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4.7 Other interferences can arise from K/L, K/M, and L/M line overlaps, although these <br /> overlaps are less common. Examples of such overlap involve arsenic (As) K./lead (Pb) LQ and sulfur <br /> (S) KJPb MQ. In the As/Pb case, Pb can be measured from the Pb Lp line, and As can be measured <br /> from either the As K. or the As KR line: in this way the interference can be corrected. If the As Kp <br /> line is used, sensitivity will be decreased by a factor of two to five times because it is a less intense <br /> line than the As K. line. If the As K. line is used in the presence of Pb, mathematical corrections <br /> within the instrument software can be used to subtract out the Pb interference. However, because <br /> of the limits of mathematical corrections, As concentrations cannot be efficiently calculated for <br /> samples with Pb:As ratios of 10:1 or more. This high ratio of Pb to As may result in no As being <br /> reported regardless of the actual concentration present. <br /> No instrument can fully compensate for this interference. It is important for an operator to <br /> understand this limitation of FPXRF instruments and consult with the manufacturer of the FPXRF <br /> instrument to evaluate options to minimize this limitation. The operator's decision will be based on <br /> action levels for metals in soil established for the site, matrix effects, capabilities of the instrument, <br /> data quality objectives, and the ratio of lead to arsenic known to be present at the site. If a site is <br /> encountered that contains lead at concentrations greater than ten times the concentration of arsenic <br /> it is advisable that all critical soil samples be sent off site for confirmatory analysis by an EPA- <br /> approved method. <br /> 4.8 If SSCS are used to calibrate an FPXRF instrument, the samples collected must be <br /> representative of the site under investigation. Representative soil sampling ensures that a sample <br /> or group of samples accurately reflects the concentrations of the contaminants of concern at a given <br /> time and location. Analytical results for representative samples reflect variations in the presence and <br /> concentration ranges of contaminants throughout a site. Variables affecting sample <br /> representativeness include differences in soil type, contaminant concentration variability, sample <br /> collection and preparation variability, and analytical variability, all of which should be minimized as <br /> much as possible. <br /> 4.9 Soil physical and chemical effects may be corrected using SSCS that have been <br /> analyzed by inductively coupled plasma (ICP) or atomic absorption (AA) methods. However, a major <br /> source of error can be introduced if these samples are not representative of the site or if the <br /> analytical error is large. Another concern is the type of digestion procedure used to prepare the soil <br /> samples for the reference analysis. Analytical results for the confirmatory method will vary <br /> depending on whether a partial digestion procedure, such as SW-846 Method 3050, or a total <br /> digestion procedure, such as Method 3052 is used. It is known that depending on the nature of the <br /> soil or sediment, Method 3050 will achieve differing extraction efficiencies for different analytes of <br /> interest. The confirmatory method should meet the project data quality objectives. <br /> XRF measures the total concentration of an element; therefore, to achieve the greatest <br /> comparability of this method with the reference method (reduced bias), a total digestion procedure <br /> should be used for sample preparation. However, in the study used to generate the performance <br /> data for this method, the confirmatory method used was Method 3050, and the FPXRF data <br /> compared very well with regression correlation coefficients (r2 often exceeding 0.95, except for <br /> barium and chromium. See Table 9 in Section 17.0). The critical factor is that the digestion <br /> procedure and analytical reference method used should meet the data quality objectives (DQOs) of <br /> the project and match the method used for confirmation analysis. <br /> 4.10 Ambient temperature changes can affect the gain of the amplifiers producing instrument <br /> drift. Gain or drift is primarily a function of the electronics (amplifier or preamplifier) and not the <br /> detector as most instrument detectors are cooled to a constant temperature. Most FPXRF <br /> instruments have a built-in automatic gain control. If the automatic gain control is allowed to make <br /> CD-ROM 6200 - 5 Revision 0 <br /> January 1998 <br />