Step 2 Calibration/Standard Preparation Choice of calibration method dependent upon several factors: 1. potential matrix effects 2. number of samples 3. consistency of matrix across samples
Step 2 Calibration/Standard Preparation EXTERNAL CALIBRATION: Prepare a set of standard solutions to cover the expected range of analyte concentrations Fit a least squares regression line y = mx + b and calculate analyte concentration in unknowns
Step 2 Calibration/Standard Preparation 23 Na calib curve (Medium resolution) 1000000 900000 800000 700000 y = 17557x R 2 = 0.9992 600000 cps 500000 400000 300000 200000 100000 0 0.00 10.00 20.00 30.00 40.00 50.00 60.00 conc ppb
Step 2 Calibration/Standard Preparation 44 Ca calib curve (Medium resolution) 40000 35000 30000 y = 676.92x R 2 = 0.9961 25000 cps 20000 15000 10000 5000 0 0.00 10.00 20.00 30.00 40.00 50.00 60.00 conc ppb
Step 2 Calibration/Standard Preparation Advantages of External Calibration Easy to prepare Quick Widely used technique
Step 2 Calibration/Standard Preparation Disadvantages of External Calibration: Need to matrix match calibration solutions and samples If standards containing <2000 ug/ml (ppm) are being used, then preparing the standards as simple aqueous solutions using the acid matrix (5% HNO 3 ) employed for the samples is sufficient HOWEVER, if the samples contain a very high concentration of one (or more) elements, then this may not be adequate
Step 2 Calibration/Standard Preparation Preparation of External Calibration Solutions: Need to evenly space calibration concentrations If the highest concentration is much higher than the rest, linear regression introduces bias favoring the high point X = independent variable = concentration Y = dependent variable = counts/second
Standard Addition Method Aliquots of spike are added to unknown samples to increase the ion signal intensities for elements of interest Typically use at least three aliquots of sample spiked with evenly spaced amounts of analyte These spiked aliquots of sample are used to generate a calibration line and calculate the concentration in the sample
Standard Addition Method S0 = unspiked sample S1 = sample spiked with analyte at concentration x S2 = sample spiked with analyte at concentration 2x S3 = sample spiked with analyte at concentration 3x S4 = so on and so on
Standard Addition Method AMT 500000 450000 400000 350000 300000 y = 29387x + 279235 R 2 = 0.9992 Cps 250000 200000 150000 100000 50000 0 0 1 2 3 4 5 6 7 Concentration (ppb)
Standard Addition Method The concentration of the unknown solution is then determined by dividing the y-intercept value by the slope of the sample-spike mixing line. From example on previous slide, Conc. sol n = 279235 / 29387 = 9.5 ppb If the original sample was a solution, then this is the concentration of the analyte in question in the solution
Standard Addition Method If the original sample was in solid form that you digested and subsequently converted into a solution; then in order to determine the concentration of the analyte in question, you must factor in the amount of total analyte in the solution and the dry weight of the sample powder
Standard Addition Method If we continue with the same example, the solution has a concentration of 9.5 ppb, and the original volume of the unknown solution was 10 ml (g) prior to aspirating some of it into the plasma for analysis, then the total amount analyte in the solution is: = 10 g x 9.5 ng/g (ppb) = 95 ng, or = 0.095 µg If the amount of powder weighed out was 0.1 g, then the concentration of the element in question is: Conc. = 0.095 µg/0.1 g = 0.95 µg/g or ppm
Standard Addition Method This method works best if the slope of the calibration line is not too shallow This will create more uncertainty in the location of the intersection between the cps of your unknown and the calibration line
Standard Addition Method For maximum precision it s necessary that the amount of sample be the same in each aliquot Also want the amount of spike added to be the same for each aliquot Amount of spike added should be as small as possible (usually 0.1 ml to 10 ml total volume)
Standard Addition Method Ideally, the highest spike concentration should be approximately equal to the concentration of analyte in the unknown Need to have some idea of the concentration in the sample prior to analysis
Advantages: Sample Analysis Design Standard Addition Method Overcomes matrix differences More precise and accurate than external calibration Disadvantages: Requires at least three aliquots for each sample Run lengths become much longer and more preparation time is required
Isotope Dilution Most accurate and precise calibration method available Requires analyte with two stable isotopes Monoisotopic elements cannot be determined via isotope dilution Spike natural sample with enriched isotope spike of analyte
Isotope Dilution The amount of spike is selected so that the resulting ratio between spiked isotope and unspiked isotope is near unity maximizes precision Typically use the most abundant isotope as the reference -- maximizes sensitivity
Isotope Dilution Check isotope ratio in unspiked sample to determine if the natural ratio in the sample matches with the predicted ratio If not -- interference in acting on one or both of the isotopes Always attempt to use interference free isotopes
Isotope Dilution Prepare the spike to desired concentration Add spike as early as possible after equilibration of spike and sample you don t have to have complete sample recovery During any stage of the process complete equilibration is absolutely necessary
Isotope Dilution Analyze the solution on the ICP using many repetitive scans (to maximize precision) Need to measure isotopic ratios on standards of a known ratio in order to correct for machine mass discrimination Use previous equation to calculate concentrations!
Advantages: Sample Analysis Design Isotope Dilution Most accurate and precise method for quantitative elemental concentrations Partial loss of analyte during preparation is compensated for since physical and chemical interferences are not an issue -- will cancel out as they will affect each isotope identically Ideal form of internal standardization since another isotope of the same element is used in this capacity
Isotope Dilution Disadvantages: Generally only applicable to multiple-isotopic elements Need an enriched isotope spike for the analyte of interest - not always available or sometimes at very high cost Need two interference free isotopes VERY time consuming
Sample Analysis Design STEP 3 INTERNAL STANDARDIZATION & INSTRUMENT DRIFT CORRECTION
Internal Standard Every sample should be analyzed with an internal standard (IS) What is an internal standard (IS)? element that is added to EVERY sample/ blank/calibration standard/qa sample/etc., that is not expected to be in the sample in appreciable quantities and is not an element of interest use IS to monitor machine drift (both short and long term) and matrix effects
Internal Standard Choice of IS depends upon which elements you are quantifying The IS should have similar properties in the plasma as element(s) of interest ICP-MS: similar in mass/ionization potential
Example: Sample Analysis Design Internal Standard attempting to quantify U - use Th attempting to quantify most transition metals - use As attempting to quantify REEs - use Re 115 In and 103 Rh are common IS for general use alternatively, you can add several IS to each sample
Internal Standard From previous slide, we assume that samples have little or no Th, As, or Re It s important to have an idea of what s in your sample prior to quantitative analysis Solid samples can use a naturally occurring element as IS, provided that you know the concentration in each sample
Procedure for IS use: Sample Analysis Design Internal Standard Calculate the concentration of the IS in each centrifuge tube the latter will contain an aliquot of your sample and an aliquot of the IS Divide the measured ion signal (CPS) by the concentration of your IS to derive the factor = CPS/ppb Divide CPS/ppb of each tube by the CPS/ppb for those measured for the blanks since these are not influenced by possible effects due to sample matrices The latter yields a dimensionless correction factor (I refer to it as a normalization factor) Use correction factor to adjust analyte counts for drift or matrix effects
Advantages: Sample Analysis Design Internal Standard Fluctuations are monitored in each sample/ calibration / blank Disadvantages: Assume that behavior of IS is the same as the analyte
Instrumental Drift Correct for instrument drift with: Internal standardization is a common procedure Use of drift corrector solutions (DCS)
Instrumental Drift Drift Corrector Solutions (DCS): Measure the same solution intermittently throughout the course of the analytical session Change in ion signal is assumed to be linear between each DCS measurement
Instrumental Drift The DCS should contain all elements of interest and can be matrix matched to samples Example: use standard reference materials (SRMs) for DCS
Instrumental Drift Apply a linear correction to samples between DCS solutions DCS 1 + ((DCS 2 - DCS 1 )*F) F = position dependent fraction
Instrumental Drift Advantages of DCS correction: all analytes are monitored for drift nothing added to sample solutions Disadvantages of DCS correction: assume change is linear cannot easily monitor matrix effects
Background & blanks Standard blank - blank used to monitor polyatomic ion interferences, gas peaks, and contamination from reagents; used for background subtraction Procedural blank - blank used to monitor contamination acquired during all stages of sample preparation; grinding, digestion, acidification, powdering, etc
Background & blanks Use of blanks during an analytical session: ALWAYS begin an analytical session with at least one standard blank Analyze standard blanks periodically throughout the course of the session in particular to monitor memory effects Process and analyze at least one procedural blank at some point during your research study; for its analysis, it s preferable to measure it early in order to avoid any potential memory effects
Background & blanks The more standard blanks that are run during an analytical session, the more information you will have with regards to monitoring change(s) in background levels throughout the entire session
Background & blanks How to determine the background : 1. just use the first standard blank 2. average all standard blanks 3. take median of all standard blanks 4. apply statistical analysis to standard blanks and select some of them
Outlier tests: Sample Analysis Design Background & blanks 1. I know the truth 2. Looks different 3. Statistical proof
Background & blanks Option 1 should be avoided - unscientific and invalid Option 2 is better but only if the measurement is repeated Option 3 is the best approach, but needs to be carried out carefully in order to avoid false negatives and positives
Background & blanks Huber Outlier Test take median of all values calculate absolute deviation x i -x m take mean of absolute deviations (MAD) multiply MAD by coefficient (k = 3-5) anything higher than k*mad is rejected as outlier
Background & blanks Calculation of Limit of Detection (DL) and Limit of Quantification (QL) Easy way: LOD = 3*STDEV blank ; LOQ = 10*STDEV blank
SUMMARY A good analytical method will: 1. provide the means to calculate an accurate background level 2. allow for correction of instrument drift 3. use Internal standardization to monitor matrix effects 4. provide some method for monitoring/ correcting interferences 5. Use a proper calibration strategy
Example Calculation Determination of Ca and Na in beetle blood Using External Calibration Method