Headspace solid-phase microextraction-gas chromatography–mass spectrometry for the determination of volatile and semi-volatile substances in sebum as biomarkers for Parkinson's disease

This study analyzed the chemical components of sebum from Parkinson's disease patients and a healthy control group using headspace solid-phase microextraction-gas chromatography–mass spectrometry (HS-SPME-GC–MS). This method requires minimal sample amount, minimal sample preparation and no exte...

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Published inMicrochemical journal Vol. 215; p. 114369
Main Authors Zschiesche, Annette, Hummel, Thomas, Power-Guerra, Nicole, Haehner, Antje, Falkenburger, Björn, Koch, Susanne, Broesamle, Jakob, Schulz, Katja
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2025
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Abstract This study analyzed the chemical components of sebum from Parkinson's disease patients and a healthy control group using headspace solid-phase microextraction-gas chromatography–mass spectrometry (HS-SPME-GC–MS). This method requires minimal sample amount, minimal sample preparation and no extensive equipment. The extraction efficiency of six commercially available fibers was thoroughly evaluated. Among these, a 65 μm polydimethylsiloxane/divinylbenzene coating emerged as the most effective for extracting key biomarkers: perillic aldehyde, eicosane, and octadecanal. To maximize the efficiency of the headspace solid-phase microextraction procedure, several critical parameters were optimized. These included extraction temperature and duration, as well as desorption temperature and time. This comprehensive optimization process ensured the most suitable conditions for biomarker extraction and analysis. The investigation included 80 subjects, comprising 28 healthy control group and 52 Parkinson's disease patients. The compounds perillic aldehyde, eicosane and octadecanal, which were first detected in this context by Trivedi et al. were investigated. Notably, perillic aldehyde was identified as potential biomarker, while eicosane and octadecanal showed no significant differences between the two groups. Statistical analysis using the Wilcoxon-Mann-Whitney test confirmed significant differences for perillic aldehyde (p = 0.00154). Method validation demonstrated high precision and accuracy of measurements, with confirmed intraday and interday stability. •Perillic aldehyde was identified as potential biomarker with significant differences between the patient group and the healthy control group.•HS-SPME-GC–MS method requires minimal sample amount, minimal sample preparation and no extensive equipment.•Method provides robust validation results across multiple analytical parameters.
AbstractList This study analyzed the chemical components of sebum from Parkinson's disease patients and a healthy control group using headspace solid-phase microextraction-gas chromatography–mass spectrometry (HS-SPME-GC–MS). This method requires minimal sample amount, minimal sample preparation and no extensive equipment. The extraction efficiency of six commercially available fibers was thoroughly evaluated. Among these, a 65 μm polydimethylsiloxane/divinylbenzene coating emerged as the most effective for extracting key biomarkers: perillic aldehyde, eicosane, and octadecanal. To maximize the efficiency of the headspace solid-phase microextraction procedure, several critical parameters were optimized. These included extraction temperature and duration, as well as desorption temperature and time. This comprehensive optimization process ensured the most suitable conditions for biomarker extraction and analysis. The investigation included 80 subjects, comprising 28 healthy control group and 52 Parkinson's disease patients. The compounds perillic aldehyde, eicosane and octadecanal, which were first detected in this context by Trivedi et al. were investigated. Notably, perillic aldehyde was identified as potential biomarker, while eicosane and octadecanal showed no significant differences between the two groups. Statistical analysis using the Wilcoxon-Mann-Whitney test confirmed significant differences for perillic aldehyde (p = 0.00154). Method validation demonstrated high precision and accuracy of measurements, with confirmed intraday and interday stability. •Perillic aldehyde was identified as potential biomarker with significant differences between the patient group and the healthy control group.•HS-SPME-GC–MS method requires minimal sample amount, minimal sample preparation and no extensive equipment.•Method provides robust validation results across multiple analytical parameters.
ArticleNumber 114369
Author Haehner, Antje
Hummel, Thomas
Zschiesche, Annette
Schulz, Katja
Broesamle, Jakob
Power-Guerra, Nicole
Falkenburger, Björn
Koch, Susanne
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  surname: Falkenburger
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  givenname: Susanne
  surname: Koch
  fullname: Koch, Susanne
  organization: Institute of Forensic Medicine, Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, 01307 Dresden, Germany
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  givenname: Jakob
  surname: Broesamle
  fullname: Broesamle, Jakob
  organization: Institute of Forensic Medicine, Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, 01307 Dresden, Germany
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  givenname: Katja
  surname: Schulz
  fullname: Schulz, Katja
  email: Katja.Schulz@tu-dresden.de
  organization: Institute of Forensic Medicine, Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, 01307 Dresden, Germany
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Keywords Biomarkers
Sebum
Early diagnosis
Parkinson's disease
Headspace solid-phase microextraction-gas chromatography–mass spectrometry
Solvent-free method
Language English
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Snippet This study analyzed the chemical components of sebum from Parkinson's disease patients and a healthy control group using headspace solid-phase...
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StartPage 114369
SubjectTerms Biomarkers
Early diagnosis
Headspace solid-phase microextraction-gas chromatography–mass spectrometry
Parkinson's disease
Sebum
Solvent-free method
Title Headspace solid-phase microextraction-gas chromatography–mass spectrometry for the determination of volatile and semi-volatile substances in sebum as biomarkers for Parkinson's disease
URI https://dx.doi.org/10.1016/j.microc.2025.114369
Volume 215
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