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Questions and Answers
What characterizes a homogeneous sample?
What characterizes a homogeneous sample?
What is the primary goal of the sampling process in analysis?
What is the primary goal of the sampling process in analysis?
Which of the following best describes a representative sample?
Which of the following best describes a representative sample?
Which process must be followed to achieve a reliable analysis of a sample?
Which process must be followed to achieve a reliable analysis of a sample?
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What can be a characteristic of heterogeneous samples?
What can be a characteristic of heterogeneous samples?
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What is considered a primary factor contributing to the total error in an analytical result?
What is considered a primary factor contributing to the total error in an analytical result?
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Which option is a method to minimize sampling error during the analysis?
Which option is a method to minimize sampling error during the analysis?
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What does total error equal in the context of analytical results?
What does total error equal in the context of analytical results?
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In relation to sampling statistics, how is total error calculated?
In relation to sampling statistics, how is total error calculated?
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What should be considered when designing a sampling plan?
What should be considered when designing a sampling plan?
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Which is NOT a source of error in analytical processes?
Which is NOT a source of error in analytical processes?
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What is the potential disadvantage of selecting a limited number of samples for analysis?
What is the potential disadvantage of selecting a limited number of samples for analysis?
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Which factor can interfere with the analytical result due to variation in chemical structure and properties?
Which factor can interfere with the analytical result due to variation in chemical structure and properties?
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What is the main purpose of random sampling?
What is the main purpose of random sampling?
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Which type of sampling involves selecting the first sample randomly and then taking subsequent samples at arranged intervals?
Which type of sampling involves selecting the first sample randomly and then taking subsequent samples at arranged intervals?
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In stratified sampling, what criterion is used to subdivide the lot?
In stratified sampling, what criterion is used to subdivide the lot?
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What is the main characteristic of selective sampling?
What is the main characteristic of selective sampling?
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What is a composite sample?
What is a composite sample?
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When would systematic sampling be most effectively used?
When would systematic sampling be most effectively used?
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Which of the following is an example of stratified sampling?
Which of the following is an example of stratified sampling?
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Which statement best describes random sampling compared to other methods?
Which statement best describes random sampling compared to other methods?
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What is one of the main reasons for ensuring that samples remain unchanged after sampling?
What is one of the main reasons for ensuring that samples remain unchanged after sampling?
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Which method is commonly used to prevent enzymatic activity before analysis?
Which method is commonly used to prevent enzymatic activity before analysis?
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What can increase the rate of oxidation in unsaturated lipids?
What can increase the rate of oxidation in unsaturated lipids?
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Which of the following is NOT a method used to control microbial growth in food samples?
Which of the following is NOT a method used to control microbial growth in food samples?
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What is a common physical change that may occur in samples during storage?
What is a common physical change that may occur in samples during storage?
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How can antioxidants assist in sample integrity?
How can antioxidants assist in sample integrity?
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What is an effective method to minimize physical changes in samples?
What is an effective method to minimize physical changes in samples?
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What effect can microbial contamination have on food samples?
What effect can microbial contamination have on food samples?
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What is the primary purpose of subsampling in laboratory analysis?
What is the primary purpose of subsampling in laboratory analysis?
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Which of the following is NOT a method used for sampling bulk materials?
Which of the following is NOT a method used for sampling bulk materials?
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What is an essential factor that the laboratory sample must achieve to be effective?
What is an essential factor that the laboratory sample must achieve to be effective?
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Which step is NOT part of the procedure for obtaining a lab sample from bulk material?
Which step is NOT part of the procedure for obtaining a lab sample from bulk material?
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What is the challenge associated with sampling heterogeneous materials compared to homogeneous materials?
What is the challenge associated with sampling heterogeneous materials compared to homogeneous materials?
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Which of these is an example of continuous monitoring?
Which of these is an example of continuous monitoring?
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What is the approximate weight of a normal lab sample in the procedures described?
What is the approximate weight of a normal lab sample in the procedures described?
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What is the initial step in obtaining a laboratory sample?
What is the initial step in obtaining a laboratory sample?
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Study Notes
Sampling
- A homogeneous sample is consistent throughout, like steel or sugar water.
- A heterogeneous sample varies in composition, like pudding with raisins or granola bars with peanuts.
- Sampling reduces a large population to a lab-manageable amount, aiming for a representative subset.
- The most important step is collecting a representative sample that accurately reflects the original material.
- Sampling error is a factor in the total error of an analytical result.
- Analytical process involves multiple sampling and sample preparation steps.
Sampling Statistics
- Total error is the sum of sampling error and analytical error.
- Sampling plan considers the number of samples, sample size, and whether to analyze individually or as a composite.
- Matrix effects arise from different sample components interfering with analytical results.
Sample Selection in Forensic Analysis
- A limited number of samples are analyzed to reduce costs and time while still providing useful information.
- The analysis provides an estimate of the true value of the entire population.
Random Sampling
- Eliminates biases in selection.
- Simple random sampling gives any sample an equal chance of selection, like taking increments from the surface and interior of stockpiles of cereals.
- Systematic sampling involves taking samples at arranged intervals, like sampling liquids during discharge from tanks at fixed time/volume increments.
- Stratified sampling subdivides the lot and selects a simple random sample from each stratum, like sampling scrap metals after sorting by metal type.
Selective Sampling
- Screens out or selects materials with specific characteristics, like searching for the adulterated portion of a lot of contaminated foods.
Composite Sampling
- Combines portions of material in proportion to their representation, aiming to reduce the cost of analyzing a large number of samples.
Subsampling
- Homogenizes a lab sample to make subsamples sufficiently alike.
Continuous Monitoring
- Provides temporal variability data, like monitoring industrial stack emissions, workplace conditions, or smoke and heat detectors.
Obtaining a Lab Sample
- The process involves identifying the population, collecting a gross sample, and reducing it to a lab sample.
- The lab sample should accurately represent the entire material.
Sampling Particulate Solids
- Randomly collect particles, homogenize, and reduce sample size until a usable lab sample is obtained.
Sampling Bulk Materials
- Sampling methods are typically defined by institutions like ASTM, NBS, AOAC, and AOCS.
- The process involves obtaining a gross sample, reducing the gross sample to a transportable size, and obtaining a laboratory sample.
Preventing Changes in Sample
- Consider potential enzymatic, chemical, microbial, or physical changes in the original material to ensure the sample remains representative.
- Methods like lipid protection, enzymatic inactivation, controlling microbial growth, and minimizing physical changes are used depending on the sample.
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Description
This quiz explores the concepts of sampling, including homogeneous and heterogeneous samples, and the importance of representative samples in analytical processes. It covers topics such as sampling error, total error, and sample selection in forensic analysis, helping to understand the critical steps involved during sampling.