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 Experiment Videos

Multi-analyte optimisation of uncertainty in infant food analysis.

Jennifer A Lyn1, Michael H Ramsey, Roger Wood

  • 1Centre for Environmental Research, School of Chemistry, Physics & Environmental Science, University of Sussex, Falmer, Brighton, UK BN1 9QJ.

The Analyst
|May 14, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Is measurement uncertainty from sampling related to analyte concentration?

Analytical methods : advancing methods and applications·2025
Same author

Estimation and usefulness of measurement uncertainty from sampling at different spatial scales: microns to kilometres.

Environmental geochemistry and health·2024
Same author

Practical Stepwise Approach to Performing Neonatal Brain MR Imaging in the Research Setting.

Children (Basel, Switzerland)·2023
Same author

Comparison of reproducibility precision on mass fraction in some interlaboratory studies of methods of food analysis.

Analytical and bioanalytical chemistry·2021
Same author

Effect of cadmium, zinc and substrate heterogeneity on yield, shoot metal concentration and metal uptake by Brassica juncea: implications for human health risk assessment and phytoremediation.

The New phytologist·2021
Same author

Evaluation of uncertainties in in situ and ex situ gamma measurements on land areas with low contamination levels.

Journal of radiological protection : official journal of the Society for Radiological Protection·2015
Same journal

Optical photothermal infrared (O-PTIR) micro-spectroscopic characterisation of breast cancer cell lines: a comparative molecular profile of MCF7, MDA-MB-231, and SKBR3 cells.

The Analyst·2026
Same journal

A novel electrochemiluminescence sensor using Lu-Au@Ni-MOF for ultra-sensitive detection of permethrin.

The Analyst·2026
Same journal

Sensitive detection of meat spoilage VOCs and visual monitoring of freshness <i>via</i> a UiO-66-NH<sub>2</sub>@MR nanocomposite-based colorimetric paper sensor.

The Analyst·2026
Same journal

AuNPs/rGO-enhanced molecularly imprinted field-effect transistor sensor for highly selective detection of lactic acid in sweat.

The Analyst·2026
Same journal

Surface-engineered biochar-Cu-BTC hybrid for ultrasensitive dual detection of uric acid and nitrite.

The Analyst·2026
Same journal

Metabolic profiles of MK-3984 (SARM) in zebrafish using ultra high performance liquid chromatography Q extractive HF hybrid quadrupole orbitrap mass spectrometry (UPLC-QE-HF-MS) for doping control.

The Analyst·2026
See all related articles

The Optimised Uncertainty (OU) methodology optimizes trace element analysis in infant food, reducing financial loss from non-compliance. This approach enhances accuracy in surveys of infant formula and wet meals.

Area of Science:

  • Analytical Chemistry
  • Food Safety
  • Metrology

Background:

  • Trace element analysis in infant food is critical for ensuring regulatory compliance and consumer safety.
  • Existing methods may not adequately account for uncertainties in both sampling and chemical analysis.
  • Optimizing measurement processes can lead to significant financial benefits and improved survey efficiency.

Purpose of the Study:

  • To develop and apply the Optimised Uncertainty (OU) methodology for multi-analyte situations in infant food.
  • To classify infant food as compliant or non-compliant with regulatory thresholds for trace elements.
  • To estimate financial benefits of optimizing measurement processes and reduce financial loss due to non-compliance.

Main Methods:

  • Application of the OU methodology to a retail survey of infant formula and wet meals.

Related Experiment Videos

  • Estimation of uncertainties from primary sampling and chemical analysis for elemental concentrations.
  • Classification of food samples based on regulatory thresholds for contaminants (Pb, Cd) and essential elements (Zn, Cu).

    • Main Results:

    • Uncertainty in infant formula analysis was dominated by the analytical method, with potential savings up to £575,000 per batch for Pb and Zn.
    • Uncertainty in wet meal analysis was dominated by sampling for Cd and Cu due to heterogeneity.
    • Single analyte optimization reduced financial loss expectations by 8-99%, while multi-analyte optimization decreased total financial loss by 99%.

    Conclusions:

    • The OU methodology is feasible for multi-analyte optimization in infant food analysis.
    • Optimizing analytical expenditure can yield substantial financial savings and improve survey cost-effectiveness.
    • Accurate uncertainty estimation is crucial for reliable compliance assessment in food safety surveys.