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Multivariate analysis of the heavy metal concentrations in the vegetable and soil samples–A case study from district Charsadda and district Mardan
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نویسنده
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idrees m. ,rehman z.u. ,bibi s. ,shah f. ,gulab h. ,ali l. ,mabood f.
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منبع
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pakistan journal of botany - 2017 - دوره : 49 - شماره : 3 - صفحه:1167 -1171
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چکیده
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Multivariate statistical methods like cluster analysis,principal component analysis (pca) and regression analysis were applied on the metals concentration of both the vegetables and soil samples collected from the districts charsada and mardan to classify them in different groups. the concentrations of seven heavy metals including cu,cr,co,ni,ag,pb,sb were investigated using atomic absorption spectrophotometer (aas) in the leaves,fruits,extracts,and soil samples of potato,colocasia,turnip,radish,cabbage,angular loofah,cucumber,bitter gourd,round melon,and pumpkin. the concentration of copper,chromium,cobalt,nickel,silver,lead and antimony were found in the range of 6.133-72.933,32.233-92.5,2.25-8.083,0.366-143.53,0.4-4.467,11.916-157.96,28.75-165.367 mgkg-1 respectively. © 2017,pakistan botanical society. all rights reserved.
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کلیدواژه
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AAS; Heavy metals; Multivariate analysis; Vegetables and soil samples
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آدرس
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department of chemistry,bacha khan university,charsadda, Pakistan, department of chemistry,bacha khan university,charsadda, Pakistan, department of chemistry,bacha khan university,charsadda, Pakistan, department of chemistry,bacha khan university,charsadda, Pakistan, department of chemistry,bacha khan university,charsadda, Pakistan, university of nizwa, Oman, department of biological sciences and chemistry,university of nizwa, Oman
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Authors
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