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Polydimethylsiloxane/Divinylbenzene (PDMS/DVB) SPME Fibers

Polydimethylsiloxane/Divinylbenzene (PDMS/DVB) SPME Fibers.Solid Phase Microextraction (SPME) is an innovative, solvent-free sample prep technology that is fast, economical, and versatile. SPME uses a fiber coated with a liquid (polymer), a solid (sorbent), or a combination of both. The fiber coating removes the compounds from your sample by absorption in the case of liquid coatings or adsorbtion in the case of solid coatings.…

Sigma-Aldrich Supelco

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Average Rating 4.5

|2Scientists have reviewed this product

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Have patience with it

 

Average Rating 4.3

Application Area:

Volatiles Organic Compounds

The product is good, but take few, a lot of run to stop bleeding

Review Date: 25 May 2023 | Sigma-Aldrich Supelco

My favorite SPME fiber.

 

Average Rating 4.7

Application Area:

SPME of drugs

Product is easy to use and easy to maintain. Stripping of the fiber is an issue, so be sure to watch which compounds are reacting on the fiber coating.

Review Date: 11 Jul 2019 | Sigma-Aldrich Supelco

Polydimethylsiloxane/Divinylbenzene (PDMS/DVB) SPME Fibers.

Solid Phase Microextraction (SPME) is an innovative, solvent-free sample prep technology that is fast, economical, and versatile. SPME uses a fiber coated with a liquid (polymer), a solid (sorbent), or a combination of both. The fiber coating removes the compounds from your sample by absorption in the case of liquid coatings or adsorbtion in the case of solid coatings. The SPME fiber is then inserted directly into the chromatograph for desorption and analysis. SPME has gained wide spread acceptance as the technique of preference for many applications including flavors and fragrances, forensics and toxicology, environmental and biological matrices, and product testing to name a few.

Application NoteSeparations

Analysis of VOCs in Exhaled Breath as Cancer Biomarkers

Characteristic odors in breath have long been used as a tool for medical diagnosis. SPME with GC-MS analysis showed that the VOC profiles between a small set of healthy individuals and those diagnosed with lung cancer were significantly different.

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