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Development of a quantitative method for headspace analysis of methylsulfanyl-volatiles from kiwifruit tissue
Authors:Catrin S Günther  Adam J MatichKen B Marsh  Laura Nicolau
Affiliation:
  • a The New Zealand Institute for Plant and Food Research Ltd, Private Bag 92169 Auckland, New Zealand
  • b The New Zealand Institute for Plant and Food Research Ltd, Private Bag 11600 Palmerston North, New Zealand
  • c Department of Chemistry, the University of Auckland, Private Bag 92019, Auckland, New Zealand
  • Abstract:Minor fruit volatiles are likely to be missed using sampling techniques optimized for the extraction of major compounds. This can be a disadvantage if these minor compounds contribute to characteristic fruit flavors. In this comparative study, headspace solid-phase microextraction (HS-SPME) and dynamic headspace sampling (DHS) parameters were systematically optimized to ensure highest extraction yields of methylsulfanyl-volatiles from kiwifruit tissue samples. A significant “salting-out” effect from the fruit matrix was observed using both sampling techniques after (NH4)2SO4 saturation. HS-SPME at optimized conditions (polydimethylsiloxane-divinylbenzene-coated fiber, (NH4)2SO4 saturation, 5 min equilibration and 20 min sampling at 40 °C) was faster and more convenient to use than DHS for qualitative purposes. Despite this, the qualitative and quantitative methylsulfanyl-volatile profile was improved using optimized DHS ((NH4)2SO4 saturation; sampling time 20 h; flow rate 30 mL min− 1) compared with HS-SPME, making this the more sensitive and preferred method for quantitative studies. The optimization strategies for increasing headspace extraction yields of trace compounds presented in this study can easily be applied to tissue samples from other fruit.
    Keywords:CW-DVB  carbowax-divinylbenzene  DHS  dynamic headspace sampling  DTD  direct thermal desorption  HSD  honestly significant difference  HS-SPME  headspace solid-phase microextraction  LODappr  approximate limit of detection  MeS  methylsulfanyl  PDMS-DVB  polydimethylsiloxane-divinylbenzene  RSD  relative standard deviation
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