ReviewFrontiers in nutrition2022
Spectroscopic techniques for authentication of animal origin foods.
Review in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- DNA-based one-pot rapid biosensing platform integrating turn-back loop primer-accelerated LAMP andJournal of Zhejiang University. Science. B · 2026Article
- AI-Enabled Next-Generation Dairy Systems: From Sensors to Smart Processing.Food science & nutrition · 2026Review
- A Fluorescence-Based Sensor Combined with Chemometric and Deep Learning Approaches for Detecting and Quantifying Coconut Milk Fraud in Bovine Milk.Sensors (Basel, Switzerland) · 2026Article
- Assessing Milk Authenticity Using Protein and Peptide Biomarkers: A Decade of Progress in Species Differentiation and Fraud Detection.Foods (Basel, Switzerland) · 2025Review
- Identification of Cryptic Beetle Species in the Cyclocephala Complex Using Reflectance Spectroscopy.Neotropical entomology · 2025Article
- Identification and Validation of Genus/Species-Specific Short InDels in Dairy Ruminants.BMC veterinary research · 2025Article
- Molecular Rapid Test for Identification of Tuna Species.Biosensors · 2024Article
- Fish DNA Sensors for Authenticity Assessment-Application to Sardine Species Identification.Molecules (Basel, Switzerland) · 2024Article
- Applications of Solution NMR Spectroscopy in Quality Assessment and Authentication of Bovine Milk.Foods (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Milk and milk products, meat, fish and poultry as well as other animal derived foods occupy a pronounced position in human nutrition. Unfortunately, fraud in the food industry is common, resulting in negative economic consequences for customers as well as significant threats to human health and the external environment. As a result, it is critical to develop analytical tools that can quickly detect fraud and validate the authenticity of such products. Authentication of a food product is the process of ensuring that the product matches the assertions on the label and complies with rules. Conventionally, various comprehensive and targeted approaches like molecular, chemical, protein based, and chromatographic techniques are being utilized for identifying the species, origin, peculiar ingredients and the kind of processing method used to produce the particular product. Despite being very accurate and unimpeachable, these techniques ruin the structure of food, are labor intensive, complicated, and can be employed on laboratory scale. Hence the need of hour is to identify alternative, modern instrumentation techniques which can help in overcoming the majority of the limitations offered by traditional methods. Spectroscopy is a quick, low cost, rapid, non-destructive, and emerging approach for verifying authenticity of animal origin foods. In this review authors will envisage the latest spectroscopic techniques being used for detection of fraud or adulteration in meat, fish, poultry, egg, and dairy products. Latest literature pertaining to emerging techniques including their advantages and limitations in comparison to different other commonly used analytical tools will be comprehensively reviewed. Challenges and future prospects of evolving advanced spectroscopic techniques will also be descanted.
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