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Application of an Electronic Nose and HS-SPME/GC-MS to Determine Volatile Organic Compounds in Fresh Mexican Cheese.
Lee-Rangel, Héctor Aarón; Mendoza-Martinez, German David; Diaz de León-Martínez, Lorena; Relling, Alejandro Enrique; Vazquez-Valladolid, Anayeli; Palacios-Martínez, Monika; Hernández-García, Pedro Abel; Chay-Canul, Alfonso Juventino; Flores-Ramirez, Rogelio; Roque-Jiménez, José Alejandro.
Affiliation
  • Lee-Rangel HA; Centro de Biociencias, Universidad Autónoma de San Luis Potosí, Carretera Federal 57 km 14.5, Ejido Palma de la Cruz, Soledad de Graciano Sánchez 78321, San Luis Potosí, Mexico.
  • Mendoza-Martinez GD; Departamento de Producción Animal, Universidad Autónoma Metropolitana-Xochimilco, CDMX, Mexico City 04960, Mexico.
  • Diaz de León-Martínez L; Centro de Investigación Aplicada en Ambiente y Salud (CIAAS), Universidad Autónoma de San Luis Potosí, Lomas de San Luis 78210, San Luis Potosí, Mexico.
  • Relling AE; Ohio Agricultural Research and Development Center (OARDC), Department of Animal Science, The Ohio State University, Wooster, OH 44691, USA.
  • Vazquez-Valladolid A; Facultad de Agronomía y Veterinaria, Universidad Autónoma de San Luis Potosí, Carretera Federal 57 km 14.5, Ejido Palma de la Cruz, Soledad de Graciano Sánchez 78321, San Luis Potosí, Mexico.
  • Palacios-Martínez M; Departamento de Producción Animal, Universidad Autónoma Metropolitana-Xochimilco, CDMX, Mexico City 04960, Mexico.
  • Hernández-García PA; Centro Universitario UAEM Amecameca, Universidad Autónoma del Estado de México, Amecameca 56900, Estado de Mexico, Mexico.
  • Chay-Canul AJ; División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa, km 25, R/A. La Huasteca 2a Sección, Villahermosa 86280, Tabasco, Mexico.
  • Flores-Ramirez R; Centro de Investigación Aplicada en Ambiente y Salud (CIAAS), Universidad Autónoma de San Luis Potosí, Lomas de San Luis 78210, San Luis Potosí, Mexico.
  • Roque-Jiménez JA; Departamento de Producción Animal, Universidad Autónoma Metropolitana-Xochimilco, CDMX, Mexico City 04960, Mexico.
Foods ; 11(13)2022 Jun 25.
Article in En | MEDLINE | ID: mdl-35804703
ABSTRACT
Electronic devices have been used to describe chemical compounds in the food industry. However, there are different models and manufacturers of these devices; thus, there has been little consistency in the type of compounds and methods used for identification. This work aimed to determine the applicability of electronic nose (e-nose) Cyroanose 320 to describe the differentiation of volatile organic compounds (VOCs) in fresh Mexican cheese (F-MC) formulated with milk from two different dairy cattle breeds. The VOCs were described using a device manufactured by Sensigent and Solid-Phase Micro-extraction (SPME) coupled to GC-MS as a complementary method. The multivariate principal components analysis (PCA) and the partial least squares discriminant analysis (PLS-DA) were used to describe the relationships of VOCs to electronic nose data, sensory data, and response levels. In addition, variable importance in projection (VIP) was performed to characterize the e-nose signals to the VOCs. The e-nose distinguishes F-MC prepared with milk from two dairy breeds. Sensor number 31 correlated with carboxylic acids most in F-MC from Jersey milk. The HS-SPME/GC-MS identified eighteen VOCs in F-MC made with Holstein milk, while only eleven VOCs were identified for F-MC made with Jersey milk. The more significant peaks in both chromatogram analyses were Propanoic acid, 2-methyl-, 1-(1,1-dimethylethyl)-2-methyl-1,3-propanediyl ester in cheese made from Holstein milk and Propanoic acid, 2-methyl-, 3-hydroxy-2,4,4-trimethylpentyl ester in Jersey milk cheese. Both compounds are considered essential carboxylic acids in the dairy industry. Thus, sensor 31 in the electronic nose Cyranose 320 increased its response by essential carboxylic acids identified by HS-SPME/GC-MS as a complementary method. The e-nose Cyranose 320 is potentially helpful for evaluating fresh Mexican cheese authentication independent of cows' milk samples from different breeds.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Country/Region as subject: Mexico Language: En Journal: Foods Year: 2022 Document type: Article Affiliation country: Mexico

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Country/Region as subject: Mexico Language: En Journal: Foods Year: 2022 Document type: Article Affiliation country: Mexico