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

Sample Preparation for Analysis: Overview01:21

Sample Preparation for Analysis: Overview

350
Sample preparation is an essential step in the analytical process. It involves preparing a sample so that it can be analyzed accurately. The goal is to extract the analyte, the substance you want to measure, from the sample while removing any components that may interfere with the analysis. Sample preparation techniques vary depending on the physical state of the sample.
Bulk or large solid samples are typically reduced in size using grinding, crushing, or milling techniques to increase the...
350
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

465
Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
465

You might also read

Related Articles

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

Sort by
Same author

Performance evaluation of a commercial LC-high-resolution-MS platform for untargeted whole blood analysis: comparison with immunoassay and LC-low-resolution-MS urine screening and targeted LC-MS/MS whole blood quantification.

Journal of analytical toxicology·2026
Same author

<i>Proteomes</i> Annual Report Card 2025.

Proteomes·2026
Same author

Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: A FIELD sub-study.

Journal of diabetes and its complications·2026
Same author

Comparison of human metabolome changes identified in a placebo-controlled amphetamine administration study versus those using forensic toxicology routine data.

Scientific reports·2026
Same author

Peptide ratios for post-mortem interval estimation using targeted liquid chromatography triple quadrupole mass spectrometry.

International journal of legal medicine·2025
Same author

Assessing the Feasibility of In Vitro Assays in Combination with Biological Matrices to Screen for Endogenous CYP450 Phenotype Biomarkers Using an Untargeted Metabolomics Approach-A Proof of Concept Study.

Metabolites·2025

Related Experiment Video

Updated: Sep 18, 2025

Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis
07:59

Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis

Published on: December 22, 2023

2.9K

Sample Preparation for Multi-Omics Analysis: Considerations and Guidance for Identifying the Ideal Workflow.

Breyer Woodland1, Luke A Farrell1, Lana Brockbals2,3

  • 1School of Life Sciences and Proteomics, Lipidomics and Metabolomics Core Facility, Faculty of Science, University of Technology Sydney, Ultimo, New South Wales, Australia.

Proteomics
|June 23, 2025
PubMed
Summary

Recent advances allow deep analysis of single-cell biomolecules. This review explores the evolving field of multi-omics, integrating different molecular layers to understand cellular phenotype changes.

Keywords:
comparative proteomics < Technologymetabolomics < Technologymulti‐omicssample preparation < Technologysystems biology

More Related Videos

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.5K

Related Experiment Videos

Last Updated: Sep 18, 2025

Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis
07:59

Author Spotlight: Advancing Biomedical Research Through Single Cell Analysis

Published on: December 22, 2023

2.9K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.5K

Area of Science:

  • Biochemistry
  • Systems Biology
  • Genomics

Background:

  • Single-cell analysis technologies have rapidly advanced, enabling deep profiling of genomes, transcripts, and proteins.
  • Traditionally, omics analyses (genomics, transcriptomics, proteomics) are performed in isolation.
  • A growing trend in systems biology is the integration of multiple omics datasets from the same biological sample.

Purpose of the Study:

  • To define the multi-omics field and its current methodologies.
  • To identify challenges and evaluate the fitness-for-purpose of current multi-omics approaches.
  • To suggest future directions for multi-omics research.

Main Methods:

  • Review of current multi-omics methodologies and technologies.
  • Critical evaluation of the integration of distinct omics data.
  • Analysis of challenges in multi-omics data interpretation.

Main Results:

  • Multi-omics approaches are becoming increasingly sophisticated and robust.
  • Significant challenges remain in data integration, standardization, and interpretation.
  • Current multi-omics studies often treat different molecular layers as separate entities.

Conclusions:

  • The multi-omics field is rapidly evolving, offering deeper insights into cellular complexity.
  • Further development is needed to effectively integrate and analyze diverse omics data.
  • Enhancing our understanding of biomolecular interactions across different omics layers is crucial for deciphering cellular responses.