[Study on the Rapid Detection of Triazophos Residues in Flesh of Navel Orange by Using Surface-Enhanced Raman Scattering].
Identifieur interne : 000006 ( Main/Exploration ); précédent : 000005; suivant : 000007[Study on the Rapid Detection of Triazophos Residues in Flesh of Navel Orange by Using Surface-Enhanced Raman Scattering].
Auteurs : Xiao-Bin Wang ; Rui-Mei Wu ; Jing Ling ; Mu-Hua Liu ; Lu-Ling Zhang ; Lei Lin ; Jin-Yin ChenSource :
- Guang pu xue yu guang pu fen xi = Guang pu [ 1000-0593 ] ; 2016.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Organothiophosphates, Pesticide Residues, Triazoles.
- Algorithms, Citrus sinensis, Least-Squares Analysis, Models, Theoretical, Spectrum Analysis, Raman.
Abstract
Surface enhanced Raman spectroscopy (SERS) and quick pre-treatment technology were used to detect triazophos residues in flesh of navel orange. Quantitative analysis model was developed by partial least squares (PLS) algorithm. SERS of different concentration (0.5 to 20 mg x L(-1)) triazophos juice solution with flesh extract as the matrix were collected by laser Raman spectrometer. Three preprocessing methods such as normalization, MSC and SNV were used to optimize Raman signals and PLS models were set up. The results showed that minimum detection concentration for triazophos in navel orange below 0.5 mg L(-1). The model built with normalization pre-processing gave the best result; the values of correlation (R(p)) and Root mean square error of prediction set (RMSEP) were 1.38 and 0.976 6, respectively. The predict recoveries were 95.97%-103.18%, and the absolute values of relative errors were below 5%. T-test (t = -0.018) showed that there was no significant difference between the true values and prediction values. This study demonstrates that this method is accurate and reliable.
PubMed: 27400516
Affiliations:
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Le document en format XML
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<author><name sortKey="Wu, Rui Mei" sort="Wu, Rui Mei" uniqKey="Wu R" first="Rui-Mei" last="Wu">Rui-Mei Wu</name>
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<author><name sortKey="Ling, Jing" sort="Ling, Jing" uniqKey="Ling J" first="Jing" last="Ling">Jing Ling</name>
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<author><name sortKey="Liu, Mu Hua" sort="Liu, Mu Hua" uniqKey="Liu M" first="Mu-Hua" last="Liu">Mu-Hua Liu</name>
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<author><name sortKey="Zhang, Lu Ling" sort="Zhang, Lu Ling" uniqKey="Zhang L" first="Lu-Ling" last="Zhang">Lu-Ling Zhang</name>
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<author><name sortKey="Lin, Lei" sort="Lin, Lei" uniqKey="Lin L" first="Lei" last="Lin">Lei Lin</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">[Study on the Rapid Detection of Triazophos Residues in Flesh of Navel Orange by Using Surface-Enhanced Raman Scattering].</title>
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<author><name sortKey="Liu, Mu Hua" sort="Liu, Mu Hua" uniqKey="Liu M" first="Mu-Hua" last="Liu">Mu-Hua Liu</name>
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<author><name sortKey="Zhang, Lu Ling" sort="Zhang, Lu Ling" uniqKey="Zhang L" first="Lu-Ling" last="Zhang">Lu-Ling Zhang</name>
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<author><name sortKey="Lin, Lei" sort="Lin, Lei" uniqKey="Lin L" first="Lei" last="Lin">Lei Lin</name>
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<author><name sortKey="Chen, Jin Yin" sort="Chen, Jin Yin" uniqKey="Chen J" first="Jin-Yin" last="Chen">Jin-Yin Chen</name>
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<series><title level="j">Guang pu xue yu guang pu fen xi = Guang pu</title>
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<term>Citrus sinensis</term>
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<term>Models, Theoretical</term>
<term>Organothiophosphates (analysis)</term>
<term>Pesticide Residues (analysis)</term>
<term>Spectrum Analysis, Raman</term>
<term>Triazoles (analysis)</term>
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<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Organothiophosphates</term>
<term>Pesticide Residues</term>
<term>Triazoles</term>
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<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Citrus sinensis</term>
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<front><div type="abstract" xml:lang="en">Surface enhanced Raman spectroscopy (SERS) and quick pre-treatment technology were used to detect triazophos residues in flesh of navel orange. Quantitative analysis model was developed by partial least squares (PLS) algorithm. SERS of different concentration (0.5 to 20 mg x L(-1)) triazophos juice solution with flesh extract as the matrix were collected by laser Raman spectrometer. Three preprocessing methods such as normalization, MSC and SNV were used to optimize Raman signals and PLS models were set up. The results showed that minimum detection concentration for triazophos in navel orange below 0.5 mg L(-1). The model built with normalization pre-processing gave the best result; the values of correlation (R(p)) and Root mean square error of prediction set (RMSEP) were 1.38 and 0.976 6, respectively. The predict recoveries were 95.97%-103.18%, and the absolute values of relative errors were below 5%. T-test (t = -0.018) showed that there was no significant difference between the true values and prediction values. This study demonstrates that this method is accurate and reliable.</div>
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<tree><noCountry><name sortKey="Chen, Jin Yin" sort="Chen, Jin Yin" uniqKey="Chen J" first="Jin-Yin" last="Chen">Jin-Yin Chen</name>
<name sortKey="Lin, Lei" sort="Lin, Lei" uniqKey="Lin L" first="Lei" last="Lin">Lei Lin</name>
<name sortKey="Ling, Jing" sort="Ling, Jing" uniqKey="Ling J" first="Jing" last="Ling">Jing Ling</name>
<name sortKey="Liu, Mu Hua" sort="Liu, Mu Hua" uniqKey="Liu M" first="Mu-Hua" last="Liu">Mu-Hua Liu</name>
<name sortKey="Wang, Xiao Bin" sort="Wang, Xiao Bin" uniqKey="Wang X" first="Xiao-Bin" last="Wang">Xiao-Bin Wang</name>
<name sortKey="Wu, Rui Mei" sort="Wu, Rui Mei" uniqKey="Wu R" first="Rui-Mei" last="Wu">Rui-Mei Wu</name>
<name sortKey="Zhang, Lu Ling" sort="Zhang, Lu Ling" uniqKey="Zhang L" first="Lu-Ling" last="Zhang">Lu-Ling Zhang</name>
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