TY  - JOUR
AU  - Grahovac, Nada
AU  - Marjanović-Jeromela, Ana
AU  - Đurović, Ana
AU  - Stojanović, Zorica
AU  - Kravić, Snežana
AU  - Romanić, Ranko
AU  - Lužaić, Tanja
PY  - 2022
UR  - http://fiver.ifvcns.rs/handle/123456789/3268
AB  - U radu je određen masnokiselinski sastav različitih biljnih ulja primenom gasne hromatografije uz detekciju plameno-jonizujućim detektorom. Analizirana ulja dobijena su presovanjem semena različitih genotipova susama, nauta, krtičnjaka, lana, bamije, šafranike, bundeve i uljane tikve iz kolekcije alternativnih uljanih vrsta Instituta za ratarstvo i povrtarstvo Novi Sad, uzgajanih tokom 2021. godine. Na osnovu sastava pojedinačnih masnih kiselina u ispitivanim uzorcima određen je sadržaj zasićenih masnih kiselina (ZMK), nezasićenih masnih kiselina (NZMK), mononezasićenih masnih kiselina (MNMK), polinezasićenih masnih kiselina (PNMK), w3, w6, 6/w3, kao i nutritivni indeksi: AI, TI i HH, na osnovu kojih je procenjen kvalitet biljnih ulja. Ispitivane uzorke karakterisao je relativno nizak sadržaj ZMK i visok sadržaj NZMK. Vrednosti nutritivnih indeksa kretale su se u rasponu: AI 0,06-0,38; TI 0,08-0,75 i HH 2,75-18,91. Za razliku od bamijinog ulja, koje se pokazalo kao biljno ulje najnepoželjnijeg nutritivnog kvaliteta, u pogledu visokog sadržaja ZMK i nepovoljnih vrednosti nutritivnih indeksa, već ina ostalih ulja mogu se okarakterisati kao vredni izvori oleinske, linolne i linolenske kiseline, a jedino je ulje lana imalo povoljnu nisku vednost w6/w3 masnih kiselina.
AB  - In this paper, the fatty acid composition of various vegetable oils was determined using gas chromatography with flame-ionizing detection. The analysed oils were obtained by pressing seeds of different genotypes of sesame, chickpeas, caper spurge, flax, okra, saffron, pumpkin and oily gourd from the collection of alternative oil varieties of the Institute of Field and Vegetable Crops Novi Sad grown during 2020. Based on the composition of individual fatty acids in the tested samples, the content of saturated fatty acids (SFA), unsaturated fatty acids (UFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), w3, w6, w6/w3 was determined, as well as nutritional indices: AI, TI and HH, on the basis of which the quality of vegetable oils was assessed. The investigated samples were characterized by relatively low content of SFA and high content of UFA. The values of nutritional indices ranged from AI 0.06-0.38, TI 0.08-0.75 and HH 2.75-18.91. Unlike okra oil, which has proven to be a vegetable oil of the undesirable nutritional quality, in terms of the high content of SFA and unfavorable values of nutritional indices, most other oils can be characterized as valuable sources of oleic, linoleic and linolenic acid, while only flaxseed oil and molehill oil had favorable low values of w6/w3 fatty acids.
PB  - Novi Sad : Univerzitet u Novom Sadu, Tehnoloski fakultet
PB  - Novi Sad : Institut za ratarstvo i povrtarstvo
PB  - Novi Sad : Poslovna zajednica ,,Industrijsko bilje” DOO
T2  - Uljarstvo / Journal of Edible Oil Industry
T1  - Profil masnih kiselina i nutritivni indeksi ulja odabranih alternativnih biljnih vrsta
T1  - Fatty acid profile and nutritional indices of oils of selected alternative plant species
EP  - 34
IS  - 1
SP  - 25
VL  - 53
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3268
ER  - 

@article{
author = "Grahovac, Nada and Marjanović-Jeromela, Ana and Đurović, Ana and Stojanović, Zorica and Kravić, Snežana and Romanić, Ranko and Lužaić, Tanja",
year = "2022",
abstract = "U radu je određen masnokiselinski sastav različitih biljnih ulja primenom gasne hromatografije uz detekciju plameno-jonizujućim detektorom. Analizirana ulja dobijena su presovanjem semena različitih genotipova susama, nauta, krtičnjaka, lana, bamije, šafranike, bundeve i uljane tikve iz kolekcije alternativnih uljanih vrsta Instituta za ratarstvo i povrtarstvo Novi Sad, uzgajanih tokom 2021. godine. Na osnovu sastava pojedinačnih masnih kiselina u ispitivanim uzorcima određen je sadržaj zasićenih masnih kiselina (ZMK), nezasićenih masnih kiselina (NZMK), mononezasićenih masnih kiselina (MNMK), polinezasićenih masnih kiselina (PNMK), w3, w6, 6/w3, kao i nutritivni indeksi: AI, TI i HH, na osnovu kojih je procenjen kvalitet biljnih ulja. Ispitivane uzorke karakterisao je relativno nizak sadržaj ZMK i visok sadržaj NZMK. Vrednosti nutritivnih indeksa kretale su se u rasponu: AI 0,06-0,38; TI 0,08-0,75 i HH 2,75-18,91. Za razliku od bamijinog ulja, koje se pokazalo kao biljno ulje najnepoželjnijeg nutritivnog kvaliteta, u pogledu visokog sadržaja ZMK i nepovoljnih vrednosti nutritivnih indeksa, već ina ostalih ulja mogu se okarakterisati kao vredni izvori oleinske, linolne i linolenske kiseline, a jedino je ulje lana imalo povoljnu nisku vednost w6/w3 masnih kiselina., In this paper, the fatty acid composition of various vegetable oils was determined using gas chromatography with flame-ionizing detection. The analysed oils were obtained by pressing seeds of different genotypes of sesame, chickpeas, caper spurge, flax, okra, saffron, pumpkin and oily gourd from the collection of alternative oil varieties of the Institute of Field and Vegetable Crops Novi Sad grown during 2020. Based on the composition of individual fatty acids in the tested samples, the content of saturated fatty acids (SFA), unsaturated fatty acids (UFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), w3, w6, w6/w3 was determined, as well as nutritional indices: AI, TI and HH, on the basis of which the quality of vegetable oils was assessed. The investigated samples were characterized by relatively low content of SFA and high content of UFA. The values of nutritional indices ranged from AI 0.06-0.38, TI 0.08-0.75 and HH 2.75-18.91. Unlike okra oil, which has proven to be a vegetable oil of the undesirable nutritional quality, in terms of the high content of SFA and unfavorable values of nutritional indices, most other oils can be characterized as valuable sources of oleic, linoleic and linolenic acid, while only flaxseed oil and molehill oil had favorable low values of w6/w3 fatty acids.",
publisher = "Novi Sad : Univerzitet u Novom Sadu, Tehnoloski fakultet, Novi Sad : Institut za ratarstvo i povrtarstvo, Novi Sad : Poslovna zajednica ,,Industrijsko bilje” DOO",
journal = "Uljarstvo / Journal of Edible Oil Industry",
title = "Profil masnih kiselina i nutritivni indeksi ulja odabranih alternativnih biljnih vrsta, Fatty acid profile and nutritional indices of oils of selected alternative plant species",
pages = "34-25",
number = "1",
volume = "53",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3268"
}

Grahovac, N., Marjanović-Jeromela, A., Đurović, A., Stojanović, Z., Kravić, S., Romanić, R.,& Lužaić, T.. (2022). Profil masnih kiselina i nutritivni indeksi ulja odabranih alternativnih biljnih vrsta. in Uljarstvo / Journal of Edible Oil Industry
Novi Sad : Univerzitet u Novom Sadu, Tehnoloski fakultet., 53(1), 25-34.
https://hdl.handle.net/21.15107/rcub_fiver_3268

Grahovac N, Marjanović-Jeromela A, Đurović A, Stojanović Z, Kravić S, Romanić R, Lužaić T. Profil masnih kiselina i nutritivni indeksi ulja odabranih alternativnih biljnih vrsta. in Uljarstvo / Journal of Edible Oil Industry. 2022;53(1):25-34.
https://hdl.handle.net/21.15107/rcub_fiver_3268 .

Grahovac, Nada, Marjanović-Jeromela, Ana, Đurović, Ana, Stojanović, Zorica, Kravić, Snežana, Romanić, Ranko, Lužaić, Tanja, "Profil masnih kiselina i nutritivni indeksi ulja odabranih alternativnih biljnih vrsta" in Uljarstvo / Journal of Edible Oil Industry, 53, no. 1 (2022):25-34,
https://hdl.handle.net/21.15107/rcub_fiver_3268 .

TY  - JOUR
AU  - Lužaić, Tanja
AU  - Romanić, Ranko
AU  - Grahovac, Nada
AU  - Jocić, Siniša
AU  - Cvejić, Sandra
AU  - Hladni, Nada
AU  - Pezo, Lato
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/3107
AB  - BACKGROUND Sunflower seeds are in the top five most abundant oilseeds in the world, as well as sunflower oil in the edible oils group. Recently, increasing attention has been paid to cold-pressed sunflower oil because less processing is involved and no solvent is used. The present study was carried out to investigate dimensions (length, width, thickness), firmness, general (moisture content and hull content, mass of 1000 seeds), gravimetric (true and bulk density, porosity) and geometric characteristics (equivalent diameter, surface area, seed volume, sphericity) of 20 new sunflower hybrid seeds. Steps to determine most of these parameters are quite simple and easy since the process does not require long time or special equipment. RESULTS Principal component analysis and cluster analysis confirmed differences in the mentioned characteristics between oily and confectionary sunflower hybrid seeds. One of the major differences between two groups of samples was in extraction oil yield. Mechanical extraction oil yield of the oily hybrid seeds was significantly (P ˂ 0.05) higher (from 68.72 ± 4.21% to 75.61 ± 1.99%) compared to confectionary hybrids (from 20.10 ± 2.82% to 39.91 ± 6.23%). Extraction oil yield values are known only after oil extraction. CONCLUSION Knowledge of the extraction oil yield value before the mechanical extraction enables better management of the process. By application of the artificial neural network approach, an optimal neural network model was developed. The developed model showed a good generalization capability to predict the mechanical extraction oil yield of new sunflower hybrids based on the experimental data, which was a main goal of this paper.
PB  - Wiley
T2  - Journal of the Science of Food and Agriculture
T1  - Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model
EP  - 5833
IS  - 14
SP  - 5827
VL  - 101
DO  - 10.1002/jsfa.11234
ER  - 

@article{
author = "Lužaić, Tanja and Romanić, Ranko and Grahovac, Nada and Jocić, Siniša and Cvejić, Sandra and Hladni, Nada and Pezo, Lato",
year = "2021",
abstract = "BACKGROUND Sunflower seeds are in the top five most abundant oilseeds in the world, as well as sunflower oil in the edible oils group. Recently, increasing attention has been paid to cold-pressed sunflower oil because less processing is involved and no solvent is used. The present study was carried out to investigate dimensions (length, width, thickness), firmness, general (moisture content and hull content, mass of 1000 seeds), gravimetric (true and bulk density, porosity) and geometric characteristics (equivalent diameter, surface area, seed volume, sphericity) of 20 new sunflower hybrid seeds. Steps to determine most of these parameters are quite simple and easy since the process does not require long time or special equipment. RESULTS Principal component analysis and cluster analysis confirmed differences in the mentioned characteristics between oily and confectionary sunflower hybrid seeds. One of the major differences between two groups of samples was in extraction oil yield. Mechanical extraction oil yield of the oily hybrid seeds was significantly (P ˂ 0.05) higher (from 68.72 ± 4.21% to 75.61 ± 1.99%) compared to confectionary hybrids (from 20.10 ± 2.82% to 39.91 ± 6.23%). Extraction oil yield values are known only after oil extraction. CONCLUSION Knowledge of the extraction oil yield value before the mechanical extraction enables better management of the process. By application of the artificial neural network approach, an optimal neural network model was developed. The developed model showed a good generalization capability to predict the mechanical extraction oil yield of new sunflower hybrids based on the experimental data, which was a main goal of this paper.",
publisher = "Wiley",
journal = "Journal of the Science of Food and Agriculture",
title = "Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model",
pages = "5833-5827",
number = "14",
volume = "101",
doi = "10.1002/jsfa.11234"
}

Lužaić, T., Romanić, R., Grahovac, N., Jocić, S., Cvejić, S., Hladni, N.,& Pezo, L.. (2021). Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model. in Journal of the Science of Food and Agriculture
Wiley., 101(14), 5827-5833.
https://doi.org/10.1002/jsfa.11234

Lužaić T, Romanić R, Grahovac N, Jocić S, Cvejić S, Hladni N, Pezo L. Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model. in Journal of the Science of Food and Agriculture. 2021;101(14):5827-5833.
doi:10.1002/jsfa.11234 .

Lužaić, Tanja, Romanić, Ranko, Grahovac, Nada, Jocić, Siniša, Cvejić, Sandra, Hladni, Nada, Pezo, Lato, "Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model" in Journal of the Science of Food and Agriculture, 101, no. 14 (2021):5827-5833,
https://doi.org/10.1002/jsfa.11234 . .