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Analysis Pharmacy Method

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Anfisko I/3 Basic Principles of Analytical Methods
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    Anfisko I/3

    Basic Principles ofAnalytical Methods

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    Quiz

    Jelaskan hubungan antara pH dan ionisasi

    molekul obat, pH dan koefisien partisi

    Untuk tujuan apa sajakah perlu diketahuisifat sifat fisikakimia obat.

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    I. Classification of Analytical Methods

    Analytical chemistryis the science of identifying the

    components in a sample (qualitative analysis) and the

    relative amounts of each of the components (quantitative

    analysis). Generally a separation step is required to

    isolate the components in a sample prior to analysis.

    The methods used for analysis fall into two general

    classes: Classical Methods& Instrumental Methods.

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    I. Classification of Analytical Methods

    A. Classical MethodsCommonly referred to as wet chemistry.

    1. Separation of Analytes- common procedures include

    extraction, distillation,precipitation, filtration, etc.

    2. Quantitative Analysis- titration and gravimetric analysis.

    3. Qualitative Analysis- BP, MP, color, odor, density,

    reactivity, refractive index, etc.

    CH 321

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    I. Classification of Analytical Methods

    B. Instrumental Methods- exploit the physical properties of ananalyte to obtain qualitative andquantitative information.

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    I. Classification of Analytical MethodsB. Instrumental Methods

    1. Separation of Analytes- can be accomplished (dicapai) in

    two ways.

    a. Physical separation of analytesi. Chromatographygas or liquid (GC, LC)

    ii.Electrophoresisgel or capillary gel (GE, CGE)

    b.Spectroscopic separation of analytes Isolate the signal arising from the analyte by

    spectroscopy.

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    I. Classification of Analytical Methods.....

    B. Instrumental Methods.....

    2. Analysis Quantitative

    Ultraviolet-Visible spectrophotometry (UV-Vis)

    Atomic emission and absorption spectroscopy (AES, AAS)

    Conductivity (pH, ISE)

    3. Qualitative Analysis

    X-ray spectrometry

    Infrared spectroscopy (IR)

    Mass Spectrometry (MS)

    Nuclear magnetic resonance (NMR)

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    Electrical or

    Mechanical

    Signal

    Signal

    Generator

    Detector

    or

    Input Transducer

    Signal

    Processor

    Analytical

    SignalTransduced

    Signal

    Display Unit

    Chart RecorderDigital ReadoutComputer

    Digital Data Analog Data

    Meter

    II. Instrument Components

    EElleeccttrriiccaalloorr

    MMeecchhaanniiccaall

    SSiiggnnaall

    Signal

    Generator

    Detector

    or

    Input Transducer

    Signal

    Processor

    AAnnaallyyttiiccaall

    SSiiggnnaallTTrraannssdduucceedd

    SSiiggnnaall

    Display Unit

    or

    Output

    Transducer

    General Instrument Components

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    III. Selecting an Analytical Method

    A. Defining the Problem To determine the best method of analysis the analyst

    should ask the following questions.

    1.What accuracy is required?

    2.How much sample is available?

    3.What is the concentration range of the sample?

    4.Are there components in the sample that will cause

    interferences?

    6.How many samples are to be analyzed?

    5.What are the physical and/or chemical properties of

    the sample matrix?

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    III. Selecting an Analytical MethodB. Performance Characteristics & Figures of Merit

    Performance Characteristics- criteria used to compare

    which of several instrumental methods would be the best for

    a particular analysis.

    Figures of Merit- quantitative (numerical) measures of

    performance characteristics.

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    III. Selecting an Analytical MethodB. Performance Characteristics & Figures of Merit

    Performance Characteristics- criteria used to compare

    which of several instrumental methods would be the best for

    a particular analysis .

    Other performance characteristics to consider when choosing a method:

    1) Speed of analysis

    2) Ease & convenience (Kenyamanan)

    3) Operator skill level4) Cost and availability of equipment (instrumentation)

    5) Cost of analysis per sample

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    1. Precision-measure of the reproducibility of a set ofdeterminations.

    b) Coefficient of variation(CV)

    100x

    sCV

    Figures of Merit

    a) Estimated standard deviation (s)

    1

    1

    22

    2

    or

    NN

    xx

    sN

    xxs

    ii

    i

    xi= individual determination

    = mean value of determinations

    N= number of determinationsx

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    Example:Four students determine the concentration of chloride

    in a tap water sample and obtain the following results:

    Conc. of Cl-(ppm)

    153.6

    149.2

    158.5

    161.1

    Calculate the average concentration of chloride in the

    water sample, the estimated standard deviation in the

    concentration and the coefficient of variation.

    Is the determined concentration more precise than 256.2 7.8 ppm Cl-

    determined for another tap water sample using the same method?

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    0

    20

    40

    60

    80

    100

    0 0.2 0.4 0.6 0.8 1

    S

    ignal(S)

    Concentration (c)

    m2

    m1

    Sbl

    3. Sensitivity- the ability to discriminate (membedakan) betweensmall differences in analyte concentration.

    DSm1

    DC

    DSm2

    Figures of Merit

    S= signal or instrument response

    Sbl= signal from blank sample

    c= sample concentration

    m = calibration sensitivity

    (slope of calibration curve)

    a) Calibration sensitivity (m)** blSmcS

    ** IUPAC Definition

    b) Analytical sensitivity ()Ss

    mg

    g= analytical sensitivity

    m = calibration sensitivity

    sS= std. dev. in signal measurement

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    2. Bias-measure of the systematic (ukuran sistematik), ordeterminate, error in an analytical analysis. Alsoreferred to as accuracy.

    Figures of Merit

    b) Percent bias, or error

    100Error% x

    a) Absolute bias, or error (Ea)

    xEa

    = mean of a small (sample) set of replicate measurements

    = true or accepted valuex

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    4. Detection Limit- the minimum concentration or mass of analytethat can be detected by an instrumental method at a known level ofconfidence (usually 95% confidence level).

    Figures of Merit

    a) Minimum detectable signal (Sm

    )

    blblavgm ksSS ,

    Sm= minimum detectable signal

    Savg,bl

    = average signal of the blank

    sbl

    =standard deviation in the blank signal

    k = multiple of variation in the blank signal

    The analytical signal must be larger than the blank signal (Savg,bl

    ) bysome factor (k) of the standard deviation in the blank (s

    bl). kis

    usually set to a value of three.

    b) Minimum detectable concentration (cm

    )

    Limit of Detection (LOD)mSSc blavgmm

    ,

    cm= minimum detectable concentration

    m= slope of the calibration curve

    Expressed in terms of sbl

    m

    ksc blm

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    5. Dynamic Range-the range for an analytical method whichextend form the lowest concentration at which a quantitativemeasure can be made (LOQ) to the concentration at whichthe calibration curve departs from linearity (LOL).

    b) Limit of linearity (LOL )point where the calibration curve departs

    from linearity. (somewhat arbitrary)

    a) Limit of quantitation (LOQ)

    m

    sLOQ bl

    10

    sbl= standard deviation in the blank

    signal

    m= slope of the calibration curve

    InstrumentResponse

    Concentration

    Dynamic Range

    cm

    LOL

    LOQ

    Figures of Merit

    Kisaran suatu metodeanalitik yang mencakupkonsentrasi terkecil yangdpt diukur sec kuantitatif

    (LOQ) sampaikonsentrasi dimana kurvakalibrasi meiyimpangdari linieritas

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    6. Selectivity- the degree to which an analytical method isfree from interferences from other species

    contained in the sample matrix.

    sejauh mana sebuah metode analitis bebasdari gangguan dari spesies lain yangterkandung dalam matriks sampel.

    Selectivity coefficients are not widely use to compare different methods of

    analysis.

    Koefisien selektivitas tidak secara luas digunakan untuk membandingkan

    berbagai metode analisis.

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    Example: A calibration curve is determined for lithium (Li) usingflame atomic emission spectroscopy. The slope of the

    calibration curve is 1221 emission units perconcentration unit (g/mL, ppm). Five replicate blankanalyses resulted in the following instrument responsesfor the blank: 54, 61, 57, 60, 57 emission units.

    A) What is the calibration sensitivity of the method?

    B) What is the limit of detection for the method?

    C) What is the limit of quantitation for the method?

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    IV. Instrument Calibration Methods

    Calibration the process of relating the measured

    analytical signal (instrument response) to

    the concentration of the analyte.

    Suatuproses yang menghubungkan sinyal

    analitik (instrumen respons) terhadapkonsentrasi analyte.

    Common Methods of Calibration:

    A. Preparation of a calibration curve.

    B. Standard addition method

    C. Internal standard method

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    A. Calibration Curves

    Several standards of known analyte concentrations are

    prepared, introduced into the instrument, and instrumentresponse (absorbance, emission, pH, etc.) is recorded.

    Standard Solutions Solutions of known analyte concentrations

    usually prepared by the experimenter. The

    standards are prepared over a concentration thatencompasses the expected concentration of the

    analyte, but not beyond the LOL for the

    instrument.

    Calibration Curve A plot of standard concentration (x) vs.instrument response (y). Preferably the

    relationship between standard concentration and

    instrument response is linear.

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    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0 20 40 60 80 100

    Concentration

    CorrectedIR

    1. Preparation of a Calibration Curve

    Measure instrument response for a set of standards

    Plot standard concentration vs. instrument response.

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0 20 40 60 80 100

    Concentration

    CorrectedIR

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0 20 40 60 80 100

    Concentration

    CorrectedIR

    Concentration InstrumentResponse (IR)

    Corrected IR

    0.000 0.013 0.000

    6.010 0.101 0.088

    31.800 0.811 0.798

    63.500 1.498 1.485

    88.900 2.094 2.081

    Blank 0.049

    Sample 0.924 0.875

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    Use least squares method (linear regression) to

    calculate equation for best fit line (y = mx + b).

    xi yi xi

    2

    yi

    2

    xiyiConcentration IR Corr. IR

    0.000 0.013 0.000 0.000000 0.000000 0.000000

    6.010 0.101 0.088 36.120100 0.007744 0.528880

    31.800 0.811 0.798 1011.240000 0.636804 25.376400

    63.500 1.498 1.485 4032.250000 2.205225 94.297500

    88.900 2.094 2.081 7903.210000 4.330561 185.000900

    190.210 4.452 12982.820100 7.180334 305.203680Mean 38.042 0.890

    intercept)-(Y(Slope)

    yyxx

    xy

    xxxy

    iiiiiixy

    iiiyy

    iiixx

    SS

    Sr

    mx-ybSSm

    N

    yx

    yxyyxxS

    Ny

    yyySN

    xxxxS

    222

    222

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    2. Interpretation of Calibration Curves Use the equation for the line (y = mx + b) to calculate

    the concentration of the standard.

    m = 0.0236 & b = -0.00881

    y = 0.0236x0.00881

    Rearrange:

    x = (yb)/m

    x = (y + 0.00881)/0.0236

    And:x (sample concentration) = 37.4

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    B. Method of Standard Additions

    Used for analytes in a complex matrix where interferences in

    the IR for the analyte will occur.i.e. blood, sediment, human serum, etc.

    Often referred to as Spikingthe sample.

    Method:

    1) Prepare several identical aliquots, Vx, of the unknown sample.

    2) Add a variable volume, Vs, of a standard solution of known

    concentration, cs, to each unknown aliquot.

    3) Dilute each solution to an equal volume, Vt.

    4) Make instrumental measurements of each sample to get an

    instrument response, S.

    5) Calculate unknown concentration, cx, from the following

    equation.

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    B. Method of Standard Additions

    Standard Additions Equation

    Where:

    S = signal or instrument response

    k = proportionality constant

    Vs= volume of standard added

    cs= concentration of the standardVx= volume of the sample aliquot

    cx= concentration of the sample

    Vt= total volume of diluted solutions

    t

    xx

    t

    ss

    V

    ckV

    V

    ckVS

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    B. Method of Standard Additions

    A plot of instrument response (S) vs. standard volume (Vs)

    yields a straight line of the form:

    V s

    In

    strumentRespons

    e(S)

    m = Dy/Dx

    b = y-intercept

    (Vs) 0

    bmVS s

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    B. Method of Standard Additions

    Combine:

    bmVS s

    Calculating concentration of the sample.

    andt

    xx

    t

    ss

    V

    ckV

    V

    ckVS

    x

    sx

    mV

    bcc

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    Example: Standard Additions Method

    Arsenic in a biological sample is determined by the method of standard

    additions. 10-mL aliquots of the sample are pipetted into each of five

    100-mL volumetric flasks. Various volumes of a 22.1 ppm As standardwere added to four of the five flasks and each solution was diluted to

    volume with deionized water. The absorbance of each solution was

    determined.

    Sample (mL) Standard (mL) Absorbance

    10.0 0.00 0.156

    10.0 5.00 0.195

    10.0 10.00 0.239

    10.0 15.00 0.27610.0 20.00 0.320

    Calculate the concentration of the sample and its standard deviation.

    Volume Konsentrasi Absorbansi

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    Y= 0,03701x + 0,1554

    R = 0,999

    Kadar sampel

    Y=0 maka x = 0,1554/0,03701= 4,19 ppm

    Karena sample mengalami pengenceran 10x maka konsentrasi sampel

    = 4,19 x 10

    = 41,9 ppm

    Volume

    yang

    ditambah

    kn

    Konsentrasi

    (ppm)

    Absorbansi

    0 0 0,156

    5 1,105 0,195

    10 2,21 0,23915

    20

    3,315

    4,42

    0,276

    0,320

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    Arsenic Standard Addition

    0.00

    0.05

    0.10

    0.15

    0.20

    0.25

    0.30

    0.35

    0.40

    0.45

    0 5 10 15 20

    Volume Standard (Vs)

    Absorba

    nce

    m = 0.00818

    b = 0.1554

    sm = 0.000119

    sb = 0.001463

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    Using Standard Addition to estimate sample concentration.

    1) Make two solutions containing equal aliquots of sample and

    add standard to one of the solutions. Dilute solutions to

    volume.

    2) Measure instrument response for both solutions.

    3) Calculate the concentration of the sample with the followingequation.

    xss

    xVSS

    VcSc

    12

    1

    Where:

    S1= instrument response sample

    S2= instrument response sample + spike

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    Example: Two-point Standard Addition

    A 25.0-mL aliquot of an aqueous quinine solution wasdiluted to 50.0 mL and determined to have an absorbance of

    0.416 at 348 nm when measured in a 1.00 cm cell. A second

    25 mL aliquot was mixed with 10.0 mL of a solution

    containing 23.4 ppm of quinine. After diluting the solution

    to 50.0 mL, this solution had an absorbance of 0.610 (1.00cm cell). Calculate the concentration (ppm) of quinine in the

    sample.

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    C. Internal Standard Method

    Commonly used in quantitative liquid and gas chromotography.

    A constant volume or mass of a standard compound is added to

    each standard and sample solution.

    The ratio of analyte to the internal standard is used to plot the

    calibration curve and to determine the concentration of thesample.

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    C. Internal Standard Method

    Hexane Calibration Curve

    y = 31641x + 142659

    R2= 0.8171

    0.00E+00

    5.00E+05

    1.00E+06

    1.50E+06

    2.00E+06

    2.50E+06

    0 10 20 30 40 50 60

    Conc. (ppt hexane)

    PeakArea

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    C. Internal Standard Method

    Hexane/Octane Calibration Curve

    y = 0.0359x + 0.0772

    R2= 0.9998

    0

    0.5

    1

    1.5

    2

    2.5

    0 10 20 30 40 50 60

    Conc. (ppt hexane)

    Heaxne/OctanePeak

    Area


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