Application of visible and near infrared spectroscopy for rapid analysis of chrysin and galangin in Chinese propolis.
Identifieur interne : 002794 ( Main/Exploration ); précédent : 002793; suivant : 002795Application of visible and near infrared spectroscopy for rapid analysis of chrysin and galangin in Chinese propolis.
Auteurs : Pengcheng Nie [République populaire de Chine] ; Zhengyan Xia ; Da-Wen Sun ; Yong HeSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Flavonoïdes.
- composition chimique : Ascomycota.
- méthodes : Spectroscopie proche infrarouge.
- Algorithmes, Interprétation statistique de données, Méthode des moindres carrés.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Flavonoids.
- chemistry : Ascomycota.
- methods : Spectroscopy, Near-Infrared.
- Algorithms, Data Interpretation, Statistical, Least-Squares Analysis.
Abstract
A novel method for the rapid determination of chrysin and galangin in Chinese propolis of poplar origin by means of visible and near infrared spectroscopy (Vis-NIR) was developed. Spectral data of 114 Chinese propolis samples were acquired in the 325 to 1,075 nm wavelength range using a Vis-NIR spectroradiometer. The reference values of chrysin and galangin of the samples were determined by high performance liquid chromatography (HPLC). Partial least squares (PLS) models were established using the spectra analyzed by different preprocessing methods. The effective wavelengths were selected by successive projections algorithm (SPA) and employed as the inputs of PLS, back propagation-artificial neural networks (BP-ANN), multiple linear regression (MLR) and least square-support vector machine (LS-SVM) models. The best results were achieved by SPA-BP-ANN models established with the Savitzky-Golay smoothing (SG) preprocessed spectra, where the r and RMSEP were 0.9823 and 1.5239 for galangin determination and 0.9668 and 2.4841 for chrysin determination, respectively. The results show that Vis-NIR demosntrates powerful capability for the rapid determination of chrysin and galangin contents in Chinese propolis.
DOI: 10.3390/s130810539
PubMed: 23945741
PubMed Central: PMC3812616
Affiliations:
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xml:lang="fr"><term>Algorithmes</term><term>Interprétation statistique de données</term><term>Méthode des moindres carrés</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A novel method for the rapid determination of chrysin and galangin in Chinese propolis of poplar origin by means of visible and near infrared spectroscopy (Vis-NIR) was developed. Spectral data of 114 Chinese propolis samples were acquired in the 325 to 1,075 nm wavelength range using a Vis-NIR spectroradiometer. The reference values of chrysin and galangin of the samples were determined by high performance liquid chromatography (HPLC). Partial least squares (PLS) models were established using the spectra analyzed by different preprocessing methods. The effective wavelengths were selected by successive projections algorithm (SPA) and employed as the inputs of PLS, back propagation-artificial neural networks (BP-ANN), multiple linear regression (MLR) and least square-support vector machine (LS-SVM) models. The best results were achieved by SPA-BP-ANN models established with the Savitzky-Golay smoothing (SG) preprocessed spectra, where the r and RMSEP were 0.9823 and 1.5239 for galangin determination and 0.9668 and 2.4841 for chrysin determination, respectively. The results show that Vis-NIR demosntrates powerful capability for the rapid determination of chrysin and galangin contents in Chinese propolis. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23945741</PMID><DateCompleted><Year>2014</Year><Month>01</Month><Day>21</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1424-8220</ISSN><JournalIssue CitedMedium="Internet"><Volume>13</Volume><Issue>8</Issue><PubDate><Year>2013</Year><Month>Aug</Month><Day>13</Day></PubDate></JournalIssue><Title>Sensors (Basel, Switzerland)</Title><ISOAbbreviation>Sensors (Basel)</ISOAbbreviation></Journal><ArticleTitle>Application of visible and near infrared spectroscopy for rapid analysis of chrysin and galangin in Chinese propolis.</ArticleTitle><Pagination><MedlinePgn>10539-49</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3390/s130810539</ELocationID><Abstract><AbstractText>A novel method for the rapid determination of chrysin and galangin in Chinese propolis of poplar origin by means of visible and near infrared spectroscopy (Vis-NIR) was developed. Spectral data of 114 Chinese propolis samples were acquired in the 325 to 1,075 nm wavelength range using a Vis-NIR spectroradiometer. The reference values of chrysin and galangin of the samples were determined by high performance liquid chromatography (HPLC). Partial least squares (PLS) models were established using the spectra analyzed by different preprocessing methods. The effective wavelengths were selected by successive projections algorithm (SPA) and employed as the inputs of PLS, back propagation-artificial neural networks (BP-ANN), multiple linear regression (MLR) and least square-support vector machine (LS-SVM) models. The best results were achieved by SPA-BP-ANN models established with the Savitzky-Golay smoothing (SG) preprocessed spectra, where the r and RMSEP were 0.9823 and 1.5239 for galangin determination and 0.9668 and 2.4841 for chrysin determination, respectively. 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uniqKey="Sun D" first="Da-Wen" last="Sun">Da-Wen Sun</name><name sortKey="Xia, Zhengyan" sort="Xia, Zhengyan" uniqKey="Xia Z" first="Zhengyan" last="Xia">Zhengyan Xia</name></noCountry><country name="République populaire de Chine"><region name="Zhejiang"><name sortKey="Nie, Pengcheng" sort="Nie, Pengcheng" uniqKey="Nie P" first="Pengcheng" last="Nie">Pengcheng Nie</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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