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Research article Special Issues

Nursing and midwifery workforce expansion as a strategic lever to reduce maternal mortality: Global evidence and policy implications from an ecological study

Running title:Running head: Greater nursing-midwifery size, less maternal mortality
  • Received: 24 January 2025 Revised: 24 April 2025 Accepted: 06 May 2025 Published: 28 May 2025
  • Background 

    This global cross-sectional study analyzed data from 266 “countries” and territories to evaluate the relationship between the nursing and midwifery workforce size (NMWS) and maternal mortality ratios (MMR). Drawing from five major United Nations and World Bank databases, the study offers robust and generalizable insights across diverse health systems and economic settings.

    Methods 

    The study examined the association between the NMWS and MMR using scatterplots, bivariate and partial Pearson correlation coefficients, and multiple and stepwise linear regression models. Key confounding variables, including economic affluence measured by the gross domestic product (GDP) per capita adjusted for purchasing power parity, total fertility rate, and urbanization, were included to isolate the independent contribution of the NMWS to maternal health outcomes at the global and regional levels.

    Results 

    The NMWS accounted for 49.13 percent of the global variation in maternal mortality ratios, which indicates a strong inverse relationship. After adjusting for economic and demographic variables, the NMWS remained a significant independent predictor and explained 11.09 percent of the variance. A stepwise regression identified the NMWS as the second most influential predictor of maternal mortality after economic affluence and the fertility rate. The association was strongest in low- and middle-income countries, where workforce shortages and the maternal mortality rates are highest.

    Conclusions 

    This study identifies the NMWS as a critical and measurable factor in reducing maternal mortality worldwide. This study's findings provide compelling evidence for a strategic investment in the nursing and midwifery workforce. Expanding this workforce is essential to improve the maternal health outcomes, especially in countries with limited resources, and should be prioritized in global maternal health and workforce planning strategies.

    Citation: Wenpeng You. Nursing and midwifery workforce expansion as a strategic lever to reduce maternal mortality: Global evidence and policy implications from an ecological study[J]. AIMS Public Health, 2025, 12(2): 579-599. doi: 10.3934/publichealth.2025031

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  • Background 

    This global cross-sectional study analyzed data from 266 “countries” and territories to evaluate the relationship between the nursing and midwifery workforce size (NMWS) and maternal mortality ratios (MMR). Drawing from five major United Nations and World Bank databases, the study offers robust and generalizable insights across diverse health systems and economic settings.

    Methods 

    The study examined the association between the NMWS and MMR using scatterplots, bivariate and partial Pearson correlation coefficients, and multiple and stepwise linear regression models. Key confounding variables, including economic affluence measured by the gross domestic product (GDP) per capita adjusted for purchasing power parity, total fertility rate, and urbanization, were included to isolate the independent contribution of the NMWS to maternal health outcomes at the global and regional levels.

    Results 

    The NMWS accounted for 49.13 percent of the global variation in maternal mortality ratios, which indicates a strong inverse relationship. After adjusting for economic and demographic variables, the NMWS remained a significant independent predictor and explained 11.09 percent of the variance. A stepwise regression identified the NMWS as the second most influential predictor of maternal mortality after economic affluence and the fertility rate. The association was strongest in low- and middle-income countries, where workforce shortages and the maternal mortality rates are highest.

    Conclusions 

    This study identifies the NMWS as a critical and measurable factor in reducing maternal mortality worldwide. This study's findings provide compelling evidence for a strategic investment in the nursing and midwifery workforce. Expanding this workforce is essential to improve the maternal health outcomes, especially in countries with limited resources, and should be prioritized in global maternal health and workforce planning strategies.



    Sorghum (Sorghum bicolor L. Moench) is one of the major sources of carbohydrates and proteins for people living in the semi-arid regions, and it is an important cereal that can be grown under cool climatic conditions [1]. In many developed countries, sorghum grain is used to produce all that feeds livestock (20.8 million tons), while in Asia; it is an important source for human nourishment (15.1 million tons). Quantities vary from one continent to another: Africa (8.0 million tons) and Central America (0.3 million tons) [2].

    The higher level of starch content makes sorghum grains a potential source of commercial production via different procedures.The sorghum starch production by wet milling process involves chemical, biochemical, and mechanical operations to separate the grain into its main components and fractions: starch, protein, fiber, and lipids [3]. Sorghum grain as currently used as a potential renewable feedstock for production of fuels, ethanol, chemicals and other products to improve and maintain the economic development [4]. Also, sorghum can be exploited as an alternative starch source for diverse industrial applications: bakery, snacks, flavors and beverage clouds, canning, batters and breading, dressings, soups and sauces, confectionery and dairy products [5,6,7]. The yield, the chemical composition and physical properties of the starch isolates are affected by various factors, such as grain varieties, steeping treatments and steeping conditions [3,8]. In this context, several studies have demonstrated that the botanical origins and wet milling process conditions can have strong impacts on the starch hydrolysis [9].

    Some regions in the Algerian Sahara are noted for having a wide diversity of sorghum landraces, actually grown in small spaces. The vegetative group saves all that animals would need for eight months of the year. To contribute to the value of the sorghum plants cultivation in Algeria, the laboratory research seeks to raise the efficiency of starch isolation from local grains. The concern of this study is to encourage industry to take advantage of using plant parts in food, energy and other sectors. Some earlier studies have shown that starches can be isolated with a high yield and purity from two sorghum cultivars by small-scales wet milling procedures with no effect on the morphological structure of starch granules [10,11]. Generally, the morphological of starch granules from sorghum landraces planted in Algeria are characterized by a big grain size (36.0 µm). They possess different forms; changing from polygonal, semi-spherical and semi-oval. They are additionally characterized by the presence of pores, channel, and indents on the granules [10,11]. The sorghum starches, classified as A-type diffraction pattern typical of cereal starches, has a higher viscosity value. It also presents higher temperatures of peak and lower gelatinization enthalpies [11].

    The aim of this work is to evaluate the effect of plant phenotype and wet milling procedures on recovery, quality and some physico-chemical properties of starch isolates from grains of five sorghum landraces cultivated in Sahara of Algeria.

    Grains (SY106AS, SY108FE, SY208FE, SR106AS, SR107AS) from five predominant sorghum (Sorghum bicolor L. Moench) landraces are used as samples. They vary in color (three are yellow group and two are red group) and shape, grown under uniform field conditions at Tidikelt region. This region is an important sorghum producer situated in the Algerian Sahara (Lat: 27.20429, Lng: 2.4878). The Tidikelt region includes a low annual rainfall rate (16.9 mm) and a high temperature in summer with a monthly rate of 45.2 ℃. The World Reference Base (WRB) for Soil Resources classifies soil of this region as a solontchaks soil [12]. All samples are manually cleaned.

    The most important characteristics of this kind of grains were: 100-kernel and test weight were determined according to descriptors [13]. Grain dimensions were measured and calculated with the method described by Jain and Bal [14]. The clorox bleach test was used to determine the presence of pigmented testa by developed method of Waniska et al. [15]. Endosperm texture was evaluated subjectively through rating the proportion of corneous to floury endosperm on a scale of percentage of corneous, intermediate and floury sorghum grains, according to method described by Taylor and Taylor [16].

    Some most important chemical compositions of sorghum grain were determined. The moisture content was determinated according the 44-15A approved procedures method [13]. The grain protein content was determined using micro-Kjeldahl method according to AACC method 46-13 using nitrogen conversion factor of 6.25 [17]. Total starch was determined by the enzymatic method described by Belhadi et al. [10] and Goni et al. [18] using an amyloglucosidase (300 U/mL, Sigma A-7255). The glucose concentration was determined using a glucose oxidase-peroxidase kit (ELITCH, France) and converted into starch content using a 0.9 factor. Absorbance was measured at 500 nm. The total phenols were determined using the Folin-Ciocalteu method [19]. The vanillin-HCL method was used to quantify condensed tannins [20].

    Three different laboratory wet milling procedures (P1, P2 and P3) involving steeping, wet milling, filtration, centrifugation, separation and drying were used in this research.

    100 g of grains from each sample were steeped at the following steeping conditions:

    Conditions in P1: 200 mL of 0.25 % (w/v) NaOH aqueous solution at 8 ℃ for 24 h [1].

    Conditions in P2: 200 mL of a solution prepared from distilled water and sodium metabisulfite (0.25 % sulfur dioxide) at 58 ℃ for 48 h [21].

    Conditions in P3: 200 mL aqueous solution contained 0.25 % sulfur dioxide and 0.50 % (v/v) lactic acid at 58 ℃, for 48 h [21].

    Fifteen samples of starch isolate were obtained from grains of landraces after pre-treatments through the three steeping conditions and wet milling separations. After steeping process, all grains were washed with distilled water and wet milled using the procedure described by Beta et al. [1] and Belhadi et al. [10]. Sorghum grains were again washed and ground with an equal volume of water for 1 min at low speed, then for 4 min at high speed in a Waring blender. The slurry was filtered through a 125 μm, 80 μm and 50 μm mesh sieve grains by analytical sieve shakers (AS 200 basic, Retsch). Material remaining on the sieve was rinsed with water (3 × 25 mL). Grinding and filtering processes were repeated on this material. After rinsing, material remaining on the sieve was discarded. Collected filtrate was allowed to stand for 1 hr. The filtrate was centrifuged at 760×g for (P1) and 5500×g for (P2 and P3), during 10 min by refrigerated centrifuge (Jouan E96) [10,22]. The gray-colored top protein layer was removed using a spatula. Excess water was added to suspend the sediment and was centrifuged during 3 min. Washing and centrifugation were repeated several times until the top starch layer became white. The starch fraction was dried for 24 h at 40 ℃, milled in mortar and sieved in a 500 μm mesh sieve [10,23].

    The starch yield (Y%) and starch recovery (R%) were calculated by dry weight as follows (Equations 1 and 2) [10]:

    R%=(Y%TSg)×100 (1)
    Y%=(ms×(100Hs%)mg×(100Hg%))×100 (2)

    Where Hg represents moisture of sorghum grain, Hs is the moisture of starch isolate, mg is the sorghum grain mass in (g); ms, represents the mass of starch fraction in (g), TSg is the total starch in sorghum grain and starch isolate, respectively.

    The moisture content was determined according to AACC methods 44-15A [17]. Starch and protein contents were determined by methods described in sorghum grain quality subsection. Iodine calorimetric method was used to determine the amylose content [1,10]. Swelling power (SP) and water solubility index (WSI) of starch isolates were determined at 55 ℃, 65 ℃, 75 ℃, 85 ℃and 95 ℃ according to the method described by Li and Yeh [24]. WSI and SP were calculated as follows (Equations 3 and 4) [9,24]:

    WSI=(W10.1)×100% (3)
    SP=Ws0.1(100%WSI)(g/g) (4)

    Where W1 represents dried supernatant weight; Ws represents sediment weighed.

    The starch hydrolysis was determined according to method of souilah et al. [9]. Samples of starch (500 ± 0.1 mg) were suspended in 25 mL acetate buffer solution with 4.5 pH followed by gelatinization in a water bath at 90 ℃. The obtained suspension was shaken continuously at a speed of 1000 t/min and 55 ℃. Glucoamylase 25 mL enzyme with a concentration of 0.01 U/mL was added. Aliquots were withdrawn at different times with a micropipette. Each time an aliquot was taken, the reaction was interrupted by adding 0.1 mL of trichloroacetic acid 50 % (w/v), and pH was adjusted to 7.0 by adding sodium bicarbonate powder. The extent of hydrolysis was measured from the amount of liberated glucose, which was determined by the glucose oxidase-peroxidase kit (ELITCH, France). The degree of hydrolysis (DH (%)) of each starch was calculated according to (Equation 5):

    DH(%)=(mgglucose×0.9mgstarch)×100 (5)

    Where mgglucose represents the weight of liberated glucose; mgstarch represents the weight of starch sample.

    All analyses were measured in three replicates and expressed as mean. Statistical analyses were performed using the SPSS V.17.0 (SPSS software, Inc., Chicago, IL, USA) for windows using Duncan method. Analysis of variance (ANOVA) and hierarchical cluster analysis (HCA) methods were performed to compare starch isolates properties; differences were considered at the significant level of 95% (p ≤ 0.05). Graphs were created using Sigma Plot (V.10.0 Systat Software Inc, Wpcubed GmbH, Germany) for Windows.

    Table 1 shows the results of the physical (quantitative and qualitative) parameters and the most important chemical compositions of sorghum grains. Of the five sorghum phenotypes, three grains: (SY106AS, SY108FE and SY208FE) are classified in yellow group and two (SR106AS and SR107AS) are arranged in class of red group. All grains were classified with a thick pericarp (Figure 1). The thick pericarp is much easier to peel; this is one of the reasons why in some African countries' farmers prefer to grow this type of sorghum grains [25]. When treating the grains with chlorox bleach, the result shows that sorghum grains are without a pigmented testa. The grains are characterized by low moisture content (<12%), and can be stored without rot which leads to an increase in storage life [26]. The grains have similar size and shape. The grain is generally a flattened sphere approximately 4.86 mm long by 4.27 mm wide and 2.65 mm thick (Figure 1). These means are slightly higher than those of American commercial sorghum grain [27], while they are similar to those which are grown in Kenya [28]. According to Gomez et al. [26], the grains are suitable for milling, because the weight of 100 kernels is superior to 2 g. The mean of test weight is 707.96 g/L, it is integrated in the values of the African sorghum grain [27] however; it is lower than those of the American commercial sorghum grain [27,29]. The examination of endosperm texture shows a variances in percentage of corneous, intermediate, and starchy fractions, this result indicates much variations in endosperm texture and should be classified as mixed endosperm texture [30].

    Table 1.  Grain quality evaluation: qualitative, quantitative parameters and chemical compositions of sorghum grain landraces.
    Sorghum landraces SY106AS SY108FE SY208FE SR106AS SR107AS
    Grain colorMunsell chart Yellow5GY9/4 Yellow5GY9/4 Yellow5GY9/6 Red10YR6/10 Red7.5YR7/12
    Moisture (%) 11.25 10.65 09.66 11.39 08.44
    Test weight (g/L) 714.18 702.34 707.76 718.44 697.09
    Starch (%, db) 66.30 70.41 67.33 77.20 62.00
    Protein (%, db) 11.17 13.20 13.44 14.68 13.75
    Phenol content (mg/g) 0.51 0.63 0.49 5.95 4.09
    Tannin content (mg/g) 2.01 0.00 0.00 7.58 3.12
    100-kernel weight (g) 3.34 3.43 3.30 2.89 3.51
    L (mm) 4.71 4.82 4.80 4.83 5.13
    W (mm) 4.15 4.36 4.33 4.037 4.46
    T (mm) 2.70 2.71 2.82 2.45 2.59
    Endosperm texture (%) Int 5.00 15.00 35.00 70.00 70.00
    Sta 0.00 0.00 0.00 10.00 5.00
    Cor 95.00 85.00 65.00 20.00 25.00
    Note. db: dry basis; L: length of sorghum grain; W: width of sorghum Grain. T: thickness of sorghum grain; Int: Intermediate; Sta: Starchy; Cor: Corneous.

     | Show Table
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    Figure 1.  Photograph of the sorghum grains, endosperm texture and pericarp.

    The means of chemical compositions of grain are (Table 1): starch, 68.65%; protein, 13.25%; phenol, 2.33 mg/g; tannin, 2.54 mg/g in dry matter. When comparing the results of the five sorghum landraces to those of the world collection at ICRISAT, it must be pointed out that the mean of starch content is slightly lower than the mean value (69.50%), whilst the protein content is higher than the mean value (11.40%) [5].

    The means of phenol content of the yellow and red phenotype are 0.54 mg/g and 5.02 mg/g, respectively. These means are lower than those given by Awika and Rooney (0.80 mg/g from yellow grain and 6.60 mg/g from red grain) [31]. Also, Awika and Rooney have classified the tannin-free sorghum grain when the values up to 4.00 mg/g [31]. These results agree that the sorghum grains of Tidikelt region do not contain tannins except the red phenotype SR106AS which is likely to contain tannin. Moreover, the results demonstrate that SY106AS, SY108FE, SY208FE and SR107AS phenotype can be classified by the type Ⅰ (sorghum tannin-free) and the red SR106AS phenotype is taking the weak values of the type Ⅱ [32].

    From the short review above, key findings emerge: the sorghum grains grown in the Tidikelt region have a high percentage of starch and protein. The possession of some physical (quantitative and qualitative) parameters and most important chemical compositions indicates that those grains can be used in the milling applications such as, production of meals, flours and grits [26]. In general, these grains are differing from other grains grown in many parts of the world, because they are classified in sorghums without a pigmented testa, and they do not contain large percentages of the tannin compounds, although they are rich in phenolic compounds. We speculate that this might be due to the influence of environmental factors [27]. Environmental conditions and genetic factors can vary significantly the sorghum grain structure, quality and nutritional importance [33,34].

    The starch recovery was ranging between 58.06% and 83.11%. Here we compared the results between the proposed procedures, recovery of the (P3) was higher (69.85%–83.11%) than those obtained by (P2) (68.39%–78.37%), and then those from (P1) (58.06%–70.60%). When comparing our results to those of previous studies from sorghum wet milling, it must be pointed out that the highest starch recovery obtained were similar to results found by Buffo et al. (71.37%–9.71%) [29] using (P3), and by Xie and Seib (83.70%) [35] and Wang et al. (85.90%) [36] using (P2), while it was lower than those obtained by Higiro et al (96.5%) [37] who used (P3). Starch yield (50.99%) was similar to that obtained by Yang and Seib (50.50%) with (P2) [22].

    The contents of starch isolates evaluated by; total starch analysis was ranging between 92.01% and 98.75%. Moisture content ranged from 10.96% to 12.95%. Amylose content ranged between 23.78% and 27.74%, which indicated that sorghum samples were non-waxy starch with normal amylose content. Protein content gave an indication of the degree of separation and purity [3], while ranging between 0.35% and 2.34%. This analysis found evidence for starches obtained by (P1) (ranging between 0.35 and 0.77%) was the lowest protein content than from the (P2) (from 1.07% to 1.94%), and the (P3) (from 1.54% to 2.34%), respectively. The same results have been reported by Belhadi et al. [10], Xie and Sieb [35] and Wang et al. [36] when they used the (P1).

    Water solubility index (WSI) and swelling power (SP) showed a non-linear increase with temperature. Figure 2 (A), (C) and (E) showed that the swelling power increased with increasing temperatures. At temperatures range between 75 ℃ and 85 ℃, we observed a very slow increase of swelling power for majority of starch isolates. When, the temperature higher than 85 ℃, the swelling power of all starches had started over to swell. By comparing the results of all cases, starches from (P1) had the highest swelling power ranging from 3.41 g/g to 38.83 g/g, followed by (P2) from 3.37 g/g to 34.25 g/g and these lasts were higher than that of (P3) (from 3.19 g/g to 33.12 g/g). Overall, these findings were in accordance with findings reported by Wang and Seib [38], showing that the swelling power of starches from (P3) was slightly different from (P2), and it might be the effect of the addition of lactic acid or protein content, which could inhibit the swelling of starch granules, similar results were obtained by Shandera and Jackson [39] and Brandemarte et al. [40].

    Figure 2.  Swelling power and water solubility index of starch from sorghum grain isolated by Procedure 1 (A) and (B), Procedure 2 (C) and (D) and Procedure 3 (E) and (F).

    The water solubility index of starch isolates has illustrated similar trend, increasing with increasing temperature, it ranged between 0.40% and 38.60% Figure 2 (B), (D) and (F). When comparing among the three procedures, the results showed that the water solubility index of starch isolates obtained by (P1) were higher than that of (P2) and (P3). Whilst, the less soluble starch was observed on starches isolated from SY108FE and SY208FE sorghum grains. Those results suggested a relationship between the solubility of isolated starch and the endosperm texture of sorghum grains. The intermediate (SR106AS and SR107AS) and the corneous (SY106AS) endosperm texture had a more high water solubility index. However, Bello et al. [41] found more starch solubilization corresponded to the more corneous endosperm, when using the sorghum flour during the preparation of tô.

    Figure 3 presents the kinetic curves of sorghum starches hydrolysis by glucoamylase from Aspergillus niger. The extents of the reaction indicated that these starches had high susceptibilities for hydrolysis to glucose.

    Figure 3.  The progress curves of sorghum starches hydrolysis by glucoamylase from spergillus niger, at S0 = 10 g/L, extracted from (A: SY106AS, B: SY108FE, C: SY208FE, D: SR106AS and E: SR107AS) by all treatments, at a 0.01 U/mL concentration of the enzyme, pH = 4.5 and 55 ℃.

    Among sorghum starches, the means degree of hydrolysis followed this order: (P1) (71.41%) > (P3) (67.75%) > (P2) (67.09%). Planned comparisons revealed that the decrease in starch hydrolysis while adding lactic acid was confirmed by Brandemarte et al. [40], except for SY208FE starch isolate its addition leads to an increase in starch hydrolysis Figure 3 (C). Extensive results carried out showed that, the differences in the in vitro digestibility of starches have been attributed to the interplay of many factors such as steeping conditions [9] and botanical starch source [42].

    A statistical analysis was performed by using the ANOVA applying a significance level of p ≤ 0.05. The Tables 2 and 3 shows the means of starch recoveries, components and physicochemical properties of starch isolates from five sorghum grain phenotypes (SY106AS, SY108FE, SY208FE, SR106AS and SR107AS) isolated by three wet milling procedures (P1, P2 or P3).

    Table 2.  Starch recovery, chemical, and physicochemical properties of fifteen starch isolated from five sorghum grain samples isolated by three procedures: P1, P2, and P3.
    Starch isolation procedures Procedure (P1) Procedure (P2) Procedure (P3)
    Starch recovery (%) 63.33a 74.41b 78.08b
    Moisture (%) 12.00a 11.57a 11.68a
    Total starch (%) 96.81a 96.38a 95.04a
    Protein content (%) 0.58a 1.51b 1.96c
    Amylose (%) 25.48a 25.12a 24.96a
    Swellig power (85 ℃; g/g) 16.85b 14.02a 14.04a
    Degree of hydrolysis (%) 71.41a 67.75a 67.09a
    Note. ANOVA followed by Duncan test was performed to search for properties differences in the samples. In a row, means followed by the same letters (a, b or c) are not significantly different (p ≤ 0.05) between procedures.

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    Table 3.  Starch recovery, chemical, and physicochemical properties of fifteen starch isolated by three procedures for the five sorghum grain samples.
    Sorghum grain samples SY106AS SY108FE SY208FE SR106AS SR107AS
    Starch recovery (%) 72.57a 77.36a 71.48a 65.43a 71.94a
    Moisture (%) 11.26a 11.68a 11.25a 11.92a 12.65b
    Total starch (%) 95.12a 95.41a 96.46a 96.80a 96.60a
    Protein content (%) 1.46a 1.21a 1.66a 1.33a 1.10a
    Amylose (%) 25.26a 24.84a 25.03a 24.72a 26.09a
    Swellig power (95 ℃; g/g) 26.88a 28.08a, b 26.67a 34.06b 33.74b
    Degree of hydrolysis (%) 66.28a 62.19a 69.03a 70.62a 75.63a
    Note. ANOVA followed by Duncan test was performed to search for properties differences in the samples. In a row, means followed by the same letters (a or b) are not significantly different (p ≤ 0.05) between starch isolates from sorghum grain samples.

     | Show Table
    DownLoad: CSV

    The evaluation of the data presented in this work leads to analyze two different points of view such as; the effect of grain phenotype and wet milling procedures on starch recovery, components and some physico-chemical properties of starch isolate. First, the effect of wet milling procedures indicated that there were only three significant differences that are represented in starch recovery, protein contents and swelling power at 85 ℃ (Table 2).

    Second, the analysis by different grain phenotype, ANOVA indicated that there were only two significant differences that are represented in moisture content and swelling power at 95 ℃ (Table 3).

    Hierarchical cluster analysis (HCA) identified the similarity groups among all starch fractions of this study. The dendrogram divided the fifteen starches into four main clusters, classified by the phenotype of grains and by the wet milling procedure methods (Figure 4). The first main cluster was produced at a distance of 4.5 and included three samples from red grains phenotype; two samples from SR107AS were isolated by (P1) and (P2) and the third was isolated by (P1) from SR106AS. The second main cluster was formed at a distance of 3.5 and comprised three samples of yellow grains phenotype were isolated by (P1) from SY106AS, SY108FE and SY208FE. The third and fourth clusters were formed at a distance of 6.5. This clusters consisted of nine starch samples isolated by (P2) and (P3) from red and yellow sorghum grain landraces.

    Figure 4.  A dendrogram of fifteen isolated starch samples by three wet milling procedures from five sorghum landraces grain.

    The results demonstrate that there is a strong effect of wet milling procedures on starch recovery, protein contents and swelling power at 85 ℃ of starch isolate. While the effect of grain phenotype appears in moisture content and swelling power at 95 ℃. Moreover, the ANOVA find no significant differences in the other properties at a significant level p ≤ 0.05.

    On this basis, we conclude that the Algerian Sahara has a good sorghum landrace with a high grain quality and chemical compositions such as test weight, 100-kernel weight, endosperm texture, moisture, amylose, swelling power, water solubility index, starch, protein content and degree of hydrolysis. On the other hand, the isolation of sorghum starch has a respectable recovery (up to 83.11%) with a good purity accompanied by a high percentage of starch content up to 98.75% and a low percentage of protein content up even 0.35%. These findings consolidate that the Algerian sorghum grain can play an important role in the food and nonfood applications, and encouraging the uses of industrial wet milling methods. The interpretation of the results has shown the effects of the wet milling procedures and sorghum grain phenotype on starch isolation.

    This work was fully financed by Laboratoire d'Etude et de Développement des Techniques de Traitement et d'Epuration des Eaux et de Gestion Environnementale, Ecole Normale Supérieure, BP 92, Vieux Kouba, Algiers, Algeria.

    No potential conflict of interest was reported by the authors.



    Conflicts of interest



    The sole author confirms the absence of any conflicts of interest related to this study.

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