Determination of the botanical origin of honey by sensor fusion of impedance e-tongue and optical spectroscopy

Ulloa, Pablo A.; Guerra, Rui; Cavaco, Ana M.; Costa, Ana M. Rosa da; Figueira, Ana Cristina; Brigas, A. F.

doi:10.1016/j.compag.2013.03.001

Cited by 53 publications

(33 citation statements)

References 24 publications

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“…In general, all these approaches showed good discrimination capabilities, precision, accuracy and reliability, but they are in general destructive, time-consuming and expensive, being unsuitable for in situ monitoring [10]. To overcome these drawbacks other more simple and userfriendly methodologies have been proposed, namely the use of potentiometric [6,10,21,22], voltammetric [23,24] or impedance [25] electronic tongues (E-tongues). The results reported in these studies clearly show that all these electrochemical devices can be used as effective and practical tools to discriminate honey according to their botanical origin, allowing distinguishing among different monofloral and/or polyfloral samples and in some cases among different geographical origins.…”

Section: Introductionmentioning

confidence: 99%

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Sousa

Dias

Veloso

et al. 2014

Talanta

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a b s t r a c tColour and floral origin are key parameters that may influence the honey market. Monofloral light honey are more demanded by consumers, mainly due to their flavour, being more valuable for producers due to their higher price when compared to darker honey. The latter usually have a high anti-oxidant content that increases their healthy potential. This work showed that it is possible to correctly classify monofloral honey with a high variability in floral origin with a potentiometric electronic tongue after making a preliminary selection of honey according their colours: white, amber and dark honey. The results showed that the device had a very satisfactory sensitivity towards floral origin (Castanea sp., Echium sp., Erica sp., Lavandula sp., Prunus sp. and Rubus sp.), allowing a leave-one-out cross validation correct classification of 100%. Therefore, the E-tongue shows potential to be used at analytical laboratory level for honey samples classification according to market and quality parameters, as a practical tool for ensuring monofloral honey authenticity.

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Section: Introductionmentioning

confidence: 99%

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Sousa

Dias

Veloso

et al. 2014

Talanta

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“…El contenido de polen en las mieles es muy bajo (niveles trazas) pero varía dependiendo de la riqueza floral de cada zona y del aporte de néctar y polen de cada especie vegetal, por lo cual, algunas especies se encuentran sub-o sobre-representadas en el perfil palinológico y se reconoce la necesidad de establecer otras metodologías menos dependientes de las trazas de polen en la miel, como la proteómica (15) , la espectroscopia óptica y sensores electrónicos (16) o espectrometría de fluorescencia para estimar parámetros físico-químicos y contenido floral (17) , entre otros.…”

Section: Methodsunclassified

“…honey physicochemical parameters and botanical content, such as proteomics (15) , optical spectrophotometry and electronic sensors (16) , and fluorescence spectrophotometry (17) , among others.…”

Section: Introductionmentioning

confidence: 99%

Composición botánica de mieles de la península de Yucatán, mediante qPCR y análisis de curvas de disociación

Cázares¹,

Ordóñez

Cruz

et al. 2016

Rev. Mex. Cienc. Pecu.

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RESUMENEl método cuantitativo de reacción en cadena de la polimerasa (qPCR), seguido por análisis de curvas de disociación, fue desarrollado para la detección rápida y simultánea de la composición botánica en mieles de la Península de Yucatán, México. Cinco muestras de miel ciclo apícola 2013 y cinco del 2014, se caracterizaron para definir el contenido de cinco especies de plantas de importancia apícola; Viguiera dentata, Gymonopodium floribundum, Piscidia piscipula, Acacia angustissima y Mimosa bahamensis. These results correlate to melissopalynological analysis for most cases. P. piscipula was not detected in any honey sample; however, according to melissopalynological analysis A. angustissima was present in M-3 and M-4 even though it was unable to detect it, possibly due to a low or no similarity with generic genes sequence.

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“…In the literature there are some examples in which multisensor data fusion 810 techniques have given rise to enhanced results for honey analysis (Maamor et al, 811 2014;Subari et al, 2012;Ulloa et al, 2013;Zakaria et al, 2011). The combination of 812 data obtained from both an e-nose and an e-tongue to discriminate between different 813 honeys, sugar syrups, and sugar adulterated honey samples has also been proposed 814 (Zakaria et al, 2011).…”

Section: E-noses and E-tongues Data Fusion In Food Authenticity/adultmentioning

confidence: 99%

“…Among the different classification 833 methods studied, k-NN provided the best performance for the training and test sets 834 (100 and 96.4 % correct classification, respectively). 835 Ulloa et al (2013) have tried to classify four commercial brands of Portuguese 836 honey according to their botanical origin by means of sensor fusion of an impedance 837 e-tongue and visible-near infrared (Vis-NIR) and ultraviolet-visible (UV-Vis) 838 spectroscopies assisted by PCA and CA. 13 heterogeneous Portuguese honey 839 nectar samples were analyzed.…”

Section: E-noses and E-tongues Data Fusion In Food Authenticity/adultmentioning

confidence: 99%

Electronic noses and tongues to assess food authenticity and adulteration

Peris

Escuder-Gilabert

2016

Trends in Food Science & Technology

203

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11 12Background 13 There is a growing concern for the problem of food authenticity assessment (and 14 hence the detection of food adulteration), since it cheats the consumer and can pose 15 serious risk to health in some instances. Unfortunately, food safety/integrity incidents 16 occur with worrying regularity, and therefore there is clearly a need for the 17 development of new analytical techniques. 18 Scope and Approach 19In this review, after briefly commenting the principles behind the design of electronic 20 noses and electronic tongues, the most relevant contributions of these sensor 21 systems in food adulteration control and authenticity assessment over the past ten 22 years are discussed. It is also remarked that future developments in the utilization of 23 advanced sensors arrays will lead to superior electronic senses with more 24 capabilities, thus making the authenticity and falsification assessment of food 25 products a faster and more reliable process. 26 Key Findings and Conclusions 27The use of both types of e-devices in this field has been steadily increasing along the 28 present century, mainly due to the fact that their efficiency has been significantly 29 improved as important developments are taking place in the area of data handling 30 and multivariate data analysis methods. 31 32

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Determination of the botanical origin of honey by sensor fusion of impedance e-tongue and optical spectroscopy

Cited by 53 publications

References 24 publications

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue

Composición botánica de mieles de la península de Yucatán, mediante qPCR y análisis de curvas de disociación

Electronic noses and tongues to assess food authenticity and adulteration

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