magistrsko delo
Abstract
S preučevanjem vzorcev las smo poskušali ugotoviti, ali obstaja bistvena razlika v vsebnosti kovin glede na onesnaženost področja, iz katerega so bili odvzeti vzorci. V ta namen smo zbrali 69 vzorcev las iz treh mest v treh različnih državah: iz Ljubljane (Slovenija), Malega Lošinja (Hrvaška) in Sarajeva (Bosna in Hercegovina). Poleg vpliva okolja smo študirali tudi kako na vsebnost kovin v laseh vplivajo naslednji dejavniki: biološka faktorja (spol in starost), kajenje in barvanje las.
Celotni analizni postopek je sestavljen iz naslednjih korakov: zbiranje in skladiščenje vzorcev, pranje, sušenje, razklop in merjenje. Metodo za določanje elementne sestave las smo izbrali s pomočjo preliminarnih preiskav in literature. Zaradi nizke meje zaznave in predvsem zaradi možnosti multielementne analize smo po razklopu analizirali vzorce na ICP-MS-u in ICP-OES-u. Preden smo začeli z meritvami realnih vzorcev, smo določili še: linearnost, občutljivost, mejo zaznavnosti in določljivosti, natančnost ter pravilnost.
Rezultate meritev smo statistično obdelali v SPSS-u z namenom ugotavljanja statističnih razlik med skupinami vzorcev. Statistični testi so pokazali, da biološka faktorja vplivata na vsebnost makro elementov, kot sta Ca in Mg. V primerjavi z nebarvanimi vzorci las smo statistično značilne višje koncentracije Na, Mg, Ni, Sr in Pb našli v barvanih vzorcih. Pri primerjavi krajev izvora vzorca razlike v koncentraciji toksičnih kovin niso dovolj izrazite, da bi kazale na vpliv onesnaženosti okolja s težkimi kovinami na izbrano populacijo.
Keywords
lasje;analiza las;težke kovine;analizne metode;optična emisijska spektroskopija;induktivno sklopljena plazma;ICP-OES;masna spektrometrija;ICP-MS;validacija merilnih postopkov;magistrska dela;
Data
Language: |
Slovenian |
Year of publishing: |
2019 |
Typology: |
2.09 - Master's Thesis |
Organization: |
UL FKKT - Faculty of Chemistry and Chemical Technology |
Publisher: |
[A. Mehanović] |
UDC: |
543.42:549.25(043.2) |
COBISS: |
1538479555
|
Views: |
1324 |
Downloads: |
205 |
Average score: |
0 (0 votes) |
Metadata: |
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Other data
Secondary language: |
English |
Secondary abstract: |
The aim of this study is to compare the content of heavy metals in the hair of people inhabiting three areas with different degree of pollution. 69 hair samples from three cities from three countries were selected for the analysis, that is, Ljubljana (Slovenia), Mali Lošinj (Croatia) and Sarajevo (Bosnia and Herzegovina). Environmental factors, biological factors (gender and age), smoking status and hair coloring were examined in relation to heavy metals content in the hair.
The procedure consists of following steps: sample collections and storage, washing, drying, digestion and measurement. The choice of the most appropriate method is based on the previous literature review and preliminary laboratory tests. In order to perform multi-element analysis and due to low limit of detection, sample solutions were analysed by means of ICP-MS and ICP-OES methods. Before the measurement of real samples, linearity, sensitivity, limit of detection and quantification, accuracy and precision were determined for both method and instrument.
Statistical analysis were carried out using SPSS statistical software. The impact of biologic factors on the concentrations of macro elements such as Ca and Mg in the hair was detected. Compared to the sample of non-colored hair, the concentrations of Na, Mg, Ni, Sr and Pb were greater in the sample of colored hair. The differences in the concentration of heavy metals in hair between three different areas were not large enough to indicate the impact of environmental pollution on heavy metals in the hair of the study sample. |
Secondary keywords: |
hair analysis;heavy metals;inductively coupled plasma;optical emission spectrometry;mass spectrometry; |
Type (COBISS): |
Master's thesis/paper |
Study programme: |
1000375 |
Embargo end date (OpenAIRE): |
1970-01-01 |
Thesis comment: |
Univ. v Ljubljani, Fak. za kemijo in kemijsko tehnologijo, smer Kemija |
Pages: |
72 str. |
ID: |
11240135 |