Optimization Method to Determine Gross Alpha-Beta in Water Samples Using Liquid Scintillation Counter


Liquid scintillation counting (LSC) is an adequate nuclear technique to determine radioactivity levels, as verified by this study for the determination of the gross alpha and beta activities of aqueous samples because of its simplicity and low associated cost comparison with other techniques. This paper discusses a new approach to the monitoring of gross alpha and gross beta activities in water. The method consists of using pulse decay discrimination (PDD) liquid scintillation counting LSC of 2 ml of the sample after conditioning with 12 ml of AB-Ultima Gold LSC cocktail, and PDD 139 condition. Different factors that affected on the counting efficiency were studied such as quench reaction, volume of sample, and type of vial. The gross alpha and gross beta particle activity measurement using 40K and 243Am with different activities concentration for efficiency determination. The calculated detection limits were 0.07 Bq/l and 0.12 Bq/l for gross alpha and gross beta respectively for 500 min measurements of samples produced by concentration of one liter of water.

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Abdellah, W. (2013) Optimization Method to Determine Gross Alpha-Beta in Water Samples Using Liquid Scintillation Counter. Journal of Water Resource and Protection, 5, 900-905. doi: 10.4236/jwarp.2013.59092.

1. Introduction

The presence of radioactivity in the environment is caused by naturally occurring radionuclides and cosmic radiation but also by artificial radionuclides, which have been incorporated due to fallout from nuclear accidents and nuclear weapons testing [1]. Levels of naturally occurring radionuclides in the environment are known and in some locations where the levels are high due to the presence of natural radionuclides in the soil, the dose associated to natural sources is much higher than that from artificial sources. However controls for that contribution are not required, except for the case of drinking water, for which many countries have regulations [1]. Many guidance levels have been published to regulate the radiological content of water. In 1998, the European Council Directive 98/83/CE on the quality of water for human consumption was issued [2], which included parameter levels for total dose (0.1 mSv/yr) and tritium content (100 Bq/l). This directive was devised on the basis of previous recommendations made by the World Health Organization [3], which proposed individual radionuclide measurement when gross alpha and gross beta activities are over a screening threshold level (0.5 Bq/l for gross alpha, 1 Bq/l for gross beta). This directive was enforced in Spanish legislation in 2003 [4], which included criteria of the European Directive but also parameter values for gross alpha (0.1 Bq/l) and gross beta excluding 40K (1 Bq/l).

The liquid scintillation process is based on the conversion of a part of the kinetic energy of alpha/beta/gamma radiation into photons. The photons are counted and related to the concentration of alpha/beta/gamma emitter. The principal use of liquid scintillation counting was the assay of low energy beta emitting nuclides. Alpha emitters could be counted by liquid scintillation counting was also known for long time [5].

Analysis of decay times of fluorescence in the scintillators was of great theoretical interest [6,7]. These studies led to scintillation Pulse Shape Analysis [PSA] or Pulse Shape Discrimination [PSD] or Pulse Decay Discrimination [PDD] technique in the field of liquid scintillation counting. Pulse shape analysis allows to recognize types of particles or photons and therefore to count a chosen particle e.g. alpha particle in the presence of other radiation. The intensity of photons from a scintillation event as a function of time can be divided into at least two components, fast or prompt and slow or delayed. The prompt component has a decay time of a few nanoseconds, equal to the fluorescence lifetime of the fluorescing species. The slow component has a decay time of about 200 - 300 ns. Kallmann et al. [8] have suggested that relatively slow ion recombination processes in the scintillator might be the indirect cause of slow components. An alternate suggestion by Harrison [9] was that some molecules are initially excited to long lived (10−7 S) triplet states and they give rise to slow components. There was an opinion that the intensity of each (prompt and delayed) component is governed by characteristics of ingradients of the scintillator solution. Voltz et al. [10] maintained that delayed component is due exclusively to solvent triplets annihilating and eventual production of delayed solute fluorescence. Spurny [11] suggested that delayed fluorescence is caused by mutual annihilation of solute triplets. Ludwig et al. [12] have proposed that the delayed component is due to time lag of ion recombination. Berlman et al. [13] have studied the effect of liquid scintillation solutions on pulse shape discrimination. They have concluded that quarternary scintillators (solvent containing 3 solutes) are most effective for pulse shape discrimination.

The pulse shape analysis technique can be used to detect recoil protons, alpha particles, fission fragments or other charged particles with high specific ionization in the presence of electron or vice versa [14].

The aim of this work was to develop a method for simultaneous determination of gross alpha and gross beta in water samples by LSC was established. Therefore, different parameters affecting on the measurement were studied to provide a rapid results, adequate sensitivity and minimum sample preparation with widely using of chemical needed in order to make it applicable.

2. Experimental

2.1. Apparatus

Liquid scintillation counter, LSC model Packard TRI CARB 3170 TR/SL, which used PSD for α/β separation. The background is reduced by the presence of a guard of bismuth germinate (BGO), which surrounds the counting chamber.

2.2. Standard Solutions Preparation

High purity double deionized water and analytical reagents were used through this study in order to achieve the lowest possible minimum detectable activities (MDA). Standard solutions of 243Am prepared with different activities and 40K standard solutions were prepared by dissolving KCl (MERK, 99% Analar) with different weight in de-ionized water for the total efficiency determination depending on the internal standard method. Three different standards solutions were prepared A, B and C. First standard solution (A) was prepared from mixing equal activity of 243Am and 40K which have a reference values for alpha and beta activities about 8 ± 0.1 Bq/l for both. Second standard solution (B) was prepared with lower activity of beta and higher of alpha from mixing 243Am with activity 8 ± 0.1 Bq/l and 40K with activity 1 ± 0.1 Bq/l. A third standard solution (C) was prepared from mixing higher activity of beta 40K 8 ± 0.1 Bq/l and lower activity of alpha 243Am with 1 ± 0.1 Bq/l.

2.3. Procedures

Synthetic samples solutions were prepared by using different volumes of 243Am and 40K standards with de-ionized water to achieve different activity levels, corresponding to the minimum detectable activities MDA of the method, total of 20 spiked water samples were analyzed.

The samples were adjusted pH to 2.5 with concentrated HNO3 (68%). 100 ml of each sample was evaporated directly in a Liquid scintillation vial a till 10 ml using hotplate with vigorous stirring in order to eliminate radon and to avoiding the salt precipitation. The maximum temperature recommended for polyethylene vials was 80˚C. After evaporation the orthophosphoric acid is added to the evaporated samples to dissolve the salts. The treated samples were mixed with a certain amount of Packard AB-Ultima Gold LSC cocktail for starting the measurement. Each sample was counted for 500 min (2 × 250 min counts). Blanks were prepared by applying the same procedure as for samples taking into consideration the dilution factor [15].

The different factors affecting on the measurement





process such as quenching effect by using CCl4 with different concentration, volume of the sample and vial type (polyethylene or glasses) were studied.

Validation method has been done by analysis IAEACu-2008-04, reference material which contains activity concentration 3.93 and 15.7 Bq/Kg for gross alpha and beta.

The equations, from (1) to (4) were used to calculate the alpha and beta activities and efficiencies.

Minimum detectable activities (MDA’s) are calculated as shown in Equation (5).



B = total counts for an appropriate reagent blank;

T = count time in minutes;

E = counting efficiency;

AF = attenuation factor (if applicable);

V = sample volume (if applicable) in liters and;

Y = chemical yield (if applicable).

The equation provides the result in pCi/L [16].

3. Results and Discussion

3.1. Calibration

In order to optimize alpha/beta separation performance, it is essential to determine the correct PDD setting; the optimum setting is the setting where there is equal and minimum spill of alpha pulses into the beta multichannel analyzer, MCA and beta pulses into the alpha MCA [17].

Determination of PDD required pure alpha and beta standard, for the most accurate results, the standards must be as near identical as possible to the unknown samples in their chemistry, volume, vial type, etc. To arrive the optimum setting each standard counted individually at a range of PDD setting and the percent misclassification of alpha into beta MCA and vice versa are plotted against PDD on the same graph. Figure 1 represents the typical misclassification plot for 36Cl and 241Am standards for determination the optimum setting that result in minimum misclassification of alpha and beta activity. The obtained calculated data show that 139 is the best setting for the PDD as in Figure 1.

When only beta emitters is of interest, a PDD values below the determined value may be used which minimize the misclassification of alpha activity into beta the MCA at the expense of reducing the beta efficiency similarly when alpha emitter is of interest [18].

3.2. Factors Influencing Alpha/Beta Discrimination

3.2.1. Quenching

In this approach, the misclassification is always deter-

Figure 1. Misclassification for the determination of optimum PDD setting using 241Am and 36Cl standards.

mined at the original PDD setting. By plot the percentage misclassification versus transformer spectral index of the sample, tSIE for single PDD setting. All samples then be counted within a single protocol and a correction for misclassification as a function of quench is applied. The following Figures 2 and 3 show the effect of quenching tSIE on percent misclassification of alpha and beta events using CCl4 with different concentrated for quench reaction as in Table 1.

From Table 1 with increasing the concentration of CCl4 from 0 to 2000 µl the activity determined for 243Am decrease from 557 CPM to 238 CPM and for 40K from 402 CPM to 424 CPM due to the effect of quench.

3.2.2. Materials of Vial

Glass vials and plastic vials were used and it was found that the efficiency obtained was very good in both plastic and glass vials. polyethylene vial used and the background net count was 2 CPM and 9 CPM for alpha and beta respectively and it was lower than the glass vials 3 CPM and 17 CPM. The higher background due to the glass vials containing little amount of 40K in the glass composition. So the plastic vials were chosen as the best option for display lower background as shown in Table 2 and this agree with other investigators Yu-Yufu et al., (1990) [19] and IAEA, (2010) [20].

3.2.3. Sample Volume

The results obtained from using different volumes of liquid scintillation cocktails, at which the samples were prepared by evaporation of the aqueous phase and residue dissolution with 2 ml, 4 ml of H3PO4 2 M acid solution. The volume was kept constant in all the measured samples. Although the different in volumes the best volumes is minimum volume due to the lower quench [21].

Table 1. Alpha and beta activity measurements with different volume of quench solution (CCl4).

Table 2. Influence of vial type in determining gross alpha and beta activity.

Figure 2. Alpha and beta background count rate as a function of transformer spectral index (tSIE) for polyethylene LSC vials.

4. Accuracy of Measurement with Varying α/β Ratios

A set of standards containing varying quantities and ra-

Figure 3. Alpha and beta background count rate as a function of transformer spectral index (tSIE) for glass LSC vials.

tios of Alpha and Beta was measured to assess the accuracy.

Table 3 and Figures 4-6 summarize the results that obtained from LSC after counting both higher and lower

Conflicts of Interest

The authors declare no conflicts of interest.


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