Premium
Screening method for metals based on array spectrophotometry and multivariate analysis
Author(s) -
Engström Eva,
Karlberg Bo
Publication year - 1996
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199609)10:5/6<509::aid-cem464>3.0.co;2-7
Subject(s) - spectrophotometry , multivariate statistics , multivariate analysis , chemometrics , chromatography , chemistry , analytical chemistry (journal) , environmental chemistry , mathematics , statistics
A rapid screening method for detection of heavy metals in aqueous samples has been developed. The method simply involves mixing the sample with a buffer containing the chelating agent PAR in volume proportion 1:1 and then measuring the absorbance of the mixture in the range 190–820 nm. Partial least squares modelling has been applied for prepared mixtures of the metal ions Cd 2+ , Cu 2+ , Pb 2+ and Zn 2+ , and identification and quantification of individual metals could be made in the total concentration range 1–20 μM. Typical root mean square errors of prediction were of the order of 0·5 μM. Classification of real samples was made by using principal component analysis. The limit of detection for the total metal concentration was estimated as 1·5 μM for the synthetic samples and about 4 μM for the real samples. Identification of samples containing large amounts of iron and copper respectively was possible. The levels of explained Y ‐variance reached 82% for iron, 76% for copper and 78% for the total metal concentration. © 1996 by John Wiley & Sons, Ltd.