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Showing 2 results for Jahed-khaniki
Prevalence and concentration of Ochratoxin A in cocoa and its products: a systematic review and meta-analysis
Motahare Khammar, Parisa Sadighara, Gholamreza Jahed-Khaniki, Ebrahim Molaee-Aghaee,
Volume 18, Issue 2 (9-2025)
Abstract
Background and objective: Given the harmful effects of Ochratoxin A on living organisms—particularly humans—and its potential to cause various severe health outcomes, a systematic review and meta-analysis was conducted to assess the concentration of Ochratoxin A in cocoa and cocoa-based products.
Materials and Methods: After reviewing and searching for keywords including Ochratoxin A, cocoa, and meta-analysis, 17 studies were ultimately selected from an initial pool of 1,482 articles published between 2016 and 2022. The selection was carried out through four screening stages using international databases such as Web of Science, PubMed, and ScienceDirect, as well as search engines like Google Scholar and SID. The results and data were analyzed using meta-analysis methods in STATA version 17.
Results: The average concentration of Ochratoxin A reported in studies from various continents and countries was 2.461 µg/kg. The highest average concentration was observed in the Americas (3.16 µg/kg), while the lowest was reported in Asia (2.13 µg/kg). By publication year, the highest concentration was recorded in 2018 (4.5 µg/kg), and the lowest in 2022 (0.95 µg/kg). Among analytical methods, liquid chromatography–mass spectrometry (LC-MS) reported the highest average concentration of Ochratoxin A, at 3.11 µg/kg.
Conclusion: The concentration of Ochratoxin A has shown a decreasing trend, which may be attributed to the implementation of preventive measures and strategies to inhibit its production or reduce its levels on farms. Additionally, the LC method demonstrated greater detection sensitivity compared to other analytical techniques.
 

Design and application of structured fluorometric sensor for melamine detection in milk powder
Mahmood Alizadeh Sani, Arezou Khezerlou, Mohammad Rezvani-Ghalhari, Gholamreza Jahed-Khaniki,
Volume 18, Issue 3 (12-2025)
Abstract
Background and Objective: Melamine is a chemical compound commonly used as an adulterant in food products. In this study, a fluorescence-based sensor utilizing an aluminum metal-organic framework (Al−MOF) was developed for the detection of melamine in milk powder.
Materials and Methods: In this study, Al-MOF was employed as a sensing material due to its high fluorescence properties and strong ability to adsorb melamine. Using fluorescence techniques, the sensitivity and selectivity of the sensor towards melamine were evaluated over a concentration range of 0 to 400 nanomolar (nM).
Results: The melamine concentration was determined based on the reduction in the fluorescence intensity of the Al-MOF. The effects of different parameters such as pH, reaction time, and concentration, on the performance of the designed sensor were evaluated. Under optimized conditions (pH = 9, reaction time < 1 min, and Al–MOF concentration of 30 mg/L), a good linear relationship (R2 = 0.99) was observed between fluorescence intensity and melamine concentration in the range of 0–400 nM, with a detection limit of 38.5 ppb. However, the limit of detection (LOD) for HPLC method was approximately 90 ppb, indicating that the designed sensor has higher sensitivity (about 2.3 times). The sensor also exhibited good selectivity for melamine. The recovery percentage and relative standard deviation (RSD) were found to be 97-103% and 1.2-2.8%, respectively.
Conclusion: This sensor can serve as an effective tool for quality control in dairy products due to its simplicity and rapid detection capabilities.
 

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