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

Food Chemistry

Volumn 141, Issue 4, 2013, Pages 3504-3509

  Cheajesadagul, Pracha ^a,b   Arnaudguilhem, Carine ^a   Shiowatana, Juwadee ^b   Siripinyanond, Atitaya ^b   Szpunar, Joanna ^a  

^a CNRS   (France)

^b MAHIDOL UNIVERSITY   (Thailand)

Author keywords

Geographical origin; HR ICP MS; Multi element fingerprinting; Multivariate statistical analysis; Rice; Source identification

Indexed keywords

AUTHENTICATION; CHEMICAL ANALYSIS; DATA HANDLING; DISCRIMINANT ANALYSIS; INDICATORS (CHEMICAL); INDUCTIVELY COUPLED PLASMA; INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY; INFORMATION ANALYSIS; MASS SPECTROMETERS; MASS SPECTROMETRY; MULTIVARIANT ANALYSIS; RADAR; SPECTROMETRY;

GEOGRAPHICAL ORIGINS; HR-ICP-MS; MULTI-ELEMENT; MULTIVARIATE STATISTICAL ANALYSIS; RICE; SOURCE IDENTIFICATION;

PRINCIPAL COMPONENT ANALYSIS;

BARIUM ION; CESIUM ION; COBALT; MANGANESE; RUBIDIUM ION; ZINC;

ANALYTIC METHOD; ARTICLE; CALIBRATION; DATA ANALYSIS; DISCRIMINANT ANALYSIS; FLOUR; FRANCE; GEOGRAPHIC ORIGIN; INDIA; ITALY; JAPAN; LIMIT OF DETECTION; MASS SPECTROMETRY; MEASUREMENT ACCURACY; MULTIELEMENT FINGERPRINTING; PAKISTAN; PRINCIPAL COMPONENT ANALYSIS; RADAR PLOT ANALYSIS; RICE; STATISTICAL ANALYSIS; THAILAND;

JASMINUM;

GEOGRAPHICAL ORIGIN; HR-ICP-MS; MULTI-ELEMENT FINGERPRINTING; MULTIVARIATE STATISTICAL ANALYSIS; RICE; SOURCE IDENTIFICATION;

DISCRIMINANT ANALYSIS; FLOUR; FOOD CONTAMINATION; FRANCE; GEOGRAPHY; INDIA; ITALY; MASS SPECTROMETRY; ORYZA SATIVA; PAKISTAN; QUALITY CONTROL; THAILAND;

EID: 84884623312     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2013.06.060     Document Type: Article

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