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顶空固相微萃取/气相色谱-质谱联用技术对椰子酱浓缩过程中挥发性成分及标志物的表征

Characterization of Volatile Profiles and Marker Substances by HS-SPME/GC-MS during the Concentration of Coconut Jam.

作者信息

Zhang Hao, Chen Haiming, Wang Wenzhu, Jiao Wenxiao, Chen Wenxue, Zhong Qiuping, Yun Yong-Huan, Chen Weijun

机构信息

College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.

Chunguang Agro-Product Processing Institute, Wenchang 571333, China.

出版信息

Foods. 2020 Mar 17;9(3):347. doi: 10.3390/foods9030347.

Abstract

Characteristic aromas are usually key labels for food products. In this study, the volatile profiles and marker substances of coconut jam during concentration were characterized via sensory evaluation combined with headspace solid phase microextraction-gas chromatography-tandem mass spectrometry (HSPME/GC-MS). A total of 33 aroma compounds were detected by HSPME/GC-MS. Principal component analysis revealed the concentration process of coconut jam can be divided into three stages. In the first stage, esters and alcohols were the two main contributors to the aroma of the coconut jam. Next, a caramel smell was gradually formed during the second stage, which was mainly derived from aldehydes, ketones and alcohols. The concentration of aldehydes increased gradually at this stage, which may be the result of a combination of the Maillard reaction and the caramelization reaction. In the final sterilization stage, the 'odor intensity' of caramel reached the maximum level and a variety of aroma compounds were produced, thereby forming a unique flavor for the coconut jam. Finally, furfural fit a logistic model with a regression coefficient () of 0.97034. Therefore, furfural can be used as a marker substance for monitoring the concentration of coconut jam.

摘要

特征香气通常是食品的关键标签。在本研究中,通过感官评价结合顶空固相微萃取-气相色谱-串联质谱法(HSPME/GC-MS)对椰子酱浓缩过程中的挥发性成分和标志物进行了表征。通过HSPME/GC-MS共检测到33种香气化合物。主成分分析表明,椰子酱的浓缩过程可分为三个阶段。在第一阶段,酯类和醇类是椰子酱香气的两个主要贡献成分。接下来,在第二阶段逐渐形成焦糖气味,主要来源于醛类、酮类和醇类。在此阶段醛类浓度逐渐增加,这可能是美拉德反应和焦糖化反应共同作用的结果。在最后的杀菌阶段,焦糖的“气味强度”达到最高水平,并产生了多种香气化合物,从而形成了椰子酱独特的风味。最后,糠醛符合逻辑模型,回归系数()为0.97034。因此,糠醛可作为监测椰子酱浓缩程度的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cc1/7142570/e1007d6d5b4f/foods-09-00347-g001.jpg

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