Headspace solid-phase microextraction gas chromatography–mass spectrometry determination of volatile compounds in different varieties of African star apple fruit (Chrysophillum albidum)

Abstract

The volatile compounds in four selected African star apple fruit (Chrysophyllum albidum) varieties were isolated and identified using the headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). A total of 59 compounds were identified. Application of the aroma extract dilution analysis (AEDA) to the aroma distillates from the fruits revealed 45 odour-active compounds in the flavour dilution (FD) factor range of 4-128. Among them, the highest odour activities (FD factors) were determined for methylhexanoate, acetophenone and ethyl dodecanoate. Moreover, aroma lipophilicity appears to reflect molecular conformation. Further analysis of the similarities and differences between the fruit varieties in terms of the key odourants by the application of PLS-DA and PLS-regression coefficient showed strong positive correlation between the very sweet/sweet varieties and 10 key odourants. The odourants included ethyl acetate, acetyl methyl carbinol, methylhexanoate, sabinene, p-cymene, methylbenzoate, ethylbenzoate, geraniol, cis-α-bergomotene, acetophenone, and ethyl dodecanoate.

Volatiles and aroma characterization of several lai ( Durio kutejensis ) and durian ( Durio zibethinus ) cultivars grown in Indonesia

“…This technique has been used in modeling sensory and instrumental profiling of apple (Aprea et al, 2012;Lasekan et al, 2013) and white wines (Liu et al, 2015). In our work PLS model was generated to identify characteristics aroma profile of lai and durian cultivars, and their associated volatiles.…”

Identification of aromatic compounds and their sensory characteristics in cassava flakes and “garri” (Manihot esculentaCrantz)

“…Stock standard solutions of 10 3 or 10 4 µg/mL of each component were prepared by dissolving the pure standard in ethanol (40%) (Lasekan, Khatib, Juhari, Patiram, & Lasekan, 2013). The samples were stored at 4°C.…”

“…All mass spectra were acquired in electron-impact (EI) mode as described by Lasekan et al (2013). The data acquisition was carried out with the HP-Chemstation Software (A.03.00) and identified using the NIST/NBS75K database.…”

“…For GC-O analysis, an aliquot (2 µL) of the cassava flakes and garri extracts was injected separately into an Agilent 6890 N instrument equipped with a split-split-less injector, an FID, and an ODP 2 (Olfactory Detector Port) (Gerstel, Mulheim, Germany) (Lasekan et al, 2013). The aliquot (2 µL) was separated on a BP X 5 column (30 m × 0.25 mm i.d., 0.25 µm film thickness) (Scientific Instrument Services, Inc., NJ, USA).…”

A predictive method for volatile organic compounds emission from soil: Evaporation and diffusion behavior investigation of a representative component of crude oil

“…Extracting analytes from the headspace above the sample can minimize matrix interferences in environmental samples (such as water, sand, clay, and sludge) and besides being simple, rapid, inexpensive, it is completely solvent-free and easily automated (Zhang and Pawliszyn, 1993). Since its development, the headspace SPME method has been widely used for environmental VOC analysis (Higashikawa et al, 2013;Lasekan et al, 2013;Spietelun et al, 2013;Tian et al, 2013). Subsequently, Ai (1997Ai ( , 1998 proposed a method to address the situation of the non-steady-state mass transfer for the headspace SPME, which was popularly employed later (Psillakis et al, 2012a(Psillakis et al, , 2012b.…”