کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6552337 160430 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-element analysis using inductively coupled plasma mass spectrometry and inductively coupled plasma atomic emission spectroscopy for provenancing of animals at the continental scale
ترجمه فارسی عنوان
تجزیه و تحلیل چند عنصر با استفاده از طیف سنجی جرم پلاسما همراه با القایی و طیف سنجی انتشار عناصر پلاسما به صورت القایی برای تهیه حیوانات در مقیاس قاره ای
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Chemical signatures within the environment vary between regions as a result of climatological, geochemical and anthropogenic influences. These variations are incorporated into the region's geology, soils, water and vegetation; ultimately making their way through the food chain to higher level organisms. Because the variation in chemical signatures between areas is significant, a specific knowledge of differences in elemental distribution patterns between, and within populations, could prove beneficial for provenancing animals or animal related products when applied to indigenous and feral faunal populations. The domestic pig (Sus scrofa domestica) was used as an investigative model to determine the feasibility of using a chemical traceability method for the provenance determination of animal tissue. Samples of pig muscle, tongue, stomach, heart, liver and kidney were collected from known farming areas around Australia. Samples were digested in 1:3 H2O2:HNO3 and their elemental composition determined using solution based Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Pigs from different growing regions in Australia could be distinguished based on the chemical signature of each individual tissue type. Discrimination was possible at a region, state and population level. This investigation demonstrates the potential for multi-element analysis of low genetic variation native and feral species of forensic relevance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forensic Science International - Volume 244, November 2014, Pages 116-121
نویسندگان
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