2022
DOI: 10.1016/j.foodchem.2021.131064
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Detection of adulterations in a valuable Brazilian honey by using spectrofluorimetry and multiway classification

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Cited by 21 publications
(11 citation statements)
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“…Another analytical approach for the detection of adulterated honey is based in the study of the honey physical chemistry parameters, determined with harmonised methods, a combined study of physical chemistry parameters of honey with microscopic pollen examination, the study of honey physical chemistry parameters in combination with other instrumental techniques, or a variety of diverse coupled analytical instrumental techniques. Recently, novel hyperspectral imaging [8] and spectrofluorometric [9] methods have been developed to detect adulteration in honey, however, neither contemplates detection with rice syrup.…”
Section: Analytical Methods For Adulterated Honey Detectionmentioning
confidence: 99%
“…Another analytical approach for the detection of adulterated honey is based in the study of the honey physical chemistry parameters, determined with harmonised methods, a combined study of physical chemistry parameters of honey with microscopic pollen examination, the study of honey physical chemistry parameters in combination with other instrumental techniques, or a variety of diverse coupled analytical instrumental techniques. Recently, novel hyperspectral imaging [8] and spectrofluorometric [9] methods have been developed to detect adulteration in honey, however, neither contemplates detection with rice syrup.…”
Section: Analytical Methods For Adulterated Honey Detectionmentioning
confidence: 99%
“…In addition, inorganic microelements are also applied as indicators of honey origin using an inductively coupled plasma-mass spectrometry (ICP-MS) system [ 12 ]. Recently, comprehensive non-target information obtained by NMR [ 13 ], FT-IR [ 14 , 15 ], fluorescence [ 16 , 17 ], or high-resolution mass spectrometry (HRMS) [ 18 ] has also been developed to differentiate honey origin. Despite this progress, sophisticated and expensive analytical instruments and time-consuming sample pretreatment are generally required in the reported methods.…”
Section: Introductionmentioning
confidence: 99%
“…PCA was used by [131] to cluster honey types based on the data expressing the content in vi-tamin B2 and Cu and the antioxidant activity measured by 2,2 -azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) [132] and CUPric Reducing Antioxidant Capacity (CUPRAC) [133] values. The grouping allows the identification of the botanical origin: o An extension to multiple dimensions of PCA is the PARAllel FACtor analysis (PARAFAC) [134][135][136] which can be used on multiway spectral data. It is employed in [134] where fluorescence spectrometry data are first decomposed with PARAFAC in order to identify the representative patterns in honey.…”
mentioning
confidence: 99%
“…The grouping allows the identification of the botanical origin: o An extension to multiple dimensions of PCA is the PARAllel FACtor analysis (PARAFAC) [134][135][136] which can be used on multiway spectral data. It is employed in [134] where fluorescence spectrometry data are first decomposed with PARAFAC in order to identify the representative patterns in honey. An improvement of the traditional PARAFAC specifically for use on chromatography data is the alternating trilinear decomposition algorithm (ATLD) [137].…”
mentioning
confidence: 99%
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