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Strawberry Trees (Arbutus unedo L.) Naturally Grown in Morocco: A Combined Study Using Headspace Solid Phase Microextraction Coupled with GC-MS and Physico-Morphological Screening
ACS Food Science & Technology ( IF 2.6 ) Pub Date : 2021-06-01 , DOI: 10.1021/acsfoodscitech.1c00010
Hafida Zitouni 1 , Marie L. Fauconnier 2 , Lahcen Hssaini 3 , Manuel Viuda-Martos 4 , Francisca Hernández 5 , Sezai Ercisli 6 , Messaoudi Zerhoune 7 , Driss Elothmani 8 , Said Ennahli 7 , Hafida Hanine 1
Affiliation  

The phenotypic diversity of the strawberry tree (Arbutus unedo L.) has largely gone unheeded for many reasons, some of which have to do with its wild aspect, since it still naturally grows in the mountains and remains poorly exploited. In this regard, this study aims to investigate the phenotypic diversity within strawberry tree genotypes widely grown in Morocco, based on their physico-morphological properties and volatile compounds. Significant variability was observed among investigated genotypes for all traits with the exception of the peduncle weight. Fructose content was 20.40 g/100 g, while glucose and sucrose averaged 15.74 and 17.83 g/100 g dry weight, respectively. Headspace solid phase microextraction coupled with gas chromatography–mass spectrometry analysis identified a total of 28 volatile compounds in strawberry tree fruits. Chemometric evaluation using the principal component analysis model was used to determine the most discriminant traits among the data set. Regarding morphological attributes, fruit geometric traits (length, width, and weight), leaf weight, flower length, blade, and leaf length had the highest contribution the total variance explained; whereas, soluble solids and pH were the greatest contributors of physicochemical attributes to the model. Finally, among volatile compounds, dodecanoic acid, tetradecanoic acid, N-ethyl-1,3-dithioisoindoline, 1H-indole, and phenol captured the highest variance in the model. The combination of physico-morphological traits and volatile compounds proved to be efficient for strawberry tree discrimination and classification.

中文翻译:

摩洛哥自然生长的草莓树 ( Arbutus unedo L.):使用顶空固相微萃取结合 GC-MS 和物理形态学筛选的联合研究

草莓树(Arbutus unedo )的表型多样性L.)在很大程度上被忽视了,原因有很多,其中一些与它的野性有关,因为它仍然自然生长在山上,并且仍然没有得到很好的利用。在这方面,本研究旨在根据其物理形态特性和挥发性化合物,调查在摩洛哥广泛种植的草莓树基因型的表型多样性。除了花序梗重量外,在所有性状的研究基因型中都观察到了显着的变异性。果糖含量为 20.40 克/100 克,而葡萄糖和蔗糖的平均干重分别为 15.74 和 17.83 克/100 克。顶空固相微萃取结合气相色谱-质谱分析共鉴定出草莓树果实中的 28 种挥发性化合物。使用主成分分析模型的化学计量学评估用于确定数据集中最具辨别力的特征。关于形态属性,果实几何性状(长、宽、重)、叶重、花长、叶片和叶长对总方差的贡献最大;而可溶性固体和 pH 值是模型物理化学属性的最大贡献者。最后,在挥发性化合物中,十二烷酸、十四烷酸、可溶性固体和 pH 值是模型物理化学属性的最大贡献者。最后,在挥发性化合物中,十二烷酸、十四烷酸、可溶性固体和 pH 值是模型物理化学属性的最大贡献者。最后,在挥发性化合物中,十二烷酸、十四烷酸、N-乙基-1,3-二硫代异二氢吲哚、1 H-吲哚和苯酚在模型中捕获了最高的方差。物理形态特征和挥发性化合物的组合被证明是草莓树鉴别和分类的有效方法。
更新日期:2021-06-18
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