Rapid Determination of Enantiomeric Excess of Tert-Butoxycarbonyl (BOC-Protected) Amino Acids Based on Infrared Spectra Technique with Optimal Wavelet Packet Transform Decomposition Frequency Band

Zhu, Xiaodong; Huang, Guangzao; Su-qin, Luo; Guan, Xiaochun; Chen, Xiaojing

doi:10.1080/00032719.2012.726678

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…Least-squares support vector machine (LS-SVM) is an optimized version of the standard SVM method. It uses a nonlinear map function to map the input features to a high-dimensional space and a Lagrange multiplier to calculate the partial differential of each feature to obtain the optimal solution 27 . We used the radial basis function (RBF) kernel as the kernel function of the LS-SVM and the grid-search algorithm to determine the regularization parameter c and the RBF kernel function parameter γ 2 .…”

Section: Methodsmentioning

confidence: 99%

Early detection of germinated wheat grains using terahertz image and chemometrics

Jiang

Lian

et al. 2016

Sci Rep

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In this paper, we propose a feasible tool that uses a terahertz (THz) imaging system for identifying wheat grains at different stages of germination. The THz spectra of the main changed components of wheat grains, maltose and starch, which were obtained by THz time spectroscopy, were distinctly different. Used for original data compression and feature extraction, principal component analysis (PCA) revealed the changes that occurred in the inner chemical structure during germination. Two thresholds, one indicating the start of the release of α-amylase and the second when it reaches the steady state, were obtained through the first five score images. Thus, the first five PCs were input for the partial least-squares regression (PLSR), least-squares support vector machine (LS-SVM), and back-propagation neural network (BPNN) models, which were used to classify seven different germination times between 0 and 48 h, with a prediction accuracy of 92.85%, 93.57%, and 90.71%, respectively. The experimental results indicated that the combination of THz imaging technology and chemometrics could be a new effective way to discriminate wheat grains at the early germination stage of approximately 6 h.

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Section: Methodsmentioning

confidence: 99%

Early detection of germinated wheat grains using terahertz image and chemometrics

Jiang

Lian

et al. 2016

Sci Rep

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“…They have the advantages of rapidity, simplicity, accuracy, low maintenance cost, and minimal sample preparation. IR represents a direct absorption of light in the mid-infrared region, which contains useful information of the fundamental absorptions of hydrogen-containing bonds (O–H, C–H, N–H, S–H, and P–H) . Raman spectroscopy is based on inelastic scattering of light that occurs when laser light interacts with molecules and condensed matter .…”

Section: Introductionmentioning

confidence: 99%

“…IR represents a direct absorption of light in the mid-infrared region, which contains useful information of the fundamental absorptions of hydrogen-containing bonds (O−H, C−H, N−H, S−H, and P−H). 6 Raman spectroscopy is based on inelastic scattering of light that occurs when laser light interacts with molecules and condensed matter. 7 Both spectroscopies are nonperturbing rapid techniques that could detect the vibration information of different functional groups of biomolecules such as proteins, lipids, and carbohydrates in biological tissues and cells.…”

Section: ■ Introductionmentioning

confidence: 99%

Feasibility of Infrared and Raman Spectroscopies for Identification of Juvenile Black Seabream (Sparus macrocephalus) Intoxicated by Heavy Metals

Chen

Guan

et al. 2013

J. Agric. Food Chem.

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The potential application of infrared and Raman spectroscopies was explored as rapid and nondestructive tools for the identification of juvenile black seabream samples intoxicated by heavy metals (Zn, Cu, and Cd). Discrimination models were established on the basis of the infrared and Raman spectral data using three calibration methods, namely, partial least-squares discriminant analysis, least-squares support vector machines, and random forest. The combination of two spectroscopies was studied, in which three combination strategies were proposed and compared. Discrimination models achieved overall correct discriminations of 100% for identifying the fish intoxicated by one heavy metal or the heavy metal mixture. When samples intoxicated by different heavy metals were analyzed together, the discrimination accuracy remained >90%. Results confirmed the possibility of developing fast and reliable systems for the identification of juvenile black seabream intoxicated by heavy metals based on infrared and Raman spectroscopies.

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Potential of spectroscopic techniques and chemometric analysis for rapid measurement of docosahexaenoic acid and eicosapentaenoic acid in algal oil

Wu¹,

He²

2014

Food Chemistry

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Rapid Determination of Enantiomeric Excess of Tert-Butoxycarbonyl (BOC-Protected) Amino Acids Based on Infrared Spectra Technique with Optimal Wavelet Packet Transform Decomposition Frequency Band

Cited by 7 publications

References 26 publications

Early detection of germinated wheat grains using terahertz image and chemometrics

Early detection of germinated wheat grains using terahertz image and chemometrics

Feasibility of Infrared and Raman Spectroscopies for Identification of Juvenile Black Seabream (Sparus macrocephalus) Intoxicated by Heavy Metals

Potential of spectroscopic techniques and chemometric analysis for rapid measurement of docosahexaenoic acid and eicosapentaenoic acid in algal oil

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