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personal data approved: 2021. I. 05.
Personal data
Árpád Ambrus
name Árpád Ambrus
name of institution
doctoral school
DE Kálmán Kerpely Doctoral School (Academic staff member)
DE Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences (Academic staff member)
MATE Doctoral School of Food Sciences (Academic staff member)
DE Doctoral School of Nutrition and Food Sciences (Academic staff member)
Contact details
phone number +36 1 226-3790
mobile phone number +36 30 935-2432
Academic title
scientific degree, title Ph.D.
year degree was obtained 1980
discipline to which degree belongs chemistry
institution granting the degree HAS
scientific degree, title CSc
year degree was obtained 1980
discipline to which degree belongs
institution granting the degree HAS
scientific degree, title Habilitation
year degree was obtained 2006
discipline to which degree belongs food sciences
institution granting the degree University Of Debrecen
Employment
2012 - Nemzeti Élelmiszerlánc Biztonsági Hivatal (research institute, not university)
scientific consultant
2012 - Nemzeti Élelmiszerlánc Biztonsági Hivatal (research institute, not university)
other (not specified) (nyugdíjas)
2006 - Magyar Élelmiszer-biztonsági Hivatal (research institute, not university)
Thesis topic supervisor
number of doctoral students supervised until now 7
number of students who fulfilled course requirements 6
students who obtained their degrees:
Kata Kerekes PhD 2021  DSFS
Zsuzsa Farkas PhD 2018  DSFS
Zsuzsanna Horváth PhD 2018  DSFS
(50%) Gabriella Kötelesné Suszter PhD 2017  PJDSBES
Júlia Szenczi-Cseh PhD 2017  DSFS
Andrea Zentai PhD 2016  DSFS
(50%) Yolci Perihan PhD 2012  

  Thesis topic proposals
Research
research area Sampling and analytical methods, estimation of random error and statistical evaluation of measurements results, exposure of consumers to chemicals, quality control of analytical measurements
research field in which current research is conducted chemistry
food sciences
Publications
2020

Miklós Gabriella, Angeli Cserne, Ambrus Árpád, Nagy Attila, Kardos Valéria, Zentai Andrea, Kerekes Kata, Farkas Zsuzsa, Jóźwiak Ákos, Bartók Tibor: Detection of Aflatoxins in Different Matrices and Food-Chain Positions, FRONTIERS IN MICROBIOLOGY 11: DOI 10.3389/fmicb.2020.01916
type of document: Journal paper/Article
language: English
URL 
2020

Ambrus Árpád, Kerekes Kata, Szemánné-Dobrik Henriet, Domák Zsuzsanna, Ambrus Árpád: Sources of Random Variation of Pesticide Residue Analytical Results, JOURNAL OF AOAC INTERNATIONAL 9: p. 1.
type of document: Journal paper/Article
language: English
URL 
2020

Pócsi István, Giacometti Federica, Ambrus Árpád, Logrieco Antonio F.: Editorial: Aspergillus-Derived Mycotoxins in the Feed and Food Chain, FRONTIERS IN MICROBIOLOGY 11: pp. 1-4.
type of document: Journal paper/Article
language: English
URL 
2019

Tadeo Jose L., Tadeo José L., Ambrus Árpád: Analysis of Pesticides in Food and Environmental Samples, CRC Press
type of document: Book/Monography
language: English
2018

Omeroglu Perihan Yolci, Ambrus Arpad, Boyacioglu Dilek: Uncertainty of pesticide residue concentration determined from ordinary and weighted linear regression curve, FOOD ADDITIVES AND CONTAMINANTS PART A - CHEMISTRY ANALYSIS CONTROL EXPOSURE AND RISK ASSESSMENT 35: (7) pp. 1324-1339.
type of document: Journal paper/Article
language: English
URL 
2018

Ambrus Á., Horváth Z., Szenczi-Cseh J., Szabó I.J.: Factors affecting the quantitative uncertainty of the estimated short-term intake. Part I—Calculation methods, JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART B-PESTICIDES FOOD CONTAMINANTS AND AGRICULTURAL WASTES 53: (6) pp. 394-403.
type of document: Journal paper/Article
language: English
URL 
2017

Szenczi-Cseh J, Horváth Zs, Ambrus Á: Validation of a food quantification picture book and portion sizes estimation applying perception and memory methods, INTERNATIONAL JOURNAL OF FOOD SCIENCES AND NUTRITION 68: (8) pp. 960-972.
type of document: Journal paper/Article
language: English
2017

Kötelesné Suszter Gabriella, Ambrus Árpád: Testing the efficiency of extraction of incurred residues from soil with optimized multi-residue method, JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART B-PESTICIDES FOOD CONTAMINANTS AND AGRICULTURAL WASTES 52: (8) pp. 547-556.
type of document: Journal paper/Article
language: English
URL 
2017

Ambrus Árpád, Kamirán Áron Hamow, Kötelesné Suszter Gabriella, Németh Anikó, Solymosné Majzik Etelka: Az analitikai standard oldatok pontossága és a névleges koncentrációjuk bizonytalansága = Accuracy of analytical standard solutions and the uncertainty in their nominal concentrations, ÉLELMISZERVIZSGÁLATI KÖZLEMÉNYEK 63: (1) pp. 1398-1421.
type of document: Journal paper/Article
language: Angol, Magyar
2016

Árpád Ambrus, Anikó Németh, Gabriella Suszter, Kamirán Á Hamow, Etelka Solymosné Majzik: Testing the accuracy of standard solutions used for quantitative determination of pesticide residues, In: 11th European Conference on Pesticide Residue Workshop, (2016) pp. ---.
type of document:
language: English
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
88
number of scientific publications:
103
monographs and professional books:
4
monographs/books in which chapters/sections were contributed:
4 
scientific publications published abroad that meet the accreditation criteria:
77
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
6
number of independent citations to scientific publications and creative works:
1053
further relevant information regarding accreditation (in Hungarian)
I had managed the programme of the 'FAO-IAEA Training and reference Centre for Food and Pesticide Control' for 7 years. We have organised 4-6-week training programmes for about 150 participants and received over 50 fellows. My major task was to develop the training curriculum and act as a lead lecturer.

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )