Faculty of Applied Sciences, Universiti Teknologi MARA Pahang, Jengka 26400, Pahang, Malaysia.
Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM), Shah Alam 40450, Selangor, Malaysia.
Molecules. 2018 Sep 16;23(9):2365. doi: 10.3390/molecules23092365.
This study analyzed the volatile organic compounds (VOCs) of three mango varieties (Harumanis, Tong Dam and Susu) for the discrimination of authentic Harumanis from other mangoes. The VOCs of these mangoes were extracted and analysed nondestructively using Head Space-Solid Phase Micro Extraction (HS-SPME) coupled to Gas Chromatography-Mass Spectrometry (GC-MS). Prior to the analytical method, two simple sensory analyses were carried out to assess the ability of the consumers to differentiate between the Harumanis and Tong Dam mangoes as well as their preferences towards these mangoes. On the other hand, chemometrics techniques, such as principal components analysis (PCA), hierarchical clustering analysis (HCA), and discriminant analysis (DA), were used to visualise grouping tendencies of the volatile compounds detected. These techniques were successful in identifying the grouping tendencies of the mango samples according to the presence of their respective volatile compounds, thus enabling the identification of the groups of substances responsible for the discrimination between the authentic and unauthentic Harumanis mangoes. In addition, three ocimene compounds, namely -ocimene, -ocimene, and -ocimene, can be considered as chemical markers of the Harumanis mango, as these compounds exist in all Harumanis mango, regardless the different sources of the mangoes obtained.
本研究分析了三种芒果品种(哈鲁玛尼斯、东当和苏苏)的挥发性有机化合物(VOCs),以鉴别正宗哈鲁玛尼斯与其他芒果。这些芒果的 VOCs 使用顶空固相微萃取(HS-SPME)与气相色谱-质谱联用(GC-MS)进行非破坏性提取和分析。在分析方法之前,进行了两项简单的感官分析,以评估消费者区分哈鲁玛尼斯和东当芒果的能力以及他们对这些芒果的偏好。另一方面,化学计量学技术,如主成分分析(PCA)、层次聚类分析(HCA)和判别分析(DA),用于可视化检测到的挥发性化合物的分组趋势。这些技术成功地根据各自挥发性化合物的存在识别了芒果样品的分组趋势,从而能够识别出区分真假哈鲁玛尼斯芒果的物质组。此外,三种罗勒烯化合物,即β-罗勒烯、γ-罗勒烯和δ-罗勒烯,可以被视为哈鲁玛尼斯芒果的化学标志物,因为这些化合物存在于所有哈鲁玛尼斯芒果中,无论芒果的来源如何。