Abstract"Substrate specificity of acetyltransferase and reductase enzyme systems used in pheromone biosynthesis by Asian corn borer,Ostrinia furnacalis" »

Foods

Title:		Volatile Compounds Analysis and Biomarkers Identification of Four Native Apricot (Prunus armeniaca L.) Cultivars Grown in Xinjiang Region of China
Author(s):		Zhao C; Sun J; Pu X; Shi X; Cheng W; Wang B;
Address:		"Food College, Shihezi University, Xinjiang Uygur Autonomous Region, Shihezi 832000, China"
Journal Title:		Foods
Year:		2022
Volume:		20220801
Issue:		15
Page Number:		-
DOI:		10.3390/foods11152297
ISSN/ISBN:		2304-8158 (Print) 2304-8158 (Electronic) 2304-8158 (Linking)
Abstract:		"Flavor (odor and taste) have a significant role in the consumer's acceptance, and volatile compounds are responsible for the odor of apricots. In the present work, headspace solid-phase microextraction with gas chromatography coupled to tandem mass spectrometry (HS-SPME-GC-MS/MS) together with multivariate analysis, i.e., partial least square discrimination analysis (PLS-DA), were applied to construct the volatile fingerprints and biomarkers of apricots in Xinjiang, China. As a result, a total of 63 volatile substances were identified in the fruits of four apricot cultivars, seven of which were considered to serve as volatile biomarkers, which are damascenone for Dabaiyou apricots; acetophenone, myrcenol and 7-hexadecenal for Luopuhongdaike apricots; 2,4-dimethyl-cyclohexanol for You apricots; eucalyptol and salicylaldehyde for Xiaobai apricots. Moreover, Xiaobai apricots were richer in soluble sugars, organic acids and total phenolic and total flavonoid content than the other three apricot varieties. This work helps to characterize the volatile profiles and biomarkers of different apricot cultivars while providing theoretical guidance for developing apricot-flavored foods in practical production"
Keywords:		Hs-spme-gc-ms/ms apricot (Prunus armeniaca L.) biomarkers multivariate analysis volatiles;
Notes:		"PubMed-not-MEDLINEZhao, Cai Sun, Jinkui Pu, Xilei Shi, Xuewei Cheng, Weidong Wang, Bin eng No. 31960465/National Natural Science Foundation of China/ No. 31560446/National Natural Science Foundation of China/ No. 31800828/National Natural Science Foundation of China/ No. 2019AB025/Xinjiang Production and Construction Corps/ No. 2020AB014/Xinjiang Production and Construction Corps/ Switzerland 2022/08/13 Foods. 2022 Aug 1; 11(15):2297. doi: 10.3390/foods11152297"