The Inorganic Component as a Possible Marker for Quality and for Authentication of the Hazelnut’s Origin

The inorganic component of hazelnuts was considered as a possible marker for geographical allocation and for the assessment of technological impact on their quality. The analyzed samples were Italian hazelnuts of the cultivar Tonda Gentile Romana and Turkish hazelnuts of the cultivars Tombul, Palaz and Çakildak. The hazelnuts were subjected to different drying procedures and different conservative methods. The concentration of 13 elements, namely Ba, Ca, Cu, Fe, K, Mg, Mn, Na, Ni, P, Sn, Sr and Zn, were quantified by inductively coupled plasma optical emission spectroscopy (ICP-OES). All the samples were previously digested in a microwave oven. Before proceeding with the analysis of the samples, the whole procedure was optimized and tested on a certified reference material. The results show that the inorganic component: (i) can represent a fingerprint, able to identify the geographical origin of hazelnuts, becoming an important quality marker for consumer protection; (ii) is strongly influenced by the treatments undergone by the investigated product during all the processing stages. A pilot study was also carried out on hazelnuts of the cultivar Tonda Gentile Trilobata Piemontese, directly harvested from the plant during early development to maturity and analyzed to monitor the element concentration over time.

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The effect of collecting area on the element content of Hungarian acacia honeys

Acta Agraria Debreceniensis ◽

10.34101/actaagrar/150/1709 ◽

2018 ◽

pp. 129-138

Author(s):

Nikolett Czipa ◽

Andrea Kántor ◽

Loránd Alexa ◽

Béla Kovács

Keyword(s):

Inductively Coupled Plasma ◽

Geographical Origin ◽

Optical Emission ◽

Emission Spectrometry ◽

Linear Discriminant ◽

Inductively Coupled ◽

Icp Ms ◽

Plasma Mass Spectrometry ◽

Plasma Optical Emission Spectrometry ◽

One Way Anova

Six macroelements and twelve microelements were identified in thirty-six Hungarian acacia honeys collected from ten counties by inductively coupled plasma optical emission spectrometry (ICP-OES) and inductively coupled plasma mass spectrometry (ICP-MS). One-Way ANOVA (LSD and Dunnett T3 test) and linear discriminant analysis (LDA) were used to determine the statistically verified differences among the honey samples with different geographical origin. Significant differences were established among the samples from different counties in Na, P, S, Fe, Ni, Cu and Sr concentrations. Based on the macroelement content of honeys, the separation of samples with different geographical origin was not successful because the percent of correctly categorised cases was only 64.9%. However, examining the As, B, Ba, Cu, Fe Mn, Ni and Sr concentration, the separation of different groups was convincing since the percent of correctly classified cases was 97.2%. Thus, the examination of microelement concentration may be able to determine the geographical origin of acacia honeys.

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Mineral Content as a Tool for the Assessment of Honey Authenticity

Journal of AOAC International ◽

10.5740/jaoacint.17-0145 ◽

2017 ◽

Vol 100 (4) ◽

pp. 862-870 ◽

Cited By ~ 5

Author(s):

Milica Jovetić ◽

Jelena Trifković ◽

Dalibor Stanković ◽

Dragan Manojlović ◽

Dušanka Milojković-Opsenica

Keyword(s):

Inductively Coupled Plasma ◽

Mineral Content ◽

Geographical Origin ◽

Optical Emission ◽

Emission Spectrometry ◽

Botanical Origin ◽

Inductively Coupled ◽

Acacia Honey ◽

Regional Origin ◽

Plasma Optical Emission Spectrometry

Abstract The present work aims to provide a contribution to the overall investigation of European unifloral honeys with regard to authentication according to botanical and geographical origins. The mineral content of 206 monofloral honey samples of five botanical origins from six different regions in Serbia was investigated by inductively coupled plasma optical emission spectrometry. Chemometric techniques were applied for the classification and differentiation of acacia, sunflower, and linden honey according to botanical origin, as well as acacia honey samples according to regional origin. The highest influence on the differentiation of acacia honey samples was the presence of siderophile and chalcophile elements, whereas sunflower and linden honeys were determined by the presence of lithophile elements, indicating their origin from soil. However, due to the different bioaccumulation properties of plants, the presence of elements is not necessarily directly correlated to their presence in soil, which is confirmed by the results of the authentication of geographical origin of acacia honey.

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DISCRIMINATION OF GEOGRAPHICAL ORIGIN OF TEA BASED ON MULTI-ELEMENT FINGERPRINTING BY INDUCTIVELY COUPLED PLASMA OPTICAL EMISSION SPECTROMETRY AND ATOMIC ABSORPTION SPECTROMETRY

Vietnam Journal of Science and Technology ◽

10.15625/2525-2518/55/5a/12190 ◽

2018 ◽

Vol 55 (5A) ◽

pp. 151

Author(s):

Nguyen Thi Thao

Keyword(s):

Inductively Coupled Plasma ◽

Geographical Origin ◽

Optical Emission ◽

Absorption Spectrometry ◽

Emission Spectrometry ◽

Tea Leaves ◽

Inductively Coupled ◽

Metal Contents ◽

Plasma Optical Emission Spectrometry ◽

Tea Leaf

The metal content of 49 tea leaf samples from three different provinces inVietnamwere determined using inductively coupled plasma optical emission spectrometry (ICP-OES) and atomic absorption spectrometry (AAS). Total 18 elements in tea leaves were determined including macro element such as Al, Ca, K, Mg, Mn; trace element such as Na, Ba, Fe, Cu, Zn, B and heavy metals (Pb, Cd, Hg, Ni, Se, Sn) and metalloid (As). There was a wide variation of metal contents among the tea leaves coming from different province in which K content was the highest in all the tea leaf samples from the three provinces, followed by Ca, Mn and Al content. Principal component analysis (PCA) was applied in order to determine the different amount of metals as main sources of variability in the data sets and to establish the relation between samples and metal contents (variables). Linear discriminant analysis (LDA) was used to explore the different tea samples grouping according to the metal contents. Among the 18 elements found in the composition of tea leave samples, the LDA shows that Fe, Mg, Cd, and As are components with major discriminating power for the samples. This confirms that tea from different province shows unique elemental fingerprint characteristics that can be differentiated one from another and both techniques (PCA and LDA) are able to create for clear separation of tea leaf from identical province. However, LDA method could provide better discrimination of tea geographical origin over the PCA method.

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Mineral content of bee pollen from Serbia / Sadržaj minerala u uzorcima pčelinjega peluda iz Srbije

Archives of Industrial Hygiene and Toxicology ◽

10.1515/aiht-2015-66-2630 ◽

2015 ◽

Vol 66 (4) ◽

pp. 251-258 ◽

Cited By ~ 22

Author(s):

Aleksandar Ž. Kostić ◽

Mirjana B. Pešić ◽

Mirjana D. Mosić ◽

Biljana P. Dojčinović ◽

Maja M. Natić ◽

...

Keyword(s):

Mineral Composition ◽

Inductively Coupled Plasma ◽

Mineral Content ◽

Geographical Origin ◽

Optical Emission ◽

Emission Spectrometry ◽

Bee Pollen ◽

Inductively Coupled ◽

Iron And Zinc ◽

Plasma Optical Emission Spectrometry

In this study we analysed mineral composition of bee pollen of different plant origin collected across Serbia using inductively coupled plasma - optical emission spectrometry. The most abundant elements were potassium, calcium, and magnesium. The samples were also exceptionally rich in iron and zinc, which are very important as nutrients. Judging by our findings, mineral composition of bee pollen much more depends on the type of pollen-producing plant than on its geographical origin.

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