ReviewFood chemistry: X2023
Unveiling heterocyclic aromatic amines (HAAs) in thermally processed meat products: Formation, toxicity, and strategies for reduction - A comprehensive review.
Review in Food chemistry: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between red and processed meat consumption and colorectal cancer risk: a comprehensive meta-analysis of prospective studies.GeroScience · 2025Pooled it
- Article
- Heat-Induced Toxicants: Sensory Appeal Distracts Consumers' Attention From Potential Toxicological Risks of Thermally Processed Foods.Food science & nutrition · 2026Review
- Quantum chemistry calculations and chemical kinetic studies on the tautomeric mechanism of creatinine.Journal of molecular modeling · 2025Article
- Exploring Formation and Control of Hazards in Thermal Processing for Food Safety.Foods (Basel, Switzerland) · 2025Review
- Development and Application of a Rapid Detection Technique for 2-Amino-1-methyl-6-phenyl-imidazo [4,5-b] Pyridine in Meat Products Based on Hydrogel-Molecular-Imprinting Electrochemical Sensing Technology.Foods (Basel, Switzerland) · 2025Article
- Role of Furfural and 5-Methyl-2-furfural in Glucose-Induced Inhibition of 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) Formation in Chemical Models and Pork Patties.Molecules (Basel, Switzerland) · 2025Article
- Investigation of the dose and structure effects of lipid oxidation products aldehydes on the generation of heterocyclic amines: A case study of 2-amino-1-methyl-6-phenylimidazo [4,5-b] pyridine (PhIP).Food chemistry: X · 2025Article
- The food-borne carcinogenic 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) disrupts circadian rhythms and ameliorated by pterostilbene (PSB) in Caenorhabditis elegans.Archives of toxicology · 2024Article
- Association of Maternal Dietary Habits and InfantNutrients · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This comprehensive review focuses on heterocyclic aromatic amines (HAAs), a class of chemicals that commonly form during the cooking or processing of protein-rich foods. The International Agency for Research on Cancer (IARC) has categorized certain HAAs as probable human carcinogens, highlighting the significance of studying their formation and control in food safety research. The main objective of this review is to address the knowledge gaps regarding HAAs formation and propose approaches to reduce their potential toxicity during thermal processing. By summarizing the mechanisms involved in HAAs formation and inhibition, the review encompasses both conventional and recent detection methods. Furthermore, it explores the distribution of HAAs in thermally processed meats prepared through various cooking techniques and examines their relative toxicity. Additionally, considering that the Maillard reaction, responsible for HAAs formation, also contributes to the unique flavors and aromas of cooked meat products, this review investigates the potential effects of inhibiting HAAs formation on flavor substances. A thorough understanding of these complex interactions provides a foundation for developing targeted interventions to minimize the formation of HAAs and other harmful compounds during food processing.
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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.