Research article

Escherichia coli and Listeria innocua stability in carrot juice preserved by high hydrostatic pressure

  • Received: 18 March 2022 Revised: 06 June 2022 Accepted: 25 July 2022 Published: 08 August 2022
  • The effect of High Hydrostatic Pressure (HHP) on Escherichia coli and Listeria innocua in carrot juice was evaluated just after pressurization and during refrigerated storage for 14 days. Samples were processed with different variants of pressure (300,400,500) and time (1 min, 5 min, and 10 min). The number of bacteria in the populations was analyzed using plating count methods. Required 5 log reduction was achieved only for L. innocua strains starting from 400 MPa for 5 min. E. coli strains displayed resistance to pressure, and the maximum reduction achieved was 2 log CFU/mL for the harshest process parameters. Sublethal injuries in the bacterial population were observed for all tested strains. According to two standardized ISO methods, selective conventional agars, TBX, and ALOA were used in the storage test. Additionally, the Thin Agar Layer (TAL) method was applied. In both used methods, the possibilities of recovery were provided. The regeneration was observed exclusively for L. innocua strains. The recovery of sublethally injured cells on ALOA and TAL did not differ statistically in every strain. In turn, results obtained for E. coli suggest that TBX may underestimate the number of HHP-injured bacteria.

    Citation: Justyna Nasiłowska, Barbara Sokołowska, Monika Fonberg-Broczek. Escherichia coli and Listeria innocua stability in carrot juice preserved by high hydrostatic pressure[J]. AIMS Agriculture and Food, 2022, 7(3): 623-636. doi: 10.3934/agrfood.2022039

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  • The effect of High Hydrostatic Pressure (HHP) on Escherichia coli and Listeria innocua in carrot juice was evaluated just after pressurization and during refrigerated storage for 14 days. Samples were processed with different variants of pressure (300,400,500) and time (1 min, 5 min, and 10 min). The number of bacteria in the populations was analyzed using plating count methods. Required 5 log reduction was achieved only for L. innocua strains starting from 400 MPa for 5 min. E. coli strains displayed resistance to pressure, and the maximum reduction achieved was 2 log CFU/mL for the harshest process parameters. Sublethal injuries in the bacterial population were observed for all tested strains. According to two standardized ISO methods, selective conventional agars, TBX, and ALOA were used in the storage test. Additionally, the Thin Agar Layer (TAL) method was applied. In both used methods, the possibilities of recovery were provided. The regeneration was observed exclusively for L. innocua strains. The recovery of sublethally injured cells on ALOA and TAL did not differ statistically in every strain. In turn, results obtained for E. coli suggest that TBX may underestimate the number of HHP-injured bacteria.



    Globally, cowpea (Vigna unguiculata L. Walp.) occupies cultivated land of about 14 million ha, with estimated annual production yield totalling about 6 million metric tons [1]. Across semi-arid tropics of Southern Europe, Africa, Asia, South and Central America and Southern US, cowpea serves as food/forage [2,3]. Specifically, Africa holds about 84% of the globe's overall production of cowpea [1,4]. In West Africa, Nigeria persists to thrive as the largest consumer/producer of cowpea grain [1,3]. More so, cowpea still remains an affordable global protein source, especially for the low income earners. Despite its extensive consumption in Africa, the cowpea appears underutilised, particularly its immature/mature pods/seeds [5], crucially important to livelihood, given its high-quality nutritive value [1]. Conventional processing methods like boiling, fermentation, germination, soaking and drying enables cowpea to provide functional food ingredients by decreasing the presence of undesirable phytochemicals, and optimising its utilisation, which further enhances its acceptability and nutritional quality [5]. Besides being consumed either alone and or in combination dishes, cowpea seeds have continued to attract considerable interest in other forms like extruded products, flour and paste. By processing the cowpea seeds, food products like moi-moi (a steam-gelled cowpea paste), and akara (an oil fried cowpea paste) have emerged [68], which continues to thrive across communities in Nigeria, spreading across the West Africa subregion.

    Functionality with respect to food ingredient/product refers to any measurable property, which is applicable to the cowpea context, except those nutritional aspects that affect its utilization [6]. When processed into flour, the resultant foaming, gelation, hydration and pasting attributes in cowpea reflect its suitability in food preparation and product development [9]. Over the years, the preparation of moi-moi either from cowpea flour (processed by dry-milling) or paste (processed by wet-milling) has evolved from the indigenous processing methods, which is based on its sustained high protein content and palatability [7,8]. The transformation of cowpeas into a convenient-to-use milled form to make the moi-moi slurry by reconstitution will save lots of time and energy. In this form the addition of water to form the paste eliminates the soaking, decorticating and milling stages for the consumer [6,8]. Making the best of the soaking as well as dehulling processes of the cowpea grains would eventually influence the moi-moi yield and water take up [9]. Despite being considered the less cumbersome, the use of flour production to make moi-moi appears increasingly popular among domestic and commercial producers [8,9]. Further, in making the moi-moi product, the steaming heat helps to curdle the flour and paste to form a steady gel [8]. When moi-moi is processed from steamed cowpea paste phase separation could occur in the product which could affect the product aesthetics and consumer acceptance [8].

    Freshly harvested cowpea possesses high moisture content and can be stored in cans or frozen to make them available especially when required in making the moi-moi [8,9]. Short- and long-term storage of cowpea, however, is affected by the grain percentage moisture contents being between 8%–12% [10]. From the storage perspective and applicable to cowpea, freezing represents a preservation practice that involves the crystallization of water, which requires the removal of latent heat [11,12]. Freezing temperatures of about −18 ℃ or below could help maintain the moisture contents of cowpea to such above-mentioned percentages, slow down the chemical changes, arrest the microbial proliferation, and significantly extend the shelf time [13]. Feasibly, freezing might enhance the characteristics of the cowpea grain and subsequent final products like moi-moi. Combining freezing with cowpea's conventional processing should improve the emergent quality of moi-moi products particularly with respect to (cowpea) varieties. In this current work, therefore, the combined impact of freezing and soaking times on different cowpea varieties' flour functionality and resultant gel strength, sensory and product yield of moi-moi were studied. The analysis of flour functionality involved the determinations of moisture content, bulk density, oil absorption capacity, swelling index and water absorption capacity, whereas those of moi-moi samples involved the determinations of gel strength, sensory and product yield.

    For the preparation of the moi-moi product, six different varieties of cowpea commercially available in Nigeria were obtained from the Ekeukwu market (5.48537 °N, 7.03579 °E) in Owerri, Imo State, Nigeria. Specifically, the six different cowpea varieties were IT97k-461-4, IT89KD-391, Potasko Brown, IT89KD-288, IT97K-82-2 and Potasko White. The local market association helps to authenticate and assure the consumer safety and product viability of cowpea varieties being sold. The equipment and other materials for the laboratory analysis were provided by the Department of Food Science and Technology and Imo State Government of Nigeria-Agricultural Development Programme (Imo-ADP) HQ.

    A schematic flow diagram showing the making of flour samples from the frozen and non-frozen cowpea samples is depicted in Figure 1. In order to make the flour samples, the individual collected cowpea varieties were sorted, cleaned and divided into two portions, one portion was frozen for one week, while the others non-freezed. Thereafter, for all, soaking at different time intervals of 1, 2 and 3 h in water were performed, dehulled, oven-dried and dry-milled using attrition milling machine to obtain the cowpea flour. A schematic flow diagram showing the making of paste from the frozen and non-frozen cowpea samples is depicted in Figure 2. To make the paste samples, the individual cowpea varieties were sorted, cleaned divided into two portions, one portion frozen for one week, while the others non-frozen. Thereafter, samples were soaked (different time intervals of 1, 2 and 3 h) in water, dehulled, and wet-milled using attrition milling machine to obtain the cowpea paste samples.

    Figure 1.  A schematic flow diagram showing the making of flour samples from the frozen and non-frozen cowpea samples.
    Figure 2.  A schematic flow diagram showing the making of paste from the frozen and non-frozen cowpea samples.

    The preparation of moi-moi samples herein followed the method described by Frank-Peterside, Dosumu and Njoku [14] with slight modifications. The fresh cowpea pastes, already prepared from the different cowpea varieties reconstituted with water at (different) volumes (150,200,250 and 300 mL), were thoroughly mixed using a blender (HM 430, Selangor, Malaysia) for 5 min, then ingredients were added as prescribed by Frank-Peterside, Dosumu and Njoku[14], then continued mix for about 2 min. To ensure the uniformity of each sample, the same big stainless spoon was used to scoop the cowpea paste into aluminum foil, subsequently wrapped and placed in the pot, with steam holder. All samples were subject to steam cooking of about 40 min, after which the samples were allowed to cool until required for analysis.

    Flour functionality of different cowpea varieties from frozen and non-frozen aspects involved determinations of bulk density, moisture content, oil absorption capacity, swelling index, and water absorption capacity.

    a). Determination of bulk density

    Bulk density (BD) was determined using the method described by Chandi and Sogi [15] with slight modifications. A weighed sample (~10 g) was put in a calibrated 10 mL measuring cylinder. Then the bottom of the cylinder was tapped repeatedly onto a firm pad on a laboratory bench until a constant volume was observed. The packed volume was recorded. The BD was calculated as the ratio of the sample weight to the volume occupied by the sample after tapping.

    Bulkdensity(g/mL)=weightofsample(g)/volumeofsample(mL). (1)

    b). Determination of moisture content

    Moisture content (MC) was determined using the method described by Association of Official Analytical Chemist[16]. Approximately 5 g of sample will be to be weighed into petri dish of known weight and then dried in the oven at 105 ± 1 ℃ for ~4 h. The samples will be cooled in a desiccator and re-weighed. The moisture content will be calculated as follows:

    Percentagemoisturecontent=changeinweightinitialweightofsamplebeforedryingX100. (2)

    c). Determination of oil absorption capacity

    Oil absorption capacity (OAC) was determined using the method described by Chandi and Sogi [15] with slight modifications. One gram of sample was weighed into a clean conical graduated centrifuge tube and mixed thoroughly with 10 mL oil using a warring mixer for 30 seconds. The sample was then allowed to stand for 30 min at ambient temperature, after which it will be centrifuged at 5000 rpm for 30 min. After centrifugation, the volume of the oil was read directly from the graduated centrifuge tube. The absorbed oil was converted to weight (in grams) by multiplying by the density of oil (0.894 g/mL). The OAC was expressed in grams of oil absorbed per gram (g/g) of flour sample.

    Absorbedoil=TotaloilFreeoil. (3)

    d). Determination of swelling index

    Swelling index (SI) was determined using the method as described by Kaur et al. [17] with slight modifications. This was determined as the ratio of the swollen volume to the ordinary volume of a unit weight of the flour. Approximately 1 g of weighed sample was placed in a clean dry measuring cylinder. Then, the volume occupied was recorded before 50 mL clean water was added. This was left to stand for 1 h, after which the volume was observed and recorded. The swelling index of sample was determined using the equation below:

    Swellingindex=VolumeoccupiedbysampleafterswellingVolumeoccupiedbysamplebeforeswelling. (4)

    e). Determination of water absorption capacity

    Water absorption capacity (WAC) was determined using the centrifugation method, modified from Darbour et al. [9]. One gram of sample has been thoroughly mixed with 10 mL distilled water using a warring mixer for 30 s. The sample was then allowed to stand for 30 min at room temperature (30 ± 2 ℃), after which it was centrifuged at 5000 rpm for 30 min. After centrifugation, the volume of the free water (supernatant) was read. The WAC was then calculated as mL of water absorbed per gram of flour.

    a). Determination of gel strength

    The moi-moi samples already prepared in a cylindrical container, and allowed to cool at room temperature overnight wrapped the moi-moi using aluminum foil, were subject to gel strength (g/mm2) using the procedure of Kumar and Fotedar [18] with slight modifications. The TX2i texturometer (Stable Micro Systems, Surrey, UK) operated with a cylindrical plunger 10 mm in diameter and cross-head speed of 1 mm/s to a 5 mm depth into the firmly placed (aluminum foil-wrapped) moi-moi, and readings were recorded.

    b). Determination of sensory attributes

    The sensory evaluation was performed using the method described by Meilgaard et al. [19] with slight modifications. The sensory panelists comprised 25-member semi-trained test panel drawn up from the community of Federal University of Technology Owerri (FUTO). All panelists, already confirmed as consumers of moi-moi, undertook sensory training with evaluation criteria of moi-moi samples. Participation was voluntary, and verbal consent was taken before sensory evaluation. To ensure their privacy, neither names nor gender were reported. The sensory evaluation forms were provided, and each moi-moi treatment were coded. Each panelist had sufficient space, which ensured that one's opinion did not influence the other during the sensory evaluation for aroma, colour, taste, texture and general acceptance, which involved a 9-point hedonic scale where 9: like extremely, 8: like very much, 7: like moderately, 6: like slightly, 5: neither like nor dislike, 4: dislike slightly, 3: dislike moderately, 2: dislike very much, and 1: dislike extremely. Consistent with Çakmakçı et al. [20], each sensory panelist was provided clean warm water to cleanse taste palates between samples, which ensured that the evaluation of previous moi-moi sample did not influence the new one.

    c). Determination of the yield

    The moi-moi yield was evaluated by comparing the measured weight of cowpea flours against that of moi-moi per sample by percentage. This was calculated as follows:

    %Yield=MassofeachcowpeafloursampleMassofthefinalproductfromeachfloursampleX100. (5)

    One-way analysis of variance (ANOVA) was applied to data obtained from triplicate measurements, and presented as mean ± standard deviation (SD). The probability level was set at p < 0.05. Mean differences were resolved using Fischer's least significant difference (LSD). Minitab version 16 (Minitab Ltd., Coventry CV3 2TE, UK) was used to run the data.he heading levels should not be more than 4 levels.

    Functional attributes (namely MC, SI, WAC, OAC and BD) of flour samples across different cowpea varieties are shown in Table 1. Across the cowpea flour samples, significant differences (p < 0.05) were found with such ranges as between 7.11 ± 0.02 and 13.82 ± 0.04 % for MC, 1.21 ± 0.11 and 1.57 ± 0.18 g/mL for SI, 1.90 ± 0.04 and 2.81 ± 0.02 g/g for WAC, 1.23 ± 0.05 and 2.29 ± 0.01 g/g for OAC, 0.38 ± 0.02 and 0.93 ± 0.07 g/mL for BD. On one hand, the peak MC (13.82 ± 0.04%), SI (1.57 ± 0.18 g/mL), WAC (2.81 ± 0.02 g/g), OAC (2.29 ± 0.01 g/g), and BD (0.93 ± 0.07 g/mL) were found in samples ENF, AF, DNF, FNF and AF, respectively. On the other hand, the least MC (5.38 ± 0.02%), SI (1.21 ± 0.11 g/mL), WAC (1.90 ± 0.04 g/g), OAC (1.23 ± 0.05 g/g) and BD (0.38 ± 0.02 g/mL) were found in samples FF, FNF, EF and ENF (OAC and BD), respectively. Competitive to the current study, De Angelis et al. [21] reported BD of 0.91 g/mL and WAC of 1.01 g/g of refined cowpea flour produced in Benin Republique. These workers understood that such physicochemical attributes as BD (and WAC) would strongly influence the overall food product.

    Table 1.  Functional attributes (moisture content, swelling index, water and oil absorption capacity and bulk density) of flour samples across different cowpea varieties.
    Sample Moisture content (%) Swelling index (g/ml) Water absorption capacity (g/g) Oil absorption capacity (g/g) Bulk density (g/ml)
    AF 9.44f ± 0.33 1.57a ± 0.18 2.32c ± 0.10 1.82bc ± 0.17 0.93a ± 0.07
    ANF 11.57c ± 0.21 1.39bcde ± 0.17 2.08ef ± 0.02 1.66de ± 0.06 0.56d ± 0.08
    BF 10.92e ± 0.03 1.33def ± 0.01 2.17de ± 0.04 1.63e ± 0.03 0.64c ± 0.01
    BNF 11.23d ± 0.01 1.30def ± 0.02 1.99gh ± 0.02 1.93b ± 0.03 0.68bc ± 0.02
    CF 7.11i ± 0.02 1.28ef ± 0.03 1.91hi ± 0.02 1.48f ± 0.05 0.74b ± 0.03
    CNF 9.21g ± 0.04 1.43abcd ± 0.05 2.19d ± 0.08 1.74cd ± 0.02 0.62cd ± 0.03
    DF 7.55h ± 0.04 1.50ab ± 0.01 2.42b ± 0.05 1.71cde ± 0.11 0.67bc ± 0.03
    DNF 11.90b ± 0.09 1.35cdef ± 0.06 2.81a ± 0.02 1.49f ± 0.04 0.40e ± 0.04
    EF 11.45cd ± 0.06 1.41bcde ± 0.05 1.90i ± 0.04 1.47f ± 0.04 0.65c ± 0.07
    ENF 13.82a ± 0.04 1.42bcd ± 0.08 2.00fg ± 0.02 1.23g ± 0.05 0.38e ± 0.02
    FF 5.38j ± 0.02 1.48abc ± 0.03 2.33c ± 0.03 2.19a ± 0.02 0.70bc ± 0.11
    FNF 7.27i ± 0.03 1.21f ± 0.11 2.28c ± 0.08 2.29a ± 0.01 0.70bc ± 0.02
    LSD 0.12 0.09 0.05 0.07 0.05
    Note: Means with the same superscript do not differ significantly at p > 0.05, means with a different superscript are significantly different at p < 0.05. F: frozen cowpea grain samples, NF: non frozen cowpea samples. A: IT97k-461-4, B: IT89KD-391, C: Potasko Brown, D: IT89KD-288, E: IT97K-82-2, F: Potasko White.

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    Probably, the differences in WAC and OAC might be owed to the varying compositions of cowpea varieties used in this current study. The quantities of starch present might be responsible for the variations in WAC and SI, whereas the fibre might lower these properties [22]. The freezed cowpea grains obtained significantly reduced MC (p < 0.05) over the non-freezed samples, but not so for SI, WAC, OAC and BD at this current study. Besides, WAC would directly influence the ability of some molecules like polysaccharides and proteins to bind moisture/water [21]. In food processing, the properties of ice, water and vapour during freezing occur in phases and transitions. The formed ice during freezing changes how water molecules align, and result in dehydration and solute concentration [23]. It is plausible that the BD of moi-moi of this current study might have been influenced by the density and particle size of the flour, both of which crucial would be in ascertaining the handling ability of the cowpea material [24]. The swelling of food materials would associate with the structural framework of the protein and starch molecules [25]. However, freezing of the cowpea grains samples seemed not to have actually impacted the SI of the flours specific to this current work. Given that environmental impact might strongly influence functional attributes of cowpea varieties, the current findings could be considered preliminary and thus, further investigations is needful.

    Gel strength of moi-moi samples prepared from wet-milled and dry-milled cowpea grains soaked at different time intervals are respectively shown in Tables 2 and 3. Regards the wet milled, there were gel strength ranges at 1 h (from 123.27 ± 1.10 to 174.17 ± 1.33 g/mm2), 2 h (from 143.87 ± 1.44 to 197.70 ± 2.25 g/mm2) and 3 h(from 165.37 ± 1.50 to 243.93 ± 5.48 g/mm2) soaking times. Regards the dry milled, there were gel strength ranges at 1h (from 169.73 ± 0.46 to 242.60 ± 2.25 g/mm2), 2 h (from 191.73± 1.44 to 294.03 ± 1.67 g/mm2) and 3 h (from 210.97 ± 0.64 to 344.97± 4.97 g/mm2) soaking times. Abu et al. [26] understood that swelling related characteristics to be starch-related. These workers also understood SI to strongly and positively correlate with the gel strength in cowpea flours and pastes. Starch degradation in cowpea flours and pastes could inhibit the granule's ability to trap water and swell during gelatinization.

    Table 2.  Gel strength of moi-moi samples prepared from wet-milled cowpea grains soaked at different time intervals.
    Samples Gel strength (penetration rate) of moi-moi by varying soaking times (g/mm2)
    1 h 2 h 3 h
    AF 173.70aA ± 1.04 194.00aB ± 12.12 243.93aC ± 5.48
    ANF 172.10aA ± 1.91 197.70aB ± 2.25 216.43bC ± 5.14
    BF 169.03bA ± 1.44 193.63aB ± 1.10 210.23cC ± 0.98
    BNF 172.20aA ± 2.25 187.00bB ± 0.00 200.13dC ± 0.46
    CF 171.77aA ± 1.96 185.70bB ± 1.21 196.80deC ± 0.87
    CNF 174.17aA ± 1.33 183.07bB ± 0.29 195.00eC ± 1.04
    DF 142.13cA ± 0.98 164.17cB ± 0.92 189.17fC ± 0.81
    DNF 132.67eA ± 1.44 160.34cdB ± 1.67 179.40gC ± 1.39
    EF 130.43eA ± 0.98 155.97deB ± 1.67 176.90gC ± 1.91
    ENF 135.57dA ± 0.98 152.30efB ± 2.42 171.97hC ± 0.06
    FF 123.27gA ± 1.10 149.50fgB ± 0.52 168.97hiC ± 0.12
    FNF 127.34fA ± 1.10 143.87gB ± 1.44 165.37iC ± 150
    LSD 1.439 3.759 2.380
    Note: Means with the same superscript do not differ significantly at p > 0.05, means with a different superscript are significantly different at p < 0.05. F: frozen cowpea grain samples, NF: non frozen cowpea samples. A: IT97k-461-4, B: IT89KD-391, C: Potasko Brown, D: IT89KD-288, E: IT97K-82-2, F: Potasko White.

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    Table 3.  Gel strength of moi-moi samples prepared from dry-milled cowpea grains soaked at different time intervals.
    Samples Gel strength (penetration rate) of moi-moi at different soaking time (g/mm2)
    1 h 2 h 3 h
    AF 242.60aA ± 2.25 294.03aB ± 1.67 344.97aC ± 4.97
    ANF 237.63bA ± 2.37 286.80bB ± 1.21 327.77bC ± 5.14
    BF 215.93dA ± 3.35 259.90cB ± 2.25 291.80dC ± 4.85
    BNF 216.27dA ± 1.10 242.73deB ± 3.93 264.73fgC ± 8.37
    CF 221.20cA ± 2.42 263.40cB ± 1.73 299.30cC ± 1.21
    CNF 207.63eA ± 2.54 244.67dA ± 2.89 280.00eA ± 5.72
    DF 199.50fA ± 0.87 239.40eB ± 2.77 271.80fC ± 2.25
    DNF 197.40fA ± 2.60 234.00fB ± 5.02 263.47gC ± 6.00
    EF 190.70gA ± 4.16 229.27fB ± 1.96 259.17gC ± 2.14
    ENF 187.07gA ± 0.06 222.67gB ± 3.18 240.00hC ± 0.87
    FF 174.70hA ± 1.04 205.27hB ± 4.21 228.63iC ± 2.66
    FNF 169.73iA ± 0.46 191.73iB ± 1.44 210.97jC ± 0.64
    LSD 2.264 2.927 4.404
    Note: Means with the same superscript do not differ significantly at p > 0.05, means with a different superscript are significantly different at p < 0.05. F: frozen cowpea grain samples, NF: non frozen cowpea samples. A: IT97k-461-4, B: IT89KD-391, C: Potasko Brown, D: IT89KD-288, E: IT97K-82-2, F: Potasko White.

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    Comparing Tables 2 and 3, the peak and least gel strength values of dry-milled varied considerably compared to those of wet-milled ones at each specific variety and soaking times. The gel strength of moi-moi samples to increase with soaking time might be because of moisture uptake via polysaccharides (mostly starch) and protein in the flour. Moreover, the protein content of cowpea flour may contribute to the reduced viscosity [21] of this current work, which might reflect the differences in gel strength of the moi-moi samples. Graph trend plot of overall mean gel-strength of samples based on different soaking time intervals is shown in Figure 3. An increased gel strength appears somewhat more in the moi-moi products obtained from freezed compared to non-freezed cowpea grains. Regardless of dry and wet milled methods, the gel strength of moi-moi samples significantly changed (p < 0.05), somewhat more across soaking times, and less across the varieties (Tables 2 and 3). Generally, the gels are viscoelastic in nature and usually formed by the interactions of polysaccharides and proteins within food matrix [27]. Indeed, texture is governed by way the structure of water is manipulated by as well as affects the structure of other ingredients contained in the food matrix, and this is so in foods with high water content [28].

    Figure 3.  Graph trend plot of the overall mean gel-strength of moi-moi product samples specific different soaking time intervals.
    Note: F: frozen cowpea grain samples, NF: non frozen cowpea samples. A: IT97k-461-4, B: IT89KD-391, C: Potasko Brown, D: IT89KD-288, E: IT97K-82-2, F: Potasko White.

    The sensory attributes namely, taste, aroma, colour, texture and general appearance of the moi-moi products from different cowpea varieties are shown in Table 4. Across the varieties, the sensory attributes obtained diverse ranges specific to taste (from 6.40 ± 1.55 to 6.77 ± 1.38), aroma (from 6.07 ± 1.14 to 6.80 ± 1.13), colour (from 6.03 ± 1.85 to 6.80 ± 1.50), texture (from 6.60 ± 1.43 to 6.90 ± 1.40), and general appearance (from 6.70 ± 1.54 to 7.13 ± 1.25). Despite these ranges, the sensory attributes of moi-moi product from different cowpea varieties resembled (p > 0.05), with the exception of aroma (p < 0.05). On one hand, peak values occurred in sensory attributes of taste at BF (6.77 ± 1.38) approximately equal to CF (6.77 ± 0.94), aroma at FF (6.80 ± 1.13), color at FNF (6.80 ± 1.50), texture at CNF (6.93 ± 1.41) and general acceptance at DNF (7.13 ± 1.25). On the other hand, the least values occurred in the sensory attributes of taste at ANF(6.40 ± 1.55), aroma at CF (6.07 ± 1.14), color at BF (6.03 ± 1.85), texture at ANF = BF = FNF (6.60 ± 1.43) and general acceptability at EF = FNF (6.70 ± 1.54). In the author's opinion, the fact that texture attributes remained unchanged according to the panellists suggests the promising consistency of the moi-moi product at this study. Besides, Nyambaka and Ryley [29] understood that textural damage in food products would depend on such factors like its composition, moisture, pH, as well as product history, e.g., sample dimensions and maturity. Additionally, Okwunodulu, Peter and Okwunodulu [30] reported that the moi-moi from cowpea has been associated with desirable beany flavour. Potentially, the differences in sensory attributes of the moi-moi products detected by the panelists of this study might also be attributed to the cowpea varieties.

    Table 4.  Sensory attributes of taste, aroma, colour, texture and general appearance in the moi-moi products from different cowpea varieties.
    Samples Different sensory attributes in the moi-moi products
    Taste Aroma Colour Texture General acceptance
    AF 6.57a ± 1.14 6.47ab ± 1.22 6.73a ± 1.29 6.80a ± 1.42 7.00a ± 1.37
    ANF 6.40a ± 1.55 6.50ab ± 1.08 6.27a ± 1.66 6.60a ± 1.43 6.80a ± 1.35
    BF 6.77a ± 1.38 6.53ab ± 1.14 6.03a ± 1.85 6.60a ± 1.43 6.87a ± 1.61
    BNF 6.67a ± 1.21 6.40ab ± 1.33 6.30a ± 1.80 6.90a ± 1.40 7.00a ± 1.20
    CF 6.77a ± 0.94 6.07b ± 1.14 6.57a ± 1.61 6.83a ± 1.51 7.10a ± 1.47
    CNF 6.60a ± 1.48 6.33ab ± 1.32 6.40a ± 1.33 6.93a ± 1.41 7.00a ± 1.39
    DF 6.73a ± 1.57 6.57ab ± 1.41 6.33a ± 1.52 6.90a ± 1.32 6.93a ± 1.41
    DNF 6.43a ± 1.38 6.57ab ± 1.17 6.13a ± 1.70 6.73a ± 1.48 7.13a ± 1.25
    EF 6.50a ± 1.36 6.40ab ± 1.13 6.43a ± 1.36 6.77a ± 1.43 6.70a ± 1.54
    ENF 6.53a ± 0.97 6.47ab ± 1.11 6.40a ± 1.83 6.67a ± 1.42 7.00a ± 1.14
    FF 6.50a ± 1.68 6.80a ± 1.13 6.47a ± 1.78 6.67a ± 1.40 6.77a ± 1.46
    FNF 6.63a ± 1.25 6.47ab ± 1.36 6.80a ± 1.50 6.60a ± 1.43 6.70a ± 1.54
    LSD N.S. 1.20 N.S. N.S. N.S.
    Note: Means with the same superscript do not differ significantly at p > 0.05, means with a different superscript are significantly different at p < 0.05. F: frozen cowpea grain samples, NF: non frozen cowpea samples. A: IT97k-461-4, B: IT89KD-391, C: Potasko Brown, D: IT89KD-288, E: IT97K-82-2, F: Potasko White.

     | Show Table
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    Moi-moi products' yield (%) obtained from cowpea varieties reconstituted at different water volumes are shown in Table 5. Clearly, moi-moi products' yield were significantly influenced (p < 0.05) by cowpea varieties and reconstituted water volumes. Additionally, the moi-moi products' yield obtained a wide range, that is, 150 mL (from 38.58 ± 1.32 to 60.90 ± 0.68%), 200 mL (from 41.56 ± 2.67 to 62.07 ± 1.53%), 250 mL (from 53.61 ± 2.46 to 65.30 ± 0.52%) and 300 mL (from 55.70 ± 0.89 to 72.04 ± 1.66%). On one hand, the peak moi-moi yield were at BF (60.90 ± 0.68%) and (62.07 ± 1.53%) for 150 mL and 200 mL respectively, FNF (65.30 ± 0.52%) for 250 mL, and FF (72.04 ± 1.66%) for 300 mL. On the other hand, the least moi-moi yield were at ANF (41.85 ± 0.27%) for 150 mL and (53.61 ± 2.46%) for 250 mL, AF (41.56 ± 2.67%) for 200 mL, and CNF (55.70 ± 0.89%) for 300 mL. Further, the moi-moi yield significantly increased (p < 0.05) with reconstituted water volumes, except at samples AF, DNF and EF that non-significantly decreased (p > 0.05) between 150 and 200 mL. Possibly, the increases in MC might add to the bulk/weight of moi-moi product. Reconstituting water volumes particularly between 200 and 250 mL would dramatically increase the moi-moi yield, noticeable at samples AF (between 41.56 ± 2.67 and 54.85 ± 1.96 %), ANF (between 42.83 ± 0.49 and 53.61 ± 2.46%), DF (between 47.05 ±0.08 and 62.48 ± 2.15%), DNF (between 45.72 ± 0.53 and 60.45 ± 0.79%), EF (between 43.97 ± 1.68 and 62.88 ± 1.46%), ENF (between 44.28 ± 0.64 and 59.47 ± 0.92%), FF(between 45.18 ± 0.36 and 62.31 ± 0.03 %), as well as FNF (between 42.39 ± 0.67 and 65.30 ± 0.52%). Possibly, the cowpea varieties might also be contributing to the moi-moi yield at this study.

    Table 5.  Moi-moi products' yield (%) obtained from cowpea varieties reconstituted at different water volumes.
    Samples Moi-moi products' yield (%) obtained at different water volumes
    150 mL 200 mL 250 mL 300 mL
    AF 42.32fA ± 0.59 41.56gA ± 2.67 54.85efB ± 1.96 62.61eC ± 0.72
    ANF 41.85fA ± 0.27 42.83fgA ± 0.49 53.61fB ± 2.46 61.47eC ± 2.13
    BF 60.90aA ± 0.68 62.07aA ± 1.53 62.88bA ± 0.23 66.21dA ± 0.96
    BNF 56.81bA ± 1.03 57.74bA ± 0.45 62.16bcB ± 1.29 62.56eB ± 0.72
    CF 50.05cA ± 0.91 51.73cA ± 1.03 55.90eB ± 0.35 58.23fC ± 0.12
    CNF 48.79cA ± 0.54 50.85cB ± 0.55 54.46efC ± 0.70 55.70gC ± 0.89
    DF 45.78dA ± 0.12 47.05dB ±0.08 62.48bcC ± 2.15 68.99bcD ± 0.77
    DNF 45.97dA ± 0.06 45.72deA ± 0.53 60.45cdB ± 0.79 67.56cdC ± 1.16
    EF 44.71deA ± 0.84 43.97efA ± 1.68 62.88bB ± 1.46 66.23dB ± 0.75
    ENF 42.42fA ± 1.24 44.28efB ± 0.64 59.47dC ± 0.92 70.08bD ± 0.56
    FF 43.22efA ± 3.27 45.18eA ± 0.36 62.31bcB ± 0.03 72.04aC ± 1.66
    FNF 38.58gA ± 1.32 42.39fgB ± 0.67 65.30aC ± 0.52 68.91bcD ± 0.15
    LSD 1.22 1.13 1.31 1.04
    Note: Means with the same superscript do not differ significantly at p > 0.05, means with a different superscript are significantly different at p < 0.05. F: frozen cowpea grain samples, NF: non frozen cowpea samples. A: IT97k-461-4, B: IT89KD-391, C: Potasko Brown, D: IT89KD-288, E: IT97K-82-2, F: Potasko White.

     | Show Table
    DownLoad: CSV

    For emphasis, this current work's hypothesis proposed that combining freezing with conventional processing should be a promising approach to improving the cowpea product. To test this hypothesis, the combined impact of freezing and soaking times on different cowpea varieties' flour functionality and resultant gel strength, sensory, and yield of moi-moi products was implemented. Results showed freezed cowpea obtained significantly reduced MC over the non-freezed samples. However, this would not be so for the SI, WAC, OAC and BD. Regardless of dry and wet milling processing, the gel strength of moi-moi samples significantly changed more across soaking times but less across the varieties. Sensory attributes of taste, color, texture and general acceptability resembled, except the aroma. Clearly, the moi-moi products' yield significantly differed across cowpea varieties and reconstituted water volumes. Overall, this current work has demonstrated the combination of freezing with cowpea's conventional processing involving reconstituted water volumes could benefit moi-moi producers in achieving optimal yield. The direction of future work should be to subject the moi-moi products herein to shelf-life tests under different storage conditions, including physicochemical, and microbiological quality.

    Participation of the sensory evaluation of this study was voluntary, and the verbal consent was taken from panellists. Additionally, to ensure their privacy, neither their names nor gender were indicated at this study.

    Author C.O.R.O. appreciates financial support from Wrocław University of Environmental and Life Sciences, Poland.

    The authors have no conflict of interest to declare.



    [1] Domagała-Świątkiewicz I, Gąstoł M (2012) Comparative study on mineral content of organic and conventional carrot, celery and red beet juice. Acta Sci Pol Hortorum Cultus 11: 173–183.
    [2] USDA Food Data Central (2022) Available from: https://fdc.nal.usda.gov/fdc-app.html#/food-details/746764/nutrients
    [3] Zhu S, Wang Ch, Ramaswamy HS, et al. (2017) Phase transitions during high-pressure treatment of frozen carrot juice and influence on Escherichia coli inactivation. Food Sci Technol 79: 119–125. https://doi.org/10.1016/j.lwt.2017.01.022 doi: 10.1016/j.lwt.2017.01.022
    [4] Sokołowska B, Chotkiewicz M, Niezgoda J, et al. (2011) Evaluation of microbial contamination of commercially available unpasteurized, freshly squeezed fruit and vegetable juices. Zesz Probl Postepow Nauk Roln 569: 219–228.
    [5] Picouet PA, Sarraga C, Cofán S, et al. (2015) Effects of thermal and high-pressure treatments on the carotene content, microbiological safety and sensory properties of acidified and of non-acidified carrot juice. LWT-Food Sci Technol 62: 920–926. https://doi.org/10.1016/j.lwt.2014.07.027 doi: 10.1016/j.lwt.2014.07.027
    [6] Zhang Y, Liu X, Wang Y, et al. (2016) Quality comparison of carrot juices processed by high-pressure processing and high-temperature short-time processing. Innovative. Food Sci Emerging Technol 33:135–144. https://doi.org/10.1016/j.ifset.2015.10.012 doi: 10.1016/j.ifset.2015.10.012
    [7] Huang HW, Lung HM, Yang BB, et al. (2014) Responses of microorganisms to high hydrostatic pressure processing. Food Control 40: 250–259. https://doi.org/10.1016/j.foodcont.2013.12.007 doi: 10.1016/j.foodcont.2013.12.007
    [8] Wu D, Forghani F, Banan-Mwine Daliri E, et al. (2020) Microbial response to some nonthermal physical technologies. Trends Food Sci Technol 95: 107–117. https://doi.org/10.1016/j.tifs.2019.11.012 doi: 10.1016/j.tifs.2019.11.012
    [9] Yamamoto K, Zhang X, Inaoka T, et al. (2021) Bacterial injury induced by high hydrostatic pressure. Food Eng Rev 13: 442–453. https://doi.org/10.1007/s12393-020-09271-8 doi: 10.1007/s12393-020-09271-8
    [10] Siderakou D, Zilelidou E, Poimenidou S, et al. (2021) Assessing the survival and sublethal injury kinetics of Listeria monocytogenes under different food processing-related stress. Int J Food Microbiol 346: 109159. https://doi.org/10.1016/j.ijfoodmicro.2021.109159 doi: 10.1016/j.ijfoodmicro.2021.109159
    [11] Wesche AM, Gurtler JB, Marks BP, et al. (2009) Stress, sublethal injury, resuscitation, and virulence of bacterial foodborne pathogens. J Food Protect 72: 1121–1138. https://doi.org/10.4315/0362-028X-72.5.1121 doi: 10.4315/0362-028X-72.5.1121
    [12] Wu VCH (2008) A review of microbial injury and recovery methods in food. Food Microbiol 25: 735–744. https://doi.org/10.1016/j.fm.2008.04.011 doi: 10.1016/j.fm.2008.04.011
    [13] Kang DH, Fung DYC. (2000) Application of thin agar layer method for recovery of injured Salmonella Typhimurium. Int. J. Food Microbiol. 54:127–132. https://doi.org/10.1016/S0168-1605(99)00174-9 doi: 10.1016/S0168-1605(99)00174-9
    [14] Kang DH, Fung DYC (1999) Thin agar layer method for recovery of heat-injured Listeria monocytogenes. J Food Protect 62: 1346–1349. https://doi.org/10.4315/0362-028X-62.11.1346 doi: 10.4315/0362-028X-62.11.1346
    [15] Wu VCH, Fung DYC (2001) Evaluation of thin agar layer method for recovery of heat-injured foodborne pathogens. J Food Sci 66: 580–583. https://doi.org/10.1111/j.1365-2621.2001.tb04605.x doi: 10.1111/j.1365-2621.2001.tb04605.x
    [16] Wu VCH, Fung DYC, Kang DH (2001a) Evaluation of thin agar layer method for recovery of cold-injured foodborne pathogens. J Rapid Meth Auto Microbiol 9: 11–25.
    [17] Wu VCH, Fung DYC, Kang DH, et al. (2001b) Evaluation of thin agar layer method for recovery of acid-injured foodborne pathogens. J Food Prot 64: 1067–1071.
    [18] Chang VP, Mills EW, Cutter CN (2003) Comparison of recovery methods for freeze-injured Listeria monocytogenes, Salmonella Typhimurium, and Campylobacter coli in cell suspensions and associated with pork surfaces. J Food Prot 66: 798–803. https://doi.org/10.4315/0362-028X-66.5.798 doi: 10.4315/0362-028X-66.5.798
    [19] Duan J, Liu C, Su YC (2006) Evaluation of a double layer agar plate for direct enumeration of Vibrio parahaemolyticus. J Food Sci 71: M77–M82. https://doi.org/10.1111/j.1365-2621.2006.tb08911.x doi: 10.1111/j.1365-2621.2006.tb08911.x
    [20] Nasiłowska J, Sokołowska B, Fonberg-Broczek M (2019) Behavior of Listeria innocua strains under pressure treatment—Inactivation and sublethal injury. Pol J Food Nutr Sci 69: 45–52. https://doi.org/10.31883/pjfns-2019-0004 doi: 10.31883/pjfns-2019-0004
    [21] ISO 16649-2: 2001 (2001) Microbiology of food and animal feeding stuff—Horizontal method for the enumeration of beta-glucuronidase-positive Escherichia coli - Part 2: Colony-count technique at 44 degrees C using 5-Bromo-4-chloro-3-indolyl beta-D-glucuronide.
    [22] EN ISO 11290-2: 2000/A1 (2000) Microbiology of food and animal feeding stuffs—Horizontal method for the detection and enumeration of Listeria monocytogenes - Part 2: Enumeration method.
    [23] Pokhrel PR, Toniazzo T, Boulet CA, et al. (2019) Inactivation of Listeria innocua and Escherichia coli in carrot juice by combining high-pressure processing, nisin, and mild thermal treatments. Innovative Food Sci Emerging Technol 54: 93–102. https://doi.org/10.1016/j.ifset.2019.03.007 doi: 10.1016/j.ifset.2019.03.007
    [24] Pokhrel PR, Boulet C, Yildiz S, et al. (2022) Effect of high hydrostatic pressure on microbial inactivation and quality changes in carrot-orange juice blends at varying pH. LWT 159: 113219. https://doi.org/10.1016/j.lwt.2022.113219 doi: 10.1016/j.lwt.2022.113219
    [25] Patterson MF, McKay AM, Connolly M, et al. (2012) The effect of high hydrostatic pressure on carrot juice's microbiological quality and safety during refrigerated storage. Food Microbiol 30: 205–212. https://doi.org/10.1016/j.fm.2011.09.013 doi: 10.1016/j.fm.2011.09.013
    [26] Van Opstal I, Vanmuysen SC, Wuytack EY, et al. (2005) Inactivation of Escherichia coli by high hydrostatic pressure at different temperatures in buffer and carrot juice. Int J Food Microbiol 98: 179–91. https://doi.org/10.1016/j.ijfoodmicro.2004.05.022 doi: 10.1016/j.ijfoodmicro.2004.05.022
    [27] Pilavtepe-Çelik, Buzrul, Alpas H, et al. (2009) Development of a new mathematical model for inactivation of Escherichia coli O157:H7 and Staphylococcus aureus by high hydrostatic pressure in carrot juice and peptone water. J Food Eng 90: 388–394. https://doi.org/10.1016/j.jfoodeng.2008.06.043 doi: 10.1016/j.jfoodeng.2008.06.043
    [28] Sokołowska B, Skąpska S, Niezgoda, et al. (2014) Inactivation and sublethal injury of Escherichia coli and Listeria innocua by high hydrostatic pressure in model suspensions and beetroot juice. High-Pressure Res 34: 147–155. https://doi.org/10.1080/08957959.2013.877458 doi: 10.1080/08957959.2013.877458
    [29] Jofré A, Aymerich T, Bover-Cid S, et al. (2010) Inactivation and recovery of Listeria monocytogenes, Salmonella enterica and Staphylococcus aureus after high hydrostatic treatments up to 900 MPa. Int Microbiol 13: 105–112.
    [30] United States Department of Agriculture (USDA) (2012) High-pressure processing (HPP) and inspection program personnel (IPP) verification responsibilities FSIS Directive 6120.1.
    [31] Jordan SL, Pascual C, Bracey E, et al. (2001) Inactivation and injury of pressure-resistant strains of Escherichia coli O157 and Listeria monocytogenes in fruit juices. J Appl Microbiol 91: 463–469. https://doi.org/10.1046/j.1365-2672.2001.01402.x doi: 10.1046/j.1365-2672.2001.01402.x
    [32] Buzrul S, Alpas H, Largeteau A, et al. (2008) Inactivation of Escherichia coli and Listeria innocua in kiwifruit and pineapple juices by high hydrostatic pressure. Int J Food Microbiol 124: 275–278. https://doi.org/10.1016/j.ijfoodmicro.2008.03.015 doi: 10.1016/j.ijfoodmicro.2008.03.015
    [33] Quiroz-González B, Rodríguez-Martínez V, García-Mateos MR, et al. (2018) High hydrostatic pressure inactivation and recovery study of Listeria innocua and Saccharomyces cerevisiae in pitaya (Stenocereus pruinosus) juice. Innovative Food Sci Emerging Technol 50: 169–173. https://doi.org/10.1016/j.ifset.2018.10.003 doi: 10.1016/j.ifset.2018.10.003
    [34] Szwajgier D, Baranowska-Wójcik E, Dosnowska B, et al. (2021) High-pressure processing at increased temperatures provides enhanced removal of indigenous microbial contamination in beet/carrot juice without damaging the bioactive components. Int J Food Sci Technol 57: 276–289. https://doi.org/10.1111/ijfs.15416 doi: 10.1111/ijfs.15416
    [35] Linton M, McClements JMJ, Patterson MF (2001) Inactivation of pathogenic Escherichia coli in skimmed milk using high hydrostatic pressure. Innovative Food Sci Emerging Technol 2: 99–104. https://doi.org/10.1016/S1466-8564(01)00033-9 doi: 10.1016/S1466-8564(01)00033-9
    [36] Bayindirli A, Alpas H, Bozoglu F, et al. (2006) Efficiency of high-pressure treatment on inactivation of pathogenic microorganisms and enzymes in apple, orange, apricot, and sour cherry juices. Food Control 17: 52–58. https://doi.org/10.1016/j.foodcont.2004.09.002 doi: 10.1016/j.foodcont.2004.09.002
    [37] Hajmeer MN, Fung DYC, Marsden JL, et al. (2001) Effects of preparation method, age, and plating technique of thin agar layer media on recovery of Escherichia coli O157:H7 injured by sodium chloride. J Microbiol Meth 47: 249–253. https://doi.org/10.1016/S0167-7012(01)00304-9 doi: 10.1016/S0167-7012(01)00304-9
    [38] Qiu X, Wu VCH (2007) Evaluation of Escherichia coli O157:H7, Listeria monocytogenes, Salmonella Typhimurium, and Staphylococcus aureus in ground beef with cranberry concentrate by Thin Agar Layer Method. J Rapid Meth Auto Microbiol 15: 280–292. https://doi.org/10.1111/j.1745-4581.2007.00098.x doi: 10.1111/j.1745-4581.2007.00098.x
    [39] Lavieri N, Sebranek JG, Cordray JC, et al. (2014) Evaluation of the Thin Agar Layer method for the recovery of pressure-injured and heat-injured Listeria monocytogenes. J Food Prot 77: 828–831. https://doi.org/10.4315/0362-028X.JFP-13-374 doi: 10.4315/0362-028X.JFP-13-374
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