SlideShare a Scribd company logo
1 of 37
1
1
Analytical Chemistry
CHEM 241
•
‫المساق‬ ‫وصف‬
(
‫الدليل‬ ‫حسب‬
:)
،‫التحليلية‬ ‫الكيمياء‬ ‫في‬ ‫األساسية‬ ‫المفاهيم‬
‫والمفاهيم‬
‫األحم‬ ‫يشمل‬ ‫والذي‬ ‫الكيميائي‬ ‫لالتزان‬ ‫العامة‬
‫اض‬
‫والحجمي‬ ‫الوزني‬ ‫التحليل‬ ‫أسس‬ ،‫والقواعد‬
‫ومعايرات‬ ‫والقواعد‬ ‫ض‬ ‫األحما‬ ‫ومعايرات‬
‫ومعايرات‬ ،‫المعقدات‬ ‫ومعايرات‬ ،‫الترسيب‬
‫المعتمدة‬ ‫التحليل‬ ‫وطرق‬ ،‫واالختزال‬ ‫األكسدة‬
‫على‬
‫الكهربائية‬ ‫الخواص‬
.
2
•
‫للمساق‬ ‫العامة‬ ‫األهداف‬
)
‫المساق‬ ‫مخرجات‬ ‫أو‬
:(
•
‫الكيمي‬ ‫التحليل‬ ‫في‬ ‫النظرية‬ ‫األساسية‬ ‫المهارات‬ ‫امتالك‬
‫ائي‬
‫تقييم‬ ‫ذلك‬ ‫في‬ ‫بما‬ ، ‫التقليدي‬
‫بطريقة‬ ‫البيانات‬ ‫ومعالجة‬
‫التحلي‬ ‫طرق‬ ‫على‬ ‫التعرف‬ ، ‫مناسبة‬ ‫وإحصائية‬ ‫حسابية‬
‫ل‬
‫كل‬ ‫عليها‬ ‫يقوم‬ ‫التي‬ ‫النظرية‬ ‫واألسس‬ ‫والحجمي‬ ‫الوزني‬
‫عمل‬ ‫ومجال‬ ‫الكواشف‬ ‫من‬ ‫المختلفة‬ ‫األنواع‬ ‫دراسة‬ ، ‫منهما‬
‫الم‬ ‫فيها‬ ‫بما‬ ‫المختلفة‬ ‫المحاليل‬ ‫تحضير‬ ، ‫منها‬ ‫نوع‬ ‫كل‬
‫حاليل‬
‫سبق‬ ‫ما‬ ‫لكل‬ ‫الكيميائية‬ ‫والحسابات‬ ‫المنظمة‬
.
3
4
• Course Contents :
• Introduction and data handling
• Stoichiometric calculations
• General equilibrium concepts
• Gravimetric analysis
• Acid Base Equilibria
• Acid Base Titrations
• Complexometric titrations
• Precipitation titrations
• Oxidation reduction reactions and titrations
• Electrochemical cells and Electrode potentials
•
‫المساق‬ ‫تدريس‬ ‫أسلوب‬
:
‫األحيان‬ ‫بعض‬ ‫في‬ ‫والنقاش‬ ‫المحاضرة‬
‫المساق‬ ‫مراجع‬
:
‫أ‬
.
‫الرئيس‬ ‫المرجع‬
:
Analytical Chemistry, 2004, Gary D. Christian, 6th Ed.
‫ب‬
.
‫اإلضافية‬ ‫المراجع‬
:
1. Analytical Chemistry, Principles and Techniques, Larry Hargis,
Prentice Hall.
2. Arts and Science of Chemical Analysis, Christie Enke, Wiley
and Sons.
3. Principles of Analytical Chemistry, Miguel Valcarcel, Springer.
4. Fundamentals of Analytical Chemistry, Skoog, Holler, and
West, Brooks/Cole
5
6
6
Areas of Chemical Analysis
and Questions They Answer
Quantitation:
How much of substance X is in the sample?
Detection:
Does the sample contain substance X?
Identification:
What is the identity of the substance in the sample?
Separation:
How can the species of interest be separated from
the sample matrix for better quantitation and
identification?
7
7
Chapter 1: Introduction
This course is a quantitative course
where you have seen some qualitative
analysis in general Chemistry Lab and
will also encounter the topic in other
classes.
In addition, Analytical Chemistry can be
classified as Instrumental or Classical
(wet Chemistry).
8
8
In this course, we will cover the classical
methods of Chemical Analysis. However, it
should not be implied that the term
classical means something old, which is
studied like history,
but rather the term means understanding the
basics of Chemical Analysis that were
eventually laid down long time ago.
Some of the classical methods still serve as
the standard methods of analysis, till now.
9
9
The analytical process involves a sequence of
logical events including:
1. Defining the problem
This means that the analyst should know what
information is required, the type and
amount of sample, the sensitivity and
accuracy of the results, the analytical
method which can be used to achieve these
results, etc...
10
10
2. Obtaining a representative sample
It is very important to collect a
representative sample for analysis. This
could be appreciated if, for example, an
ore is to be analyzed to decide whether
the ore concentration in a mine or
mountain can be economically produced.
One should take several samples from
different locations and depths, mix them
well and then take a sample for analysis.
11
11
3. Preparing the sample for analysis
Most analytical methods require a solution of the
sample rather than the solid. Therefore, samples
should be dissolved quantitatively and may be
diluted to the concentration range of the method.
4. Chemical separations
The sample may contain solutes which interfere with
the determination of the analyte. If this is the case,
analytes should be separated from the sample
matrix by an accepted procedure.
12
12
5. Performing the measurement
This implies conducting the analytical
procedure and collecting the required data.
6. Calculations
The final event in the analytical process is to
perform the calculations and present the
results in an acceptable manner.
13
13
RANGE
The size of the sample can be used to describe
the class of a method where:
A method can be described as meso if the sample
size is above 100 mg or 100 microliters.
A semimicro method describes a sample size from
10 to 100 mg or 50 to 100 microliters.
When the sample size is in the 1 to 10 mg or less
than 50 microliters, the method is said to be a
micro method
A sample size less than 1 mg denotes an
ultramicro method.
14
14
An analyte in a sample can be classified as a
major constituent if it constitutes more than 1%
of the sample or a minor in the range from 0.1 to
1.0 %. It is classified as trace if it constitutes less
than 0.1%.
Analyze versus Determine
These terms are sometimes misused. Always use
the term ‘analyze’ with the sample while use the
term ‘determine’ with specific analyte. Therefore,
a sample is “analyzed”, while an analyte is
“determined”.
15
15
Chapter 2
Data Handling
16
16
Accuracy and Precision
Accuracy can be defined as the degree of
agreement between a measured value and
the true or accepted value. As the two values
become closer, the measured value is said to
be more accurate.
Precision is defined as the degree of
agreement between replicate measurements
of the same quantity.
17
17
Assuming the correct or accepted value is
represented by the center of the circles below;
If all values occurred close together within, for
example, the red or blue circles, results are
precise but not accurate.
If all values occurred within the yellow circle,
results are both accurate and precise.
If results were scattered randomly in one direction
of the center, results are neither precise nor
accurate.
18
18
19
19
Example
The weight of a person was measured five times
using a scale. The reported weights were 84, 83,
84, 85, and 84 kg. If the weight of the person is
76 kg weighed on a standard scale , then we
know that the results obtained using the first
scale is definitely not accurate.
However, the values of the weights for the five
replicate measurements are very close and
reproducible. Therefore measurements are
precise. Therefore, the measurement is precise
but definitely not accurate.
20
20
Math With Significant Figures
Addition and Subtraction
In mathematical operations involving significant figures, the
answer is reported in such a way that it reflects the
reliability of the least precise operation. Let's state that
another way: a chain is no stronger than its weakest link.
An answer is no more precise that the least precise
number used to get the answer. Let's do it one more
time: imagine a team race where you and your team
must finish together. Who dictates the speed of the
team? Of course, the slowest member of the team.
Your answer cannot be MORE precise than the least
precise measurement.
21
21
For addition and subtraction, look at the decimal
portion (i.e., to the right of the decimal point) of
the numbers ONLY. Here is what to do:
1) Count the number of significant figures in the
decimal portion of each number in the problem.
(The digits to the left of the decimal place are not
used to determine the number of decimal places
in the final answer.)
2) Add or subtract in the normal fashion.
3) Round the answer to the LEAST number of
places in the decimal portion of any number in
the problem.
22
22
Find the formula weight for Ag2MoO4 given the
following atomic weights: Ag = 107.870, Mo =
95.94, O = 15.9994.
The number with the least number of digits after
the decimal point is 95.94 which has two digits
for expression of precision. Also, it is the number
with the highest uncertainty. The atomic weights
for Ag and O have 3 and 4 digits after the
decimal point. Therefore if we calculate the
formula weight we will get 375.6776. However,
the answer should be reported as 375.68 ( i.e. to
the same uncertainty of the least precise value.
23
23
Multiplication and Division
The number having the least number of
significant figures is called the KEY
NUMBER. The LEAST number of significant
figures in any number of the problem
determines the number of significant figures
in the answer.
In case where two or more numbers have the
same number of significant figures, the key
number is determined as the number of the
lowest value regardless of decimal point.
24
Note that: When the uncertainty of a number is not
known, the uncertainty is assumed to be +-1 of the
last digit to the right
25
25
2.5 x 3.42 = ?
The answer to this problem would be 8.6
(which was rounded from the calculator
reading of 8.55). Why?
2.5 is the key number which has two
significant figures while 3.42 has three.
Two significant figures is less precise
than three, so the answer has two
significant figures.
26
27
Relative uncertainty in key number = ( +1/25) = +0.04
Now find the absolute uncertainty in answer:
(8.55/25) = 0.342
Therefore, the uncertainty in the answer should be
known to one decimal point. The answer can be
written as 8.6 + 0.3. The relative uncertainty in
answer can now be calculated:
Srel = (+0.342/8.6) = +0.04
The relative uncertainty in answer is the same as
that of the key number, which should be the
case.
28
28
2.33 x 6.085 x 2.1= ? How many significant
figures should be in the answer?
Answer - two.
Which is the key number?
Answer - the 2.1
Why?
It has the least number of significant figures in
the problem. It is, therefore, the least precise
measurement.
Answer = 30.
29
Relative uncertainty in key number = ( +1/21) = +0.048
Now find the absolute uncertainty in answer:
(29.77/21) = 1.4
Therefore, the absolute uncertainty in the answer
should be known to integers.
The answer can be written as 30. + 1. The relative
uncertainty in answer can now be calculated:
Srel = (+1/30.) = +0.033
The relative uncertainty in answer is close to that of
the key number, which should be the case.
30
30
How many significant figures will the
answer to 3.10 x 4.520 = (Calculator
gives 14.012) have?
3.10 is the key number which has three
significant figures.
Three is supposed to be the correct
answer. 14.0 has three significant
figures. Note that the zero in the tenth's
place is considered significant. All
trailing zeros in the decimal portion are
considered significant.
31
31
Another common error is for the student to
think that 14 and 14.0 are the same thing.
THEY ARE NOT. 14.0 is ten times more
precise than 14. The two numbers have the
same value, but they convey different
meanings about how trustworthy they are.
However, the correct answer should be
reported as 14.01. Note that an additional
significant figure is included in the answer.
This is because the answer is less than the
key number.
32
Relative uncertainty in key number = ( +1/310) =
+3.2*10-3
Now find the absolute uncertainty in answer:
(14.012/310) = 0.0452
Therefore, the absolute uncertainty in the answer
should be known to one hundredth. The answer can
be written as 14.01 + 0.05. The relative uncertainty
in answer can now be calculated:
Srel = (+0.05/14.01) = +3.5*10-3
The relative uncertainty in answer is very close to that
of the key number, which should be the case.
33
33
Why do we add an additional significant
figure in the answer when the answer is
less than the key number?
The answer to this question simply is to
reduce the uncertainty associated with
the answer. When the answer is less
than the key number, the uncertainty
associated with the answer is
unjustifiably large.
34
34
(4.52 x 10-4) ÷ (3.980 x 10-6).
How many significant figures in the answer?
Answer - three.
Which is the key number?
Answer - the 4.52 x 10-4.
Why?
It has the least number of significant figures in the
problem. It is, therefore, the least precise
measurement. Notice it is the 4.52 portion that plays
the role of determining significant figures; the
exponential portion plays no role. However, since
the answer is less than the key number, an
additional significant figure is used and written as a
subscript.
Answer = 113.6
35
Relative uncertainty in key number = ( +1/452) =
+2.2*10-3
Now find the absolute uncertainty in answer:
(113.568/452) = 0.251
Therefore, the uncertainty in the answer should be
known to one decimal point. The absolute
uncertainty in the answer is therefore +0.3. The
answer can be written as 113.6 + 0.3. The relative
uncertainty in answer can now be calculated:
Srel = (+0.3/113.6) = +2.6*10-3
The relative uncertainty in answer is very close to that
of the key number, which should be the case.
36
36
4.20x3.52 =
Which is the key number?
Both have 3 significant figures. In this case,
the number with smaller value, regardless of
the decimal point, is the key number (3.52).
The correct answer should be reported as
14.78
Once again, we have added an additional
significant figure as a subscript since the
answer is less than the key number
37
Uncertainty in key number = ( +1/352) = +2.84*10-3
Now find the absolute uncertainty in answer :
(14.784/352) = 0.042
Therefore, the absolute uncertainty in the answer
should be known to one hundredth. The absolute
uncertainty in the answer is therefore +0.042. The
answer can be written as 14.78 + 0.04. The
relative uncertainty in answer can now be
calculated:
Srel = (+0.042/14.78) = +2.84*10-3
The relative uncertainty in answer is the same as that
of the key number, which should be the case.

More Related Content

What's hot

Atomic absorption spectroscopy
Atomic absorption spectroscopyAtomic absorption spectroscopy
Atomic absorption spectroscopyRAHEELA Khan
 
Spectroscopic methods in Inorganic Chemistry
Spectroscopic methods in Inorganic ChemistrySpectroscopic methods in Inorganic Chemistry
Spectroscopic methods in Inorganic ChemistryChris Sonntag
 
Aas presentation
Aas presentationAas presentation
Aas presentationSharan Kaur
 
Applications of raman spectroscopy
Applications of raman spectroscopyApplications of raman spectroscopy
Applications of raman spectroscopykaavyabalachandran
 
Coulometry.pptx presentation assignment copy
Coulometry.pptx presentation assignment   copyCoulometry.pptx presentation assignment   copy
Coulometry.pptx presentation assignment copyKibetDerrick
 
Lecture 06; atomization by Dr. Salma Amir
Lecture 06; atomization by Dr. Salma AmirLecture 06; atomization by Dr. Salma Amir
Lecture 06; atomization by Dr. Salma Amirsalmaamir2
 
6. Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...
6.	Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...6.	Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...
6. Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...wadhava gurumeet
 
XRF Theory and Application
XRF Theory and ApplicationXRF Theory and Application
XRF Theory and ApplicationSirwan Hasan
 
Electron paramagnetic resonance(epr) spectroscopy
Electron paramagnetic resonance(epr) spectroscopyElectron paramagnetic resonance(epr) spectroscopy
Electron paramagnetic resonance(epr) spectroscopyHalavath Ramesh
 
Photoacoustic Spectroscopy
Photoacoustic SpectroscopyPhotoacoustic Spectroscopy
Photoacoustic SpectroscopyDeepak Rajput
 
Accuracy and precision
Accuracy and precisionAccuracy and precision
Accuracy and precisionmsali_aphs
 
Graphite furnace atomic absorption spectroscopy
Graphite furnace atomic absorption spectroscopyGraphite furnace atomic absorption spectroscopy
Graphite furnace atomic absorption spectroscopyAnuradha Verma
 
Shaun Bock AP chemistry review - copy
Shaun Bock AP chemistry review - copyShaun Bock AP chemistry review - copy
Shaun Bock AP chemistry review - copyShaunBock
 

What's hot (20)

Atomic absorption spectroscopy
Atomic absorption spectroscopyAtomic absorption spectroscopy
Atomic absorption spectroscopy
 
Electrogravimetry
ElectrogravimetryElectrogravimetry
Electrogravimetry
 
Ppt arsenic poisoning
Ppt arsenic poisoningPpt arsenic poisoning
Ppt arsenic poisoning
 
Spectroscopic methods in Inorganic Chemistry
Spectroscopic methods in Inorganic ChemistrySpectroscopic methods in Inorganic Chemistry
Spectroscopic methods in Inorganic Chemistry
 
Aas presentation
Aas presentationAas presentation
Aas presentation
 
Applications of raman spectroscopy
Applications of raman spectroscopyApplications of raman spectroscopy
Applications of raman spectroscopy
 
Redox reactions
Redox reactionsRedox reactions
Redox reactions
 
Coulometry.pptx presentation assignment copy
Coulometry.pptx presentation assignment   copyCoulometry.pptx presentation assignment   copy
Coulometry.pptx presentation assignment copy
 
Lecture 06; atomization by Dr. Salma Amir
Lecture 06; atomization by Dr. Salma AmirLecture 06; atomization by Dr. Salma Amir
Lecture 06; atomization by Dr. Salma Amir
 
ATOMIC ABSORPTION SPECTROSCOPY
ATOMIC ABSORPTION SPECTROSCOPYATOMIC ABSORPTION SPECTROSCOPY
ATOMIC ABSORPTION SPECTROSCOPY
 
6. Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...
6.	Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...6.	Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...
6. Simultaneous determination of Cr(VI) and Mn(VII) in a mixture spectrophoto...
 
XRF Theory and Application
XRF Theory and ApplicationXRF Theory and Application
XRF Theory and Application
 
Electron paramagnetic resonance(epr) spectroscopy
Electron paramagnetic resonance(epr) spectroscopyElectron paramagnetic resonance(epr) spectroscopy
Electron paramagnetic resonance(epr) spectroscopy
 
wet digestion
wet digestionwet digestion
wet digestion
 
Photoacoustic Spectroscopy
Photoacoustic SpectroscopyPhotoacoustic Spectroscopy
Photoacoustic Spectroscopy
 
Initial rate method
Initial rate methodInitial rate method
Initial rate method
 
Accuracy and precision
Accuracy and precisionAccuracy and precision
Accuracy and precision
 
Graphite furnace atomic absorption spectroscopy
Graphite furnace atomic absorption spectroscopyGraphite furnace atomic absorption spectroscopy
Graphite furnace atomic absorption spectroscopy
 
Shaun Bock AP chemistry review - copy
Shaun Bock AP chemistry review - copyShaun Bock AP chemistry review - copy
Shaun Bock AP chemistry review - copy
 
Ms 1
Ms 1Ms 1
Ms 1
 

Similar to Data-Handling part 1 .ppt

Chapter 3.pptx
Chapter 3.pptxChapter 3.pptx
Chapter 3.pptxmahamoh6
 
VCE Physics: Dealing with numerical measurments
VCE Physics: Dealing with numerical measurmentsVCE Physics: Dealing with numerical measurments
VCE Physics: Dealing with numerical measurmentsAndrew Grichting
 
Basic Concepts of Chemistry.pdf
Basic Concepts of Chemistry.pdfBasic Concepts of Chemistry.pdf
Basic Concepts of Chemistry.pdfWill
 
Chapter 4(1).pptx
Chapter 4(1).pptxChapter 4(1).pptx
Chapter 4(1).pptxmahamoh6
 
general chemistry ch1
general  chemistry ch1general  chemistry ch1
general chemistry ch1muhannad amer
 
Penggambaran Data Secara Numerik
Penggambaran Data Secara NumerikPenggambaran Data Secara Numerik
Penggambaran Data Secara Numerikanom1392
 
General-Physics-1-Week-1-ppt.pptx
General-Physics-1-Week-1-ppt.pptxGeneral-Physics-1-Week-1-ppt.pptx
General-Physics-1-Week-1-ppt.pptxAliceRivera13
 
General Physics 1 Week 1 ppt.pptxxxxxxxx
General Physics 1 Week 1 ppt.pptxxxxxxxxGeneral Physics 1 Week 1 ppt.pptxxxxxxxx
General Physics 1 Week 1 ppt.pptxxxxxxxxAliceRivera13
 
statistics-for-analytical-chemistry (1).ppt
statistics-for-analytical-chemistry (1).pptstatistics-for-analytical-chemistry (1).ppt
statistics-for-analytical-chemistry (1).pptHalilIbrahimUlusoy
 
Minimization of errors, accuracy, precission, significant figures.
Minimization of errors, accuracy, precission, significant figures.Minimization of errors, accuracy, precission, significant figures.
Minimization of errors, accuracy, precission, significant figures.Nidhi Sharma
 
Diploma sem 2 applied science physics-unit 1-chap 2 error s
Diploma sem 2 applied science physics-unit 1-chap 2 error sDiploma sem 2 applied science physics-unit 1-chap 2 error s
Diploma sem 2 applied science physics-unit 1-chap 2 error sRai University
 
Module 3 statistics
Module 3   statisticsModule 3   statistics
Module 3 statisticsdionesioable
 
Mathematics - Computer Science - Natural Sciences.pdf
Mathematics - Computer Science - Natural Sciences.pdfMathematics - Computer Science - Natural Sciences.pdf
Mathematics - Computer Science - Natural Sciences.pdfManhQuyenNguyen
 

Similar to Data-Handling part 1 .ppt (20)

Chapter 3.pptx
Chapter 3.pptxChapter 3.pptx
Chapter 3.pptx
 
Factorial Experiments
Factorial ExperimentsFactorial Experiments
Factorial Experiments
 
VCE Physics: Dealing with numerical measurments
VCE Physics: Dealing with numerical measurmentsVCE Physics: Dealing with numerical measurments
VCE Physics: Dealing with numerical measurments
 
Basic Concepts of Chemistry.pdf
Basic Concepts of Chemistry.pdfBasic Concepts of Chemistry.pdf
Basic Concepts of Chemistry.pdf
 
Chapter 4(1).pptx
Chapter 4(1).pptxChapter 4(1).pptx
Chapter 4(1).pptx
 
general chemistry ch1
general  chemistry ch1general  chemistry ch1
general chemistry ch1
 
Some Basics Concepts of Chemistry
Some Basics Concepts of ChemistrySome Basics Concepts of Chemistry
Some Basics Concepts of Chemistry
 
Penggambaran Data Secara Numerik
Penggambaran Data Secara NumerikPenggambaran Data Secara Numerik
Penggambaran Data Secara Numerik
 
9618821.ppt
9618821.ppt9618821.ppt
9618821.ppt
 
9618821.pdf
9618821.pdf9618821.pdf
9618821.pdf
 
General-Physics-1-Week-1-ppt.pptx
General-Physics-1-Week-1-ppt.pptxGeneral-Physics-1-Week-1-ppt.pptx
General-Physics-1-Week-1-ppt.pptx
 
General Physics 1 Week 1 ppt.pptxxxxxxxx
General Physics 1 Week 1 ppt.pptxxxxxxxxGeneral Physics 1 Week 1 ppt.pptxxxxxxxx
General Physics 1 Week 1 ppt.pptxxxxxxxx
 
statistics-for-analytical-chemistry (1).ppt
statistics-for-analytical-chemistry (1).pptstatistics-for-analytical-chemistry (1).ppt
statistics-for-analytical-chemistry (1).ppt
 
Lecture 3&4
Lecture 3&4Lecture 3&4
Lecture 3&4
 
Lecture 3&4
Lecture 3&4Lecture 3&4
Lecture 3&4
 
Minimization of errors, accuracy, precission, significant figures.
Minimization of errors, accuracy, precission, significant figures.Minimization of errors, accuracy, precission, significant figures.
Minimization of errors, accuracy, precission, significant figures.
 
Diploma sem 2 applied science physics-unit 1-chap 2 error s
Diploma sem 2 applied science physics-unit 1-chap 2 error sDiploma sem 2 applied science physics-unit 1-chap 2 error s
Diploma sem 2 applied science physics-unit 1-chap 2 error s
 
Parametric Statistics
Parametric StatisticsParametric Statistics
Parametric Statistics
 
Module 3 statistics
Module 3   statisticsModule 3   statistics
Module 3 statistics
 
Mathematics - Computer Science - Natural Sciences.pdf
Mathematics - Computer Science - Natural Sciences.pdfMathematics - Computer Science - Natural Sciences.pdf
Mathematics - Computer Science - Natural Sciences.pdf
 

More from AhmadHashlamon

02slidLarge value of face area Large value of face area
02slidLarge value of face area Large value of face area02slidLarge value of face area Large value of face area
02slidLarge value of face area Large value of face areaAhmadHashlamon
 
kinectic_and_drug_stability microemulsions
kinectic_and_drug_stability microemulsionskinectic_and_drug_stability microemulsions
kinectic_and_drug_stability microemulsionsAhmadHashlamon
 
04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...
04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...
04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...AhmadHashlamon
 
skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...
skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...
skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...AhmadHashlamon
 
microemulsions microemulsions microemulsions microemulsions
microemulsions microemulsions microemulsions microemulsionsmicroemulsions microemulsions microemulsions microemulsions
microemulsions microemulsions microemulsions microemulsionsAhmadHashlamon
 
Herbal_Medicine_Developmggggffgfent.pptx
Herbal_Medicine_Developmggggffgfent.pptxHerbal_Medicine_Developmggggffgfent.pptx
Herbal_Medicine_Developmggggffgfent.pptxAhmadHashlamon
 
performulation studies.pptx
performulation studies.pptxperformulation studies.pptx
performulation studies.pptxAhmadHashlamon
 
Oxidation-Reduction-Reactions-and-Titrations.ppt
Oxidation-Reduction-Reactions-and-Titrations.pptOxidation-Reduction-Reactions-and-Titrations.ppt
Oxidation-Reduction-Reactions-and-Titrations.pptAhmadHashlamon
 
Complexometric-Titrations part 2.ppt
Complexometric-Titrations part 2.pptComplexometric-Titrations part 2.ppt
Complexometric-Titrations part 2.pptAhmadHashlamon
 
Data-Handling part 2.ppt
Data-Handling part 2.pptData-Handling part 2.ppt
Data-Handling part 2.pptAhmadHashlamon
 
1 Precipitation-titrations.ppt
1 Precipitation-titrations.ppt1 Precipitation-titrations.ppt
1 Precipitation-titrations.pptAhmadHashlamon
 
Complexometric-Titrations part 1.ppt
Complexometric-Titrations part 1.pptComplexometric-Titrations part 1.ppt
Complexometric-Titrations part 1.pptAhmadHashlamon
 
Acid-Base-Equilibria.ppt
Acid-Base-Equilibria.pptAcid-Base-Equilibria.ppt
Acid-Base-Equilibria.pptAhmadHashlamon
 
General-Equilibrium-Concepts.ppt
General-Equilibrium-Concepts.pptGeneral-Equilibrium-Concepts.ppt
General-Equilibrium-Concepts.pptAhmadHashlamon
 
Stoichiometric-calculations part 2.ppt
Stoichiometric-calculations part 2.pptStoichiometric-calculations part 2.ppt
Stoichiometric-calculations part 2.pptAhmadHashlamon
 
Stoichiometric-calculations part 1.ppt
Stoichiometric-calculations part 1.pptStoichiometric-calculations part 1.ppt
Stoichiometric-calculations part 1.pptAhmadHashlamon
 

More from AhmadHashlamon (20)

02slidLarge value of face area Large value of face area
02slidLarge value of face area Large value of face area02slidLarge value of face area Large value of face area
02slidLarge value of face area Large value of face area
 
kinectic_and_drug_stability microemulsions
kinectic_and_drug_stability microemulsionskinectic_and_drug_stability microemulsions
kinectic_and_drug_stability microemulsions
 
04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...
04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...
04slidemicroemulsions microemulsions microemulsions microemulsions microemuls...
 
skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...
skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...
skeletal musclemicroemulsions microemulsions microemulsions microemulsions mi...
 
microemulsions microemulsions microemulsions microemulsions
microemulsions microemulsions microemulsions microemulsionsmicroemulsions microemulsions microemulsions microemulsions
microemulsions microemulsions microemulsions microemulsions
 
Herbal_Medicine_Developmggggffgfent.pptx
Herbal_Medicine_Developmggggffgfent.pptxHerbal_Medicine_Developmggggffgfent.pptx
Herbal_Medicine_Developmggggffgfent.pptx
 
C13NMR 2.pptx
C13NMR 2.pptxC13NMR 2.pptx
C13NMR 2.pptx
 
Clothes fiber.pptx
Clothes fiber.pptxClothes fiber.pptx
Clothes fiber.pptx
 
performulation studies.pptx
performulation studies.pptxperformulation studies.pptx
performulation studies.pptx
 
introduction.pptx
introduction.pptxintroduction.pptx
introduction.pptx
 
chapter_3_part_1.pptx
chapter_3_part_1.pptxchapter_3_part_1.pptx
chapter_3_part_1.pptx
 
Oxidation-Reduction-Reactions-and-Titrations.ppt
Oxidation-Reduction-Reactions-and-Titrations.pptOxidation-Reduction-Reactions-and-Titrations.ppt
Oxidation-Reduction-Reactions-and-Titrations.ppt
 
Complexometric-Titrations part 2.ppt
Complexometric-Titrations part 2.pptComplexometric-Titrations part 2.ppt
Complexometric-Titrations part 2.ppt
 
Data-Handling part 2.ppt
Data-Handling part 2.pptData-Handling part 2.ppt
Data-Handling part 2.ppt
 
1 Precipitation-titrations.ppt
1 Precipitation-titrations.ppt1 Precipitation-titrations.ppt
1 Precipitation-titrations.ppt
 
Complexometric-Titrations part 1.ppt
Complexometric-Titrations part 1.pptComplexometric-Titrations part 1.ppt
Complexometric-Titrations part 1.ppt
 
Acid-Base-Equilibria.ppt
Acid-Base-Equilibria.pptAcid-Base-Equilibria.ppt
Acid-Base-Equilibria.ppt
 
General-Equilibrium-Concepts.ppt
General-Equilibrium-Concepts.pptGeneral-Equilibrium-Concepts.ppt
General-Equilibrium-Concepts.ppt
 
Stoichiometric-calculations part 2.ppt
Stoichiometric-calculations part 2.pptStoichiometric-calculations part 2.ppt
Stoichiometric-calculations part 2.ppt
 
Stoichiometric-calculations part 1.ppt
Stoichiometric-calculations part 1.pptStoichiometric-calculations part 1.ppt
Stoichiometric-calculations part 1.ppt
 

Recently uploaded

M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.Aaiza Hassan
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Serviceritikaroy0888
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxWorkforce Group
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesDipal Arora
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Roland Driesen
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Dave Litwiller
 
Pharma Works Profile of Karan Communications
Pharma Works Profile of Karan CommunicationsPharma Works Profile of Karan Communications
Pharma Works Profile of Karan Communicationskarancommunications
 
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...lizamodels9
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsP&CO
 
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...amitlee9823
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyEthan lee
 
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...Lviv Startup Club
 
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756dollysharma2066
 
Famous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st CenturyFamous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st Centuryrwgiffor
 
7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...Paul Menig
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...lizamodels9
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756dollysharma2066
 
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptxB.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptxpriyanshujha201
 

Recently uploaded (20)

M.C Lodges -- Guest House in Jhang.
M.C Lodges --  Guest House in Jhang.M.C Lodges --  Guest House in Jhang.
M.C Lodges -- Guest House in Jhang.
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Service
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptx
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...Ensure the security of your HCL environment by applying the Zero Trust princi...
Ensure the security of your HCL environment by applying the Zero Trust princi...
 
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
Enhancing and Restoring Safety & Quality Cultures - Dave Litwiller - May 2024...
 
Pharma Works Profile of Karan Communications
Pharma Works Profile of Karan CommunicationsPharma Works Profile of Karan Communications
Pharma Works Profile of Karan Communications
 
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
Russian Call Girls In Gurgaon ❤️8448577510 ⊹Best Escorts Service In 24/7 Delh...
 
Forklift Operations: Safety through Cartoons
Forklift Operations: Safety through CartoonsForklift Operations: Safety through Cartoons
Forklift Operations: Safety through Cartoons
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
 
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
 
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
Yaroslav Rozhankivskyy: Три складові і три передумови максимальної продуктивн...
 
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
 
Famous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st CenturyFamous Olympic Siblings from the 21st Century
Famous Olympic Siblings from the 21st Century
 
7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...7.pdf This presentation captures many uses and the significance of the number...
7.pdf This presentation captures many uses and the significance of the number...
 
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
Call Girls In DLf Gurgaon ➥99902@11544 ( Best price)100% Genuine Escort In 24...
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
 
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptxB.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
B.COM Unit – 4 ( CORPORATE SOCIAL RESPONSIBILITY ( CSR ).pptx
 

Data-Handling part 1 .ppt

  • 2. • ‫المساق‬ ‫وصف‬ ( ‫الدليل‬ ‫حسب‬ :) ،‫التحليلية‬ ‫الكيمياء‬ ‫في‬ ‫األساسية‬ ‫المفاهيم‬ ‫والمفاهيم‬ ‫األحم‬ ‫يشمل‬ ‫والذي‬ ‫الكيميائي‬ ‫لالتزان‬ ‫العامة‬ ‫اض‬ ‫والحجمي‬ ‫الوزني‬ ‫التحليل‬ ‫أسس‬ ،‫والقواعد‬ ‫ومعايرات‬ ‫والقواعد‬ ‫ض‬ ‫األحما‬ ‫ومعايرات‬ ‫ومعايرات‬ ،‫المعقدات‬ ‫ومعايرات‬ ،‫الترسيب‬ ‫المعتمدة‬ ‫التحليل‬ ‫وطرق‬ ،‫واالختزال‬ ‫األكسدة‬ ‫على‬ ‫الكهربائية‬ ‫الخواص‬ . 2
  • 3. • ‫للمساق‬ ‫العامة‬ ‫األهداف‬ ) ‫المساق‬ ‫مخرجات‬ ‫أو‬ :( • ‫الكيمي‬ ‫التحليل‬ ‫في‬ ‫النظرية‬ ‫األساسية‬ ‫المهارات‬ ‫امتالك‬ ‫ائي‬ ‫تقييم‬ ‫ذلك‬ ‫في‬ ‫بما‬ ، ‫التقليدي‬ ‫بطريقة‬ ‫البيانات‬ ‫ومعالجة‬ ‫التحلي‬ ‫طرق‬ ‫على‬ ‫التعرف‬ ، ‫مناسبة‬ ‫وإحصائية‬ ‫حسابية‬ ‫ل‬ ‫كل‬ ‫عليها‬ ‫يقوم‬ ‫التي‬ ‫النظرية‬ ‫واألسس‬ ‫والحجمي‬ ‫الوزني‬ ‫عمل‬ ‫ومجال‬ ‫الكواشف‬ ‫من‬ ‫المختلفة‬ ‫األنواع‬ ‫دراسة‬ ، ‫منهما‬ ‫الم‬ ‫فيها‬ ‫بما‬ ‫المختلفة‬ ‫المحاليل‬ ‫تحضير‬ ، ‫منها‬ ‫نوع‬ ‫كل‬ ‫حاليل‬ ‫سبق‬ ‫ما‬ ‫لكل‬ ‫الكيميائية‬ ‫والحسابات‬ ‫المنظمة‬ . 3
  • 4. 4 • Course Contents : • Introduction and data handling • Stoichiometric calculations • General equilibrium concepts • Gravimetric analysis • Acid Base Equilibria • Acid Base Titrations • Complexometric titrations • Precipitation titrations • Oxidation reduction reactions and titrations • Electrochemical cells and Electrode potentials •
  • 5. ‫المساق‬ ‫تدريس‬ ‫أسلوب‬ : ‫األحيان‬ ‫بعض‬ ‫في‬ ‫والنقاش‬ ‫المحاضرة‬ ‫المساق‬ ‫مراجع‬ : ‫أ‬ . ‫الرئيس‬ ‫المرجع‬ : Analytical Chemistry, 2004, Gary D. Christian, 6th Ed. ‫ب‬ . ‫اإلضافية‬ ‫المراجع‬ : 1. Analytical Chemistry, Principles and Techniques, Larry Hargis, Prentice Hall. 2. Arts and Science of Chemical Analysis, Christie Enke, Wiley and Sons. 3. Principles of Analytical Chemistry, Miguel Valcarcel, Springer. 4. Fundamentals of Analytical Chemistry, Skoog, Holler, and West, Brooks/Cole 5
  • 6. 6 6 Areas of Chemical Analysis and Questions They Answer Quantitation: How much of substance X is in the sample? Detection: Does the sample contain substance X? Identification: What is the identity of the substance in the sample? Separation: How can the species of interest be separated from the sample matrix for better quantitation and identification?
  • 7. 7 7 Chapter 1: Introduction This course is a quantitative course where you have seen some qualitative analysis in general Chemistry Lab and will also encounter the topic in other classes. In addition, Analytical Chemistry can be classified as Instrumental or Classical (wet Chemistry).
  • 8. 8 8 In this course, we will cover the classical methods of Chemical Analysis. However, it should not be implied that the term classical means something old, which is studied like history, but rather the term means understanding the basics of Chemical Analysis that were eventually laid down long time ago. Some of the classical methods still serve as the standard methods of analysis, till now.
  • 9. 9 9 The analytical process involves a sequence of logical events including: 1. Defining the problem This means that the analyst should know what information is required, the type and amount of sample, the sensitivity and accuracy of the results, the analytical method which can be used to achieve these results, etc...
  • 10. 10 10 2. Obtaining a representative sample It is very important to collect a representative sample for analysis. This could be appreciated if, for example, an ore is to be analyzed to decide whether the ore concentration in a mine or mountain can be economically produced. One should take several samples from different locations and depths, mix them well and then take a sample for analysis.
  • 11. 11 11 3. Preparing the sample for analysis Most analytical methods require a solution of the sample rather than the solid. Therefore, samples should be dissolved quantitatively and may be diluted to the concentration range of the method. 4. Chemical separations The sample may contain solutes which interfere with the determination of the analyte. If this is the case, analytes should be separated from the sample matrix by an accepted procedure.
  • 12. 12 12 5. Performing the measurement This implies conducting the analytical procedure and collecting the required data. 6. Calculations The final event in the analytical process is to perform the calculations and present the results in an acceptable manner.
  • 13. 13 13 RANGE The size of the sample can be used to describe the class of a method where: A method can be described as meso if the sample size is above 100 mg or 100 microliters. A semimicro method describes a sample size from 10 to 100 mg or 50 to 100 microliters. When the sample size is in the 1 to 10 mg or less than 50 microliters, the method is said to be a micro method A sample size less than 1 mg denotes an ultramicro method.
  • 14. 14 14 An analyte in a sample can be classified as a major constituent if it constitutes more than 1% of the sample or a minor in the range from 0.1 to 1.0 %. It is classified as trace if it constitutes less than 0.1%. Analyze versus Determine These terms are sometimes misused. Always use the term ‘analyze’ with the sample while use the term ‘determine’ with specific analyte. Therefore, a sample is “analyzed”, while an analyte is “determined”.
  • 16. 16 16 Accuracy and Precision Accuracy can be defined as the degree of agreement between a measured value and the true or accepted value. As the two values become closer, the measured value is said to be more accurate. Precision is defined as the degree of agreement between replicate measurements of the same quantity.
  • 17. 17 17 Assuming the correct or accepted value is represented by the center of the circles below; If all values occurred close together within, for example, the red or blue circles, results are precise but not accurate. If all values occurred within the yellow circle, results are both accurate and precise. If results were scattered randomly in one direction of the center, results are neither precise nor accurate.
  • 18. 18 18
  • 19. 19 19 Example The weight of a person was measured five times using a scale. The reported weights were 84, 83, 84, 85, and 84 kg. If the weight of the person is 76 kg weighed on a standard scale , then we know that the results obtained using the first scale is definitely not accurate. However, the values of the weights for the five replicate measurements are very close and reproducible. Therefore measurements are precise. Therefore, the measurement is precise but definitely not accurate.
  • 20. 20 20 Math With Significant Figures Addition and Subtraction In mathematical operations involving significant figures, the answer is reported in such a way that it reflects the reliability of the least precise operation. Let's state that another way: a chain is no stronger than its weakest link. An answer is no more precise that the least precise number used to get the answer. Let's do it one more time: imagine a team race where you and your team must finish together. Who dictates the speed of the team? Of course, the slowest member of the team. Your answer cannot be MORE precise than the least precise measurement.
  • 21. 21 21 For addition and subtraction, look at the decimal portion (i.e., to the right of the decimal point) of the numbers ONLY. Here is what to do: 1) Count the number of significant figures in the decimal portion of each number in the problem. (The digits to the left of the decimal place are not used to determine the number of decimal places in the final answer.) 2) Add or subtract in the normal fashion. 3) Round the answer to the LEAST number of places in the decimal portion of any number in the problem.
  • 22. 22 22 Find the formula weight for Ag2MoO4 given the following atomic weights: Ag = 107.870, Mo = 95.94, O = 15.9994. The number with the least number of digits after the decimal point is 95.94 which has two digits for expression of precision. Also, it is the number with the highest uncertainty. The atomic weights for Ag and O have 3 and 4 digits after the decimal point. Therefore if we calculate the formula weight we will get 375.6776. However, the answer should be reported as 375.68 ( i.e. to the same uncertainty of the least precise value.
  • 23. 23 23 Multiplication and Division The number having the least number of significant figures is called the KEY NUMBER. The LEAST number of significant figures in any number of the problem determines the number of significant figures in the answer. In case where two or more numbers have the same number of significant figures, the key number is determined as the number of the lowest value regardless of decimal point.
  • 24. 24 Note that: When the uncertainty of a number is not known, the uncertainty is assumed to be +-1 of the last digit to the right
  • 25. 25 25 2.5 x 3.42 = ? The answer to this problem would be 8.6 (which was rounded from the calculator reading of 8.55). Why? 2.5 is the key number which has two significant figures while 3.42 has three. Two significant figures is less precise than three, so the answer has two significant figures.
  • 26. 26
  • 27. 27 Relative uncertainty in key number = ( +1/25) = +0.04 Now find the absolute uncertainty in answer: (8.55/25) = 0.342 Therefore, the uncertainty in the answer should be known to one decimal point. The answer can be written as 8.6 + 0.3. The relative uncertainty in answer can now be calculated: Srel = (+0.342/8.6) = +0.04 The relative uncertainty in answer is the same as that of the key number, which should be the case.
  • 28. 28 28 2.33 x 6.085 x 2.1= ? How many significant figures should be in the answer? Answer - two. Which is the key number? Answer - the 2.1 Why? It has the least number of significant figures in the problem. It is, therefore, the least precise measurement. Answer = 30.
  • 29. 29 Relative uncertainty in key number = ( +1/21) = +0.048 Now find the absolute uncertainty in answer: (29.77/21) = 1.4 Therefore, the absolute uncertainty in the answer should be known to integers. The answer can be written as 30. + 1. The relative uncertainty in answer can now be calculated: Srel = (+1/30.) = +0.033 The relative uncertainty in answer is close to that of the key number, which should be the case.
  • 30. 30 30 How many significant figures will the answer to 3.10 x 4.520 = (Calculator gives 14.012) have? 3.10 is the key number which has three significant figures. Three is supposed to be the correct answer. 14.0 has three significant figures. Note that the zero in the tenth's place is considered significant. All trailing zeros in the decimal portion are considered significant.
  • 31. 31 31 Another common error is for the student to think that 14 and 14.0 are the same thing. THEY ARE NOT. 14.0 is ten times more precise than 14. The two numbers have the same value, but they convey different meanings about how trustworthy they are. However, the correct answer should be reported as 14.01. Note that an additional significant figure is included in the answer. This is because the answer is less than the key number.
  • 32. 32 Relative uncertainty in key number = ( +1/310) = +3.2*10-3 Now find the absolute uncertainty in answer: (14.012/310) = 0.0452 Therefore, the absolute uncertainty in the answer should be known to one hundredth. The answer can be written as 14.01 + 0.05. The relative uncertainty in answer can now be calculated: Srel = (+0.05/14.01) = +3.5*10-3 The relative uncertainty in answer is very close to that of the key number, which should be the case.
  • 33. 33 33 Why do we add an additional significant figure in the answer when the answer is less than the key number? The answer to this question simply is to reduce the uncertainty associated with the answer. When the answer is less than the key number, the uncertainty associated with the answer is unjustifiably large.
  • 34. 34 34 (4.52 x 10-4) ÷ (3.980 x 10-6). How many significant figures in the answer? Answer - three. Which is the key number? Answer - the 4.52 x 10-4. Why? It has the least number of significant figures in the problem. It is, therefore, the least precise measurement. Notice it is the 4.52 portion that plays the role of determining significant figures; the exponential portion plays no role. However, since the answer is less than the key number, an additional significant figure is used and written as a subscript. Answer = 113.6
  • 35. 35 Relative uncertainty in key number = ( +1/452) = +2.2*10-3 Now find the absolute uncertainty in answer: (113.568/452) = 0.251 Therefore, the uncertainty in the answer should be known to one decimal point. The absolute uncertainty in the answer is therefore +0.3. The answer can be written as 113.6 + 0.3. The relative uncertainty in answer can now be calculated: Srel = (+0.3/113.6) = +2.6*10-3 The relative uncertainty in answer is very close to that of the key number, which should be the case.
  • 36. 36 36 4.20x3.52 = Which is the key number? Both have 3 significant figures. In this case, the number with smaller value, regardless of the decimal point, is the key number (3.52). The correct answer should be reported as 14.78 Once again, we have added an additional significant figure as a subscript since the answer is less than the key number
  • 37. 37 Uncertainty in key number = ( +1/352) = +2.84*10-3 Now find the absolute uncertainty in answer : (14.784/352) = 0.042 Therefore, the absolute uncertainty in the answer should be known to one hundredth. The absolute uncertainty in the answer is therefore +0.042. The answer can be written as 14.78 + 0.04. The relative uncertainty in answer can now be calculated: Srel = (+0.042/14.78) = +2.84*10-3 The relative uncertainty in answer is the same as that of the key number, which should be the case.