Neutron activation analysis with a Monte Carlo simulation for kidney stones
Yazarlar (4)
Dr. Öğr. Üyesi Hüseyin ŞAHİNER Missouri University Of Science And Technology, Amerika Birleşik Devletleri
Anjali Srivastava Missouri University Of Science And Technology, Amerika Birleşik Devletleri
Cynthia H Mccollough Mayo Clinic, Amerika Birleşik Devletleri
Xin Liu Missouri University Of Science And Technology, Amerika Birleşik Devletleri
| Makale Türü | Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Biomedical Physics Engineering Express | ||
| Dergi ISSN | 0003-018X Dergi Bilgileri (2015) | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2015 |
| Cilt / Sayı / Sayfa | 113 / 1 / 481–482 | DOI | 10.1088/2057-1976/1/4/045103 |
| Makale Linki | http://stacks.iop.org/2057-1976/1/i=4/a=045103?key=crossref.a3831f51a28a6639d969ef709191cad3 | ||
| UAK Araştırma Alanları |
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| Özet |
| Mechanistic questions regarding kidney stone formation have led researchers to look for the presence of trace elements. Neutron activation analysis is able to identify elements at parts-per-million concentrations. Four different types of kidney stones were irradiated with thermal neutrons to produce radioisotopes. Gamma spectroscopy of samples at different counting times was used to reduce identification errors by correlating results with the half-life of identified elements. For more precise identification, Monte Carlo simulation was used to cross-check the identification process. The simulation showed promising results that could lead to fast and accurate identification of trace elements as the simulation code is improved. Sodium (Na), potassium (K), calcium (Ca), bromine (Br), samarium (Sm), zinc (Zn), cadmium (Cd), ytterbium (Yb), gold (Au), cobalt (Co), and manganese (Mn) were identified as being present in the … |
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| Scopus | 1 |
| Google Scholar | 6 |