scholarly journals DETERMINATION OF METAL CONTENT IN TEA LEAVES GROWN IN YEN BAI AND TUYEN QUANG PROVINCE, VIET NAM

2018 ◽  
Vol 55 (5A) ◽  
pp. 143
Author(s):  
Nguyen Thi Thao

The metal contents of 19 tea leave samples, Camellia sinensis L., from Yen Bai and Tuyen Quang provinces were determined using inductively coupled plasma optical emission spectrometry (ICP-OES) and atomic absorption spectrometry (AAS). Total 18 elements in tea leaves were determined including macroelement such as Al, Ca, K, Mg, Mn; trace element such as Na, Ba, Fe, Cu, Sn, Zn, Se, Ni, B and heavy metal (Pb, Hg, Cd and metalloid As). The results show that, K content was the highest among the macroelement, followed by Mg, Ca, Mn and Al. There was a wide variation of the trace metal content among the tea leaves coming from different province. The levels of heavy metal content in most of the samples were not detectable or below the acceptable level as required by Ministry of Health.

2018 ◽  
Vol 55 (5A) ◽  
pp. 151
Author(s):  
Nguyen Thi Thao

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.


2019 ◽  
Vol 18 (1) ◽  
pp. 75-84
Author(s):  
Hüseyin Karlidağ ◽  
Metin Turan ◽  
Fırat Ege Karaat ◽  
Ekrem Ozlu ◽  
Francisco Arriaga ◽  
...  

In order to evaluate the effects of different transportation hubs on cultivated soil and apricots, macro and micro elements and heavy metal contents of fruit, leaf, kernel and soil samples collected from apricot orchards located at the border of the railroad, the motorway, the airport, and an orchard far from transportation modes were detected by ICP/OES (inductively coupled plasma / optical emission spectrometry). The results indicated the highest Cd, Pb and Ni contents of soil, fruit, and kernel samples under impacts of railroad transportation modes, whereas the highest contents of leaf were found under motorway side. All fruit samples contained higher amounts of Cd and Pb compared to permissible limits of FAO/WHO, and contents differentiated between sampling locations. There were no correlative relations found between transportation modes and macro-micro element contents. As a conclusion, in terms of heavy metal contamination, the orchards located at railway sides have the highest risk and this was followed by motorway side.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Vivian Pedrinelli ◽  
Rafael Vessecchi Amorim Zafalon ◽  
Roberta Bueno Ayres Rodrigues ◽  
Mariana Pamplona Perini ◽  
Renata Maria Consentino Conti ◽  
...  

Abstract Pet owners often don’t acknowledge the need for home-prepared diet formulation by a trained professional and may use recipes from sources such as the internet. Macronutrient and mineral composition of home-prepared diets were analyzed and compared to NRC and FEDIAF recommendations, and heavy metal concentrations were analyzed and compared to FDA maximum tolerable levels (MTL) for dogs and cats. Recipes of home-prepared diets for adult dogs (n = 75) and cats (n = 25) were evaluated. Analyses of protein, fat, and fiber were performed according to AOAC, and mineral and heavy metal analyses were performed using inductively coupled plasma optical emission spectrometry (ICP-OES). None of the diets supplied recommended levels of all nutrients evaluated, and more than 84.0% of diets presented three or more nutrients below recommendations. Nutrients with most levels below recommendations were calcium and potassium in recipes for dogs and iron and zinc in recipes for cats. As for heavy metals, levels of lead, cobalt, mercury, uranium, and vanadium were above MTLs. Results suggest that home-prepared diets may be a health risk to dogs and cats if not properly formulated. Furthermore, the chronic heavy metal intake must be better elucidated in order to understand the full impact of results.


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