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Evaluating the potential of phenolic profiles as discriminant features among extra virgin olive oils from Moroccan controlled designations of origin
Evaluating the potential of phenolic profiles as discriminant features among extra virgin olive oils from Moroccan controlled designations of origin
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Evaluating the potential of phenolic profiles as discriminant features among extra virgin olive oils from Moroccan controlled designations of origin

Bajoub, Aadil ; Ajal, El Amine ; Fernández-Gutiérrez, Alberto ; Carrasco-Pancorbo, Alegría

Food research international, 2016-06, Vol.84, p.41-51 [Periódico revisado por pares]

Elsevier Ltd

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2
Discrimination of geographical origin and species of China's cattle bones based on multi-element analyses by inductively coupled plasma mass spectrometry
Discrimination of geographical origin and species of China's cattle bones based on multi-element analyses by inductively coupled plasma mass spectrometry
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Discrimination of geographical origin and species of China's cattle bones based on multi-element analyses by inductively coupled plasma mass spectrometry

Zhang, Hongru ; Liu, Wenyuan ; Shen, Qingshan ; Zhao, Laiyu ; Zhang, Chunhui ; Richel, Aurore

Food chemistry, 2021-09, Vol.356, p.129619-129619, Article 129619 [Periódico revisado por pares]

England: Elsevier Ltd

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3
Geographic determination of coffee beans using multi-element analysis and isotope ratios of boron and strontium
Geographic determination of coffee beans using multi-element analysis and isotope ratios of boron and strontium
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Geographic determination of coffee beans using multi-element analysis and isotope ratios of boron and strontium

Liu, Hou-Chun ; You, Chen-Feng ; Chen, Chiou-Yun ; Liu, Yu-Ching ; Chung, Ming-Tsung

Food chemistry, 2014-01, Vol.142, p.439-445 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis
Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis
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Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis

Giraudo, A. ; Grassi, S. ; Savorani, F. ; Gavoci, G. ; Casiraghi, E. ; Geobaldo, F.

Food control, 2019-05, Vol.99, p.137-145 [Periódico revisado por pares]

Elsevier Ltd

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5
Application of analytical methods in authentication and adulteration of honey
Application of analytical methods in authentication and adulteration of honey
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Application of analytical methods in authentication and adulteration of honey

Siddiqui, Amna Jabbar ; Musharraf, Syed Ghulam ; Choudhary, M. Iqbal ; Rahman, Atta-ur

Food chemistry, 2017-02, Vol.217, p.687-698 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Chemical characterization of four Brazilian brown propolis: An insight in tracking of its geographical location of production and quality control
Chemical characterization of four Brazilian brown propolis: An insight in tracking of its geographical location of production and quality control
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Chemical characterization of four Brazilian brown propolis: An insight in tracking of its geographical location of production and quality control

Olegário, Lary Souza ; Andrade, Julianna Karla Santana ; Andrade, George Ricardo Santana ; Denadai, Marina ; Cavalcanti, Ranielly Lira ; da Silva, Maria Aparecida Azevedo Pereira ; Narain, Narendra

Food research international, 2019-09, Vol.123, p.481-502 [Periódico revisado por pares]

Canada: Elsevier Ltd

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7
Geographical origin identification of two salmonid species via flavor compound analysis using headspace-gas chromatography-ion mobility spectrometry combined with electronic nose and tongue
Geographical origin identification of two salmonid species via flavor compound analysis using headspace-gas chromatography-ion mobility spectrometry combined with electronic nose and tongue
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Geographical origin identification of two salmonid species via flavor compound analysis using headspace-gas chromatography-ion mobility spectrometry combined with electronic nose and tongue

Duan, Zelin ; Dong, Shuanglin ; Dong, Yunwei ; Gao, Qinfeng

Food research international, 2021-07, Vol.145, p.110385-110385, Article 110385 [Periódico revisado por pares]

Elsevier Ltd

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8
Chemical profiling of guarana seeds (Paullinia cupana) from different geographical origins using UPLC-QTOF-MS combined with chemometrics
Chemical profiling of guarana seeds (Paullinia cupana) from different geographical origins using UPLC-QTOF-MS combined with chemometrics
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Chemical profiling of guarana seeds (Paullinia cupana) from different geographical origins using UPLC-QTOF-MS combined with chemometrics

da Silva, Givaldo Souza ; Canuto, Kirley Marques ; Ribeiro, Paulo Riceli Vasconcelos ; de Brito, Edy Sousa ; Nascimento, Madson Moreira ; Zocolo, Guilherme Julião ; Coutinho, Janclei Pereira ; de Jesus, Raildo Mota

Food research international, 2017-12, Vol.102, p.700-709 [Periódico revisado por pares]

Canada: Elsevier Ltd

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9
Challenges and a step forward in honey classification based on Raman spectroscopy
Challenges and a step forward in honey classification based on Raman spectroscopy
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Challenges and a step forward in honey classification based on Raman spectroscopy

Magdas, Dana Alina ; Guyon, Francois ; Berghian-Grosan, Camelia ; Muller Molnar, Csilla

Food control, 2021-05, Vol.123, p.107769, Article 107769 [Periódico revisado por pares]

Elsevier Ltd

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10
Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India
Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India
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Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India

Ch, Ratnasekhar ; Chevallier, Olivier ; McCarron, Philip ; McGrath, Terence F ; Wu, Di ; Nguyen Doan Duy, Le ; Kapil, Arun P ; McBride, Mary ; Elliott, Christopher T.

Food chemistry, 2021-01, Vol.334, p.127553-127553, Article 127553 [Periódico revisado por pares]

Elsevier Ltd

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