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

Reliability and Validity01:29

Reliability and Validity

13.8K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.8K
Glassware Calibration01:11

Glassware Calibration

1.3K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
1.3K
Instrument Calibration01:12

Instrument Calibration

698
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
698
Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

453
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
453
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

4.7K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
4.7K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

503
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
503

You might also read

Related Articles

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

Sort by
Same author

Bottom Grinding Increases the Phototrophic Bacteria While Reduces Bacterial Community Stability in Sea Cucumber Cultural Ponds.

Environmental microbiology reports·2026
Same author

Artificial Oxidation: A Major Challenge in Implementing Multi-Attribute Methods for Therapeutic Protein Analysis.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

Vertical settling elastics for resolving posterior open bite during the fine-tuning staging for clear aligner therapy: A prospective clinical study.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics·2026
Same author

Resolving tooth development at single-cell resolution: advancing dental regeneration.

Frontiers in cell and developmental biology·2026
Same author

A strategy of microglia replacement alleviates microgliopathy in a CSF1R I794T hotspot mutation mouse model of CSF1R-related disorder.

Cell reports. Medicine·2026
Same author

Stronger Adaptability of Eukaryotic Communities than Prokaryotes in Seawater across an Extensive Salinity Gradient.

Marine biotechnology (New York, N.Y.)·2026

Related Experiment Video

Updated: Jan 27, 2026

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
07:12

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics

Published on: August 28, 2018

10.4K

Reliable LC-MS Multiattribute Method for Biotherapeutics by Run-Time Response Calibration.

Zhongqi Zhang1, Bhavana Shah1, Xiaoyan Guan1

  • 1Process Development , Amgen Inc. , One Amgen Center Drive , Thousand Oaks , California 91320 , United States.

Analytical Chemistry
|March 28, 2019
PubMed
Summary

New mathematical methods using reference standards (RS) reduce variability in mass-spectrometry-based quantitative multiattribute methods (MAM) for biotherapeutics. This allows for consistent attribute measurements despite instrument or sample preparation differences.

More Related Videos

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
06:52

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Published on: October 12, 2018

6.8K
Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

9.8K

Related Experiment Videos

Last Updated: Jan 27, 2026

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
07:12

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics

Published on: August 28, 2018

10.4K
An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time
06:52

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Published on: October 12, 2018

6.8K
Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

9.8K

Area of Science:

  • Analytical Chemistry
  • Biopharmaceutical Analysis

Background:

  • Mass-spectrometry-based quantitative multiattribute methods (MAM) for biotherapeutics face significant variability challenges.
  • Instrument-to-instrument and inter-laboratory variations arise from instrument tuning, digestion efficiency, peptide recovery, and artificial modifications during sample preparation.

Purpose of the Study:

  • To develop novel mathematical methods to mitigate variability in MAM assays.
  • To enable reproducible biotherapeutic attribute measurements without requiring identical instruments or sample preparation protocols.

Main Methods:

  • Utilized reference standard (RS) material as a calibrant within the MAM assay.
  • Developed mathematical approaches to calculate attribute abundance using RS data to correct for instrument and sample preparation differences.

Main Results:

  • The new methodologies significantly reduced instrument-to-instrument variability.
  • Inter-laboratory variability stemming from sample preparation differences was also substantially decreased.
  • Attribute measurements became consistent across different instruments and sample preparation procedures.

Conclusions:

  • The developed mathematical methods effectively address MAM variability challenges in biotherapeutic analysis.
  • These approaches eliminate the need for consistent instrument models and sample preparation, facilitating assay robustness and adaptability to new technologies.