is a quotation by William Shakespeare from his play Romeo and Juliet meant to say that the names of things do not matter, only what things are. In the play Romeo and Juliet, the line is said by Juliet in reference to Romeo’s house, Montague which would imply that his name means nothing and they should be together.
Does nomenclature really matter?
Why do we lawyers have problems connecting and talking with you scientists?
Why do you scientists seem so obtuse and needlessly pedantic to us?
In part, it may be a nomenclature issue. I suggest that if we are going to try to open laboratories and make them be transparent and for lawyers and the judiciary to examine their processes to ensure against unjust convictions, then we need to mind our nomenclature. I suggest that we use either the International Conference on Harmonization (ICH) and The International Union of Pure and Applied Chemistry (IUPAC) Gold Book definitions.
No place in forensic testing is this need to use the correct nomenclature more important than when we discus the validity of a given method when it comes to any sort of testing. A small component of validity is metrology. We have discussed metrology before here at the www.TheTruthAboutForensicScience.com blog as well as www.PADUIBlog.com as well.
The goal of all measurement is to try to capture the true value or the actual value of that which we are measuring. However, we can never, never do so. We can only attempt to design a method of measurement where we have set up a process where we have determined what level of risk we are willing to accept that we are wrong. Measurement is the study of acceptable risk. What level of risk is acceptable that we could be wrong in our measure? You see we are always wrong. It is a question of how much are we willing to risk that we are wrong and how wrong are we willing to be. Uncertainty Measurement (UM), if properly done, is the imperfect embodiment of the expression of that risk.
You write as to “accuracy.” Accuracy (strictly in a ICH and IUPAC way) is a particular type of assessment of a measurement. Accuracy is more properly known as “bias.” Bias is the measure of how closely the results are to the true value. It is characterized by perhaps a high Standard Deviation, but may or may not have a low average deviation from the true (actual) value.
Then there is precision. Precision is an entirely different type of animal. They are inter-related and dependent variables, but they are entirely different concepts. Precision is more properly known as “calibration.” Precision is best defined as a measure of how closely the results can be to one another. It is characterized by a low Standard Deviation, but may or may not have a high average deviation from the true (actual) value. Precision is made up of repeatability, intermediate precision, and reproducibility. Repeatability is characterized as the ability day-in and day-out using the test, using the same method on the same instrumentation on the same unknown arrives at the same result. Intermediate precision is an expression of with-in laboratory variation: different days, different analyst, etc. Reproducibility is defined as the ability of a test or experiment to be accurately reproduced, or replicated, by someone else working independently. Precision should be investigated using homogeneous, authentic samples over the long term.
There are three graphical representations that best and most simply show these concepts.
(This graphical representation is the best one to describe these intersecting and dependent features as to a single measuring event)
(This graphical representation is the best one to show the intersect of these dependent features over multiple measures. As we can see from this depiction the goal of minimizing risk of bias and calibration error is a moving target. You adjust one and the other may suffer. It is also quite costly to minimize both simultaneously. It is exponentially easier and cheaper to correct for calibration error than bias error.)
(This graphical representation is from Ted Vosk’s presentation at the AAFS meeting. I am unsure as to where he got it. This graphical representation again looks at an individual measure and shows the difference between Type I error and Type II error. Type I error can be termed, by and large, as a function of bias; whereas, Type II error is, by and large, a function of calibration.)
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
This post is inspired by a combination of two events. First a comment by opposing counsel, and second several comments by several “old school” forensic science practitioners at this year’s American Academy of Forensic Science (AAFS) annual meeting that I attended. In a contested hearing opposing counsel argued that there was “no such thing as metrology.” He said this despite the fact that he heard from two metrologists about the well-established science, and its application. The second set of comments came from many at the AAFS meeting when Ted Vosk, Esquire who is a friend and colleague of mine was presenting at the meeting. He was lecturing at a part of a presentation on Uncertainty Measurement (UM) reporting in the forensic arena. In reaction to his words, some people commented that UM reporting was a “waste of time” or a “useless exercise.” One person commented that if it were to be done “where would I stop the figuring of UM.”
I actually think it is a simple case.
Quite frankly, I don’t understand what all of the hub-bub is about in not reporting UM.
What is the confidence of your measure? Are you a house cat who thinks he is a lion?
Whereas my good friend Ted Vosk, Esquire made a very good, very convincing and very impassioned plea to the analyst’s sense of justice and science, I am going to try to be more practical. I am going to make an appeal to your logical bias.
Here is my open address to all of those involved in forensic science (regardless of whether you are employed by a prosecutor or a defender) in terms of UM reporting:
An opinion letter to all those in forensic science laboratories today
Dear Forensic Scientist,
I know you are not the robot that you claim to be when you preform some form of science. I understand that you are a real life human being. As such, you have bias. And you know what? Here’s a dirty little secret: it is totally acceptable that you do. You cannot not have bias. You have no choice in the matter. It is failing to acknowledge your bias that is dangerous. If you acknowledge you have bias, then you can take steps to mitigate it and try your best to not allow it inappropriately to influence your process, your procedure, your performance, your interpretation, your opinion and your conclusion.
Your bias could be as extreme as that you want one side to win. Your bias could be that you want to defend your interpretation or your opinion. Your bias could be that you want to defend your data. Your bias could be that you want to defend your profession. Your bias could be that you want to defend what you do or did.
To that end, I appeal to your bias with this. Logically.
1. You are not the finder of facts.
2. You are not supposed to be an advocate.
3. To do otherwise, you are an editor of facts.
4. When you present your measure as an absolute value, the old adage of “A half truth+ A half truth= A full lie” applies.
But you still say “Why present UM at all or why should I present it unless it is near a critical value?”
Well, it’s simple. These days, criminal defense lawyers win by exposing the whole truth when you chose not to present the whole truth. When you present a measure, whether it is a qualitative or quantitative measure, as an absolute and therefore free of any sort of doubt or error, you know scientifically this is wholly wrong.
A half truth+ A half truth= A full lie.
My colleagues are slowly learning the whole scientific truth. When you show half truth, we show the whole truth truth. We show the truth in the limitation of the assay performed, the truth about the limitation of your knowledge and experience, and the truth that you made assumptions or interpretations or judgment calls along the way.
No matter how much you try to justify on re-direct this initial lack of full disclosure of the whole truth, you will likely lose. Also, it frequently doesn’t matter if on re-direct examination if you have the UM ready to report. You have been exposed. There is doubt.
While the simple truth is in some tightly controlled and truly validated methods, the demand for honest and complete reporting in the expanded UM in both the quantitative measure and the qualitative measure (using acceptable metrologically acceptable methods such as the propagation of errors method or Monte Carlo analysis) may actually show that there is no possible way that the value could be below the critical measure, in my view, I say “Good,” and “So be it.” If you can legitimately and statistically prove (not just simply a stated value) that it takes 6, 7, 8 or 100 sigma to get below the critical value, then you have nothing to fear do you? But do you know you are in control?
If it is true, then that is what belongs in the courtroom and nothing else.
To do otherwise is a scientific sin (Vosk’s point) and will make you seem deceptive because you know what? You are (my point).
True science is not your private parochial sandbox that you need to “protect” us from, but rather it is for all of us to share in the joy of unbiased discovery of the truth at the temple of empircism.
With true sincerity as a true admirer of validated science,
Justin J. McShane, Esquire
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
Scan this QR mark into your cell phone to get bonus information on Lord Kelvin
In a series of posts, I am going to introduce the reader to the existence of ISO 17025 and its importance. I am going to introduce it in bite-sized bits for easy digestion. Just like all matters of learning, knowledge is incremental over time and builds upon previous exposure.
So far we have answered the following questions:
In today’s post we seek to tie all of the other 11 posts together into something meaningful to the Practitioner.
While it is important to note for the criminal law Practitioner that ISO 17025 is coming to a laboratory near you, it provides only a useful framework from which minimum standards of scientifically acceptable policy, procedure, and instructions result in the overarching Quality Management System. These are minimum safeguards that are recognized per ISO and certainly do not constitute or endorse a laboratory to produce a forensically acceptable result at the end of its implementation of the ISO 17025 quality management system.
(Consider this: Who wants a doctor who only meets “minimum standards” or a lawyer who only meets “minimum standards.”)
Some of the most striking inadequacies of ISO 17025 and ASCLD/LAB’s interpretation of it concerns the definition of “customer” as described in our earlier post as well as when and if Uncertainty Measurement (UM) should be reported as detailed as discussed previously.
With the “customer’ being interpreted as the prosecuting authority UM will not likely be reported
Another systemic shortcoming of ISO 17025 and ASCLD/LAB’s interpretation of it comes in the basics of true Bayesian-based expanded UM reporting. While they address for the first time the need to be uniform and consistent in the approach towards testing and calibration among laboratories, within a laboratory, and even down to the analyst, they focus exclusively on the quantification of an unknown. It leaves untouched and unaddressed, except indirectly in the method validation requirements, the importance of the qualitative measurement and its validity. Nowhere in ISO 17025 is the need to be selective and specific in a reported qualitative measurement report directly addressed. This rush to be able to express UM in terms of quantification seems to be placing the cart before the proverbial horse . If one focuses on the quantitative measure but first cannot be certain that the method employed is one that results in a qualitative measure that is both selective and specific to the exclusion of all other possible methods and conclusions in terms of a qualitative result, then there can be no real value in the measure itself. In other words, the key question of “Does the method exclusively and uniquely measure what we need measured?” remains unaddressed.
William Thomson, 1st Baron Kelvin (26 June 1824 – 17 December 1907) once wrote,“[When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the state of Science, whatever the matter may be.”
The days of ISO 17025 are shortly coming upon us. If the defense bar is properly prepared, then we can provide to the trier of fact and the citizen among us who has entrusted us with his liberty that final and all-important last check to the unfettered power of the great Leviathan that is the government. It is up to us, armed with knowledge, to defend the citizen among us who has been accused of a crime. It is through our own ignorance that we can insure that personal tragedy and injustice results. As Albert Einstein once penned “As far as the laws of mathematics refer to reality, they are not certain, as far as they are certain, they do not refer to reality.”
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
Scan this QR mark into your phone to get bonus information on Control Charting
In a series of posts, I am going to introduce the reader to the existence of ISO 17025 and its importance. I am going to introduce it in bite-sized bits for easy digestion. Just like all matters of learning, knowledge is incremental over time and builds upon previous exposure.
So far we have answered the following questions:
In this post we examine how ASCLD/LAB International conflicts with ISO 17025 and honest scientific reporting of Uncertainty Measurement (UM) in forensic science.
Section 5.3 (Accommodations and environmental conditions) requires a full documentation into the environmental and other testing accommodations of the laboratory to identify potential sources of error and variance to validate that the analytical devices and the personnel involved in the area where the analytical devices are used are sufficiently free from environmentally caused error and yields valid testing results suitable for its intended purpose. Although it is up to the laboratory to establish a policy, procedure, and instructions to meet Section 5.3, these requirements include a full accounting into such heretofore possibly ignored sources of potential error that includes, but is not limited to, “biological sterility, dust, electromagnetic disturbances, radiation, humidity, electrical supply, temperature, and sound and vibration levels.” It also requires a laboratory to monitor, control and record these environmental conditions that may change within the laboratory and may influence the quality of the results.
Perhaps the most fundamental change in the way ISO 17025 laboratories will be conducting their testing and calibration services if they seek and obtain ISO 17025 accreditation comes with the implementation of Section 5.4 (Test and calibration methods and method validation)[i].
Uncertainty Measurments in Forensic Science
It is beyond the scope of this blog post to include the contributions of Theodore “Ted” Vosk in this work concerning ISO 17025[ii]. I have also blogged on basic metrology and Uncertainty Measurement (UM). They include:
A schematic of a basic definition of Uncertainty Measurment (UM)
While a tremendous amount of emphasis could be placed and should be placed on UM and whether or not the laboratory’s version of UM is frequentist or Bayesian in nature, Section 5.4 provides additional useful information in the requirement that the method to be employed must indeed be validated.
Although there is a common misperception among lawyers and even among laboratory managers that ISO 17025 provides a method of validation specific to the forensic science disciplines, this is not the case. Instead the requirement of 5.4.5 is for the laboratory to have documentation that includes specifically how it is determined that a given method is to be applied and that its instructions as well as its procedures are in fact validated as promulgated and used. This is to include limitations on the assay to be performed.
This could be very useful for the criminal law practitioner, for example, in the case of solid drug dose examination and determination. It is possible that within the laboratory’s own documents there could be a damaging admission of its inability to determine and discriminate between positional isomers and chiral compounds[iv]. During the validation process, although not specifically outlined in ISO 17025, at a minimum, the following should be addressed by the laboratory:
matrix effects,
sample homogeneity,
specificity,
demonstrated range of linearity,
precision,
interfering substances,
stability of targets,
population distribution, and
measurement uncertainty.
It is acceptable per ISO 17025 to use reliable, published, and commercially available information to establish each parameter so long as after the implementation of the validated process, it is effectively monitored while it remains in place. If there is deviation from the reliable, published, and commercially available information upon which the method relies, then it is required that the laboratory recognize that the previous method was producing inappropriate results and therefore embark upon a new process of validation that will insure that the process employed and the methodology is one that is indeed suitable for its intended purpose.
Of additional practical use to us is Section 5.6 and specifically Section 5.6.2.1.1. It holds that the laboratories, when they construct a calibration curve or do other types of calibration of the instrument that can contribute to the uncertainty, must properly document the measurement traceability of those reference standards to the classic measurement item (i.e., the International System of Units (SI)) or in the case of items that cannot be strictly made in SI units such as in the case of drugs and DNA profiles, these reference materials are to be traceable to an appropriate measurement standard.
There is a distinction between reference standards and reference materials as outlined in Section 5.6.2. While one cannot certify street cocaine (and hence would be a reference material), one can certify Certified Reference Materials (CRM’s or SRMs) (reference standards). ASCLD/LAB in its interpretation and granting of ISO 17025 accreditation takes Section 5.6 to an additional safeguard step in that it requires that whatever calibration service provider is used by a laboratory must be ISO 17025 accredited.
Another potential source of uncertainty that is addressed by ISO 17025 is the distinction that is made regarding the equipment itself. Section 5.5 requires the laboratory to have a method to identify and classify its instruments that are used throughout the process. There is a distinction between class 1, class 2, and class 3 instruments that is important for the practitioner to be aware of so as to be able to determine whether or not the very best scientific process was employed and whether or not the best calibration of the equipment was undertaken. Per ASCLD/LAB’s interpretation of ISO 17025, Class 3 instruments are the only type of instruments whose calibration service providers do not need to be ISO 17025 compliant per ASCLD/LAB. It is required of the laboratories to not only state that the calibration service providers are ISO 17025 accredited but that they be able to prove through documentation the competence, the traceability, and the measuring ability of the service provider especially if it is not ISO 17025 accredited.
Perhaps the single biggest area of potential uncertainty and one of the most useful to expose remains an undeclared potential source for erroneous results. It is encapsulated and addressed in Section 5.7 (Sampling). In all analytical measurements the analytical device very seldom weighs and/or measures the entire sample as it organically exists[v]. Therefore, only a very small part of the whole, called an aliquot or aliquant, is actually tested by any analytical device. As a result, it becomes crucial and vitally necessary for the laboratory to ensure homogeneity in the aliquot or aliquant tested. Right now, shockingly, most laboratories do not have a written policy or procedure or instructions that addresses this.
Sampling versus sample selection
It is this crucial difference between sampling versus sample selection that needs to be exposed by all of us. In essence, what happens in the laboratory when an aliquot is prepared is to exercise a massive amount of truly subjective discretion by selecting a “pinch of this” or a “section of that” from the whole unknown sample submitted for examination. It is clear that by doing such, even with a policy, procedure and instruction in place, massive representation errors with respect to non-colloidal mixtures can occur. Sample selection in the case of trace evidence, for example, per ISO 17025 Section 5.7 would require a written policy, procedure, and instruction that is universally enforced, implemented and monitored by the laboratory down to the technicians at the bench as to which hairs or fibers out of many or what part of a stain to swath and examine, for example. This is an example of sample selection. This is to be distinguished from sampling itself wherein there must be a written policy, procedure, and instructions to make sure that homogeneity of a sample, in fact, exists. A fine example of this would be blood and blood alcohol sampling. Without assurance of homogeneity in such a sample random sampling error is introduced and inaccurate results may be reported. Per ISO 17025 and ASCLD/LAB, there must be rigorous training as well as a plan and procedure in place for sample selection as well as sampling. If one were to obtain the policy, for example, of either sampling or sample selection, then there could and should be some very useful language contained that admits to this very fundamental source of subjectiveness and identifies sampling and sample selection as a large potential source of error.
From strictly a scientific aspect, perhaps one of the disappointments in the promulgation of ISO 17025 is in Section 5.8. Section 5.8 concerns the proper handling of specimens, which in our application is the seized evidence. In only a few words, it states generalities of how the evidence is to be handled and how the items are tested. There is very little guidance and requirements as to this in the ISO 17025 document. There only needs to be a procedure in place per ISO 17025. ASCLD/LAB has rightfully taken the position that this is a crucial part of the crime laboratory analysis and therefore dedicates an additional two and a half pages of requirements in its “International” program.
In Section 5.9 we find that there must be a procedure as to the assuring of the quality of the reported results. While not directly offering or even suggesting such a method, one possible process and methodology that could be used is properly called “control charting.” Control charting is a graphical and empirical statistical tool used to detect excessive process variability to try to identify specific assignable causes that can be corrected. It serves to determine whether a process is in a state of statistical control; that is, the extent of variation of the output of the process does not exceed that which is expected based on the natural statistical variability of the process[vi]. Control charting is a great way to identify the source of statistical outliers where a machine can get pulled, an environment checked or an inappropriate operator stopped or re-trained[vii].
labeling of a control chart
In Section 5.10.1 we can find language that has a great possibility of abuse. Per Section 5.10.1:
The results of each test, calibration, or series of tests or calibrations carried out by the laboratory shall be reported accurately, clearly, unambiguously and objectively, and in accordance with any specific instructions in the test or calibration methods.
The results shall be reported, usually in a test report or calibration certificate, and shall include all the information requested by the customer and necessary for the interpretation of the test or calibration results and all information required by the method used.
Why do forensic scientists get to ignore the facts as they scientifically exist and present their own version of it in the courtroom?
Regardless of ASCLD/LAB’s interpretation of this section, there is hope in that in Section 5.10.1 and in 5.10.4, we find language that states clearly that it is a requirement that any information not listed on the Test Report “shall be readily available in the laboratory” and therefore should be accessible to all.
[i] Typical forensic applications and disciplines that involve measurement science include: toxicology including a Blood Alcohol Content (BAC) testing; mass determination; drug purity; and distance to muzzle just to name a few. There are also other measuring disciplines that report measurement and therefore fall under the new requirements of ISO 17025 and include: trigger pull; barrel lengths; atomic absorption spectrophotometry (AAS) and inductively coupled plasma-atomic emission spectrometry (ICP-AES) analysis of gunshot residue; refractive indexing; microscopic dimensional analysis; and DNA.
[ii] The leading criminal defense attorney who has been successfully litigating the lack of UM reporting in analytical measurements when presented in the courtroom is Attorney Theodore “Ted” Vosk of Washington State. Attorney Vosk has published on the concepts of UM. Forensic Metrology: A Primer on Scientific Measurement for Lawyers, Judges, and Forensic Scientists; Edited by Ted Vosk, Ashley F. Emery; http://www.taylorandfrancis.com/books/details/9781439826195/
[iii] Critical quantitative UM concerns will address the following concepts:
The identification and evaluation of all sources of potential error,
The identification of significance of identical uncertainties must be evaluated in the uncertainty budget, and
The establishing and close monitoring of results near critical values
[iv] Isomers are compounds that possess the same empirical formula, but are different in structure. Cathine, which is not a controlled substance, will likely be mis-identified as its diastereomer, Phenylpropanolamine, which is a controlled substance, when solely a Gas Chromatograph with Mass Spectrometer (GC-MS) is utilized. While methamphetamine is a schedule II controlled substance, the l-enantiomer of methamphetamine is found in the Vick’s Inhaler, which is a product exempted from control. Similarly, γ-Hydroxybutyrate (GHB) and γ-Butyrolactone (GBL) can be indistinguishable on some GC-MS. γ-Hydroxybutyrate is a Schedule I controlled substance that cannot be possessed legally. γ-Butyrolactone, on the other hand, may be possessed and only becomes illegal if “intended for human consumption”.
[v] For example, in solid drug dose testing using Gas Chromatography with Mass Spectrometry as the detector, this issue becomes very patent. In the lab, the technician starts with the whole sample, then a small portion of the whole is removed that one hopes in representative of the whole. Next, a solvent is typically applied such as methanol, ethanol or dichloromethane to derivative the sample that results in dilution of the original item. An autosampler is employed that takes one microliter which is one millionth of a liter of this derivatized or chemically altered and diluted sample to inject it into the injector port. Typically, a split injector configuration is used that results in a very, very small part of the microliter making it to the column with the remainder being vented out, not to be analyzed. Of this very, very small amount that makes it onto the column to be separated into hopefully unique analytes, only 1% or 2% of this separated material is ionized in the Mass Spectrometer to be further fragmented. With the typical scan level of between 40–400 times per second results that in a condition that in order for the analyte to be detected at all a time frame of only 1/360th occurs where all of these conditions can be met is to record a result at all.
[vi] Every process has some inherent variability due to random factors over which there is no control and which cannot be eliminated economically.
[vii] As can be the case, a lab’s stated but unproven error of +/- x stated to xx% of confidence (really a predictive interval) can grossly understate reality as later empirically established once control charting and other measures per ISO 17025 are implemented. Once the controls and processes per ISO 17025 are in place, labs may be able to identify sources of profound error. Then after the immediate triage is completed to identify and end the source of the error, then training and personnel could be selectively fired or up-trained to reduce error and therefore tightening the coverage factor thereby causing it to be 8, 9, 10 or more sigma to get to the critical measure.
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
Ok. Anyone who knows me, has read this blog for a while or has seen me speak knows I love to use movies as transferable concepts to try to explain supposedly complicated scientific concepts.
What can the 1985 classic movie “Fletch” teach us about method validation?
Just like when “Gordo” said in the above clip“Awww, come on guys, it’s so simple. Maybe you need a refresher course. [leans arm on hot engine part] Hey! It’s all ball bearings nowadays..”,
We say to the lab people “Awww, come on guys, it’s so simple. Maybe you need a refresher course… Hey! It’s all validation nowadays.”
Method validation has received considerable attention in the literature and from industrial committees and regulatory agencies.
The U.S. FDACGMP (1) request in section 211.165 (e) methods to be validated: The accuracy, sensitivity, specificity, and reproducibility of test methods employed by the firm shall be established and documented. Such validation and documentation may be accomplished in accordance with Sec. 211.194(a). These requirements include a statement of each method used in testing the sample to meet proper standards of accuracy and reliability, as applied to the tested product. The U.S. FDA has also proposed an industry guidance for Analytical Procedures and Methods Validation (2).
ISO/IEC 17025 includes a chapter on the validation of methods (3) with a list of nine validation parameters. The ICH (4) has developed a consensus text on the validation of analytical procedures. The document includes definitions for eight validation characteristics. ICH also developed a guidance with detailed methodology (5).
The U.S. EPA prepared a guidance for method’s development and validation for the Resource Conservation and Recovery Act (RCRA) (6). The AOAC, the EPA and other scientific organizations provide methods that are validated through multi-laboratory studies.
Here is the whole point and my logic proof…
1. I assume that there is a truly scientifically validated and robust method for the analysis undertaken in the forensic lab. (To be sure of the usefulness of their analysis, we want to examine the lab’s validation studies so as to not make this basic assumption. Otherwise, what’s the point… Without this basic principle satisfied that there is a valid method, the lab should not be performing tests)
2. Universally, if one follows the validated method and only if one religiously follows the validated method with no deviation, we get a valid result that is true (or more correctly put as valid and as true a result as scientifically possible)
3. The converse of that is not 100% true. If we deviate from the validated method in some way or in any way, we MAY get a true result or we MAY not. We don’t know without studying the impact of that deviation. We do know that the deviation has caused the result to be not a validated result. Not an invalid result, but rather a result that is not validated according to the valid method.
4. As most of the validation studies begin with “Take the filled 10mL grey tube top….” This would connote that the method was created using precisely that a “filled 10mL grey tube top”. It is the raw material, if you will. It is like a condition precedent.
5. If you do not have the condition precedent (i.e., the 10mL grey tube top), then you are missing a part of the validated conditions and you have by definition a deviation from the validated method.
6. Ergo, you have a result that is not validated and may or may not be valid and may or may not be true.
The tutorial is based upon the book Validation and Qualification in Analytical Laboratories, published by Infoma in 2007 which I highly recommend as the easiest and best resource that I have come across that explains the importance of method validation, the method of establishing a validated method, the consequences of method validation and the consequences of deviating from the validated method.
DEFINITIONSUSEDINTHISPOST:
Invalid: proven to be not valid, not the same as “not validated” as “not validated” means that it may be valid or it may be invalid.
True: the value that characterizes a quantity perfectly in the conditions that exist when that quantity is considered. It is an ideal value, which could be arrived at only if all causes of uncertainty (Type A error and Type B error) are eliminated.
Type A error: a method of evaluation by statistical analysis of a series of observations.
Type B error: anything that is not Type A error; a method of evaluation by any means other than statistical analysis of a series of observations.
Valid: documented proof that the process undertaken is suitable for its intended use and achieves the intended reported result correctly and uniquely as free from possible from issues of precision and bias as possible.
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
I have blogged before on metrology and Uncertainty Measurement (UM). Even the mighty International Standard, ISO 17025, in Section 5.4.6 only applies the concept of UM to the quantitative measure and hence results not a true expression of the Bayesian-based expanded uncertainty budget. In order to do so, it must also must be an expression of the uncertainty in the qualitative measure as well to be truly metrologically responsible.
In another post I asked and examined the key question of:
The importance of identifying and establishing the Type I and Type II error in Bayesian-based metrology is that if done correctly, it can result in discovering the true “power” of the assay.
Type I and Type II errors are inversely related: As one increases, the other decreases. The Type I, or α (alpha), error rate is usually set in advance by the researcher. The Type II error rate for a given test is harder to know because it requires estimating the distribution of the alternative hypothesis, which is usually unknown.
Power is the probability that a test will reject the null hypothesis when it is, in fact, false. You can see from the below figure, power is simply 1 minus the Type II error rate (β). High power is desirable. Like β, power can be difficult to estimate accurately, but increasing the sample size always increases power.
Power of the assay
Boiling point.…
Assume that we were to use boiling point to distinguish between unknown substances. The boiling points are normally distributed with a mean of 480 degrees and a standard deviation of 5 degrees, and the boiling points of a counterfeit substance are normally distributed with a mean of 465 degrees and a standard deviation of 7 degrees. Assume also that 90% of the substances are genuine, hence 10% are counterfeit.
What is the probability that a randomly chosen genuine substance has a boiling point more than 475 grains?
What is the probability that a randomly chosen counterfeit substance has a boiling point more than 475 grains?
What is the probability that a randomly chosen substance has a boiling point more than 475 degrees and is genuine?
What is the probability that a randomly chosen substance has a boiling point more than 475 degrees and is counterfeit?
What is the probability that a randomly chosen substance which has a boiling point more than 475 degrees is genuine?
These and more are the questions that need to be answered in forensic science. What is the power of your assay? Stop reporting analytical chemistry as single number and as an absolute!
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
As I have blogged before every assay has its limitations. There is no such thing as a perfect test.
I have blogged before on metrology and Uncertainty Measurement (UM). Even the mighty International Standard, ISO 17025, in Section 5.4.6 only applies the concept of UM to the quantitative measure and to the quantitative measure alone. Hence, this standard results not in a true expression of the Bayesian-based expanded uncertainty budget, but instead only part of it. In order to do so, to report full Bayesian-based expanded uncertainty budget, it must also must be an expression of the uncertainty in the qualitative measure as well to be truly metrologically responsible.
I ponder openly here with all of you the following: what is the use of expressing uncertainty in the quantitative result if we are not as scientifically sure as possible of what we in fact measuring?
Can any of you answer that for me?
In forensic science, we put the cart before the horse
It is really the story of specificity versus selectivity.
The International Union of Pure and Applied Chemistry (IUPAC), which is the world authority on chemical nomenclature, terminology, standardized methods for measurement, atomic weights and other critically evaluated data and others have defined the difference between these often confused terms as follows:
A specific reaction or test is one that occurs only with the substance of interest, while a selective reaction or test is one that can occur with other substances but exhibits a degree of preference for the substance of interest. Few reactions are specific, but many “exhibit selectivity”.
Other common definitions include:
Selectivity gives an indication of how strongly the result is affected by other components in the sample.
and also
Selectivity refers to the extent to which the method can be used to determine particular analytes in mixtures or matrices without interferences from other components of similar behavior.
A selective test may be not a specific test due to cross-reactivity, interference, or codetermination.
There has been some remarkable research in trying to quantify and precisely express the uncertainty in the qualitative measure.
Some attempts have been made in the literature to quantify selectivity (and even specificity). These include:
Massart et al. discussed both qualitative and quantitative aspects of selectivity and specificity. This approach involves quantification of a sensitivity factor matrix, K, involving n sensor responses for m components.
Otto and Wegscheider compared different procedures to obtain figures of merit for the judgment of the selectivity of methods for multicomponent analysis.
Lorber et al. have used the concept of net analyte signal and selectivity defined in terms of loss of signal due to spectral overlap in multivariate calibrations with some degree of success.
In the Courtroom, where certainty and relevant proof is demanded, we need to insist not just on Uncertainty Measurement in terms of quantitative matters, but also in qualitative matters.
____
Hat tip to Josh Lee, Esquire for his contribution to this blog post.
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
In our prior post, CRMs: Reference materials and standards, we saw how the library is important in analytical chemistry. It enables the analyst to compare the unknown to a known to arrive at an opinion that is often expressed as a conclusion. We saw that there are many different commercial sources for these libraries. In fact, some systems allow the analyst to exercise his/her discretion in employing his/her own standards as opposed to the commercially available ones that are CRMs.
Electron Ionization (EI) based Mass Spectrometry has been so fantastically removed from the base of the science, that it has been simplified to accommodate the masses. In the modern crime lab, it has been reduced to simple computer-assisted pattern recognition.
Sadly gone are the days of acid-based chemistry to elucidate mass spectral patterns. Instead, just let the computer do it. Computers are never, wrong are they?
This is what one of the NIST 08 library screenshot looks like:
Science has been reduced to computer-assisted pattern recognition
But what if it is not a traceable source? What if it is not a perfect match meaning 100% probability? As we can see from this screenshot there is a list of probabilities.
What a minute! You mean there is a possibility that it is not the analyte of interest?
There is a judgment call that is made even in GC/MS.
At what probability percentage, does the analyst get to call it a specific compound to the exclusion of all others
Why are state scientists allowed to come in and present a conclusion that is really an opinion that an unknown is definitely a known substance? Why aren’t court’s forcing the truth be presented? Why the cover up?
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
Before we had blogged on the importance of metrology and uncertainty reporting as well as advancing (or rather inching) towards ISO 17025. Part of the integrity of any sort of testing of unknowns has to do with the veracity of the sources of knowns against which the unknowns are compared. For if we do not have certainty in our knowns and our references, then there cannot be any confidence in our conclusions of the analysis of unknowns.
In a well-run forensic lab this need for certified and true standards or knowns is solved by using something that is called Certified Reference Materials (CRMs). The International Standards Organization (ISO) has established guides to govern CRMs. These include:
ISO Guide 35: 1989 — Certification of reference materials — General and statistical principles
ISO Guide 31: 2000 — Contents of certificates & labels of reference materials
ISO Guide 33: 1989 — Uses of certified reference materials
ISO Guide 34: 2000 — General requirements for the competence of reference material producers
NIST provides a service that includes over 1300 Standard Reference Materials ® or SRMs. There is also the NIST 08 library which replaces the NIST 05 library.
NIST 08 is not just a mass spectral library. It contains these components:
(UPDATED) MS/MS library — 14,802 spectra of 5,308 precursor ions (3,898 cations and 1,410 anions).
(UPDATED) Gas Chromatography (GC) data library — 224,038 Kovats retention index values for 21,847 compounds in the EI library, now on both polar and non-polar columns. Includes retention indices with GC column conditions and literature citations.
(UPDATED) NISTMS Search software — software for searching (identifying) compounds from their mass spectra and for browsing mass spectral libraries. Also includes MS interpretation programs for analyzing mass spectra on the basis of chemical structure, molecular formula, isotopic patterns, and more.
(UPDATED) AMDIS software — software for deconvoluting gas/liquid chromatograms
(UPDATED) Documentation — Approximately 50 page printed and electronic manual on setup and basic usage. Additional information is in the help files.
Libraries are formatted the binary format suitable for use alone or by the NISTMS Search software (and AMDIS). Additional instrument-specific formats (e.g., Agilent ChemStation) are available separately to permit library searching directly within the GC/MS or LC/MS data system.
NIST offers Standard Reference Materials
Another source of CRMs are:
COMAR, which has nearly 11,ooo CRMs from about 220 producers in 25 countries,
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
While a lot has been made about the National Institute of Standards and Technology (NIST) traceable standards and NIST’s own reporting of uncertainty. There is a large mistake that has developed even among well-credentialed scientists in that NIST-based and reported expressions of Uncertainty Measurement (UM) are the be all and end all of the conversation and constitutes Bayesian-based expanded uncertainty reporting.
It is not.
This misconception is not unlike Plato’s allegory of the cave as written in The Republic:
NIST traceable based uncertainty is only the beginning of the expanded Bayesian based metrology
In The Republic the ancient Greek philosopher Plato uses the Allegory of the Cave to explain the limitations of perception versus objective reality. In this construct he asks the reader to imagine a group of people who have lived chained in a cave all of their lives, facing a blank wall without the ability to turn around or change the direction of their gaze. Behind them a fire rages. These prisoners watch year in and year out the shadows projected on the wall. They see the fluttering images as time goes by as people and objects pass in front of a fire behind them. Naturally, they are limited in their world view and as such they begin to ascribe forms to these shadows and make certain assumptions about the world within which they live. Sometimes they are right, but most times they are wrong due to their extremely limited ability to directly view objective reality. According to Plato, the shadows are as close as the prisoners get to see and experience objective reality. Later the prisoners are released from their bondage to experience for the first time the world free of limitations and the narrowness of their world view. Their earlier incorrect perceptions are revealed. Plato then explains how the reader is like a prisoner who is freed from the cave and comes to understand that the shadows on the wall are not the extent of reality at all, as the prisoner and the reader now can perceive the true form of reality rather than the mere shadows seen by the prisoners.
In addition to the uncertainty indicated by NIST, other uncertainties are inherent in the instrument, associated with the method or protocol in using the instrument, with the operator of the instrument, and with the physical environment (pressure, temperature, humidity, etc.) in which the measurements are made. Thus, the measurements made with the calibrated instruments or artifacts by organizations outside of NIST have total uncertainty budgets associated with them, only one component of which is the uncertainty reported to them by NIST.
About the author
Justin J. McShane
Harrisburg DUI attorneyJustin J. McShane is the President/CEO of The McShane Firm, LLC - Pennsylvania's top criminal law and DUI law firm. He is the highest rated DUI attorney in PA as rated by Avvo.com. Justin McShane is a double Board certified attorney. He is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc. He is also a Board Certified Criminal Trial Advocate by the National Board of Trial Advocacy, a Pennsylvania Supreme Court Approved Agency.
Justin McShane is the first and so far the only Pennsylvania attorney to achieve American Bar Association recognized board certification in DUI defense from the National College for DUI Defense, Inc.
Forensics expert and Pennsylvania DUI attorney Justin J. McShane presents an ongoing forensic science reference for DUI lawyers and criminal defense attorneys.
Attorney McShane is the Chairman/CEO of The McShane Firm, Pennsylvania's top DUI law office. Located in Harrisburg, PA, The McShane Firm specializes in using forensic science to defend citizens accused of a crime.