57295-U
SPME Fiber Assembly
CAR/PDMS, for use with autosampler, Nitinol-core (NIT), 23 ga, 85 μm
Synonym(s):
Carboxen/PDMS SPME fiber assembly
About This Item
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product name
SPME fiber assembly Carboxen/Polydimethylsiloxane (CAR/PDMS), df 85 μm(CAR/PDMS, needle size 23 ga, StableFlex, for use with autosampler
material
StableFlex fiber
plain light blue hub
Quality Level
needle size
23 ga
packaging
pkg of 3 ea
greener alternative product characteristics
Waste Prevention
Safer Solvents and Auxiliaries
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sustainability
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df
85 μm (CAR/PDMS)
technique(s)
solid phase microextraction (SPME): suitable
fiber L
1 cm
matrix active group
CAR/PDMS coating
application(s)
food and beverages
compatibility
(For gasses and low molecular weight compounds (MW 30 - 225).)
for use with autosampler
greener alternative category
, Aligned
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General description
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Protocols
High performance, reliability, and reproducibility of HS-SPME in combination with GC/MS for the determination of VOCs in water was proven in an interlaboratory trial. The new ISO 17943 using HS-SPME is an improvement on existing official methods for this determination in terms of sensitivity and selectivity.
High performance, reliability, and reproducibility of HS-SPME in combination with GC/MS for the determination of VOCs in water was proven in an interlaboratory trial. The new ISO 17943 using HS-SPME is an improvement on existing official methods for this determination in terms of sensitivity and selectivity.
High performance, reliability, and reproducibility of HS-SPME in combination with GC/MS for the determination of VOCs in water was proven in an interlaboratory trial. The new ISO 17943 using HS-SPME is an improvement on existing official methods for this determination in terms of sensitivity and selectivity.
High performance, reliability, and reproducibility of HS-SPME in combination with GC/MS for the determination of VOCs in water was proven in an interlaboratory trial. The new ISO 17943 using HS-SPME is an improvement on existing official methods for this determination in terms of sensitivity and selectivity.
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