Lecture 3 The metrological providing of the quantitative chemical analysis ass. N.I. Burmas.

Slides:



Advertisements
Similar presentations
Standardized Scales.
Advertisements

Analytical Method Development and Validation
Design of Experiments Lecture I
Errors in Chemical Analyses: Assessing the Quality of Results
Sections 7-1 and 7-2 Review and Preview and Estimating a Population Proportion.
Confidence Intervals This chapter presents the beginning of inferential statistics. We introduce methods for estimating values of these important population.
Errors & Uncertainties Confidence Interval. Random – Statistical Error From:
World Health Organization
Quality Assurance.
Uncertainty analysis is a vital part of any experimental program or measurement system design. Common sources of experimental uncertainty were defined.
1 Marketing Research Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides.
QUALITY CONTROL OF PHYSICO-Chemical METHODS Introduction :Validation توثيق المصدوقية.
Assistant of the pharmaceutical chemistry department Burmas Nataliya Ivanivna Physical methods of analysis: classification.
Quality Assurance.
Validation of Analytical Method
Annex I: Methods & Tools prepared by some members of the ICH Q9 EWG for example only; not an official policy/guidance July 2006, slide 1 ICH Q9 QUALITY.
Copyright 2008 © Silliker, All Rights Reserved Interpretation of Lab Results What am I buying? What does it mean? What do I do with it?
Statistical inference: confidence intervals and hypothesis testing.
DOE – An Effective Tool for Experimental Research
Development of An ERROR ESTIMATE P M V Subbarao Professor Mechanical Engineering Department A Tolerance to Error Generates New Information….
The following minimum specified ranges should be considered: Drug substance or a finished (drug) product 80 to 120 % of the test concentration Content.
Virtual COMSATS Inferential Statistics Lecture-6
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 9 Section 1 – Slide 1 of 39 Chapter 9 Section 1 The Logic in Constructing Confidence Intervals.
Marketing Research Aaker, Kumar, Day Seventh Edition Instructor’s Presentation Slides.
Basic Business Statistics, 11e © 2009 Prentice-Hall, Inc. Chap 8-1 Confidence Interval Estimation.
1 Chapter 6. Section 6-1 and 6-2. Triola, Elementary Statistics, Eighth Edition. Copyright Addison Wesley Longman M ARIO F. T RIOLA E IGHTH E DITION.
Population All members of a set which have a given characteristic. Population Data Data associated with a certain population. Population Parameter A measure.
Introduction to Analytical Chemistry Dr M. Abd-Elhakeem Faculty of Biotechnology General Chemistry Lecture 7.
Chapter 7 Item Analysis In constructing a new test (or shortening or lengthening an existing one), the final set of items is usually identified through.
Metrology Adapted from Introduction to Metrology from the Madison Area Technical College, Biotechnology Project (Lisa Seidman)
Chapter 5 Errors In Chemical Analyses Mean, arithmetic mean, and average (x) are synonyms for the quantity obtained by dividing the sum of replicate measurements.
Quality Control Lecture 5
Statistical Methods II&III: Confidence Intervals ChE 477 (UO Lab) Lecture 5 Larry Baxter, William Hecker, & Ron Terry Brigham Young University.
Gile Sampling1 Sampling. Fundamental principles. Daniel Gile
Determination of Sample Size: A Review of Statistical Theory
Sections 7-1 and 7-2 Review and Preview and Estimating a Population Proportion.
Academic Research Academic Research Dr Kishor Bhanushali M
CHEMISTRY ANALYTICAL CHEMISTRY Fall
Question paper 1997.
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Estimates and Sample Sizes Chapter 6 M A R I O F. T R I O L A Copyright © 1998,
Metrology for Chemical Analysis
 A Characteristic is a measurable description of an individual such as height, weight or a count meeting a certain requirement.  A Parameter is a numerical.
1 Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Example: In a recent poll, 70% of 1501 randomly selected adults said they believed.
Descriptive Statistics
Lab Skills Recap Biotech II. Metrology Vocabulary Unit of measurement Accuracy Precision Standards Calibration Verification Traceability Tolerance Errors.
Wenclawiak, B.: Fit for Purpose – A Customers View© Springer-Verlag Berlin Heidelberg 2003 In: Wenclawiak, Koch, Hadjicostas (eds.) Quality Assurance in.
Lecture №4 METHODS OF RESEARCH. Method (Greek. methodos) - way of knowledge, the study of natural phenomena and social life. It is also a set of methods.
LECTURE 13 QUALITY ASSURANCE METHOD VALIDATION
Most everyday matter occurs as mixtures—combinations of two or more substances. Section 3: Mixtures of Matter K What I Know W What I Want to Find Out L.
 Routine viral diagnostics: indirect and direct detection of viruses. ◦ Indirect detection: serological tests; ◦ Direct detection:  Viral antigens;
Marketing Research Aaker, Kumar, Day and Leone Tenth Edition Instructor’s Presentation Slides 1.
1 Analytical Forensic Metrology Analytical Forensic Metrology 4 th International Conference on Forensic Research & Technology September 29, 2015 Jerry.
CORRELATION-REGULATION ANALYSIS Томский политехнический университет.
Chapter 1: The Nature of Analytical Chemistry
SEMINAR ON PRESENTED BY BRAHMABHATT BANSARI K. M. PHARM PART DEPARTMENT OF PHARMACEUTICS AND PHARMACEUTICAL TECHNOLGY L. M. COLLEGE OF PHARMACY.
Томск, ТПУ, ИГНД, ГЭГХ1 Methods of radioactive ores and minerals investigation Volostnov Alexander Valerievich.
Home Reading Skoog et al. Fundamental of Analytical Chemistry. Chapters 5 and 6.
THEORY OF SAMPLING MMEA Certainty Seminar Markku Ohenoja 1 Markku Ohenoja / Control Engineering Laboratory
ESTIMATION.
Lecture8 Test forcomparison of proportion
Elementary Statistics
Practical clinical chemistry
This teaching material has been made freely available by the KEMRI-Wellcome Trust (Kilifi, Kenya). You can freely download,
Analytical Method Validation
Random sampling Carlo Azzarri IFPRI Datathon APSU, Dhaka
Chapter 1: The Nature of Analytical Chemistry
Lecture # 2 MATHEMATICAL STATISTICS
Introduction To Medical Technology
Lecture Slides Elementary Statistics Twelfth Edition
Quality Assessment The goal of laboratory analysis is to provide the accurate, reliable and timeliness result Quality assurance The overall program that.
Presentation transcript:

Lecture 3 The metrological providing of the quantitative chemical analysis ass. N.I. Burmas

Outline 1. The basic metrological descriptions of an analysis. 2. The statistical processing results of an analysis. 3. The methods valuation of regularity of an analysis. 4. The metrological providing of quantitative chemical analysis. videovideo - Design of Experiments video VideoVideo - How to calculate relative error Video

1. The basic metrological descriptions of an analysis. The basic metrologic descriptions method of analysis belong:  regularity;  producibility;  the coefficient of sensitiveness;  the limit of exposure;  lower and upper limits of determination;  selectivity.

2. The statistical processing results of an analysis.  The selection is an aggregate statistically equivalent of results. The sequence of processing: 1.Verification on the presence of rough errors by of Q-test: х 1, х 2, х 3, х 4,…х n-1, x n. 1 x n x 1n x n x.exper. Q; 1 x n x 1 x 2 x. Q       

 If Q exper.  Q critical, then the result of determination it costs to leave for subsequent consideration  If Q exper.  Q theoret., then the result of determination needs to throw off.

The theoretical values Q-test at the different probabilities n Q 0,90 Q 0,95 30,940,94 40,760,77 50,640,64 60,560,56n Q 0,90 Q 0,95 70,510,51 80,470,48 90,440,44 100,410,42

2. Calculation the middle arithmetic to the result of measurements: 3. Calculation of the middle square deviation:

4. Calculate the dispersion of selection S 2 5. Calculation of the confidence interval

The comparison selections of results of an analysis The criterion of Fisher: 1. Calculation the dispersion of different series of measurements and 2. Calculation the experimental criterion of Fisher (must be S 1 2  S 2 2 ) exper. S S F 

If F exper.  F theoret, than the difference between dispersions is insignificant, it is possible to estimate difference between and. If F exper.  F theoret, than the difference between dispersions is insignificant, it is possible to estimate difference between and.

Criterion of Student 1. Calculation of the weighed dispersion of two selections: 2. Calculation of the experimental value the coefficient of Student:  If t  table.  t  exper., then consider that and it is possible to unite two series of results and conduct one statistical processing.. nn nn S хх t exper.     

3. The methods valuation of regularity of an analysis.  the method of standard specimens;  the method of change mass of the known quantity of the determined substance;  the method of addition of the known quantity of the determined substance (the systematic error is proportional to content of the determined substance Δх = b  х)  the method of change of method analysis

4. The metrological providing of the quantitative chemical analysis. The chemical method has: 1.Metrological descriptions  regularity;  producibility;  the boundary of exposure;  lower and upper boundaris of determination ;  selectivity;  sensitivity; 2. Technical descriptions:  the possibility of automation;  distance control;  expressivity;  energocapacity;

The analytical signals:  one-components (atomic-absorbcion spectroscopy)  many-components (sweepable spectrophotometry) The analytical signals : 1.integral 2.differential:  on the form (differential spectrophotometry) ;  on the nature (gas chromatography with two columns, two-radiation spectrophotometer,).

The specific of chemical analysis : 1. Measured simultaneously often enough the few quantities - contentses. That is why at first of all there is procedure of authentication with the use of standards. 2. The measuring is carried by indirect personality: measured not quite number of particles, and certain parameters in the chemical, physical and chemical and physical methods of analysis. 3. An analysis is complicated by the mutual- couplings of components.

The basic stages and the source errors of chemical analysis 1. The selection of middle (satis factory) sample. 2. The translation is in a form, comfortable for an analysis:  previous enriching  chemical processing  often the special preparation of surface 3. The dividing of components sample is into separate groups.

The basic stages and the source errors of chemical analysis 4. The translation determined of component in an analytically active form. 5. The determination is measuring of physical property. 6. An evaluation content of determined component is on the calibration chart or the calibration dependence, the calculation of a formula.

The basic stages and the source errors of chemical analysis 7. Calculation and evaluation of reliability results of an analysis. 8. The analysis (logical and mathematical) of the got results and work of recommendations for optimization of chemical analysis.

4. The metrological providing of the quantitative chemical analysis (QChA). The scientific basis of the metrological providing of quantitative chemical analysis are theoretical and methodical positions of a metrology and the analytical chemistry.

The metrological providing of QChA includes for it self the next types of works: 1)establishment of the norms errors of results of QChA; 2)recreation and transmission of the sizes units of physical sizes, which characterize composition of substances or their properties which are functionally related with composition of these substances ; 3)the development of standard specimens, attested mixtures, standard reference information and recommended standard information.

The metrological providing of QChA includes for it self the next types of works: 4) the providing of the same type uses is in QChA of means measurings at development, to the issue in an appeal, exploitation and repair and their the accordance; 5) the standard charts or other normative documents; 6) the providing methods of QChA of fulfilment necessary of the metrological requirements; 7) the metrological control of QChA.

The metrological providing of QChA includes for it self the next types of works: 8) development complex of normative documents, positions, rules on providing of necessary exactness of results of QChA; 9) the state supervision and known control after the status of QChA, including metrological attestation of the analytical laboratories.

The metrological control of QChA is conducted by: the inside-laboratory control of exactness results of QChA on procedure, regulated in the methodical of the inside-laboratory control of exactness results of QChA on procedure, regulated in the methodical of QChA ; QChA ; the inside-laboratory statistical control of exactness of the results of QChA on procedure, regulated in the particular branch spheres on the control exactness of results of QChA; the inside-laboratory statistical control of exactness of the results of QChA on procedure, regulated in the particular branch spheres on the control exactness of results of QChA; an external control the quality of work analytical laboratories on procedure, regulated in the particular branch documents on a control of the exactness results of QChA and the documents of a national standard. an external control the quality of work analytical laboratories on procedure, regulated in the particular branch documents on a control of the exactness results of QChA and the documents of a national standard.

Thanks you for attention !