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Innamorato V, Longobardi F, Lippolis V, Cortese M, Logrieco AF, Catucci L, Agostiano A, De Girolamo A. Tracing the Geographical Origin of Lentils (Lens culinaris Medik.) by Infrared Spectroscopy and Chemometrics. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1406-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Miaw CSW, Sena MM, Souza SVCD, Callao MP, Ruisanchez I. Detection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies. Food Chem 2018; 266:254-261. [PMID: 30381184 DOI: 10.1016/j.foodchem.2018.06.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 05/28/2018] [Accepted: 06/03/2018] [Indexed: 10/14/2022]
Abstract
There is no any doubt about the importance of food fraud control, as it has implications in food safety and in consumer health. Focusing on fruit beverages, some types of adulterations have been detected more frequently, such as substitution with less expensive fruits. A methodology based on attenuated total reflectance Fourier-transform mid-infrared spectroscopy (ATR-FTIR) and multivariate classification was applied to detect whether grape nectars were adulterated by substitution with apple juice or cashew juice. A total of 126 samples were obtained and analyzed. Two strategies were proposed: one-class and multiclass approaches. Soft independent modeling of class analogy (SIMCA), partial least squares discriminant analysis (PLS-DA) and partial least squares density modeling (PLS-DM) were used to build the models. Among them, PLS-DA presented the best performance with a sensitivity and specificity of nearly 100%. The multiclass strategy was preferred if the adulterants to be studied are known because it provides additional information.
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Affiliation(s)
- Carolina Sheng Whei Miaw
- Department of Food Science, Faculty of Pharmacy (FAFAR), Federal University of Minas Gerais (UFMG), Av. Antônio Carlos, 6627, Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil; CAPES Foundation, Ministry of Education of Brazil, 70040-020 Brasília, DF, Brazil; Chemometrics, Qualimetric and Nanosensors Grup, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain
| | - Marcelo Martins Sena
- Department of Chemistry, Institute of Exact Sciences (ICEX), Federal University of Minas Gerais (UFMG), Av. Antônio Carlos, 6627, Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil
| | - Scheilla Vitorino Carvalho de Souza
- Department of Food Science, Faculty of Pharmacy (FAFAR), Federal University of Minas Gerais (UFMG), Av. Antônio Carlos, 6627, Campus da UFMG, Pampulha, 31270-010 Belo Horizonte, MG, Brazil
| | - Maria Pilar Callao
- Chemometrics, Qualimetric and Nanosensors Grup, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain.
| | - Itziar Ruisanchez
- Chemometrics, Qualimetric and Nanosensors Grup, Department of Analytical and Organic Chemistry, Rovira i Virgili University, Marcel·lí Domingo s/n, 43007 Tarragona, Spain
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Predicting Mildew Contamination and Shelf-Life of Sunflower Seeds and Soybeans by Fourier Transform Near-Infrared Spectroscopy and Chemometric Data Analysis. FOOD ANAL METHOD 2016. [DOI: 10.1007/s12161-016-0726-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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