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Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and 1H-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee's Geographical Origin.
Medina, Jessica; Caro Rodríguez, Diana; Arana, Victoria A; Bernal, Andrés; Esseiva, Pierre; Wist, Julien.
Afiliação
  • Medina J; Chemistry Department, Universidad del Valle, AA 25360, Cali, Colombia.
  • Caro Rodríguez D; Institut de Police Scientifique, Ecole des Sciences Criminelles, Université de Lausanne, 1015 Lausanne, Switzerland.
  • Arana VA; Grupo de Investigación Ciencias, Educación y Tecnología-CETIC, Programa de Química, Facultad de Ciencias Básicas, Universidad del Atlántico, Km 7 Antigua Vía Puerto Colombia, Barranquilla, Atlántico, Colombia.
  • Bernal A; Chemistry Department, Universidad del Valle, AA 25360, Cali, Colombia.
  • Esseiva P; Departamento de Ciencias Básicas, Universidad Jorge Tadeo Lozano, Bogotá, Colombia.
  • Wist J; Institut de Police Scientifique, Ecole des Sciences Criminelles, Université de Lausanne, 1015 Lausanne, Switzerland.
Int J Anal Chem ; 2017: 7210463, 2017.
Article em En | MEDLINE | ID: mdl-29201055
The sensorial properties of Colombian coffee are renowned worldwide, which is reflected in its market value. This raises the threat of fraud by adulteration using coffee grains from other countries, thus creating a demand for robust and cost-effective methods for the determination of geographical origin of coffee samples. Spectroscopic techniques such as Nuclear Magnetic Resonance (NMR), near infrared (NIR), and mid-infrared (mIR) have arisen as strong candidates for the task. Although a body of work exists that reports on their individual performances, a faithful comparison has not been established yet. We evaluated the performance of 1H-NMR, Attenuated Total Reflectance mIR (ATR-mIR), and NIR applied to fraud detection in Colombian coffee. For each technique, we built classification models for discrimination by species (C. arabica versus C. canephora (or robusta)) and by origin (Colombia versus other C. arabica) using a common set of coffee samples. All techniques successfully discriminated samples by species, as expected. Regarding origin determination, ATR-mIR and 1H-NMR showed comparable capacity to discriminate Colombian coffee samples, while NIR fell short by comparison. In conclusion, ATR-mIR, a less common technique in the field of coffee adulteration and fraud detection, emerges as a strong candidate, faster and with lower cost compared to 1H-NMR and more discriminating compared to NIR.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Anal Chem Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Egito

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Int J Anal Chem Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Egito