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Applying Near-Infrared Spectroscopy and Chemometrics to Determine Total Amino Acids in Herbicide-Stressed Oilseed Rape Leaves

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Abstract

Near-infrared (NIR) spectroscopy was investigated to determine the total amino acids (TAA) in oilseed rape (Brassica napus L.) leaves under a new herbicide—propyl 4-(2-(4,6-dimethoxypyrimidin-2-yloxy)benzylamino)benzoate (ZJ0273)—stress. In full-spectrum partial least squares (PLS) models, direct orthogonal signal correction (DOSC) was the best preprocessing method. Successive projections algorithm (SPA) was used to select the relevant variables. Multiple linear regression (MLR), PLS, and least squares-support vector machine (LS-SVM) were used for calibration. The DOSC–SPA–LS-SVM model achieved the best prediction performance with correlation coefficients r = 0.9968 and root mean squares error of prediction (RMSEP) = 0.2950 comparing all SPA–MLR, SPA–PLS, and SPA–LS-SVM models. Some parsimonious direct functions were also developed based on the DOSC–SPA wavelength (1,340 nm) such as linear, index, logarithmic, binominal, and exponential functions. The best performance was achieved by direct exponential function with r = 0.9968 and RMSEP = 0.2943. The overall results indicated that NIR was able to determine the TAA in herbicide-stressed oilseed rape leaves, and the DOSC–SPA was quite helpful for the development of detection sensors and the monitoring of the growing status and herbicide effect on field crop oilseed rape.

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References

  • Abdel-Nour, N., Ngadi, M., Prasher, S., & Karimi, Y. (2009). Prediction of egg freshness and albumen quality using visible/near infrared spectroscopy. Food and Bioprocess Technology. doi:10.1007/s11947-009-0265-0.

    Google Scholar 

  • Araújo, M. C. U., Saldanha, T. C. B., Galvão, R. K. H., Yoneyama, T., Chame, H. C., & Visani, V. (2001). The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemometrics and Intelligent Laboratory Systems, 57, 65–73.

    Article  Google Scholar 

  • Broatch, J. S., Dosdall, L. M., O’Donovan, J. T., Harker, K. N., & Clayton, G. W. (2008). Herbicide rate effects on weed and root maggot dynamics in canola. Weed Science, 56(3), 477–483.

    Article  CAS  Google Scholar 

  • Chen, J., Yuan, J., Liu, J. D., Fu, Q. M., & Wu, J. (2005). Mechanism of action of the novel herbicide ZJ0273. Acta Phytophylacica Sinica, 32, 48–52.

    Google Scholar 

  • Chen, X. J., Wu, D., He, Y., & Liu, S. (2009). Nondestructive differentiation of panax species using visible and shortwave near-infrared spectroscopy. Food and Bioprocess Technology. doi:10.1007/s11947-009-0199-6.

    Google Scholar 

  • Chu, X. L., Yuan, H. F., & Lu, W. Z. (2004). Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique. Progress in Chemistry, 16, 528–542.

    CAS  Google Scholar 

  • Cowe, I. A., Koester, S., Paul, C., McNicol, J. W., & Cuthbertson, D. C. (1998). Principal component analysis of near infrared spectra of whole and ground oilseed rape (Brassica napus L.) samples. Chemometrics and Intelligent Laboratory Systems, 3, 233–242.

    Article  Google Scholar 

  • Daszykowski, M., Wrobel, M. S., Czarnik-Matusewicz, H., & Walczak, B. (2008). Near-infrared reflectance spectroscopy and multivariate calibration techniques applied to modeling the crude protein, fibre and fat content in rapeseed meal. The Analyst, 133, 1523–1531.

    Article  CAS  Google Scholar 

  • Fang, H., Song, H. Y., Cao, F., He, Y., & Qiu, Z. J. (2007). Study on the relationship between spectral properties of oilseed rape leaves and their chlorophyll content. Spectroscopy and Spectral Analysis, 27, 1731–1734.

    CAS  Google Scholar 

  • Galvão, R. K. H., Araújo, M. C. U., Fragoso, W. D., Silva, E. C., José, G. E., Soares, S. F. C., et al. (2008). A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm. Chemometrics and Intelligent Laboratory Systems, 92, 83–91.

    Article  Google Scholar 

  • Huang, J. F., Wang, Y., Wang, F. M., & Liu, Z. Y. (2006). Red edge characteristics and leaf area index estimation model using hyperspectral data for rape. Transactions of the CSAE, 22, 22–26.

    Google Scholar 

  • Li, X. L., & He, Y. (2010). Evaluation of least squares support vector machine regression and other multivariate calibrations in determination of internal attributes of tea beverages. Food and Bioprocess Technology, 3, 651–661.

    Article  Google Scholar 

  • Lisiewska, Z., Kmiecik, W., & Korus, A. (2008). The amino acid composition of kale (Brassica oleracea L. var. acephala), fresh and after culinary and technological processing. Food Chemistry, 108, 642–648.

    Article  CAS  Google Scholar 

  • Liu, F., & He, Y. (2009). Discrimination of producing areas of Auricularia auricula using visible/near infrared spectroscopy. Food and Bioprocess Technology. doi:10.1007/s11947-008-0174-7.

    Google Scholar 

  • Liu, F., Zhang, F., Jin, Z. L., He, Y., Fang, H., Ye, Q. F., et al. (2008a). Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near infrared spectroscopy. Analytica Chimica Acta, 629, 56–65.

    Article  CAS  Google Scholar 

  • Liu, F., He, Y., & Wang, L. (2008b). Comparison of calibrations for the determination of soluble solids content and pH of rice vinegars using visible and short-wave near infrared spectroscopy. Analytica Chimica Acta, 610, 196–204.

    Article  CAS  Google Scholar 

  • Liu, F., Fang, H., Zhang, F., Jin, Z. L., Zhou, W. J., & He, Y. (2009a). Nondestructive determination of acetolactate synthase in oilseed rape leaves using visible and near infrared spectroscopy. Chinese Journal of Analytical Chemistry, 37, 67–71.

    Google Scholar 

  • Liu, F., Zhang, F., Fang, H., Jin, Z. L., Zhou, W. J., & He, Y. (2009b). Application of successive projections algorithm for nondestructive determination of total amino acids in oilseed rape leaves. Spectroscopy and Spectral Analysis, 29, 3079–3083.

    CAS  Google Scholar 

  • Liu, F., Jiang, Y. H., & He, Y. (2009c). Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: a case study to determine soluble solids content of beer. Analytica Chimica Acta, 635, 45–52.

    Article  CAS  Google Scholar 

  • Momoh, E. J. J., & Zhou, W. (2001). Growth and yield responses to plant density and stage of transplanting in winter oilseed rape (Brassica napus L.). Journal of Agronomy and Crop Science, 186, 253–259.

    Article  Google Scholar 

  • Næs, T., & Mevik, B. H. (2001). Understanding the collinearity problem in regression and discriminant analysis. Journal of Chemometrics, 15, 413–426.

    Article  Google Scholar 

  • Shao, Y. N., & He, Y. (2009). Measurement of soluble solids content and pH of yogurt using visible/near infrared spectroscopy and chemometrics. Food and Bioprocess Technology, 2, 229–233.

    Article  CAS  Google Scholar 

  • Shao, Y. N., Zhao, C. J., Bao, Y. D., & He, Y. (2009). Quantification of nitrogen status in rice by least squares support vector machines and reflectance spectroscopy. Food and Bioprocess Technology. doi:10.1007/s11947-009-0267-y.

    Google Scholar 

  • Song, W. J., Zhou, W. J., Jin, Z. L., Zhang, D., Yoneyama, K., Takeuchi, Y., et al. (2006). Growth regulators restore germination of Orobanche seeds that are conditioned under water stress and suboptimal temperature. Australian Journal of Agricultural Research, 57, 1195–1201.

    Article  CAS  Google Scholar 

  • Suykens, J. A. K., Van Gestel, T., De Brabanter, J., De Moor, B., & Vandewalle, J. (2002). Least squares support vector machines. Singapore: World Scientific.

    Book  Google Scholar 

  • Tang, Q. H., Chen, J., & Lu, L. (2005). An innovative research for novel rape herbicide ZJ0273. Chinese Journal of Pesticide Science, 44, 496–502.

    CAS  Google Scholar 

  • Wang, Y., Huang, J. F., Wang, F. M., & Liu, Z. Y. (2008). Predicting nitrogen concentrations from hyperspectral reflectance at leaf and canopy for rape. Spectroscopy and Spectral Analysis, 28, 273–277.

    Google Scholar 

  • Westerhuis, J. A., De Jong, S., & Smilde, A. K. (2001). Direct orthogonal signal correction. Chemometrics and Intelligent Laboratory Systems, 56, 13–25.

    Article  CAS  Google Scholar 

  • Workman, J., Jr., & Weyer, L. (2008). Practical guide to interpretive near-infrared spectroscopy. Boca Raton: CRC.

    Google Scholar 

  • Yan, Y. L., Zhao, L. L., Han, D. H., & Yang, S. M. (2005). The foundation and application of near-infrared spectroscopy analysis. Beijing: China Light Industry.

    Google Scholar 

  • Zhang, F., Jin, Z. L., Naeem, M. S., Ahmed, Z. I., Gong, H. J., Lu, L., et al. (2009). Spatial and temporal changes in acetolactate synthase activity as affected by new herbicide ZJ0273 in rapeseed, barley and water chickweed. Pesticide Biochemistry and Physiology, 95, 63–71.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by Zhejiang Provincial Natural Science Foundation of China (Z3090295, Y3080277), Important Zhejiang Provincial Science & Technology Specific Projects (2009C12002), the National Natural Science Foundation of China (31071332, 60802038), Natural Science Foundation of Ningbo (2009A610173), the Fundamental Research Funds for the Central Universities, and Zhejiang Innovation Program for Graduates (YK2008014).

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Correspondence to Yong He or Weijun J. Zhou.

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Liu, F., Jin, Z.L., Naeem, M.S. et al. Applying Near-Infrared Spectroscopy and Chemometrics to Determine Total Amino Acids in Herbicide-Stressed Oilseed Rape Leaves. Food Bioprocess Technol 4, 1314–1321 (2011). https://doi.org/10.1007/s11947-010-0445-y

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