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Sputtering effect of low-energy ions on biological target: The analysis of sputtering product of urea and capsaicin

文献类型： 外文期刊

作者： Zhang, Lili 1 ; Xu, Xue 2 ; Wu, Yuejin 1 ;

作者机构： 1.Chinese Acad Sci, Inst Tech Biol & Agr Engn, Key Lab Ion Beam Bioengn, Hefei 230031, Peoples R China

2.Anhui Acad Agr Sci, Rice Res Inst, Hefei 230031, Peoples R China

关键词： Capsaicin;Low-energy ions;Monte Carlo method;Sputtering;TRIM;Urea

期刊名称：NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS （ 影响因子：1.377； 五年影响因子：1.312 ）

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收录情况： SCI

摘要： Sputtering is a process whereby atoms are ejected from a solid target material due to bombardment of the target by energetic particles. Recent years, ion implantation was successfully applied to biological research based on the fragments sputtering and form open paths in cell structure caused by ion sputtering. In this study, we focused on urea and chilli pepper pericarp samples implanted with N~+ and Ar~+ ions. To investigate the sputtering effect, we designed a collecting unit containing a disk sample and a glass pipe. The urea content and capsaicin content recovered from glass pipes were adopted to represent the sputtering product. The result of urea showed that the sputtering effect is positively correlated with the ion energy and dose, also affected by the ion type. The result of capsaicin was different from that of urea at 20 keV and possibly due to biological complex composition and structure. Therefore the sputtering yield depended on both the parameters of incident ions and the state of target materials. The sputtering yield of urea was also simulated by computational method achieved through the TRIM program. The trajectories of primary and recoiled atoms were calculated on the basis of the binary collision approximation using Monte Carlo method. The experimental results were much higher than the calculated results. The possible explanation is that in the physical model the target were assumed as a disordered lattice and independent atoms, which is much less complicated than that of the biological models.

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