Name: choosing samples for reliable results
Uploaded: 2024-12-05T18:31:54.000Z
Duration: 1 min 23 s
Channel: JoVE

常见的抽样方法包括随机抽样、判断抽样、系统抽样、分层抽样和整群抽样。&#160;
在随机抽样中，样本是通过从总体中无偏好地随机选择个体而获得的，每个个体被选中的机会均等。
相反，判断抽样是一种非随机过程。在此方法中，样本的选择基于关于总体的现有信息。
系统抽样是一种按照固定间隔从总体中选取个体的方法。例如，若要从一个包含12个个体的总体中抽取4个个体作为样本，则在1到抽样间隔之间随机选择一个起始点，然后每隔第3个个体选取一个，从而组成包含4个个体的样本。
在分层抽样中，总体根据个体共有的特征被划分为不同的子群体或层。然后从每个子群体中按比例选取个体，以构成用于分析的最终样本。
同样，整群抽样也涉及将总体划分为子群体或群组。然后随机选择其中若干群组进行评估。

抽样计划

抽样是分析化学中的关键步骤，研究人员可借此从庞大的群体中收集代表性数据。常见的抽样方法包括随机抽样、判断抽样、系统抽样、分层抽样和集群抽样。


 机抽样是一种方法，其中总体中的每一个体都有同等的机会被选为样本。它涉及随机选择，通常使用随机数生成器或类似抽奖的方法。例如，在分析聚合物薄片的性质时，可以采用随机抽样，将薄片分成相等的 1 厘米 x 1 厘米部分，然后使用随机数表随机选择 10 个部分进行分析。这确保了在整个薄片上选择的样本是无偏的。随机抽样可最大限度地减少偏差，并有助于产生准确代表整个总体的样本。


 判断抽样，也称为目的性抽样或选择性抽样，是一种非概率方法，它依靠研究人员的判断或专业知识来选择最适合研究的个体或样本。例如，假设研究人员正在研究多氯联苯 (PCB) 在鱼类中的生物累积。在这种情况下，他们可能会选择性地只对符合特定标准的鱼类进行取样，例如体型较小或看起来不健康。当监管机构要求按照特定标准来定义所收集的样本时，通常会使用此方法。


 系统抽样涉及在随机选择起点后，从总体中每隔第 n 个个体就选择一个作为样本。例如，在环境研究中，系统抽样可用于从湖泊中收集样本，方法是将湖泊划分为网格，并从每个部分中按照固定的间隔取样，确保整个湖泊的空间覆盖。这种方法有助于涉及空间趋势的研究，例如水中的氧气分布。


 分层抽样涉及根据与研究相关的特定特征将总体划分为不同的子组或层。然后根据样本在总体中的代表性，从每个层中随机选择样本。例如，在研究城市空气中的颗粒物时，可以通过将总体划分为不同的粒度类别（例如细颗粒、粗颗粒）来采用分层抽样。然后从每个粒度类别中取样，以评估它们对总体污染水平的贡献。这种方法可以对每个子组进行更精确的分析，并减少抽样误差。


 集群抽样涉及将总体划分为集群或组，理想情况下这些集群是总体的微型代表。随机选择几个集群，并对所选集群中的所有个体都进行抽样。这种方法通常用于大规模研究中，其中后勤约束限制了采样点的数量。例如，一项关于地下水污染的研究可能会根据地理边界将一个区域划分为多个集群，然后随机选择几个集群（区域）对所有可用的水井进行采样。

采样是分析化学中的关键步骤，可使研究人员从大量总体中收集具有代表性的数据。常见的采样方法……

Education

教育

JoVE Core

Analytical Chemistry

分析化学

Unit 1

第一单元

Method Development and Sampling Techniques

方法开发与采样技术

method-development-and-sampling-techniques

KEY TERMS AND CONCEPTS

关键术语与概念

Sampling Plans

choosing samples for reliable results

Sampling is a key step in analytical chemistry. It helps researchers collect data that represents a larger population. The main sampling methods in this topic are random, judgmental, systematic, stratified, and cluster sampling.

Random sampling gives each member of the population an equal chance of being chosen. Researchers often use a random number generator or a lottery-style method. For example, a polymer sheet can be divided into 1 cm x 1 cm sections, and 10 sections can be selected at random for analysis. This helps reduce bias and supports a sample that reflects the whole population.

Judgmental sampling is also called purposive or selective sampling. It depends on the researcher&amp;#39;s judgment to choose samples that fit the study. For example, a researcher studying bioaccumulation of PCBs in fish may choose smaller fish or fish that appear unhealthy. Regulatory agencies may also require specific criteria for this kind of sampling.

Systematic sampling uses a random starting point and then selects every n th individual. It can also be used in environmental studies with a grid, such as sampling a lake at regular intervals. This method helps provide spatial coverage across the lake. It is useful when studying spatial trends, such as oxygen distribution in water.

Stratified sampling divides a population into strata, or subgroups, based on a feature linked to the study. Samples are then randomly taken from each stratum in proportion to its size in the population. For example, particulate matter in urban air can be grouped by particle size, such as fine and coarse particles. This approach can improve precision within each subgroup and reduce sampling error.

Cluster sampling divides the population into clusters, or groups that can act as mini-representations of the whole. A few clusters are randomly selected, and everyone within those clusters is sampled. This method is often used in large studies when the number of sampling sites must be limited. For example, a groundwater contamination study may divide a region into geographic clusters and then sample all available wells in the chosen clusters.

Choosing Samples for Reliable Results

development of analytical methods

Analytical Methods: Technique to Protocol

Analytical methods follow a clear path from technique to protocol. In analytical chemistry, a technique is the scientific principle used to explain a chemical measurement. A method applies that technique to a sample of interest. The next steps are procedure and protocol. A procedure gives the directions for carrying out the analysis with an analytical method. A protocol is the detailed set of guidelines for that procedure, and it should be followed closely to get the desired results. <br...

quality control

Quality Control Charts and Lab Records

Quality control charts, proficiency testing, and lab records are key parts of quality control in a laboratory. These steps help keep a system under statistical control. They also help track data, show trends, and spot variations that may affect the accuracy of an analysis. One common tool is a quality control chart. This chart plots one or more analytical characteristics over time. The measured values are taken at different times during the analysis and compared with the known value of...

quality assurance

Quality Checks in Analytical Testing

Quality assurance in analytical testing brings together the checks that help a system perform properly. It includes quality control, quality assessment, and internal corrective measures. These parts work in a cycle to support reliable results. Quality control happens before and during the analysis. Quality assessment takes place during and after the investigation. Internal corrective measures are then based on the results of post-analysis quality assessment, or they may be applied before a new...

data validation

How Analytical Methods Are Checked

Method validation checks whether an analytical chemistry method gives reliable results. It is especially important when the same method is used with different sample matrices or when the procedure is changed. Validation helps show that the method still meets acceptable standards in each case. Several key checks are used in method validation. Specificity means the method can measure the target analyte without interference from other substances. Linearity means the result changes in direct...

qualitative analysis

Classical and Instrumental Sample ID

Qualitative analysis identifies the elements, ions, or compounds in an unknown sample. It is the first step in the hierarchy of analytical goals. That makes it the starting point for scientific study before quantitative analysis or other forms of analysis. Two main approaches are used in qualitative analysis: classical methods and instrumental methods. Classical methods depend on the visible or sensory result of a chemical reaction, such as a color change, a precipitate, or even a smell. These...

quantitative analysis

Measuring Analyte Concentration

Quantitative analysis measures the amount of a specific substance, called the analyte, in a sample. If the sample composition is unknown, qualitative analysis comes first. That step identifies the components so the correct substances can be measured during the quantitative phase. This method depends on two key measurements. Scientists measure the sample quantity and also a property that is proportional to the amount of analyte. Together, these measurements help determine the analyte...

instrument calibration

Calibrating Lab Instruments for Accurate Results

Calibration helps lab instruments produce accurate and consistent results. It is important in manufacturing, healthcare, testing laboratories, and scientific research. Each instrument needs a calibration process that matches its design and function. This process improves data accuracy and helps results stay reliable. An analytical balance measures mass and needs regular calibration to stay precise. It is calibrated by comparing its readings with known standard weights. These weights act as...

glassware calibration

Calibrating Lab Glassware for Accurate Volume

Calibrating lab glassware helps students measure liquids accurately in the analytical laboratory. It reduces volume errors and supports consistent results across measurements. This matters when using volumetric flasks, pipettes, burettes, and other tools that depend on precise volume readings. Volumetric flasks are used to prepare aqueous solutions with a precise final volume. They have a calibration line on the neck. To calibrate one, fill it with distilled water until the meniscus, the...

standard solutions

Preparing Standard Solutions in the Lab

Standard solutions are prepared to have a precisely known concentration or composition. In analytical chemistry, this accuracy is important because it supports reliable results. A primary standard is a highly pure, stable substance with a high molar mass. It is fully soluble in water, which is the most commonly used solvent in analytical chemistry. A primary standard solution can be used to standardize a secondary standard. Secondary standards have known concentrations, but they are usually...

blank solutions

Blank Solutions in Analytical Testing

Blank solutions are used in analytical testing to show the background signal before a sample is measured. A blank solution does not contain the analyte, which is the substance of interest being tested or measured. It is usually made with the same reagents and procedure as the sample solution, but without the analyte. The main purpose of a blank solution is to control for background interference and contamination. Reagents, solvents, or lab equipment can sometimes create a detectable signal on...

sampling methods: overview

How Sampling Shapes Lab Results

Sampling shapes lab results by determining how a smaller sample represents a larger population. In analytical chemistry, testing an entire population is often impractical or impossible, so samples are collected to make inferences about the whole group. The sampling method is the process used to choose individuals or items for that sample. Common sampling methods include random, judgemental, systematic, stratified, and cluster sampling. Each method can affect the quality of the data in a...

sampling methods: sample types

Sampling Materials in Solid, Liquid, Gas

Sampling materials are grouped as solid, liquid, or gas. The type of sample helps decide the right collection method. Solid samples can include sediments from water bodies, soil, metals, and biological tissues. Sediment sampling from water bodies can be done in two common ways. Grab sampling uses a device to collect a discrete sample from the bottom with minimal disturbance. These samples may not show the full area because conditions can vary from place to place. Piston coring collects a...

sampling plans

Sampling is a key step in analytical chemistry. It helps researchers collect data that represents a larger population. The main sampling methods in this topic are random, judgmental, systematic, stratified, and cluster sampling. Random sampling gives each member of the population an equal chance of being chosen. Researchers often use a random number generator or a lottery-style method. For example, a polymer sheet can be divided into 1 cm x 1 cm sections, and 10 sections can be selected at...

sample preparation for analysis: overview

Preparing Samples by State and Form

Sample preparation depends on the state and form of the sample before analysis. It helps make the sample ready for accurate measurement. The main goal is to extract the analyte, which is the substance being measured, and remove parts that could interfere with the analysis. Solid samples often need the most handling. Large solids are usually ground, crushed, or milled to make them smaller and increase surface area. The sample is then sieved and mixed so it has a uniform composition. After that,...

sample preparation for analysis: advanced techniques

sample-preparation-for-analysis-advanced-techniques

Preparing Complex Samples for Analysis

Preparing complex samples for analysis often requires special digestion and fusion methods. Samples with inorganic or organic material can be hard to dissolve or break down. Common sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion. These steps help turn difficult samples into forms that can be tested reliably and again with similar results. Acid digestion is often used for inorganic materials that do not dissolve in water. It is useful for soil and...

sample handling

Sample Transport and Storage Basics

Sample transport and storage help keep specimens intact before testing. Moving a sample from the collection point to the laboratory requires careful handling. The sample should be sealed well and clearly labeled. These steps help prevent cross-contamination and support reliable results. Temperature control is also important during transport. Some samples travel in insulated containers, cool packs, or refrigerated vehicles so they stay within the needed temperature range. After the samples...

contaminants and errors

Sampling Errors in Sample Preparation

Sampling errors in sample preparation can affect the accuracy of laboratory results. Two common problems are concentration bias from poor sample splitting and contamination from reducing particle size by grinding or homogenization. Recognizing these errors helps make analysis more reliable. The number of samples also matters when a target population follows a normal distribution. In that case, the sample size ns can be found with a formula that uses the t-value for the chosen confidence level,...

key terms and concepts

Learn how random, judgmental, systematic, stratified, and cluster sampling are used in analytical chemistry to collect representative data.

Choosing Samples for Reliable Results | JoVE K12

analytical chemistry

JoVE Core Analytical Chemistry simplifies complex chemical principles by breaking them down into clear, engaging animations, making topics from SI Units to NMR spectroscopy more accessible and straightforward. Additionally, the scientist-in-action videos highlight the application of these concepts in real-world research conducted in laboratories globally.

Choosing Samples for Reliable Results

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