1. Field of the Invention
The invention is related an method used to yield irradiation products with minimal impurities for solid target for gallium (Ga)-68/germanium (Ge)-68 generator. Especially, it refers to a parameter assessment method with easy prediction and control and consistent quality in radiation products.
2. Description of the Prior Art
Traditional method used to yield irradiation products with minimal impurities for solid target for gallium (Ga)-68/germanium (Ge)-68 generator involves electroplating to stabilize gallium (Ga)-69 metal ions on solid target (solid target), irradiating the solid target with different doses of radiation energy (MeV) by trial-and-error, measuring the activity by radioactivity measuring instrument and accordingly calculating the yields. However, this method does not consider radiation energy dose and electroplating thickness of gallium (Ga)-69, so the overall prediction is not accurate and difficult to control.
Another method involves using inorganic acid (such as hydrochloric acid, HCl) to wash off radionuclide germanium (Ge)-68 from the target, measuring the activity by radioactivity measuring instrument and absorbing with organic and inorganic absorbents. This method does not consider other possible nuclear reactions than the primary nuclear reaction and the formation of many impurities when different doses of radiation (MeV) are used to irradiate the solid target. The impurities have similar half-life to the primary nuclides, so there will be a pseudo radiation dose. Therefore, when gallium (Ga)-68 metal ion decayed and washed from the generator is used for drug labeling, the metal ions in impurities will interfere with pretreatment efficiency and lower drug labeling yield.
In view of the drawbacks of traditional process parameter assessment method for the solid target for gallium (Ga)-68/germanium (Ge)-68 generator, the author has made improvement and come out with the present invention.
One objective of the present invention is to provide a process parameter assessment method for the solid target for gallium (Ga)-68/germanium (Ge)-68 generator. It is to figure out the process irradiation energy parameters by utilizing the fundamental principles of physics with respect to the function graph for 69Ga(p, 2n) 68Ge nuclear reaction incident energy and reaction cross-sectional area and the function graph for 69Ga(p, 2n) 68Ge target thickness and incident energy decay. As a result, the overall operation process is simple and the quality of germanium (Ge)-68 nuclide is stable and consistent.
Another objective of the present invention is to provide a process parameter assessment method for the solid target for gallium (Ga)-68/germanium (Ge)-68 generator. Thus, the content of the impurities to the irradiated germanium (Ge)-68 nuclide can be predicted and controlled by scientific means and the irradiation products are formed with the physical and chemical properties that they are supposed to have.
To attain the above objectives and functions, the adopted technical approach includes the following steps:
a. Calculate the thickness d for the electroplated gallium (Ga)-69 on the solid target;
b. On a graph of incident energy decay curves comprising a plural number of different irradiation energy doses Xi and 69Ga(p, 2n) 68Ge target thickness, select a decay curve with a default irradiation energy dose Xi, and based on the electroplating thickness d derive the relative irradiation energy dose Yi after decay;
c. On a graph of corrected function curves for 69Ga(p, 2n) 68Ge incident energy dose and reaction cross-sectional energy area with different germanium (Ge)-68, gallium (Ga)-68, zinc (Zn)-65 irradiation doses and cross-sectional area, based on the defined position by irradiation energy dose Xi and the corresponding irradiation energy dose Yi, derive the two nuclear reaction cross-sectional areas corresponding to germanium (Ge)-68 and figure out the mean reaction area (MRA); by the same means, derive the two nuclear reaction cross-sectional areas corresponding to gallium (Ga)-68 and zinc (Zn)-65, the two nuclear reaction cross-sectional areas corresponding to zinc (Zn)-65 and calculate the mean reaction area for each;
d. Repeat the above step b and step c and complete in sequence other different irradiation energy doses Xi, and derive a plural number of group s of MRAs corresponding to germanium (Ge)-68, gallium (Ga)-68 and zinc (Zn)-65;
e. Select the maximum MRA corresponding to germanium (Ge)-68 and the minimum MRA corresponding to gallium (Ga)-68 and zinc (Zn)-65, and generate the required default radiation dose for each reaction cross-sectional area in the group, which is the optimal reaction energy.
As for the detailed structure, application principles, functions and benefits, please refer to the attached figures and explanation for a complete understanding:
Through the applications from the above
a. Calculate the thickness d for the electroplated gallium (Ga)-69 on the solid target;
b. On a graph of incident energy decay curves comprising a plural number of different irradiation energy doses Xi and 69Ga(p, 2n) 68Ge target thickness, select a decay curve with a default irradiation energy dose Xi, and based on the electroplating thickness d derive the relative irradiation energy dose Yi after decay;
c. On a graph of corrected function curves for 69Ga(p, 2n) 68Ge incident energy dose and reaction cross-sectional energy with different germanium (Ge)-68, gallium (Ga)-68, zinc (Zn)-65 irradiation doses and cross-sectional area, based on the defined position by irradiation energy dose Xi and the relative irradiation energy dose Yi, derive the two nuclear reaction cross-sectional areas corresponding to germanium (Ge)-68 and figure out the mean reaction area (MRA); by the same means, derive the two nuclear reaction cross-sectional areas corresponding to gallium (Ga)-68 and the two nuclear reaction cross-sectional areas corresponding to zinc (Zn)-65 and calculate the mean reaction area for each;
d. Repeat the above step b and step c and complete in sequence other different irradiation energy doses Xi, and derive a plural number of groups of MRAs corresponding to germanium (Ge)-68, gallium (Ga)-68 zinc (Zn)-65;
e. Select the maximum MRA corresponding to germanium (Ge)-68 and the minimum MRA corresponding to gallium (Ga)-68 and zinc (Zn)-65, and generate the required default radiation dose for each MRA in the group, which is the optimal reaction energy.
Please refer to figures from
a. Calculate the thickness d for the electroplated gallium (Ga)-69 on the solid target, the thickness d=0.8 mm.
b. Refer to
c. Refer to
Refer to
Refer to
Then calculate each MRA (mean reaction areas) in the group as follows:
Ge-68 MRA=0.485.
Ga-68 MRA=0.4.
Zn-65 MRA=0.1075.
d. Repeat the above step b to step e to derive each MRA in each group with different default irradiation energy doses Xi (such as 30, 25, 24, 23 MeV etc.).
e. Compare MRA value in each group and find the maximum germanium (Ge)-68 MRA and the minimum gallium (Ga)-68 and zinc (Zn)-65 MRA at default irradiation energy dose Xi=26 MeV; therefore, 26 MeV is the optimal reaction energy.
The irradiation energy parameters derived from the above assessment are used in cyclotron irradiation to generate the best yield and the minimal other nuclides. The actual irradiation parameters are as follows:
1. Irradiation energy: 26 MeV
2. Accelerated particle: proton
3. Beam current: 200 μA
4. Irradiation time: 60 hr
Note: 2˜5 is fixed irradiation condition for 30 MeV cyclotron.
From the above it can be known that the assessment method for the solid target for the gallium (Ga)-68/germanium (Ge)-68 in the present invention proves to be predictive and controllable. Moreover, the irradiation products have consistent quality. Therefore, the present invention has proved to possess industrial usefulness, novelty and progressiveness.
However, the above mentioned is only one preferred embodiment for the present invention and not to limit the scope of the present invention. Those equivalent changes and modifications within the scope of the present invention shall all be covered by the claims of the application.
Number | Name | Date | Kind |
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7521686 | Stuenkel et al. | Apr 2009 | B2 |
20070207075 | Fassbender | Sep 2007 | A1 |
Number | Date | Country | |
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20110077894 A1 | Mar 2011 | US |