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A. Sewak Department of Food and Nutrition, Punjab Agricultural University, Ludhiana, India

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N. Singla Department of Food and Nutrition, Punjab Agricultural University, Ludhiana, India

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M. Javed Department of Mathematics, Statistics & Physics, Punjab Agricultural University, Ludhiana, India

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G.S. Gill Krishi Vigyan Kendra, Patiala, India

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Abstract

In the study, suitability of porridge, bun, and salad prepared from processed pearl millet FBC16 and sorghum PSC4 had been evaluated organoleptically by a panel of semi-trained judges and 25 non-insulin dependent diabetes mellitus subjects. Organoleptically, germinated pearl millet was found to be more suitable for porridge (50%) and salad (100%), while puffed sorghum was best suitable for bun (15%) preparation. Prepared porridge had significantly (P ≤ 0.05) higher protein (16.9%) and total phenols (178.8 mg GAE/100 g) contents and antioxidant capacity (1,036 mg TE/100 g) than control. The dietary fibre and in vitro starch digestibility of composite porridge and bun increased significantly (P ≤ 0.05). Most acceptable composition of porridge, bun, and salad had low glycaemic index (17.64–26.79) and medium to low glycaemic load (8.82–13.40). Suitability of pearl millet and sorghum using appropriate processing techniques (germination and puffing) is recommended for preparation of indigenous food products especially for diabetics.

Abstract

In the study, suitability of porridge, bun, and salad prepared from processed pearl millet FBC16 and sorghum PSC4 had been evaluated organoleptically by a panel of semi-trained judges and 25 non-insulin dependent diabetes mellitus subjects. Organoleptically, germinated pearl millet was found to be more suitable for porridge (50%) and salad (100%), while puffed sorghum was best suitable for bun (15%) preparation. Prepared porridge had significantly (P ≤ 0.05) higher protein (16.9%) and total phenols (178.8 mg GAE/100 g) contents and antioxidant capacity (1,036 mg TE/100 g) than control. The dietary fibre and in vitro starch digestibility of composite porridge and bun increased significantly (P ≤ 0.05). Most acceptable composition of porridge, bun, and salad had low glycaemic index (17.64–26.79) and medium to low glycaemic load (8.82–13.40). Suitability of pearl millet and sorghum using appropriate processing techniques (germination and puffing) is recommended for preparation of indigenous food products especially for diabetics.

1 Introduction

India is ranked second after China for carrying 49 percent of global diabetes (an autoimmune destruction of β-cells in islets of Langerhans causing resistance to insulin) burden (Pradeepa and Mohan, 2021). Presently, 25.2 million Indian adults suffer from impaired glucose tolerance with predicted rise to 35.7 million by 2045. A robust approach to tackle diabetes ranging from biomedical to public health action is called for, owing to its association with diet and lifestyle. Indian diet predominantly contains cereals; therefore, intervention in diet can improve the diabetic scenario. Millets and sorghum have developed strong clinical impression of reducing post-prandial blood glucose rise and glycosylated haemoglobin levels than glucogenic staples (Palanisamy and Sree, 2020).

Pearl millet has slowly digestible and resistant starch, which reduces its glycaemic index (GI) and sorghum is loaded with cellulosic and non-cellulosic polysaccharides (mainly glucuronoarabinoxylans [GAX]), thus, having high gelatinisation temperature leading to low starch digestibility. Recipes prepared from these grains are not readily accepted, owing to characteristic flavour, thus, conventional processing techniques should be applied to improve these traits and nutrition value. Therefore, suitability of pearl millet and sorghum grains for the development of low GI foods for diabetics was assessed.

2 Materials and methods

Pearl millet FBC16 (PM) and sorghum PSC4 (SOR) grain samples procured from PAU, Ludhiana were cleaned, rinsed with deionised water. Wheat, split mung, and functional ingredients were procured from the local market. Samples were subjected to germination and puffing using standardised methods:

Germination: Grains were soaked (30 °C) in water (1:2). Damp grains were treated in formaldehyde solution (0.2%), rinsed in distilled water to remove its remnants, and kept in moist muslin at 30 °C in an incubator for 48 h. Germinated grains were dried at 50 °C to a constant weight in a hot air oven.

Puffing: Conditioned grains (19% moisture) were puffed in an iron pan using fine sand as heat exchange medium.

2.1 Flour preparation

Control and processed grains were dried in hot air oven (5% moisture) and finely ground to flour after passing through mesh size 240 in a laboratory hammer mill using zero number stainless steel sieve (particle size: 53 μm).

2.2 Formulation of food products

Three food products viz., porridge, bun, and salad were standardised, using germinated pearl millet (GPM) and sorghum (GSOR); and puffed pearl millet (PPM) and sorghum (PSOR). Recipes prepared from unprocessed grains were taken as their respective control (CPM and CSOR). Different compositions of control and processed PM and SOR with varying amounts of water and other ingredients were tried, to prepare porridge, bun, and salad and were tested by a semi-trained panel to standardise the final recipe as presented in Table 1.

Table 1.

Standardised recipes of porridge, bun, and salad

Porridge
IngredientsT1T2T3Method
CPM/CSOR50PM and SOR grains were milled to grits (1.41–2 mm) after passing through ASTM sieve no. 10 and 14. To reduce cooking time smaller grit size (0.954–1.41 mm; ASTM14 and 20) was used. Oil was heated, cumin seeds and onion were sautéed. Vegetables and PM/SOR grains with salt & spices were added with water. Lid was removed after steam escaped.
GPM/GSOR50
PPM/PSOR50
Wheat porridge303030
Split mung202020
Oil777
Cumin seeds222
Chopped onion101010
French beans101010
Carrots101010
Peas101010
Salt1.251.251.25
Water (mL)600600600
Bun
B1B2B3
CPM/CSOR15Sugar and fresh yeast were dissolved in lukewarm water. Dry ingredients were sieved, dough was prepared and left for proofing (2 h). Dough was rolled, balls were made and kept for second proofing. Baked at 200 °C for 20 min.
GPM/GSOR15
PPM/PSOR15
Refined flour858585
Yeast333
Sugar333
Salt111
Oil555
Water (mL)656565
Salad
IngredientsS1S2Method
GPM/GSORProcessed grains were steamed and mixed with cucumber, tomato, and onion with salt, spices, and lemon juice.
PPM/PSOR100
Cucumber2525
Tomato2525
Onion2020
Lemon juice33
Salt11
Pepper0.50.5

CPM: Control pearl millet (T1: 50%; B1: 15%); CSOR: Control sorghum (T1: 50%; B1: 15%); GPM: Germinated pearl millet (T2: 50%; B2: 15%; S1: 100%); GSOR: Germinated sorghum (T2: 50%; B2: 15%; S1: 100%); PPM: Puffed pearl millet (T3: 50%; B3: 15%; S2: 100%); PSOR: Puffed sorghum (T3: 50%; B3: 15%; S2: 100%)

2.3 Organoleptic evaluation

Prepared products were evaluated using 9-point hedonic scale by a panel of 30 semi-expert judges and Likert scale by a consumer panel of 25 diabetics.

2.4 Nutritional evaluation

Prepared products were weighed, homogenised, oven dried at 60 °C, and evaluated for proximate composition including moisture, total ash, crude protein (N × 6.25), crude fibre and crude fat contents according to AOAC official methods 925.09, 923.03, 979.09, 962.09, and 4.5.01, respectively, and total dietary fibre by Method 985.29 AOAC (2000). Total carbohydrates contents excluding crude fibre were calculated by difference. The energy values of the grains were estimated in kcal by multiplying percent protein, fat, and carbohydrates by their energy values per gram. In vitro starch digestibility (Singh et al., 1982) with bioactive compounds including total phenols (Singleton et al., 1999) were determined using Folin–Ciocalteu (FC) reagent and expressed as mg of gallic acid equivalents (GAE)/g, tannins (Singh and Jambunathan, 1981) as mg tannic acid equivalents (TAE)/g total flavonoid content (Zhishen et al., 1999) as mg rutin equivalent (RE)/100 g, and antioxidant activity (AOA) by DPPH was determined using free radical 2,2-diphenyl-1-picrylhydrazyl (DPPH) in methanolic solution and calculated as percent discoloration:
AOA(%)=Percentinhibition=AcAeAc×100
where, Ac = Absorbance of control; Ae = Absorbance of extract, and by Ferric Reducing Antioxidant Power (FRAP) and expressed as mg Trolox Equivalent (TE)/100 g (Tadhani et al., 2007).

2.5 Determination of glycaemic index (GI) and glycaemic load (GL)

Most accepted porridge, bun, and salad were evaluated for GI and GL, whereby reference (55 g glucose; GI 103) and test meals containing 50 g available carbohydrate were pre-tested and the experiment started between 06.00 and 07.00 h. A group of 17 volunteers (18–25 years) with no reported history of gastrointestinal disorders, suffering or suffered diabetes, or not on medication for any chronic disease, or not intolerant/allergic to any foods were selected.

The experiment was conducted as described by Wolever et al. (1991). Each test food was cooked freshly, portioned by weight and fed to healthy subjects on empty stomach with overnight fasting of 10 h. Blood glucose was measured using a pre-calibrated automatic lancet device (Accu-Chek Sensor, Roche Diagnostics GmbH, Mannheim, Germany) twice before consumption of food and then postprandially at 15, 30, 45, 60, 90, and 120 min. Mean blood glucose response curve was graphically plotted for standard and test foods, followed by geometrical calculation of the incremental area under curve using trapezoid method:
GI=Areaunderthecurvefor50gcarbohydratefromtestfoodAreaunderthecurvefor50gcarbohydratefromglucosestandard×100
GL=Availablecarbohydratecontentoftestfood×GIofthetestfood100

GI is classified into low (GI ≤ 55), intermediate (GI 56–69), and high (GI ≥ 70) by ISO (2010), while GL as low (≤10), medium (11–19), and high (≥20) according to Venn and Green (2007).

2.6 Statistical analysis

Experimental data was subjected to Kruskal–Wallis test to assess the significance between organoleptic scores and analysis of variance, followed by Tukey's post hoc test using SPSS statistical software (version 16.0, SPSS Inc., Chicago, Illinois, USA).

3 Results and discussion

3.1 Organoleptic evaluation

Organoleptic evaluation of porridge, bun, and salad based on received mean scores by semi-trained panel is presented in Table 2. Likewise, consumer acceptability is displayed in Fig. 1. Appraisal of porridge by semi-trained panel revealed significantly (P ≤ 0.01) higher overall acceptability score (6.55) for the product prepared from 50% GPM, while the majority of consumers, as well, extremely (32%) and moderately (36%) liked the above composition. However, bun prepared with 15% PSOR flour was evaluated as significantly (P ≤ 0.01) most desirable by semi-trained panel (7.20). Likewise, majority of consumer panel (60%) moderately and extremely (28%) liked the bun. Correspondingly, salad prepared from 100% GPM received significantly higher (P ≤ 0.01) overall acceptability score (7.86) by semi-trained panel, while this observation matched the data of consumer panel, whereby, 28% of diabetics extremely, while 40% moderately liked this recipe.

Table 2.

Organoleptic scores of porridge, bun, and salad

AppearanceColourTextureFlavourTasteOverall acceptability
Porridge (50%)
CPM6.73 ± 0.706.80 ± 0.686.33 ± 0.906.13 ± 0.746.07 ± 0.706.41 ± 0.62
GPM6.67 ± 0.826.73 ± 0.806.53 ± 0.836.40 ± 0.836.40 ± 0.746.55 ± 0.65
PPM6.73 ± 0.806.73 ± 0.596.40 ± 0.836.13 ± 0.996.13 ± 0.996.43 ± 0.68
CSOR6.73 ± 0.706.73 ± 0.706.20 ± 0.776.47 ± 0.646.40 ± 0.746.51 ± 0.61
GSOR6.73 ± 0.706.80 ± 0.686.40 ± 0.836.27 ± 0.706.13 ± 0.836.47 ± 0.68
PSOR6.67 ± 0.626.53 ± 0.646.40 ± 0.836.60 ± 1.126.60 ± 1.126.54 ± 0.74
χ2 Value30.475**43.300**43.554**65.786**56.781**61.478**
Bun (15%)
CPM7.27 ± 0.467.20 ± 0.467.13 ± 0.526.80 ± 0.866.80 ± 0.867.04 ± 0.50
GPM5.60 ± 1.185.47 ± 0.995.07 ± 0.965.07 ± 0.985.07 ± 0.965.25 ± 0.91
PPM6.67 ± 1.356.47 ± 1.366.73 ± 1.166.33 ± 1.186.27 ± 1.166.49 ± 1.15
CSOR7.13 ± 0.927.00 ± 0.857.00 ± 0.856.80 ± 0.866.73 ± 0.886.93 ± 0.75
GSOR5.87 ± 1.066.13 ± 0.835.47 ± 1.135.67 ± 1.355.73 ± 1.395.77 ± 1.00
PSOR7.33 ± 1.187.20 ± 1.157.40 ± 1.187.07 ± 1.107.00 ± 1.137.20 ± 1.10
χ2 Value29.689**32.600**41.822**27.929**25.575**36.908**
Salad (100%)
GPM7.67 ± 0.497.83 ± 0.717.89 ± 0.837.83 ± 0.628.06 ± 0.547.86 ± 0.33
GSOR6.56 ± 0.786.78 ± 0.735.11 ± 0.686.17 ± 0.716.11 ± 0.616.14 ± 0.33
χ2 Value35.615**39.477**34.326**38.715**41.216**46.003**

**: Significant at 1% level (P ≤ 0.01). Values are expressed as mean ± SD; CPM: Control pearl millet; GPM: Germinated pearl millet; PPM: Puffed pearl millet; CSOR: Control sorghum; GSOR: Germinated sorghum; PSOR: Puffed sorghum

Fig. 1.
Fig. 1.

Percent consumer acceptability of porridge, bun, and salad

Citation: Acta Alimentaria 52, 3; 10.1556/066.2022.00144

3.2 Nutritional evaluation

Chemical composition of most accepted porridge is delineated in Table 3. The protein content was found to be significantly (P ≤ 0.05) higher in GPM porridge, owing to utilisation of carbohydrates and fats during respiration and synthesis of amino acids (Jan et al., 2017). The significant (P ≤ 0.05) reduction of carbohydrates in GPM porridge may be due to increased α-amylase activity, hydrolysing starch to simple sugars in cotyledon providing energy for cell division (Nonogaki et al., 2010).

Table 3.

Proximate composition of porridge, bun, and salad

Composition of food productMoisture (%)Ash (%)Crude protein (%)Crude fat (%)Crude fibre (%)Carbohydrates (%)Energy (KCal)
Porridge (50%)
CPM2.79b ± 0.244.67a ± 0.2715.44b ± 0.456.38a ± 0.142.37a ± 0.4967.56a ± 0.93363.38a ± 1.16
GPM6.59a ± 0.144.77a ± 0.4716.85a ± 0.537.96a ± 3.152.35a ± 0.0961.48b ± 3.48384.96ab ± 16.61
Bun (15%)
CSOR5.20a ± 0.082.58a ± 0.0710.74a ± 0.514.85a ± 0.920.34b ± 0.0576.30a ± 1.24391.79a ± 5.33
PSOR4.90a ± 0.192.50a ± 0.0910.48a ± 1.054.32a ± 0.350.44a ± 0.0277.21a ± 1.41390.25a ± 2.09
Salad (100%)
GPM4.13 ± 0.045.40 ± 0.1112.66 ± 0.874.57 ± 0.292.23 ± 0.1171.01 ± 1.13375.82 ± 1.52

Mean values with different superscript are significantly different (P ≤ 0.05) using Tukey's test, CPM: Control pearl millet; GPM: Germinated pearl millet; PPM: Puffed pearl millet; CSOR: Control sorghum; GSOR: Germinated sorghum; PSOR: Puffed sorghum

Significantly (P ≤ 0.05) higher dietary fibre content was detected in GPM porridge (Table 4), perhaps due to surged activity of xylanases during germination, solubilising arabinoxylans (Maina et al., 2021). Total phenols and flavonoids amounts were significantly (P ≤ 0.05) higher in GPM porridge that could be due to stimulation of enzyme phenylalanine ammonia-lyase, responsible for biosynthesis of phytochemicals (phenols and flavonoids) (Nkhata et al., 2018). Tannin contents reduced significantly (P ≤ 0.05) in GPM porridge, owing to leaching of dispersible portion and accelerated by subsequent germination (Hussain et al., 2011). This observation was in line with the results of Sharma et al. (2015), whereby, germination significantly (P ≤ 0.05) increased (27.10–57.72 mg RU/g) total flavonoids amounts but decreased (2.803–0.983 mg/100 g) tannin content of foxtail millet.

Table 4.

Nutritional parameters of most accepted food products

Composition of food productTotal dietary fibre (%)Total phenols (mg GAE/100 g)Tannins (mg/100 g)Total flavonoids (mg RE/100 g)In vitro starch digestibility (mg maltose released/g)DPPH TAC (mg TE/100 g)FRAP TAC (mg TE/100 g)
Porridge (50%)
CPM13.56b ± 0.58120.72b ± 2.16266.33a ± 7.44184.79b ± 3.8350.33b ± 2.28913.90b ± 3.82142.36b ± 1.42
GPM15.98a ± 0.22178.75a ± 2.81209.18b ± 5.34253.48a ± 2.3070.40a ± 2.641,035.92a ± 8.48189.23a ± 19.50
Bun (15%)
CSOR3.63b ± 0.5768.86a ± 1.3966.01a ± 3.38148.04a ± 3.0357.58b ± 0.831709.57a ± 13.27106.90a ± 2.69
PSOR4.92a ± 0.2564.68b ± 1.7168.71a ± 4.29115.49b ± 3.0162.97a ± 2.981,541.01b ± 71.1284.01b ± 1.86
Salad (100%)
GPM14.88 ± 0.76140.06 ± 4.1455.81 ± 6.46281.13 ± 2.0925.16 ± 2.10616.40 ± 9.43227.89 ± 22.70

Mean values with different superscript are significantly different (P < 0.05) using Tukey's test, CPM: Control pearl millet; GPM: Germinated pearl millet; CSOR: Control sorghum; PSOR: Puffed sorghum

A significant (P ≤ 0.05) increase in in vitro starch digestibility was observed in GPM porridge, attributed to enhanced amylase activity, hydrolysing complex starch to simpler by-product. Total antioxidant (DPPH and FRAP) value was observed to be significantly (P ≤ 0.05) higher in GPM porridge attributed to raised levels of antioxidative enzymes, superoxide-dismutases, glutathione-S-transferase, peroxidises, and catalases due to germination.

Analysis of crude fibre (Table 3) displayed a significant (P ≤ 0.05) increase of 29.4% in PSOR bun. Similar results were reported by Kumari et al. (2018) demonstrating a notable increase in crude fibre of PM varieties post popping owing to loss of moisture. Significantly (P ≤ 0.05) higher dietary fibre was observed in PSOR bun (Table 4), owing to increase in β-glucan availability post sand roasting, due to release of bound β-glucan by the thermal effect of puffing (Kora, 2019). Total phenolic and flavonoid contents of PSOR bun reduced significantly (P ≤ 0.05) by 6.07% and 22%, respectively. Likewise, Devi et al. (2020) reported a reduction of about 50% in phenols and 35% in flavonoids associated to thermal degradation of heat-labile phenols and flavonoids along with dissociation of bran post popping makhana (foxnut) kernel.

Significantly (P ≤ 0.05) higher in vitro starch digestibility was observed in PSOR bun due to puffing, which enhanced gelatinisation of starch (Huang et al., 2018). Total antioxidant activity reduced significantly (P ≤ 0.05) in PSOR bun, which might be due to decomposition of phytochemicals along with detachment of bran during puffing.

Prepared salad recipe contained remarkable amount of crude protein (12.7%) (Table 3) with dietary fibre and total phenol contents of 14.88% and 140.1 mg GAE/100 g, respectively, with a low tannin content of 55.81 mg/100 g (Table 4). Total antioxidant capacities by DPPH and FRAP of GPM salad were 616.4 and 227.9 mg TE/100 g, respectively.

3.3 Determination of glycaemic index and glycaemic load

The blood glucose response (mg dL−1) of reference and test foods is displayed in Fig. 2. The area under curve (Table 5) for most accepted porridge (50% GPM), bun (15% PSOR), and salad (100% GPM) were considerably lower than glucose. Results indicated that prepared diabetic foods had low GI with medium to low GL (Table 6). In contrast to GI of these recipes, the GI of food contemporaries as reported by Atkinson et al. (2008) were also analysed. GPM porridge had GI 52.5% lower than wheat porridge with reported GI of 55. Likewise, bun made from refined and whole wheat flour had GI of 75 and 74, respectively, while 15% supplementation of PSOR flour reduced GI by about 64.3%. Salad (100% GPM) had GI 44.9% less than gram sprout salad with GI of 32.

Fig. 2.
Fig. 2.

Graphical representation of blood glucose response of most accepted food products

Citation: Acta Alimentaria 52, 3; 10.1556/066.2022.00144

Table 5.

Incremental area under blood glucose response curve (iAUC) of porridge, bun, and salad

Time (min)Glucose standardPorridgeBunSalad
Blood glucose (mg dL−1)Blood glucose increment Δ (mg dL−1)Blood glucose (mg dL−1)Blood glucose increment Δ (mg dL−1)Blood glucose (mg dL−1)Blood glucose increment Δ (mg dL−1)Blood glucose (mg dL−1)Blood glucose increment Δ (mg dL−1)
063.7562.1363.8862.8
15103.1339.3876.0113.9378.1914.3164.651.85
30142.5078.7589.9127.8292.5028.6366.503.70
45139.2575.5085.2023.2287.6923.8169.306.50
60136.0072.2580.5818.5282.8819.0072.109.30
90114.0050.2571.459.3973.509.6382.2019.40
12099.3835.6364.892.8166.752.8875.3012.50
Area (mg × min dL−1)6,5721,7151,7611,160

Mean values for incremental area under curve (iAUC)

Table 6.

GIycaemic index and glycaemic load of food products

Food productGIGLCategory
GIGL
Glucose standard100.0050.00HighHigh
Porridge26.1013.05LowMedium
Bun26.7913.40LowMedium
Salad17.648.82LowLow

4 Conclusions

Germinated pearl millet was most suitable for porridge and salad, while puffed sorghum for bun. GPM porridge had significantly higher protein, total phenols, and antioxidants. Dietary fibre and in vitro starch digestibility of GPM porridge and PSOR bun were significantly better. These compositions had low GI and medium to low GL.

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Senior editors

Editor(s)-in-Chief: András SALGÓ

Co-ordinating Editor(s): 

Marianna TÓTH-MARKUS

Co-editor(s): 

Anna HALÁSZ

Editorial Board

  • László ABRANKÓ (Hungarian University of Agriculture and Life Sciences, Budapest, Hungary)
  • Tamás ANTAL (University of Nyíregyháza, Nyíregyháza, Hungary)
  • Diána BÁNÁTI (University of Szeged, Szeged, Hungary)
  • József BARANYI (Institute of Food Research, Norwich, UK)
  • Ildikó BATA-VIDÁCS (Eszterházy Károly Catholic University, Eger, Hungary)
  • Ferenc BÉKÉS (FBFD PTY LTD, Sydney, NSW Australia)
  • György BIRÓ (Budapest, Hungary)
  • Anna BLÁZOVICS (Semmelweis University, Budapest, Hungary)
  • Francesco CAPOZZI (University of Bologna, Bologna, Italy)
  • Marina CARCEA (Research Centre for Food and Nutrition, Council for Agricultural Research and Economics Rome, Italy)
  • Zsuzsanna CSERHALMI (Budapest, Hungary)
  • Marco DALLA ROSA (University of Bologna, Bologna, Italy)
  • István DALMANDI (Hungarian University of Agriculture and Life Sciences, Budapest, Hungary)
  • Katarina DEMNEROVA (University of Chemistry and Technology, Prague, Czech Republic)
  • Mária DOBOZI KING (Texas A&M University, Texas, USA)
  • Muying DU (Southwest University in Chongqing, Chongqing, China)
  • Sedef Nehir EL (Ege University, Izmir, Turkey)
  • Søren Balling ENGELSEN (University of Copenhagen, Copenhagen, Denmark)
  • Éva GELENCSÉR (Budapest, Hungary)
  • Vicente Manuel GÓMEZ-LÓPEZ (Universidad Católica San Antonio de Murcia, Murcia, Spain)
  • Jovica HARDI (University of Osijek, Osijek, Croatia)
  • Hongju HE (Henan Institute of Science and Technology, Xinxiang, China)
  • Károly HÉBERGER (Research Centre for Natural Sciences, ELKH, Budapest, Hungary)
  • Nebojsa ILIĆ (University of Novi Sad, Novi Sad, Serbia)
  • Dietrich KNORR (Technische Universität Berlin, Berlin, Germany)
  • Hamit KÖKSEL (Hacettepe University, Ankara, Turkey)
  • Katia LIBURDI (Tuscia University, Viterbo, Italy
  • Meinolf LINDHAUER (Max Rubner Institute, Detmold, Germany)
  • Min-Tze LIONG (Universiti Sains Malaysia, Penang, Malaysia)
  • Marena MANLEY (Stellenbosch University, Stellenbosch, South Africa)
  • Miklós MÉZES (Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary)
  • Áron NÉMETH (Budapest University of Technology and Economics, Budapest, Hungary)
  • Perry NG (Michigan State University,  Michigan, USA)
  • Quang Duc NGUYEN (Hungarian University of Agriculture and Life Sciences, Budapest, Hungary)
  • Laura NYSTRÖM (ETH Zürich, Switzerland)
  • Lola PEREZ (University of Cordoba, Cordoba, Spain)
  • Vieno PIIRONEN (University of Helsinki, Finland)
  • Alessandra PINO (University of Catania, Catania, Italy)
  • Mojmir RYCHTERA (University of Chemistry and Technology, Prague, Czech Republic
  • Katharina SCHERF (Technical University, Munich, Germany)
  • Regine SCHÖNLECHNER (University of Natural Resources and Life Sciences, Vienna, Austria)
  • Arun Kumar SHARMA (Department of Atomic Energy, Delhi, India)
  • András SZARKA (Budapest University of Technology and Economics, Budapest, Hungary)
  • Mária SZEITZNÉ SZABÓ (Budapest, Hungary)
  • Sándor TÖMÖSKÖZI (Budapest University of Technology and Economics, Budapest, Hungary)
  • László VARGA (Széchenyi István University, Mosonmagyaróvár, Hungary)
  • Rimantas VENSKUTONIS (Kaunas University of Technology, Kaunas, Lithuania)
  • Barbara WRÓBLEWSKA (Institute of Animal Reproduction and Food Research, Polish Academy of Sciences Olsztyn, Poland)

 

Acta Alimentaria
E-mail: Acta.Alimentaria@uni-mate.hu

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Acta Alimentaria
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Acta Alimentaria
Language English
Size B5
Year of
Foundation
1972
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia    
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0139-3006 (Print)
ISSN 1588-2535 (Online)

 

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