FN Archimer Export Format
PT J
TI Analysis of light hydrocarbons in marine sediments by headspace technique: Optimization using design of experiments
BT 
AF DONVAL, Jean-Pierre
   CHARLOU, Jean-Luc
   LUCAS, L.
AS 1:1;2:1;3:2;
FF 1:PDG-DOP-DCB-GM-LGM;2:PDG-DOP-DCB-GM-LGM;3:;
C1 IFREMER, Ctr Brest, Dept Marine Geosci, Plouzane, France.
   Inst Univ Technol, Dept Mesures Phys, Lannion, France.
C2 IFREMER, FRANCE
   UNIV RENNES, FRANCE
SI BREST
SE PDG-DOP-DCB-GM-LGM
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 1.94
TC 8
UR https://archimer.ifremer.fr/doc/2008/publication-6235.pdf
LA English
DT Article
DE ;Design of experiments;Headspace technique;Gas;Sediments
AB Headspace technique is a common method to analyze light hydrocarbons in deep marine sediments. The use of an automatic headspace sampler instead of a manual injection is the guarantee for a better repeatability and furthermore it is less time consuming. But to increase the sensitivity and therefore, to achieve a better detection limit, it is necessary to optimize the automatic headspace sampler parameters. The theory of design of experiments was applied here by studying them. As a response, methane, which is an important gas in marine sediments, was chosen for its short analysis time. Regarding the parameters for automatic headspace sampler, eight variables were selected and then, a screening of them was carried out with a fractional factorial design to determine the influential factors. Finally, optimization was conducted with four factors: Sample Loop Fill time (t(slf)), Oven temperature (T degrees(o)), Vial Pressurization time (t(vp)) and Vial pressure (P-v). They were modeled with a Doehlert experimental design. Then, the model was validated by a conventional statistical test (analysis of variance) and the optimum has been found and checked by three experiments. Results on light hydrocarbons measured in sediments from the Congo-Angola Basin are given, as an example. (C) 2008 Elsevier B.V. All rights reserved.
PY 2008
PD DEC
SO Chemometrics and Intelligent Laboratory Systems
SN 0169-7439
PU Elsevier
VL 94
IS 2
UT 000263443500001
BP 89
EP 94
DI 10.1016/j.chemolab.2008.06.010
ID 6235
ER

EF