Please select and order
€72.72
excl. VAT plus shipping costs
CONFIGURE NOW
Technische Regel
ONR CEN/TS 16182
Issue date: 2012 04 01
Sludge, treated biowaste and soil - Determination of nonylphenols (NP) and nonylphenol-mono- and diethoxylates using gas chromatography with mass selective detection (GC-MS) (CEN/TS 16182:2012)
This Technical Specification specifies a method for the determination of nonylphenols (NP), nonylphenolmonoethoxylates
(NP1EO) and nonylphenol-diethoxylates (NP2EO) in s...
Read more
Valid
Publisher:
Austrian Standards International
Format:
Digital | 22 Pages
Language:
German
| English
| Download GER/ENG
Optionally co-design standards:
ICS
This Technical Specification specifies a method for the determination of nonylphenols (NP), nonylphenolmonoethoxylates
(NP1EO) and nonylphenol-diethoxylates (NP2EO) in sludge using GC-MS.
For sludge a limit of detection of 0,1 mg/kg and for soil and treated bio-waste 0,02 mg/kg (expressed as dry
matter) may be achieved.
Lower limits of detection may be achieved by concentrating the extract by solvent evaporation.
ONR CEN/TS 16182
2012 04 01
Sludge, treated biowaste and soil - Determination of nonylphenols (NP) and nonylphenol-mono- and die...
Technische Regel
↖
ONR CEN/TS 16182
2011 02 01
Sludge treated biowaste and soil - Determination of nonylphenols (NP) and nonylphenol-mono- and diet...
Technische Regel Entwurf
Norm
ISO 8466-1:1990
Issue date :
1990 03 01
Water quality — Calibration and evaluation of analytical methods and estimation of performance characteristics — Part 1: Statistical evaluation of the linear calibration function
Norm
ÖNORM EN ISO 16720
Issue date :
2007 05 01
Soil quality - Pretreatment of samples by freeze-drying for subsequent analysis (ISO 16720:2005)
Norm
ÖNORM EN ISO 22892
Issue date :
2011 10 01
Soil quality - Guidelines for the identification of target compounds by gas chromatography and mass spectrometry (ISO 22892:2006)
Norm
ISO 8466-1:1990
Issue date :
1990 03 01
Water quality — Calibration and evaluation of analytical methods and estimation of performance characteristics — Part 1: Statistical evaluation of the linear calibration function