2015
DOI: 10.1016/j.foodchem.2014.10.052
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Feasibility in multispectral imaging for predicting the content of bioactive compounds in intact tomato fruit

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Cited by 83 publications
(45 citation statements)
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“…Auto-fluorescence measurements comprise the acquisition of a spectral fingerprint that includes the combined contributions from intrinsic fluorophores (typically GRAS compounds and their byproducts) and their interactions with the food matrix. Chemometric, multivariate, and multiway data analysis of the EEM can resolve the complex signal from an intact food sample into its principal emission components; properly validated, such signals can shed information on specific food quality and safety characteristics [44,45]. For example, changes in tryptophan and NADPH fluorescence can signal microbial growth and spoilage of food products [46,47].…”
Section: Autofluorescence and Hyperspectral Imagingmentioning
confidence: 99%
“…Auto-fluorescence measurements comprise the acquisition of a spectral fingerprint that includes the combined contributions from intrinsic fluorophores (typically GRAS compounds and their byproducts) and their interactions with the food matrix. Chemometric, multivariate, and multiway data analysis of the EEM can resolve the complex signal from an intact food sample into its principal emission components; properly validated, such signals can shed information on specific food quality and safety characteristics [44,45]. For example, changes in tryptophan and NADPH fluorescence can signal microbial growth and spoilage of food products [46,47].…”
Section: Autofluorescence and Hyperspectral Imagingmentioning
confidence: 99%
“…Unlike the conventional digital camera that captures images at a specific range of light frequencies, multispectral imaging enables the acquisition of images at two or more different spectral imaging wavebands across the electromagnetic spectrum (Adebayo, Hashim, Abdan, & Hanafi, ; Zhang et al., ). Multispectral imaging has been applied in detecting quality attributes of different fresh produce including apples (Huang, Li, Wang, & Chen, ; Lu, ; Lunadei, Galleguillos, Diezma, Lleó, & Ruiz‐Garcia, ; Peng & Lu, , ), peaches (Li et al., ; Lleó, Barreiro, Ruiz‐Altisent, & Herrero, ), pomegranates (Khodabakhshian, Emadi, Khojastehpour, & Golzarian, ), and tomatoes (Liu et al., ; Yang et al., ). These studies have identified the potential of applying multispectral imaging technique in assessing the changes in firmness, color, maturity level, and defects.…”
Section: Introductionmentioning
confidence: 99%
“…El Masry et al [2] developed a multispectral image acquisition system for nondestructive determination of some quality attributes for strawberry. Feasibility in multispectral imaging for predicting the content of bioactive compounds in intact tomato fruit was studied by Liu et al [30] Huang et al [31] showed that it could be effective for detection of bruises on apples using a multispectral imaging system. Hence, this study was undertaken to develop a multispectral imaging system based on the selected effective wavelengths to estimate some quality attributes of pomegranate.…”
Section: Introductionmentioning
confidence: 99%