Research Journal of Chemical Sciences ______________________________________________ ISSN 2231-606X Vol. 3(3), 4-8, March (2013) Res. J. Chem. Sci. International Science Congress Association 4 Ranges of Electrons for Human Body SubstancesSingh Hemlata, Rathi S.K.1,2 and Verma A.S.Department of physics, B. S. A. College, Mathura 281004, INDIA Department of physics, B.S.A.C.E.T., Mathura 281004, INDIA Department of physics, Banasthali University, Rajasthan 304022, INDIA Available online at: www.isca.in Received 1st July 2012, revised 25th December 2012, accepted 24th January 2013Abstract We present a relation for continuous slowing down approximation (CSDA) ranges for electrons of substances such as bones, muscles, fat and water in terms of energy from 30 keV to 1000 keV and have been fitted by three parameters. These parameters depend upon the total energy, density and effective atomic number of the absorber. It has been found that this method gives better agreement with the available experimental data.Keywords:CSDA ranges, bones, muscles, fat. Introduction Cancer (malignant disease) is the second cause of death after cardiovascular system diseases. Every year 7.6 million people die worldwide because of cancer and by the W.H.O. report number of cancers is expected to increase by 50 percent. Radiotherapy is one of the main cancer treatment methods together with chemotherapy and surgery. The clinical radiation therapy works with high-ionising radiation and aims to destroy tumour cells without damaging healthy cells or tissue. Naturally this therapy can damage healthy tissue. To preserve this unwanted damage on healthy tissue, a high accuracy of dose delivery is needed. Clinical dosimetry and treatment planning are aimed to reduce the risk for the patient to a minimum and to get a high accuracy in preparation for the therapy. The total inaccuracy for radiotherapy is expected to be 7.3%but the recommended overall inaccuracy in tumour dose delivery is ±5% (ICRU). Therefore clinical dosimetry and treatment planning care for the limitation of this uncertainty with precise work. The accurate determination of absorbed dose is crucial to the success of radiation therapy because there are relatively steep sigmoidal dose-response curves for both tumour control and normal-tissue damage. To measure absorbed dose-to-water in clinical electron beams, current dosimetry protocols (IAEA TRS-398) recommend plane-parallel or thimble ionization chambers. Plane-parallel ionisation chambers are recommended in all dosimetry protocols for use in electron beams, especially at low energies where cylindrical ionizations chambers can need fluence perturbation correction of 5% or more. In comparison to cylindrical chambers they have better depth resolution and, for a well guarded chamber, the lack of fluence perturbation effect for low-energy electron beams. For well-guarded parallel-plate chambers it is assumed, that Q p (perturbation correction factor) is unity for all electron energies. Stopping media are characterized by their stopping power (SP), the inelastic mean free path (IMFP), the continuous slowing down approximation-range (CSDA-range) (R) and the energy straggling parameter. These physical quantities are important for application such as radiation biology, electron beam lithography, and chemical analyses of surface regions of a solid and in calculation of radiation dose in radiotherapy. The principal characteristic of ionizing radiation is that it has sufficient energy to break any chemical bond and to cause ionization in all materials. Whenever the energy of a particle exceeds the ionization potential of a molecule, a collision with the molecule might lead to ionization. The knowledge of the mean free path and CSDA-range of electrons is important, especially at low energies; in line with this, number of authors has made associated studies of biological compounds5-10. The exact knowledge of range of electrons and positrons in several media is of practical interest for many applications in nuclear physics, radiation protection and semiconductor detector fabrication. The main effects produced by the passage of electrons through matter are: i. Non radiative collision process and ii. Radiative collision process. Therefore the total energy loss during the passage of electron will be the sum of these two losses. In determining CSDA ranges fluctuations in energy losses are neglected and electrons are assumed to loss energy continuously along their track with a mean energy loss per unit path length given by the stopping power. In this paper, we propose a method to obtain the CSDA ranges for electrons at energy (30–1000 keV). Results obtained by this procedure are compared with the available data, derived from the Born–Bethe approximation. Methodology For electrons of low energies, the inelastic interaction characteristics, the stopping power, the mean free path and the Research Journal of Chemical Sciences ___________________________________________________________ ISSN 2231-606XVol. 3(3), 4-8, March (2013) Res. J. Chem. Sci. International Science Congress Association 5 CSDA-range cannot be obtained directly from experiments or from Bethe’s SP theory, the latter giving accurate SPs at energies larger than 10 keV. At lower energies, the theory is, in general, invalid. For low-energy electrons, a method has been used to estimate the mentioned characteristics, based on the use of the complex dielectric function e (q, w), and being the momentum and energy transfer, respectively. As mentioned by Akkerman and Akkerman restrictions in these theories prevent their use for a wide range of non-organic and organic materials. To calculate the mean free path and the CSDA-range, another method is to make use of the inelastic differential cross section (IDCS) suggested by11 with the generalized oscillator strength (GOS). For this, the GOS has to be calculated from matrix elements that involve numerical integration of atomic wave functions. This calculation is too complicated. During the last few years, a number of optical data models have been proposed to compute the inelastic scattering of electrons, avoiding the calculation of the GOS from matrix elements. In recent years, Verne et al10 have calculated the IMFP and the CSDA-range in DNA (thymine–adenine or cytosine–guanine) for low and intermediate energy ranges. These calculations were also studied for liquid water, guanine and organic molecules5,10. Nelms12 has calculated CSDA ranges using collisions loss expressions. Using collision loss expressions the following equation was solved numerically by Simpson’s 1/3rd rule. dEdxdEcsda (1) Rohrlich et al13 have tabulated CSDA ranges of electrons and positrons for several media at different energies. Tung et al14calculated electron ranges using electron gas model. Berger and Seltzer15 published extensive tables containing CSDA ranges from 10 KeV to1000MeV. Gupta et al16 also presented an empirical formula for CSDA range but it is not applicable in low energy region. According to him an empirical equation has been derived for the csda ranges of monoenergetic electrons in the energy region 0.2-10 MeV by using the empirical relation for total stopping power. The corresponding equation for csda ranges is 1957.13230.1azszmcaz (2) In general the linear polynomial fitting is a simple method for searching out any empirical relation. However, the ration for continuous slowing down approximation ranges should be simple enough to get easily evaluation. One can infer from equations (1 and 2) that the CSDA ranges of electrons depend not only upon the incident kinetic energy of these particles, but also on the nature of the material through which they traverse. Tan et al17 have proposed a simple empirical relation for CSDA ranges for electrons with energies between 25 to 200 keV by the following relation, 6.15.210190cmcsda (3) where A, Z and E are atomic weight, atomic number and energy respectively. This relation is valid for atomic numbers 30 to 92 with error comprising 2 to 10%. The drawback of the relation is that it is valid for very small energy range and does not give any information for lower atomic number. We have plotted graphs between available CSDA ranges values vs 5.1 and data are fitting with linear polynomial equation. Which are presented in following figures 1 to 4. Using this idea we have been able to find analytically convenient and simple empirical relation for CSDA ranges of electrons in the energy regions 30 to 1000 keV by the following relation, R = A + B X (4) where A and B are constants. The value of 5.1depends on density (D), effective atomic number (Z) and energy (E). The values of constants, density and effective atomic number are presented in table 1. 0400800120016000.000.020.040.060.080.100.120.140.160.18 CSDA Ranges of FAT(D/Z)E1.5Figure-1 In the plot of CSDA ranges (for electrons) and (D/Z)E1.5 of Fat lie on a linear regression line. In this figure all CSDA ranges values are taken from Ref. [15] Results and discussionThe equation (4) has been used to calculate CSDA ranges of electrons in different elements for various energies in their prescribed energy regions15. The calculated values for electrons thus obtained were compared with the standard values due to Berger and Seltzer15. In order to compare evaluated values of CSDA ranges of positrons, following method has been adopted. The evaluated values of CSDA ranges have been presented in the tables 2 and 3. We note that the values of CSDA ranges evaluated by proposed relation are in close agreement with the reported data as compared to the values reported by previous researchers so far. Research Journal of Chemical Sciences ___________________________________________________________ ISSN 2231-606XVol. 3(3), 4-8, March (2013) Res. J. Chem. Sci. International Science Congress Association 6 0200400600800100012001400160018000.000.020.040.060.080.100.120.140.160.180.20 CSDA Ranges of Muscle(D/Z)E1.5Figure-2 In the plot of CSDA ranges (for electrons) and (D/Z)E1.5 of Muscle lie on a linear regression line. In this figure all CSDA ranges values are taken from Ref. [15]. 020040060080010001200140016000.000.050.100.150.20 CSDA Ranges of Bone(D/Z)E1.5Figure-3 In the plot of CSDA ranges (for electrons) and (D/Z)E1.5 of Bone lie on a linear regression line. In this figure all CSDA ranges values are taken from Ref. [15]. Table-1 Values of constants for electrons Substances A B D Z Regression coefficients Fat -0.00112 ± 3.16924 ´ 10 - 4 1.01683 ´ 10 - 4 ± 4.34596 ´ 10 - 7 0.91 5.9 0.99986 Muscle -0.0011 ± 3.39566 ´ 10 - 4 1.14739 ´ 10 - 4 ± 5.06158 ´ 10 - 7 1.05 7.4 0.99985 Bone -0.00108 ± 3.84271 ´ 10 - 4 1.33596 ´ 10 - 4 ± 6.06267 ´ 10 - 7 1.85 13.8 0.99985 Water -0.00109 ± 3.36822 ´ 10 - 4 1.19184 ´ 10 - 4 ± 5.2717 ´ 10 - 7 1 7.4 0.99985 Table-2 Values of CSDA ranges for electrons of Fat and Muscle E X Value of Fat Fat [15] Fat this work %%error X Value of Muscle Muscle [15] Muscle this work %%error 30 25.34377 0.00169 0.001457 13.8 23.31522 0.00178 0.001575 11.51 40 39.01929 0.00282 0.002848 1.0 35.89612 0.00295 0.003019 2.33 50 54.53112 0.00418 0.004425 5.9 50.16636 0.00437 0.004656 6.55 60 71.68301 0.00575 0.006169 7.3 65.94539 0.00601 0.006467 7.60 70 90.33092 0.00751 0.008065 7.4 83.10069 0.00785 0.008435 7.45 80 110.3632 0.00946 0.010102 6.8 101.5296 0.00988 0.010549 6.78 90 131.6901 0.01159 0.012271 5.9 121.1494 0.01209 0.012801 5.88 100 154.2373 0.01387 0.014563 5.0 141.8919 0.01447 0.015181 4.91 150 283.352 0.02734 0.027692 1.3 260.6721 0.02848 0.028809 1.16 200 436.2489 0.04359 0.043239 0.8 401.3309 0.04537 0.044948 0.93 250 609.6764 0.06194 0.060874 1.7 560.8769 0.06442 0.063254 1.81 300 801.4405 0.0819 0.080373 1.9 737.2919 0.08513 0.083496 1.92 350 1009.93 0.1031 0.101573 1.5 929.094 0.1071 0.105503 1.49 400 1233.898 0.1253 0.124346 0.8 1135.135 0.1302 0.129144 0.81 450 1472.34 0.1483 0.148592 0.2 1354.492 0.154 0.154313 0.20 500 1724.425 0.172 0.174225 1.3 1586.4 0.1785 0.180922 1.36 1000 4877.411 0.4275 0.49483 15.7 4487.016 0.4418 0.513736 16.28 Research Journal of Chemical Sciences ___________________________________________________________ ISSN 2231-606XVol. 3(3), 4-8, March (2013) Res. J. Chem. Sci. International Science Congress Association 7 Table-3 Values of CSDA ranges for electrons of Bone and Water E X Value of Bone Bone [15] Bone this work %%error X Value of water Water [15] Water this work %%error 30 22.02797 0.002 0.001863 6.86 22.20497 0.00176 0.001556 11.56 40 33.91428 0.00331 0.003451 4.25 34.18679 0.00292 0.002985 2.21 50 47.39665 0.00488 0.005252 7.62 47.77749 0.00432 0.004604 6.58 60 62.30451 0.0067 0.007244 8.11 62.80514 0.00594 0.006395 7.67 70 78.51266 0.00875 0.009409 7.53 79.14352 0.00776 0.008343 7.51 80 95.92408 0.011 0.011735 6.68 96.69483 0.00977 0.010434 6.80 90 114.4607 0.01345 0.014211 5.66 115.3804 0.01196 0.012661 5.87 100 134.058 0.01607 0.01683 4.73 135.1351 0.01431 0.015016 4.93 150 246.2802 0.03155 0.031822 0.86 248.2591 0.02817 0.028499 1.17 200 379.1732 0.05015 0.049576 1.14 382.2199 0.04487 0.044464 0.90 250 529.9107 0.07111 0.069714 1.96 534.1685 0.06372 0.062574 1.80 300 696.5857 0.09386 0.091981 2.00 702.1828 0.08421 0.082599 1.91 350 877.7982 0.118 0.11619 1.53 884.8514 0.106 0.10437 1.54 400 1072.464 0.1433 0.142197 0.77 1081.081 0.1288 0.127758 0.81 450 1279.71 0.1695 0.169884 0.23 1289.992 0.1523 0.152656 0.23 500 1498.814 0.1964 0.199156 1.40 1510.857 0.1766 0.17898 1.35 1000 4239.285 0.4857 0.565272 16.38 4273.348 0.4367 0.508225 16.38 020040060080010001200140016000.000.020.040.060.080.100.120.140.160.180.20 CSDA Ranges of Water(D/Z)E1.5Figure-4 In the plot of CSDA ranges (for electrons) and (D/Z)E1.5 of Water lie on a linear regression line. In this figure all CSDA ranges values are taken from Ref. [15]ConclusionFrom the above results obtained using the proposed empirical relation (4), it is quite obvious that the CSDA ranges of materials can be expressed in terms of energy, density and effective atomic number of the material. We come to the conclusion that energy of the material is key parameter for the calculation of CSDA ranges. It is also noteworthy that proposed empirical relation is simpler, widely applicable and values obtained are in better agreement with the theoretical data as compared to the empirical relations proposed by previous researchers16,17,18. References 1.Zink K., Einführung in die Strahlentherapie und Therapie mit offenen Nukliden, FH Gießen, (2004)2.World Health Organization (WHO) Cancer Report- (2007)3.Mayles, P., Nahum, A. and Rosenwald, J.C. 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International Science Congress Association 8 8.Akkerman, A., Akkerman, E., Characteristics of electron inelastic interactions in organic compounds and water over the energy range 20–10 000 eV, J. Appl. Phys., 86, 5809–5816 (1999)9.Dingfelder, M., Hantke, D., Inokuti, M., Paretzke, H.G., Electron inelastic scattering cross sections in liquid water, Radiat. Phys. Chem.,53, 1–18 (1998)10.Verne, J., Pimblott, M.S., Electron energy-loss distributions in solid, Dry DNA, Radiat. Res., 141, 208–215 (1995)11.Inokuti, M., Inelastic collisions of fast charged particles with atoms and molecules—the Bethe theory revisited, Rev. Mod. Phys., 43, 297–347 (1971)12.Nelms A., Energy loss and Ranges of electrons and positrons NBS circular no.577 (1956)13.Rohrlich F. and Carlson B. C., Positron-Electron Differences in Energy Loss and Multiple Scattering, Phys. Rev.,93, 38 (1954)14.Chaun-Jong Tung et al, CSDA Rangesof Electrons in Metals,Chinese J. Physics, 17, 1-11 (1979)15.Berger M. J. and Seltzer S. 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