Chemometric determination of arsenic and lead in untreated powdered red paprika by diffuse reflectance near-infrared spectroscopy

被引：62
作者：
Moros, J. [1 ]
Llorca, I. [1 ]
Cervera, M. L. [1 ]
Pastor, A. [1 ]
Garrigues, S. [1 ]
de la Guardia, M. [1 ]
机构：
[1] Univ Valencia, Dept Analyt Chem, E-46100 Valencia, Spain
来源：
ANALYTICA CHIMICA ACTA | 2008年 / 613卷 / 02期
关键词：
arsenic; lead; near-infrared spectroscopy; partial least-squares; paprika; diffuse reflectance; first derivative; standard normal variate; multiplicative signal correction;
D O I：
10.1016/j.aca.2008.02.066
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
It has been evaluated the potential of near-infrared (NIR) diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) as a way for non-destructive measurement of trace elements at mu gkg(-1) level in foods, with neither physical nor chemical pre-treatment. Predictive models were developed using partial least-square (PLS) multivariate approaches based on first-order derivative spectra. A critical comparison of two spectral pre-treatments, multiplicative signal correction (MSC) and standard normal variate (SNV) was also made. The PLS models built after using SNV provided the best prediction results for the determination of arsenic and lead in powdered red paprika samples. Relative root-mean-square error of prediction (RRMSEP) of 23% for both metals, arsenic and lead, were found in this study using 20 well characterized samples for calibration and 13 additional samples as validation set. Results derived from this study showed that NIR diffuse reflectance spectroscopy combined with the appropriate chemometric tools could be considered as an useful screening tool for a rapid determination of As and Pb at concentration level of the order of hundred mu gkg(-1). (C) 2008 Elsevier B.V. All rights reserved.
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页码：196 / 206
页数：11
相关论文
共 40 条
[1]  
*ATSDR, TOXFAQS ARS
[2]  
*ATSDR, TOXFAQS LEAD
[3]   STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].
BARNES, RJ ;
DHANOA, MS ;
LISTER, SJ .
APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777
[4]   Room temperature acid sonication ICP-MS multielemental analysis of milk [J].
Cava-Montesinos, P ;
Cervera, ML ;
Pastor, A ;
de la Guardia, M .
ANALYTICA CHIMICA ACTA, 2005, 531 (01) :111-123
[5]  
Cava-Montesinos P, 2004, TALANTA, V62, P175, DOI [10.1016/S0039-9140(03)00411-9, 10.1016/S0039-9140k(03)00411-9]
[6]   Theory and application of near infrared reflectance spectroscopy in determination of food quality [J].
Cen, Haiyan ;
He, Yong .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2007, 18 (02) :72-83
[7]   Near-infrared spectroscopy for analysis of chemical and microbiological properties of forest soil organic horizons in a heavy-metal-polluted area [J].
Chodak, Marcin ;
Niklinska, Maria ;
Beese, Friedrich .
BIOLOGY AND FERTILITY OF SOILS, 2007, 44 (01) :171-180
[8]   The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics [J].
Cozzolino, D ;
Morón, A .
JOURNAL OF AGRICULTURAL SCIENCE, 2003, 140 :65-71
[9]  
Font R, 2004, FRESEN ENVIRON BULL, V13, P1309
[10]   Screening inorganic arsenic in rice by visible and near-infrared spectroscopy [J].
Font, R ;
Vélez, D ;
Del Río-Celestino, M ;
De Haro-Bailón, A ;
Montoro, R .
MICROCHIMICA ACTA, 2005, 151 (3-4) :231-239
1234