Estimating acrylamide and 5-hydroxymethylfurfural levels in crackers using computer vision: Effects on consumer acceptance

Vista sencilla de ítem
dc.contributor.authorPedreschi, Franco
dc.contributor.authorCastillo, Darwin
dc.contributor.authorBunger, Andrea
dc.contributor.authorPedreschi, Romina
dc.contributor.authorGarcía-Ríos, Diego
dc.contributor.authorAlvarado, Juan
dc.contributor.authorMariotti-Celis, María Salomé
dc.contributor.authorMedel, Marcela
dc.contributor.authorContreras, Américo
dc.contributor.authorMery, Domingo
dc.coverage.spatialSuiza
dc.date.accessioned2026-06-30T15:17:29Z
dc.date.available2026-06-30T15:17:29Z
dc.date.issued2026-06-04
dc.description.abstractCrackers are a popular and convenient snack; however, the baking process can produce neo-formed contaminants (NFCs), such as acrylamide (AA) and 5-hydroxymethylfurfural (HMF), through non-enzymatic browning reactions. Conventional analytical methods for quantifying these NFCs are complex, labor-intensive, and require specialized personnel. The main objective of this study was to develop computer vision (CV) models based on surface digital image analysis for the rapid prediction of AA and HMF in crackers. Therefore, five baking temperatures (160, 170, 180, 190, and 200 ◦C) and times (15, 20, 25, 30, and 35 min) were tested and analyzed using CV alongside conventional analytical methods. CV estimates and analytical measurements for AA (4.35–829 μg kg−1) and HMF (0.004–105.4 mg kg−1) contents were compared using cross-validation with a “leave-onetreatment- out” approach. The average error for missing measurements was 3.10% for AA and 3.28% for HMF, validating CV as an efficient tool for the rapid estimation of these NFCs in crackers. Among the cracker samples with AA content below the EU benchmark of 400 μg/kg, evaluated using the Check-All-That-Apply (CATA) test, consumers preferred the samples baked at 180 ◦C for 25 min, which also exhibited the lowest levels of both AA and HMF.
dc.identifier.citationFoods, Vol. 15, N° 11 (2011) pp. 1-20
dc.identifier.doihttps://doi.org/10.3390/foods15112011
dc.identifier.issn2304-8158
dc.identifier.orcidhttps://orcid.org/0000-0003-1357-812X
dc.identifier.urihttps://hdl.handle.net/20.500.12254/7651
dc.language.isoen
dc.publisherMDPI
dc.rightsAcceso abierto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/cl/
dc.subjectimage analysis
dc.subjectcross-validation
dc.subjectGC-MS
dc.subjectHPLC-DAD
dc.subjectmodeling
dc.subjectsensory testing
dc.titleEstimating acrylamide and 5-hydroxymethylfurfural levels in crackers using computer vision: Effects on consumer acceptance
dc.typeArticle
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Paper 5. Pedreschi et al., 2026. AA-HMF-CV-sensorial. Foods.pdf
Tamaño:
4.13 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
347 B
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
Artículos de Revistas