Fabrics and Textiles Case Studies

Certify the effectiveness of functional and smart textiles, using both sensory and molecular test methods. Full textile testing range with Sensenet’s partner institute Aitex.

Certify the effectiveness of functional and smart textiles, using both sensory and molecular test methods. Full textile testing range with Sensenet’s partner institute Aitex.
The ChallengeOur strategy
  • A major clothes producer wanted a study on fabric-textile products to determine the sensory information of the products based on its chemical composition, using a combined technology, GC-O and GC-ToFMS.
  • The GC-sniffing technique improves the performance of GC-MS systems in terms of odour analysis because it allows to "smell" the chromatogram.
To accomplish that, the following protocol was executed:
  • Collection of headspace containing the volatile compounds from the original samples by using thermal microchambers.
  • Identification of all compounds (full scan) in the fabric samples tested.
  • Comparison of concentration of all compounds in the fabric samples tested.
  • Detection and characterization of the individual odours found in the samples by GC-O analysis.
Images of the sampling preparation by thermal microchamber.

Results

The GC-O made it possible to measure the odour reduction efficacy. The odours perceived with greater impact during the analysis were butanoic acid (24.9 min), butanoic acid, 3-methyl (27.1 min) and hexanoic acid (32.7 min), with odour intensities of 4 (strong). These compounds are responsible for cheesy, rancid, sour and sweaty odour notes. Samples S1 and S2 obtained the highest intensity for these compounds. Table 1. Odorants perceived during sniffing process and chemically identified by GC-ToFMS. Figure 2 represents graphically (spider chart) the odorants smelled by GC-O classified by general categories. The most prominent odour categories are cheesy, fatty/waxy and phenolic.  
Certify the effectiveness of functional and smart textiles, using both sensory and molecular test methods. Full textile testing range with Sensenet’s partner institute Aitex.
The ChallengeOur strategy
  • A major clothes producer wanted a study on fabric-textile products to determine the sensory information of the products based on its chemical composition, using a combined technology, GC-O and GC-ToFMS.
  • The GC-sniffing technique improves the performance of GC-MS systems in terms of odour analysis because it allows to "smell" the chromatogram.
To accomplish that, the following protocol was executed:
  • Collection of headspace containing the volatile compounds from the original samples by using thermal microchambers.
  • Identification of all compounds (full scan) in the fabric samples tested.
  • Comparison of concentration of all compounds in the fabric samples tested.
  • Detection and characterization of the individual odours found in the samples by GC-O analysis.
Images of the sampling preparation by thermal microchamber.

Results

The GC-O made it possible to measure the odour reduction efficacy. The odours perceived with greater impact during the analysis were butanoic acid (24.9 min), butanoic acid, 3-methyl (27.1 min) and hexanoic acid (32.7 min), with odour intensities of 4 (strong). These compounds are responsible for cheesy, rancid, sour and sweaty odour notes. Samples S1 and S2 obtained the highest intensity for these compounds. Table 1. Odorants perceived during sniffing process and chemically identified by GC-ToFMS. Figure 2 represents graphically (spider chart) the odorants smelled by GC-O classified by general categories. The most prominent odour categories are cheesy, fatty/waxy and phenolic.  
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