One of the main goals of the quality control evaluation is to identify contaminants in raw material, or contamination after a food is processed and before it is placed on the market. During the treatment processes, contamination, both accidental and economically motivated, can generate incongruence between declared and real composition. In our study, we evaluated if DNA metabarcoding is a suitable tool for unveiling the composition of processed food, when it contains small trace amounts. We tested this method on different types of commercial plant products by using tnrL marker and we applied amplicon-based high-throughput sequencing techniques to identify plant components in different food products. Our results showed that DNA metabarcoding can be an effective approach for food traceability in different type of processed food. Indeed, the vast majority of our samples, we identified the species composition as the labels reported. Although some critical issues still exist, mostly deriving from the starting composition (i.e., variable complexity in taxa composition) of the sample itself and the different processing level (i.e., high or low DNA degradation), our data confirmed the potential of the DNA metabarcoding approach also in quantitative analyses for food composition quality control.

Bruno, A., Sandionigi, A., Agostinetto, G., Bernabovi, L., Frigerio, J., Casiraghi, M., et al. (2019). Food tracking perspective: Dna metabarcoding to identify plant composition in complex and processed food products. GENES, 10(3) [10.3390/genes10030248].

Food tracking perspective: Dna metabarcoding to identify plant composition in complex and processed food products

Bruno, Antonia
Primo
;
Sandionigi, Anna
Secondo
;
AGOSTINETTO, GIULIA;Frigerio, Jessica;Casiraghi, Maurizio;Labra, Massimo
Ultimo
2019

Abstract

One of the main goals of the quality control evaluation is to identify contaminants in raw material, or contamination after a food is processed and before it is placed on the market. During the treatment processes, contamination, both accidental and economically motivated, can generate incongruence between declared and real composition. In our study, we evaluated if DNA metabarcoding is a suitable tool for unveiling the composition of processed food, when it contains small trace amounts. We tested this method on different types of commercial plant products by using tnrL marker and we applied amplicon-based high-throughput sequencing techniques to identify plant components in different food products. Our results showed that DNA metabarcoding can be an effective approach for food traceability in different type of processed food. Indeed, the vast majority of our samples, we identified the species composition as the labels reported. Although some critical issues still exist, mostly deriving from the starting composition (i.e., variable complexity in taxa composition) of the sample itself and the different processing level (i.e., high or low DNA degradation), our data confirmed the potential of the DNA metabarcoding approach also in quantitative analyses for food composition quality control.
Articolo in rivista - Articolo scientifico
DNA metabarcoding; Food contaminants; Food matrices; Food tracking; Herbal products; High Throughput Sequencing; Molecular markers; Processed food; TrnL;
DNA metabarcoding; food contaminants; food matrices; food tracking; herbal products; molecular markers, High Throughput Sequencing; processed food; trnL
English
25-mar-2019
2019
10
3
248
open
Bruno, A., Sandionigi, A., Agostinetto, G., Bernabovi, L., Frigerio, J., Casiraghi, M., et al. (2019). Food tracking perspective: Dna metabarcoding to identify plant composition in complex and processed food products. GENES, 10(3) [10.3390/genes10030248].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/231570
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