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Fast analysis of superoxide dismutase (SOD) activity in barley leaves using visible and near infrared spectroscopy.

Kong W, Zhao Y, Liu F, He Y, Tian T, Zhou W - Sensors (Basel) (2012)

Bottom Line: Seven different spectra preprocessing methods were compared.The results indicated that Savitzky-Golay smoothing (SG) and multiplicative scatter correction (MSC) should be selected as the optimum preprocessing methods.The conclusion was that Vis/NIR spectroscopy combined with multivariate analysis could be successfully applied for the fast estimation of SOD activity in barley leaves.

View Article: PubMed Central - PubMed

Affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. zjukww@163.com

ABSTRACT
Visible and near infrared (Vis/NIR) spectroscopy was investigated for the fast analysis of superoxide dismutase (SOD) activity in barley (Hordeum vulgare L.) leaves. Seven different spectra preprocessing methods were compared. Four regression methods were used for comparison of prediction performance, including partial least squares (PLS), multiple linear regression (MLR), least squares-support vector machine (LS-SVM) and Gaussian process regress (GPR). Successive projections algorithm (SPA) and regression coefficients (RC) were applied to select effective wavelengths (EWs) to develop more parsimonious models. The results indicated that Savitzky-Golay smoothing (SG) and multiplicative scatter correction (MSC) should be selected as the optimum preprocessing methods. The best prediction performance was achieved by the LV-LS-SVM model on SG spectra, and the correlation coefficients (r) and root mean square error of prediction (RMSEP) were 0.9064 and 0.5336, respectively. The conclusion was that Vis/NIR spectroscopy combined with multivariate analysis could be successfully applied for the fast estimation of SOD activity in barley leaves.

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(a) Original spectra of Barley Leaves; preprocessed spectra by (b) Savitzky-Golay Smoothing (SG); (c) Multiplicative Scatter Correction (MSC).
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f1-sensors-12-10871: (a) Original spectra of Barley Leaves; preprocessed spectra by (b) Savitzky-Golay Smoothing (SG); (c) Multiplicative Scatter Correction (MSC).

Mentions: Figure 1(a) shows the original visible/near infrared reflectance spectra of 75 barley leaves. The processed spectra by SG and MSC were shown in Figure 1(b,c). As can be seen, the trends of all samples were quite similar. There were a significant reflectance peak around 550 nm and an absorbance peak around 680 nm. This was caused by chlorophyll and showed a typical green plant spectral curve. The MSC preprocessed spectra in Figure 1(c) removed the baseline shift and improved the reproducibility. The statistical values of activity of SOD in barley leaves are shown in Table 1.


Fast analysis of superoxide dismutase (SOD) activity in barley leaves using visible and near infrared spectroscopy.

Kong W, Zhao Y, Liu F, He Y, Tian T, Zhou W - Sensors (Basel) (2012)

(a) Original spectra of Barley Leaves; preprocessed spectra by (b) Savitzky-Golay Smoothing (SG); (c) Multiplicative Scatter Correction (MSC).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472862&req=5

f1-sensors-12-10871: (a) Original spectra of Barley Leaves; preprocessed spectra by (b) Savitzky-Golay Smoothing (SG); (c) Multiplicative Scatter Correction (MSC).
Mentions: Figure 1(a) shows the original visible/near infrared reflectance spectra of 75 barley leaves. The processed spectra by SG and MSC were shown in Figure 1(b,c). As can be seen, the trends of all samples were quite similar. There were a significant reflectance peak around 550 nm and an absorbance peak around 680 nm. This was caused by chlorophyll and showed a typical green plant spectral curve. The MSC preprocessed spectra in Figure 1(c) removed the baseline shift and improved the reproducibility. The statistical values of activity of SOD in barley leaves are shown in Table 1.

Bottom Line: Seven different spectra preprocessing methods were compared.The results indicated that Savitzky-Golay smoothing (SG) and multiplicative scatter correction (MSC) should be selected as the optimum preprocessing methods.The conclusion was that Vis/NIR spectroscopy combined with multivariate analysis could be successfully applied for the fast estimation of SOD activity in barley leaves.

View Article: PubMed Central - PubMed

Affiliation: College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. zjukww@163.com

ABSTRACT
Visible and near infrared (Vis/NIR) spectroscopy was investigated for the fast analysis of superoxide dismutase (SOD) activity in barley (Hordeum vulgare L.) leaves. Seven different spectra preprocessing methods were compared. Four regression methods were used for comparison of prediction performance, including partial least squares (PLS), multiple linear regression (MLR), least squares-support vector machine (LS-SVM) and Gaussian process regress (GPR). Successive projections algorithm (SPA) and regression coefficients (RC) were applied to select effective wavelengths (EWs) to develop more parsimonious models. The results indicated that Savitzky-Golay smoothing (SG) and multiplicative scatter correction (MSC) should be selected as the optimum preprocessing methods. The best prediction performance was achieved by the LV-LS-SVM model on SG spectra, and the correlation coefficients (r) and root mean square error of prediction (RMSEP) were 0.9064 and 0.5336, respectively. The conclusion was that Vis/NIR spectroscopy combined with multivariate analysis could be successfully applied for the fast estimation of SOD activity in barley leaves.

Show MeSH
Related in: MedlinePlus