Evidence map›Paper›PMID 40807636›Full record

ArticleFoods (Basel, Switzerland)2025

Influence of Various Cooking Methods on Selenium Concentrations in Commonly Consumed Seafood Species in Thailand.

Narisa Rueangsri, Kunchit Judprasong, Piyanut Sridonpai, Nunnapus Laitip, Jörg Feldmann, Alongkote Singhato

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Narisa RueangsriNutrition and Dietetics Division, Faculty of Allied Health Sciences, Burapha University, Mueng Chonburi 20131, Thailand.ORCID 0000-0002-8899-2264
Kunchit JudprasongInstitute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand.ORCID 0000-0002-9831-693X
Piyanut SridonpaiInstitute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom 73170, Thailand.ORCID 0000-0003-2059-8137
Nunnapus LaitipInorganic Analysis Group, Chemical Metrology and Biometry Department, National Institute of Metrology (Thailand), Pathum Thani 12120, Thailand.
Jörg FeldmannTrace Element Speciation Laboratory (TESLA), Institute of Chemistry, University of Graz, 8010 Graz, Austria.ORCID 0000-0002-0524-8254
Alongkote SinghatoNutrition and Dietetics Division, Faculty of Allied Health Sciences, Burapha University, Mueng Chonburi 20131, Thailand.ORCID 0000-0002-5871-3084

Funding

Thailand Science Research and Innovation
6 · The paper itself

Abstract

Selenium (Se) is an important trace element in our body; however, food composition data remain limited due to analytical challenges and interferences. Seafood, abundant in Thailand, is recognized as a rich source of Se. This study aimed to expand knowledge on Se content in seafood prepared using traditional Thai cooking methods. Twenty seafood species were selected and prepared by boiling, frying, and grilling. Inductively Coupled Plasma-Triple Quadrupole-Mass Spectrometry (ICP-MS/MS) was used to analyze total Se contents in selected seafood species. Results revealed significant variation in Se content across species and cooking methods. The Indo-Pacific horseshoe crab showed the highest Se concentration, with fried samples reaching 193.9 μg/100 g. Se concentrations were in the range of 8.6-155.5 μg/100 g (fresh), 14.3-106.6 μg/100 g (boiled), 17.3-193.9 μg/100 g (fried), and 7.3-160.1 μg/100 g (grilled). Results found significant effects of species and cooking method on Se content (

Indexed as

food analysisseafoodseleniumtrace elementstrue retention

Identifiers

PMID40807636
PMCPMC12346270

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.