TY  - JOUR
AU  - Radić, Bojana
AU  - Radović, Radmila
AU  - Janić Hajnal, Elizabet
AU  - Mandić, Anamarija
AU  - Đekić, Sanja
AU  - Stojanović, Zorica S.
AU  - Kos, Jovana
PY  - 2023
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/6393
AB  - Moniliformin (MON) represents one of the most widespread emerging mycotoxins, whose presence in food and feed can potentially cause harmful effects on the health of both the public and animals. In order to investigate MON occurrence, a total of four hundred (n = 400) samples of unprocessed maize were sampled from different regions (Bačka, Banat, and Srem) of Serbia during a period of four years (2018–2021) and were analyzed using a validated liquid chromatography with tandem mass spectrometry (LC-MS/MS) method. The influence of regional differences and variations from year to year in terms of weather conditions on the occurrence of MON was also assessed. The obtained validation parameters indicated that the LC-MS/MS method is applicable to the determination of MON in maize samples. It can be observed from the acquired findings that all samples were contaminated with MON, while concentration levels varied between the samples, especially from different sampling years. The maize samples showed the greatest levels of MON concentration during the dry and hot climatic conditions experienced in 2021. In maize samples harvested in the period 2018–2020, the MON concentration levels detected were about two to three times lower compared to the year 2021. Additionally, a comprehensive investigation into the correlation between weather conditions and the occurrence of MON in maize grown in Serbia was undertaken by reviewing the outcomes of research undertaken in the past decade.
PB  - MDPI
T2  - Toxins
T1  - Moniliformin Occurrence in Serbian Maize over Four Years: Understanding Weather-Dependent Variability
VL  - 15
IS  - 11
SP  - 634
DO  - 10.3390/toxins15110634
ER  - 

@article{
author = "Radić, Bojana and Radović, Radmila and Janić Hajnal, Elizabet and Mandić, Anamarija and Đekić, Sanja and Stojanović, Zorica S. and Kos, Jovana",
year = "2023",
abstract = "Moniliformin (MON) represents one of the most widespread emerging mycotoxins, whose presence in food and feed can potentially cause harmful effects on the health of both the public and animals. In order to investigate MON occurrence, a total of four hundred (n = 400) samples of unprocessed maize were sampled from different regions (Bačka, Banat, and Srem) of Serbia during a period of four years (2018–2021) and were analyzed using a validated liquid chromatography with tandem mass spectrometry (LC-MS/MS) method. The influence of regional differences and variations from year to year in terms of weather conditions on the occurrence of MON was also assessed. The obtained validation parameters indicated that the LC-MS/MS method is applicable to the determination of MON in maize samples. It can be observed from the acquired findings that all samples were contaminated with MON, while concentration levels varied between the samples, especially from different sampling years. The maize samples showed the greatest levels of MON concentration during the dry and hot climatic conditions experienced in 2021. In maize samples harvested in the period 2018–2020, the MON concentration levels detected were about two to three times lower compared to the year 2021. Additionally, a comprehensive investigation into the correlation between weather conditions and the occurrence of MON in maize grown in Serbia was undertaken by reviewing the outcomes of research undertaken in the past decade.",
publisher = "MDPI",
journal = "Toxins",
title = "Moniliformin Occurrence in Serbian Maize over Four Years: Understanding Weather-Dependent Variability",
volume = "15",
number = "11",
pages = "634",
doi = "10.3390/toxins15110634"
}

Radić, B., Radović, R., Janić Hajnal, E., Mandić, A., Đekić, S., Stojanović, Z. S.,& Kos, J.. (2023). Moniliformin Occurrence in Serbian Maize over Four Years: Understanding Weather-Dependent Variability. in Toxins
MDPI., 15(11), 634.
https://doi.org/10.3390/toxins15110634

Radić B, Radović R, Janić Hajnal E, Mandić A, Đekić S, Stojanović ZS, Kos J. Moniliformin Occurrence in Serbian Maize over Four Years: Understanding Weather-Dependent Variability. in Toxins. 2023;15(11):634.
doi:10.3390/toxins15110634 .

Radić, Bojana, Radović, Radmila, Janić Hajnal, Elizabet, Mandić, Anamarija, Đekić, Sanja, Stojanović, Zorica S., Kos, Jovana, "Moniliformin Occurrence in Serbian Maize over Four Years: Understanding Weather-Dependent Variability" in Toxins, 15, no. 11 (2023):634,
https://doi.org/10.3390/toxins15110634 . .

TY  - JOUR
AU  - Janić Hajnal, Elizabet
AU  - Kos, Jovana
AU  - Radić, Bojana
AU  - Anić, Mislav
AU  - Radović, Radmila
AU  - Kudumija, Nina
AU  - Vulić, Ana
AU  - Đekić, Sanja
AU  - Pleadin, Jelka
PY  - 2023
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/6185
AB  - Ongoing climate change may affect the susceptibility of plants to attacks by pathogenic, mostly mycotoxigenic fungi with a consequent increase in the presence of mycotoxins. Fusarium fungi represent one of the most important producers of mycotoxins, and are also important pathogens of agricultural crops. Therefore, the main aim of the study was to estimate the impact of weather parameters on the natural occurrence of Fusarium mycotoxins, such as deoxynivalenol (DON), fumonisins B1 and B2 (FUMs), zearalenone (ZEN), T-2, and HT-2 toxins (T-2/HT-2) in maize samples harvested from two neighboring countries, Serbia and Croatia, during a four-year production period (2018–2021). The frequency and contamination level of examined Fusarium mycotoxins varied by maize year of production and could be linked to weather conditions per investigated country. Among them, FUMs were found to be the most common contaminants (84–100%) of maize in both Serbia and Croatia. Additionally, a critical assessment of Fusarium mycotoxins occurrence in the last 10 years (2012–2021), for both Serbia and Croatia, was done. Results pointed out the highest contamination of maize from 2014, especially with DON and ZEN, in connection to extreme levels of precipitation observed in both Serbia and Croatia, whereas FUMs occurred with high prevalence from each of the ten investigated years.
PB  - MDPI
T2  - Foods
T1  - Impact of Climate Changes on the Natural Prevalence of Fusarium Mycotoxins in Maize Harvested in Serbia and Croatia
VL  - 12
IS  - 5
SP  - 1002
DO  - 10.3390/foods12051002
ER  - 

@article{
author = "Janić Hajnal, Elizabet and Kos, Jovana and Radić, Bojana and Anić, Mislav and Radović, Radmila and Kudumija, Nina and Vulić, Ana and Đekić, Sanja and Pleadin, Jelka",
year = "2023",
abstract = "Ongoing climate change may affect the susceptibility of plants to attacks by pathogenic, mostly mycotoxigenic fungi with a consequent increase in the presence of mycotoxins. Fusarium fungi represent one of the most important producers of mycotoxins, and are also important pathogens of agricultural crops. Therefore, the main aim of the study was to estimate the impact of weather parameters on the natural occurrence of Fusarium mycotoxins, such as deoxynivalenol (DON), fumonisins B1 and B2 (FUMs), zearalenone (ZEN), T-2, and HT-2 toxins (T-2/HT-2) in maize samples harvested from two neighboring countries, Serbia and Croatia, during a four-year production period (2018–2021). The frequency and contamination level of examined Fusarium mycotoxins varied by maize year of production and could be linked to weather conditions per investigated country. Among them, FUMs were found to be the most common contaminants (84–100%) of maize in both Serbia and Croatia. Additionally, a critical assessment of Fusarium mycotoxins occurrence in the last 10 years (2012–2021), for both Serbia and Croatia, was done. Results pointed out the highest contamination of maize from 2014, especially with DON and ZEN, in connection to extreme levels of precipitation observed in both Serbia and Croatia, whereas FUMs occurred with high prevalence from each of the ten investigated years.",
publisher = "MDPI",
journal = "Foods",
title = "Impact of Climate Changes on the Natural Prevalence of Fusarium Mycotoxins in Maize Harvested in Serbia and Croatia",
volume = "12",
number = "5",
pages = "1002",
doi = "10.3390/foods12051002"
}

Janić Hajnal, E., Kos, J., Radić, B., Anić, M., Radović, R., Kudumija, N., Vulić, A., Đekić, S.,& Pleadin, J.. (2023). Impact of Climate Changes on the Natural Prevalence of Fusarium Mycotoxins in Maize Harvested in Serbia and Croatia. in Foods
MDPI., 12(5), 1002.
https://doi.org/10.3390/foods12051002

Janić Hajnal E, Kos J, Radić B, Anić M, Radović R, Kudumija N, Vulić A, Đekić S, Pleadin J. Impact of Climate Changes on the Natural Prevalence of Fusarium Mycotoxins in Maize Harvested in Serbia and Croatia. in Foods. 2023;12(5):1002.
doi:10.3390/foods12051002 .

Janić Hajnal, Elizabet, Kos, Jovana, Radić, Bojana, Anić, Mislav, Radović, Radmila, Kudumija, Nina, Vulić, Ana, Đekić, Sanja, Pleadin, Jelka, "Impact of Climate Changes on the Natural Prevalence of Fusarium Mycotoxins in Maize Harvested in Serbia and Croatia" in Foods, 12, no. 5 (2023):1002,
https://doi.org/10.3390/foods12051002 . .

TY  - JOUR
AU  - Kecojević, Isidora
AU  - Đekić, Sanja
AU  - Lazović, Milana
AU  - Mrkajić, Danica
AU  - Baošić, Rada
AU  - Lolić, Aleksandar
PY  - 2021
UR  - https://www.sciencedirect.com/science/article/pii/S0956713520306095
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/4433
AB  - A method using modified QuEChERS (Quick, Easy, Cheap, Effective, Rugged, Safe) without clean-up step based on the sample dilution approach followed by the liquid chromatography coupled with the tandem mass spectrometry (LC-MS/MS) has been established for determination of 179 pesticide residues in cabbage and rice samples. Two different LC columns were used and their sensitivity was investigated regarding the sample volume. Evaluation of the matrix effect in context of sample dilution and applied extraction solvents was investigated. The method was validated according to Document SANTE/12682/2019. For cabbage samples, recoveries were 70–120% for concentration level of 5 μg/kg; and 70–115% for concentration level of 50 μg/kg; precision RSDr <17%; limits of detection and quantification were in the ranges of 0.4–5.5 and 1.2–16.7 μg/kg, respectively. For rice samples, recoveries were 70–109% for 10 μg/kg concentration; 70–115% for 100 μg/kg concentration; precision RSDr <14%, while limits of detection and quantification were in the ranges of 0.5–4.2 and 1.5–12.7 μg/kg, respectively.
PB  - Elsevier
T2  - Food Control
T1  - Evaluation of LC-MS/MS methodology for determination of 179 multi-class pesticides in cabbage and rice by modified QuEChERS extraction
VL  - 123
SP  - 107693
DO  - 10.1016/j.foodcont.2020.107693
ER  - 

@article{
author = "Kecojević, Isidora and Đekić, Sanja and Lazović, Milana and Mrkajić, Danica and Baošić, Rada and Lolić, Aleksandar",
year = "2021",
abstract = "A method using modified QuEChERS (Quick, Easy, Cheap, Effective, Rugged, Safe) without clean-up step based on the sample dilution approach followed by the liquid chromatography coupled with the tandem mass spectrometry (LC-MS/MS) has been established for determination of 179 pesticide residues in cabbage and rice samples. Two different LC columns were used and their sensitivity was investigated regarding the sample volume. Evaluation of the matrix effect in context of sample dilution and applied extraction solvents was investigated. The method was validated according to Document SANTE/12682/2019. For cabbage samples, recoveries were 70–120% for concentration level of 5 μg/kg; and 70–115% for concentration level of 50 μg/kg; precision RSDr <17%; limits of detection and quantification were in the ranges of 0.4–5.5 and 1.2–16.7 μg/kg, respectively. For rice samples, recoveries were 70–109% for 10 μg/kg concentration; 70–115% for 100 μg/kg concentration; precision RSDr <14%, while limits of detection and quantification were in the ranges of 0.5–4.2 and 1.5–12.7 μg/kg, respectively.",
publisher = "Elsevier",
journal = "Food Control",
title = "Evaluation of LC-MS/MS methodology for determination of 179 multi-class pesticides in cabbage and rice by modified QuEChERS extraction",
volume = "123",
pages = "107693",
doi = "10.1016/j.foodcont.2020.107693"
}

Kecojević, I., Đekić, S., Lazović, M., Mrkajić, D., Baošić, R.,& Lolić, A.. (2021). Evaluation of LC-MS/MS methodology for determination of 179 multi-class pesticides in cabbage and rice by modified QuEChERS extraction. in Food Control
Elsevier., 123, 107693.
https://doi.org/10.1016/j.foodcont.2020.107693

Kecojević I, Đekić S, Lazović M, Mrkajić D, Baošić R, Lolić A. Evaluation of LC-MS/MS methodology for determination of 179 multi-class pesticides in cabbage and rice by modified QuEChERS extraction. in Food Control. 2021;123:107693.
doi:10.1016/j.foodcont.2020.107693 .

Kecojević, Isidora, Đekić, Sanja, Lazović, Milana, Mrkajić, Danica, Baošić, Rada, Lolić, Aleksandar, "Evaluation of LC-MS/MS methodology for determination of 179 multi-class pesticides in cabbage and rice by modified QuEChERS extraction" in Food Control, 123 (2021):107693,
https://doi.org/10.1016/j.foodcont.2020.107693 . .

TY  - DATA
AU  - Kecojević, Isidora
AU  - Đekić, Sanja
AU  - Lazović, Milana
AU  - Mrkajić, Danica
AU  - Baošić, Rada
AU  - Lolić, Aleksandar
PY  - 2021
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/4434
PB  - Elsevier
T2  - Food Control
T1  - Supplementary data for the article: Kecojević, I.; Đekić, S.; Lazović, M.; Mrkajić, D.; Baošić, R.; Lolić, A. Evaluation of LC-MS/MS Methodology for Determination of 179 Multi-Class Pesticides in Cabbage and Rice by Modified QuEChERS Extraction. Food Control 2021, 123, 107693. https://doi.org/10.1016/j.foodcont.2020.107693.
UR  - https://hdl.handle.net/21.15107/rcub_cherry_4434
ER  - 

@misc{
author = "Kecojević, Isidora and Đekić, Sanja and Lazović, Milana and Mrkajić, Danica and Baošić, Rada and Lolić, Aleksandar",
year = "2021",
publisher = "Elsevier",
journal = "Food Control",
title = "Supplementary data for the article: Kecojević, I.; Đekić, S.; Lazović, M.; Mrkajić, D.; Baošić, R.; Lolić, A. Evaluation of LC-MS/MS Methodology for Determination of 179 Multi-Class Pesticides in Cabbage and Rice by Modified QuEChERS Extraction. Food Control 2021, 123, 107693. https://doi.org/10.1016/j.foodcont.2020.107693.",
url = "https://hdl.handle.net/21.15107/rcub_cherry_4434"
}

Kecojević, I., Đekić, S., Lazović, M., Mrkajić, D., Baošić, R.,& Lolić, A.. (2021). Supplementary data for the article: Kecojević, I.; Đekić, S.; Lazović, M.; Mrkajić, D.; Baošić, R.; Lolić, A. Evaluation of LC-MS/MS Methodology for Determination of 179 Multi-Class Pesticides in Cabbage and Rice by Modified QuEChERS Extraction. Food Control 2021, 123, 107693. https://doi.org/10.1016/j.foodcont.2020.107693.. in Food Control
Elsevier..
https://hdl.handle.net/21.15107/rcub_cherry_4434

Kecojević I, Đekić S, Lazović M, Mrkajić D, Baošić R, Lolić A. Supplementary data for the article: Kecojević, I.; Đekić, S.; Lazović, M.; Mrkajić, D.; Baošić, R.; Lolić, A. Evaluation of LC-MS/MS Methodology for Determination of 179 Multi-Class Pesticides in Cabbage and Rice by Modified QuEChERS Extraction. Food Control 2021, 123, 107693. https://doi.org/10.1016/j.foodcont.2020.107693.. in Food Control. 2021;.
https://hdl.handle.net/21.15107/rcub_cherry_4434 .

Kecojević, Isidora, Đekić, Sanja, Lazović, Milana, Mrkajić, Danica, Baošić, Rada, Lolić, Aleksandar, "Supplementary data for the article: Kecojević, I.; Đekić, S.; Lazović, M.; Mrkajić, D.; Baošić, R.; Lolić, A. Evaluation of LC-MS/MS Methodology for Determination of 179 Multi-Class Pesticides in Cabbage and Rice by Modified QuEChERS Extraction. Food Control 2021, 123, 107693. https://doi.org/10.1016/j.foodcont.2020.107693." in Food Control (2021),
https://hdl.handle.net/21.15107/rcub_cherry_4434 .