scholarly journals Hand-held Optical Fiber Smartphone Spectrometer for Classification of Vegetable Oils

2016 ◽  
Author(s):  
Md Arafat Hossain ◽  
John Canning ◽  
Kevin Cook ◽  
Abbas Jamalipour
Keyword(s):  
Optical Fiber ◽  
Vegetable Oils

Fast-HPLC Fingerprinting to Discriminate Olive Oil from Other Edible Vegetable Oils by Multivariate Classification Methods

2017 ◽  
Vol 100 (2) ◽  
pp. 345-350 ◽  
Author(s):  
Ana M Jiménez-Carvelo ◽  
Antonio González-Casado ◽  
Estefanía Pérez-Castaño ◽  
Luis Cuadros-Rodríguez
Keyword(s):  
Olive Oil ◽  
Vegetable Oils ◽  
Edible Oils ◽  
Support Vector ◽  
Classification Methods ◽  
Multivariate Classification ◽  
Chromatographic Fingerprint ◽  
K Nearest Neighbors ◽  
Pls Discriminant Analysis

Abstract A new analytical method for the differentiation of olive oil from other vegetable oils using reversed-phaseLC and applying chemometric techniques was developed. A 3 cm short column was used to obtain the chromatographic fingerprint of the methyl-transesterified fraction of each vegetable oil. The chromatographic analysis tookonly 4 min. The multivariate classification methods used were k-nearest neighbors, partial least-squares (PLS) discriminant analysis, one-class PLS, support vector machine classification, and soft independent modeling of class analogies. The discrimination of olive oil from other vegetable edible oils was evaluated by several classification quality metrics. Several strategies for the classification of the olive oil wereused: one input-class, two input-class, and pseudo two input-class.

scholarly journals CERTIFICATION OF VEGETABLE OILS AND QUALITY CONTROL IN THE TECHNOLOGICAL PROCESS OF PRODUCTION

2019 ◽  
Vol 2019 (4) ◽  
pp. 119-126
Author(s):  
CH Bekmurotov ◽  
Keyword(s):  
Quality Control ◽  
Technological Process ◽  
Vegetable Oils ◽  
Raw Materials ◽  
Cottonseed Oil ◽  
Product Classification ◽  
Cotton Seeds ◽  
The Cost

The article reviewed the certification and quality control of the technological process for the production of vegetable oil. There is a procedure for packaging, quality control of products, determination of quality indicators and quality control of finished products. The procedure for using refined cottonseed oil and its varieties, the requirements for placement and storage of vegetable oils, as specified in the regulatory documents, the quality control of vegetable oils and other solutions for cottonseed oil are provided. The gas analyzer shows a solution for measuring the amount of solution by painting the tubes of a mixture of gas and air in oil. Detailed information on the production of vegetable oils, the cost of raw materials, the level of fat content of cotton seeds and the methods used to produce oil from cotton seeds. Methods for certification of vegetable oils, types of quality control, methods of testing and quality determination are presented. It was shown that the procedure for refined production of cottonseed oils and their types, as well as the state of the product classification of products based on the method of producing vegetable oils for consumer purposes, analysis of the sequence of refined oils and refining processes.

scholarly journals Fluoresence Spectra From Vegetable Oils Using Violet And Blue Ld/Led Exitation And An Optical Fiber Spectrometer

2014 ◽  
Vol 17 (6) ◽  
pp. 1211-1223 ◽  
Author(s):  
K. Nikolova ◽  
M. Zlatanov ◽  
T. Eftimov ◽  
D. Brabant ◽  
S. Yosifova ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Vegetable Oils

FBG Intrusion Recognition Algorithm Based on SVM

2012 ◽  
Vol 591-593 ◽  
pp. 1422-1427 ◽  
Author(s):  
Jian Wang
Keyword(s):  
Optical Fiber ◽  
Frequency Band ◽  
Time Domain ◽  
Recognition Algorithm ◽  
Vibration Sensor ◽  
Weighting Coefficient ◽  
Support Vector ◽  
Fiber Grating ◽  
University Of Technology

The perimeter security alarm system, with the core of vibration sensor based on FBG optical fiber invented by Wuhan University of Technology optical fiber research center, uses the changes of optical fiber grating stress wavelength to detect intrusion. As FBG wavelengths change when under stress, the intrusion detection is identified by the combination of signals time domain and frequency band domain. However, it is difficult to classify the data of signals time domain and frequency band domain because of the complexity of the actual conditions and the diversity of interference and intrusion. Therefore, applying SVM to train and process the classification features extracted from the various data acquisition can help to obtain the corresponding support vector and weighting coefficient. As a result, the effective classification of the field test data can be achieved by using SVM template method.

Quantification and classification of vegetable oils in extra virgin olive oil samples using a portable near-infrared spectrometer associated with chemometrics

2020 ◽  
Vol 159 ◽  
pp. 105544
Author(s):  
Flavia T. Borghi ◽  
Priscilla C. Santos ◽  
Francine D. Santos ◽  
Márcia H.C. Nascimento ◽  
Thayná Corrêa ◽  
...  
Keyword(s):  
Olive Oil ◽  
Vegetable Oils ◽  
Near Infrared ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer

Application of IR and UV–VIS spectroscopies and multivariate analysis for the classification of waste vegetable oils

2022 ◽  
Vol 178 ◽  
pp. 106088
Author(s):  
Alberto Mannu ◽  
Matteo Poddighe ◽  
Sebastiano Garroni ◽  
Luca Malfatti
Keyword(s):  
Multivariate Analysis ◽  
Vegetable Oils

Classification of Vegetable Oils by Principal Component Analysis of FTIR Spectra

2003 ◽  
Vol 80 (5) ◽  
pp. 541 ◽  
Author(s):  
David A. Rusak ◽  
Leah M. Brown ◽  
Scott D. Martin
Keyword(s):  
Principal Component Analysis ◽  
Vegetable Oils ◽  
Principal Component ◽  
Component Analysis ◽  
Ftir Spectra

Classification of optical fiber sensors

1998 ◽  
pp. 1-35
Author(s):  
K. T. V. Grattan ◽  
Y. N. Ning
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Fiber Sensors

Classification of edible vegetable oils using square wave voltammetry with multivariate data analysis

Talanta ◽  
2009 ◽  
Vol 77 (5) ◽  
pp. 1660-1666 ◽  
Author(s):  
F GAMBARRANETO ◽  
G MARINO ◽  
M ARAUJO ◽  
R GALVAO ◽  
M PONTES ◽  
...  
Keyword(s):  
Data Analysis ◽  
Vegetable Oils ◽  
Multivariate Data Analysis ◽  
Square Wave Voltammetry ◽  
Multivariate Data ◽  
Square Wave ◽  
Wave Voltammetry
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