A systematic review and meta-analysis of validated analytical techniques for the determination of total selenium in foods and beverages

source extracted confidence: high 2026-04-09
#selenium #beverages #food-analysis #limit-of-detection

A systematic review and meta-analysis of validated analytical techniques for the determination of total selenium in foods and beverages

Schmitz et al., 2023 | Food Chem | Meta Analysis

Citation

Schmitz Caroline, Grambusch Isabel Marie, ... Volken de Souza Claucia Fernanda. A systematic review and meta-analysis of validated analytical techniques for the determination of total selenium in foods and beverages. Food Chem. 2023-Dec-15;429:136974. doi:10.1016/j.foodchem.2023.136974

Abstract

The intricate balance between the beneficial and harmful effects of selenium (Se) intake means that its quantification in food needs to be done correctly. Therefore, in this review, we systematized 105 articles to identify the most studied methodologies, analytical techniques, and food matrices. Among the analytical techniques employed, inductively coupled plasma mass spectrometry (ICP-MS) (n = 29) emerged as the most commonly used method. The most prevalent hydrolysis methodology to digest Se in food matrices involved the use of nitric acid combined with ultrasound, which improved both the yield and digestion time. Optimal recovery values were achieved when total Se quantification accounted for the sum of Se(IV) and Se(VI) (94.4-99.4%) and for SeCys (88-96.5%). These findings are relevant for advancing methodological approaches, and their results emphasize the importance of developing alternative, faster, and lower-cost protocols for Se quantification in foods and beverages.

Key Findings

These findings are relevant for advancing methodological approaches, and their results emphasize the importance of developing alternative, faster, and lower-cost protocols for Se quantification in foods and beverages.

Outcomes Measured

  • Requires manual extraction

Population

Field Value
Population See abstract
Sample Size 29
Age Range See abstract
Condition See abstract

MeSH Terms

  • Selenium
  • Beverages
  • Food Analysis
  • Limit of Detection

Evidence Classification

  • Level: Meta Analysis
  • Publication Types: Meta-Analysis, Systematic Review, Journal Article
  • Vertical: selenium

Provenance

Source extracted via PubMed E-utilities API on 2026-04-09