Lecture 3 - Sample Prep and Data Handling Flashcards

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1
Q

General flow of food analysis?

A
  1. sampling
  2. preprocessing
  3. processing
  4. testing
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2
Q

why sample pre treatment and sample processing?

A
  • reduce sample size
  • make samples homogenous
  • prevents changes in samples (contamination and deterioration)
  • avoids matrix interference during analysis
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3
Q

lab samples (large quantity: ie 1kg) need to be reduced to….

A

analytical sample (small quantity: ie 2-5g)

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4
Q

what does the methods used for sample size reduction depend on?

A

the physical form of the sample

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5
Q

what is coning and quartering for?

A

used for powder samples

in reducing sample size

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6
Q

samples obtained from population is usually…

A

heterogeneous

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7
Q

what are reasons that there may be sample heterogeneity?

A

variations of different units within a sample (ie milk from different cows)

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8
Q

what is cryogenic grinding?

A

grinding frozen samples in liquid N using pre-cooled mortar and pestle

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9
Q

reasons for sample losses as dust or particulates during preparation ?

A
  • dry dust powder
  • air flows generated by changes in temperate (ie opening furnace when hot)
  • breathing onto dry powder sample
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10
Q

how to reduce dry dust sample losses during preparation?

A
  • don’t open hot furnace door
  • cover ash or ground samples
  • add reagents slowly to prevent losses as spray
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11
Q

reasons for sample losses through volatilization?

A
  • during heating of samples

- decrease in water during grinding solids b/c of localized heating

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12
Q

how to reduce sample losses through volatilization

A

use properly sealed vessels for wet ashing

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13
Q

chromium can be volatilized under oxidizing conditions in the presence of…?

A

chloride

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14
Q

reasons for losses due to absorption?

A

absorption of molecules to plastic or glass containers

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15
Q

how to avoid losses due to absorption?

A
  • use pretreated glassware with a hydrated layer

- soak new glassware overnight in dilute nitric of HCl solution

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16
Q

5 common types of changes that can occur in samples?

A
  • enzymatic inactivation
  • lipid oxidation
  • microbial growth
  • physical change
  • contamination
17
Q

how to avoid enzymatic degradation in samples?

A
  • heat denaturation (Blanching)
  • storage in freezer (-20 to -30)
  • pH
  • adding reducing agents to prevent oxidative enzymes
18
Q

how to avoid lipid oxidation in samples?

A
  • store under nitrogen or vacuum

- use antioxidant

19
Q

why does lipid oxidation occur?

A
  • unsaturated lipids are sensitive to oxidative degradation

- exposure to light can accelerate lipid peroxidation

20
Q

how to avoid microbial growth?

A
  • add preservatives (eg sodium azide)
  • low temp strorage
  • freeze drying
  • storage under modified atmosphere
21
Q

why does microbial growth occur in samples?

A
  • microbial contamination

- foreign microbial components introduced

22
Q

why does physical change occur?

A

caused by

  • drying
  • fluctuating storage temperature (eg ice cream)
  • fluctuating gas pressure
23
Q

how to avoid physical changes?

A

storage in air tight humidity controlled containers

maintain temp

24
Q

sources of contamination?

A

airborne (moisture and dust)

reagents

glassware/equipment

facilities

cross contamination

25
Q

what are the 2 steps needed for reducing matrix interference?

A
  1. extraction of target analytes

2. removal of interfering substances

26
Q

why do you need to reduce matrix interference?

A

matrix components can interfere with assay

eg pigments interfering with colorimetric assay for reducing sugars

27
Q

4 methods of analyte extractions?

A

digestion
solvent extraction
sorbent extraction
membrane extraction

28
Q

what type of extraction method is microwave and UV photolysis?

A

digestion

29
Q

what are examples of technologies that need no or minimal processing?

A

MRI (magnetic resonance imaging)

infralab-e series: infra red spectroscopy based instruments for measuring moisture, fat, protein, collagen content of meat

30
Q

which axis is the concentration and peak area on the standard curve?

A

independent variable: concentration = x axis

dependent variable: peak area = y axis

y = ax + b

31
Q

what is the confidence band?

A

defines statistical uncertainty of the regression line

32
Q

what is the correlation coefficient (r)

A

defines how well the data fits to a straight line

want value of r as close to +1.00 or -1.00 as possible

33
Q

what is an outlier

A

a data point that is far outside the norm for a variable or population

they:

  • increase error variance
  • reduce the power of statistical tests
  • decreases normality
34
Q

how to determine outlier value? (equation)

A

dixon Q test

Q value = (X2-X1)/W

where X1 = outlier value
X2 = next closest vale to X1
W= total spread of all values obtained by subtracting the lowest value from the highest value

35
Q

reasons for outlier data

A
  • data errors (human error, error in data collection, recording, entry)
  • sampling error
  • intentional misrepresentation of sample
  • instrument/assay condition failure
  • legitimate cases =need to be probed