Name: quality control charts and lab records
Uploaded: 2024-12-05T18:31:54.000Z
Duration: 1 min 5 s
Channel: JoVE

세 가지 주기적 품질 보증 활동 중 하나인 품질 관리는 시스템이 통계적 통제하에 있음을 인증하는 활동의 우산입니다.
이러한 활동에는 품질 관리 차트, 숙련도 테스트, 문서화 및 보관이 포함됩니다.
품질 관리 차트는 정성적 지표로 작용할 수 있는 분석의 한 특성에 대한 연속적인 플롯입니다.
특정 분석 특성은 참조 물질의 알려진 특성 값과 비교됩니다. 분석 조건의 검사는 측정된 값이 기준 값에서 선택한 표준 편차에 대한 제어 한계 범위를 벗어날 때 필요합니다.
숙련도 테스트는 여러 실험실의 성능을 분석하는 것입니다. 각 실험실의 결과는 모든 실험실의 결과의 평균과 기준(reference ) 또는 인증된 표준물질과 비교됩니다. 다른 실험실의 변형은 z 점수로 특징 지어집니다.

품질 관리

품질 관리란 시스템을 통계적으로 관리하는 데 도움이 되는 세 가지 순환적 품질 보증 활동 중 하나입니다. 일반적인 품질 관리 활동에는 품질 관리 차트 작성, 숙련도 시험 수행, 결과 문서화 및 보관이 포함됩니다.

품질 관리를 통해 자료를 추적하고, 추세를 시각화하며, 변동을 식별하여 분석의 정확성에 영향을 미칠 수 있는 편차를 더 쉽게 감지할 수 있습니다. 이를 수행하는 한 가지 방법은 시간 경과에 따라 하나 이상의 분석 특성 값을 표시하는 품질 관리 차트를 생성하는 것입니다. 이러한 특성은 분석 중 여러 시간에 반복적으로 모니터링되고 측정됩니다. 각 측정 값은 기준 물질의 알려진 값과 비교됩니다. 측정 값이 일반적으로 기준 값의 표준 편차로 정의되는 제어된 한계 범위를 벗어나는 경우 검사가 필요합니다. 필요한 경우 시스템의 통계적 관리를 유지하기 위해 분석 조건을 수정해야 합니다.

숙련도 시험는 여러 실험실에서 동시에 수행되는 분석입니다. 모든 실험실에서 얻은 결과의 평균이나 알려진 표준 기준 값을 사용하여 개별 실험실의 결과 변동을 비교합니다. Z 점수는 기준 값에서 이러한 값의 편차를 추정합니다.

문서화 및 보관은 실험실 과정에서 투명성과 추적성을 보장하는 품질 보증의 중요한 측면입니다. 표본 보관, 기기 교정, 표준 운영 절차 및 결과를 포함하여 품질 관리 및 보증과 관련된 모든 활동은 적절하게 문서화되어야 합니다. 이 과정에는 향후 검사를 위한 참조로 사용되는 포괄적인 기록을 만드는 것이 포함됩니다.

각 문서는 작성 또는 관리를 담당하는 개인을 명확하게 추적해야 합니다. 이를 위해 종종 문서에 관련된 사람이 서명하고 날짜를 기입해야 하므로 과정에 대한 책임이 추가됩니다. 적절한 문서화는 시스템의 통계적 제어를 지원할 뿐만 아니라 품질 관리 과정의 변화를 식별하는 데 중요한 역할을 합니다. 정확한 보관은 과거 자료를 검색, 평가 및 사용하여 향후 분석에 대한 정보에 입각한 결정을 내릴 수 있도록 보장합니다.

품질 관리는 시스템을 통계적 통제 하에 유지하는 데 도움이 되는 세 가지 주기적 품질 보증 활동 중 하나입니다. 일반적인 품질 관리 ...

Education

교육

JoVE Core

Analytical Chemistry

분석 화학

Unit 1

제1단원

Method Development and Sampling Techniques

분석법 개발 및 시료 채취 기술

method-development-and-sampling-techniques

KEY TERMS AND CONCEPTS

주요 용어 및 개념

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 reference material. If a result falls outside the controlled limits, usually set by standard deviation from the reference value, the sample needs inspection. The analysis conditions may then be adjusted to keep the system under statistical control.

Proficiency testing is another quality control activity. It involves the same sample or analysis being run across multiple laboratories at the same time. The mean result from all labs, or a known standard reference value, is used to compare how much individual lab results vary. A Z score is then used to estimate how far each value is from the reference value.

Documentation and archiving are also critical in quality assurance. Every step related to quality control should be recorded, including sample custody, instrument calibration, standard operating procedures, and results. These records create a clear reference for later checks and must trace back to the person responsible. Signing and dating documents adds accountability. Good archives make past data easy to retrieve, review, and use for future decisions.

Quality Control Charts and Lab Records

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, 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

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...

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 quality control charts, proficiency testing, documentation, and archiving help labs track data, check accuracy, and stay under statistical control.

Quality Control Charts and Lab Records | 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.

Quality Control Charts and Lab Records

Description

Transcript

Tags