<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJAC</journal-id><journal-title-group><journal-title>American Journal of Analytical Chemistry</journal-title></journal-title-group><issn pub-type="epub">2156-8251</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajac.2018.91003</article-id><article-id pub-id-type="publisher-id">AJAC-81730</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject></subj-group></article-categories><title-group><article-title>
 
 
  Optimizing Sampling, Sample Processing and Analysis Methods for Radon (&lt;SUP&gt;222&lt;/SUP&gt;Rn) in Water by Liquid Scintillation Counting
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Uttam</surname><given-names>K. Saha</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michael</surname><given-names>E. Kitto</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dana</surname><given-names>R. Lynch</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Anchal</surname><given-names>Bangar</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pamela</surname><given-names>R. Turner</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gabrielle</surname><given-names>Dean</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Leticia</surname><given-names>S. Sonon</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Family and Consumer Science Extension Agent, Monroe County Extension, The University of Georgia, Forsyth, GA, USA</addr-line></aff><aff id="aff1"><addr-line>Agricultural and Environmental Services Laboratories, The University of Georgia, Athens, GA, USA</addr-line></aff><aff id="aff2"><addr-line>Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, New York State Department of Health, Albany, NY, USA</addr-line></aff><aff id="aff4"><addr-line>Department of Financial Planning, Housing and Consumer Economics, The University of Georgia, Athens, GA, USA</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>sahau@uga.edu(UKS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>03</day><month>01</month><year>2018</year></pub-date><volume>09</volume><issue>01</issue><fpage>25</fpage><lpage>47</lpage><history><date date-type="received"><day>16,</day>	<month>December</month>	<year>2017</year></date><date date-type="rev-recd"><day>9,</day>	<month>January</month>	<year>2018</year>	</date><date date-type="accepted"><day>12,</day>	<month>January</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Throughout the United States, laboratories use different sampling methods (“Direct Fill” vs. “Submerged Bottle” methods), sample preparations (“Simultaneous Drawing” vs. “Separate Drawing”), scintillators (“Mineral Oil” vs. “Opti-Fluor”), volume of water plus scintillator in the cocktail (“8 mL plus 8 mL” vs. “10 mL plus 10 mL”), and liquid scintillation counting assays (“Full Spectrum: 0 - 2000 keV” vs. “Region of Interest: 130 - 700 keV”) for analyzing radon (
  <sup>222</sup>Rn) in water. We compared these and few other variables on the recovery of radon from two “Proficiency Test (PT)” samples and four “Household Well Water” samples from Georgia. The “130 - 700 keV” assay had significantly higher radon recovery than the “0 - 2000 keV” assay. The “Direct Fill” sampling produced significantly lower radon recovery than the “Submerged Bottle” sampling. “Simultaneous Drawing” of both scintillator and water sample yielded higher radon recovery than “Separate Drawing”. Air bubble in the samples resulted in significant loss of radon gas; and such loss became greater as the air bubble was larger. A “10 mL scintillator + 10 sample” combination appeared better than “8 mL scintillator + 8 mL sample”. Mixing scintillator and sample in the laboratory, when compared with doing it on-site, was found superior for better results and practicality of testing radon in private well waters. “Mineral Oil” scintillator provided higher radon activity than “Opti-Fluor”. However, in 10 consecutive measurements of the two proficiency test (PT) samples at 60 days interval (
  i.e., with full ingrowing), “Mineral Oil” overestimated the radon activity compared to the predicted/assigned value in most cases, whereas “Opti-Fluor” invariably produced results close to the predicted/assigned value. There were noticeable temporal variations in both radon and uranium concentrations in the study wells; nevertheless, uranium and radon concentrations had good positive correlation. Despite this, the use of uranium concentration over 30 ppb (
  the 
  MCL 
  of 
  uranium 
  in 
  drinking 
  water) as a trigger for recommending test for radon in well water remains questionable because there may be the safe level of uranium but unsafe level of radon in a well and vice versa.
 
</p></abstract><kwd-group><kwd>Mineral Oil</kwd><kwd> Opti-Fluor</kwd><kwd> Proficiency Test (PT)</kwd><kwd> Radon (&lt;SUP&gt;222&lt;/SUP&gt;Rn)</kwd><kwd> Liquid Scintillation</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Both groundwater and surface water in some parts of Georgia and South Carolina have long been known to contain varying levels of radionuclides from three naturally occurring decay series headed by <sup>238</sup>U, <sup>232</sup>Th, and <sup>235</sup>U [<xref ref-type="bibr" rid="scirp.81730-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref4">4</xref>] . For example, Coker and Olive [<xref ref-type="bibr" rid="scirp.81730-ref4">4</xref>] tested 90 wells in Georgia for radon (<sup>222</sup>Rn) and other radionuclides and concluded that groundwater from the granite and gneiss aquifers in the Piedmont physiographic province contained the highest average concentrations of naturally occurring radionuclides. Likewise, Stone et al. [<xref ref-type="bibr" rid="scirp.81730-ref5">5</xref>] found elevated levels of radium in drinking water in the “Piedmont and Coastal Plain Sandhills” regions and elevated uranium in water in the “Piedmont (and Blue Ridge)” region of South Carolina. Furthermore, Albertson [<xref ref-type="bibr" rid="scirp.81730-ref6">6</xref>] reported activities of gross alpha, radium-226, and combined radium-226 plus radium-228 above Environmental Protection Agency’s (EPA) corresponding drinking water Maximum Contaminant Levels (MCL) in some community water systems in the Piedmont, Blue Ridge, and parts of the Coastal Plain physiographic provinces of Georgia. Elevated uranium concentrations were also detected in drinking water in the Piedmont and Blue Ridge physiographic provinces [<xref ref-type="bibr" rid="scirp.81730-ref6">6</xref>] .</p><p>In 2010, routine testing of waters from some private drinking water wells at the University of Georgia’s (UGA) Agricultural and Environmental Services Laboratories (AESL) detected uranium at concentrations above EPA’s MCL of 30 parts per billion (ppb). As of November 16, 2017, the total number of water samples tested for uranium was 1265. Of these, 148 had detectable amounts of uranium (above 10 ppb) with 63 being above the 30 ppb MCL. One of the wells tested as high as 6297 ppb, which is more than 200 times greater than EPA’s MCL. All of these 63 samples with uranium above the MCL were from the Piedmont Blue Ridge Regions above the “Fall Line”, which extends from Columbus in the west, Macon in the middle to Augusta in the east. The AESL developed a mapping program and made it available online for public at: http://aesl.ces.uga.edu/water/map/. The AESL’s data also showed that high level of uranium in well water was often associated with high levels of radon in well water and in indoor air (measured in air by the homeowner). The geographical association of high uranium and radon results in the AESL database suggests that uranium, radon, and other radionuclides in deep wells originate predominantly from naturally occurring granitic bedrock located primarily in the Piedmont and Blue-Ridge (PBR) regions of Georgia, corroborating the observations of earlier investigators [<xref ref-type="bibr" rid="scirp.81730-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref6">6</xref>] .</p><p>Exposure to radionuclides through drinking water could result in various public health concerns. In this context, alpha radiation from uranium, radium, and their progenies, including radon are particularly important. According to World Health Organization, when the gross-alpha (α) activity in drinking water exceeds 0.5 Bq/L (or 13.5 pCi/L) or gross-beta (β) activity exceeds 1 Bq/L (or 27 pCi/L), radionuclide-specific activities should be analyzed and brought below the WHO guidance levels, which are 0.1 Bq/L for <sup>228</sup>Ra; 1 Bq/L each for <sup>223-226</sup>Ra, <sup>234</sup>U, and <sup>235</sup>U; 10 Bq/L for <sup>238</sup>U; 100 Bq/L for <sup>222</sup>Rn, and 15 μg/L (ppb) for total uranium [<xref ref-type="bibr" rid="scirp.81730-ref7">7</xref>] . Ingested radionuclides could get absorbed into the blood stream and accumulate in specific tissues, bone, and organs causing damage to them or can be excreted out of the body [<xref ref-type="bibr" rid="scirp.81730-ref8">8</xref>] . Some examples in this regards are: 66% of absorbed uranium could be rapidly eliminated via urine, while the rest could be distributed and stored in the kidney (12% - 25%), bone (10% - 15%), and soft tissues (Wrenn et al., 1985); radium could accumulate primarily in the bone [<xref ref-type="bibr" rid="scirp.81730-ref9">9</xref>] . Ingested uranium primarily causes chemical toxicity, especially nephrotoxicity [<xref ref-type="bibr" rid="scirp.81730-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref11">11</xref>] , whereas ingested radium and radon could induce radiotoxicity leading to cancer [<xref ref-type="bibr" rid="scirp.81730-ref9">9</xref>] . Ingested radon gas through drinking water diffuses into the stomach wall and can cause stomach cancer by irradiating stomach wall tissues [<xref ref-type="bibr" rid="scirp.81730-ref12">12</xref>] . In contrast, lung cancer due to inhaled radon from indoor air has been undisputedly established [<xref ref-type="bibr" rid="scirp.81730-ref13">13</xref>] .</p><p>Interestingly, radon in a household water supply poses both inhalation and ingestion risks with most risk due to inhalation of radon released from the water into the indoor air during showering, laundering, etc. A very rough rule of thumb for estimating the contribution of radon in household water to indoor air radon is that water with 10,000 pCi/L of radon contributes about 1 pCi/L to the level of radon in the indoor air. Based on a National Academy of Sciences report on radon in drinking water [<xref ref-type="bibr" rid="scirp.81730-ref14">14</xref>] , it has been estimated that in the USA radon in drinking water causes about 168 cancer deaths per year, 89% from lung cancer caused by breathing in radon released from water, and 11% percent from stomach cancer caused by ingesting radon-containing water [<xref ref-type="bibr" rid="scirp.81730-ref15">15</xref>] .</p><p>From 2010 through 2013, The University of Georgia (UGA) Extension conducted a public education program, along with a half-price water testing service, to encourage well owners to test their waters for uranium. The intent was to expand the database to better understand the nature and extent of the problem, and increase public awareness in this regard. The program is still active, but at a full price for the test. People from Georgia counties with high uranium and radon in well water reported [<xref ref-type="bibr" rid="scirp.81730-ref16">16</xref>] to various agencies about numerous health problems including cancer, kidney problems, autoimmune disorders, gastrointestinal symptoms, and neuropathy despite the apparent absence of any published report for the affected areas directly linking these contaminants and the reported illnesses.</p><p>In August 2015, the AESL and the College of Family and Consumer Sciences of the UGA launched a new Radon in Household Water Testing and Education program in collaboration with the Laboratory of Inorganic and Nuclear Chemistry, New York State Department of Health. The EPA recommended Liquid Scintillation Counting (LSC) for analyzing radon in water [<xref ref-type="bibr" rid="scirp.81730-ref17">17</xref>] , which was subsequently approved in New York State by the Environmental Laboratory Approval Program [<xref ref-type="bibr" rid="scirp.81730-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.81730-ref19">19</xref>] . However, laboratories analyzing radon in drinking water across the USA follow different sampling methods (“Direct Fill” vs. “Submerged Bottle”), sample preparations (“Simultaneous Drawing” vs. “Separate Drawing”), scintillation fluids (“Mineral Oil” vs. “Opti-Fluor”), volume of water plus scintillator in the counting vial (“8 mL + 8 mL” vs. “10 mL + 10 mL” combinations), mixing scintiallation fluid and water in the laboratory vs. on-site, and LSC assays (“0 - 2000 keV” vs. “130 - 700 keV”). The advantages and disadvantages of these practices are yet to be fully evaluated to optimize the sampling and analysis conditions. Moreover, it has also remained unresolved as to whether presence of an air bubble in the water sample vial is acceptable or unacceptable. This paper reports the results of a study comparing these variables on the recovery of radon from two “Proficiency Test (PT)” samples and four “Household Well Water” samples.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Water Samples</title><p>We used two <sup>222</sup>Rn in water “proficiency test (PT)” or standard samples designated as “Standard-15” and “Standard-17” obtained from co-author Kitto and numerous samples from four household wells from Monroe County, Georgia. The four household wells included in this study are designated as “Well-1: 6090DFR”, “Well-2: 711JP”, “Well-3: 715JP”, and “Well-4: 578TR”. Three of these household well waters contained elevated levels of uranium. A prior analysis of the Well-6090DFR water revealed 629 ppb uranium, 3.8 pCi/L radium (<sup>226</sup>Ra + <sup>228</sup>Ra), and 79,000 pCi/L radon. The “Standard-15” and “Standard-17” are reusable radon-in-water standards as they were prepared using a <sup>226</sup>Ra- loaded filter sandwiched in polyethylene sheeting [<xref ref-type="bibr" rid="scirp.81730-ref20">20</xref>] . At full in growth (&gt;30 days), the <sup>222</sup>Rn produced by the sandwiched <sup>226</sup>Ra sources in both “Standard-15” and “Standard-17” should be 4375 pCi/L at 100% emanation, but due to retardation by the polyethylene, produces only 3762 pCi/L at 86% emanation. Using these two standard water samples and four well water samples, we compared the seven variables concerning sampling methods, sample preparations, scintillation fluids, volume of water plus scintillator in the counting vial, and LSC counting assays as described hereunder.</p></sec><sec id="s2_2"><title>2.2. Methods of Sampling</title><p>We compared “Submerged Bottle” versus “Direct Fill” methods of sample collection. Two samples were collected for each method. For the “Submerged Bottle” method (<xref ref-type="fig" rid="fig1">Figure 1</xref>), water was collected into a bowl by gently flowing down one side with minimal disturbance. Then the entire sample bottle and lid were submerged under water in the bowl, opened, and filled. The water-filled bottle was capped while still under water and turned it upside down. If air bubbles were present, the bottle was emptied and refilled again until air bubbles were no longer observed. The procedure was repeated with the second bottle. For the “Direct Fill” method (<xref ref-type="fig" rid="fig2">Figure 2</xref>), gently flowing water was collected directly into the top opening of the sample bottle, carefully avoiding turbulence. The bottle was allowed to gently overflow, forming a slight dome of water at the opening. The bottle was promptly capped and checked for air bubbles by inverting bottle and tapping gently. If air bubbles were present, the bottle was emptied, and the filling procedure repeated until air bubbles were no longer observed in the water sample. The procedure was repeated with the second bottle.</p></sec><sec id="s2_3"><title>2.3. Liquid Scintillation Counting (LSC) Assays</title><p>Using a Tricarb 2910 Liquid Scintillation Counter (PerkinElmer, Waltham , MA) for counting radon in water, we compared radon recovery from two different liquid scintillation counting assays as presented in <xref ref-type="table" rid="table1">Table 1</xref>. The “Assay-1” is a full spectrum assay covering the whole range of energy with the region of interest (ROI) from 0 to 2000 keV. In contrast, the “Assay-2” is limited within the ROI for <sup>222</sup>Rn from 130 to 700 keV, excluding the counts below 130 keV (which is indeed from “Bremsstrahlung” radiation). Cutting out the low-energy (below 130 keV) betas also reduces the quenching and background. The efficiency (cpm/dpm) in Assay-2 is 3.0 to 3.1 (or about 66% absolute efficiency for each alpha or beta emission).</p></sec><sec id="s2_4"><title>2.4. Scintillation Cocktail Prepared On-Site versus in the Laboratory</title><p>Here we compared two situations: 1) right after collection, the samples were injected underneath the preloaded scintillator in the vial “on-site”; and 2) the collected samples were brought to laboratory and then injected underneath the preloaded scintillator in the vial. A “10 mL scintillator + 10 mL sample” combination was used in both cases. We compared both “Mineral Oil” and “Opti- Fluor” in combination with these two variables.</p></sec><sec id="s2_5"><title>2.5. Type of Scintillation Fluids</title><p>We compared the efficacy of two different scintillation fluids namely, “Opti- Fluor” and “High Efficiency Mineral Oil Scintillator” (PerkinElmer, Waltham, MA), as both are recommended and used for analyzing radon in water. “Opti- Fluor” used in this study is a benzene-based mixture of high flash point and low volatility organic solvents that produced a background count rate of 15 cpm and 71% quench parameter, it is biodegradable. The “High Efficiency Mineral Oil Scintillator” used in this study contains primarily white mineral oil (60% - 80%) and 1, 2, 4-trimethylbenzene (20% - 40%), it is not biodegradable, with a background of 15 cpm and 107.5% counting efficiency.</p></sec><sec id="s2_6"><title>2.6. Volume of Sample and Scintillation Fluid</title><p>We compared recovery of radon for two different preparations: “8 mL scintilla tion fluid + 8 mL sample” versus “10 mL scintillation fluid + 10 mL sample”.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The two different LSC assays compared in this study<sup>&#167;</sup></title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Regions</th><th align="center" valign="middle"  colspan="2"  >Assay-1</th><th align="center" valign="middle"  colspan="2"  >Assay-2</th></tr></thead><tr><td align="center" valign="middle" >Lower Limit (keV)</td><td align="center" valign="middle" >Upper Limit (keV)</td><td align="center" valign="middle" >Lower Limit (keV)</td><td align="center" valign="middle" >Upper Limit (keV)</td></tr><tr><td align="center" valign="middle" >A</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >700</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >1800</td></tr><tr><td align="center" valign="middle" >C</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >2000</td></tr></tbody></table></table-wrap><p><sup>&#167;</sup>Lower and upper limits represents ranges of energy (in kilo-electric-volt) used in the two different LSC assays.</p><p>The volumes used by analytical laboratories vary but must be identical to those used to standardize the Liquid Scintillation Counter used for the analyses.</p></sec><sec id="s2_7"><title>2.7. Methods of Mixing the Sample and Scintillation Fluid</title><p>We compared two different methods of mixing sample and scintillation fluid on the recovery of radon. For the first method, called “Separate Drawing” (<xref ref-type="fig" rid="fig3">Figure 3</xref>), the scintillation fluid (8 or 10 mL) was preloaded into the scintillation vial, and then the sample (8 mL or 10 mL) was pipetted and injected underneath the scintillation fluid. The second method, called “Simultaneous Drawing” (<xref ref-type="fig" rid="fig4">Figure 4</xref>), had the scintillation fluid (8 mL or 10 mL) drawn into a pipette, then the water sample (8 mL or 10 mL) was drawn into the same pipette underneath the scintillation fluid and finally both sample and scintillation fluid were dispensed into the scintillation vial. The vials were capped immediately in both methods and shaken vigorously to expedite transfer of radon into the scintillation fluid.</p></sec><sec id="s2_8"><title>2.8. Effects of Air Bubble in the Sample</title><p>After collection of samples with no air bubble, 0.5 mL of water was quickly withdrawn from a set of samples collected from each of “Well-715JP” and “Well- 578TR”. Another set of samples were prepared withdrawing 1 mL of water in the same way. The vials were recapped immediately after such withdrawal. The withdrawal of 0.5 or 1 mL of water created an air bubble of either 0.5 cc or 1 mL thereby enabling us to study the effect of air bubble on radon counts in these two wells. Simultaneous drawing of 10 mL of mineral oil + 10 mL water sample was used to prepare the samples, which were then measured by assay-2 (130 - 700 keV).</p></sec><sec id="s2_9"><title>2.9. Procedure for Testing Uranium in Well Waters</title><p>Well water samples were preserved by addition of HNO<sub>3</sub> to pH &lt; 2 upon receipt and filtered prior to analysis when suspended solids appear excessive for passage through the ICP nebulizer. Uranium in the acidified-filtered samples was determined following the EPA method 200.7 [<xref ref-type="bibr" rid="scirp.81730-ref21">21</xref>] on an “ICP-AVOES” instrument; model “ARCOS FHE” (SPECTRO Analytical Instruments GmbH, Germany). In this method, analysis of samples begins with introduction of the sample into the nebulizer/spray chamber where uniform droplets are swept via an argon gas stream into a high temperature plasma torch. The power delivered by a radio frequency field is absorbed by atomic species in the sample inducing an electronic transition to a higher orbital. Upon passage through this high energy field, the electrons ‘relax’ into more stable orbits by releasing the previously absorbed energy. Much of this released energy is measurable as light in the ultraviolet to visible range of the electromagnetic spectrum. The wavelength of the light emitted corresponds to a specific analyte, and it is 385.958 nm for uranium. The intensity of the light emitted by uranium is positively correlated to concentration in the original sample, and thus the intensity is calibrated to indicate the concentration. It is worth mentioning here that this method is appropriate for the simultaneous analysis of any and all analytes specified in EPA method 200.7.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Studies on the Well Water Sample</title><sec id="s3_1_1"><title>3.1.1. Sampling Method: Direct-Fill Method versus Submerged Bottle Method</title><p>Duplicate water samples were collected from four private well by both “Direct Fill” and “Submerged Bottle” methods. They were prepared in the laboratory by “Simultaneous Drawing” of 10 mL Opti-Fluor fluid and 10 mL sample, and then counted by “Assay-2 (130 - 700 keV)”. As depicted in <xref ref-type="fig" rid="fig5">Figure 5</xref>, measured radon in “Direct Fill” sampling was significantly lower than that in “Submerged Bottle” sampling for all four wells. Such results suggest that the “Direct Fill” method of sampling is prone to a substantial loss of radon as compared to “Submerged Bottle” method. It is also worth mentioning here that it is very difficult to collect a sample by “Direct Fill” without formation of an air bubble. Generally, it required several attempts to collect a bubble free sample. So, this method of sampling was dropped from our laboratory’s recommendation because it is troublesome and susceptible to substantial loss of radon during sampling.</p></sec><sec id="s3_1_2"><title>3.1.2. Liquid Scintillation Assays: “Assay-1 (0 - 2000 keV)” versus “Assay-2 (130 - 700 keV)”</title><p><xref ref-type="fig" rid="fig6">Figure 6</xref> shows the results of radon concentrations in the water sampled by the submerged bottle method from well-6090DFR given by the two LSC assays, “Assay-1 (0 - 2000 keV)” versus “Assay-2 (130 - 700 keV)”. The “Assay-2” gave significantly higher radon results than “Assay-1” regardless of scintillation fluids (Opti-fluor or mineral oil) and volume ratios of the scintillator: sample (10 mL: 10 mL or 8 mL: 8 mL) used. Thus, it is clear that exclusion of the low-energy portion (prior to 130 keV) with higher background and Bremsstrahlung radiation is a better way to analyze radon in water. Similar results were also obtained with the samples from the other three wells (data not shown for the sake of brevity).</p></sec><sec id="s3_1_3"><title>3.1.3. Sample Preparation: On-Site versus Laboratory</title><p>Duplicate samples, collected by the “Submerged Bottle” method from each well, were prepared onsite using 10 mL of mineral oil or Opti-fluor by “Separate Drawing” (2 &#215; 2 = 4 samples for each of the four wells). Another set of 4 samples</p><p>for each well collected by the same method were brought to the laboratory and prepared in the same away using 10 mL of mineral oil or Opti-fluor fluid in duplicate. All of these 8 samples for each of the four wells were counted on LSC by “Assay-2 (130 - 700 keV)”. The results revealed that the radon concentration in the samples prepared in the laboratory were in general significantly higher than those obtained for the samples prepared on-site (<xref ref-type="fig" rid="fig7">Figure 7</xref>), regardless of whether Opti-fluor or mineral oil was used as the scintillator. The only exception where these two variables produced statistically similar results was the samples from the well-711JPR prepared in mineral oil. Our results suggest that radon is better retained in the scintillation fluids if the waters are injected under the scintillation fluid in the laboratory rather than on-site. Such results may be due the fact that to some extent longer time was elapsed keeping the vial exposed to air in case of on-site preparation as compared to when it was done in the laboratory because preparation in the laboratory was more convenient as compared to on- site. This finding negates the general belief that water sample for testing radon need to be mixed with scintillator on-site. The finding is indeed favorable for practicality because the ordinary homeowners would most likely be unable to inject the right amount of water sample under the scintillation fluid in the vial on-site in correct manner by themselves and it would expose them to the scintillation fluid.</p></sec><sec id="s3_1_4"><title>3.1.4. Effects of Scintillation Fluid Type, Volume of Scintillation Fluid and Sample, and Methods of Mixing</title><p>As depicted in <xref ref-type="fig" rid="fig8">Figure 8</xref>, for all four well waters, use of 10 mL mineral oil + 10 mL sample resulted in significantly higher radon count rates than 10 mL Opti- fluor + 10 mL sample regardless of the mixing methods (“Simultaneous Drawing” or “Separate Drawing”). Mineral oil also yielded significantly higher radon count rates than Opti-fluor when an 8 mL scintillator + 8 mL sample was used (data not shown).</p><p>The extraction of radon from water relies on the fact that radon is more soluble in organic solvents than in water. When added to water, the Opti-fluor scintillation fluid (emulsifying) initially forms a white emulsion, which should separate into two clear layers before counting to avoid the disruption of extraction and recovery of the radon and interference of water soluble radionuclides, such as radium, with radon counting. Mineral oil is more effective to bring about such desired separation into two distinct layers faster (<xref ref-type="fig" rid="fig9">Figure 9</xref>).</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref>0 shows that with simultaneous drawing, 10 mL mineral oil + 10 mL</p><p>sample resulted in significantly higher radon count rates (i.e., counts per unit volume of water) than 8 mL mineral oil + 8 mL sample for all four well waters. With separate drawing of mineral oil and sample similar results were obtained with regards to the effects of these two different volume ratios (data not shown). Furthermore, use of 10 mL Opti-fluor + 10 mL sample also gave significantly higher radon count rates than 8 mL Opti-fluor + 8 mL regardless of simultaneous or separate drawing (<xref ref-type="fig" rid="fig1">Figure 1</xref>1).</p><p>The simultaneous drawing of scintillator and the sample in the same pipette yielded significantly higher radon count rates than their separate drawing regardless of whether mineral oil (<xref ref-type="fig" rid="fig8">Figure 8</xref>) or opti-fluor (<xref ref-type="fig" rid="fig1">Figure 1</xref>1) was the scintillator and whether the volume ratios of the scintillator: sample was 10 mL:10 mL or 8 mL:8 mL. Such results suggest that some radon escaped, probably into the headspace of the pipette, when done as a “Separate Drawing.</p></sec><sec id="s3_1_5"><title>3.1.5. Temporal Variation of Radon Concentration in the Same Well</title><p>When the same three wells were sampled and analyzed on two different dates (28 May, 2016 and 16 June, 2016), we obtained remarkably different radon concentrations for the two different dates in any given wells (<xref ref-type="fig" rid="fig1">Figure 1</xref>2). Such results suggest that temporal variation in radon concentration in the well waters is significant and should be duly considered for determining the actual overall exposure of the household members.</p></sec><sec id="s3_1_6"><title>3.1.6. Effects of Air Bubble in the Sample</title><p>The negative effect of air bubble was paramount. As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>3, the presence of air bubble gave significantly lower radon counts than when air bubble was absent. This effect was greater as the size of the air bubble was larger. As an example, the well-578TR with 108,027 pCi/L radon, a 1 cm<sup>3</sup> air bubble</p><p>reduced the radon count by 24,508 pCi/L. According to Passo and Floeckher [<xref ref-type="bibr" rid="scirp.81730-ref22">22</xref>] , there could be 4 times as much radon in the air bubble as it would be in an equal volume of water. Thus, for a 22 mL vial used in this study with 21 mL water and 1 mL air bubble, 1 mL water would contain radon equivalent to 5144 pCi/L for the Well-578TR. Therefore, a 1 cm<sup>3</sup> bubble could cause a theoretical loss of 20,576 pCi/L. However, the measured loss (24,508 pCi/L) was to some extent higher than this theoretical loss, which could be due to additional loss that might have happened during sample preparation. Based on this study, a sample with an air bubble must be rejected even though some literature has reported an insignificant effect of an air bubble on the recovery of radon in water.</p></sec></sec><sec id="s3_2"><title>3.2. Studies on the Standard Samples</title><p>The assigned known concentration of radon in both “Standard-15” and “Standard-17” is 3840 pCi/L with the lower and upper acceptance limits of 2880 (~75% of the known) and 4800 (~125% of the known) pCi/L, respectively (Kitto et al., 2008b). As depicted in <xref ref-type="fig" rid="fig1">Figure 1</xref>4, the assay-1 (0 - 2000 keV) gave unacceptably lower radon counts (2451 - 2532 pCi/L) than that (4150 - 5133 pCi/L) given by assay-2 (130 - 700 keV) for both Standard-15 and Standard-17 regardless of using mineral oil or Opti-fluor and simultaneous or separate drawing. The results further show that when measured using assay-2 (130 - 700 keV), use of “mineral oil” gave higher radon activity than “Opti-fluor” (<xref ref-type="fig" rid="fig1">Figure 1</xref>4), just as we observed with the well waters (<xref ref-type="fig" rid="fig8">Figure 8</xref>). However, “simultaneous drawing” gave radon counts statistically identical to “separate drawing” (<xref ref-type="fig" rid="fig1">Figure 1</xref>4) for the standard samples despite the fact that “simultaneous drawing” gave significantly higher radon counts than “separate drawing” for the well water samples (<xref ref-type="fig" rid="fig8">Figure 8</xref>). Such variable results may be related to the fact that the radon concentrations in the four well waters (21,453 - 108,027 pCi/L) were much higher than that in the standard samples (4150 - 5133 pCi/L). However, it is worth noting that “mineral oil” grossly overestimated the radon activity (5090 and 5133 pCi/L) as compared to their predicted or assigned value (3840 pCi/L).</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref>5 plots the detailed results of the 10 consecutive radon measurements carried out at around 60-day intervals at the University of Georgia (UGA) laboratory using LSC assays and compare these results with those reported by other laboratories across the United States using various methods. The x-axis represents the various laboratories in the US. The y-axis is the measured radon.</p><p>The data points corresponding to x-axis values1-22 were reported by various other laboratories in the nation [<xref ref-type="bibr" rid="scirp.81730-ref20">20</xref>] and plotted in ascending order. The data points corresponding to x-axis values 23 and higher are the values obtained in the UGA laboratory by 4 different sample processing (mineral oil and Opti-fluor in combination with simultaneous and separate drawings: 2 &#215; 2 = 4). The blue- filled and red-filled circles are the results obtained from the cocktails prepared in mineral oil and analyzed the assay-2 (130 - 700 keV ROI) and assay-1 (0 - 200 keV ROI), respectively. The blue-open and red-open circles are the results obtained from the cocktails prepared in opti-fluor and analyzed the assay-2 (130 - 700 keV ROI) and assay-1 (0 - 200 keV ROI), respectively.</p><p>As depicted in <xref ref-type="fig" rid="fig1">Figure 1</xref>5, all results generated by the assay-1 (0 - 2000 keV ROI) were lower than the lower limit of acceptance, which means they all failed. Among the results generated by assay-2 (130 - 700 keV), the data points for the samples prepared in “mineral oil” were mostly higher than the upper limit of acceptance, which means they also failed in most cases. In contrast, all results from Opti-fluor are acceptable, and at least half of them were very close to the true value. Therefore, the assay-1 (0 - 2000 kev ROI) with both mineral oil and Opti-fluor can grossly underestimate the actual radon concentration, and with assay-2 (130 - 700 keV ROI), mineral oil can over-estimate the radon concentration; both of these should be avoided.</p></sec><sec id="s3_3"><title>3.3. Uranium Concentration</title><p>Out of the four wells, three wells (Well-6090DFR, Well-715JP, and Well-578TR) had uranium concentration much higher than the EPA’s drinking water MCL (<xref ref-type="table" rid="table2">Table 2</xref>). The uranium level in the Well-711JP was below the MCL. However, all of the four study wells had radon concentrations much higher than the EPA- proposed MCL of 300 pCi/L as well as the proposed alternate MCL (AMCL) of</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Concentration of uranium in the four wells</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Well</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Uranium Conc. (ppb)<sup>‡</sup></th><th align="center" valign="middle" >Comment</th><th align="center" valign="middle" >Date</th><th align="center" valign="middle" >Uranium Conc. (ppb)</th></tr></thead><tr><td align="center" valign="middle" >Well-6090DFR</td><td align="center" valign="middle" >3 March, 2016<sup>†</sup></td><td align="center" valign="middle" >542</td><td align="center" valign="middle" >Sampled by U. Saha</td><td align="center" valign="middle" >14 June, 2011<sup>&#167;</sup></td><td align="center" valign="middle" >629</td></tr><tr><td align="center" valign="middle" >Well-711JP</td><td align="center" valign="middle" >20 June, 2016<sup>†</sup></td><td align="center" valign="middle" >22.6</td><td align="center" valign="middle" >Sampled by D. Lynch</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Well-715JP</td><td align="center" valign="middle" >16 June, 2016<sup>†</sup></td><td align="center" valign="middle" >407</td><td align="center" valign="middle" >Sampled by U. Saha</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Well-578TR</td><td align="center" valign="middle" >16 June, 2016<sup>†</sup></td><td align="center" valign="middle" >4939</td><td align="center" valign="middle" >Sampled by U. Saha</td><td align="center" valign="middle" >15-June, 2011<sup>&#167;</sup></td><td align="center" valign="middle" >1549</td></tr></tbody></table></table-wrap><p><sup>†</sup>Sampled and analyzed as part of this study. <sup>‡</sup>EPA’s MCL for drinking water is 30 ppb. <sup>&#167;</sup>Voluntary submission by the well owner.</p><p>4000 pCi/L. Furthermore, the radon concentrations followed the same trend as the uranium concentrations in the wells. Nevertheless, it is important to note here that despite there was no concern about the uranium concentration (22.6 ppb) in the Well-711JP, it contained well over 20,000 pCi/L radon. Therefore, using uranium concentration over 30 ppb as a trigger for recommending test for radon in well water remains questionable. We also noticed temporal variation in the uranium concentration in the well-6090DFR and well-578TR. Such variation was substantially wide in the case of well-578TR (1549 ppb obtained from voluntary sample submitted by the well owner in June, 2011 versus 4939 ppb obtained when sampled as part of this study in June, 2016).</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>・ Direct-fill method is susceptible to significant loss of radon gas; so the submerged bottle method should be used.</p><p>・ The assay-2 (130 - 700 keV) based on the region of interest for radon is better than the assay-2 based on a full spectrum (0 - 2000 keV) analysis.</p><p>・ An air bubble in a sample results in significant loss of radon gas, and the loss is higher with larger air bubble size.</p><p>・ Mineral oil generally gives higher radon count rates than Opti-fluor. But the results of the two proficiency or standard samples showed that mineral oil clearly overestimated the actual radon concentration whereas Opti-fluor always gave the results close to the predicted or assigned value. As a scintillator for radon in water, it is widely believed that mineral oil is a better scintillator for radon than Opti-fuor. But our results show that the opposite is indeed true.</p><p>・ A 10 mL scintillator + 10 sample combination is better than 8 mL scintillator + 8 mL sample combination for a liquid scintillation cocktail.</p><p>・ Separate drawing of scintillator and sample may result in significant loss of radon, so simultaneous drawing should be adopted when laboratories use open pipettes. However, this effect may be insignificant if a closed-top (no headspace) sampling syringe is used.</p><p>・ Mixing scintillator and sample in the laboratory is better than making the cocktail on-site for better results and practicality of testing radon in private well waters.</p><p>・ There was noticeable temporal variation in both radon and uranium concentrations in the study wells.</p><p>・ Use of uranium concentration over 30 ppb (the MCL of uranium in drinking water) as a trigger for recommending test for radon in well water remains questionable because there may be safe level of uranium but unsafe level of radon, and vice versa in a given well water.</p></sec><sec id="s5"><title>Acknowledgements</title><p>This study was partially funded by The University of Georgia Radon Education Program which is supported by Georgia Department of Community Affairs through funding from State Indoor Radon Grants (SIRG) program of The United States Environmental Protection Agency, Region-4. It is an outcome of collaboration between The University of Georgia and The Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, New York State Department of Health.</p></sec><sec id="s6"><title>Cite this paper</title><p>Saha, U.K., Kitto, M.E., Lynch, D.R., Bangar, A., Turner, P.R., Dean, G. and Sonon, L.S. (2018) Optimizing Sampling, Sample Processing and Ana- lysis Methods for Radon (<sup>222</sup>Rn) in Water by Liquid Scintillation Counting. American Journal of Analytical Chemistry, 9, 27-45. https://doi.org/10.4236/ajac.2018.91003</p></sec></body><back><ref-list><title>References</title><ref id="scirp.81730-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Cline, W., Adamovitz, S., Blackman, C. and Kahn, B. (1983) Radium and Uranium Concentrations in Georgia Community Water Systems. 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