The Experts below are selected from a list of 138 Experts worldwide ranked by ideXlab platform

Qing Shen - One of the best experts on this subject based on the ideXlab platform.

  • electric Soldering Iron ionization mass spectrometry based lipidomics for in situ monitoring fish oil oxidation characteristics during storage
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Qing Shen
    Abstract:

    An electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS) was developed and used for in situ monitoring the dynamic variation trend in oxidation characteristics of fish oil during storage. The lipidomics profiles of fish oil stored at various days were acquired by ESII-REIMS. The fatty acid and triacylglycerol species were structurally identified, and their abundances were analyzed according to multivariate statistical models mainly including principle component analysis as well as orthogonal partial least-squares analysis. On the shared and unique structure plot, the ions of m/z 255.23, 281.24, 877.72, and 901.72 displayed the most significant variation among the oxidized fish oil samples. Based on receiver operating characteristic curve analysis with an optimal Youden index of 0.91, these markers were further verified. The variation of viscosity and volatiles were also evaluated to further verify the oxidation characteristics of fish oil. The study demonstrated that ESII-REIMS technology used as an advanced detection method could ensure fish oil quality during storage.

  • real time monitoring of the oxidation characteristics of antarctic krill oil euphausia superba during storage by electric Soldering Iron ionization mass spectrometry based lipidomics
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Yanping Zhang, Honghai Wang, Qing Shen
    Abstract:

    Antarctic krill oil (AKO) is susceptible to oxidation due to the high unsaturation degree of bioactive substances. Herein, a lipidomics method for in situ monitoring of the dynamic oxidation characteristics in AKO was explored based on electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS). The lipidomics profiles of AKO at different storage periods were successfully acquired. On the basis of principal component analysis and orthogonal partial least-squares analysis, the obtained REIMS data were employed to build a multivariate recognition model. The ions of m/z 707.50, 721.50, 833.49, and 837.54 contributed the most significant effect on the multivariate data model for the authentication of different AKO samples. Besides, the variation of viscosity, astaxanthin, and volatile compounds were also evaluated to corroborate the oxidation characteristics. The results indicated that the ESII-REIMS technology could be applied as an advanced rapid detection method to secure oil and fat quality during storage.

Gongshuai Song - One of the best experts on this subject based on the ideXlab platform.

  • electric Soldering Iron ionization mass spectrometry based lipidomics for in situ monitoring fish oil oxidation characteristics during storage
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Qing Shen
    Abstract:

    An electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS) was developed and used for in situ monitoring the dynamic variation trend in oxidation characteristics of fish oil during storage. The lipidomics profiles of fish oil stored at various days were acquired by ESII-REIMS. The fatty acid and triacylglycerol species were structurally identified, and their abundances were analyzed according to multivariate statistical models mainly including principle component analysis as well as orthogonal partial least-squares analysis. On the shared and unique structure plot, the ions of m/z 255.23, 281.24, 877.72, and 901.72 displayed the most significant variation among the oxidized fish oil samples. Based on receiver operating characteristic curve analysis with an optimal Youden index of 0.91, these markers were further verified. The variation of viscosity and volatiles were also evaluated to further verify the oxidation characteristics of fish oil. The study demonstrated that ESII-REIMS technology used as an advanced detection method could ensure fish oil quality during storage.

  • real time monitoring of the oxidation characteristics of antarctic krill oil euphausia superba during storage by electric Soldering Iron ionization mass spectrometry based lipidomics
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Yanping Zhang, Honghai Wang, Qing Shen
    Abstract:

    Antarctic krill oil (AKO) is susceptible to oxidation due to the high unsaturation degree of bioactive substances. Herein, a lipidomics method for in situ monitoring of the dynamic oxidation characteristics in AKO was explored based on electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS). The lipidomics profiles of AKO at different storage periods were successfully acquired. On the basis of principal component analysis and orthogonal partial least-squares analysis, the obtained REIMS data were employed to build a multivariate recognition model. The ions of m/z 707.50, 721.50, 833.49, and 837.54 contributed the most significant effect on the multivariate data model for the authentication of different AKO samples. Besides, the variation of viscosity, astaxanthin, and volatile compounds were also evaluated to corroborate the oxidation characteristics. The results indicated that the ESII-REIMS technology could be applied as an advanced rapid detection method to secure oil and fat quality during storage.

Haixing Wang - One of the best experts on this subject based on the ideXlab platform.

  • electric Soldering Iron ionization mass spectrometry based lipidomics for in situ monitoring fish oil oxidation characteristics during storage
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Qing Shen
    Abstract:

    An electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS) was developed and used for in situ monitoring the dynamic variation trend in oxidation characteristics of fish oil during storage. The lipidomics profiles of fish oil stored at various days were acquired by ESII-REIMS. The fatty acid and triacylglycerol species were structurally identified, and their abundances were analyzed according to multivariate statistical models mainly including principle component analysis as well as orthogonal partial least-squares analysis. On the shared and unique structure plot, the ions of m/z 255.23, 281.24, 877.72, and 901.72 displayed the most significant variation among the oxidized fish oil samples. Based on receiver operating characteristic curve analysis with an optimal Youden index of 0.91, these markers were further verified. The variation of viscosity and volatiles were also evaluated to further verify the oxidation characteristics of fish oil. The study demonstrated that ESII-REIMS technology used as an advanced detection method could ensure fish oil quality during storage.

  • real time monitoring of the oxidation characteristics of antarctic krill oil euphausia superba during storage by electric Soldering Iron ionization mass spectrometry based lipidomics
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Yanping Zhang, Honghai Wang, Qing Shen
    Abstract:

    Antarctic krill oil (AKO) is susceptible to oxidation due to the high unsaturation degree of bioactive substances. Herein, a lipidomics method for in situ monitoring of the dynamic oxidation characteristics in AKO was explored based on electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS). The lipidomics profiles of AKO at different storage periods were successfully acquired. On the basis of principal component analysis and orthogonal partial least-squares analysis, the obtained REIMS data were employed to build a multivariate recognition model. The ions of m/z 707.50, 721.50, 833.49, and 837.54 contributed the most significant effect on the multivariate data model for the authentication of different AKO samples. Besides, the variation of viscosity, astaxanthin, and volatile compounds were also evaluated to corroborate the oxidation characteristics. The results indicated that the ESII-REIMS technology could be applied as an advanced rapid detection method to secure oil and fat quality during storage.

Mengna Zhang - One of the best experts on this subject based on the ideXlab platform.

  • electric Soldering Iron ionization mass spectrometry based lipidomics for in situ monitoring fish oil oxidation characteristics during storage
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Qing Shen
    Abstract:

    An electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS) was developed and used for in situ monitoring the dynamic variation trend in oxidation characteristics of fish oil during storage. The lipidomics profiles of fish oil stored at various days were acquired by ESII-REIMS. The fatty acid and triacylglycerol species were structurally identified, and their abundances were analyzed according to multivariate statistical models mainly including principle component analysis as well as orthogonal partial least-squares analysis. On the shared and unique structure plot, the ions of m/z 255.23, 281.24, 877.72, and 901.72 displayed the most significant variation among the oxidized fish oil samples. Based on receiver operating characteristic curve analysis with an optimal Youden index of 0.91, these markers were further verified. The variation of viscosity and volatiles were also evaluated to further verify the oxidation characteristics of fish oil. The study demonstrated that ESII-REIMS technology used as an advanced detection method could ensure fish oil quality during storage.

  • real time monitoring of the oxidation characteristics of antarctic krill oil euphausia superba during storage by electric Soldering Iron ionization mass spectrometry based lipidomics
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Yanping Zhang, Honghai Wang, Qing Shen
    Abstract:

    Antarctic krill oil (AKO) is susceptible to oxidation due to the high unsaturation degree of bioactive substances. Herein, a lipidomics method for in situ monitoring of the dynamic oxidation characteristics in AKO was explored based on electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS). The lipidomics profiles of AKO at different storage periods were successfully acquired. On the basis of principal component analysis and orthogonal partial least-squares analysis, the obtained REIMS data were employed to build a multivariate recognition model. The ions of m/z 707.50, 721.50, 833.49, and 837.54 contributed the most significant effect on the multivariate data model for the authentication of different AKO samples. Besides, the variation of viscosity, astaxanthin, and volatile compounds were also evaluated to corroborate the oxidation characteristics. The results indicated that the ESII-REIMS technology could be applied as an advanced rapid detection method to secure oil and fat quality during storage.

Jie Wang - One of the best experts on this subject based on the ideXlab platform.

  • electric Soldering Iron ionization mass spectrometry based lipidomics for in situ monitoring fish oil oxidation characteristics during storage
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Qing Shen
    Abstract:

    An electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS) was developed and used for in situ monitoring the dynamic variation trend in oxidation characteristics of fish oil during storage. The lipidomics profiles of fish oil stored at various days were acquired by ESII-REIMS. The fatty acid and triacylglycerol species were structurally identified, and their abundances were analyzed according to multivariate statistical models mainly including principle component analysis as well as orthogonal partial least-squares analysis. On the shared and unique structure plot, the ions of m/z 255.23, 281.24, 877.72, and 901.72 displayed the most significant variation among the oxidized fish oil samples. Based on receiver operating characteristic curve analysis with an optimal Youden index of 0.91, these markers were further verified. The variation of viscosity and volatiles were also evaluated to further verify the oxidation characteristics of fish oil. The study demonstrated that ESII-REIMS technology used as an advanced detection method could ensure fish oil quality during storage.

  • real time monitoring of the oxidation characteristics of antarctic krill oil euphausia superba during storage by electric Soldering Iron ionization mass spectrometry based lipidomics
    Journal of Agricultural and Food Chemistry, 2020
    Co-Authors: Gongshuai Song, Haixing Wang, Mengna Zhang, Jie Wang, Yanping Zhang, Honghai Wang, Qing Shen
    Abstract:

    Antarctic krill oil (AKO) is susceptible to oxidation due to the high unsaturation degree of bioactive substances. Herein, a lipidomics method for in situ monitoring of the dynamic oxidation characteristics in AKO was explored based on electric Soldering Iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS). The lipidomics profiles of AKO at different storage periods were successfully acquired. On the basis of principal component analysis and orthogonal partial least-squares analysis, the obtained REIMS data were employed to build a multivariate recognition model. The ions of m/z 707.50, 721.50, 833.49, and 837.54 contributed the most significant effect on the multivariate data model for the authentication of different AKO samples. Besides, the variation of viscosity, astaxanthin, and volatile compounds were also evaluated to corroborate the oxidation characteristics. The results indicated that the ESII-REIMS technology could be applied as an advanced rapid detection method to secure oil and fat quality during storage.