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QUALITY ASSURANCE
 process approach
 done before starting a project
 process documentation, establishing standard, audits
QUALITY CONTROL
 product based approach
 deliverables are in good quality
 begins once the product has been manufactured
note:
Both Quality assurance and Quality Control are
largely interdependent
Both Quality Control and Quality Assurance
- because of strong interdependence, it becomes
difficult to pinpoint the difference
- very thin line that separates the 2
- in some organizations, one department performs the
functions of both
Pharmaceutical and Cosmetic manufacturing:
 Comply CGMP (AO# 220 s. 1974)
Quality
 Is everybodys business
Quality Control
 A tool which gives assurance that product conforms to
standards and specifications
Success as an Analyst
 manipulative skill by experience
 follow directions
 knowledge of the theory
 skill of technique, patience, neatness and accuracy
Accuracy and Honesty
 the operator is the only person who is familiar with the
entire history of the analysis
 at least two determinations are required
 the results should agree closely
Documentation/Notebook
 include date
 object or title
 experimental data
 reactions
 calculationsresults
 remarks
Economy of Time
 clean apparatus immediately after using
 label all solutions, filtrates and precipitate
 keep 2 or more operations going at one time
 utilize all time between operations in making
calculations and writing up experiments
Reagents
 must be pure
 conform to USP and NF
Sampling
 secure a representative samples
 sampled from different parts, top to bottom
Standards and Specifications
 basis for accepting or rejecting a product
DEFECTS
 undesirable characteristics of a product
 failure to conform to specs
1. according to measurability
a. attribute defect
 cannot be measured by instrument
 odor, cleanliness
b. variable defect
 measured by instruments
 pH, weight, thickness, conc.
2. according to seriousness or gravity
a. critical defect
 endanger life or property
 may render product non functional
 disintegration time
b. major defect
 may render product useless
 cracked bottle
c. minor defect
 not endanger life nor affect function
 color label
3. according to nature
a. ocular defect
 visible (foreign particulate)
b. internal defect
 not seen
 subpotent
c. performance defect
 a defect in function
 suppository does not melt in body temp
SOURCES AND CONTROL OF QUALITY VARIATION
 Materials
 Machines
 Methods
 Men
A. MATERIAL INSPECTION SECTION
 examine raw materials received
 conduct physical test packaging materials
 examination on the quality of inventories
B. ANALYTICAL LABORATORY
 perform chemical and physical analysis
C. BIOLOGICAL TESTING LABORATORY
 perform microbiological, pharmacological, sterility,
toxicity tests
 conduct environmental monitoring
D. ANALYTICAL DEVELOPMENT
 research development
 validate procedures
 develop new assays
 develop and improve final product
E. QUALITY COORDINATION OFFICE
 maintain records
 investigate complaints
 maintain and develop SOP
A. raw materials
1. Reception - RTR
2. quarantine
- hold sticker
- samples submitted to lab
- no stickers of different disposition
3. rejected
4. approved
B. stickers
 to avoid mixups
 colors:
yellow = quarantine/ hold/ pending
green = approved/ pass
red = rejected/ fail
C. printed and packaging materials – direct contact
1. primary packaging components – capsules, bottles,
caps
2. secondary – labels, inserts, cartons
D. Reassay dates
 the date of retest
Monthly or prior to use – highly unstable
6 months – vitamins, flavors
12 months – dyes
24 months – excipients
BATCH
 Means specific amount produced in a unit time or
according to single manufacturing order during same
cycle of manufacture
LOT
 A batch
 Any portion of a batch
DISTRIBUTION CONTROL
 Certificate ANTIBIOTICS and INSULIN are withheld
from distribution until BATCH CERTIFICATE from
BFAD is received
Mean
 average
Average Deviation (d)
 Difference between individual results and the mean,
regardless of signs, adding these differences and
dividing by the # of determinations
Relative average deviation
 Dividing the average deviation by mean and
multiplied by 100 as % or 1000 as ppt
Standard Deviation (sd, s)
 Preferred measure of precision
Relative Standard Deviation (RSD)
 Or coefficient of variation
 Dividing the standard deviation by mean and multiply
by 100
Range (R)
 Largest and smallest values
Ex.
Get the mean, average deviation, relative average
deviation, standard deviation (SD) and RSD of the
following values:
0.1140
0.1142
0.1152
0.1146
QC CHARTS:
2 types:
1. attribute chart
 P chart (control chart for fraction defective)
2. variable chart –
 use of actual records of numerical measurement
ex. meter, grams
 X and R charts
CONTROL CHARTS consist of:
1. Control solid line – average
2. 2 horizontal parallel lines – indicates limits
 UCL (upper control limit): mean + 3 (SD)
above center line
 LCL (lower control limit): mean - 3 (SD)
below center line
VALIDATION
 Verification
A. Process Validation
- temperature, blending time, dissolution (rpm)
B. Assay Validation
- estimate of assay accuracy and precision
C. validation of equipment – calibration
D. validation of existing products – potency, content
uniformity
E. cleaning validation – avoid contamination
F. post validation – if there is change in formulation,
analytical methods
CLEANING SOLUTIONS
 Sodium dichromate in sulfuric acid - best
 Chromic acid
 soln. of trisodium phosphate
 Synthetic detergent
CALCULATION OF RESULTS AND ERRORS
Source and Nature of Errors
 generally, results that agree closely when obtained by 2
different methods of analysis are a good indication of
the reliability of the methods
2 types errors:
1. Indeterminate errors
 slight variation in a series of observations by same
observer
 result from causes difficult to detect such as
differences in the judgment and skill of the analyst
 intangible and their elimination is impossible
 Random or accidental error
2. Determinate errors
 Also called systematic error
 recur in constant manner/error
 arise from causes such as:
a. personal errors (inability to judge color
change)
b. incorrect sampling, contamination, error of
method
c. apparatus errors ( inaccurate calibration)
 errors are detectable and so may be eliminated
 Precision or reproducibility – agreement among
repeated measurements
 Accuracy – closeness of measurement to true value
Accuracy
 denote the agreement of results
 expressed in term of errors
 the difference between the mean and the true value is
known as the ABSOLUTE ERROR
 the RELATIVE ERROR is found by dividing the
absolute error by the true value and multiplied by 100
Precision
 a measure of reproducibility of data within a series pf
results
 results within a series which agree closely with one
another are said to be precise
 precise results are not necessarily accurate
Constant Weight
 2 consecutive weighings do not differ by more than 0.5
mg/g of substance
 if 2 weights agree within 0.2 mg
Analytical Balance
 double pan
 single pan
 top
 analytical
Weights
 substance to be accurately weighed for an assay, error
is limited to 0.1% or less
 a quantity of 500 mg is to be weighed to the nearest
0.5 mg
Dessicators
 Vessel rendered airtight
 Maintain dry atmosphere
 Has dehydrating agent/ dessicant (silica gel, calcium
chloride)

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Maam queen

  • 1.
  • 2.
  • 3. QUALITY ASSURANCE  process approach  done before starting a project  process documentation, establishing standard, audits
  • 4. QUALITY CONTROL  product based approach  deliverables are in good quality  begins once the product has been manufactured
  • 5. note: Both Quality assurance and Quality Control are largely interdependent
  • 6. Both Quality Control and Quality Assurance - because of strong interdependence, it becomes difficult to pinpoint the difference - very thin line that separates the 2 - in some organizations, one department performs the functions of both
  • 7. Pharmaceutical and Cosmetic manufacturing:  Comply CGMP (AO# 220 s. 1974)
  • 8. Quality  Is everybodys business Quality Control  A tool which gives assurance that product conforms to standards and specifications
  • 9. Success as an Analyst  manipulative skill by experience  follow directions  knowledge of the theory  skill of technique, patience, neatness and accuracy
  • 10. Accuracy and Honesty  the operator is the only person who is familiar with the entire history of the analysis  at least two determinations are required  the results should agree closely
  • 11. Documentation/Notebook  include date  object or title  experimental data  reactions  calculationsresults  remarks
  • 12. Economy of Time  clean apparatus immediately after using  label all solutions, filtrates and precipitate  keep 2 or more operations going at one time  utilize all time between operations in making calculations and writing up experiments
  • 13. Reagents  must be pure  conform to USP and NF
  • 14. Sampling  secure a representative samples  sampled from different parts, top to bottom
  • 15. Standards and Specifications  basis for accepting or rejecting a product
  • 16. DEFECTS  undesirable characteristics of a product  failure to conform to specs
  • 17.
  • 18. 1. according to measurability a. attribute defect  cannot be measured by instrument  odor, cleanliness b. variable defect  measured by instruments  pH, weight, thickness, conc.
  • 19. 2. according to seriousness or gravity a. critical defect  endanger life or property  may render product non functional  disintegration time b. major defect  may render product useless  cracked bottle c. minor defect  not endanger life nor affect function  color label
  • 20. 3. according to nature a. ocular defect  visible (foreign particulate) b. internal defect  not seen  subpotent c. performance defect  a defect in function  suppository does not melt in body temp
  • 21. SOURCES AND CONTROL OF QUALITY VARIATION  Materials  Machines  Methods  Men
  • 22.
  • 23. A. MATERIAL INSPECTION SECTION  examine raw materials received  conduct physical test packaging materials  examination on the quality of inventories
  • 24. B. ANALYTICAL LABORATORY  perform chemical and physical analysis
  • 25. C. BIOLOGICAL TESTING LABORATORY  perform microbiological, pharmacological, sterility, toxicity tests  conduct environmental monitoring
  • 26. D. ANALYTICAL DEVELOPMENT  research development  validate procedures  develop new assays  develop and improve final product
  • 27. E. QUALITY COORDINATION OFFICE  maintain records  investigate complaints  maintain and develop SOP
  • 28.
  • 29. A. raw materials 1. Reception - RTR 2. quarantine - hold sticker - samples submitted to lab - no stickers of different disposition 3. rejected 4. approved
  • 30. B. stickers  to avoid mixups  colors: yellow = quarantine/ hold/ pending green = approved/ pass red = rejected/ fail
  • 31. C. printed and packaging materials – direct contact 1. primary packaging components – capsules, bottles, caps 2. secondary – labels, inserts, cartons
  • 32. D. Reassay dates  the date of retest Monthly or prior to use – highly unstable 6 months – vitamins, flavors 12 months – dyes 24 months – excipients
  • 33. BATCH  Means specific amount produced in a unit time or according to single manufacturing order during same cycle of manufacture LOT  A batch  Any portion of a batch
  • 34. DISTRIBUTION CONTROL  Certificate ANTIBIOTICS and INSULIN are withheld from distribution until BATCH CERTIFICATE from BFAD is received
  • 35.
  • 37. Average Deviation (d)  Difference between individual results and the mean, regardless of signs, adding these differences and dividing by the # of determinations
  • 38. Relative average deviation  Dividing the average deviation by mean and multiplied by 100 as % or 1000 as ppt
  • 39. Standard Deviation (sd, s)  Preferred measure of precision
  • 40.
  • 41. Relative Standard Deviation (RSD)  Or coefficient of variation  Dividing the standard deviation by mean and multiply by 100
  • 42. Range (R)  Largest and smallest values
  • 43. Ex. Get the mean, average deviation, relative average deviation, standard deviation (SD) and RSD of the following values: 0.1140 0.1142 0.1152 0.1146
  • 44. QC CHARTS: 2 types: 1. attribute chart  P chart (control chart for fraction defective)
  • 45. 2. variable chart –  use of actual records of numerical measurement ex. meter, grams  X and R charts
  • 46.
  • 47. CONTROL CHARTS consist of: 1. Control solid line – average 2. 2 horizontal parallel lines – indicates limits  UCL (upper control limit): mean + 3 (SD) above center line  LCL (lower control limit): mean - 3 (SD) below center line
  • 48. VALIDATION  Verification A. Process Validation - temperature, blending time, dissolution (rpm) B. Assay Validation - estimate of assay accuracy and precision
  • 49. C. validation of equipment – calibration D. validation of existing products – potency, content uniformity E. cleaning validation – avoid contamination F. post validation – if there is change in formulation, analytical methods
  • 50. CLEANING SOLUTIONS  Sodium dichromate in sulfuric acid - best  Chromic acid  soln. of trisodium phosphate  Synthetic detergent
  • 52. Source and Nature of Errors  generally, results that agree closely when obtained by 2 different methods of analysis are a good indication of the reliability of the methods
  • 53. 2 types errors: 1. Indeterminate errors  slight variation in a series of observations by same observer  result from causes difficult to detect such as differences in the judgment and skill of the analyst  intangible and their elimination is impossible  Random or accidental error
  • 54. 2. Determinate errors  Also called systematic error  recur in constant manner/error  arise from causes such as: a. personal errors (inability to judge color change) b. incorrect sampling, contamination, error of method c. apparatus errors ( inaccurate calibration)  errors are detectable and so may be eliminated
  • 55.
  • 56.  Precision or reproducibility – agreement among repeated measurements  Accuracy – closeness of measurement to true value
  • 57. Accuracy  denote the agreement of results  expressed in term of errors  the difference between the mean and the true value is known as the ABSOLUTE ERROR  the RELATIVE ERROR is found by dividing the absolute error by the true value and multiplied by 100
  • 58. Precision  a measure of reproducibility of data within a series pf results  results within a series which agree closely with one another are said to be precise  precise results are not necessarily accurate
  • 59.
  • 60. Constant Weight  2 consecutive weighings do not differ by more than 0.5 mg/g of substance  if 2 weights agree within 0.2 mg
  • 61. Analytical Balance  double pan  single pan  top  analytical
  • 62. Weights  substance to be accurately weighed for an assay, error is limited to 0.1% or less  a quantity of 500 mg is to be weighed to the nearest 0.5 mg
  • 63. Dessicators  Vessel rendered airtight  Maintain dry atmosphere  Has dehydrating agent/ dessicant (silica gel, calcium chloride)