ReviewToxins2023
Mycotoxin Contamination in Hazelnut: Current Status, Analytical Strategies, and Future Prospects.
Review in Toxins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Pooled it
- On the Application of Respirometric System on Hazelnut Samples to Predict Aflatoxin Production.Toxins · 2026Article
- Eleven-year monitoring of aflatoxins in hazelnuts from Türkiye: occurrence and regulatory compliance.Mycotoxin research · 2026Article
- Effect of Post-Harvest Management onToxins · 2026Article
- Pre-harvest dynamics ofFrontiers in plant science · 2026Article
- Evidence of antibacterial properties by endophytic fungi of Hazelnut (Frontiers in microbiology · 2026Article
- Influence of Arabic Gum/Gelatin/Ascorbyl Palmitate Coating on Quality Parameters of Hazelnut Kernels Stored in Plastic Boxes.Molecules (Basel, Switzerland) · 2025Article
- Aflatoxin B1 and Eimeria ovinoidalis impairs meat quality of sheep by regulating the HIF-1ɑ/HK2/glycolysis axis.NPJ science of food · 2025Article
- Genome Sequencing of aInternational journal of molecular sciences · 2025Article
- Molecular investigation on hazelnut-associatedFrontiers in microbiology · 2025Article
- A comparative review on methods of detection and quantification of mycotoxins in solid food and feed: a focus on cereals and nuts.Mycotoxin research · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hazelnuts represent a potential source of mycotoxins that pose a public health issue due to their increasing consumption as food ingredients worldwide. Hazelnuts contamination by mycotoxins may derive from fungal infections occurring during fruit development, or in postharvest. The present review considers the available data on mycotoxins detected in hazelnuts, on fungal species reported as infecting hazelnut fruit, and general analytical approaches adopted for mycotoxin investigation. Prompted by the European safety regulation concerning hazelnuts, many analytical methods have focused on the determination of levels of aflatoxin B1 (AFB1) and total aflatoxins. An overview of the available data shows that a multiplicity of fungal species and further mycotoxins have been detected in hazelnuts, including anthraquinones, cyclodepsipeptides, ochratoxins, sterigmatocystins, trichothecenes, and more. Hence, the importance is highlighted in developing suitable methods for the concurrent detection of a broad spectrum of these mycotoxins. Moreover, control strategies to be employed before and after harvest in the aim of controlling the fungal contamination, and in reducing or inactivating mycotoxins in hazelnuts, are discussed.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.