Predicting the content of camelina protein using FT-IR spectroscopy coupled with SVM model (original) (raw)

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References

  1. Kagale, S., Chushin, K., Nixon, J., et al.: The emerging biofuel crop Camelina sativa retains a highly undifferentiated hexaploid genome structure. Nat. Commun. 5(4), 3706 (2011)
    Google Scholar
  2. Zubr, J.: Oil-seed crop: Camelina sativa. Ind. Crops Prod. 6(2), 113–119 (1997)
    Article Google Scholar
  3. Li, Y., Sun, X.S.: Camelina oil derivatives and adhesion properties. Ind. Crops Prod. 73, 73–80 (2015)
    Article Google Scholar
  4. Ryhanen, E.L., Perttila, S., Tupasela, T., et al.: Effect of Camelina sativa expeller cake on performance and meat quality of broilers. J. Sci. Food Agric. 87(8), 1489–1494 (2010)
    Article Google Scholar
  5. Rokka, T., Alen, K., Valaja, J., et al.: The effect of a Camelina sativa enriched diet on the composition and sensory quality of hen eggs. Food Res. Int. 35(2–3), 253–256 (2002)
    Article Google Scholar
  6. Li, N., Qi, G., Sun, X.S., et al.: Adhesion properties of camelina protein fractions isolated with different methods. Ind. Crops Prod. 69, 263–272 (2015)
    Article Google Scholar
  7. Zhang, K., Tan, Z., Chen, C., Sun, X.S., et al.: Rapid prediction of camlina seed oil content using near-infrared spectroscopy. Energy Fuels 31(5), 5629–5634 (2017)
    Article Google Scholar
  8. Xu, F., Yu, J., Tesso, T., et al.: Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: a mini-review. Appl. Energy 104(2), 801–809 (2013)
    Article Google Scholar
  9. Benesch, M.G., Lewis, R.N., Mannock, D.A., et al.: A DSC and FTIR spectroscopic study of the effects of the epimeric cholestan-3-ols and cholestan-3-one on the thermotropic phase behavior and organization of dipalmitoylphosphatidylcholine bilayer membranes: comparison with their 5-cholesten analogs. Chem. Phys. Lipids 188, 10–26 (2015)
    Article Google Scholar
  10. Wu, Z., Zhao, Y., Zhang, J., et al.: Quality assessment of gentiana rigescens from different geographical origins using FT-IR spectroscopy combined with HPLC. Molecules 22(7), 1238 (2017)
    Article Google Scholar
  11. Porras, M.A., Cubitto, M.A., Villar, M.A.: A new way of quantifying the production of poly(hydroxyalkanoate)s using FTIR. J. Chem. Technol. Biotechnol. 91(5), 1240–1249 (2016)
    Article Google Scholar
  12. Wu, Z., Xu, E., Long, J., et al.: Use of attenuated total reflectance mid-infrared spectroscopy for rapid prediction of amino acids in Chinese rice wine. J. Food Sci. 80(8), C1670 (2015)
    Article Google Scholar
  13. Seung Yeob, S., Young Koung, L., In-Jung, K.: Sugar and acid content of Citrus prediction modeling using FT-IR fingerprinting in combination with multivariate statistical analysis. Food Chem. 190, 1027–1032 (2016)
    Article Google Scholar
  14. Kumar, M., Raghava, G.P.: Prediction of nuclear proteins using SVM and HMM models. BMC Bioinf. 10(1), 22–22 (2009)
    Article Google Scholar
  15. Liu Jun, Wu, Mengting, Tan Zhenglin, et al.: Overview of data analysis methods in near-infrared spectroscopy nondestructive testing. J. Wuhan Inst. Technol 39(05), 496–502 (2017)
    Google Scholar
  16. Cherkassky, V., Mulier, F.: Statistical learning theory. Encycl. Sci. Learn. 41(4), 3185–3185 (1998)
    MATH Google Scholar
  17. Shao, W., Li, Y., Diao, S., et al.: Rapid classification of Chinese quince (Chaenomeles speciosa, Nakai) fruit provenance by near-infrared spectroscopy and multivariate calibration. Anal. Bioanal. Chem. 409(1), 115–120 (2017)
    Article Google Scholar
  18. Ulrichs, T., Drotleff, A.M., Ternes, W.: Determination of heat-induced changes in the protein secondary structure of reconstituted livetins (water-soluble proteins from hen’s egg yolk) by FTIR. Food Chem. 172, 909 (2015)
    Article Google Scholar
  19. Kyomugasho, C., Christiaens, S., Shpigelman, A., et al.: FT-IR spectroscopy, a reliable method for routine analysis of the degree of methylesterification of pectin in different fruit- and vegetable-based matrices. Food Chem. 176, 82–90 (2015)
    Article Google Scholar

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