Software ASPRO-NUC: Gamma-ray spectrometry, routine NAA, isotope identification and data management

Kolotov, V. P.; Atrashkevich, V.

doi:10.1007/bf02039875

Cited by 17 publications

(4 citation statements)

References 7 publications

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“…The information of used nuclear reactions, radionuclides, gamma energies, and other details of the analysis were reported by us before [11]. Processing of gamma spectra and computations of chemical element mass fractions in the examined samples were carried out using an ASPRO software package [12].…”

Section: Methodsmentioning

confidence: 99%

The Effect of Age and Gender on 37 Chemical Element Contents in Scalp Hair of Healthy Humans

Zaichick¹,

Zaichick

2009

Biol Trace Elem Res

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The effect of age and gender on minor and trace element contents in the scalp hair of 80 relatively healthy 15- to 55-year-old women and men was investigated. Contents or upper limit of contents of 37 chemical elements in the scalp hair were determined by instrumental neutron activation analysis. Mean values (M +/- SEpsilonMu) for the mass fraction of Ag, Au, Ba, Br, Ca, Ce, Cl, Co, Cr, Eu, Fe, Hf, Hg, I, K, La, Lu, Mg, Mn, Na, Rb, Sb, Sc, Se, Sm, Sr, Th, and Zn (milligrams per kilogram of dry hair) were 0.191 +/- 0.018, 0.0102 +/- 0.0014, 6.33 +/- 0.68, 3.59 +/- 0.26, 1320 +/- 110, 0.369 +/- 0.055, 1245 +/- 133, 0.0707 +/- 0.0054, 2.78 +/- 0.22, 0.0082 +/- 0.0021, 88.2 +/- 6.7, 0.040 +/- 0.012, 0.145 +/- 0.009, 6.93 +/- 1.05, 146 +/- 14, 0.238 +/- 0.025, 0.0030 +/- 0.0007, 163 +/- 17, 2.29 +/- 0.30, 344 +/- 31, 0.65 +/- 0.10, 0.062 +/- 0.005, 0.0100 +/- 0.0012, 0.248 +/- 0.008, 0.0090 +/- 0.0010, 45.7 +/- 3.5, 0.0168 +/- 0.0019, and 154 +/- 3, respectively. The upper limits of contents of Cd, Cs, Gd, Nd, Ta, Tb, Tm, and Yb were

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Section: Methodsmentioning

confidence: 99%

The Effect of Age and Gender on 37 Chemical Element Contents in Scalp Hair of Healthy Humans

Zaichick¹,

Zaichick

2009

Biol Trace Elem Res

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“…The information of used nuclear reactions, radionuclides, gamma energies, and other details of the analysis were reported by us before [18]. Processing of gamma spectra and computations of chemical element mass fractions in the examined samples were carried out using an ASPRO software package [19].…”

Section: Methodsmentioning

confidence: 99%

The Effect of Age and Gender on 38 Chemical Element Contents in Human Femoral Neck Investigated by Instrumental Neutron Activation Analysis

Zaichick

2009

Biol Trace Elem Res

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The effect of age and gender on 38 chemical element contents in femoral neck of 85 apparently healthy 15-55-year-old women (n = 38) and men (n = 47) was investigated by instrumental neutron activation analysis. Mean values (M +/- SEpsilonMu) for mass fraction (on dry weight basis) of Ca, Cl, Co, Fe, K, Mg, Mn, Na, P, Sr, and Zn for both female and male taken together were: Ca 153 +/- 3 g/kg, Cl 1,188 +/- 48 mg/kg, Co 0.0039 +/- 0.0004 mg/kg, Fe 55.5 +/- 8.8 mg/kg, K 490 +/- 22 mg/kg, Mg 1,940 +/- 48 mg/kg, Mn 0.385 +/- 0.015 mg/kg, Na 3,850 +/- 70 mg/kg, P 73.0 +/- 1.5 g/kg, Sr 288 +/- 18 mg/kg, and Zn 55.5 +/- 1.6 mg/kg, respectively. The upper limit of mean contents of Cr, Cs, Eu, Hg, Rb, Sb, Sc, and Se were: Cr < or = 0.2, Cs < or = 0.02, Eu < or = 0.007, Hg < or = 0.006, Rb < or = 0.8, Sb < or = 0.02, Sc < or = 0.0004, and Se < or = 0.06 mg/kg, respectively. In all bone samples, the contents of Ag, As, Au, Ba, Br, Cd, Ce, Gd, Hf, La, Lu, Nd, Sm, Ta, Tb, Th, U, Yb, and Zr were under detection limits. The Ca, Mg, and P contents decrease with age. Higher Ca, Cl, K, Mg, Mn, Na, and Sr mass fractions are typical of female femoral neck as compared to those in male bone.

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“…Additional data was computed and added to have enough information to be used with the ranking criteria such as decay chains and normalized emission probabilities [35]. The total number of entries in the LDB is 92453, which is 226 times larger in comparison to [11] and more than twice the used in [15]. The database entry (γline) with the highest energy belongs to 20 Na with 11258.9 1: Graphical description of the basic process.…”

Section: Methodological Approachmentioning

confidence: 99%

“…GammaLab [5] uses a database called "NUCDATA" which includes information "for quick calculations for 408 radioisotopes" [11], however, it is limited in extension in comparison to other well-known databases [12]- [14] and it does not present a study about its accuracy and its real capability of identifying isotopes in a sample. ASPRO-NUC [15] has a wide set of spectral analysis tools: peak search, deconvolution, background line and simulation, spectrum smoothing, among others. It also has algorithms to identify peaks using a database of 45,000 γ-lines corresponding to 2200 radionuclides.…”

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confidence: 99%

Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database

Aguilar-Arevalo

Bertou

Canet

et al. 2022

IEEE Trans. Nucl. Sci.

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Isotope identification is a recurrent problem in γ spectroscopy with high purity germanium detectors. In this work, new strategies are introduced to facilitate this type of analysis. Five criteria are used to identify the parent isotopes making a query on a large database of γ-lines from a multitude of isotopes producing an output list whose entries are sorted so that the γ-lines with the highest chance of being present in a sample are placed at the top. A metric to evaluate the performance of the different criteria is introduced and used to compare them. Two of the criteria are found to be superior than the others: one based on fuzzy logic, and another that makes use of the γ relative emission probabilities. A program called histoGe implements these criteria using a SQLite database containing the γ-lines of isotopes which was parsed from WWW Table of Radioactive Isotopes. histoGe is Free Software and is provided along with the database so they can be used to analyze spectra obtained with generic γ-ray detectors.

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Software ASPRO-NUC: Gamma-ray spectrometry, routine NAA, isotope identification and data management

Cited by 17 publications

References 7 publications

The Effect of Age and Gender on 37 Chemical Element Contents in Scalp Hair of Healthy Humans

The Effect of Age and Gender on 37 Chemical Element Contents in Scalp Hair of Healthy Humans

The Effect of Age and Gender on 38 Chemical Element Contents in Human Femoral Neck Investigated by Instrumental Neutron Activation Analysis

Contextual Isotope Ranking Criteria for Peak Identification in Gamma Spectroscopy Using a Large Database

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