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气相色谱-嗅觉测定法辅助的番木瓜果实挥发性化合物顶空固相微萃取优化

Optimization of headspace solid phase micro-extraction of volatile compounds from papaya fruit assisted by GC-olfactometry.

作者信息

da Rocha Renier Felinto Julião, da Silva Araújo Ídila Maria, de Freitas Sílvia Maria, Dos Santos Garruti Deborah

机构信息

Department of Food Technology, Federal University of Ceará, UFC, Fortaleza, Brazil.

Embrapa Agroindústria Tropical, Fortaleza, Brazil.

出版信息

J Food Sci Technol. 2017 Nov;54(12):4042-4050. doi: 10.1007/s13197-017-2871-6. Epub 2017 Sep 27.

Abstract

Optimization of the extraction conditions to investigate the volatile composition of papaya fruit involving headspace solid phase micro-extraction was carried out using multivariate strategies such as factorial design and response surface methodology. The performance of different combinations of time for reaching the equilibrium in the headspace and time for maximum extraction of volatiles was evaluated by GC-olfactometry of the extract (intensity of papaya characteristic aroma), number of peaks and total area in the chromatogram. Thirty-two compounds were identified by GC-MS under the optimized extraction conditions, the majority of which were aldehydes, both in number of compounds and area. Major compounds were δ-octalactone, β-citral, benzaldehyde, heptanal, benzyl isothiocyanate, isoamyl acetate, γ-octalactone, (E)-linalool oxide and benzyl alcohol. Seven aldehydes and two other compounds are reported for the first time in papaya's volatile profile.

摘要

采用析因设计和响应面法等多变量策略,对涉及顶空固相微萃取的木瓜果实挥发性成分提取条件进行了优化。通过对提取物进行气相色谱 - 嗅觉分析(木瓜特征香气强度)、色谱图中的峰数和总面积,评估了顶空达到平衡的时间和挥发性成分最大提取时间的不同组合的性能。在优化的提取条件下,通过气相色谱 - 质谱联用仪鉴定出32种化合物,其中大多数为醛类,无论是化合物数量还是面积。主要化合物为δ - 辛内酯、β - 柠檬醛、苯甲醛、庚醛、异硫氰酸苄酯、乙酸异戊酯、γ - 辛内酯、(E)-氧化芳樟醇和苯甲醇。七种醛类和其他两种化合物首次在木瓜的挥发性成分中被报道。

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