ReviewFood chemistry: X2025
Advances in spectroscopic techniques for the detection of cheese adulteration: A systematic review.
Review in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Utilization of nanosensors and nanomaterials to revolutionize the food industry: boosting product safety, quality, and sustainability.RSC advances · 2026Review
- Modulating oxidative stability of zein-stabilized Pickering emulsions via interfacial nanoparticle localization and dual-phase antioxidant synergism: a real-time kinetic assessment by isothermal calorimetry.Food chemistry: X · 2026Article
- Quality Analysis and Detection of Adulterants and Contaminations in Milk/Milk Powder by Raman Spectroscopy.Comprehensive reviews in food science and food safety · 2026Review
- Unveiling Adulterated Cheese: AFoods (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cheese adulteration represents a growing concern in the global dairy sector, especially for products with Protected Designation of Origin (PDO) status. This systematic review critically examines the application of eight major spectroscopic techniques-such as NMR, FTIR, NIR, Raman, IRMS, and MS-based methods-for detecting diverse forms of cheese adulteration, including species substitution, fat and protein replacement, non-dairy additives, geographical mislabeling, and antibiotic residues. Following PRISMA guidelines, 104 peer-reviewed studies were retrieved from PubMed, Scopus, and Web of Science. The review systematically evaluates these methods across 20 cheese types and 60 unique configurations based on sensitivity, specificity, sample preparation, matrix adaptability, and real-world applicability. Results demonstrate that while no single technique is universally optimal, each offers distinct advantages based on adulterant type and detection context. The combination of spectroscopic tools with chemometric models substantially enhances detection robustness. This is the first comprehensive review focused exclusively on spectroscopic authentication of cheese, providing a practical reference for researchers, regulatory bodies, and industry stakeholders committed to ensuring dairy integrity and transparency.
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Registered trials
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.