A novel approach for the discriminant analysis of adulterated milk is proposed using synchronous–asynchronous two-dimensional correlation spectroscopy and NPLS-DA.

The discrimination analysis of adulterated milk has been carried out based on two-dimensional (2D) infrared correlation spectroscopy along with multivariate methods like kernel orthogonal projection to latent structure (K-OPLS), multi-way partial least squares discriminant (NPLS-DA), and unfolded (PLS-DA). 2D spectroscopy, due high spectral resolution good interpretation capabilities, is suitable for the complex biological data. 64 pure samples were measured in mid-infrared range 900–1700...

A new and accurate approach for classifying sesame oil adulterated with corn using the information fusion of synchronous asynchronous 2D NIR‐MIR correlation spectroscopy combined least squares support vector machines (LS‐SVM). N‐way partial square discriminant analysis (NPLS‐DA) was adopted to extract principal components matrices. And score matrices were emerged. Both separate emerged input LS‐SVM construct discriminate models oil. The ratios correct classification 98.1 100% calibration set...

An innovative method for the determination of concentration methanol in white spirit was proposed using two-dimensional near-infrared (NIR) correlation spectroscopy combination with multivariate calibration. A total 38 samples were adulterated level varying from 0.1 to 10%. one-dimensional NIR spectra all collected. Spectral characteristics studied based on and spectra. The origin 4396 cm−1 peak verified terms existence or absence cross-peaks synchronous asynchronous For comparison,...

A new discriminant method to classify adulterated milk and pure is proposed by combining the parameterization of two-dimensional (2D) correlation spectroscopy with least squares support vector machines (LS-SVM). 120 samples melamine, urea glucose were prepared their synchronous 2D spectra calculated. Then 5 statistical parameters, which mean, variance, standard deviation, skewness kurtosis, extracted based on theory. Finally, model was built these parameters LS-SVM. The ratios correct...

This paper deals with the application of a voltammetric electronic tongue towards discrimination various brands pure milk samples. The consists three working electrodes made gold, platinum and silver, applied waveform is staircase voltammetry. Both principle component analysis (PCA) partial least squares-discriminant (PLS-DA) were to evaluate data current responses electrode array. results indicate PCA can not completely identify whatever are from individual or all electrodes, but algorithm...

A new approach for qualitative analysis of milk adulterated with urea is proposed by multi-way principal component (MPCA) and partial least squares discriminant (NPLS-DA) based on voltammetric electronic tongue. 9 pure samples 11 different contents were prepared the current response values tongue measured consequently. MPCA was used to distinguish urea-tainted milk. Furthermore, a NPLS-DA model developed using first five components (PCs) according distribution PCs computed MPCA. It shown...

A new approach for discrimination of adulterated milk is reported using two-dimensional infrared (IR) correlation spectroscopy by multiway principal component analysis (MPCA) and least squares support vector machines (LS–SVM). First, the synchronous spectra pure were calculated. Then, MPCA was used to reduce dimensions, extract features data set, distinguish milk. Finally, a LS-SVM model developed scores first thirteen components from computed as input variables. The ratios correct...

This paper proposed a novel method for qualitative analysis of urea-tainted milk samples based on voltammetric electronic tongue coupled with multivariable method. The adopted three kinds metals, such as gold, platinum, and palladium, working electrodes. 26 pure different concentration values were prepared. measurement principles involved the extraction information from cyclic voltammograms recorded in unadulterated adulterated samples. response current electrodes has been considered data...

Microplastics (MPs), an emerging pollutant, widely co-occur with polycyclic aromatic hydrocarbons (PAHs) in the environment. Therefore, interaction between MPs and PAHs has been focus of much attention recent years. In this study, three types MPs, i.e., polypropylene, polystyrene, poly(vinyl chloride), same main chain were selected as adsorbents, phenanthrene (PHE) representative PAHs. The adsorption mechanisms explored from perspective molecular spectral level using a combination Fourier...

An innovative methodology was developed to detect adulteration of sesame oil with corn based on two-dimensional mid-infrared correlation spectroscopy multivariate calibration. Forty pure oils and 40 adulterated were prepared the infrared absorption spectra measured at room temperature, respectively. The synchronous calculated develop calibration models for oil. results showed higher classification accuracy 96.3% prediction set using N-way partial least square discriminant analysis, versus...

The driving technology is a very important factor influencing the output performances of white LED (WLED).This paper proposes kind high-stability driver for WLED based on constant-current and constant-luminance. working characteristics principle are introduced in this paper. newly designed works mode constant current LDO it feedback controlled by to obtain highly stable luminance. Finally, test circuit set up validate proposed scheme some experiments carried out. results show that maintains...