Distinguishing ovarian maturity of farmed white sturgeon (Acipenser transmontanus) by Fourier transform infrared spectroscopy: a potential tool for caviar production management.
Identifieur interne : 000786 ( Main/Merge ); précédent : 000785; suivant : 000787Distinguishing ovarian maturity of farmed white sturgeon (Acipenser transmontanus) by Fourier transform infrared spectroscopy: a potential tool for caviar production management.
Auteurs : Xiaonan Lu [États-Unis] ; Molly Webb ; Mariah Talbott ; Joel Van Eenennaam ; Amanda Palumbo ; Javier Linares-Casenave ; Serge Doroshov ; Peter Struffenegger ; Barbara RascoSource :
- Journal of agricultural and food chemistry [ 1520-5118 ] ; 2010.
English descriptors
- KwdEn :
- Animals, Female, Fishes, Oocytes (chemistry), Oocytes (cytology), Oocytes (growth & development), Oocytes (metabolism), Ovary (chemistry), Ovary (cytology), Ovary (growth & development), Ovary (metabolism), Seafood (analysis), Spectroscopy, Fourier Transform Infrared (methods), Vitellogenesis, Vitellogenins (metabolism).
- MESH :
- chemical , metabolism : Vitellogenins.
- analysis : Seafood.
- chemistry : Oocytes, Ovary.
- cytology : Oocytes, Ovary.
- growth & development : Oocytes, Ovary.
- metabolism : Oocytes, Ovary.
- methods : Spectroscopy, Fourier Transform Infrared.
- Animals, Female, Fishes, Vitellogenesis.
Abstract
Fourier transform infrared spectroscopy (FT-IR, 4000-400 cm(-1)) was applied to blood plasma of farmed white sturgeon (N = 40) to differentiate and predict the stages of ovarian maturity. Spectral features of sex steroids (approximately 3000 cm(-1)) and vitellogenin (approximately 1080 cm(-1)) were identified. Clear segregation of maturity stages (previtellogenesis, vitellogenesis, postvitellogenesis, and follicular atresia) was achieved using principal component analysis (PCA). Progression of oocyte development in the late phase of vitellogenesis was also monitored using PCA based on changes in plasma concentrations of sex steroid and lipid content. The observed oocyte polarization index (PI, a measure of nuclear migration) was correlated with changes in plasma sex steroid levels revealed by FT-IR PCA results. A partial least squares (PLS) model predicted PI values within the range 0.12-0.40 (R = 0.95, SEP = 2.18%) from differences in spectral features. These results suggest that FT-IR may be a good tool for assessing ovarian maturity in farmed sturgeon and will reduce the need for the invasive ovarian biopsy required for PI determination.
DOI: 10.1021/jf9038502
PubMed: 20170152
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Talbott</name></author><author><name sortKey="Van Eenennaam, Joel" sort="Van Eenennaam, Joel" uniqKey="Van Eenennaam J" first="Joel" last="Van Eenennaam">Joel Van Eenennaam</name></author><author><name sortKey="Palumbo, Amanda" sort="Palumbo, Amanda" uniqKey="Palumbo A" first="Amanda" last="Palumbo">Amanda Palumbo</name></author><author><name sortKey="Linares Casenave, Javier" sort="Linares Casenave, Javier" uniqKey="Linares Casenave J" first="Javier" last="Linares-Casenave">Javier Linares-Casenave</name></author><author><name sortKey="Doroshov, Serge" sort="Doroshov, Serge" uniqKey="Doroshov S" first="Serge" last="Doroshov">Serge Doroshov</name></author><author><name sortKey="Struffenegger, Peter" sort="Struffenegger, Peter" uniqKey="Struffenegger P" first="Peter" last="Struffenegger">Peter Struffenegger</name></author><author><name sortKey="Rasco, Barbara" sort="Rasco, Barbara" uniqKey="Rasco B" first="Barbara" last="Rasco">Barbara 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(Acipenser transmontanus) by Fourier transform infrared spectroscopy: a potential tool for caviar production management.</title><author><name sortKey="Lu, Xiaonan" sort="Lu, Xiaonan" uniqKey="Lu X" first="Xiaonan" last="Lu">Xiaonan Lu</name><affiliation wicri:level="1"><nlm:affiliation>School of Food Science, Washington State University, Pullman, Washington 99163, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Food Science, Washington State University, Pullman, Washington 99163</wicri:regionArea><wicri:noRegion>Washington 99163</wicri:noRegion></affiliation></author><author><name sortKey="Webb, Molly" sort="Webb, Molly" uniqKey="Webb M" first="Molly" last="Webb">Molly Webb</name></author><author><name sortKey="Talbott, Mariah" sort="Talbott, Mariah" uniqKey="Talbott M" first="Mariah" last="Talbott">Mariah Talbott</name></author><author><name sortKey="Van Eenennaam, Joel" sort="Van Eenennaam, Joel" uniqKey="Van Eenennaam J" first="Joel" last="Van Eenennaam">Joel Van Eenennaam</name></author><author><name sortKey="Palumbo, Amanda" sort="Palumbo, Amanda" uniqKey="Palumbo A" first="Amanda" last="Palumbo">Amanda Palumbo</name></author><author><name sortKey="Linares Casenave, Javier" sort="Linares Casenave, Javier" uniqKey="Linares Casenave J" first="Javier" last="Linares-Casenave">Javier Linares-Casenave</name></author><author><name sortKey="Doroshov, Serge" sort="Doroshov, Serge" uniqKey="Doroshov S" first="Serge" last="Doroshov">Serge Doroshov</name></author><author><name sortKey="Struffenegger, Peter" sort="Struffenegger, Peter" uniqKey="Struffenegger P" first="Peter" last="Struffenegger">Peter Struffenegger</name></author><author><name sortKey="Rasco, Barbara" sort="Rasco, Barbara" uniqKey="Rasco B" first="Barbara" last="Rasco">Barbara Rasco</name></author></analytic><series><title level="j">Journal of agricultural and food chemistry</title><idno type="eISSN">1520-5118</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Female</term><term>Fishes</term><term>Oocytes (chemistry)</term><term>Oocytes (cytology)</term><term>Oocytes (growth & development)</term><term>Oocytes (metabolism)</term><term>Ovary (chemistry)</term><term>Ovary (cytology)</term><term>Ovary (growth & development)</term><term>Ovary (metabolism)</term><term>Seafood (analysis)</term><term>Spectroscopy, Fourier Transform Infrared (methods)</term><term>Vitellogenesis</term><term>Vitellogenins (metabolism)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Vitellogenins</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Seafood</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Oocytes</term><term>Ovary</term></keywords><keywords scheme="MESH" qualifier="cytology" xml:lang="en"><term>Oocytes</term><term>Ovary</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Oocytes</term><term>Ovary</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Oocytes</term><term>Ovary</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Spectroscopy, Fourier Transform Infrared</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Female</term><term>Fishes</term><term>Vitellogenesis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Fourier transform infrared spectroscopy (FT-IR, 4000-400 cm(-1)) was applied to blood plasma of farmed white sturgeon (N = 40) to differentiate and predict the stages of ovarian maturity. Spectral features of sex steroids (approximately 3000 cm(-1)) and vitellogenin (approximately 1080 cm(-1)) were identified. Clear segregation of maturity stages (previtellogenesis, vitellogenesis, postvitellogenesis, and follicular atresia) was achieved using principal component analysis (PCA). Progression of oocyte development in the late phase of vitellogenesis was also monitored using PCA based on changes in plasma concentrations of sex steroid and lipid content. The observed oocyte polarization index (PI, a measure of nuclear migration) was correlated with changes in plasma sex steroid levels revealed by FT-IR PCA results. A partial least squares (PLS) model predicted PI values within the range 0.12-0.40 (R = 0.95, SEP = 2.18%) from differences in spectral features. These results suggest that FT-IR may be a good tool for assessing ovarian maturity in farmed sturgeon and will reduce the need for the invasive ovarian biopsy required for PI determination.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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