In general, dust is considered as house or street dust. Indoor dust, as a contamination source, has been studied for many years. In this work, the original Community Bureau of Reference of the European Commission (BCR) three-stage sequential extraction procedure was applied to the fractionation of Cr, Cu, Fe, Mn, Pb, and Zn in 20 house dust samples from five different areas of Sakarya, Turkey. Acetic acid, hydroxylammonium chloride, and hydrogen peroxide plus ammonium acetate were used for the first, second, and third steps of the BCR method, respectively. The extracts were analyzed for the studied heavy metals using flame atomic absorption spectrometry. Validation of the results was performed by using a standard reference material (BCR 701 Sediment) to certify the experimental results obtained and to evaluate the reliability of the method used. The elemental loadings typically increased in magnitude according to the area order: İzmit Caddesi>Ankara Caddesi>Erenler>Karaman>Korucuk. The results were in agreement with values reported in the literature.

Sequential selective extraction techniques are commonly used to fractionate the solid-phase forms of metals in soils. This procedure provides measurements of extractable metals from media, such as acetic acid (0.11 M), hydroxyl ammonium chloride (0.1 M), hydrogen peroxide (8.8 M) plus ammonium acetate (1 M), and aqua regia stages of the sequential extraction procedure. In this work, the extractable Pb, Cu, Mn, Sr, Ni, V, Fe, Zn, and Cr were evaluated in street dust samples from Sakarya, Turkey, between May and October 2009 using the three-step sequential extraction procedure described by the Community Bureau of Reference (BCR, now the Standards, Measurements, and Testing Programme) of the European Union. The sampling sites were divided into 10 categories; a total of 50 street dusts were analyzed. The determination of multielements in the samples was performed by inductively coupled plasma-optical emission spectrometry. Validation of the proposed method was performed using BCR 701 certified reference material. The results showed good agreement between the obtained and the certified values for the metals analyzed.

Bu çalışma’da Türkiye’nin Sakarya ilinden Russula cyanoxantha , Russula delica , Lactarius salmonicolor , Lactarius deliciosus , karakulak , Pleurotus ostreatus , Agaricus bisporus , Suillus luteus , Pleurotus spp , orman mantarları ayrı ayrı toplanmıştır. Ayrıca Malgadın , Pleurotus ostreatus, Lactarius salmonicolor mantarlarının konserve türleri alınmıştır. Bu mantarların eser metal konsantrasyonları mikrodalga işleminden sonra indüktif eşleşmiş plazma optik emisyon spektroskopisi (ICP-OES) ile tespit edilmiştir. Sonuçlar (Cr) için 0,3-26,65, (Cu) için 17,38-132,75, (Fe) için 26,3- 225,40, (Ni) için 2,57-39,28, (Pb) için 11,52-185,20, (Zn) için 22,86-126,84 mg/kg olarak tespit edilmiştir. Prosedürün doğruluğu (INCY-TL-1) kodlu çay yaprakları ve (1573a) kodlu domates yaprakları sertifikalı referans malzeme ile doğrulanmıştır.

This study was aimed to evaluate the water quality and pollution sources in Sapanca Lake and its tributaries by applying multivariate statistical techniques to physicochemical parameters and toxic metals. For this purpose, the multivariate statistical methods such as principal component analysis (PCA) and absolute principal component score-multiple linear regression (APCS-MLR) model have been employed. It was tried to determine the seasonal pollution sources of physicochemical parameters and toxic metals obtained from 22 different sampling points between the years of 2015 and 2017. PCA was applied to the datasets, and 6 varimax factors describing 84, 80, 76, and 79 of the total variance for each season were extracted. The obtained factors were analyzed using the APCS-MLR model for the apportionment of various pollution sources affecting physicochemical parameters and toxic metals. The results show that the natural soil structure, municipal-industrial wastewater, agricultural-atmospheric runoff, highways, and seasonal effects are the major pollution sources for toxic metals and physicochemical parameters. The material contribution of pollutant sources to toxic metals and physicochemical parameters was calculated and verified by the concentrations analyzed. Consequently, multivariate statistical techniques are useful to determine the physicochemical parameters and toxic metals through reciprocal correlation and assess the seasonal impact of pollutant sources in the basin. This study also provides a basis for the creation of measurement programs, determination of pollution sources, and provision of sustainable watershed management regarding other water resources.