TY - JOUR
T1 - Evaluation of cloud point extraction coupled with fluorescence spectroscopy and multivariate curve resolution-alternating least squares for tributyltin determination in sediment samples
AU - Alarcón, Francis
AU - Bustamante, Roxana
AU - Quiroz, Waldo
AU - Aguilar, Luis F.
AU - Bravo, Manuel A.
N1 - Funding Information:
The authors gratefully acknowledge the financial support of Fondecyt (project 1120541 ). Additionally, Francis Alarcón thanks VRIEA of the Pontificia Universidad Católica de Valparaíso for the postdoctoral grant.
Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - In this work, a new procedure for tributyltin (TBT) detection in marine sediments based on cloud point extraction (CPE) followed by total fluorescence spectroscopy combined with multivariate curve resolution-alternating least squares (MCR-ALS) is proposed. The multivariate model satisfactorily achieved the second order advantage in the presence of uncalibrated interferences, such as butyltin compounds or metallic species that are commonly found in sediment sample extracts. Under optimal conditions, the detection limit reached 3.0μg Sn L-1, and the relative prediction error was lower than 10%. The accuracy of the method was validated with the analysis of a certified sediment sample (marine sediment PACS-2), and there was good agreement between the certified and experimental results. Finally, the proposed methodology was satisfactorily applied to spiked real sediment samples, demonstrating the suitability of the proposed method for TBT detection in contaminated sediment samples.
AB - In this work, a new procedure for tributyltin (TBT) detection in marine sediments based on cloud point extraction (CPE) followed by total fluorescence spectroscopy combined with multivariate curve resolution-alternating least squares (MCR-ALS) is proposed. The multivariate model satisfactorily achieved the second order advantage in the presence of uncalibrated interferences, such as butyltin compounds or metallic species that are commonly found in sediment sample extracts. Under optimal conditions, the detection limit reached 3.0μg Sn L-1, and the relative prediction error was lower than 10%. The accuracy of the method was validated with the analysis of a certified sediment sample (marine sediment PACS-2), and there was good agreement between the certified and experimental results. Finally, the proposed methodology was satisfactorily applied to spiked real sediment samples, demonstrating the suitability of the proposed method for TBT detection in contaminated sediment samples.
KW - Cloud point extraction
KW - Multivariate calibration
KW - Organotin
KW - Sediment samples
UR - http://www.scopus.com/inward/record.url?scp=84940478229&partnerID=8YFLogxK
U2 - 10.1016/j.microc.2015.08.012
DO - 10.1016/j.microc.2015.08.012
M3 - Article
AN - SCOPUS:84940478229
VL - 124
SP - 132
EP - 138
JO - Microchemical Journal
JF - Microchemical Journal
SN - 0026-265X
ER -