Evidence map›Paper›PMID 33036314›Full record

ReviewMolecules (Basel, Switzerland)2020

Recent Techniques in Nutrient Analysis for Food Composition Database.

Mohd Fairulnizal Md Noh, Rathi Devi-Nair Gunasegavan, Norhayati Mustafa Khalid, Vimala Balasubramaniam, Suraiami Mustar, Aswir Abd Rashed

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Laboratory-Analyzed Nutrient Values Diverge from Database Estimates in Research-Specific Diets (Notably for Protein, Iron, Sodium).Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2026
    Article
  2. Article
  3. Article
  4. Integrating Vision-Language Models for Accelerated High-Throughput Nutrition Screening.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  5. Review
  6. Development of an Indian Food Composition Database.Current developments in nutrition · 2024
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
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.

Mohd Fairulnizal Md NohNutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia.
Rathi Devi-Nair GunasegavanNutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia.ORCID 0000-0002-6885-1712
Norhayati Mustafa KhalidNutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia.
Vimala BalasubramaniamNutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia.ORCID 0000-0002-6895-7517
Suraiami MustarNutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia.
Aswir Abd RashedNutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, No.1, Jalan Setia Murni U13/52, Seksyen U13 Setia Alam, Shah Alam 40170, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food composition database (FCD) provides the nutritional composition of foods. Reliable and up-to date FCD is important in many aspects of nutrition, dietetics, health, food science, biodiversity, plant breeding, food industry, trade and food regulation. FCD has been used extensively in nutrition labelling, nutritional analysis, research, regulation, national food and nutrition policy. The choice of method for the analysis of samples for FCD often depends on detection capability, along with ease of use, speed of analysis and low cost. Sample preparation is the most critical stage in analytical method development. Samples can be prepared using numerous techniques; however it should be applicable for a wide range of analytes and sample matrices. There are quite a number of significant improvements on sample preparation techniques in various food matrices for specific analytes highlighted in the literatures. Improvements on the technology used for the analysis of samples by specific instrumentation could provide an alternative to the analyst to choose for their laboratory requirement. This review provides the reader with an overview of recent techniques that can be used for sample preparation and instrumentation for food analysis which can provide wide options to the analysts in providing data to their FCD.

Indexed as

Databases, FactualFood AnalysisNutritive ValueFood Composition Database (FCD)recent techniquessample preparation

Identifiers

PMID33036314
PMCPMC7582643

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Registered trials

None linked

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.