Research Article | | Peer-Reviewed

Technological and Nutritional Properties of Four Varieties of Sorghum Grains Used in Mali

Received: 21 October 2024     Accepted: 7 November 2024     Published: 3 December 2024
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Abstract

Sorghum (Sorghum bicolor L.) is one of the main cereals widely consumed in Mali. The aim of this study was to contribute to a better understanding of the technological and nutritional properties of four varieties of sorghum (“Duguyiriwa”, “Jakumbe”, “Seguifa”, and “Kenikedje”) consumed in Mali. The physicochemical properties, macronutrients, and micronutrients were determined using gravimetric, spectrophotometric and HPLC methods. Antinutritional factors (ANFs) were determined spectrophotometrically. Furthermore, the technological properties were estimated through the grinding yield, water solubility index (WSI), and absorption capacity of water (WAC) and oil (OAC) via the gravimetric technique. The physical characteristics revealed that the grains from all the varieties were the same forms and sizes, whereas they were different in color and weight. Overall, these grains can be easily stored due to their low humidity (7.28±0.09–8.49±0.20%) and free acidity (< 0.10 °Dornic). The varieties are relatively rich in macronutrients: proteins (5.32–6.38%), carbohydrates (79.90–80.94%) and fibers (2.45–2.84%). In addition, they are potential sources of micronutrients such as potassium, phosphorus, magnesium, calcium and iron. Thin layer chromatography (TLC) highlighted the presence of lysine (an essential amino acid) in all the samples, except Kenikedje. These nutritional values could be reinforced by the nonharmful levels registered with antinutritional factors (ANFs): lectins (0.64–2.52 mg equivalents SAB/100 g) and tannins (0.07–0.13 mg equivalents AG/100 g). Analysis of technological performance revealed that all the investigated varieties possessed good processing abilities. Higher grinding yields (> 92%) and water absorption capacities (WAC > 67%) were observed for all varieties. In terms of technological transformation, the Duguyiriwa sample was the best variety because it presented the highest WAC (74.37±1.44%) and lowest oil absorption capacity (OAC = 8.97±0.05%). In summary, these sorghum varieties are potential sources of nutrients and have good technological processing ability.

Published in International Journal of Nutrition and Food Sciences (Volume 13, Issue 6)
DOI 10.11648/j.ijnfs.20241306.16
Page(s) 291-305
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Sorghum Varieties, Physicochemical, Nutrition, Technology, Mali

1. Introduction
To achieve food self-sufficiency, Malian authorities have focused agricultural research and policies on the cereal sector. In 2023, aggregate cereal production in Mali was estimated at 10 million tons, approximatively . For decades, cereal production has been constrained by an erratic rainfall distribution, a short rainy season, degraded soils, and high costs of inputs, which negatively affect production yields. To address these challenges, it is essential to enhance sustainable crop production, resilient value chains and consumer access to affordable and varied diets . Sorghum (Sorghum bicolor (L.) Moench), known for its resilience and multipurpose uses, serves as a crucial staple food for many rural communities in the drier regions of Africa , can contribute to this solution as an affordable source of nutrients for healthy diets . According to the same source, sorghum ranks third among major staple food crops in Mali, and along with pearl millet, sorghum accounts for 60% of the cereal-cultivated land. National statistics reveal that sorghum production levels doubled between 1964–1999 and 2000–2013 , with an overall increase in total consumption of 28% .
To maintain and increase high grain production, a number of experimental trials have been carried out on new collections of local sorghum and improved genetic collections from other sorghum breeding programs worldwide . International and national research institutes, farmer grassroots organizations, and Non-Governmental Organizations (NGOs) in Mali were involved in improving the adoption rates of these sorghum varieties. This fruitful collaboration has resulted in the development of high-yield improved varieties (such as hybrid, open-pollinated and dual-purpose varieties) and the provision of technological packages (disease control techniques, microdoses, and postharvest management techniques) to better understand biotic and abiotic stresses at the farmer level .
Agricultural research has made substantial contributions to sorghum productivity in Mali, resulting in the registration of an impressive record for the production of new and well-performing sorghum varieties. Since 2000, more participatory breeding and multilocational testing of varieties have been conducted at earlier stages development, bringing farmers closer to scientific research and promoting a more decentralized seed distribution system . These efforts have led to the dissemination of 38 sorghum varieties across different regions of Mali, 13 of which have been released since 2008, with 11 being hybrids .
To date, research and collaboration on sorghum have focused on increasing grain productivity and environmental and disease resistance. These efforts have successfully addressed production challenges, resulting in significant yield advantages over traditional varieties. Among the improved sorghum varieties disseminated in Mali, Duguyiriwa, Jakumbe, Seguifa, and Kenikedje have been subject of numerous scientific investigations, which have largely focused on their adoption and genetic characteristics . However, to fully harness sorghum's potential in addressing malnutrition, food security, and poverty reduction, greater emphasis must also be placed on its nutritional quality and technological development . This study aims to explore the technological and nutritional properties of grains from these four improved Sorghum cultivars developed in Mali.
2. Materials and Methods
2.1. Plant Material
The grains of four varieties of sorghum, Duguyiriwa, Jakumbe, Seguifa and Kenikedje (Table 1), were used as the plant material.
Table 1. Characteristics of sorghum varieties collected. Characteristics of sorghum varieties collected. Characteristics of sorghum varieties collected.

Name

Type

Adaptation zone

Rainfall isohyet (mm)

Plant height (m)

Release year

Cycle length to maturity (days)

Duguyiriwa (016-SB-BC1F6-1090)

OPV

Sahelian

400-800

2.15

2023

95 - 100

Jakumbe (CSM 63E)

OPV

Sahelian

500 - 800

3

1984

100

Seguifa (Malisor 92-I)

Hybrid

Sahelian

500 - 600

2

1995

100

Kenikedje (97-SB-F-5DT-64)

OPV

Sudanian

600 - 800

2.5

2002

110

* OPV: Open pollinated variety; Source:
2.2. Methods
2.2.1. Physicochemical Characterization
(i). Physical Characterization
The physical characterization was carried out using the methods described in the literature . The color and shape of the grains were determined through visual inspection. Their dimensions were measured with a ruler graduated in mm. The gravimetric method, which uses an electric balance, was used to assess the weights of sorghum grains in batches of 1,000.
(ii). Chemical Characterization
Free acidity
A mass of 1 g of flour sample was dissolved in 10 mL of distilled water. A few drops of 1% alcoholic phenolphthalein solution were added. This solution was titrated with a 0.1 N sodium hydroxide (NaOH) solution until it turned pink . Free acidity was expressed in milliequivalents per 100 g of sample (meq/100 g) and then translated into Dornic degree (°Dornic) using the respective equations below.
Freeacidity(meq/100g)=(N1x105)/mwhereN1=N2 x V2V1(1)
Freeacidity(°Dornic)=Free acidity (meq100 g)0.1(2)
V1 = Volume of sample solution taken (mL);
V2 = Volume of NaOH added (mL);
N1 = Normality of sample solution taken;
N2 = Normality of NaOH (= 0.1);
m = mass of sample taken (g).
Moisture and dry matter
For the determination of moisture in cereals, oven-drying methods are obviously the first choice because of their speed and simplicity.
The moisture and dry matter contents were performed by differential weighing according to the literature . Ten grams (10 g) of sample powder was weighed in a crucible before and after drying in an oven at 105°C for 24 h. The dry matter and humidity contents were calculated based on the formula below.
Drymatter(%)=Weigh of crucible before oven (g)Weigh of crucible after oven (g)*100(3)
Moisture(%)=100-Drymatter(%)(4)
Total ashes
Incineration method was used to assess total ashes contents.
Five grams (5 g) of sample powder were introduced into a porcelain crucible, which was then placed inside an oven at 550°C ± 5°C for 4 hours. Total ashes levels were calculated according to the following equation .
Totalash(%)=Weigh of ash (g)Test intake (g)*100(5)
2.2.2. Determination of Nutritional Characteristics
(i). Total Proteins and Amino Acid Profile
Total proteins
Total proteins were assayed using the Kjeldahl method . A mass of 0.2 g of powder was introduced into a flask containing 5 g of mixed catalyst and 10 mL of 0.1 N H2SO4. The contents were disaggregated on a Kjel-Digester (k-446) at 400°C for 15 min to mineralize and distilled within 4 min. The mineralized substrate was purified by distillation. After titration with H2SO4, the nitrogen (N) concentration was quantified using the equation below. The total protein content was then deduced from the nitrogen content using a conversion coefficient of 6.25.
(%)=V1-V2 x [C x 14.0067 x 0.1]Test intake (g)(6)
V1: Volume of H2SO4
V2: Volume of blank
C: Concentration of H2SO4
Totalproteins(%)=Nitrogen(%)x6.25(7)
Amino acid profile
Thin layer chromatography (TLC) was used to identify the amino acid profiles of the samples. Approximately 10 µL of aqueous extract from each sample was deposited on a silica gel plate with a total migration distance of 10 cm. Available standard amino acids in the laboratory were also deposited. After approximately 5 min of air-drying, this plate was introduced into a glass migration vessel containing an eluent composed of butanol, acetic acid, and water (7–3–2; v/v/v). After approximately 2 h of migration, a 1% ninhydrin solution was used to reveal the spots, and retention factors were calculated according to the following formula . Amino acids contained in the samples were identified by comparing their retention factors to those of the available standard amino acids.
RetentionFactor=Distance travelled (cm)Total distance (cm)(8)
(ii). Fat Contents
The delipidation method was used to estimate fat contents . A test portion of 1 g of sample was introduced into 10 mL of hexane, and the mixture was centrifuged at 4000 RPM for 10 min. The supernatant was poured off, and the powder was taken up again in 10 mL of hexane. This operation was repeated three times, and the resulting delipidated powder was recovered on blotting paper. After air-drying for 30 min, the delipidated powder was reweighed, and the fat contents were deduced according to the following equation.
Fatcontents(%)=Weight of delipidated powder (g)Test intake (g)x100(9)
(iii). Carbohydrates and Starch
Total carbohydrates
The total carbohydrate contents were determined via the difference method as reported in the literature on the basis of the equation below .
Carbohydrates(%)=100–[%Moisture+%Protein+%Fat+%Ash](10)
Total starch, amylose and amylopectin contents
Extraction: A flour sample (0.1 g) was added to a tube containing 5 mL of 1 N KOH. After homogenization, this mixture was neutralized by adding 5 mL of 1 N HCL solution and then boiled for 15 min. After cooling, the mixture was centrifuged at 4000 rpm for 5 min, and the supernatant was recovered for total starch, amylose and amylopectin quantification .
Dosage: A volume of 100 µL of extract, 5 mL of distilled water and 50 µL of lugol were added in sequence to a test tube. The mixture was homogenized and incubated for 5 min at room temperature. The absorbances were read with a spectrophotometer (Thermo Fischer Biomate 3S, Madison, WI53711, USA) at 580 nm for total starch and at 720 nm for amylopectin. A standard starch solution was used to establish the calibration curve. The contents of total starch and amylopectin were deduced from linear regression equations, whereas that of amylose was deduced by differential calculation according to the following equation.
Amylose(%)=starch(%)–amylopectin(%)(11)
(iv). Energy Value
Atwater coefficients was employed to determine the energy value .
Energy(Kcal/100gDM)=[(%proteins×4kcal)+(%carbohydrates×4kcal)+(%lipids×9kcal)+(%fibers×2kcal)](12)
(v). Mineral Contents
Iron (Fe)
The spectrophotometric method based on orthophenanthroline reagent was employed to assess the iron levels. A 50 mL volume of aqueous sample extract was mixed with 1 mL of hydroxylamine chloride solution, 2 mL of acetate buffer solution and 2 mL of phenanthroline solution. After incubation for 15 min, the absorbances were read with a spectrophotometer (ONDA V-10 plus) at 510 nm. A linear regression equation, established with a standard solution, was used to calculate the ferrous ion content.
Phosphates (P)
A volume of 40 mL of sample extract was introduced into a flask. To this mixture, 4 mL of ammonium molybdate reagent and a spatula tip of ascorbic acid were added before boiling. After cooling, the solution was read with a spectrophotometer (ONDA V-10 plus) at 610 nm. A linear regression equation established with a standard solution was used to calculate the phosphate content.
Potassium (K), calcium (Ca), and magnesium (Mg)
High-performance liquid chromatography (HPLC: 881 Compact IC Pro) was used for the determination of the following minerals: calcium (Ca), magnesium (Mg), and potassium (K).
For each mineral element, a calibration range (10 - 100 mg/L) was established from the standards.
One gram of ground sample was diluted in a 250 mL flask with 5 mL of 0.01 mol/L nitric acid (pH 2 to 2.5). A volume of 2 mL was withdrawn and filtered through a 0.45 µm diameter filter. After shaking, 2 mL of the appropriate dilution for each sample was injected into the chromatograph. The concentrations of K, Ca and Mg were deduced from the linear regression equations derived from the calibration curves previously established .
(vi). Antinutritional Factors (ANFs) Levels
Antinutritional factors (ANFs), also known as antinutrients, can be classified into two major groups. One group consists of proteins (such as lectins, cyanogenic glycosides and protease inhibitors), which are sensitive to normal processing temperatures (heat-labile), and the second consists of other substances that are stable or resistant to these temperatures (heat-stable), including many other polyphenolic compounds (mainly condensed tannins, phytic acids), nonprotein amino acids and galactomannan gums .
In this work, lectins (heat-labile ANFs) and condensed tannins (heat-stable ANFs) were chosen to determine their levels in our samples spectrophotometrically via the Folin–Ciocalteu reagent.
Condensed tannins
Extraction: For extraction of tannins, a mixture consisting of 0.1 g of plant material dissolved in 20 mL of acetone-water (7:3; v/v) was placed in an ultrasonic bath for 10 min. The mixture was then filtered through filter paper. The same operation was repeated three times with the recovered pellet to maximize the extraction. The filtrates were added and concentrated via an evaporator (Buchi R-100) to remove the organic phase (acetone). The concentrated solution was recovered and saturated with sodium chloride to precipitate the tannins. After the mixture was centrifuged at 3500 rpm for 10 min, the pellet was recovered and dissolved in 2 mL of distilled water .
Dosage: To 1 mL of extract, 1 mL of distilled water, 200 µL of ethanol or 100 µL of concentrated Folin-Ciocalteu reagent was added. After homogenization, the mixture was incubated for 5 min at room temperature (25–30°C). Afterward, 200 µL of 7% ammonium carbonate was added. After incubation in the dark for 1 h, the absorbances were read at 725 nm via a spectrophotometer (Thermo Fischer Biomate 3S, Madison, WI53711, USA) .
Lectins
Extraction: One gram (1 g) of sample dissolved in 10 mL of distilled water was homogenized for 5 min and then placed in an ultrasonic bath (Elma S15) for 10 min. After centrifugation at 4000 rpm for 10 min, the supernatant was collected for lectin quantification.
Dosage: In a tube containing 1.9 mL of physiological water, 100 µL of extract was added, and the mixture was incubated for 10 min at room temperature. Then, 100 µL of Folin-Ciocalteu reagent and 1 mL of working solution (mixture of 2% Na2CO3 solution in 0.1 N NaOH (W/V), 1% CuSO4 solution in distilled water (W/V) and 2.4% Na-K double tartrate solution in distilled water (W/V)) were added. After 60 min of incubation in the dark, the absorbances were read at 750 nm via a spectrophotometer (Thermo Fischer Biomate 3S, Madison, WI53711, USA) .
2.2.3. Determination of Technological Properties
(i). Grinding Yield
Ten grams (10 g) of cereal grain were ground using a grinder (Floria ZLN308G, power 200 W; 50/60 Hz). The obtained powder was collected and weighed. The grinding yield was obtained by the following formula:
Grindingyield(%)=Weight of powder after grinding (g)Test intake (g)x100(13)
(ii). Water Absorption Capacity (WAC) and Water Solubility Index (WSI)
In a centrifuge tube of known initial weight (M0), 1 g of flour was mixed with 10 mL of distilled water. The mixture was kept in a water bath at 37°C for 30 min and then centrifuged at 4000 rpm for 10 min before recovering and reweighing the wet pellet (M1). The pellet was oven-dried at 105°C to a constant weight (M2) .
The WAC was calculated via the following formula:
WAC (%)=M1 - M2M1 x100(14)
M1: mass of wet power before oven drying (g)
M2: mass of power after oven drying (g)
The water solubility index (WSI) was calculated using the method of .
WSI=Test intake g- M2Test intake (g) (15)
(iii). Oil Absorption Capacity (OAC)
A test portion of 1 g of flour was dispersed in 10 mL of oil. After shaking for 30 min, followed by centrifugation at 4000 RPM for 10 min, the pellet was recovered and weighed.
The OAC is obtained using the following equation:
OAC (%)=Fatty power g- Test intake (g)Test intake (g) x100(16)
(iv). Hydrophilic-lipophilic (HL) Ratio
The hydrophilic‒lipophilic ratio was used to evaluate the comparative affinity of the flours for water and oil. It corresponds to the ratio of the water absorption capacity (WAC) to the oil absorption capacity (OAC), which is estimated according to the following equation:
HL ratio (%)=Water absorption capacity (WAC) Oil absorption capacity (OAC)x100(17)
(v). Fibers
One gram (1 g) of flour was boiled in 50 mL of 0.25 N sulfuric acid (H2SO4). The residue was then boiled in 50 mL of 0.31 N sodium hydroxide for 1 h. The residue obtained was dried at 105°C in the oven for 8 h and then incinerated at 550°C for 3 h. The ash was weighed to determine the fiber content via the following formula .
Fibers (%)=Weigt of residue (g)Test intake (g) x100(18)
2.2.4. Data Analysis
The data were analyzed using Minitab software 18.1. Analysis of variance (ANOVA) using the Fischer test was used to compare the means at a threshold of 0.05.
3. Results
3.1. Physicochemical Characteristics
To assess the physicochemical characteristics of our sorghum samples, shape, size and color were observed. The pH, humidity, dry matter, free acidity and total ash contents were determined.
3.1.1. Physical Characteristics
The results of physical characteristics such as color, form and size of grains are shown in Table 2 below.
The grains of the three sorghum varieties “Duguyiriwa”, “Jakumbe” and “Seguifa” were brown‒white, whereas those of the “Kenikedje” variety were white. All these grains had the same form (spherical or ovoid) and the same size (3.33±0.57–3.50±0.50 mm). The weight of the 1000 grains varied among the varieties (p value = 0.0026E-2 < 0.05) from 16.13±0.22 to 23.93±1.04 g (Table 2).
Table 2. Physical characteristics of sorghum grains. Physical characteristics of sorghum grains. Physical characteristics of sorghum grains.

Varieties of sorghum

Color

Form

Size (mm)

Weight of 1000 grains (g)

Duguyiriwa

Brown-white

Spheric

3.50±0.50a

22.20±0.73b

Jakumbe

Brown-white

Spheric

3.50±0.50 a

23.93±1.04a

Kenikedje

White

Spheric

3.33±0.57 a

16.13±0.22c

Seguifa

Brown-white

Spheric

3.50±0.50 a

22.49±1.25ab

*The means values having different superscript letters within a column were significantly different (p < 0.05).
3.1.2. Chemical Characteristics
The characterization results are shown in Table 3.
Table 3. Chemical characteristics of sorghum grains.

Samples

Humidity (%)

Dry matter (%)

Total ashes (%)

Free acidity (° Dornic)

Duguyiriwa

8.49±0.20a

91.50±0.20c

1.93±0.11a

0.05±0.00b

Jakumbe

7.28±0.09c

92.71±0.09a

1.45±0.10b

0.04±0.00b

Kenikedje

7.66±0.27bc

92.33±0.27ab

0.68±0.05c

0.04±0.00b

Seguifa

8.07±0.31ab

91.93±0.31bc

1.78±0.04a

0.06±0.00a

P-value

0.0014

0.0014

0.0000003

0.00002

*The means values with different superscript letters within a column are significantly different (p < 0.05).
All the chemical parameters were found to be statistically significant (p value < 0.05). All the grain samples of the four sorghum varieties were very slightly acidic (< 0.10 ° Dornic). Low levels of humidity (7.28±0.09 to 8.49±0.20%) were detected in all the grains, with the highest values observed in the Duguyiriwa and Seguifa varieties. In contrast, these grains were rich in dry matter ranging from 91.50±0.20 to 92.71±0.09%. The highest total ash contents were recorded in the Duguyiriwa (1.93±0.11%) and Seguifa (1.78±0.04%) samples, whereas the lowest level was observed in the Kenikedje variety (0.68±0.05%).
3.2. Nutritional Composition
3.2.1. Macronutrients Levels
The macronutrient (total protein, carbohydrate, and fat) contents in addition to the fiber and caloric value contents of the samples are summarized in Table 4.
Table 4. Levels of macronutrients of sorghum varieties.

Varieties

Proteins (%)

Fats (%)

Carbohydrates (%)

Crude fibers (%)

Energy power (kcal/100 g)

Duguyiriwa

5.32±0.42b

3.32±0.28b

80.94±0.80ab

2.84±0.25a

380.59±1.43c

Jakumbe

5.57±0.08b

5.80±0.26a

79.90±0.41c

2.83±0.43a

399.72±1.57a

Kenikedje

6.42±0.36a

3.56±0.33b

81.67±0.38a

2.46±0.23a

389.36±1.84b

Seguifa

6.38±0.45a

3.65±0.30b

80.12±0.48bc

2.45±0.36a

383.77±2.53c

P-value

0.0110

0.0022E-2

0.0144

0.3419

0.0008-E2

DRV (g)

50

78

275

28

*The means values with different superscript letters within a column are significantly different (p < 0.05).
DRV: Daily reference values based on the reference caloric intake of 2,000 calories for adults and children aged 4 years and older .
A part of fibers contents, all estimated parameters have statistically varied from one sample to another (p-value < 0.05). Samples were strongly rich in total carbohydrates with levels varied from 79.90±0.41% for Jakumbe sample to 81.67±0.38% for Kenikedje sample (Figure 2). Kenikedje variety with 6.42±0.36 % and Seguifa variety with 6.38±0.45% exhibited the highest number of proteins. These investigated sorghum samples were fairly rich in calory (380.59±1.43 - 399.72±1.57 kcal/100 g) and low in fats with a maximum of 5.80±0.26 % for Jakumbe sample.
3.2.2. Amino Acid Profile
The chromatographic profile of the amino acids obtained from the TLC plate is shown in Table 5 below.
Table 5. Amino acid profile.

Samples

Ala

Cys

Glu

Gly

Lys

Leu

Met

Arg

Tyr

Duguyiriwa

+

+

+

+

+

+

+

+

+

Jakumbe

+

+

+

-

+

+

+

+

+

Kenikedje

+

+

+

-

-

+

+

+

+

Seguifa

+

+

+

+

+

+

+

+

+

*+: Present; -: Absent; Ala: Alanine; Cys: Cysteine; Glu: Glutamic Acid; Gly: Glycine; Lys: Lysine; Leu: Leucine; Met: Methionine; Arg: Arginine; Tyr: Tyrosine.
Among the 9 investigated available amino acids, 7 were identified in all varieties of sorghum: cysteine, glutamic acid, lysine, leucine, methionine, arginine, and tyrosine. Among the amino acids characterized, three were essential (methionine, leucine and lysine), and one was semi-essential (arginine). The “Kenikedje” sorghum lacked the amino acids lysine, glutamic acid and alanine. Table 5 shows the absence of lysine (an essential amino acid) in only the Kenikedje variety of sorghum.
3.2.3. Mineral Contents
Five minerals were assessed in the samples and their contents are shown in Table 6.
Table 6. Mineral contents of the different varieties.

Varieties

Calcium (g/100 g)

Potassium (g/100 g)

Phosphorus (g/100 g)

Magnesium (g/100 g)

Iron (mg/100 g)

Duguyiriwa

0.46±0.08a

2.71±0.28b

2.70±0.01a

0.85±0.06c

1.58±0.02a

Jakumbe

0.38±0.01a

1.33±0.03c

0.67±0.04c

1.04±0.03a

1.37±0.03b

Kenikedje

0.37±0.01a

1.40±0.05c

1.53±0.42b

1.01±0.03ab

1.05±0.11c

Seguifa

0.45±0.07a

3.49±0.02a

2.91±0.01a

0.96±0.05b

1.55±0.02a

P-Value

0.1426

0.0015E-4

0.0004E-2

0.0031

0.0014E-2

RDI (g)

1.30

4.70

1.25

0.42

0.018

*The means values having different superscript letters within a column were significantly different (p < 0.05).
RDI: Reference Daily Intakes recommendations for adults and children ≥ 4 years .
Overall, all the mineral levels were significantly different (p value < 0.05), with the exception of the calcium (Ca2+) level (p value = 0.1426 > 0.05). Daily interesting amounts of phosphorus (values > RDI = 1.25 g) and magnesium (values > RDI = 0.42 g) were recorded, with all samples being a part of Jakumbe for phosphorus. Substantial levels of calcium (0.37±0.01–0.46±0.08 g/100 g), potassium (1.33±0.03–3.49±0.02 g/100 g), and iron (1.05±0.11–1.58±0.02 g/100 g) were noted (Table 6).
3.2.4. Antinutritional Factors (ANFs)
The level of antinutritional factors such as tannins and lectins are depicted in the Figure 1.
The data in Figure 1 show that all the samples were very poor in antinutritional elements, and these amounts were sample dependent (p value < 0.05). The concentrations of ANFs varied from 2.97±0.13 to 0.64±0.07 mg equivalent SAB/100 × g for lectins and from 0.06±00 mg to 0.16±0.00 equivalent AG/100 × g for tannins.
Figure 1. Levels of antinutritional factors (lectins and tannins).
3.3. Technological Properties
The grinding yield, crude fiber content, water absorption capacity (WAC), oil absorption capacity (OAC), water solubility index (WSI), and hydrophilic–Lyophilic ratio (HL) were evaluated to determine their technological properties (Table 7). Figure 2 shows the results of the quantitative and qualitative analyses of starch.
Table 7. Technological characteristics.

Varieties

Grinding yield (%)

WSI

WAC (%)

OAC (%)

HL Ratio

Duguyiriwa

94.74±0.42a

0.35±0.03a

74.37±1.44a

8.97±0.05b

8.29±0.21a

Jakumbe

95.80±1.31a

0.26±0.03b

67.20±0.95b

10.76±0.67a

6.26±0.33c

Kenikedje

92.47±2.40a

0.22±0.02bc

67.68±2.13b

9.00±0.00b

7.52±0.24b

Seguifa

94.80±1.31a

0.19±0.01c

69.10±1.65b

10.50±0.50a

6.59±0.44c

p-value

0.129

0.0005

0.002

0.001

0.0002

*The means values with different superscript letters within a column are significantly different (p < 0.05).
WSI: water solubility index; WAC: water absorption capacity; OAC: water absorption capacity; HL ratio: hydrophilic‒lipophilic ratio.
Figure 2. Amounts of starch, amylopectin and amylose per sample.
Except the grinding yield, the technological parameters significantly differed among the varieties. The data in Table 7 show that all four types of sorghum were highly skilled at transformation processes, with high grinding yields ranging from 92.47±2.40 to 95.80±1.31%. Globally, Duguyiriwa presented the best technological parameters, i.e., the highest water solubility index (WSI = 0.35±0.03), water absorption capacity (WAC = 74.37±1.44%) and HL ratio (8.29±0.21).
As shown in the Figure 2, high contents of total starch were detected in the samples, with Duguyiriwa presenting the greatest importance value (77.66±0.22%) and Kenikedje the lowest value (49.98±1.08%). In contrast, the Kenikedje variety could be considered as the best quality among these varieties, regarding to its strongest level of amylose (29.52±1.03%), followed by Duguyiriwa, with 20.20±2.75% amylose; Seguifa, with 19.26±1.70%; and Jakumbe, with 18.76±0.38% amylose (Figure 2).
4. Discussion
4.1. Physicochemical Characteristics
The current work aimed to investigate the physicochemical, nutritional, antinutritional and technological properties of four sorghum varieties (‘Duguyiriwa”, “Jakumbe”, “Seguifa”, and “Kenikedje”).
Physicochemical parameters play a crucial role in determining the quality of sorghum grains. In particular, physical characteristics are among the most important commercial criteria that can condition the selection and purchase of grain by agri-food professionals to address the increasingly pressing needs of their customers, particularly urban consumers . The individual sorghum grains exhibited a consistent spherical shape but varied in color, ranging from brown to white. These physical features affect end product quality and represent a major criteria for farmers when selecting a sorghum variety . The average sizes of 1000 grains (3.33–3.50 mm) were statistically the same for all varieties (p value > 0.05). In contrast, the weight of 1000 grains varied significantly from 23.93±1.04 g for the Jakumbe sample to 16.13±0.22 g for the Kenikedje sample. These values are considerably lower than those reported by Patekar et al. with other cultivars of sorghum (33.10 to 34.30 g). These data revealed that the three sorghum varieties (Duguyiriwa, Jakumbe and Seguifa) presented significantly greater weights, suggesting higher productivity rate compared to the Kenikedje cultivar. These findings are consistent with studies that demonstrate varietal innovation or improvement enhances agricultural productivity , thereby contributing to the food security and increasing small farmers’ incomes . Numerous factors, such as genotypic, meteorological factors, poor rainfall and lack of training of farmers, methods of farming and seeding periods are incriminated to influence this variation .
The titratable acidity assessment is an important parameter in the quality control of cereal, control of cereal, as it reflects microbial activity. Our data revealed that all the tested cultivars presented lower acidity values ranging from 0.04 to 0.06 °Dornic (i.e., pH << 7). These findings support those reported in the literature. For example, Chantereau et al. reported an acidity of 0.09% with sorghum grains, and Jocelyne et al. reported 3.97 mEq/100 g DM with white sorghum (Kenikedje variety). This low acidity is unsuitable for yeast and mold growth .
The moisture and total ash contents were varietal dependent and ranged from 7.28 to 8.49% and 0.68 to 1.93%, respectively. These results were similar to those of other sorghum varieties, where the mean values varied from 8.2 to 7.0% for moisture and from 1.15 to 1.45% for total ashes . Higher moisture (11.57%) and ash (4.16%) contents were found in other studies carried out on the Kenikedje cultivar . Currently, moisture content is one of the fundamental metrics by which the grain industry operates. Moisture levels impact facility design and operations, as well as the marketing of grain products. In this context, it has been suggested that reducing moisture content is crucial to extending the shelf-life of foodstuffs . The moisture content is defined as the weight lost by a substance until a constant weight is reached; under such conditions, this substance does not undergo any detectable alteration other than the reversible loss of moisture . On the basis of this definition, a lower moisture content (< 10%) is recommended for better conservation.
4.2. Nutritional Characteristics
With respect to population growth coupled with climate change, there is a pressing need to innovate or improve sorghum varieties that are both more productive and resistant to pests and diseases . For instance, approximately 30% of the sorghum zone has been planted with improved varieties since the mid-1990s . However, it is also important that these varieties possess high nutritional quality. For this reason, this work also focused on assessing the nutritional composition of the four sorghum cultivars through their various biochemical parameters, such as carbohydrates, proteins, fibers, fats, and minerals. Additionally, starch and protein qualitative and quantitative composition analyses were carried out. Overall, the nutritional parameters were significantly variable (p value < 0.05). The total carbohydrate and protein contents of the different sorghum varieties ranged from 81.67% to 79.90% and from 5.32% to 6.42%, respectively. These results are consistent with previous studies; Patekar et al. reported mean values of 72.77%, and Songre-Ouattara et al. reported values of 74.4% for carbohydrates. Nonetheless, the protein levels reported in our samples were inferior to those reported by the same authors: 10.43% for Patekar et al. and 10.8% for Songre-Ouattara et al. . Many factors, including genetics, environmental factors, and farming practices, contributed to the variation in the biochemical composition of cereals . This richness in protein and carbohydrates could be useful for fighting protein-energy malnutrition in Mali, where 27% of children under 5 years of age are chronically malnourished .
This work focused on the determination of the qualitative profile of amino acids, since cereals are known to have an unbalanced amino acid composition, which is essential for limiting amino acids, particularly lysine. Nutrition based on a high consumption of cereals and a low supply of protein must be considered risky . Our results revealed the presence in lysine in three improved sorghum varieties (Duguyiriwa, Jakumbe and Seguifa), whereas it was absent in the Kenikedje variety. Previous studies reported that Duguyiriwa and Seguifa produce 1.97 mg/100 g and 3.19 mg/100 g of lysine, respectively. These findings emphasized the importance of improvement in cereal through their enrichment in essential amino acid molecules.
In general, cereal grains are low in lipids because these molecules are concentrated mainly in the germ . The low percentage of lipids (3.32–5.80%) obtained from these sorghum varieties is in line with this trend, consequently making them good candidates for use in overweight, obese and diabetic patients.
The fiber contents (2.45% to 2.84%) showed no significant variation among the varieties. These values are comparable to those reported by Patekar et al. , who observed a range from 2.10% to 3.20% of fibers, and are lower than the 8.14% mentioned by Jocelyne et al. . Owing to their various bioactive compounds, food fibers are reputed to prevent coronary diseases, gastrointestinal tract disorders, and diabetes . Interestingly, following the norms of the Department of Health and Human Services of Food Drug and Administration (FDA), the consumption of 1000 g of these varieties could easily cover the daily reference values of fiber (RDV = 28 g) for adults and children aged over 4 years .
Appreciable and variable quantities of micronutrients (minerals) were detected in the studied sorghum varieties. Among the performed minerals, phosphorus was the most concentrated (0.67–2.91 g/100 g) and could easily cover the recommended daily intake (RDI = 1.25 g) for adults and children aged over 4 years . Higher contents of phosphorus and iron in grains were noted with Duguyiriwa: 2.70 g/100 g and 1.58 g/100 g and Seguifa: 2.91 g/100 g and 1.55 g/100 g, respectively. Phosphorus is a major element that compose the human body by participating in all life processes. It plays a key role in energy production (ATP molecules), which governs and controls the energy, physiological and pathological processes of the human body. Phosphorus is essential for the formation of bones and teeth . Similarly, all sorghum grains investigated presented greater amounts of magnesium (0.85–1.04 g/100 g > RDI = 0.42 g), which is sufficient to meet daily nutritional requirements. The high level of iron in sorghum is involved in the generation of red blood cells, the improvement of blood circulation and the growth of cells; as a result, it decreases the probability of anemia. According to scientific reports concerning the prevention of anemia, sorghum contributes to reducing the risk of developing Alzheimer’s disease, since anemia is also considered a risk factor for Alzheimer’s disease in elderly individuals .
Notably, similar mean values of calcium (Ca) were observed for all the samples. This high level of calcium could promote bone mineralization and growth, especially in children under 18 years of age, as calcium is a key component of these physiological processes.
4.3. Technological Properties
The assessment of technological parameters is critical for optimizing the valorization of cereals in agri-food industries.
All the studied cultivars presented greater grinding yields (> 92%) without any significant variations. The water absorption capacity (WAC) is a good indicator of flour incorporation into aqueous food formulations such as sausages and pasta and bakery products. The water solubility index (WSI) of a cereal flour indicates its degree of affinity to disperse in a homogeneous solution and consequently to present good digestibility for the consumer . The Duguyiriwa variety demonstrated the greatest capacity to absorb water (WAC = 74.37±1.44%) and was the most digestible, with the highest WSI = 0.35. These WSI data are close to those of Gampoula et al. , with WSI = 0.40, and higher than the WAC reported by Patekar et al. (33.31%) in their work. This notable water absorption ability could be explained by its higher amylopectin content (54.66%), as amylopectin's larger branched structure enhances digestibility . The oil absorption capacity (OAC) is an important parameter that characterizes flavor retention capacity. The OAC values ranged from 9.00% for Kenikedje to 10.76% for Jakumbe.
Starch is one of the major carbohydrate constituents in food and other biological materials. It is mainly composed of amylose and amylopectin. The functional, physicochemical, and pasting properties of starch are strongly influenced by the percentages of these 2 components (amylose and amylopectin) . Amylopectin, due to its branching, facilitates gelatinization and improves functional characteristics, while amylose, with fewer branches, forms crystals more easily, making it more resistant to digestion . In most foodstuffs, the percentage of amylose is approximately 15–30% . In addition, the amylose content is the main factor determining the quality of a cereal for consumption purposes. The amylose content in the studied sorghum varieties ranged from 18.76 for Jakumbe to 29.52% for Kenikedje, which are inside the expected literature trends. Importantly, these sorghum varieties could be helpful for fat substitutes, since the ability of amylose to bind water and improve food quality is well documented . Furthermore, the high percentage of amylose in sorghum contributes to its slow-digestible starch properties compared to other cereals, which aids in controlling obesity by slowing glucose release and regulating food intake .
The above results highlighted the nutritional quality of the four varieties of sorghum developed in Mali through their richness in macronutrients and micronutrients. However, it is crucial to quantify the level of antinutrient factors (ANFs), which are highly associated with deleterious effects related to the absorption of nutrients and micronutrients . ANFs can inactivate nutrients, hinder digestion, or reduce the physiological utilization of metabolites from food . However, some antinutrients may exert beneficial health effects at low concentrations. These factors play a crucial role in determining the suitability of plant-based foods for human consumption . The literature has grouped ANFs into two categories: heat-labile ANFs and heat-stable ANFs . Among them, lectins and condensed tannins belonging to heat-labile and heat-stable ANFS, respectively, were quantified in our sorghum samples. All the studied sorghum samples presented acceptable levels, i.e., nonharmful levels (<0.50%) of lectins (0.64–2.97 mg/100 g) and tannins (0.07–0.13 mg/100 g). These data support those from the literature: 66.68 mg/100 g of tannins . Because of their relatively low contents of tannins and lectins, some studies have reported their absence in a number of sorghum varieties disseminated in Mali . These bioactive compounds protect plants from predation and help plant growth . The presence of these compounds in all varieties could explain their resistance to predatory agents in their habitat. Furthermore, lectins and tannins have attracted intense interest from researchers, particularly because of their usefulness in agriculture and medicine . For example, evidence work highlighted that low-tannin sorghum cultivars have a feed efficiency of 95–97% for poultry . Tannins contained in sorghum interact with starch and inhibit its digestion, therefore beneficially regulating blood glucose and insulin levels. The antidiabetic and hypoglycemic effects of sorghum are attributed to its tannin profile and its ability to regulate insulin sensitivity via peroxisome proliferator-activated receptor gamma . As diabetes is strongly correlated with a high risk of developing Alzheimer’s disease and hypertension , sorghum tannins could attenuate these pathological pathways.
Similarly, lectins are highly physiologically potent in humans. One of their most important functions is the prevention of digestive absorption of end products inside the small intestine . These antidiabetic, antihypertensive and anticancer effects are well documented. Lectins enable the stabilization of blood pressure and are useful for diabetic patients. They are involved in various functions, such as mitotic division, and demolish cancerous cells. By binding to different sugar groups, lectins can help regulate glycemia . The lower levels of ANFs in the investigated sorghum varieties may contribute to a decreased risk of these health issues.
5. Conclusion
This study successfully determined the physicochemical, technological properties, as well as the macronutrient and micronutrient contents, and levels of antinutritional factors of four improved sorghum varieties developed in Mali (“Jakumbe”, “Seguifa”, “Duguyiriwa” and “Kenikedje”). All of these sorghum varieties exhibit acidic characteristics and low moisture content. They are promising sources of minerals, proteins, carbohydrates and energy. Notably, their nutritional potential is complemented by the nonharmful levels of antinutritional factors, such as lectins and tannins. Based on data from technological parameters, the Duguyiriwa variety emerged as the best variety in terms of processing capacity. These results could serve as a compass for further studies of sorghum breeding. These data provide an opportunity to raise awareness about various benefits of sorghum cultivars, from nutrition and health to technological applications. Lastly, these results could be used to better guide researchers in their extension policy for these improved varieties.
Abbreviations

AFNOR

Association Française de Normalisation

AG

Gallic Acid

ANFs

Antinutritional Factors

DM

Dry Matter

g

Grams

HL ration

Hydrophilic – Lyophilic Ratio

HPLC

High Performance Liquid Chromatography

mEq

Milli-equivalent

mg

Milligrams

OAC

Oil Absorption Capacity

RDI

Reference Daily Intakes

RDV

Reference Daily Values

SAB

Serum of Albumin Bovine

TLC

Thin Layer Chromatography

WAC

Water Absorption Capacity

WSI

Water Solubility Index

Acknowledgments
Authors are grateful to the Program of Sorghum of “Institut d’Economie Rurale (IER)’’ of Sotuba, Bamako, Mali for providing the grains of improved sorghums varieties and supplementary information about them.
Author Contributions
Mamadou Abdoulaye Konaré: Conceptualization, Methodology, Chemical investigation, Data curation, Formal Analysis, and Writing – original draft
Yacouba Diawara: Conceptualization, Methodology, Chemical investigation, Data curation, Formal Analysis, and Writing – original draft
Méminata Diakité: Data curation, writing – review & editing
Sory Sissoko: Sampling, Supervision, and writing – review & editing
Fatoumata Tounkara: Supervision, Visualization, and writing – review & editing
Funding
This work is not supported by any external funding.
Data Availability Statement
The data supporting the outcome of this research work has been reported in this manuscript.
Conflicts of Interest
The authors declare no conflicts of interest.
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Cite This Article
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    Konaré, M. A., Diawara, Y., Diakité, M., Tounkara, F., Sissoko, S. (2024). Technological and Nutritional Properties of Four Varieties of Sorghum Grains Used in Mali. International Journal of Nutrition and Food Sciences, 13(6), 291-305. https://doi.org/10.11648/j.ijnfs.20241306.16

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    Konaré, M. A.; Diawara, Y.; Diakité, M.; Tounkara, F.; Sissoko, S. Technological and Nutritional Properties of Four Varieties of Sorghum Grains Used in Mali. Int. J. Nutr. Food Sci. 2024, 13(6), 291-305. doi: 10.11648/j.ijnfs.20241306.16

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    AMA Style

    Konaré MA, Diawara Y, Diakité M, Tounkara F, Sissoko S. Technological and Nutritional Properties of Four Varieties of Sorghum Grains Used in Mali. Int J Nutr Food Sci. 2024;13(6):291-305. doi: 10.11648/j.ijnfs.20241306.16

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  • @article{10.11648/j.ijnfs.20241306.16,
      author = {Mamadou Abdoulaye Konaré and Yacouba Diawara and Méminata Diakité and Fatoumata Tounkara and Sory Sissoko},
      title = {Technological and Nutritional Properties of Four Varieties of Sorghum Grains Used in Mali
    },
      journal = {International Journal of Nutrition and Food Sciences},
      volume = {13},
      number = {6},
      pages = {291-305},
      doi = {10.11648/j.ijnfs.20241306.16},
      url = {https://doi.org/10.11648/j.ijnfs.20241306.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnfs.20241306.16},
      abstract = {Sorghum (Sorghum bicolor L.) is one of the main cereals widely consumed in Mali. The aim of this study was to contribute to a better understanding of the technological and nutritional properties of four varieties of sorghum (“Duguyiriwa”, “Jakumbe”, “Seguifa”, and “Kenikedje”) consumed in Mali. The physicochemical properties, macronutrients, and micronutrients were determined using gravimetric, spectrophotometric and HPLC methods. Antinutritional factors (ANFs) were determined spectrophotometrically. Furthermore, the technological properties were estimated through the grinding yield, water solubility index (WSI), and absorption capacity of water (WAC) and oil (OAC) via the gravimetric technique. The physical characteristics revealed that the grains from all the varieties were the same forms and sizes, whereas they were different in color and weight. Overall, these grains can be easily stored due to their low humidity (7.28±0.09–8.49±0.20%) and free acidity (Kenikedje. These nutritional values could be reinforced by the nonharmful levels registered with antinutritional factors (ANFs): lectins (0.64–2.52 mg equivalents SAB/100 g) and tannins (0.07–0.13 mg equivalents AG/100 g). Analysis of technological performance revealed that all the investigated varieties possessed good processing abilities. Higher grinding yields (> 92%) and water absorption capacities (WAC > 67%) were observed for all varieties. In terms of technological transformation, the Duguyiriwa sample was the best variety because it presented the highest WAC (74.37±1.44%) and lowest oil absorption capacity (OAC = 8.97±0.05%). In summary, these sorghum varieties are potential sources of nutrients and have good technological processing ability.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Technological and Nutritional Properties of Four Varieties of Sorghum Grains Used in Mali
    
    AU  - Mamadou Abdoulaye Konaré
    AU  - Yacouba Diawara
    AU  - Méminata Diakité
    AU  - Fatoumata Tounkara
    AU  - Sory Sissoko
    Y1  - 2024/12/03
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ijnfs.20241306.16
    DO  - 10.11648/j.ijnfs.20241306.16
    T2  - International Journal of Nutrition and Food Sciences
    JF  - International Journal of Nutrition and Food Sciences
    JO  - International Journal of Nutrition and Food Sciences
    SP  - 291
    EP  - 305
    PB  - Science Publishing Group
    SN  - 2327-2716
    UR  - https://doi.org/10.11648/j.ijnfs.20241306.16
    AB  - Sorghum (Sorghum bicolor L.) is one of the main cereals widely consumed in Mali. The aim of this study was to contribute to a better understanding of the technological and nutritional properties of four varieties of sorghum (“Duguyiriwa”, “Jakumbe”, “Seguifa”, and “Kenikedje”) consumed in Mali. The physicochemical properties, macronutrients, and micronutrients were determined using gravimetric, spectrophotometric and HPLC methods. Antinutritional factors (ANFs) were determined spectrophotometrically. Furthermore, the technological properties were estimated through the grinding yield, water solubility index (WSI), and absorption capacity of water (WAC) and oil (OAC) via the gravimetric technique. The physical characteristics revealed that the grains from all the varieties were the same forms and sizes, whereas they were different in color and weight. Overall, these grains can be easily stored due to their low humidity (7.28±0.09–8.49±0.20%) and free acidity (Kenikedje. These nutritional values could be reinforced by the nonharmful levels registered with antinutritional factors (ANFs): lectins (0.64–2.52 mg equivalents SAB/100 g) and tannins (0.07–0.13 mg equivalents AG/100 g). Analysis of technological performance revealed that all the investigated varieties possessed good processing abilities. Higher grinding yields (> 92%) and water absorption capacities (WAC > 67%) were observed for all varieties. In terms of technological transformation, the Duguyiriwa sample was the best variety because it presented the highest WAC (74.37±1.44%) and lowest oil absorption capacity (OAC = 8.97±0.05%). In summary, these sorghum varieties are potential sources of nutrients and have good technological processing ability.
    
    VL  - 13
    IS  - 6
    ER  - 

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  • Department of Biology, Faculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali

    Biography: Teacher and Researcher at the Faculty of Sciences and Techniques (FST), University of Sciences, Techniques and Technologies of Bamako (USTTB), in Mali. Dr KONARE has completed his doctoral thesis in 2020, option Biochemistry, through the collaboration between the University of Sciences, Techniques and Technologies of Bamako (USTTB) in Mali and The University of Joseph KI-ZERBO of Ouagadougou in Burkina Faso. He carried out a postdoctoral study at the University of Galati, Romania, which enable him to extend his skills in microencapsulation technique.

    Research Fields: Food sciences, Biochemistry, Phytochemistry, Antioxidant, antibacterial, anti-inflammatory activities of plants.

  • Department of Biology, Faculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali

    Biography: Mr. DIAWARA is holder of Master's degree in Biochemistry from the University of Sciences, Techniques and Technologies of Bamako (USTTB), in Mali. He is Assistant professor at department of Biology of the Faculty of Sciences and Techniques (FST), USTTB. He works mainly on different variety of local an improved varieties of cereal for better understanding of their nutritional and socio-economic valorization.

    Research Fields: Food sciences, Biochemistry, Phytochemistry.

  • Department of Biology, Faculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali

    Biography: Lecturer - Researcher at the Faculty of Sciences and Techniques (FST), University of Sciences, Techniques and Technologies of Bamako (USTTB), in Mali. After graduated in Master of Biochemistry through her study on “Qualitative analysis of the grains of some sorghum varieties consumed in Mali” in 2010; she completed her Doctoral dissertation in the above university in collaboration with Denmark in 2018. Currently, Prof. Diakité is teaching Biochemistry and Genetic courses.

    Research Fields: Biochemistry, Phytochemistry, Natural substances, Genetic.

  • Department of Biology, Faculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali

    Biography: Lecturer at the University of Sciences, Techniques and Technologies of Bamako, she completed her PhD in Food science and Technology from Jiangnan University, Wuxi, Province of Jiangsu, People Republic of China in 2013, and her Master in Technology of Transformation and conservation of Food, in Academia of Food Technology of Odessa, Ukraina. She has participated in multiple national and international research collaboration projects in recent years. Deputy Manager of the laboratory of Food Biochemistry and Naturals Substances in the Faculty of Sciences and Techniques, she actively participates in the formation of many students. Also, she participated on the annual evaluations of colleagues since 2019. She has in her account numerous published scientific articles. She is also reviewing articles for world journals in her field.

    Research Fields: Food sciences, Biochemistry, Antioxidant, antibacterial, anti-inflammatory activities of plants, Technological processes.

  • Department of Biology, Faculty of Sciences and Techniques, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali

    Biography: Lecturer - Researcher at the Faculty of Sciences and Techniques (FST), University of Sciences, Techniques and Technologies of Bamako (USTTB), Mali. Doctor of Philosophia in Plant breeding at West Africa Centre for Crop Improvement (WACCI) in the College of Basic and Applied Sciences, University of Ghana-Legon. Master of Science in Biology, Genetics and Cytology option at State University of Khartkov, Ukraine. Prof. SISSOKO is involved in many research programs related to plant breeding and selection at Institute of Rural Economy in Mali.

    Research Fields: Genetic, Plant biotechnology, Varietal creation, Agricultural sciences.