Qualitative identification of volatile compounds in foods and flowers using passive headspace extraction with activated charcoal fabric

This study investigates the application of passive headspace analysis to several different foods and flowers and compares these results to other published studies. The method demonstrates the applicability of passive headspace analysis for extraction and qualitative analysis of volatile flavor components of citrus fruits and flower blossoms. The method is simple, inexpensive, fast, and provides an alternative to analysis of volatile flavor and fragrance compounds using solid phase microextraction techniques and other extraction techniques.

Chemical and Sensorial Characterization of Scented and Non-Scented Alstroemeria Hybrids

Floral scent plays an important ecological role attracting pollinators. Its composition has been elucidated for a vast diversity of species and is dominated by volatile organic compounds (VOCs) such as monoterpenoids, sesquiterpenoids, phenylpropanoids and benzenoid compounds. Considering that floral scent is also an important character for the ornamental plant market, this study was aimed at characterizing and comparing the molecular composition of scented and non-scented alstroemeria flowers. Confirmation of floral scent was performed through sensorial analysis, while GC-MS analysis detected monoterpenes and esters as major volatile organic compounds (VOCs). A total of 19 and 17 VOCs were detected in the scented hybrids 13M07 and 14E07, respectively. The non-scented hybrid 13B01 shared 14 VOCs with the scented hybrids, although it showed different relative concentrations. Comparison between scented and non-scented hybrids suggests that diversity and amounts of VOCs are likely due to the ecological role of scent, while the human perception of floral scent is not strictly related to the VOC profile.