Determination of carbendazim, thiabendazole and fuberidazole using a net analyte signal-based method

被引:37
作者
Galera, MM [1 ]
Zamora, DP
Vidal, JLM
Frenich, AG
Espinosa-Mansilla, A
de la Peña, AM
López, FS
机构
[1] Univ Almeria, Dept Hydrogeol & Analyt Chem, Almeria 04071, Spain
[2] Univ Extremadura, Dept Analyt Chem, Badajoz 0607, Spain
关键词
net analyte signal; multivariate calibration; multivariate analytical figures of merit; spectrofluorimetry; HLA; PLS-1; carbendazim; thiabendazole; fuberidazole;
D O I
10.1016/S0039-9140(03)00021-3
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The net analyte signal (NAS)-based method HLA/GO, modification of the original hybrid linear analysis (HLA) method, has been used to determine carbendazim, fuberidazole and thiabendazole in water samples. This approach was used after a solid-phase extraction (SPE) step, using the native fluorescence emission spectra of real samples, previously standardized by piecewise direct standardization (PDS). The results obtained show that the modification of HLA performs in a similar way that partial least-squares method (PLS-1). The NAS concept was also used to calculate multivariate analytical figures of merit such as limit of detection, selectivity, sensitivity and analytical sensitivity (gamma(-1)). With this purpose, blanks of methanol and ternary mixtures, with the target analyte at low concentration and the other two ranging according to the calibration matrix, were used, with different results. Detection limits calculated in the last way are more realistic and show the influence of the other components in the sample. Selectivity for carbendazim is higher than the corresponding values for fuberidazole and thiabendazole, whereas sensitivity, as well as the values obtained for their detection limits, are lower for carbendazim, followed by thiabendazole and fuberidazole. Results obtained by modification of HLA vary in the same way that the ones obtained by PLS-1. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1107 / 1116
页数:10
相关论文
共 30 条
[1]  
[Anonymous], 1987, BINDING CONSTANTS ME
[2]  
[Anonymous], 1988, J CHEMOM, DOI DOI 10.1002/CEM.1180020203
[3]   LIMITS OF DETECTION IN MULTIVARIATE CALIBRATION [J].
BAUER, G ;
WEGSCHEIDER, W ;
ORTNER, HM .
FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY, 1991, 340 (03) :135-139
[4]   An enhanced algorithm for linear multivariate calibration [J].
Berger, AJ ;
Koo, TW ;
Itzkan, I ;
Feld, MS .
ANALYTICAL CHEMISTRY, 1998, 70 (03) :623-627
[5]   Detection limits in classical multivariate calibration models [J].
Boqué, R ;
Faber, NKM ;
Rius, FX .
ANALYTICA CHIMICA ACTA, 2000, 423 (01) :41-49
[6]   Multivariate detection limits with fixed probabilities of error [J].
Boqué, R ;
Larrechi, MS ;
Rius, FX .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1999, 45 (1-2) :397-408
[7]   Multivariate detection limits estimators [J].
Boque, R ;
Rius, FX .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1996, 32 (01) :11-23
[8]   Computing detection limits in multicomponent spectroscopic analysis [J].
Boque, R ;
Rius, FX .
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1997, 16 (08) :432-436
[9]   Simultaneous spectrophotometric-multivariate calibration determination of several components of ophthalmic solutions: phenylephrine, chloramphenicol, antipyrine, methylparaben and thimerosal [J].
Collado, MS ;
Mantovani, VE ;
Goicoechea, HC ;
Olivieri, AC .
TALANTA, 2000, 52 (05) :909-920
[10]  
Cuadros-Rodriguez L., 1993, ANAL LETT, V26, P1243