Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Development of Analytical Methods01:21

Development of Analytical Methods

An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Good Manufacturing Practices01:26

Good Manufacturing Practices

Good Manufacturing Practices (GMP) constitute a foundational set of guidelines that ensure the production of safe, consistent, and high-quality products, particularly in industries such as pharmaceuticals, biotechnology, and food processing. These protocols encompass all aspects of production, from the sourcing of raw materials to the final distribution of the finished product.A core pillar of GMP is stringent hygiene and sanitation across all production environments. This includes routine...
Contaminants and Errors01:16

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Immunohistochemistry analysis of itch and pain mediators in nonmelanoma skin cancer.

Journal of the European Academy of Dermatology and Venereology : JEADVยท2020
Same author

Risk of tuberculosis reactivation during interleukin-17 inhibitor therapy for psoriasis: a systematic review.

Journal of the European Academy of Dermatology and Venereology : JEADVยท2020
Same author

Community health project proves value of neighborhood programs.

Bulletin - National Tuberculosis Associationยท2014
Same author

Analytical laboratory quality: Part II. Analytical method validation.

Journal of biomolecular techniques : JBTยท2009
Same author

Removal of N-terminal blocking groups from proteins.

Current protocols in protein scienceยท2008
Same author

Hypothermia and rapid, cold, peritoneal crystalloid infusion.

Anaesthesiaยท2001
Same journal

A Rapid Method for Accurately Determining Lipid Nanoparticle Size Using Nano-Flow Cytometry.

Journal of biomolecular techniques : JBTยท2026
Same journal

Improving core facility service discovery with an AI assistant grounded in institutional web content.

Journal of biomolecular techniques : JBTยท2026
Same journal

ABRF 2026 Awards.

Journal of biomolecular techniques : JBTยท2026
Same journal

Multisite Assessment of Methods for Cell Preservation Upstream of Single-Cell RNA Sequencing.

Journal of biomolecular techniques : JBTยท2026
Same journal

ABRF 2026 Meeting Report.

Journal of biomolecular techniques : JBTยท2026
Same journal

Boosting Biomedical Research Capacity: The Role of INBRE-Supported Core Facility Vouchers in IDeA States.

Journal of biomolecular techniques : JBTยท2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Safety Precautions and Operating Procedures in an (A)BSL-4 Laboratory: 2. General Practices
08:53

Safety Precautions and Operating Procedures in an (A)BSL-4 Laboratory: 2. General Practices

Published on: October 3, 2016

Analytical laboratory quality: Part I. General quality practices.

N M Ritter1, E Fowler

  • 1Quality and Compliance Group, Association of Biomolecular Resource Facilities, Rockville, MD, USA. NRITTER@bioreliance.com

Journal of Biomolecular Techniques : JBT
|June 6, 2009
PubMed
Summary
This summary is machine-generated.

Implementing robust laboratory quality practices in biomolecular facilities enhances data utility for commercial clients and internal confidence. These essential operational elements, beyond standard scientific practices, are crucial for informed product development decisions.

More Related Videos

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

Related Experiment Videos

Last Updated: Jun 22, 2026

Safety Precautions and Operating Procedures in an (A)BSL-4 Laboratory: 2. General Practices
08:53

Safety Precautions and Operating Procedures in an (A)BSL-4 Laboratory: 2. General Practices

Published on: October 3, 2016

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

Area of Science:

  • Biotechnology
  • Laboratory Science
  • Quality Management

Background:

  • Biotechnology product development involves extensive testing in biomolecular facilities.
  • Early-stage research data significantly influences product development decisions.
  • Regulatory quality practices are defined for final-stage analytical testing.

Purpose of the Study:

  • To identify operational elements that enhance data utility for commercial clients in early-stage biomolecular research.
  • To highlight benefits of implementing specific quality practices within research laboratories.
  • To emphasize the importance of laboratory quality beyond regulatory compliance.

Main Methods:

  • Review of operational elements in biomolecular research laboratories.
  • Analysis of practices enhancing data utility for commercial clients.
  • Assessment of benefits for laboratory operations and confidence.

Main Results:

  • Sound scientific practices are foundational but insufficient for maximizing data value.
  • Additional operational quality practices significantly enhance data utility for commercial clients.
  • These practices foster higher confidence in day-to-day laboratory operations.

Conclusions:

  • Implementing enhanced laboratory quality practices is vital for early-stage biomolecular research.
  • Simple, diligence-based practices can yield substantial improvements in data reliability and utility.
  • Adopting these practices benefits both commercial clients and the research facility itself.