Hyperspectral Imaging Coupled with Random Frog and Calibration Models for Assessment of Total Soluble Solids in Mulberries
Identifieur interne : 000601 ( Main/Exploration ); précédent : 000600; suivant : 000602Hyperspectral Imaging Coupled with Random Frog and Calibration Models for Assessment of Total Soluble Solids in Mulberries
Auteurs : Yan-Ru Zhao [République populaire de Chine] ; Ke-Qiang Yu [République populaire de Chine] ; Yong He [République populaire de Chine]Source :
- Journal of Analytical Methods in Chemistry [ 2090-8865 ] ; 2015.
Abstract
Chemometrics methods coupled with hyperspectral imaging technology in visible and near infrared (Vis/NIR) region (380–1030 nm) were introduced to assess total soluble solids (TSS) in mulberries. Hyperspectral images of 310 mulberries were acquired by hyperspectral reflectance imaging system (512 bands) and their corresponding TSS contents were measured by a Brix meter. Random frog (RF) method was used to select important wavelengths from the full wavelengths. TSS values in mulberry fruits were predicted by partial least squares regression (PLSR) and least-square support vector machine (LS-SVM) models based on full wavelengths and the selected important wavelengths. The optimal PLSR model with 23 important wavelengths was employed to visualise the spatial distribution of TSS in tested samples, and TSS concentrations in mulberries were revealed through the TSS spatial distribution. The results declared that hyperspectral imaging is promising for determining the spatial distribution of TSS content in mulberry fruits, which provides a reference for detecting the internal quality of fruits.
Url:
DOI: 10.1155/2015/343782
PubMed: 26451273
PubMed Central: 4584247
Affiliations:
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type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="Yu, Ke Qiang" sort="Yu, Ke Qiang" uniqKey="Yu K" first="Ke-Qiang" last="Yu">Ke-Qiang Yu</name><affiliation wicri:level="4"><nlm:aff id="I1">College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="He, Yong" sort="He, Yong" uniqKey="He Y" first="Yong" last="He">Yong He</name><affiliation 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866 Yuhangtang Road, Hangzhou 310058, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="Yu, Ke Qiang" sort="Yu, Ke Qiang" uniqKey="Yu K" first="Ke-Qiang" last="Yu">Ke-Qiang Yu</name><affiliation wicri:level="4"><nlm:aff id="I1">College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="He, Yong" sort="He, Yong" uniqKey="He Y" first="Yong" last="He">Yong He</name><affiliation wicri:level="4"><nlm:aff id="I1">College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China</nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author></analytic><series><title level="j">Journal of Analytical Methods in Chemistry</title><idno type="ISSN">2090-8865</idno><idno type="eISSN">2090-8873</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Chemometrics methods coupled with hyperspectral imaging technology in visible and near infrared (Vis/NIR) region (380–1030 nm) were introduced to assess total soluble solids (TSS) in mulberries. Hyperspectral images of 310 mulberries were acquired by hyperspectral reflectance imaging system (512 bands) and their corresponding TSS contents were measured by a Brix meter. Random frog (RF) method was used to select important wavelengths from the full wavelengths. TSS values in mulberry fruits were predicted by partial least squares regression (PLSR) and least-square support vector machine (LS-SVM) models based on full wavelengths and the selected important wavelengths. The optimal PLSR model with 23 important wavelengths was employed to visualise the spatial distribution of TSS in tested samples, and TSS concentrations in mulberries were revealed through the TSS spatial distribution. The results declared that hyperspectral imaging is promising for determining the spatial distribution of TSS content in mulberry fruits, which provides a reference for detecting the internal quality of fruits.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Gowen, A A" uniqKey="Gowen A">A. A. Gowen</name></author><author><name sortKey="O Donnell, C P" uniqKey="O Donnell C">C. P. O'Donnell</name></author><author><name sortKey="Cullen, P J" uniqKey="Cullen P">P. J. Cullen</name></author><author><name sortKey="Downey, G" uniqKey="Downey G">G. Downey</name></author><author><name sortKey="Frias, J M" uniqKey="Frias J">J. M. Frias</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Liu, H" uniqKey="Liu H">H. Liu</name></author><author><name sortKey="Motoda, H" uniqKey="Motoda H">H. Motoda</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zou, X" uniqKey="Zou X">X. 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Ignat</name></author><author><name sortKey="Alchanatis, V" uniqKey="Alchanatis V">V. Alchanatis</name></author><author><name sortKey="Gatker, J" uniqKey="Gatker J">J. Gatker</name></author><author><name sortKey="Ostrovsky, V" uniqKey="Ostrovsky V">V. Ostrovsky</name></author><author><name sortKey="Felfoldi, J" uniqKey="Felfoldi J">J. Felföldi</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wu, D" uniqKey="Wu D">D. Wu</name></author><author><name sortKey="Shi, H" uniqKey="Shi H">H. Shi</name></author><author><name sortKey="He, Y" uniqKey="He Y">Y. He</name></author><author><name sortKey="Yu, X" uniqKey="Yu X">X. Yu</name></author><author><name sortKey="Bao, Y" uniqKey="Bao Y">Y. Bao</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Zhejiang</li></region><settlement><li>Hangzhou</li></settlement><orgName><li>Université de Zhejiang</li></orgName></list><tree><country name="République populaire de Chine"><region name="Zhejiang"><name sortKey="Zhao, Yan Ru" sort="Zhao, Yan Ru" uniqKey="Zhao Y" first="Yan-Ru" last="Zhao">Yan-Ru Zhao</name></region><name sortKey="He, Yong" sort="He, Yong" uniqKey="He Y" first="Yong" last="He">Yong He</name><name sortKey="Yu, Ke Qiang" sort="Yu, Ke Qiang" uniqKey="Yu K" first="Ke-Qiang" last="Yu">Ke-Qiang Yu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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