شماره ركورد كنفرانس :
3976
عنوان مقاله :
Correlation constrained multivariate curve resolution for determination of polycyclic aromatic hydrocarbons in oil contaminated sea waters extracted by dispersive liquid-liquid micro-extraction and analyzed by gas chromatography
پديدآورندگان :
Saburouh Nazanin Sharif University of Technology , Parastar Hadi h.parastar@sharif.edu Sharif University of Technology
كليدواژه :
Chemometrics , Multivariate curve resolution , Gas Chromatography , Liquid , liquid micro , extraction , Polycyclic aromatic hydrocarbons.
عنوان كنفرانس :
ششمين سمينار ملي دوسالانه كمومتريكس ايران
چكيده فارسي :
Polycyclic Aromatic Hydrocarbons (PAHs) which are coming from incomplete
combustion processes are very toxic organic pollutants and they can cause serious
effects on the human health [1]. Due to the complexity of sample matrices including
PAHs (e.g., oil contaminated waters), development of sensitive and selective analytical
methods including a sample preparation technique followed by a separation technique
(e.g., gas chromatography (GC)) is required for determination of PAHs. In this study,
ultrasonic assisted extraction-dispersive liquid-liquid micro-extraction (UAE-DLLME)
followed by gas chromatography-flame ionization detector (GC-FID) was proposed for
simultaneous determination of thirteen polycyclic aromatic hydrocarbons (PAHs) in sea
waters exposed to oil spills. The optimum extraction conditions obtained by response
surface methodology (RSM) were 10 min sonication time, 14μL of tetrachloroethylene
as extraction solvent and 1.2% (w/v) salt concentration. In order to have a
comprehensive analysis, correlation constrained multivariate curve
resolution-alternating least squares (CC-MCR-ALS) as a first-order calibration
algorithm was used for resolution and quantification of the 13 target PAHs in the
presence of uncalibrated interferences [2]. In this way, orthogonal projection approach
(OPA) was used for estimation of the initial spectral values to start ALS optimization.
In this regard, calibration set for external calibration was randomly
designed in concentration range 0.1-100 ngmL-1. Then, multivariate analytical
figures of merit (AFOM) including sensitivity (SEN), selectivity (SEL) and limit of
detection (LOD) were calculated [3]. In all cases, the AFOMs were in acceptable ranges
which confirm the validity of the proposed method. Finally, the proposed
chemometrics-based strategy was successfully applied for determination of 13 PAHs in
oil contaminated sea water after removal of oil spill using standard addition calibration.
On this matter, all 13 PAHs were found in sea water in concentration range 8.0-300.0
ngmL-1 with relative standard deviation (RSD) below 5.6 %.
It is concluded that combination of multivariate calibration methods with
DLLME-GC-FID can be a straightforward and rapid technique to improve the
identification and quantification ability of these methods for the simultaneous
determination of target compounds in different sample matrices.