Investigating consumer food choice behavior: an application combining sensory evaluation and experimental auctions. Cien. Inv. Agr. 45(1): 1-10. In this study, we investigated which piece of information collected with sensory evaluation tools exhibits better predictive capacity on the willingness to pay: information about preferences for a sensory quality attribute using hedonic scales or information about the perceived intensity for the same attribute using intensity scales. We also estimated if extrinsic or intrinsic quality exerts a similar impact on a consumer's willingness to pay. We conducted a sensory evaluation along with experimental auctions using three different apple varieties with college students in metropolitan Lima, Peru. Findings from this study show that the information collected on preference for apple quality attributes has a better explanatory capability for willingness to pay than does information regarding consumers' perceived intensity for the same attribute. The explanatory capability was measured using measures of goodness-of-fit. We also prove that willingness to pay was driven both by the apple variety's induced intrinsic quality attributes and its extrinsic cues. The results add to the existing body of literature intended to improve the understanding of consumer food choice behavior.
REVIEW El SARS-CoV-2 y otros virus emergentes y su relación con la inocuidad en la cadena alimentaria SARS-CoV-2 and other emerging viruses and their relationship to safety in the food chain
Resumen Esta investigación plantea una metodología para detectar y cuantificar en tiempo real la presencia de Salmonella sp. en carne de llama (Llama glama) empleando qPCR, el método se validó a través del recuento en placa. El método consistió en detectar la presencia o ausencia de Salmonella sp. en muestras de carnes de llama, los resultados positivos se identificaron mediante el sistema bioquímico acelerado RapID ONE, finalmente los resultados de la identificación se confirmaron por medio de la PCR en tiempo real, empleando un cebador delantero e inverso del gen invA, al igual que una sonda fluorescente anclada a un fragmento del gen invA. Finalmente, se cuantificaron 17 muestras de carne de llama, resultando que el 53,13% de las muestras estaba contaminado por Salmonella sp.
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