Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review

Geographic authentication of Asian rice ( Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis

(2018) Ill-Min Chung et al.   FOOD CHEMISTRY

Monitoring of Paddy Rice Varieties Based on the Combination of the Laser-Induced Fluorescence and Multivariate Analysis

(2017) Jian Yang et al.   Food Analytical Methods

Discrimination of red and white rice bran from Indonesia using HPLC fingerprint analysis combined with chemometrics

(2017) Aryani Sabir et al.   FOOD CHEMISTRY

Combination of mass spectrometry-based targeted lipidomics and supervised machine learning algorithms in detecting adulterated admixtures of white rice

(2017) Dong Kyu Lim et al.   FOOD RESEARCH INTERNATIONAL

1 H NMR-based metabolomics for discrimination of rice from different geographical origins of China

(2017) Yinqiang Huo et al.   JOURNAL OF CEREAL SCIENCE

Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry

(2016) Camila Maione et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identifying rice grains using image analysis and sparse-representation-based classification

(2016) Tzu-Yi Kuo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis

(2016) Camila Maione et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of terahertz spectroscopy imaging for discrimination of transgenic rice seeds with chemometrics

(2016) Wei Liu et al.   FOOD CHEMISTRY

Milk authentication and discrimination via metal content clustering – A case of comparing milk from Malaysia and selected countries of the world

(2016) Sharifuddin M. Zain et al.   FOOD CONTROL

Efficient technique for rice grain classification using back-propagation neural network and wavelet decomposition

(2016) Ksh. Robert Singh et al.   IET Computer Vision

Elemental imaging and classifying rice grains by using laser ablation inductively coupled plasma mass spectrometry and linear discriminant analysis

(2016) J. Promchan et al.   JOURNAL OF CEREAL SCIENCE

Recognition of organic rice samples based on trace elements and support vector machines

(2016) Rommel M. Barbosa et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Establishing chemical profiling for ecstasy tablets based on trace element levels and support vector machine

(2016) Camila Maione et al.   NEURAL COMPUTING & APPLICATIONS

A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry

(2015) Rommel M. Barbosa et al.   FOOD CHEMISTRY

Monitoring the authenticity of organic rice via chemometric analysis of elemental data

(2015) Endler Marcel Borges et al.   FOOD RESEARCH INTERNATIONAL

Discrimination of geographical origin of rice (Oryza sativa L.) by multielement analysis using inductively coupled plasma atomic emission spectroscopy and multivariate analysis

(2015) Ill-Min Chung et al.   JOURNAL OF CEREAL SCIENCE

Qualitative classification of milled rice grains using computer vision and metaheuristic techniques

(2015) Hemad Zareiforoush et al.   JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE

Assessing the relative importance of climate variables to rice yield variation using support vector machines

(2015) Hui Chen et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Rice Fortification: An Emerging Opportunity to Contribute to the Elimination of Vitamin and Mineral Deficiency Worldwide

(2015) Sumithra Muthayya et al.   FOOD AND NUTRITION BULLETIN

An overview of global rice production, supply, trade, and consumption

(2014) Sumithra Muthayya et al.   Annals of the New York Academy of Sciences

Classification of Rice by Combining Electronic Tongue and Nose

(2014) Lin Lu et al.   Food Analytical Methods

Classification of colonic tissues using near-infrared Raman spectroscopy and support vector machines

(2014) Effendi Widjaja et al.   INTERNATIONAL JOURNAL OF ONCOLOGY

Rice Consumption and Urinary Arsenic Concentrations in U.S. Children

(2013) Matthew A. Davis et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Discrimination of geographical origin of rice based on multi-element fingerprinting by high resolution inductively coupled plasma mass spectrometry

(2013) Pracha Cheajesadagul et al.   FOOD CHEMISTRY

The use of advanced chemometric techniques and trace element levels for controlling the authenticity of organic coffee

(2013) Rommel Melgaço Barbosa et al.   FOOD RESEARCH INTERNATIONAL

Elemental fingerprinting of soils using ICP-MS and multivariate statistics: A study for and by forensic chemistry majors

(2013) Lorlyn Reidy et al.   FORENSIC SCIENCE INTERNATIONAL

Profiling the ionome of rice and its use in discriminating geographical origins at the regional scale, China

(2013) Gang Li et al.   JOURNAL OF ENVIRONMENTAL SCIENCES

Preliminary study on classification of rice and detection of paraffin in the adulterated samples by Raman spectroscopy combined with multivariate analysis

(2013) Xinwei Feng et al.   TALANTA

Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique

(2012) Jeroen D’Haen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-element determination in Brazilian honey samples by inductively coupled plasma mass spectrometry and estimation of geographic origin with data mining techniques

(2012) B.L. Batista et al.   FOOD RESEARCH INTERNATIONAL

Classification of rice cultivars based on cluster analysis of hydration and pasting properties of their starches

(2012) Inae Lee et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Enhanced Raman spectroscopic discrimination of the geographical origins of rice samples via transmission spectral collection through packed grains

(2012) Jinyoung Hwang et al.   TALANTA

Recognition of the geographical origin of beer based on support vector machines applied to chemical descriptors

(2011) Ángela Alcázar et al.   FOOD CONTROL

Speciation of arsenic in rice and estimation of daily intake of different arsenic species by Brazilians through rice consumption

(2011) Bruno L. Batista et al.   JOURNAL OF HAZARDOUS MATERIALS

Rice consumption contributes to arsenic exposure in US women

(2011) D. Gilbert-Diamond et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Support vector machine method on predicting resistance gene against Xanthomonas oryzae pv. oryzae in rice

(2010) Jingbo Xia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Geographical traceability of “Arròs de Valencia” rice grain based on mineral element composition

(2010) A. Gonzálvez et al.   FOOD CHEMISTRY

Near-infrared (NIR) spectroscopy for motor oil classification: From discriminant analysis to support vector machines

(2010) Roman M. Balabin et al.   MICROCHEMICAL JOURNAL

Cluster Analysis on Japonica Rice (Oryza sativa L.) with Good Eating Quality Based on SSR Markers and Phenotypic Traits

(2010) Chun-hong ZHANG et al.   Rice Science

Quantification of Nitrogen Status in Rice by Least Squares Support Vector Machines and Reflectance Spectroscopy

(2009) Yongni Shao et al.   Food and Bioprocess Technology

Rice Consumption in the United States: Recent Evidence from Food Consumption Surveys

(2009) S. Patricia Batres-Marquez et al.   JOURNAL OF THE AMERICAN DIETETIC ASSOCIATION