Árpád Ambrus

Prof. Dr. Árpád Ambrus

Retired, Doctoral School of Nutrition and Food Sciences, University of Debrecen, 4032 Debrecen, Hungary
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2015 in Journal of Agricultural and Food Chemistry
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Journal Article
Closed access
Árpád AmbrusÁrpád Ambrus
Árpád Ambrus
YYYong Zhen Yang
Yong Zhen Yang

18 January 2023 in Molecules
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Journal Article
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Árpád AmbrusÁrpád Ambrus
Árpád Ambrus
VDVy Vy Ngoc Doan
Vy Vy Ngoc Doan
JSJúlia Szenczi-Cseh
Júlia Szenczi-Cseh
HSHenriett Szemánné-Dobrik
Henriett Szemánné-Dobrik
AVAdrienn Vásárhelyi
Adrienn Vásárhelyi
Pesticide residues are monitored in many countries around the world. The main aims of the programs are to provide data for dietary exposure assessment of consumers to pesticide residues and for verifying the compliance of the residue concentrations in food with the national or international maximum residue limits. Accurate residue data are required to reach valid conclusions in both cases. The validity of the analytical results can be achieved by the implementation of suitable quality control protocols during sampling and determination of pesticide residues. To enable the evaluation of the reliability of the results, it is not sufficient to test and report the recovery, linearity of calibration, the limit of detection/quantification, and MS detection conditions. The analysts should also pay attention to and possibly report the selection of the portion of sample material extracted and the residue components according to the purpose of the work, quality of calibration, accuracy of standard solutions, and reproducibility of the entire laboratory phase of the determination of pesticide residues. The sources of errors potentially affecting the measured residue values and the methods for controlling them are considered in this article.

4 September 2009 in Journal of Environmental Science and Health, Part B
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Journal Article
Closed access
Árpád AmbrusÁrpád Ambrus
Árpád Ambrus
In order to provide residue data for refining the estimated sampling uncertainty, a coordinated research program was initiated for performing field studies on residues in individual items of leafy vegetables, small and large crops. The trials were carried out in 13 countries with 3 small fruits, 5 large crops, 2 medium/large crops and 3 leafy vegetables. The 25 pesticide active ingredients applied represented the dicarboximide (3), organophosphorus (8), synthetic pyrethroids (5), phthalimides (2), organochlorine (1) and other types of pesticides (6). In addition, 11 supervised field trials were performed in grapes and lettuce by the pesticide manufacturers, and their results were provided for evaluation. The studies represented actual agriculture practice around the world, and provide reliable data for estimation of sampling uncertainty. Based on the 12346 residue data, the best estimate for the relative sampling uncertainty for composite samples, assuming sample size of 10 for small crops and leafy vegetables and 5 for large crops, with 95% confidence limits in brackets are: small commodities: 0.25 (0.20–0.29); Brassica leafy vegetables: 0.20 (0.16–0.24); large commodities: 0.33 (0.29–0.38).

16 February 2015 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
Árpád AmbrusÁrpád Ambrus
Árpád Ambrus

27 July 2023 in Agrochemicals
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Journal Article
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Árpád AmbrusÁrpád Ambrus
Árpád Ambrus
AVAdrienn Vásárhelyi
Adrienn Vásárhelyi
GRGéza Ripka
Géza Ripka
HSHenriett Szemánné-Dobrik
Henriett Szemánné-Dobrik
JSJúlia Szenczi-Cseh
Júlia Szenczi-Cseh
As mandated by the EU and the national risk management duties, pesticide residues were determined by four specialized laboratories in 9924 samples taken from 119 crops of economic importance in Hungary and imported foodstuffs during 2017–2021. The screening method applied covered 622 pesticide residues as defined for enforcement purposes. The limit of detection ranged between 0.002 and 0.008 mg/kg. The 1.0% violation rate concerning all commodities was lower than in the European Union. No residue was detectable in 45.9% of the samples. For detailed analyses, six commodities (apple, cherry, grape, nectarine/peach, sweet peppers, and strawberry) were selected as they were analyzed in over 195 samples and most frequently contained residues. Besides testing their conformity with national MRLs, applying 0.3 MRL action limits for pre-export control, we found that 73% of the sampled lots would be compliant with ≥90% probability based on a second independent sampling. Multiple residues (2–23) in one sample were detected in 36–50% of the tested lots. Considering the provisions of integrated pest management, and the major pests and diseases of selected crops, normally three to four and exceptionally, seven to nine active ingredients with different modes of action should suffice for their effective and economic protection within four weeks before harvest.

3 February 2022 in Toxins
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Journal Article
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ZFZsuzsa Farkas
Zsuzsa Farkas
EOErika Országh
Erika Országh
TETekla Engelhardt
Tekla Engelhardt
CCCsorba Csorba
Csorba Csorba
KKKata Kerekes
Kata Kerekes
ÁJÁkos Bernard Jóźwiak
Ákos Bernard Jóźwiak
The study presents a systematic review of published scientific articles investigating the effects of interventions aiming at aflatoxin reduction at the feed production and animal feeding phases of the milk value chain in order to identify the recent scientific trends and summarize the main findings available in the literature. The review strategy was designed based on the guidance of the systematic review and knowledge synthesis methodology that is applicable in the field of food safety. The Web of Science and EBSCOhost online databases were searched with predefined algorithms. After title and abstract relevance screening and relevance confirmation with full-text screening, 67 studies remained for data extraction, which were included in the review. The most important identified groups of interventions based on their mode of action and place in the technological process are as follows: low-moisture production using preservatives, acidity regulators, adsorbents and various microbiological additives. The results of the listed publications are summarized and compared for all the identified intervention groups. The paper aimed to help feed producers, farmers and relevant stakeholders to get an overview of the most suitable aflatoxin mitigation options, which is extremely important in the near future as climate change will likely be accompanied by elevated mycotoxin levels.