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

Chemical Shift: Internal References and Solvent Effects01:17

Chemical Shift: Internal References and Solvent Effects

In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
The internal reference compound generally used in NMR spectroscopy is tetramethylsilane (TMS). TMS is preferred because it is chemically inert, soluble in NMR solvents, and easily removable. Also, the highly shielded methyl protons in TMS yield an intense...
Measurement of Bioavailability: Pharmacokinetic Methods01:30

Measurement of Bioavailability: Pharmacokinetic Methods

Pharmacokinetics is a vital branch of pharmacology that examines how drugs are absorbed, distributed, metabolized, and excreted by the body. Two key methodologies in pharmacokinetics are plasma drug concentration studies and urinary drug excretion analyses, both of which provide critical insights into a drug's therapeutic efficacy and bioavailability.Plasma Drug Concentration-Time StudiesPlasma drug concentration-time studies involve analyzing blood samples at specific intervals to quantify...
Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...

You might also read

Related Articles

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

Sort by
Same author

Corrigendum to: "HBsAg protein composition and clinical outcomes in chronic hepatitis D and variations across HBeAg-negative chronic HBsAg carriers" [JHEP Reports 5 (2023) 100842].

JHEP reports : innovation in hepatology·2026
Same author

Introduction of new calibrator lots for quantitative protein mass spectrometry and adjustment of calibration settings for long term multiplex apolipoproteins quantification.

Clinical chemistry and laboratory medicine·2026
Same author

SARS-CoV-2 seroprevalence in Barcelona and Catalonia (Spain) after the 2020 lockdown.

Scientific reports·2026
Same author

Performance of the Techcyte AI-based image analysis system for coproparasitological diagnosis in clinical stool specimens: a retrospective evaluation study.

Journal of clinical microbiology·2026
Same author

Correlation and Commutability Study between an LC-MS-Based Reference Measurement Procedure and Immunoassays Measuring Apolipoprotein A-I and Apolipoprotein B.

Clinical chemistry·2026
Same author

Small, dense LDL-C as a predictor of cardiovascular risk and benefit of alirocumab in patients with recent acute coronary syndrome receiving optimized statin treatment.

American journal of preventive cardiology·2026

Related Experiment Video

Updated: Jun 9, 2026

Absolute Quantification of Aβ1-42 in CSF Using a Mass Spectrometric Reference Measurement Procedure
08:40

Absolute Quantification of Aβ1-42 in CSF Using a Mass Spectrometric Reference Measurement Procedure

Published on: March 21, 2017

7.7K

Harmonization of indirect reference intervals calculation by the Bhattacharya method.

Luisa Martinez-Sanchez1,2,3,4, Pablo Gabriel-Medina1,2,4, Yolanda Villena-Ortiz1,2,4

  • 1Biochemistry Department, Clinical Laboratories, Vall d'Hebron University Hospital, Barcelona, Spain.

Clinical Chemistry and Laboratory Medicine
|November 17, 2022
PubMed
Summary

Harmonized criteria for the Bhattacharya indirect method in Microsoft Excel reduced variability in reference interval calculations. This improved consistency for laboratory test results across different users and years.

Keywords:
Bhattacharyaharmonizationindirect approachreference intervals

More Related Videos

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
04:50

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research

Published on: August 4, 2023

1.2K
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

895

Related Experiment Videos

Last Updated: Jun 9, 2026

Absolute Quantification of Aβ1-42 in CSF Using a Mass Spectrometric Reference Measurement Procedure
08:40

Absolute Quantification of Aβ1-42 in CSF Using a Mass Spectrometric Reference Measurement Procedure

Published on: March 21, 2017

7.7K
Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
04:50

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research

Published on: August 4, 2023

1.2K
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

895

Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Biostatistics

Background:

  • Reference intervals are crucial for interpreting laboratory test results.
  • Variability in calculation methods can lead to inconsistent reference intervals.
  • The Bhattacharya indirect method is widely used but can be subject to user interpretation.

Purpose of the Study:

  • To harmonize criteria for the Bhattacharya indirect method using a Microsoft Excel Spreadsheet.
  • To reduce between-user variability in reference interval calculations.
  • To evaluate the impact of harmonized criteria on reference intervals for eight analytes over two years.

Main Methods:

  • Anonymized outpatient laboratory test results from 2018-2019 were analyzed.
  • Reference intervals were calculated using the Bhattacharya method with original and harmonized criteria.
  • Harmonized criteria included specific guidelines for data binning and curve fitting.
  • Consensus reference intervals were derived from multiple users' results.

Main Results:

  • Differences in reference intervals were frequent using original criteria.
  • Proposed additional criteria (e.g., central bin, bin size, consecutive bins) were applied.
  • These criteria led to more consistent reference interval calculations among users.
  • External validation confirmed the robustness of the procedure.

Conclusions:

  • The proposed harmonized criteria effectively reduced between-user variability.
  • This standardization improves the reliability of reference interval calculations.
  • The study provides a practical approach for consistent laboratory data interpretation.