Determinations and Interpretations of FTIR Detection Limits

Slides:



Advertisements
Similar presentations
Quality is a Lousy Idea-
Advertisements

EPA Methods 3A, 6C, 7E, 10 & 20 Corrections to May 15, 2006 Final Rule That Updated the Methods That Updated the Methods Foston Curtis US EPA.
Instrumental Analysis
Calibration methods Chemistry 243.
Mentoring Session Technical Assistance Committee Method Modifications.
CHEMISTRY ANALYTICAL CHEMISTRY Fall
Chapter 1 Introduction Analytical Chemistry deals with methods for determining the chemical composition of samples. Qualitative Analysis (identification)
World Health Organization
ANALYTICAL CHEMISTRY ERT 207
Summary 1 l The Analytical Problem l Data Handling.
Instrumental Methods: Intro  Types of Instrumental Methods  Fundamental Components of an Instrument  Instruments Measure Voltages and Currents! (“Machines”
Biomedical Tracers Biology 685 University of Massachusetts at Boston created by Kenneth L. Campbell, PhD.
Detect Limits as Representation for a Standard VAP Rule Discussion Dawn Busalacchi Risk Assessor, DERR, Central Office VAP Rule Discussion Dawn Busalacchi.
Real Time Emission Measurements Using FTIR Spectroscopy (EPA Method 320) Jeffrey LaCosse Spectral Insights LLC December 8,
Chemometrics Method comparison
Instrumental Analysis
RELIABILITY AND VALIDITY OF DATA COLLECTION. RELIABILITY OF MEASUREMENT Measurement is reliable when it yields the same values across repeated measures.
Arsine Detection using Chemcassette ® Technology.
The following minimum specified ranges should be considered: Drug substance or a finished (drug) product 80 to 120 % of the test concentration Content.
Analytical considerations
Analytical chemistry MLAB 243 Level 4 Lecture time: every WED 8 -10
Laboratory Technical Issues Presentation to: KWWOA April 9, 2014 Department for Environmental Protection Environmental & Public Protection Cabinet To Protect.
Chem. 31 – 9/23 Lecture Guest Lecture Dr. Roy Dixon.
Introduction to Analytical Chemistry Dr M. Abd-Elhakeem Faculty of Biotechnology General Chemistry Lecture 7.
Quality WHAT IS QUALITY
How to Select a Test Method Marlene Moore Advanced Systems, Inc. June 15, 2010.
Bias and Errors. Some Terms Used to Describe Analytical Methods Accuracy Precision LOD RDL LOQ Selectivity Sensitivity Linearity Ruggedness.
1 / 9 ASTM D19 Method Validation Procedures William Lipps Analytical & Measuring Instrument Division July, 2015.
Quality Control Lecture 5
Ammonia Measurement Techniques Ji-Qin (Jee-Chin) Ni, Ph.D. Dept. of Agricultural and Biological Engineering Purdue University October 21, 2008 Albuquerque,
Quality Assurance How do you know your results are correct? How confident are you?
Chimiometrie 2009 Proposed model for Challenge2009 Patrícia Valderrama
Instrumental Methods: Intro
B. Neidhart, W. Wegscheider (Eds.): Quality in Chemical Measurements © Springer-Verlag Berlin Heidelberg 2000 H. Albus Basic Course Experiments to Demonstrate.
Validation Defination Establishing documentary evidence which provides a high degree of assurance that specification process will consistently produce.
Wenclawiak, B.: Fit for Purpose – A Customers View© Springer-Verlag Berlin Heidelberg 2003 In: Wenclawiak, Koch, Hadjicostas (eds.) Quality Assurance in.
Industrial Technology Institute Test Method Validation & Verification H.P.P.S.Somasiri Principal Research Scientist / SDD-QAD /QM Industrial Technology.
Quality Control Internal QC External QC. -Monitors a test's method precision and analytical bias. -Preparation of quality control samples and their interpretation.
LECTURE 13 QUALITY ASSURANCE METHOD VALIDATION
Module 11 Module I: Terminology— Data Quality Indicators (DQIs) Melinda Ronca-Battista ITEP Catherine Brown U.S. EPA.
 Routine viral diagnostics: indirect and direct detection of viruses. ◦ Indirect detection: serological tests; ◦ Direct detection:  Viral antigens;
Multi-Analyte LC-MS/MS Methods – Best Practice.
Topic 11 Measurement and data processing
Quality is a Lousy Idea-
T. Higgs May 25, 2017 AESA Stack Testing Seminar
FTIR - SOME LESSONS LEARNED
The 2015/2016 TNI Standard and the EPA MDL Update
Statistical Core Didactic
ANALYTICAL CHEMISTRY deals with methods for determining the chemical composition of samples. Dr Seemal Jelani ENVR-303 6/16/2018.
Fundamental Techniques and Measurements
Hypothesis Testing and Confidence Intervals (Part 1): Using the Standard Normal Lecture 8 Justin Kern October 10 and 12, 2017.
EPA Method Equivalency
Instrumental Methods: Intro
Strategies for Eliminating Interferences in Optical Emission Spectroscopy Best practices to optimize your method and correct for interferences to produce.
Introduction to Atomic Spectroscopy
2005 MRG stakeholder day Concerns and proposals of the downstream oil industry J-F. Larivé, CONCAWE.
Quality is a Lousy Idea-
What it Means, Why it Works, and How to Comply
METHOD VALIDATION: AN ESSENTIAL COMPONENT OF THE MEASUREMENT PROCESS
Choice of Methods and Instruments
Chapter 1: The Nature of Analytical Chemistry
Fundamental Techniques and Measurements
Elements of a statistical test Statistical null hypotheses
Chapter 1: Introduction to Research on Physical Activity
Uncertainty and Error
Introduction To Medical Technology
Satish Pradhan Dnyanasadhana College, Thane. Department of Chemistry S
Spectroscopy Uses emission and absorption of light by electrons moving between ground and excited state configuration, hence electronic configuration.
Preparing for a Stack Test
▪Internal quality control:
Presentation transcript:

Determinations and Interpretations of FTIR Detection Limits Curtis T. Laush, Ph.D. Geosyntec Analytical Measurements Group, 8217 Shoal Creek Blvd., Suite 200, Austin, TX 78757 claush@geosyntec.com; phone, 512-354-3287

Increase dynamic field measurement range of instrument Why Determine and Minimize Field Detection Limits (FDLs) Regardless of Measurement Method? Need to know what “zero emissions” mean for target pollutants under study How do “BDLs” get treated? The lower FDLs can accurately be, the less significant this question becomes Increase dynamic field measurement range of instrument And more accurate calibration curves can be generated Increase accuracy of measurement for low-level emitters Better signal-to-noise and less baseline artifact interferences across the integrated absorbance band(s) lead to better fit with calibration spectra Results in better emissions modeling and inventories Better monitoring/understanding of emission chemistries

EPA Method 320 vs. Standard Test Method ASTM D6348-12 Both ask for pre-test “minimum detection limit (MDL, aka MDC)” estimates Both based on RMS (instrumental or analytical) noise of an analytical region and the absorptivity of the analyte in the same region These DLs are always best-case and usually idealistic Both suggest field verification of actual FDLs via analyte spiking methods They suggest spiking as low as 2-3 times MDLs When done properly, actual field measurement accuracies and FDLs are empirically determined; they apply as long as the spectral interference matrix did not significantly change between the analyte spiking events ASTM D6348-12 suggests further calculating post-test MDL estimates Presumably, observed spectral interferences within the sample matrix caused changes in the analytical method, also changing the MDLs This provides good estimates of “analyte zeros” because now actual field spectra (possessing all other interferants/pollutants) are used in the RMS analyses

Example of a Field Gas Spiking and Sampling Configuration for Periodic Validations PFA Teflon sample tubing Enhanced FTIR Sample Cell Stack, exhaust or ambient air source Sample Pump 0-5 lpm MFM 0-1 lpm MFC Certified Gas Standard in Cylinder (100 ppb each of mixed VOCs in UHP nitrogen balance)

Some FDL Validations

Analyte Spiking Surrogates? Obtaining an actual FDL of each zero analyte requires a certified gas standard for each zero pollutant There may be too many or some are too reactive or nonvolatile to handle in gas cylinders Elaborate “laboratory assemblies” can be field implemented if the pollutants are critical to empirically determine and the chemicals can be handled What about chemical surrogates? Method 301/320 mentions their use If similar enough in chemical reactivities to the target analytes in question, they may be serviceable in validating recoveries of the sample gas extraction assembly Because FTIR completely speciates the quantitative analyses of all pollutants, the use of surrogates is not technically acceptable in analytical method data QA/QC procedures (validating accuracies, precisions, etc.) where calibrations are being validated BUT, they could possibly be serviceable in estimating FDLs IF calibration differences are factored, analysis regions are close and spectral “shapes” are similar

Ethylene Glycol vs. Surrogates Ethanol or Methanol at 50 C (same pathlength * concentration) ~1500 * Pvap(CH2OH)2 = Pvap(CH3OH) ~750 * Pvap(CH2OH)2 = Pvap(C2H5OH) ∫A(CH2OH)2 = 1.6 * ∫AC2H5OH = 1.5 * ∫ACH3OH *Surrogate suitability: EtOH >> MeOH

How about considering Ethylene as a spectroscopic surrogate? *Non-suitable surrogate due to spectral dissimilarities and likely out of analysis region

Not any pre-test instrument noise-limited MDLs So Which DL Determination Method Should be Used in Modeling/Emissions Inventories? Not any pre-test instrument noise-limited MDLs These are a nice precursor to field testing, but certainly not field realistic Generally, FDLs will end up being 2 – 50 times pre-test MDLs In order of relevance: Field verification of actual FDLs via analyte spiking methods Field verification of actual FDLs via analyte + surrogate spiking methods True surrogates are difficult to obtain, however Post-test estimates of MDLs using field spectra Note: This relies on accurate/traceable spectral calibrations!

Post-test Estimate of MDLs: Two Methods of Determination Per ASTM D6348-12 MDC#2 is calculated as such: Need > 8 independent field spectra Or, MDC#3 estimates are made based on averages of residual equivalent absorbances, REAs, in the field spectra; also known as CLS “residuals” or “errors” Basically, the absorbance left after the analysis routine have accounted for all analyte absorbances Use the higher value as the most conservative MDL estimate

What’s the “Realistic” Field MDL, MDC#2 vs MDC#3?

Conclusions With FTIR, there are usually distinct differences in its pre-test MDLs vs. FDLs because of spectroscopic interferences Because of the inherent variability of semiconductor emission sources in terms of process activity, number of pollutants, chemistry of pollutants, nature of aerosolized by-products Empirically determined FDLs are best, followed by post-test MDLs If the treatment of analyte “zeroes” are a concern, the best course of action is to go into any emissions testing program with best achievable instrumentation configurations and quantitative analytical methods In terms of test reporting, it is best to provide the entire “evolution” of DLs throughout: pre-test MDLs, validated FDLs, post-test MDLs per ASTM D6348-12 The data treatments and interpretations described here can, and should, be applied to real-time measurement methods other than FTIR