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Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy.
Anal Chim Acta. 2008 Nov 23; 629(1-2):56-65.AC

Abstract

A new acetolactate synthase (ALS)-inhibiting herbicide, propyl 4-(2-(4,6-dimethoxypyrimidin-2-yloxy)benzylamino)benzoate (ZJ0273), was applied to oilseed rape (Brassica napus L.) leaves in different leaf positions. Visible/near-infrared (Vis/NIR) spectroscopy was investigated for fast and non-destructive determination of ALS activity and protein content in rapeseed leaves. Partial least squares (PLS) analysis was the calibration method with comparison of different spectral preprocessing by Savitzky-Golay (SG) smoothing, standard normal variate (SNV), first and second derivative. The best PLS models were obtained by first-derivative spectra for ALS, whereas original spectra for soluble, non-soluble and total protein contents. Simultaneously, certain latent variables (LVs) were used as the inputs of back-propagation neural network (BPNN) and least squares-support vector machine (LS-SVM) models. All LS-SVM models outperformed PLS models and BPNN models. The correlation coefficient (r), root mean square error of prediction (RMSEP) and bias in validation set by LS-SVM were 0.998, 0.715 and 0.079 for ALS, 0.999, 33.084 and 1.178 for soluble protein, 0.997, 42.773 and 6.244 for non-soluble protein, 0.999, 59.562 and 7.437 for total protein, respectively. The results indicated that Vis/NIR spectroscopy combined with LS-SVM could be successfully applied for the determination of ALS activity and protein content of rapeseed leaves. The results would be helpful for further on field analysis of using Vis/NIR spectroscopy to monitor the growing status and physiological properties of oilseed rape.

Authors+Show Affiliations

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

18940321

Citation

Liu, Fei, et al. "Determination of Acetolactate Synthase Activity and Protein Content of Oilseed Rape (Brassica Napus L.) Leaves Using Visible/near-infrared Spectroscopy." Analytica Chimica Acta, vol. 629, no. 1-2, 2008, pp. 56-65.
Liu F, Zhang F, Jin Z, et al. Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. Anal Chim Acta. 2008;629(1-2):56-65.
Liu, F., Zhang, F., Jin, Z., He, Y., Fang, H., Ye, Q., & Zhou, W. (2008). Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. Analytica Chimica Acta, 629(1-2), 56-65. https://doi.org/10.1016/j.aca.2008.09.027
Liu F, et al. Determination of Acetolactate Synthase Activity and Protein Content of Oilseed Rape (Brassica Napus L.) Leaves Using Visible/near-infrared Spectroscopy. Anal Chim Acta. 2008 Nov 23;629(1-2):56-65. PubMed PMID: 18940321.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Determination of acetolactate synthase activity and protein content of oilseed rape (Brassica napus L.) leaves using visible/near-infrared spectroscopy. AU - Liu,Fei, AU - Zhang,Fan, AU - Jin,Zonglai, AU - He,Yong, AU - Fang,Hui, AU - Ye,Qingfu, AU - Zhou,Weijun, Y1 - 2008/09/17/ PY - 2008/03/30/received PY - 2008/07/31/revised PY - 2008/09/09/accepted PY - 2008/10/23/pubmed PY - 2009/2/12/medline PY - 2008/10/23/entrez SP - 56 EP - 65 JF - Analytica chimica acta JO - Anal Chim Acta VL - 629 IS - 1-2 N2 - A new acetolactate synthase (ALS)-inhibiting herbicide, propyl 4-(2-(4,6-dimethoxypyrimidin-2-yloxy)benzylamino)benzoate (ZJ0273), was applied to oilseed rape (Brassica napus L.) leaves in different leaf positions. Visible/near-infrared (Vis/NIR) spectroscopy was investigated for fast and non-destructive determination of ALS activity and protein content in rapeseed leaves. Partial least squares (PLS) analysis was the calibration method with comparison of different spectral preprocessing by Savitzky-Golay (SG) smoothing, standard normal variate (SNV), first and second derivative. The best PLS models were obtained by first-derivative spectra for ALS, whereas original spectra for soluble, non-soluble and total protein contents. Simultaneously, certain latent variables (LVs) were used as the inputs of back-propagation neural network (BPNN) and least squares-support vector machine (LS-SVM) models. All LS-SVM models outperformed PLS models and BPNN models. The correlation coefficient (r), root mean square error of prediction (RMSEP) and bias in validation set by LS-SVM were 0.998, 0.715 and 0.079 for ALS, 0.999, 33.084 and 1.178 for soluble protein, 0.997, 42.773 and 6.244 for non-soluble protein, 0.999, 59.562 and 7.437 for total protein, respectively. The results indicated that Vis/NIR spectroscopy combined with LS-SVM could be successfully applied for the determination of ALS activity and protein content of rapeseed leaves. The results would be helpful for further on field analysis of using Vis/NIR spectroscopy to monitor the growing status and physiological properties of oilseed rape. SN - 1873-4324 UR - https://www.unboundmedicine.com/medline/citation/18940321/Determination_of_acetolactate_synthase_activity_and_protein_content_of_oilseed_rape__Brassica_napus_L___leaves_using_visible/near_infrared_spectroscopy_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0003-2670(08)01618-8 DB - PRIME DP - Unbound Medicine ER -