First Exam Flashcards

1
Q

This is the most common method for expressing the
concentration of a solution in biochemical studies.

A

Molarity

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2
Q

is one that contains a
precisely known concentration of solute.

A

Standard Solutions

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3
Q

is the one having
a concentration many folds higher than that actually required in
the experiment.

A

Stock Solutions

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4
Q

A solution which contains mole of the solute dissolved in 1 kg of
the solvent is called a molal solution.

A

Molality

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5
Q

expresses concentration in terms of the equivalents
of one chemical species reacting stoichiometrically with
another chemical species; a function of chemical reaction.

A

Normality

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6
Q

is the number of gram equivalents
of the solute per litre of the solution.

A

Normality

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7
Q

This is generally employed for those solutions in which a
substance is present in a very small quantity.

A

ppm or ppb

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8
Q

a measurement science consisting of a set of powerful ideas and
methods that are helpful in all fields of science and medicine

A

analytical chemistry

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9
Q

concerned with the chemical characterization of matter;

A

analytical chemistry

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10
Q

concerned with the theory and practice of methods used to
determine the composition of matter;

A

Analytical chemistry

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11
Q

involves separating, identifying and determining the relative
amounts of the components in a sample of matter.

A

analytical chemistry

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12
Q

is often called the central science

A

Chemistry

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13
Q

data based on numbers

A

quantitative data

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14
Q

data based on observations

A

qualitative data

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15
Q

• deals with the identification of elements, ions or compound present in a sample.
• concerned with what elements or compounds is in the sample.
• reveals the chemical identity of a species in the sample.

A

Qualitative analysis

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16
Q

• concerned with the determination of the amount of a particular substance present in a sample.
• establishes the relative amounts of one or more of these species or analytes.

A

Quantitative analysis

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17
Q

Examples of wet chemical methods

A

precipitation, extraction, distillation, boiling
or melting points, gravimetric and
titrimetric measurements.

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18
Q

Analytical measurements such as ——– are made using instrumentation

A

(conductivity, electrode potential, light absorption or
emission, mass-to-charge ratio,
fluorescence etc.)

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19
Q

the mass of the analyte or some compound chemically
related to it is determined.

A

gravimetric method

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20
Q

the volume of a solution containing sufficient reagent to
react completely with the analyte is measured.

A

volumetric method

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21
Q

employs instruments other than those used in
gravimetric and volumetric methods of analysis.

A

instrumental methods

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22
Q

involves the measurement of such electrical properties
as potential, current, resistance and quantity of electricity.

A

electroanalytical method

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23
Q

examples of electroanalytical method

A

Potentiometry
Voltammetry
Coulometry

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24
Q

based upon the measurement of the interactions between
electromagnetic radiation and the analyte atoms or molecules or
upon the production of such radiation by analytes.

A

spectroscopic method

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25
Q

examples of spectroscopic method

A

• UV-VIS Spectroscopy
• IR Spectroscopy
• Atomic Absorption Spectroscopy (AAS)
• Fluorescence Spectrophotometry
• NMR Spectroscopy

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26
Q

involves separation of sample components based on differences in their migration rates.

A

chromatographic method

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27
Q

examples of chromatographic method

A

• Thin Layer Chromatography (TLC)
• Gas Chromatography (GC)
• High Performance Liquid Chromatography (HPLC)

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28
Q

the classification of analyses are based on what 3?

A

Based on the extent of analysis
Based on the size of the sample available for
analysis
Based on the type of constituents

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29
Q

under the based on the extent of the analysis there are 3 types. what are they?

A

complete or exact
ultimate
proximate or partial

30
Q

Steps in a Typical Quantitative Analysis

A

Selecting a Method of Analysis

Sampling

Preparing a Laboratory Sample

Defining Replicate Samples

Preparing Solutions of the Samples

Eliminating Interferences

Calibration and Measurement of Concentration

Calculating Results

Evaluating Results by Estimating their Reliability

31
Q

what are the steps in an analytical process

A

sampling
sample preparation
chemical analysis
calibration curves
interpreting the results

32
Q

The analysis is
meaningless unless:

A

⮚ you have collected the
sample properly;
⮚ you have taken measures
to ensure the reliability of
the analytical method;
⮚ you communicate your
results clearly and
completely.

33
Q

The _______ is only the
middle portion of a process that
begins with a question and ends with
a conclusion.

A

chemical analysis

34
Q

Chemists usually carry ________ replicates (portions) of a sample through an analytical procedure.

A

three to five

35
Q

___________ are samples of about the same size that are carried through an analysis in exactly the same way.

A

Replicates

36
Q

 arithmetic mean or average
 the quantity obtained by dividing the sum of replicate
measurements (xi) by the number of measurements (N) in the
set.

37
Q

 middle value of a sample of results arranged in order of
increasing/decreasing magnitude.

38
Q

 the value that occurs most frequently in a set of determinations.

39
Q

 describes the reproducibility of the measurements.

40
Q

 tells how close the results are, provided that they are obtained in exactly
the same way.

41
Q

 deals with repeatability (within-runs) and reproducibility (between-runs).

42
Q

three terms are widely used to describe the precision of a set of replicate
data:

A

standard deviation
Variance
coefficient of variation.

43
Q

indicates the closeness of the measurements to its true value
or accepted value and is expressed by the error (or simply the
proximity to the true value).

44
Q

accuracy is expressed in terms of

A

a. absolute error, E =| xi- xt|
b. relative error, Er = |xi- xt| / xi

45
Q

what are the 3 types of error

A

random/indeterminate
systematic/determinate
gross

46
Q

 causes data to be scattered more or less systematically around a mean value.
 affect measurement precision

A

Random / Indeterminate Error

47
Q

 causes the mean of a set of data to differ from the accepted value.
 causes the results in a series of replicate measurements to be all high or low.
 e.g. loss of a volatile analyte while heating a sample.

A

Systematic / Determinate Error

48
Q

 occur only occasionally, are often large and may cause a result to be either high or low.
 often the product of human errors.
 e.g. precipitate is lost before weighing;
 e.g. touching a weighing bottle with your fingers after its empty mass is determined.
 leads to outliers, results that obviously differ significantly from the rest of the data of
replicate measurements.

A

gross error

49
Q

Sources of systematic errors

A

instrumental
method
personal

50
Q

 caused by nonideal instrument behavior, by faulty calibrations, or by use under
inappropriate conditions
 caused by imperfection of measuring devices and instabilities in their power
supplies.
 e.g glasswares used at temperatures that differ from their calibration temperature
 distortion of container walls, errors in the original calibration, contaminants on the inner
surface of the containers
 Calibration eliminates most systematic errors of this type.
 Electronic instruments are also subject to systematic errors.
 e.g. voltage of a battery- operated power supply decreases with use
 e.g. instruments are not calibrated frequently or if they are calibrated incorrectly.
 e.g. Temperature changes
 Errors of these types are detectable and correctable.

A

instrumental error

51
Q

 arises from non-ideal chemical or physical behavior of analytical
systems.
 chemical or physical behavior of the reagents and reactions.
 due to slowness of some reactions
 incompleteness of a reaction
 instability of some species
 nonspecificity of the reagents
 possible occurrence of side reactions

A

method error

52
Q

 arises from non-ideal chemical or physical behavior of analytical
systems.
 chemical or physical behavior of the reagents and reactions.
 due to slowness of some reactions
 incompleteness of a reaction
 instability of some species
 nonspecificity of the reagents
 possible occurrence of side reactions

A

method error

53
Q

 results from the carelessness, inattention or personal limitations of the
experimenter.
 estimating the level of the liquid between two scale divisions
 the color of the solution at the end point in a titration
 level of a liquid with respect to a graduation in a pipet or buret

A

personal error

54
Q

Detection of Systematic Method Error:

A

a. analysis of standard samples
b. independent analysis
c. blank determination
d. variation in sample size

55
Q

can be purchased from a number of governmental and
industrial sources (e.g. National Institute of Standards and
Technology, NIST which offers over 1300 SRMs)

A

Standard Reference Materials (SRM)

56
Q

Concentration of the SRM has been determined in one of the
three ways:

A
  1. through analysis by previously validated reference method,
  2. through analysis by two or more independent, reliable measurement
    methods,
  3. through analysis by a network of cooperating laboratories, technically
    competent and throughly knowledgeable with the material being tested.
57
Q

a second independent and reliable analytical method to
be used in parallel with the method being evaluated.
🞑 should differ as much as possible from the method used.
🞑 This minimizes the possibility that some common factor in
the sample has the same effect on both methods.

A

independent analysis

58
Q

a _______ contains the reagents and solvents used in a determination, but no analyte.

59
Q

useful for detecting certain types of constant errors.

all steps of the analysis are performed in the absence of the sample.

A

blank determination

60
Q

many of the sample constituents are added to simulate the analyte environment, which is called the _______ (collection of
all the constituents in the sample).

A

sample matrix

61
Q

can detect constant errors (as the size of
the measurement increases, the effect of a constant error decreases).

A

variation in sample size

62
Q

Statistical Treatment of Random Errors

A

sample
population or universe
population mean, μ
sample mean

63
Q

a finite number of experimental observations; a tiny fraction of infinite number of observations; subset of measurements selected from the population.

64
Q

the theoretical infinite number of data.

A

population

65
Q

true mean of the population; in the
absence of any systematic error, this is also the true value for the measured quantity.

A

population mean

66
Q

the mean of a limited sample drawn from the
population of the data

A

sample mean

67
Q

Measures of precision

A

pop std
sample std
std of the mean
variance
relative std
coefficient of variation
spread or range

68
Q

a measure of the precision of a population of data

69
Q

a measure of the precision of a sample of data

A

sample std

70
Q

the square of std

71
Q

the difference between the largest value and the smallest in the set of data.

A

spread or range

72
Q

The exact value of the mean, μ, for a population of data can never be determined exactly because such a determination requires that an infinite number of measurements be made. Statistical theory, however, allows us to set limits around an
experimentally determined mean within which the population mean lies with a given degree of probability.

These limits are called _______, and the interval they define is known
as the ________

A

confidence limits; confidence interval