Simpler Less Expensive Method for Analysis of inorganic As (iAs) in rice Rufus L. Chaney1, Carrie E. Green1, Steven J. Lehotay2 and Michael Bukowski3 USDA-Agricultural Research Service Crop Systems and Global Change Laboratory, Beltsville, MD. 2 Eastern Regional Research Center, Wyndmoor, PA. 3 Grand Forks Human Nutrition Laboratory, Grand Forks, ND. 1 Project Goal: Develop a reliable, simple, more rapid and less expensive method for the analysis of inorganic As (iAs) in rice grain. We undertook three major sub-projects to meet these goals: 1. Develop and validate a simple reliable lower cost method to measure iAs in rice than the US-FDA method using HPLC-ICP-MS for full As speciation. 2. Subject the developed method to an Inter-Laboratory Evaluation to determine if it was as reliable as observed in our lab, and could be conducted easily by other scientists. 3: Attempt to develop a more rapid extraction method to reduce the time needed to extract iAs from powdered rice and analyze the iAs in those extracts. SUMMARY: New limits on iAs in rice products require that samples be analyzed for iAs to assure compliance. Initially reported methods (high pressure liquid chromatography-Inductively coupled Plasma-Mass Spectrometry, HPLC-ICP-MS) used measurement of all species of As present in rice and other foods, which requires very expensive staff and equipment, and a high cost per sample for rice iAs analysis. Industry needs a reliable less expensive method to measure the needed iAs, not full As speciation, in order to comply with market limits. We developed and then conducted an Inter-Laboratory Evaluation of a simple Hydride Generation (HG) method to measure iAs directly rather than as part of As speciation. Arsenate and arsenite (iAs) in the solution from the US-FDA method to extract iAs from powdered rice [90 min. at 95°C in 0.28 M HNO3] was pre-reduced to arsenite in a stronger HCl solution before HG analysis so that the HG method was capable of minimizing measurement of dimethylarsinic acid (DMA) present in rice extracts. The HG method can use much less expensive analytical instruments, and be conducted by normal laboratory staff much more rapidly than the US-FDA full As speciation method. To conduct the Inter-Laboratory Evaluation , samples of brown and milled rice with low, 1 medium and high levels of iAs were identified and prepared. Following the comparison protocol blind duplicate samples of these samples were sent to the cooperating laboratories and most labs conducted triplicate extraction and analysis of the test samples and the NIST standard rice. Four labs conducted the HPLC-ICP-MS analysis for comparison with the HG method (two labs did both methods). Most laboratories obtained correct iAs results for all unknown rice samples using the HG method. Attempts to use simple shaking of rice powder with several extraction solutions were partially successful in that neutral pH H2O2 solutions could release the rice iAs, but filtering the extracts took much longer (~3 hr) and defeated any benefit compared to HotBlock extractions. Additional testing of the time required for the HotBlock extraction of iAs showed that full extraction with small variance could be achieved in 15-30 min. rather than the 90 min. in the US-FDA method. Although methods for analysis of truckload samples before delivery appear unnecessary because nearly all US rice complies with CODEX iAs limits, it may be possible to dehull, mill, grind, extract and analyze iAs in such samples using the shorter HotBlock extraction and the HG iAs analysis method with suitable inexpensive analytical equipment if trucks continue to wait long periods before delivering their loads. BACKGROUND: This project focused on inorganic As (iAs) rather than total As (TAs) because it is only the iAs that has been shown to contribute to the adverse health effects of dietary As (US-FDA, 2016a). Because iAs exposure is an important problem around the globe, research on iAs presence and bioavailability continue outside of the interest about iAs in rice and rice products. Rice iAs Measurement Methods: Many methods have been used to extract and measure As concentrations and species in rice. A review by Welna et al. (2015) summarizes many attempts to evaluate total As and As species in rice and other foods. With the increasing recognition that iAs was the important As species that would be regulated, researchers looked for methods to reliably extract and then analyze iAs. Different scientists tested iAs extraction using enzymatic methods, method using trifluoroacetic acid, dilute HNO3, methanol, and other reagents. Over time the use of the present US-FDA method with 0.28 M HNO3 (Kubachka et al., 2012) has been widely adopted. This method is similar to the extraction approach used in an European Union collaborative study of methods to measure iAs in rice, a method needed before the iAs level could be regulated (de la 2 Calle et al., 2011). Thus, the official US-FDA method to analyze iAs in rice uses a HotBlock [a heating block with computer control and uniform temperature which can process many samples (47) at one time] extraction of As species from rice powder using 0.28 M HNO3 (1 g rice with 10 mL of HNO3), followed by centrifugation, membrane filtration and pH adjustment to support use of high performance liquid chromatographic separation (HPLC) of the extracted As species. Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) [a high end mass spectrometry system is normally used for this analysis, a triple-quadrupole ICP-MS (ICP-QQQ) using oxygen as reaction gas in a collision cell and detection of AsO at m/z 91] serves as the detector for separated As species (Kubachka et al., 2012). Because analysis of arsenite can be confounded by DMA-As, others have included 1% hydrogen peroxide (H2O2) to oxidize all iAs to arsenate which is more readily separated from DMA in the HPLC-ICP-MS method (e.g., Pétursdóttir et al., 2014; Raber et al., 2012). ICP-MS or ICP-MS-MS instruments to do these analyses cost $150,000 to $300,000, and maintenance and operation requires a highly trained analyst. However, this complicated system is not needed if only iAs is the desired measurement. The HotBlock digestion method used by US-FDA is widely accepted for extraction of As species from powdered rice, and with a $6,000 HotBlock device, one can extract 47 samples in a half day of work (one position in the Block is used for the temperature control system). To measure total As in rice, use of a microwave digestion device which can operate up to 270°C is often needed which costs $30,000-70,000 and processes 15-40 samples at a time. Cleaning equipment for the microwave digestion apparatus between samples is also time consuming. It is now evident that the analytical result needed to comply with any limits for iAs in rice (US-FDA, 2016) is simply the amount of iAs in samples of finely ground rice, not the full As speciation. Many methods (Welna et al., 2015) have been reported in the literature, but application for analysis of the typical levels of iAs in rice limit their use. Thus, we conducted research to develop a simple Hydride Generation (HG) method to measure the iAs in the extract from the HotBlock digestion using 0.28 M HNO3. Our earlier testing of sample preparation methods for TAs analysis by HG had revealed that the microwave digestion used to release all of the As (TAs) from powdered rice had to achieve about 270°C for at least one hour to hydrolyze the dimethylarsinic acid (DMA) which is the main organic form of As in rice. Digestion at 225° (maximum we could attain with an older microwave digestion instrument) did not hydrolyze DMA, so HG analysis of those lower temperature digestions gave results essentially equal to the iAs in NIST rice Standard Reference Material (SRM) (not the total As). Separately from the present work we had tested dry ashing to measure the As in powdered rice 3 but found that ashing at 480°C removed the DMA component in total As, so we had to use a Mg ashing aid of an old AOAC method for analysis of total As in feedstuffs (AOAC, 1965). Thus it appeared that short of high temperature microwave digestion, one could release the iAs and analyze the iAs using a simple hydride generation (HG) approach rather than the usual FDA HPLC-ICP-MS method. [An alternative As speciation method has been reported by Jackson (2015) which uses different resins to separate the As species in HPLC-ICP-MS analysis of rice As so that the run time is 2-5 min. rather than the 20 min. of the original US-FDA method (Kubachka et al., 2012).] But the high end instrument and staff needed for the analysis does not reduce the high cost of that approach to obtain the iAs concentration. HG can be used with many different measurement technologies, not just ICP-MS, and the staff needed to conduct those analyses with other instruments do not require such a high staff training level to achieve reliable results. The arsine gas generated by the HG treatment of a HotBlock digestion solution can be measured by ICP-atomic emission spectrometry (ICPAES), by ICP-MS, by Atomic Absorption Spectrometry (AAS) or Atomic Fluorescence Spectrometry (AFS), allowing labs to use lower cost equipment and staff to conduct rice iAs analyses. With support from The Rice Foundation, we undertook to further develop the simple HotBlock-HG-ICP-AES method to measure iAs in rice [see Standard Operating Procedures for Extraction of iAs from powdered rice (Appendix 1), and HG-ICP-AES analysis of iAs in rice digests (Appendix 2)]. Based on research by Feldmann’s group (Musil et al., 2014; Pétursdóttir et al., 2014), it appeared that using higher concentration of HCl in the sample subjected to HG could strongly reduce the potential for DMA in an extract of rice to be converted to arsine and be measured by the atomic spectrometric methods. They had not pre-reduced sample arsenate (present because H2O2 was included in their extraction fluid) before using the HG method, while we had followed methods which pre-reduced arsenate before HG was conducted (the US-FDA extraction does not include H2O2). We did extensive checking of the effect of HCl concentration on measurement of iAs vs. DMA-As in extracted rice solutions from the HotBlock. Spiking the rice extracts with varied levels of DMA and iAs, and testing varied HCl concentrations, with both milled and brown rice with varied levels of iAs, we confirmed the finding of Pétursdóttir et al. (2014) but using “pre-reduced” solutions in the current method (Figure 1). The “carry-over” of As from DMA (or error from DMA) was reduced to about 4% of the DMA-As present in a sample, so the possible error from using HG to make the measurement was smaller than the usual variability of analysis of rice samples using HPLC-ICP-MS. If the iAs approaches the 4 Figure 1. Effect of HCl concentration in the pre-reduction solution on measurement of DMA-As in addition to the iAs present. We selected 4 M HCl for the method to protect the equipment from acid vapors. Different color lines show results from different rice samples and DMA spike levels. CODEX limit of 200 ìg iAs kg-1 fresh weight of rice, one could analyze the total As, subtract the measured iAs, and then subtract 4% of the remaining As which came from DMA to correct the iAs result. The method using HotBlock digestion, filtration, and HG analysis using ICP-AES was studied further to simplify it as much as practicable and minimize costs without increasing variance in analysis. For HG analysis, it is not critical use centrifugation and millipore filtration of each sample (needed to protect HPLC and ICP-MS equipment); simple filtration with filter paper and funnel yields sample solution ready for HG analysis. At this point, the method was ready for an Inter-Laboratory Evaluation. Dr. Steven Lehotay, USDA-ARS-Eastern Regional Research Center, an analytical chemist who has previously conducted Inter-Laboratory Evaluations of various analytical methods, agreed to officially steer the Inter-Laboratory Evaluation study. He designed the set of test samples to be supplied to cooperating labs based on the standard AOAC International method evaluation template for collaborative studies across labs. We purchased and otherwise obtained rice bulk 5 samples and analyzed them for TAs and iAs to obtain a range of TAs and iAs in both milled and brown rice. Dr. Lehotay selected specific large samples containing low, medium, and high levels of iAs for use in the study (Tables 1A, 1B). We then contacted more than 20 laboratories internationally which have conducted As analysis for environment and food samples, especially rice, and invited their participation in the Evaluation. We sent known liquid standards, NIST Standard Reference Material (SRM 1568B) rice flour sample, and 12 unknown powdered rice samples (randomized blind duplicate samples of 3 brown and 3 milled rice samples with low, medium and high iAs levels) to each of the labs (Table 2) which volunteered to participate. Several other labs asked to participate after hearing about the Evaluation being conducted; 14 returned the results of their analyses, two of which used only the FDA method, one used both the FDA and HG methods, and one analyzed different portions of the test samples twice by the HG method using different detection systems. A preliminary statistical evaluation of the InterLaboratory Method Evaluation is reported below; preliminary results without removal of possible outliers show acceptable results based on the Horwitz Ratio (Horwitz and Albert, 2006). Table 1A. Samples provided to Laboratories 1 2 3 4 5 6 7 8 9 10 11 12 sample 600 - double golden row 40 brown CLXL 745 flood white row 40 brown row 40 white sample 400 - Tsuru Mai CLXL 745 flood brown row 40 white CLXL 745 flood white sample 600 - double golden sample 400 - Tsuru Mai CLXL 745 flood brown Table 1B. Structure of Blind Duplication of Samples. 1+10 2+4 3+9 5+8 6+11 7+12 sample 600 - double golden row 40 brown CLXL 745 flood white row 40 white sample 400 - Tsuru Mai CLXL 745 flood brown Interestingly, several of the labs using ICP-MS to measure the arsine As from the HG method had difficulty in measuring As using HG of arsine. We asked Dr. J. Feldmann’s team 6 Table 2. List of laboratories which volunteered to participate in the Inter-Laboratory evaluation of the simple HG method to measure iAs in powdered rice. Dr. Tomohito Arao HG-ICP-AES Principle Research Coordinator National Institute for Agro-Environmental Sciences Tskuba, Ibaraki 305-8604 Japan Dr. Michael Bukowski USDA-ARS-GFHNRL PA-3062 2420 2nd Avenue North Grand Forks, ND 58203 HG-ICP-MS and HG-AAS Dr. Rufus L. Chaney USDA-ARS-NEA-BARC-CSGCL Bldg. 007, Room 013 Beltsville, MD 20705 HG-ICP-AES Dr. Sean Conklin Chemical Contaminants Branch US-FDA/CFSAN/ORS/DBC Food and Drug Administration 5100 Paint Branch Parkway, HFS 706 College Park, MD 20740 HPLC-ICP-MS only Dr. Jörg Feldmann HG-ICP-MS and HPLC-ICP-MS Chair in Environmental Analytical Chemistry TESLA- Trace Element Speciation Laboratory University of Aberdeen Meston Building Rm G26 Aberdeen AB24 3UE Scotland UK Dr. Kent Lanclos HPLC-ICP-MS only Technology and Science Division USDA-Grain Inspection, Packers, and Stockyards Administration National Grain Center 10383 N. Ambassador Drive Kansas City, MO 64153 7 Dr. Won-Il Kim and Dr. Anitha Deepak HG-ICP-MS Head, Department of Agro-Food Safety Rural Development Administration (RDA) National Academy of Agricultural Science (NAAS) Korea Dr. Andrew A. Meharg Institute for Global Food Security Queen’s University Belfast David Keir Building Malone Road Northern Ireland UK BT9 5BN HPLC-ICP-MS only Dr. Philip Moore USDA-ARS; Plant Sciences 115 University of Arkansas Fayetteville, AR 72701 HG-ICP-AES Dr. Trenton L. Roberts HG-ICP-AES Dept. Crop, Soil, and Environmental Sciences 1366 W. Altheimer Drive Fayetteville, AR 72704 Dr. Angelia L. Seyfferth HG-ICP-MS Dept. of Plant and Soil Sciences 531 South College Avenue; Townsend Hall 152 Dept. of Plant and Soil Sciences; University of Delaware Newark, DE 19716 Cheryl D. Stephenson Laboratory Director Eurofins Central Analytical Laboratories 2219 Lakeshore Drive, Suite 500 New Orleans, LA 70122 HG-ICP-MS Dr. M.H. Wong [[email protected]] HG-ICP-AES Department of Science and Environmental Studies, Hong Kong Institute of Education, Tai Po, Hong Kong, PR China Dr. F.-J. Zhao HG-ICP-AES College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing 210095, China Dr. Y.-G. Zhu HG-ICP-MS Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing, 100085, China 8 how they were able to successfully link the HG gas stream into ICP-MS and we shared their information with several participants who had difficulty with the connection. All but one of these other labs were able to obtain accurate results. That problem delayed several labs from completing the test. One lab had great difficulty in hooking HG into their ICP-AES and did not obtain valid results, while other labs which used Perkin-Elmer or Agilent ICP-MS instruments were able to do well with these samples using HG. As part of the development of the simple method to measure iAs in powdered rice, we prepared an estimate of the cost of materials and staff to conduct the analyses (Table 3). We did not include instrument or lab space costs because those vary among locations, but the supplies and labor costs are fundamental to any labs cost for analysis of rice samples. The present method uses less expensive equipment and staff to attain the needed iAs result, providing great savings to the rice industry. Table 3. Estimated Cost of Rice iAs Analysis. Task Cost -Labor & Supplies Milling brown rice sample ? Grinding milled rice sample 200 samples/8 hr $1.41/sample Hot Block extraction of iAs 113 unique rice samples/8 hr $2.75/sample HG-ICP-AES analysis of iAs 59 unique rice samples/8 hr $2.85/sample Management; Report Preparation ? 59 unique rice samples/8 hr day/HG-ICP-AES method Equipment, ICP-AES, laboratory space and management costs not included in estimates. BS-level trained staff can conduct all of the operations involved. MS/Ph.D. to supervise, maintain, ICP-AES, evaluate QA, and prepare reports. Tables 4A and 4B list the iAs results using the HG method for 10 labs in 5 countries. Two labs were very late to report their results and demonstrated problems in the analyses, including apparent mismatching of samples. Thus their results were not included in the assessment with clear justification. Table 4B shows the Horwitz Ratio evaluation of these analyses. In comparison, the results for the same samples are presented from the FDA HPLCICP-MS method performed by four labs are reported in Tables 5A and 5B. The determined 9 concentrations were within 13% of each other in all cases, and all Horwitz Ratios were also <0.67. Inter-laboratory trials with >8 participating labs and Horwitz Ratio <2 are generally acceptable as an AOAC International Official Method after statistical expert panel review. A Horwitz Ratio of 1 is the average among previous Official methods, and a value <1.0 indicates better than average, which is the case in this study even before outliers are removed. The formality of attaining AOAC Official Method status will not be pursued due to prohibitive cost and time for AOAC International approval, but the scientific statistical assessment shows that the method meets the common method acceptance criteria. A manuscript will be prepared for a peer-reviewed journal to report the Inter-Laboratory trial. Four labs provided the FDA method results (HPLC-ICP-MS) for iAs analysis of the rice test samples. Table 5A shows the results from each of the labs for each sample. Table 5B shows the means of the blind duplicate samples from each lab, and the Horwitz Ratio calculation for the HPLC-ICP-MS method. Figure 2 shows a direct comparison of the mean results for each sample for both methods. The Figure shows that the HG-ICP-AES method results were not significantly different from the HPLC-ICP-MS method results, illustrating that the methods yield equivalent results. Table 6 reports the statistical comparison of the HG-ICP-AES and HPLC-ICP-MS methods. 10 Table 4A. Analyses of samples from cooperating laboratories. Samples arranged in pairs of blind duplicates for easier comparison of within lab variation. Sample N Mean S.D. RSD Horwitz Ratio 1 2 3 Cooperating Laboratory Number 4 5 6 7 8 9 10 1 10 10 10 77 76 5 9 7% 12% 0.29 0.52 72 90 76 76 84 90 82 70 70 64 73 69 87 76 74 62 79 81 76 81 2 4 10 10 133 135 16 15 12% 11% 0.55 0.53 107 109 139 136 145 152 140 141 121 120 132 128 148 150 106 113 146 148 150 149 3 9 10 10 181 182 24 20 13% 11% 0.65 0.55 156 195 184 187 222 202 215 212 151 151 174 166 197 190 149 146 180 190 185 179 5 8 10 10 93 93 11 10 12% 11% 0.52 0.48 76 85 93 93 104 97 100 99 80 82 92 85 107 100 77 74 100 105 101 106 6 11 10 10 125 125 16 15 13% 12% 0.59 0.54 119 123 128 127 138 142 135 137 105 109 113 116 143 136 93 92 141 136 133 131 7 12 10 10 254 255 29 38 11% 15% 0.58 0.76 235 233 265 265 291 310 291 298 220 225 225 247 260 271 207 168 279 268 263 265 NIST 10 108 12 12% 0.52 109 112 111 131 89 98 111 96 97 124 Table 4B. Means for the blind duplicate samples analyzed by 10 cooperating labs which used the Hydride Generation (HG) method compared with mean for all labs for HG method. Samples N Mean SD 1+10 2+4 3+9 5+8 6+11 7+12 10 10 10 10 10 10 ------------------------------------------------------------------ng g -1 -------------------------------------------------77 6 81 76 87 76 67 71 81 68 80 79 134 15 108 137 149 140 120 130 149 110 147 149 182 21 175 186 212 214 151 170 194 148 185 182 93 10 80 93 101 99 81 88 103 76 103 104 125 15 121 127 140 136 107 115 140 92 139 132 254 33 234 265 301 295 223 236 265 188 274 264 0.33 0.53 0.56 0.48 0.56 0.66 NIST 10 108 0.52 12 1 109 2 112 3 111 11 4 131 5 89 6 98 7 111 8 96 9 97 10 124 Horwitz Ratio Table 5A. Results of analysis of blind duplicate samples of 4 cooperating labs which used the HPLC-ICP-MS (FDA) method. Sample N Mean SD RSD Horwitz Ratio ng iAs g-1 1 Cooperating Lab 2 3 4 -------- ng iAs g-1 -------- 1 10 4 4 85 82 9 8 11% 10% 0.48 0.42 96 86 81 76 92 93 72 73 2 4 4 4 154 148 14 14 9% 9% 0.43 0.45 169 155 152 153 162 161 132 124 3 9 4 4 203 196 27 23 13% 12% 0.65 0.59 236 211 181 193 222 220 172 159 5 8 4 4 106 107 10 10 9% 10% 0.42 0.43 119 118 97 102 113 116 96 93 6 11 4 4 140 134 13 15 9% 11% 0.43 0.51 148 147 137 131 154 148 120 111 7 12 4 4 282 282 28 25 10% 9% 0.51 0.46 296 278 301 269 314 309 239 248 22% NIST 4 108 15 0.62109 99 133 14% Table 5B. Within lab means for duplicate samples analyzed by HPLC-ICP-MS method Samples 1 2 3 4 Horwitz Ratio 1+10 2+4 3+9 5+8 6+1 7+12 75 162 224 119 147 299 69 153 187 100 134 274 81 161 221 114 151 311 64 128 165 94 116 243 0.38 0.43 0.60 0.42 0.47 0.48 12 93 Figure 2. Comparison of inorganic As (iAs) concentration (ng g-1) in 6 rice test samples measured by the HG-ICP-AES method compared with results from the the HPLC-ICP-MS method (FDA method). Table 6. Statistical comparison of the HG and FDA methods to measure iAs in rice. FDA Method HG Method Duplicate Samples N Mean SD 1+10 2+4 3+9 5+8 6+11 7+12 6 6 6 6 6 6 68.6 152.7 187.2 99.8 134.3 273.7 4.6 2.2 7.2 5.1 6.7 8.2 6.8% 1.4% 3.8% 5.1% 5.0% 3.0% 1+10 2+4 3+9 5+8 6+11 7+12 6 6 6 6 6 6 79.9 147.0 184.8 102.7 138.5 273.5 2.7 4.0 5.1 3.1 3.2 7.6 3.4% 2.7% 2.8% 3.0% 2.3% 2.8% 11.3 -5.7 -2.3 2.8 4.2 -0.2 NIST 3 99.2 1.9 1.9% NIST 3 97.4 3.8 4.0% -1.7 RSD Duplicate Samples N 13 Avg SD RSD Diff (ng/g) Testing possible approaches for rapid extraction of iAs and Cd from powdered rice: A second goal of this project was to find a simpler method to rapidly extract iAs from ground rice and measure the iAs released. The possible need for Cd analysis of rice samples became evident as it was learned that the most important agronomic practice to reduce iAs in rice would be to use Alternative Wetting and Drying (AWD) so that rice soils were more aerobic such that less arsenite was produced during growth, thereby lowering the amount of As absorbed and translocated into rice grain. But while making the soil more aerobic reduced grain iAs, it automatically caused increased grain Cd (Arao et al., 2012; Chaney, 2015; 2016; Linquist et al., 2014; LaHue et al., 2016; Moreno-Jiménez et al, 2014). Rapid extraction of iAs in rice grain needed to take into account that much of rice iAs is arsenite chemically linked to sulfhydryl groups in the rice proteins (Lombi et al., 2009; Carey et al., 2012; Meharg et al., 2008). This chemical speciation of As in rice materials is important in discovery of methods to release and measure the iAs important to regulation of rice and rice products. Initially we considered that such a rapid extraction-analysis method could be used to evaluate rice in truckloads arriving at rice mills so that the loads of rice could be segregated based on their iAs concentration. However, a visit at the facilities of a major rice mill and their labs where grower-delivered rice samples were evaluated, at the Grain Inspection and Stockyards Administration (GIPSA) lab facility in Stuttgart, AR, and at the ARS labs and scientists at Stuttgart, AR, made it clear that this goal may not be needed or practical for the rice industry. Presently rice mills sample each truckload delivering their crop at the mill, and combine the truckload samples from particular fields or cultivars from one grower into a single “lot” of rice for evaluation of the moisture, milling properties and ultimately the cash value of the delivered rice. Over time the composited samples from one grower/field were processed to determine the moisture content, milling efficiency and breakage during milling to set the $ value of the loads from that grower. The threshing/cleaning/husking, milling, and analysis occurred days after the load was delivered. The drying, threshing, milling and other steps needed to evaluate the regulatory compliance of a rice load would be very difficult to conduct in a short period while the truck was in line to deliver a load of rice at a mill. [If an unhulled rice sample were heat dried to dryness, kernel breakage may be strongly increased during test milling.] It would be more possible to analyze brown (hulled) rice from a load than milled rice because of the time needed to achieve valid milling of bulk rice samples from growers. But the ratio of iAs to TAs in brown rice differs from that of the milled rice which would be generated from that lot of brown rice. Analytical results for brown rice cannot be used to regulate or make marketing 14 decisions about milled rice (the only form with regulatory limits) (US-FDA, 2016). The reason that milled rice must be the subject of analysis is that the ratio of DMA-As to iAs varies among samples due to variation in irrigation practice, soil As and water percolation variation, and rice genetics which affect As uptake and speciation. Rice bran is much higher and more variable in TAs and iAs than is the milled rice. Development of a simpler method to extract the iAs from powdered rice offers value to the industry if a reliable, simple and less expensive method could be demonstated. We looked at this extraction in relation to long experience with agronomic soil analysis procedures. Common soil analysis methods use a simple shaking of weighed soil with known volume of reagent for a set period, filtration, and analysis. Whether it is P, K, Ca, Zn, Fe or other nutrients, or pH, a simple extraction followed by a simple analysis gives the needed analyses at low cost and lower salaried staff. We looked at reviews of methods to extract and analyze As in rice (e.g., Welna et al., 2015) which considered many different extraction methods, different reagents, heating or not, etc., to release the species of As in rice for subsequent full As speciation analysis usually by HPLC-ICP-MS. This detailed investigation was needed in earlier research in study of rice As issues, but now that it is clear that only iAs measurements are needed for rice markets, simpler methods to measure only iAs in rice are clearly what is needed. The separate evidence showed that much of the As in rice is arsenite chemically bound to sulfhydryls of rice protein (Lombi et al., 2009). Shen et al. (2013) clarified the normal binding of iAs to proteins in many natural systems which concluded that when arsenite was bound to proteins it was predominantly bonded with sulfhydryl groups in the protein. Based on this knowledge, we hypothesized that shaking powdered rice in solutions of different sulfhydryl reagents would release the iAs and allow rapid and easy extraction for HGICP-AES analysis of iAs. To test this hypothesis, we extracted rice standard samples with solutions containing 5 and 10 mM concentrations of cysteine, glutathione and dithiothreitol, at several pH levels. Analysis of the extracts showed that shaking with sulfhydryl reagents did not release the iAs for analysis. We checked to assure that the presence of the reagents in the test solutions did not confound the HG analysis and verified that if these solutions had extracted the iAs, it would have been measured by the HG-ICP-AES method. We concluded that sulfhydryl reagents could not release iAs from powdered rice. Although Shen et al. (2013) discussed use of sulfhydryl reagents (e.g., dithiothreitol) to release As from proteins, they also reported that previous research had showed variable release with these reagents. An alternative approach is extraction of the iAs from the protein 15 using H2O2 to oxidize the arsenite to arsenate which is no longer strongly bound to protein-SH groups and was released for extraction. They cited work by Naranmandura et al. (2006) which showed ready and rapid release of sulfhydryl-bound arsenite using H2O2 treatment. And work by Chen et al. (2011, 2013) used reaction with H2O2 overnight to release sulfhydryl-bound As species into solution so they could be analyzed by HPLC-ICP-MS. Thus we hypothesized that we should be able to release iAs from powdered rice using this H2O2 method, and then analyze the iAs by HG-ICP-AES. The optimum pH for this reaction was not established by previous literature. And because some H2O2 may remain in the extract, the pre-reduction of arsenate to arsenite before HG analysis needed to be verified. Testing the effectiveness of H2O2 at acidic and neutral pH showed that little was extracted at the acidic pH, but near quantitative release was achieved at pH 7. Additional testing was conducted at pH 6, 7, 8 and 9, and with both milled and brown rice powder to better understand the effectiveness of this procedure to rapidly release iAs from powdered rice. All of these pH levels were effective in releasing iAs using 1% H2O2. Using higher levels of H2O2 caused a major artifact by preventing the rapid reduction of arsenate to arsenite in the “pre-reduction” step in HG analysis, so the lower H2O2 level which was effective was studied in continuing evaluation of releasing iAs from powdered rice using a simple shaker method. For those not familiar with usual shaking extraction methods used in agronomy, we weigh some amount of soil or powdered rice into a 125 mL urinalysis cup with screw cap lid (very inexpensive so it can be disposed after one use rather than having to be acid washed between uses requiring significant time and staff costs). The desired volume of extractant is then added and the cup placed on a rotating shaker for 30-120 minutes, then filtered using simple filter paper methods rather than membrane filtration. Inexpensive 1 ounce (28 mL) polyethylene vials are used to collect the filtrate. Filtration would continue until the bottle was filled or the filer paper was drained. Because the suspension of powdered rice in the several extractants tested to date filtered very slowly, and incompletely, we found using at least 10-20 mL per 1 g of powdered rice was necessary. If more sample fluid is required to conduct analyses, one could use even higher amounts. Although this approach seemed promising initially, it became evident that filtration of the rice slurry after shaking is very slow in the iAs release testing, taking 1-3 hr for complete filtration (see Table 7). Long filtration would allow the variation in filtration time among samples to affect iAs concentration due to variable evaporation of water among samples. More importantly, an extraction which takes 2-4 hours (weigh; shake; filter) does not achieve the 16 rapid analysis sought for iAs in milled rice samples. Thus we abandoned the shaking approach because it offered no advantage compared to the HotBlock extraction method. So we examined that method to see if it could be done more rapidly yet remain accurate. More rapid extraction using the HotBlock: When it was evident that simple shaking with H2O2 would not be useful because of the slow filtration, we re-considered the time requirement for the HotBlock extraction method. We did not find reports of the relationship of heating time period on extraction of iAs using HotBlock methods, so we tested the effect of heating period on filtration time and iAs extraction efficiency. After HotBlock processing, rice samples filter relatively rapidly, and large numbers of samples can be handled using the HotBlock digestion equipment. Some testing early after purchase of the HotBlock indicated that rice iAs was released a lot faster than the 90 min. listed by US-FDA and other researchers who were using HPLC-IC-MS for total As speciation. Essentially complete extraction of iAs was achieved within 30 min. Thus we evaluated the effect of time of extraction in the HotBlock for several standard rice samples used in this lab. The results of these tests are listed in Table 7. Very short HotBlock treatment time caused slow and inefficient filtration, but 15-30 min. treatment yielded rapid filtration and correct iAs results. Based on these tests with 4 rice samples, brown and milled, flood and AWD produced, and the NIST rice 1568B standard, we conclude that all were effectively extracted by 30 min., shortening the needed extraction period and increasing the number of samples that could be processed in one day by one technician and one HotBlock. 17 Table 7. Effect of time at 90°C in the HotBlock on time for filtration and effectiveness of release of iAs for several lots of rice (mean ± Standard Deviation for 5 replicate samples). Rice Sample Heating Time Filtration Time iAs Std. Dev. Flood Brown 5 15 30 60 A90 15 30 90 B90 150 30 25 20 15 Unfiltered Unfiltered Unfiltered 15 60 229 234 233 249 270 258 265 244 5.5 20.3 13.6 8.6 7.0 5.7 24.6 15.9 7.3 Flood Milled 5 15 30 60 A90 15 30 90 B90 180 30 25 20 15 Unfiltered Unfiltered Unfiltered 15 56 142 153 148 149 167 170 175 146 13.1 2.3 5.8 4.5 5.2 6.4 6.5 3.5 13.6 Row 40 Brown 5 15 30 60 A90 15 30 90 B90 180 30 25 20 15 Unfiltered Unfiltered Unfiltered 15 3 20 23 22 25 26 30 31 27 1.0 2.2 2.2 2.0 2.6 5.8 1.2 1.5 1.2 Row 40 Milled 5 15 30 60 A90 15 30 90 B90 180 30 25 20 15 Unfiltered Unfiltered Unfiltered 15 8 21 21 22 22 25 25 25 21 0.9 1.6 0.8 1.6 0.6 1.0 1.9 1.3 1.4 15 30 15 30 30 25 Unfiltered Unfiltered 81.3 85.1 90.6 92.9 6.6 1.9 2.0 1.8 NIST 1568B Certified = 92±10 18 Possible Approach for iAs analysis of truckloads of rice arriving at rice mills: A method to analyze samples of truckloads before delivery at a rice mill may not be necessary with the present CODEX limit of 0.20 mg iAs/kg fresh weight of milled rice because most US rice meets the CODEX iAs limit. Some rice grown with continuous flood on As enriched soils does exceed the CODEX limit, but mixtures from many producers and fields are very unlikely to exceed the iAs limit based on US-FDA sampling and analysis of market samples of rice in the US. In addition, rice mills have worked to identify producers who use AWD or otherwise can supply rice which is well below the US-FDA guidance for iAs in infant rice cereals (0.10 mg iAs/kg fresh weight), and satisfy the regulatory limits for the small market for infant cereal by purchase of low iAs rice from these carefully managed sources. Thus a method to sample and analyze iAs in milled rice from arriving trucks may not be needed by the rice industry at this time. Although present truckload sampling and evaluation methods of the rice industry would not easily include extraction and analysis of iAs in truckloads of rice as they arrive at the mills, one can construct such a possible method, if it were needed, based on our experience. Trucks arrive at the mills and remain there for many hours before delivering their loads (based on image of rice mill with over two hundred large trucks awaiting delivery). The steps would include: 1. Representative sampling of truckloads (as presently conducted at time of delivery). 2. Mechanical husking a portion of the sample. 3. Rapidly microwave oven drying of a sample of husked (brown) rice. 4. Milling the sample of husked rice. 5. Grinding the milled rice to a fine powder using simple coffee grinder. 6. Extraction of iAs (30 min. HotBlock extraction with 0.28 M HNO3 method reported above). 7. Filtering the extracted sample (30 min). 8. Pre-reduction with 30 min. incubation. 9. Analysis of iAs using HG-ICP-AES or other appropriate method (2 min./sample). A rapid milling process would be difficult to achieve because moisture content affects milling yield. But broken kernels could be analyzed with unbroken milled kernels if necessary. We believe iAs analysis of truckloads of rough rice could be accomplished while trucks were on line to deliver their loads so that high iAs loads could be segregated from low iAs loads if this became necessary for the industry. 19 References Cited: AOAC (1965) Official methods of analysis of the association of official agricultural chemists. In: Method for Arsenic in Feeds, 10th ed., Section 33.003 (ed. Horwitz, W), pp. 632–633. Assoc. Offic. Agric. Chem., Washington, DC. Arao, T., A. Kawasaki, K. Baba, S. Mori and S. Matsumoto. 2009. Effect of water management on cadmium and arsenic accumulation and dimethylarsinic acid concentrations in Japanese rice. Environ. Sci. Technol. 43:9361-9367. Carey, A., E. Lombi, E. Donner, M.D. de Jonge, T. Punshon, B.P. Jackson, M.L. Guerinot, A.H. Price and A.A. Meharg. 2012. A review of recent developments in the speciation and location of arsenic and selenium in rice grain. Anal. Bioanal. Chem. 402:3275-3286. Chaney, R.L. 2015. How does contamination of rice soils with Cd and Zn cause high incidence of human Cd disease in subsistence rice farmers. Curr. Pollut. Rept. 1:16-22. Chaney, R.L., W.I. Kim, A. Kunhikrishnan, J.E. Yang and Y.S. Ok. 2016. Integrated management strategies for arsenic and cadmium in rice paddy environments. Geoderma 270:1-2. Chen, B., L.L. Arnold, S.M. Cohen, D.J. Thomas and X.C. Le. 2011. Mouse arsenic (+3 oxidation state) methyltransferase genotype affects metabolism and tissue dosimetry of arsenicals after arsenite administration in drinking water. Toxicol. Sci. 124:320-326. Chen, B., F. Cao, C. Yuan, X. Lu, S. Shen, J. Zhou and X.C. Le. 2013. Arsenic speciation in saliva of acute promyelocytic leukemia patients undergoing arsenic trioxide treatment. Anal. Bioanal. Chem. 405:1903-1911. CODEX, 2006. Report of the 29th Session of the Codex Alimentarius Commission ALINORM 06/29/41 Codex Alimentarius Commission, Rome ftp://ftp.fao.org/codex/meetings/CCCF/cccf5/cf05_INF.pdf CODEX, 2014. Report of the Eighth Session of the Codex Committee on Contaminants in Foods REP14/AC Codex Alimentarius Commission, Rome ftp://ftp.fao.org/codex/meetings/CAC/CAC37/REP14_CACe.pdf D'Amato, M., G. Forte and S. Caroli. 2004. Identification and quantification of major species of arsenic in rice. J. AOAC Int. 87:238-243. de la Calle, M.B., I. Baer, P. Robouch, F. Cordeiro, H. Emteborg, M.J. Baxter, N. Brereton, G. Raber, D. Velez, V. Devesa, R. Rubio, T. Llorente-Mirandes, A. Raab, J. Feldmann, J.J. Sloth, R.R. Rasmussen, M. D’Amatoand F. Cubadda. 2012. Is it possible to agree on a value for inorganic arsenic in food? The outcome of IMEP-112. Anal. Bioanal. Chem. 404:2475-2488. [Inter-Laboratory Evaluation] de la Calle, M.B., H. Emteborg, T.P.J. Linsinger, R. Montoro, J.J. Sloth, R. Rubio, M.J. Baxter, J. Feldmann, P. Vermaercke and G. Raber. 2011. Does the determination of inorganic arsenic in rice depend on the method? Trends Anal. Chem. 30:641-651. [Inter-Laboratory Evaluation] Dufailly, V., M. Nicolas, J. Richoz-Payot and E. Poitevin. 2011. Validation of a method for arsenic speciation in food by ion chromatography-inductively coupled plasma/mass spectrometry after ultrasonicassisted enzymatic extraction. J. AOAC Int. 94:947-958. [Inter-Laboratory Evaluation] Heitkemper, D.T., K.M. Kubachka, P.R. Halpin, M.N. Allen and N.V. Shockey. 2009. Survey of total arsenic and arsenic speciation in US-produced rice as a reference point for evaluating change and future trends. Food Addit. Contam. B2:112-120. 20 Horwitz, W. and R. Albert. 2006. The Horwitz ratio (HorRat): A useful index of method performance with respect to precision. J. AOAC Int. 89:1095-1109. Jackson, B.P. 2015. Fast ion chromatography-ICP-QQQ for arsenic speciation. J. Anal. At. Spectrom. 30:1405-1407. Kubachka, K.M., N.V. Shockey, T.A. Hanley, S.D. Conklin, and D.T. Heitkemper. 2012. Elemental Analysis Manual: Section 4.11: Arsenic speciation in rice and rice products using high performance liquid chromatography-inductively coupled plasma-mass spectrometric determination. Version 1.1 [InterLaboratory Evaluation] LaHue, G.T., R.L. Chaney, M.A. Adviento-Borbe and B.A. Linquist. 201X. Alternate wetting and drying in high yielding direct-seeded rice systems accomplishes multiple environmental and agronomic objectives. Agric. Ecosyst. Environ. In press. Linquist, B.A., M. Anders, M.A. Adviento-Borbe, R.L. Chaney, L.L. Nalley, E. da Rosa and C. van Kessel. 2014. Reducing greenhouse gas emissions, water use and grain arsenic levels in rice systems. Global Change Biol. 2014:12701. doi: 10.1111/gcb.12701 Lombi, E., K.G. Scheckel, J. Pallon, A.M. Carey, Y.G. Zhu and A.A. Meharg. 2009. Speciation and distribution of arsenic and localization of nutrients in rice grains. New Phytol. 184:193-201. Llorente-Mirandes, T; Calderon, J; Lopez-Sanchez, JF; Centrich, F; Rubio, R 2012. A fully validated method for the determination of arsenic species in rice and infant cereal products. Pure Appl. Chem. 84:225-238. [Inter-Laboratory Evaluation] Meharg, A.A., E. Lombi, P.N. Williams, K.G. Scheckel, J. Feldmann, A. Raab, Y. Zhu and R. Islam. 2008. Speciation and localization of arsenic in white and brown rice grains. Environ. Sci. Technol. 42:1051-1057. Moreno-Jiménez, E., A.A. Meharg, E. Smolders, R. Manzano, D. Becerra, J. Sánchez-Llerena, Á. Albarrán and A. López-Piñero. 2014. Sprinkler irrigation of rice fields reduces grain arsenic but enhances cadmium. Sci. Total Environ. 485-486:468-473. Musil, S, Á.H. Pétursdóttir, A. Raab, H. Gunnlaugsdóttir, E. Krupp and J. Feldmann. 2014. Speciation without chromatography using selective hydride generation: Inorganic arsenic in rice and samples of marine origin. Anal. Chem. 86:993-999. Naranmandura, H., N. Suzuki and K.T. Suzuki. 2006. Trivalent arsenicals are bound to proteins during reductive methylation. Chem. Res. Toxicol. 19:1010-1018. Pétursdóttir, Á.H., N. Friedrich, S. Musil, A. Raab, H. Gunnlaugsdóttir E.M. Krupp and J. Feldmann. 2014 Hydride generation ICP-MS as a simple method for determination of inorganic arsenic in rice for routine biomonitoring. Anal. Meth. 6:5392-5396. Raber, G., N. Stock, P. Hanel, M. Murko, J. Navratilova and K.A. Francesconi. 2012. An improved HPLC–ICPMS method for determining inorganic arsenic in food: Application to rice, wheat and tuna fish. Food Chem. 134:524-532. Shen, S., X.-F. Li, W.R. Cullen, M. Weinfeld and X.C. Le. 2013. Arsenic binding to proteins. Chem. Rev. 113:7769-7792. Ukena, T., E. Matsumoto, T. Nishimura, J.C.S. Harn, C.A. Lee, L. Rojanapantip, N. Mayteeyonpiriya, K. Suthilucksanavanish and Y. Yamada. 2014. Speciation and determination of inorganic arsenic in rice using liquid chromatography-inductively coupled plasma/mass spectrometry: Collaborative study. J. AOAC Int. 97:946-955. [Inter-Laboratory Evaluation] 21 US-FDA (US Food and Drug Administration). 2016a. Arsenic in Rice and Rice Products Risk Assessment Report. Available at http://www.fda.gov/Food/FoodScienceResearch/RiskSafetyAssessment/default.htm. US-FDA (US Food and Drug Administration). 2016b. Inorganic Arsenic in Rice Cereals for Infants: Action Level Guidance for Industry Draft Guidance. http://www.fda.gov/downloads/Food/GuidanceRegulation/GuidanceDocumentsRegulatoryInformation/UC M493152.pdf Welna, M., A. Szymczycha-Madeja and P. Pohl. 2015. Comparison of strategies for sample preparation prior to spectrometric measurements for determination and speciation of arsenic in rice. Trends Anal. Chem. 65:122-136. Wolnik, K.A., F.L. Fricke, S.G. Capar, M.W. Meyer, R.D. Satzger, E. Bonnin and C.M. Gaston. 1985. Elements in major raw agricultural crops in the United States. 3. Cadmium, lead and eleven other elements in carrots, field corn, onions, rice, spinach and tomatoes. J. Agr. Food Chem. 33:807-811. Appendix 1. Standard Operating for Extraction of As from Powdered Rice following US-FDA methodology. Appendix 2. Standard Operating Procedure for Hydride Generation analysis of iAs in extracts of rice. 22 HotBlock Standard Operating Procedure for Inorganic Arsenic in Rice Grain (Jan. 8, 2016) 1. Rice samples must be ground before extraction using the HotBlock (SCP Science DigiPrep MS). Refer to the standard operating procedure for use of UDY Cyclone Sample Mill (Catalog # 3010-030) for grinding rice (using 0.8 mm stainless steel screen). 2. If not already in a hood, transport the HotBlock into a hood. Set the HotBlock to preheat to 95°C before weighing samples. This way the HotBlock will be preheated and ready for use after samples are prepared. Ensure that there is about 20 mL of 0.28 M HNO3 in the temperature probe tube for accurate temperature reading. *NOTE: You must change out the 0.28 M HNO3 solution in the temperature probe tube every day. If you do not, over time the water will evaporate and you will have an increasing amount of HNO3 in the tube. If the tube looks discolored or cracked over time, replace it with a new one. In each run of the HotBlock, include 2 standard rice samples and 4 blanks; include 1 duplicate per 10 samples. 3. Rice samples are weighed into 50 mL DigiTUBES (SCP Science 010-500-263) (Note: Tubes were checked for metal contamination and do not need to be acid washed first). Number each tube and weigh 0.700 g of rice sample into the tube. Record the tube number, sample description and weight in record book. Cover the tube with a blue lid but do not screw lid on tightly yet. The HotBlock can digest 47 samples in one run; you may use blue trays to hold tubes for easy transporting. 4. Once you have weighed out all samples, add 10 mL of 0.28 M HNO3 to each sample tube using a repipettor and screw the blue lid on tightly. Vortex all samples to mix well; assure rice powder is suspended by checking bottom of tube. 5. Check that the HotBlock has preheated to 95°C. Load the samples into the HotBlock and start a method with parameters to heat to 95°C and to hold for 90 minutes (standard FDA extraction method). 6. While the rice is digesting, set up for filtration. Number new 50 mL DigiTUBES and place under filtration racks. Use polyethylene funnels and Whatman #40 filter paper. Filter paper should be wetted with 0.28 M HNO3 before filtration and the rinse discarded to the proper hazardous waste container. 7. Once HotBlock is finished the program, immediately transfer tubes into blue racks to cool. Once cool to the touch, pour each sample from tube into filter paper; then rinse (limit volume used) the tube again into the filter with 0.28 M HNO3. After this has drained, rinse the filter paper (limit volume used) well starting at the top with 0.28 M HNO3. Bring to 20 mL volume with 0.28 M HNO3 and cap with a new lid. Invert capped tube to mix sample. Dispose of original digestion tubes and lids. 8. Refer to the standard operating procedure for hydride generation for arsenic analysis for instruction on how to run the samples on the ICP for inorganic arsenic. Ensure that you follow the instructions for adding antifoam to the SB solution and that you use 4 M HCl KI/AA. Note that this is different from running total arsenic samples. Hydride Generation for Inorganic Arsenic Analysis Standard Operating Procedure Jan. 8, 2016 NOTE: This SOP is used for rice samples that were extracted for iAs using the Hotblock Procedure. Basis for Analysis: An acidified sample/blank/standard goes through a pre-reduction step utilizing a potassium iodide/ascorbic acid mixture as the reducing agent for As (assuring the analyte is in the lower oxidation state - As5+ to As3+). This prereduced sample is then mixed with a pumped stream of reductant (sodium borohydride stabilized with sodium hydroxide), to produce the gaseous hydride (equation below). At the point of reaction, hydrogen gas is produced as a by-product, resulting in a two phase mixture. A flow of argon is added to this mixture and the hydrides are “stripped” into the gas phase. A gas/liquid separator allows the gaseous, hydride containing phase to enter the ICP for analysis, and allows the remaining liquid to be pumped to waste. The ICP spectrometer’s mass-flow controlled “nebulizer argon” is used as the source of the hydride stripping argon. An example of hydride generation reaction is: NaBH4 + 3H2O + HCl → H3BO3 + NaCl + 8H + E → EHn + H2 (Where E is the analyte element) Reagents: 0.5% Sodium Borohydride in 0.05% Sodium Hydroxide (SB) – prepared daily Weigh 0.5 g sodium hydroxide into 1 L volumetric flask. Add about 100 mL DI water to dissolve. Weigh 5.0 g sodium borohydride and add to the volumetric flask. Bring to volume with DI water and mix to dissolve with stir bar. The ICP uses approximately 100 mL of solution/10 samples or 2.5 mL of solution/min. One liter of solution is sufficient for processing ~100 samples, or about 5-6 hours of continuous use of the ICP-OES. Make up more solution as needed. (If running fewer samples make 500 mL instead) Volume 1L 500 mL 200 mL NaOH 0.5 g 0.25 g 0.1 g SB 5.0 g 2.5 g 1.0 g This solution must be filtered before use, with Whatman “3” Filter Papers (Whatman no. 1003-150) 150 mm diameter. After filtration add 0.9 mL Antifoam B Emulsion (Sigma A5757-250ML) for every 250 mL of sodium borohydride/NaOH solution. IMPORTANT NOTE: You must add antifoam solution to SB/NaOH solution or intense bubbling will cause the plasma to extinguish. If you use antifoam in the SB the hydride setup must be taken apart and flushed with DI H20 before you leave for the night or it will leave dried up residue inside of the bubbler and tubing. 4 M HCl 5% Potassium Iodide and 5% Ascorbic Acid (KI/AA) – prepared daily Weigh 25 g potassium iodide and 25 g ascorbic acid into 500 mL volumetric flask. Add 164 mL concentrated HCl to the volumetric to make the solution 4 M HCl. Bring to volume with DI water and mix to dissolve with stir bar. 1 Volume 500 mL 250 mL 200 mL 100 mL KI 25 g 12.5 g 10.0 g 5.0 g AA 25 g 12.5 g 10.0 g 5.0 g HCl 164 mL 82 mL 65.6 mL 32.8 mL 1.73 mol/L sulfamic acid (SA) Weigh 16.78 g sulfamic acid into 100 mL volumetric flask. Bring to volume with DI water and mix to dissolve with stir bar. Transfer to a labeled plastic bottle for future use. This solution does not have to be prepared daily. Reagent Notes: When starting the day, prepare the SB first as it needs to be filtered before use. The KI/AA solution also takes a little longer to fully dissolve; in the meanwhile, you can set up the filters for the SB. Both KI/AA and SB take no more than a few minutes to dissolve. Sulfamic acid (SA) will take longer to dissolve (up to 15-20 minutes) so if you know you are low on SA, prepare as early as possible to avoid holding up sample preparation. Order of preparation for a run: Make up reagents; Make up the standards; while these are sitting for 20 minutes, one can start preparing the samples. By the time samples are made the standards will have sat the needed 20 minutes and the ICP check/run can begin. Sample Preparation: 4.0 mL digested sample (hot block sample) 1.5 mL concentrated HCl 3.0 mL HCl/KI/AA 2.5 mL sulfamic acid = 11 mL total When computing solution ppb from ICP results – this is a 2.75 dilution factor Always add sulfamic acid last, and do so slowly to prevent violent bubbling and loss of sample. Also be sure to do this in a hood. Bubbling, discoloration, and even precipitation can occur in random samples, but more often than not occur in “blank” samples where the concentration of nitric acid may be higher. Shake with vortexer after gases dissipate and allow to stand for 20 minutes for reduction reaction to occur. Samples cannot be kept for more than one day. Samples take about 2 min. to run – For total run time, need to figure stds/QCs/ and spikes in addition to samples, in order to figure out how many you can run in a day. Typically with the addition of stds/QCs a set of 30 samples takes about 2 hours to run through from start to finish. Generally spikes every 10 samples. Standards Prepare As Stock solutions used to make the standards. For 1 ppm Stock: Pipette 0.1 mL 1000 ppm stock As solution into 100 mL volumetric flask. Bring to volume using 1 N Trace Element Grade HCl and mix well. Make new batch every month to ensure the accuracy of the standard. For 10 ppm Stock: Pipette 1.0 mL 1000 ppm stock As solution into 100 mL volumetric flask. Bring to volume using 1 N Trace Element Grade HCl and mix well. This solution will also be used for spikes. 2 Prepare standards in volumetric flasks. Example concentrations of calibration and QC standards are below. Then add the reagents and lastly, bring to volume with 1 N Trace Element Grade HCl. Keep in mind these standards have to be made daily and should not be saved past one day of use. Allow to sit for 20 minutes before using. Always prepare a 2.5 ppb standard daily for a start up check. Intensity usually hovers between 10001300 counts, but will occasionally be as high as 1500 counts. (ICP is set on Auto Read Parameters with a minimum of 5 seconds and a maximum of 20 seconds per replicate). When calibration is complete, except for the blank, RSD’s should be below 5.0 and should have at least a 0.999 Correlation Coefficient for the calibration curve. If not, correct the problem before starting to run samples. QC’s should ideally be within 10% for the primary wavelength As 189. Seek assistance if problems continue. Hydride Std CONC Vol 1.0 ppm CONC Vol 1.0 ppm CONC Vol 10.0 ppm CONC Vol 10.0 ppm CONC Size As Stock Std Size As Stock Std Size As Stock Std Size As Stock Std As, ppb mL mL mL mL mL mL mL mL Blank 50 0 100 0 - - - - 0.25 - - 100 0.025 - - - - 0.5 50 0.025 100 0.05 - - - - 1.0 50 0.050 100 0.10 - - - - 2.5 50 0.125 100 0.25 - - - - 5.0 50 0.250 100 0.50 - - - - 10.0 50 0.500 100 1.00 - - - - 20.0 50 1.000 100 2.00 - - - - 25.0 50 1.25 100 2.5 - - 100 0.25 40.0 50 2.00 100 4.0 50 0.2 100 0.4 50.0 50 2.50 100 5.0 50 0.25 100 0.5 75.0 50 3.75 100 7.5 50 - 100 0.75 100.0 50 5.00 100 10.0 50 0.5 100 1.0 Total Volume KI/AA (mL) Conc. HCl (mL) 25mL 6 3 50mL 12 6 100mL 24 12 . 3 Sample calibration range and approximate corrected intensity counts: Standard Intensity Counts (As 188.9 primary wavelength) Blank -6.6 - 100 1.00 ppb 500-600 2.50 ppb 1100-1300 (as high as 1500) 5.00 ppb 2500- 3800 10.0 ppb 5000 - 7200 20.0 ppb 11000-13000 Spikes Spike concentrations were determined by multiplying average sample readings by 3x. For example, typical plant samples were spiked at 10 ppb and 20 ppb alternating every 10 samples. Soil samples were spiked at 10 ppb and 40 ppb as As levels tended to be higher. For best results, make sure samples that are blanks, NISTs, and other standards are not spiked. Samples were spiked using a 10.0 ppm As stock solution (as prepared above). Spike level (concentration) Spike volume (of 10 ppm stock) in 11 mL sample 10 ppb 20 ppb 40 ppb 11 µL 22 µL 44 µL In general, spike recovery for As is very good. All but one or two spike sets come back within 90% (most closer to 100%) recovery in a set of 300 samples. In smaller sets of samples, we were able to have close to 100% recovery for all spikes. Instrument Parameters PerkinElmer Optima DV 4300 is operated in axial mode, using a Glass Liquid Separator set-up. Using the recommended tubing and probe, the set-up uses approx. 5 mL/min. of sample and 2.5 mL/min. of sodium borohydride. Instrument Settings: Rinse time Plasma Gas Auxilary Gas Nebulizer Gas Flow rate Power Torch Readings Read Parameters Wavelengths When autosampler is in location, plus 30 seconds 16 L/min 0.2 L/min 0.60 L/min 1.5m L/min 1450 watts -2.0 Peak Area, 3 points per peak, 2 pt. background 3 reps min 5 s integration time max 20 s integration time As188.9 primary, As193 secondary check 4 Purge gas Axial Read Delay nitrogen Viewing Distance 15.0 40 s Autosampler Probe Rinse Time: Due to the larger sampler tubing, the rinse time needs to be extended for the autosampler. An additional 30 sec. works well to insure there is enough rinse in the rinse port. (Can be changed by going into Options/autosampler). Clean-up Samples cannot be kept overnight, so only prepare as much as you can run on the same day. Dump samples in the appropriate acid waste container and fill empty tubes from the analysis run with soapy water until they are taken to an acid bath. When dumping SB and KI/AA into the acid waste container, some foaming is common. If running again the next day glassware can reused if rinsed with water (beakers containing SB and KI/AA, funnels for filtering SB, volumetrics used for making reagents) or 1 N HCl (volumetric flasks used for making standards, including the stoppers). If you will not run hydride again for several days or weeks, then all glassware should be submerged in soapy water and cleaned in an acid bath. When no further As analyses are scheduled, volumetric flasks and plastic standards tubes should be rinsed and put into the appropriate holding bucket used for standard equipment until they are cleaned in an acid bath. The bubbler, tubing and mixing block must be flushed with DI H20 at the end of the day to rinse it of the antifoam residue. If you do not perform this step the residue can dry inside of the hydride setup and cause problems. Set-up: NOTE: Tubing should be changed weekly with heavy (daily) use or more frequently as needed. Flow Apparatus: Different fittings can be used, but our current set-up is shown (see photos) and parts are listed in the table below. A set of two mixing blocks are used to combine the sample and reductant streams and then to add the stripping argon. The gaseous hydrides are transported by the stripping argon flow directly into the base of the Option 4300DV. Photo Label PE Part # QTY Liquid separator (Comes with fittings) B0193772 1 B tubing with sinker B0191059 1 C blue to blue - 1.0 mm dia, 110 mm PTFE tubing. B0191058 2 D blue to blue 1.0 mm dia, 300 mm PTFE tubing. B0198097 2 E adapter E B0196857 1 F adapter A B0193342 2 G adapter C B0196850 2 A Item # 5 H adapter K B0507918 1 I adapter L B0507920 1 J mixing block B0507962 2 K silicon tubing B0018283 1 L autosampler probe B3000055 1 M sample tube B191060 1 N injector adaptor N069-5426 1 O Connector 1B B0196882 1 P 1.14 mm peristaltic pump tubing, red/red, Reductant Q 1.52 mm peristaltic pump tubing, blue/yellow, Sample Rainin 39-625 R 3.18 mm peristaltic pump tubing, black/white, Waste Rainin 39-628 S PVC Tubing 3 mm i.d. Fisher Brand 14-190524 B0048139 6 7 Sources “Continuous Flow Hydride Generation using the Optima4300DV ICP,” Bosnak CP and Davidowski L (2004) Damkroger G, Grote M, Jansen E (1997) Fresenius J of Anal Chem 357: 817-821 8
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