Fluorescence Spectroscopy Characteristics of Radix Salviae Miltiorrhizae Powder Using Three-Dimensional Synchronous Fluorescence Combined with Parallel Factor Algorithm

PurposeParallel factor analysis (PARAFAC) coupled with support-vector machine (SVM) was carried out to identify and discriminate between the fluorescence spectroscopies of coconut water brands.Design/methodology/approachPARAFAC was applied to reduce three-dimensional data of excitation emission matrix (EEM) to two-dimensional data. SVM was applied to discriminate between six commercial coconut water brands in this study. The three largest variation data from fluorescence spectroscopy were extracted using the PARAFAC method as the input data of SVM classifiers.FindingsThe discrimination results of the six commercial coconut water brands were achieved by three SVM methods (Ga-SVM, PSO-SVM and Grid-SVM). The best classification accuracies were 100.00%, 96.43% and 94.64% for the training set, test set and CV accuracy.Originality/valueThe above results indicate that fluorescence spectroscopy combined with PARAFAC and SVM methods proved to be a simple and rapid detection method for coconut water and perhaps other beverages.

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Parallel factor (PARAFAC) analysis on total synchronous fluorescence spectroscopy (TSFS) data sets in excitation–emission matrix fluorescence (EEMF) layout: Certain practical aspects

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2015.08.008 ◽

2015 ◽

Vol 147 ◽

pp. 121-130 ◽

Cited By ~ 12

Author(s):

Keshav Kumar ◽

Ashok Kumar Mishra

Keyword(s):

Fluorescence Spectroscopy ◽

Synchronous Fluorescence ◽

Data Sets ◽

Synchronous Fluorescence Spectroscopy ◽

Excitation Emission Matrix ◽

Parallel Factor

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Hemp (Cannabis sativa L.) Seed Protein–EGCG Conjugates: Covalent Bonding and Functional Research

Foods ◽

10.3390/foods10071618 ◽

2021 ◽

Vol 10 (7) ◽

pp. 1618

Author(s):

Xin-Hui Pang ◽

Yang Yang ◽

Xin Bian ◽

Bing Wang ◽

Li-Kun Ren ◽

...

Keyword(s):

Particle Size ◽

Fluorescence Spectroscopy ◽

Cannabis Sativa ◽

Three Dimensional ◽

Epigallocatechin Gallate ◽

Particle Size Analysis ◽

Size Analysis ◽

Particle Size Data ◽

Covalently Bonded ◽

Covalently Linked

In order to make HPI have a wide application prospect in the food industry, we used EGCG to modify HPI. In this study, we prepared different concentrations (1, 2, 3, 4, and 5 mM) of (−)-epigallocatechin gallate (EGCG) covalently linked to HPI and use methods such as particle size analysis, circular dichroism (CD), and three-dimensional fluorescence spectroscopy to study the changes in the structure and functional properties of HPI after being covalently combined with EGCG. The particle size data indicated that the covalent HPI-EGCG complex was larger than native HPI, and the particle size was mainly distributed at about 200 μm. CD and three-dimensional fluorescence spectroscopy analyses showed that the conformation of the protein was changed by conjugation with EGCG. The β-sheet content decreased from 82.79% to 66.67% after EGCG bound to the protein, and the hydrophobic groups inside the protein were exposed, which increased the hydrophobicity of the protein and changed its conformation. After HPI and 1 mM of EGCG were covalently bonded, the solubility and emulsifying properties of the covalent complex were improved compared with native HPI. These results indicated that HPI-EGCG conjugates can be added in some foods.

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The Use of Right Angle Fluorescence Spectroscopy to Distinguish the Botanical Origin of Greek Common Honey Varieties

Applied Sciences ◽

10.3390/app11094047 ◽

2021 ◽

Vol 11 (9) ◽

pp. 4047

Author(s):

Marinos Xagoraris ◽

Panagiota-Kyriaki Revelou ◽

Eleftherios Alissandrakis ◽

Petros A. Tarantilis ◽

Christos S. Pappas

Keyword(s):

Fluorescence Spectroscopy ◽

External Validation ◽

Three Dimensional ◽

Excitation Wavelength ◽

Botanical Origin ◽

Linear Discriminant ◽

Classification Score ◽

Hydroxybenzoic Acids ◽

Unifloral Honey ◽

Novel Method

The standardization of the botanical origin of honey reflects the commercial value and quality of honey. Nowadays, most consumers are looking for a unifloral honey. The aim of the present study was to develop a novel method for honey classification using chemometric models based on phenolic compounds analyzed with right angle fluorescence spectroscopy, coupled with stepwise linear discriminant analysis (LDA). The deconstructed spectrum from three-dimensional-emission excitation matrix (3D-EEM) spectra provided a correct classification score of 94.9% calibration and cross-validation at an excitation wavelength (λex) of 330 nm. Subsequently, a score of 81.4% and 79.7%, respectively, at an excitation wavelength (λex) of 360 nm was achieved. Each chemometric model confirmed its power through the external validation with a score of 82.1% for both. Differentiation could be correlated with hydroxycinnamic and hydroxybenzoic acids, which absorb in this region of the spectrum. Fluorescence spectroscopy constitutes a rapid and sensitive technique, which, when combined with the stepwise algorithm and LDA method, can be used as a reliable and predictive authentication tool for honey. This study indicates that the developed methodology is a promising technique for determination of the botanical origin of common Greek honey varieties. Our long-term ambition is to support producers and suppliers to remain in a competitive national and international market.

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