Startseite Physical and textural properties and sensory acceptability of wheat bread partially incorporated with unripe non-commercial banana cultivars
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Physical and textural properties and sensory acceptability of wheat bread partially incorporated with unripe non-commercial banana cultivars

  • Mpho Edward Mashau EMAIL logo , Ndzalama Maluleke , Happiness Mufamadi und Shonisani Eugenia Ramashia
Veröffentlicht/Copyright: 24. September 2024

Abstract

Unripe banana flour (UBF) is recognised as a functional ingredient because of its nutritional pattern. The influence of substituting wheat flour with unripe non-commercial banana (Luvhele and Mabonde) flours on bread’s physical and textural properties and sensory acceptability was evaluated. Wheat flour was replaced with 2.5, 5, 7.5, and 10% of UBF of Luvhele and Mabonde in bread production. Physical properties such as volume, density, weight, colour, and textural characteristics were determined. Furthermore, a sensory evaluation of the bread was performed. The inclusion of UBF of Luvhele and Mabonde cultivars significantly decreased (P ≤ 0.05) the weight, volume, and specific volume of breads, but a higher density of breads was observed. Breads containing 10% UBF had the highest hardness values (9.92, Luvhele, and 9.96 N, Mabonde). However, breads incorporated with UBF of both banana cultivars had lower chewiness, cohesiveness, and springiness than control bread. The control bread had crumbs and crust that were significantly lighter (P ≤ 0.05) than the crumb of composite breads. Sensory evaluation results showed that bread incorporated with up to 7.5% UBF of both banana cultivars was acceptable in terms of aroma, taste, and overall acceptability.

Graphical abstract

1 Introduction

Banana is one of the most popular fruits grown in the world’s tropical and subtropical regions, and production is increasing because of its export potential [1]. Different banana cultivars include plantain (AAB), desert banana (Musa spp. AA, AB, and AAA genome), and cooking banana (AAB). Luvhele (Musa ABB) and Mabonde (Musa AAA) cultivars are the most important non-commercial banana fruits grown in South Africa. They are planted for local markets or household consumption [2]. Bananas are highly perishable because of the physiological changes that occur immediately after harvest. Consequently, one method of minimising postharvest loss and perhaps increasing the variety of uses for non-commercial banana cultivars is to mill them into flour for bread making.

Unripe banana flour (UBF) is a good source of dietary fibre and resistant starch, which reduces microbial activity in the large intestine [3,4]. These characteristics make UBF a good choice as a raw material and can be classified as a functional component [5]. UBF is also particularly rich in minerals like calcium, magnesium, phosphorus, potassium, and sulphur [6]. Significantly, UBF contains high antioxidant compounds such as polyphenols, vitamins, catecholamine, and carotene, which are important for maintaining human health by preventing cardiovascular diseases, high blood pressure, ulcers, and diabetes [7]. As a result, UBF has been proposed as an ingredient for breads [8,9], biscuits [10,11], and pasta [12].

Bread is an important and widespread staple food made from wheat and contains beneficial macronutrients such as starch, protein, fibre, vitamins, and minerals [13]. Primary ingredients such as wheat flour, water, sugar, shortening, improver, salt, and yeast are required during the baking of bread [14,15]. Gluten in wheat plays an important role in bread production by endowing the dough with viscoelasticity, good gas retention capacity, and good crumb structure to the resulting baked product [16]. Wheat flour is the main component used in baked goods in Southern Africa’s baking sector. The agronomic requirements have resulted in wheat being imported since it cannot be cultivated in most parts of Southern Africa. Therefore, there is a need to reduce the overdependency of imported wheat by using flour blends from locally available fruits such as bananas. These mixtures of flours can offer greater economic and nutritional benefits [17,18].

Luvhele and Mabonde banana cultivars are underutilised because their use in South Africa is limited to a small population for different reasons. Results revealed that some of these non-commercial banana cultivars have higher levels of antioxidant properties than commercial cultivars [2,19]. The presence of polyphenols, free and bound phenols such as anthocyanins in fruit pulp, and a moderate level of antioxidant activity in UBF have led to a current trend of increased research on the use of unripe banana products for public consumption [20,21]. Therefore, the novelty of this work stems from the usage of non-commercial banana cultivars (Luvhele and Mabonde) in the production of wheat bread and reporting the results for the very first time.

On the other hand, not much research has been done on Luvhele and Mabonde banana cultivars to propose possible uses, and they are unknown to the general public. Thus, it is important to evaluate the acceptability of non-commercial banana cultivars in bread making. Matidze et al. [22] utilised the UBF of both banana cultivars to modify the nutritional quality of wheat dough. The inclusion of UBF significantly increased the ash, fibre, fat, and carbohydrate contents of the wheat dough. Therefore, this study aimed to evaluate the influence of adding UBF of non-commercial banana cultivars (Luvhele and Mabonde) on the physical properties and sensory acceptability of wheat bread. The result of this study is important since utilisation of unripe, non-commercial banana cultivars in bread making could be a valuable way to incorporate UBF into the food system.

2 Materials and methods

2.1 Materials

Five bunches of Luvhele (Musa ABB) and Mabonde (Musa AAA) bananas at unripe stages were purchased from rural households in Thohoyandou, Limpopo province, South Africa. Wheat flour (Sasko®) had a protein content of 11.4%, total fat (2.3%), dietary fibre (4.1%), and energy (1,456 kJ). Sugar (Selati®), salt (Cerebos®), margarine (Siqalo®), water, and dry yeast (Anchor yeast®) were purchased from a local supermarket.

2.2 Preparation of UBFs

The unripe banana fruits were detached from the bunch, washed, peeled manually, sliced into 5 mm width using a sharp knife, dipped in citric acid solution for 10 min to prevent enzymatic browning, spread evenly on a stainless steel tray, and dried in a conventional oven dryer (Model 278, digital oven, Labotec, Midrand, South Africa) at 60°C for 12 h. The dried slices were milled using a laboratory hammer mill (Retsch KG 5657, Retsch GmbH, Haan, Germany); the flour was passed through a 0.25 mm mesh sieve, packaged in a plastic bag, wrapped, and kept at room temperature (26 ± 2°C) for further use. Luvhele and Mabonde flours had a moisture content of 10.03 and 11.62%, and ash content of 1.57%, as determined by the AOAC method. The total soluble solids were 0.93 and 0.62% for Luvhele and Mabonde flours, respectively.

2.3 Preparation of breads

The dough was baked using the straight dough method [23], using different ratios of UBF (0–10%) in substituting part of the wheat flour. These included breads from Luvhele banana flour (LBF) and Mabonde banana flour (MBF). Prototype tests were performed to obtain the maximum amount of UBF that could be used in bread production. More than 20% of UBF in wheat flour produced bread with poor technological and sensory characteristics, limiting the utilisation of UBF by 20%. The dough was formulated with a mixture of wheat flour and four substitution levels of LBF and MBF (2.5, 5, 7.5, and 10% w/w). The ingredients were mixed manually for 3 to 4 min in a bowl. The dough was fermented at room temperature for 60 min and then punched back and scaled. The dough was manually moulded, placed in lightly greased bread pans, and proofed for 90 min at room temperature (26 ± 2°C) (Table 1).

Table 1

Bread formulation incorporated with UBF

Ingredients 0% Banana flour % 2.5% 5% 7.5% 10%
White bread wheat flour (g) 300 292.5 285 277.5 270
Luvhele/MBF (g) 0 7.5 15 22.5 30
Salt (g) 5 5 5 5 5
Fat (g) 9 9 9 9 9
Yeast (g) 3 3 3 3 3
Sugar (g) 10 10 10 10 10
Water (mL) 140 140 140 140 140

The breads were baked in a preheated oven (Defy, Model DSS700, Midrand, South Africa) for 15 min at 230°C. The 100% wheat flour bread served as a control. The physical characteristics and sensory attributes of the bread samples were determined after cooling overnight at room temperature. Three batches of bread were produced, and the experiment was repeated three times for the reliability of the results.

2.4 Physical properties of breads

The loaf volume was measured using the rapeseed displacement method [24]. The bread was placed in a container of known volume, and the basin was filled to the brim with rapeseed. The bread was removed, and a measuring cylinder was used to measure the volume of the loaf. The ratio between the apparent volume of the baked breads and their mass was used to determine the breads’ specific volume. The weight of breads was measured in a semi-weighing balance (BPS 51 plus, Boeco, Germany). The loaves were weighed in triplicate. The density of bread was evaluated using the following equation: density (g/cm3) = weight of bread/loaf volume of bread.

Texture profile analysis values (hardness, chewiness, cohesiveness, and springiness) of breads were determined using a TA-XTplus texture analyser (Stable Micro System, Surrey, UK) fitted with a 25 kg load cell and an aluminium cylindrical probe with a 50 mm diameter. The texture profile of the bread was determined within 24 h of baking. The test parameters were at a constant rate: pre-test speed: 5 mm/s, test speed: 5 mm/s, and post-test speed: 5 mm/s, compression distance: 60%, and slice thickness: 20 mm. Hardness was explained as the peak force needed for the first compression. The springiness was explained as the distance between the end of the first compression and the beginning of the second compression of the slice back to its original height. Cohesiveness was measured as the ratio of the area under the second compression curve to the area under the first compression curve. Chewiness: Hardness × cohesiveness × springiness [25].

The crust and crumb colour was measured using Hunterlab LabScan XE Spectrophotometer CIELAB. The standardisation was done in compliance with the manufacturer’s instructions. The colour was then denoted using CIE-L* a* b* coordinates, where L* indicates 100 = white; 0 = black, a* (green-red component, where negative values correspond to green and positive values to red), and b* (blue-yellow component, where negative values correspond to blue and positive values to yellow). Chroma was calculated by Chroma = ( a * ) 2 + ( b * ) 2 , and the Hue angle was calculated as Hue = tan−1 b a . The colour difference was calculated as ∆E = [ ( L Lc ) 2 + ( a ac ) 2 + ( b bc ) 2 ] [26]. Coordinates (Lc, ac, and bc) refer to the control sample.

2.5 Sensory evaluation of breads

Panelists were verbally approached and recruited 72 h before sensory evaluation. Seventy semi-trained panelists (40 females and 30 males) in the age range of 19–50 collaborated in the sensory evaluation of bread samples. Panelists were selected from students and staff in the Faculty of Science, Engineering and Agriculture, University of Venda, South Africa, and were regular consumers of bread. Panelists were screened for critical conditions such as wheat allergy and they were given consent form prior to bread evaluation. The sensory evaluation was conducted in a sensory laboratory in individual panel booths using a hedonic scale sheet. The bread samples (with dimensions measuring 10 cm × 3 cm, including crumb and crust) were served in polystyrene plate at room temperature and marked with randomly selected three-digit numbers. The instructions were given to the panelists to evaluate the bread samples for the following attributes: colour, texture, taste, and overall acceptability. A sensory evaluation questionnaire with the nine-point hedonic scale (9 = extreme like, 5 = neither like or dislike, and 1 = extreme dislike), developed in English was distributed to panelists. Panelists were requested to clean their mouths with water in between bread tasting. Participation in the study was on a voluntary basis, and panelists were not given information about the bread samples. No monetary incentive was given to panelists for participating in the study. Permission to conduct a sensory evaluation was obtained from the University’s Ethics Committee, and a certificate of approval was issued.

2.6 Statistical analysis

Statistical analyses were carried out using SPSS 26.0 (Chicago, IL, USA). The data were analysed using one-way analysis of variance (ANOVA), and the mean values were compared using the Fisher least significant difference test (P ≤ 0.05). The mean and standard deviation of three replicates were reported for each analysis. The independent variable was the ratio of mixing the wheat flour with LBF and MBF. Dependent variables were the measured values such as physical properties, colour profile, texture, and sensory properties. The primary sensory evaluation data were subjected to statistical calculations, and, on their basis, a regression analysis was performed for each of the tested bread samples.

3 Results and discussion

3.1 Physical properties of breads incorporated with unripe non-commercial banana flour

The physical (volume, weight, density, and specific volume) properties of different breads are provided in Table 2. Breads showed a significant difference (P ≤ 0.05) regarding all physical properties. The loaf volume of composite breads significantly decreased as the proportion of UBF increased, ranging from 156.40 to 123.40 cm3 (LBF) and 270.00 to 249.33 cm3 (MBF), respectively. Consumers are mostly attracted to bread because of its volume, especially higher volume, and the loaf size reduction that occurs during baking is not desirable [27]. The reduced loaf volume of UBF-added breads could be attributed to less gluten in both banana cultivars, which diluted the gluten of wheat flour [28,29]. Moreover, Nwanekezi [30] reported that adding non-wheat flour to wheat flour during breadmaking reduces the number of gluten proteins, resulting in low volume. The coagulation of gluten during baking due to the impact of heat serves as a foundation for the loaf to become fairly rigid and not collapse [31]. Similar results were reported by Almoraie [32], where the inclusion of walnut flour reduced the volume of bread, ranging from 944.2 to 645.9 cm3.

Table 2

Physical properties of breads incorporated with UBFs

Breads Parameters
Volume (cm3) Weight (g) Density (g/cm3) Specific volume (cm3/g)
Control 280.00 ± 1.08a 379.68 ± 0.59a 0.16 ± 0.10d 6.22 ± 0.03a
LBF1 156.00 ± 2.00f 431.32 ± 0.36b 0.28 ± 0.01b 5.88 ± 0.01b
LBF2 151.67 ± 1.55g 434.19 ± 0.25b 0.29 ± 0.01b 5.49 ± 0.03c
LBF3 141.70 ± 1.49h 443.09 ± 0.10c 0.32 ± 0.05b 5.39 ± 0.04d
LBF4 123.40 ± 1.50i 448.37 ± 0.32d 0.45 ± 0.05a 4.90 ± 0.02e
MBF1 270.00 ± 1.00b 457.14 ± 0.62e 0.17 ± 0.00cd 5.91 ± 0.01b
MBF2 261.33 ± 0.97c 463.28 ± 0.25f 0.17 ± 0.01cd 5.63 ± 0.01c
MBF3 242.00 ± 0.65e 451.31 ± 0.59e 0.18 ± 0.12c 5.52 ± 0.01c
MBF4 249.33 ± 0.50d 449.66 ± 0.19d 0.19 ± 0.02c 5.37 ± 0.04d

Mean ± standard deviation in triplicates. Values in the same column with different letters show significant differences (p < 0.05). Control = 100% wheat flour; LBF1 to LBF4 = 2.5, 5, 7.5, and 10% LBF; and MBF1 to MBF4 = 2.5, 5, 7.5, and 10% MBF.

There was a significant increase in weight in all composite breads compared with the control, with values varying from 431.32 to 448.37 g (LBF) and 449.66 to 463.28 g (MBF), respectively. The addition of water during dough development and the capacity of UBF to hold water could be attributed to the increase in the weight of composite breads [28]. The weight of the bread was also attributed to factors such as moisture content and characteristics of the dough [33]. Comparably, Mudau et al. [26] found an increase in the weight of bread incorporated with finger millet flour, with values varying from 141.77 to 148.52 g. On the other hand, no significant difference (P ≥ 0.05) was observed between the weight of control and bread samples incorporated with prickly pear peel flour [34].

The composite breads had increased density compared to the control with values ranging from 0.28 to 0.45 g/cm3 (LBF) and from 0.17 to 0.19 g/cm3 (MBF), respectively. The increased density in composite bread samples could be due to factors such as the dilution of the gluten network, which might have resulted in a compact structure with less visible air pocket [24]. Gómez and Oliete [35] reported that the addition of fibre ingredients like UBF in bread production results in increased cell density. Amini-Khoozani et al. [25] reported similar results wherein the incorporation of UBF (Cavendish of Musa sp.) increased the density of wheat bread.

Specific volume is directly associated with the ability of the dough mass to retain gas production during proofing or fermentation, which in turn is due to the gluten that is available in the wheat flour. The composite breads had low specific volumes ranging from 5.88 to 4.90 cm3/g (LBF) and from 5.91 to 5.37 cm3/g (MBF), respectively. The low specific volume of composite breads might be attributed to the high amount of UBF in both banana cultivars, which competed with the dough for moisture, affecting the secondary structure of the dough’s gluten. Furthermore, the decrease in the specific volume of composite breads could be attributed to the reduced holding of carbon dioxide gas in the mixed dough [36]. Blandino et al. [37] argued that a high amount of dietary fibre could reduce bread volume because it interferes with the optional generation of gluten matrix during fermentation and baking, making bread less extensible. The fibre content of UBF varies from 6.77 to 65.76 g/100 g [38]. Similar results of decrease in a specific volume of wheat bread were observed by incorporation of other non-gluten flours such as Chinese yam at 25% [31] with values ranging from 4.47 to 3.80 mL/g and cassava at 30% [39] with values ranging from 2.5 to 1.5 cm3/g. However, the inclusion of prickly pear peel flour at 10% increased the specific volume of wheat bread [34].

3.2 Textural properties of breads incorporated with unripe non-commercial banana flours

Table 3 shows the textural properties of the breads incorporated with UBF. The hardness values of bread samples increased significantly as the UBF ratio increased, ranging from 8.73 to 9.92 N (LBF) and 8.68 to 9.96 N (MBF), respectively. When the amount of UBF increased in the flour, the resultant bread became harder, as shown by the higher hardness values in breads incorporated with both non-commercial banana cultivars. Modification in the texture of bread might be attributed to the low amounts of protein in UBF, which did not generate a network related to the gluten network, leading to a hard and more solid dough. The increased hardness of composite breads could have resulted from starch gel within inter-granular spaces that provided rigidity and resulted in the hardness of the breads [40]. Interconnection between gluten and fibrous materials might have increased the hardness of the composite breads. The hardness of composite breads might be due to the high amount of dietary fibre in UBF which interfered with the gluten matrix [41]. Moreover, the high density of bread correlates with a more compact and harder texture. The hardness of the breads is predominantly due to the amylopectin and amylose matrix which contribute to the texture of bread. Results are similar to a report by Amini-Khoozani et al. [25], whereby the inclusion of whole green banana flour improved the hardness of the wheat bread.

Table 3

Textural properties of breads incorporated with non-commercial UBF

Breads Parameters
Hardness (N) Chewiness (N) Cohesiveness Springiness (cm)
Control 7.50 ± 0.53e 15.22 ± 1.38a 0.89 ± 0.09a 0.95 ± 0.02a
LBF1 8.73 ± 0.65d 13.11 ± 1.17d 0.80 ± 0.06ab 0.88 ± 0.09ab
LBF2 9.08 ± 0.28c 12.93 ± 0.94e 0.75 ± 0.02c 0.86 ± 0.02b
LBF3 9.60 ± 0.95b 12.24 ± 0.33f 0.72 ± 0.02cd 0.80 ± 0.02bc
LBF4 9.92 ± 0.87a 11.97 ± 0.48g 0.71 ± 0.01cd 0.77 ± 0.02c
MBF1 8.68 ± 0.60d 14.81 ± 0.94b 0.82 ± 0.02ab 0.86 ± 0.02b
MBF2 9.13 ± 0.47c 13.52 ± 0.97c 0.71 ± 0.00cd 0.84 ± 0.00b
MBF3 9.66 ± 0.79b 12.94 ± 0.76e 0.78 ± 0.02c 0.78 ± 0.02c
MBF4 9.96 ± 0.65a 12.02 ± 0.73g 0.84 ± 0.01ab 0.77 ± 0.01c

Mean ± standard deviation in triplicates. Values with the same superscripts within a column are not significantly different (p < 0.05). Control = 100% wheat flour; LBF1 to LBF4 = 2.5, 5, 7.5, and 10% LBF; and MBF1 to MBF4 = 2.5, 5, 7.5, and 10% MBF.

The chewiness of breads was associated with increased UBF, with the control sample being the chewiest (15.22 N), and breads with 10% UBF being the least chewy with a value of 11.97 for LBF and 12.02 (MBF), respectively. The weak starch–gluten network contributed to the low chewiness of composite breads. This weakening is linked to the expansion of starch granules and the gluten network’s water absorption during dough production [42]. The results align with the report of Li et al. [31], wherein the inclusion of Chinese yam flour (5–15%) decreased the chewiness of bread ranging from 170.90 to 155.38 g.

The cohesiveness of breads significantly decreased (P ≤ 0.05) as UBF increased in the formulation, with values ranging from 0.80 to 0.71 (LBF) and 0.84 to 0.71 (MBF), respectively. The reduction in cohesiveness of the composite breads might be associated with high integration of crumb structure, as reported by Salinas et al. [43]. The decreased cohesiveness values of composite breads show that the crumb is more prone to rupture. Similar results were obtained by Thakaeng et al. [44], wherein the incorporation of UBF (Cavendish spp.) decreased the cohesiveness of the bread with values ranging from 0.55 to 0.27 g s.

The more wheat flour was replaced with UBF, the less springiness the bread crumb, with values ranging from 0.88 to 0.77 cm (LBF) and 0.86 to 0.77 cm (MBF); Feili et al. [45] mentioned that the association between gelatinised starch and gluten dough, which contributes to the springiness of the dough, can make a constant sponge structure of the bread upon heat treatment or baking. A low level of gluten in UBF of both banana cultivars contributed to the dough’s lower capacity to hold gas, resulting in the low springiness of composite breads. It is also possible that the interaction of protein and polysaccharides in the gluten network might have expedited starch entrapment, thereby building up the dough’s structure and reducing the bread’s texture [46]. It was expected that bread (control) with higher gluten content would be more elastic. The interactions between gluten dough and gelatinised starch, which can create a sponge structure due to high temperature, are thought to cause high springiness values [34]. The hydration of non-gluten flours, like UBF, has weak foaming characteristics and might have resulted in the formation of fewer pockets during the fermentation process, leading to a low springiness in the composite breads [47]. Ho et al. [48] found similar results wherein the cohesiveness and springiness of breads incorporated with banana pseudostem flour decreased.

3.3 Colour profile of breads incorporated with unripe non-commercial banana flour

The crust and crumb colour properties of control and composite breads are depicted in Table 4, and Figure 1 shows the pictures of the formulated bread samples. The L* values of the crumb breads incorporated with UBF were significantly lower compared with the control (74.70), ranging from 61.00 to 66. 78 (LBF) and 62.62 to 65.55 (MBF), respectively. The addition of UBF significantly affected crumb lightness, as observed visually that the crumb of bread samples containing UBF was darker while the control sample had a white colour. Zuwariah and Azizh [49] reported that the crumb of bread composited with banana flour turns darker than wheat bread. Crumb lightness can be modified by the nature and particle size of the milled flour [50]. Bananas are very rich in polyphenols; nonetheless, the darkening influence might be due to the phenolase activity in the banana while milled into flour [36]. Furthermore, the decreased crust lightness of composite breads could be due to chemical reactions which occur in bread crust, such as Maillard browning caused by a reaction between wheat protein, added sugars, and caramelisation, which are influenced by the distribution of water and reaction of added sugars [51].

Table 4

Colour profile of the breads incorporated with unripe non-commercial banana flour

Breads L* a * b * Chroma Hue Colour difference
Crumb
Control 74.70 ± 0.53a 5.91a ± 0.28a 23.12 ± 0.67a 23.87 ± 0.71a 75.67 ± 0.34a 0.00 ± 0.00h
LBF1 66.78 ± 1.30b 5.66 ± 0.67b 20.53 ± 2.06b 21.30 ± 2.16b 74.61 ± 0.27a 8.33 ± 0.03g
LBF2 64.21 ± 0.50b 5.61 ± 0.09b 17.58 ± 0.21d 18.45 ± 0.22c 72.57 ± 0.11ab 11.87 ± 0.05e
LBF3 61.44 ± 1.34c 5.48 ± 0.25c 16.52 ± 0.61d 17.41 ± 0.66c 72.28 ± 1.70ab 14.82 ± 0.02b
LBF4 61.00 ± 3.29c 5.33 ± 0.29d 15.41 ± 0.75d 6.31 ± 0.81e 70.32 ± 1.16c 15.74 ± 0.02a
MBF1 65.55 ± 0.94b 5.60 ± 0.69b 21.25 ± 0.03b 20.90 ± 1.80b 74.22 ± 0.66a 9.35 ± 0.03f
MBF2 63.05 ± 0.35bc 5.49 ± 0.43c 20.71 ± 0.56b 18.38 ± 0.98c 72.40 ± 0.58ab 11.91 ± 0.06e
MBF3 62.20 ± 0.11c 5.19 ± 0.69e 19.39 ± 0.60bc 17.20 ± 0.47c 70.40 ± 1.10c 13.07 ± 0.02d
MBF4 62.62 ± 0.44c 5.10 ± 0.40ef 16.49 ± 0.53d 9.90 ± 0.72d 70.25 ± 1.30c 13.81 ± 0.05c
Crust
Control 59.99 ± 3.88a 18.44 ± 0.33a 35.21 ± 0.56a 39.75 ± 0.35a 62.72 ± 0.08a 0.00 ± 0.00i
LBF1 58.32 ± 1.59a 17.55 ± 0.18a 34.03 ± 0.24a 38.29 ± 0.30a 62.57 ± 0.40a 2.23 ± 0.04h
LBF2 57.87 ± 0.34ab 16.16 ± 0.69b 31.56 ± 1.41cd 34.96 ± 2.11bc 62.03 ± 0.79ab 4.78 ± 0.03e
LBF3 54.62 ± 1.76c 14.99 ± 2.21c 30.43 ± 0.69b 34.46 ± 0.86c 61.68 ± 2.61c 7.97 ± 0.04c
LBF4 52.89 ± 2.10d 13.44 ± 0.84d 28.70 ± 0.71e 31.69 ± 0.98c 60.93 ± 0.90e 10.85 ± 0.03b
MBF1 58.26 ± 0.89a 17.49 ± 0.06a 33.54 ± 0.39b 38.37 ± 0.76a 62.50 ± 0.10a 2.59 ± 0.03g
MBF2 57.50 ± 0.28ab 16.25 ± 0.06b 32.61 ± 0.29c 35.60 ± 0.69b 61.97 ± 1.00b 3.68 ± 0.03f
MBF3 55.59 ± 0.33c 15.01 ± 0.08c 30.67 ± 0.45d 34.50 ± 0.85c 61.18 ± 2.20d 7.19 ± 0.04d
MBF4 53.21 ± 0.13cd 13.51 ± 0.09d 28.23 ± 1.02e 32.10 ± 0.90d 60.85 ± 2.30e 10.91 ± 0.05a

Mean ± standard deviation in triplicates. Values in the same column with different letters show significant differences (p < 0.05). Control = 100% wheat flour; LBF1 to LBF4 = 2.5, 5, 7.5, and 10% LBF; and MBF1 to MBF4 = 2.5, 5, 7.5, and 10% MBF.

Figure 1 
                  White bread formulated with (a) Luvhele flour and (b) Mabonde flour.
Figure 1

White bread formulated with (a) Luvhele flour and (b) Mabonde flour.

Similar to crumb, the crust lightness was reduced as the percentage of UBF increased, with values varying from 58.32 to 52.89 (LBF) and 58.26 to 53.21 (MBF), respectively. No significant difference was observed between the crust of control bread and the crust of breads containing 2.5% of UBF. The decrease in the a* and b* values of composite breads characterised the colour shift from crumb to the crust. The availability of phytochemicals such as carotenoids, polyphenols, and xantophylls that are related to the colour characteristics of banana fruit might be the cause of the decrease in crust lightness of composite breads [52]. On the other hand, the majority of bread samples, except for breads incorporated with 10% UBF, were within the acceptable range of L* value for the bread crust, which is 54–62 [39]. Parafati et al. [34] also reported low L* values in bread enriched with 20% prickly pear peel flour, and values ranged from 66.6 to 47.9 for crust and 65.5 to 57.9 for crumb.

The redness (a*) and yellowness (b*) of the crumb and crust of breads decreased with the incorporation of UBF, as shown in Table 3. The low b* values of composite breads might be due to oxidation of carotenoid, which is naturally available in wheat and UBF flours. The loss of carotenoids during the production steps of bread compared to other bakery products has been reported [53]. Liu et al. [54] observed similar results wherein the inclusion of yam flour decreased the b * value of breads. Chroma (C*) and hue angle (h°) were determined to have a complete characterisation of the colour of breads. Chroma is mainly associated with colour purity. Control bread showed a significantly higher purity of yellowness in crumb and crust than breads containing UBF. It was noted that the inclusion of UBF reduced the hue value in the red quadrant. However, the obtained hue was positive, which reflected a yellow-orange hue. The decrease in hue values in the red quadrant with an increase in the ratio of UBF was notable in both crust and crumb.

The colour difference (ΔE) of the crust and crumb of composite breads increased with the increasing levels of LBF and UBF. The increase in the ΔE value of composite breads might be attributed to the composition of ingredients and generation of red pigments because of the Maillard reaction during baking [55]. The ΔE values of all composite breads were higher than three, suggesting an obvious colour difference for the human eye [56].

3.4 Sensory properties of breads incorporated with unripe non-commercial banana flours

The mean scores for sensory parameters, colour, aroma, taste, texture, and overall acceptability, were obtained from a nine-point hedonic scale and are shown in Table 5. There was no significant difference (P ≥ 0.05) between control bread and composite breads up to 7.5% UBF regarding aroma, taste, and overall acceptability. On the other hand, a significant difference was observed among breads with regard to colour and texture characteristics. Moreover, the consumer acceptance of wheat breads was affected by an increased ratio of 10% UBF in all sensory attributes. Ajala et al. [57] reported similar results wherein the addition of plantain flour at 50% resulted in bread with dark brownish colour, which was not well accepted by consumers. A high ratio of UBF resulted in a negative effect on consumer colour acceptance, as consumers showed neither like nor dislike for breads. The overall acceptability in control bread was 7.69, while in 10% UBF breads it was 7.31 (LBF) and 7.27 (MBF), respectively. This decrease in overall acceptance was due to the low score of mouth feel of breads made from a different ratio of UBF. A similar observation of consumers’ lower overall acceptance of breads was reported in breads incorporated with plantain and soybean flour [49].

Table 5

Sensory evaluation of breads incorporated with unripe non-commercial banana flour

Breads Sensory parameters
Colour Aroma Texture Taste Overall acceptability
Control 7.82 ± 1.2a 7.39 ± 1.6a 7.49 ± 1.3a 7.48 ± 1.7a 7.69 ± 1.5a
LBF1 7.61 ± 1.1b 7.37 ± 1.4a 7.20 ± 1.5b 7.46 ± 1.6a 7.65 ± 1.3a
LBF2 5.69 ± 1.8f 7.35 ± 1.8a 6.76 ± 1.7c 7.43 ± 1.7a 7.63 ± 1.5a
LBF3 5.67 ± 1.9f 7.32 ± 1.6a 6.56 ± 1.7d 7.41 ± 1.7a 7.60 ± 1.6a
LBF4 5.03 ± 2.1g 7.11 ± 1.8b 6.27 ± 1.7e 7.23 ± 1.5b 7.31 ± 1.7b
MBF1 6.60 ± 1.6c 7.38 ± 1.6a 7.23 ± 1.7b 7.47 ± 1.9a 7.66 ± 1.5a
MBF2 6.48 ± 1.9d 7.35 ± 1.7a 6.77 ± 1.9c 7.44 ± 1.9a 7.63 ± 1.5a
MBF3 6.17 ± 2.0e 7.32 ± 1.8a 6.50 ± 1.9d 7.42 ± 2.0a 7.61 ± 1.7a
MBF4 6.11 ± 2.2e 7.15 ± 2.0b 6.28 ± 2.0e 7.20 ± 2.2b 7.27 ± 1.9b

Values with the same superscript letters within a column are not significantly different at p < 0.05. Control = 100% wheat flour; LBF1 to LBF4 = 2.5, 5, 7.5, and 10% LBF; and MBF1 to MBF4 = 2.5, 5, 7.5, and 10% MBF.

Texture attributes contribute strongly to consumer freshness perceptions. Control samples and breads with 2.5% UBF were rated best in terms of texture, and this might be due to gluten in wheat flour, which contributed to the development of the elastic dough. It is well known that wheat flour’s unique baking properties enable it to produce bread with a desirable texture [50]. The texture of bread is associated with the water-holding ability of functional components like starch, protein, and other hydrocolloids. An increase in the UBF ratio increased the hardness of breads (Table 3), which could be affected by the crumb cell’s size or structure and is also greatly influenced by the amount and characteristics of dough’s gluten protein [51]. The results suggest that overall, UBF of Luvhele and Mabonde banana cultivars at a level of 2.5 to 7.5% (w/w) might be incorporated in bread production without affecting sensory parameters such as aroma, taste, and overall acceptability.

4 Conclusion

The incorporation of UBF of non-commercial banana cultivars into wheat bread resulted in substantial modifications across various physical attributes. Notably, LBF- and MBF-incorporated bread samples showed higher weight and density at all substitution levels, while the volume and specific volume decreased. In terms of the texture, the composite breads showed an increase in the hardness with values of 1,011 and 1,015 g at a 10% substitution level for LBF and MBF, respectively. On the other hand, both types of enriched bread samples exhibited lower chewiness, cohesiveness, and springiness. However, no change was observed in cohesiveness and springiness at a 2.5% substitution level compared to the control. The inclusion of LBF and MBF affected the lightness of bread crumbs and crust, and the colour of breads decreased due to an increase in the dark brown colour. Sensory evaluation showed that up to 7.5% level of LBF and MBF can be incorporated into bread production without interfering with bread’s sensory attributes such as taste and overall acceptability. Therefore, the results demonstrated that green Luvhele and Mabonde banana cultivars could be utilised in bread and confectionery products at lower substitution levels. Further studies of the effect of these non-commercial banana cultivars on the nutritional, antioxidant, and starch digestibility of wheat bread should be explored.

  1. Funding information: Authors state no funding involved.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results and approved the final version of the manuscript. Conceptualization, MEM; methodology, HM and NM; data analysis, MEM, HM, NM, and SER; writing – original draft preparation, MEM, HM, and NM; writing, review, and editing, MEM and SER.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Received: 2024-01-12
Revised: 2024-07-28
Accepted: 2024-08-05
Published Online: 2024-09-24

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  76. Transformative learning and engagement with organic farming: Lessons learned from Indonesia
  77. Tourism in rural areas as a broader concept: Some insights from the Portuguese reality
  78. Assessment enhancing drought tolerance in henna (Lawsonia inermis L.) ecotypes through sodium nitroprusside foliar application
  79. Edible insects: A survey about perceptions regarding possible beneficial health effects and safety concerns among adult citizens from Portugal and Romania
  80. Phenological stages analysis in peach trees using electronic nose
  81. Harvest date and salicylic acid impact on peanut (Arachis hypogaea L.) properties under different humidity conditions
  82. Hibiscus sabdariffa L. petal biomass: A green source of nanoparticles of multifarious potential
  83. Use of different vegetation indices for the evaluation of the kinetics of the cherry tomato (Solanum lycopersicum var. cerasiforme) growth based on multispectral images by UAV
  84. First evidence of microplastic pollution in mangrove sediments and its ingestion by coral reef fish: Case study in Biawak Island, Indonesia
  85. Physical and textural properties and sensory acceptability of wheat bread partially incorporated with unripe non-commercial banana cultivars
  86. Cereibacter sphaeroides ST16 and ST26 were used to solubilize insoluble P forms to improve P uptake, growth, and yield of rice in acidic and extreme saline soil
  87. Avocado peel by-product in cattle diets and supplementation with oregano oil and effects on production, carcass, and meat quality
  88. Optimizing inorganic blended fertilizer application for the maximum grain yield and profitability of bread wheat and food barley in Dawuro Zone, Southwest Ethiopia
  89. The acceptance of social media as a channel of communication and livestock information for sheep farmers
  90. Adaptation of rice farmers to aging in Thailand
  91. Combined use of improved maize hybrids and nitrogen application increases grain yield of maize, under natural Striga hermonthica infestation
  92. From aquatic to terrestrial: An examination of plant diversity and ecological shifts
  93. Statistical modelling of a tractor tractive performance during ploughing operation on a tropical Alfisol
  94. Participation in artisanal diamond mining and food security: A case study of Kasai Oriental in DR Congo
  95. Assessment and multi-scenario simulation of ecosystem service values in Southwest China’s mountainous and hilly region
  96. Analysis of agricultural emissions and economic growth in Europe in search of ecological balance
  97. Bacillus thuringiensis strains with high insecticidal activity against insect larvae of the orders Coleoptera and Lepidoptera
  98. Technical efficiency of sugarcane farming in East Java, Indonesia: A bootstrap data envelopment analysis
  99. Comparison between mycobiota diversity and fungi and mycotoxin contamination of maize and wheat
  100. Evaluation of cultivation technology package and corn variety based on agronomy characters and leaf green indices
  101. Exploring the association between the consumption of beverages, fast foods, sweets, fats, and oils and the risk of gastric and pancreatic cancers: Findings from case–control study
  102. Phytochemical composition and insecticidal activity of Acokanthera oblongifolia (Hochst.) Benth & Hook.f. ex B.D.Jacks. extract on life span and biological aspects of Spodoptera littoralis (Biosd.)
  103. Land use management solutions in response to climate change: Case study in the central coastal areas of Vietnam
  104. Evaluation of coffee pulp as a feed ingredient for ruminants: A meta-analysis
  105. Interannual variations of normalized difference vegetation index and potential evapotranspiration and their relationship in the Baghdad area
  106. Harnessing synthetic microbial communities with nitrogen-fixing activity to promote rice growth
  107. Agronomic and economic benefits of rice–sweetpotato rotation in lowland rice cropping systems in Uganda
  108. Response of potato tuber as an effect of the N-fertilizer and paclobutrazol application in medium altitude
  109. Bridging the gap: The role of geographic proximity in enhancing seed sustainability in Bandung District
  110. Evaluation of Abrams curve in agricultural sector using the NARDL approach
  111. Challenges and opportunities for young farmers in the implementation of the Rural Development Program 2014–2020 of the Republic of Croatia
  112. Yield stability of ten common bean (Phaseolus vulgaris L.) genotypes at different sowing dates in Lubumbashi, South-East of DR Congo
  113. Effects of encapsulation and combining probiotics with different nitrate forms on methane emission and in vitro rumen fermentation characteristics
  114. Phytochemical analysis of Bienertia sinuspersici extract and its antioxidant and antimicrobial activities
  115. Evaluation of relative drought tolerance of grapevines by leaf fluorescence parameters
  116. Yield assessment of new streak-resistant topcross maize hybrids in Benin
  117. Improvement of cocoa powder properties through ultrasonic- and microwave-assisted alkalization
  118. Potential of ecoenzymes made from nutmeg (Myristica fragrans) leaf and pulp waste as bioinsecticides for Periplaneta americana
  119. Analysis of farm performance to realize the sustainability of organic cabbage vegetable farming in Getasan Semarang, Indonesia
  120. Revealing the influences of organic amendment-derived dissolved organic matter on growth and nutrient accumulation in lettuce seedlings (Lactuca sativa L.)
  121. Identification of viruses infecting sweetpotato (Ipomoea batatas Lam.) in Benin
  122. Assessing the soil physical and chemical properties of long-term pomelo orchard based on tree growth
  123. Investigating access and use of digital tools for agriculture among rural farmers: A case study of Nkomazi Municipality, South Africa
  124. Does sex influence the impact of dietary vitD3 and UVB light on performance parameters and welfare indicators of broilers?
  125. Design of intelligent sprayer control for an autonomous farming drone using a multiclass support vector machine
  126. Deciphering salt-responsive NB-ARC genes in rice transcriptomic data: A bioinformatics approach with gene expression validation
  127. Review Articles
  128. Impact of nematode infestation in livestock production and the role of natural feed additives – A review
  129. Role of dietary fats in reproductive, health, and nutritional benefits in farm animals: A review
  130. Climate change and adaptive strategies on viticulture (Vitis spp.)
  131. The false tiger of almond, Monosteira unicostata (Hemiptera: Tingidae): Biology, ecology, and control methods
  132. A systematic review on potential analogy of phytobiomass and soil carbon evaluation methods: Ethiopia insights
  133. A review of storage temperature and relative humidity effects on shelf life and quality of mango (Mangifera indica L.) fruit and implications for nutrition insecurity in Ethiopia
  134. Green extraction of nutmeg (Myristica fragrans) phytochemicals: Prospective strategies and roadblocks
  135. Potential influence of nitrogen fertilizer rates on yield and yield components of carrot (Dacus carota L.) in Ethiopia: Systematic review
  136. Corn silk: A promising source of antimicrobial compounds for health and wellness
  137. State and contours of research on roselle (Hibiscus sabdariffa L.) in Africa
  138. The potential of phosphorus-solubilizing purple nonsulfur bacteria in agriculture: Present and future perspectives
  139. Minor millets: Processing techniques and their nutritional and health benefits
  140. Meta-analysis of reproductive performance of improved dairy cattle under Ethiopian environmental conditions
  141. Review on enhancing the efficiency of fertilizer utilization: Strategies for optimal nutrient management
  142. The nutritional, phytochemical composition, and utilisation of different parts of maize: A comparative analysis
  143. Motivations for farmers’ participation in agri-environmental scheme in the EU, literature review
  144. Evolution of climate-smart agriculture research: A science mapping exploration and network analysis
  145. Short Communications
  146. Music enrichment improves the behavior and leukocyte profile of dairy cattle
  147. Effect of pruning height and organic fertilization on the morphological and productive characteristics of Moringa oleifera Lam. in the Peruvian dry tropics
  148. Corrigendum
  149. Corrigendum to “Bioinformatics investigation of the effect of volatile and non-volatile compounds of rhizobacteria in inhibiting late embryogenesis abundant protein that induces drought tolerance”
  150. Corrigendum to “Composition and quality of winter annual agrestal and ruderal herbages of two different land-use types”
  151. Special issue: Smart Agriculture System for Sustainable Development: Methods and Practices
  152. Construction of a sustainable model to predict the moisture content of porang powder (Amorphophallus oncophyllus) based on pointed-scan visible near-infrared spectroscopy
  153. FruitVision: A deep learning based automatic fruit grading system
  154. Energy harvesting and ANFIS modeling of a PVDF/GO-ZNO piezoelectric nanogenerator on a UAV
  155. Effects of stress hormones on digestibility and performance in cattle: A review
  156. Special Issue of The 4th International Conference on Food Science and Engineering (ICFSE) 2022 - Part II
  157. Assessment of omega-3 and omega-6 fatty acid profiles and ratio of omega-6/omega-3 of white eggs produced by laying hens fed diets enriched with omega-3 rich vegetable oil
  158. Special Issue on FCEM - International Web Conference on Food Choice & Eating Motivation - Part II
  159. Special Issue on FCEM – International Web Conference on Food Choice & Eating Motivation: Message from the editor
  160. Fruit and vegetable consumption: Study involving Portuguese and French consumers
  161. Knowledge about consumption of milk: Study involving consumers from two European Countries – France and Portugal
Heruntergeladen am 21.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/opag-2022-0348/html
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