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Citation: Vieira, M.R.; Simões, S.; Carrera-Sánchez, C.; Raymundo, A. Development of a Clean Label Mayonnaise Using Fruit Flour. Foods 2023,12, 2111. https://doi.org/ 10.3390/foods12112111 Academic Editors: Yuyue Qin, Guiguang Cheng and Zhi-Hong Zhang Received: 19 April 2023 Revised: 9 May 2023 Accepted: 16 May 2023 Published: 24 May 2023 Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). foods Article Development of a Clean Label Mayonnaise Using Fruit Flour Maria Rocha Vieira 1, Sara Simões 1, Cecilio Carrera-Sánchez 2and Anabela Raymundo 1,* 1LEAF—Linking Landscape, Environment, Agriculture and Food Research Center, Associated Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisbon, Portugal; [email protected] (M.R.V.); [email protected] (S.S.) 2Departamento de Ingeniería Química, Escuela Politécnica Superior, Universidad de Sevilla, Calle Virgen de África, 7, 41011 Sevilla, Spain; [email protected] *Correspondence: [email protected] Abstract: Over the past few years, clean label food has been growing, meaning that consumers are searching for shorter and simpler ingredient lists composed of familiar and natural ingredients. The objective of the present work was to develop a vegan clean label mayonnaise, replacing the additives with fruit flour obtained from fruit reduced commercial value. The mayonnaises were prepared by replacing the egg yolk with 1.5% (w/w) lupin and faba proteins, while fruit flour (apple, nectarine, pear, and peach flour) was incorporated to substitute sugar, preservatives, and colorants. Texture profile analysis and rheology—small amplitude oscillatory measurements were performed to evaluate the impact of the fruit flour on mechanical properties. The mayonnaise antioxidant activity was also analyzed in terms of color, pH, microbiology, and stability measurements. The results showed that mayonnaises produced with fruit flour had better structure parameters in terms of viscosity, and texture, but also improved pH and antioxidant activity (p< 0.05) compared to the standard mayonnaise (mayonnaise without fruit flour). The incorporation of this ingredient into mayonnaise increases the antioxidant potential, though it is in lower concentrations compared to the fruit flours that compose them. Nectarine mayonnaise showed the most promising results in terms of texture and antioxidant capacity (11.30 mg equivalent of gallic acid/100 g). Keywords: mayonnaise; clean label; food by-products; nectarine flour; antioxidant capacity 1. Introduction Currently, consumers are looking for more natural, healthy, and sustainable processed foods. Due to this demand, producers focus on reformulating traditional products with ingredients that meet consumers’ demands. Two trends appeared to support consumers’ new desires, which are plant-based and clean label products. According to Park & Kim (2021) [ 1 ], the market for clean label ingredient foods is expected to develop significantly, reaching nearly 47.50 billion dollars by 2023, with a compound annual growth rate of 6.8% throughout the forecast period. However, there is no legal definition regarding this subject, leading to the creation of different definitions [ 2 ]. For example, the Institute of Food Technologists suggests that a clean label product is made with as few ingredients as possible and contains ingredients that customers understand and consider to be healthy [ 3 ]. As a result, “free from additives,” “minimal processing,” and “short ingredient listing” are essential requirements for food to be given a clean label [4]. Mayonnaise is an oil-in-water (o/w) emulsion that traditionally contains 65–80% fat , providing the typical texture, appearance, and shelf-life of this product. Due to its mouthfeel and particular flavor, it is consumed as a traditional seasoning [ 5 ]. It is probably one of the most widely used sauces worldwide, as more than 6.5 million people reported consuming it more than once a week in the UK in 2018, as well as 4.5 million in France, and 3.4 million in Spain [ 6 ]. Mayonnaise is usually composed of an emulsifier (egg lecithin), vegetable Foods 2023,12, 2111. https://doi.org/10.3390/foods12112111 https://www.mdpi.com/journal/foods
Foods 2023,12, 2111 2 of 19 oil, acid components (vinegar, citric acid, and maleic acid), texture enhancers, flavoring ingredients, and stabilizers [5]. Although egg yolk is well-known for its emulsifying properties, there are some inconveniences with using this animal source. Hen’s egg is a common food allergen but is also a source of possible contamination with Salmonella sp. [ 7 ]. Moreover, it has unfavorable high cholesterol contents, which can lead to health problems [ 8 , 9 ]. Alongside this, there has been an exponential increase in people turning vegan, i.e., completely eliminating animal products from their diet and consumption habits, with the number of individuals identifying themselves as vegan rising 600% in the US between 2014 and 2017 and quadrupling in the UK between 2014 and 2018 [ 6 ]. For that reason, the industry has developed alternatives using vegetable protein. Egg is commonly substituted into foods such as mayonnaise, meringue, and pasta, using ingredients derived from legumes [ 6 ]. There are numerous vegan egg substitutes on the market, which are made from diverse sources such as soy or pea protein isolates, potato starch, or chickpea flour [ 6 ]. Replacing egg yolk with vegetable protein provides several advantages, such as increasing microbiological stability, lowering manufacturing costs since there is no need for pasteurizing eggs, and reducing cholesterol content [10]. According to FAO, per year, around 1.3 billion tons of food are wasted globally, representing one-third of the total food sector production [ 11 ]. The food category that contributes most to this cause is fruits and vegetables, representing about 0.5 billion tons of waste due to their perishable nature but also due to not meeting aesthetic criteria such as size, shape, or color [ 12 , 13 ]. Hence, food manufacturers need to find a way of incorporating fruit by-products again into the food chain, contributing to a reduction in generated waste and to a more circular economy [9,12]. Fruit flour is regarded as a clean label ingredient, which can be applied as a food additive in food products [ 12 ]. These flours can be produced from fruits without commercial value and by-products of the manufacture of fruit products. Thus, processing them into flour allows its valorization and incorporation into the chain in the logic of circular economy [ 14 ]. This ingredient provides health benefits due to its high fiber and antioxidant content. Through its use, it is possible to incorporate bioactive compounds, such as carotenoids and phenolic acids in mayonnaises, increasing the stability and shelf-life of the final products, while enhancing the product’s color and increasing potential health benefits [ 13 ]. A potential texture-enhancing capacity is expected due to its dietary fiber content, which impacts the water-holding and retention capacity, oil-holding capacity, foam capacity, and stability [ 13 ]. Adding fruit flour to liquid or semi-solid food products will improve their viscosity, even when added in small amounts [ 13 ]. Along with these advantages, fruit flours have important technological functionalities such as using them as thickeners, gelling agents, fillers, and water retainer agents, but also in the production of edible films [13]. The present work was integrated into the cLabel+ project and developed in partnership with the company Casa Mendes Gonçalves. The main objective was the development of a clean label vegan mayonnaise, characterized by the absence of additives, such as preservatives, sugars, and colorants, using a clean label ingredient to substitute them. To achieve this, vegetable proteins, proposed by Mendes Gonçalves S.A, were used to replace the egg yolk in mayonnaise (work previously developed [ 15 ]) and national fruit flours, obtained from the circular economy, were incorporated as a clean label ingredient. A standard commercial egg yolk mayonnaise produced by the company and a previously developed vegan mayonnaise [15] were considered as targets. 2. Materials and Methods 2.1. Materials All ingredients used are commercially available and were provided by the suppliers of the company, including, refined sunflower oil, potassium sorbate >98% (w/w) purity, fine granulated sugar, refined salt, lemon juice (concentrated by a factor of 7), rosemary
Foods 2023,12, 2111 3 of 19 extract, 8–10% (v/v) acetic acid alcohol vinegar, β -carotene colorant, and vegetable proteins (lupin protein isolate with 87–95% protein content, and faba bean protein concentrate with 60% protein content). To produce four different fruit mayonnaises, apple, pear, nectarine, and peach flours were produced by AgroGrIN Tech (presented in Table 1). Concerning the production of Mendes Gonçalves commercial mayonnaise (MG), pasteurized egg yolk and modified starch were used. Table 1. Nutritional composition of apple, pear, nectarine, and peach flours obtained from the technical data sheets of the supplier, AgroGrIN Tech. Flour pH Minerals (g) Protein (g) Fat (g) Carbohydrates (g) Simple Sugars (g) Fiber (g) Apple 4.00 1.88 2.60 0.96 80.78 54.50 10.35 Nectarine 4.35 3.51 5.60 0.60 79.83 44.30 7.22 Pear 3.50–4.00 1.66 2.50 1.00 72.66 26.90 17.80 Peach 5.47 2.71 4.70 0.40 80.21 38.30 8.31 All fruit mayonnaises were later compared to standard mayonnaise (mayonnaise without fruit flour) and with MG produced on a laboratory scale, to have the same emulsifying scale. The composition of the three different types of mayonnaises is shown in Table 2. Table 2. Composition of Mendes Gonçalves commercial mayonnaise, standard mayonnaise, and mayonnaise with fruit flour. Ingredients Mendes Gonçalves Commercial Mayonnaise Standard Mayonnaise Fruit Mayonnaise Water √ √ √ Sunflower oil √ √ √ Refined salt √ √ √ Rosemary Extract √ √ √ Concentrated Lemon Juice √ √ √ Alcohol Vinegar √ √ √ Egg yolk √x x Modified starch √x x Fine granulated sugar √ √ x Potassium sorbate √ √ x β-carotene √ √ x Vegetable protein x √ √ Fruit flour x x √ 2.2. Mayonnaise Preparation For the development of the present work, standard mayonnaise was produced based on Cabrita et al.’s, (2022) [ 15 ] formulation, in which the vegetable protein system is composed of 50% lupin and 50% faba protein. Fruit flour was added to directly replace sugar, potassium sorbate, and β -carotene. Before producing both mayonnaises, proteins were hydrated in demineralized water for 30 min under magnetic stirring at high speed. For standard mayonnaise, this step consisted of mixing the water with colorant, and, gently, small portions of protein were added at a time, whereas in the fruit mayonnaises, the fruit flour was mixed with the proteins. A lab-scale mixer, Ultra-Turrax T-25 (IKA-Werke GmbH & Co. KG, Staufen im Breisgau, Germany) homogenizer, was used to mix all the ingredients together in a three-step process in order to keep a closely packed emulsion [ 16 ]: (i) powders were added all at once under the agitation of 6000 rpm until achieving a homogenous mixture; (ii) the speed was increased until 9000 rpm and slowly the sunflower oil (65% w/w) and rosemary extract (also a clean label ingredient) were added together to the mixture with stirring for 6 min until homogeneous; (iii) the acids (vinegar and lemon juice concentrate) were added simultaneously at 11,000 rpm for 2 min. Mayonnaise samples were stored in
Foods 2023,12, 2111 4 of 19 cylindrical glass jars (100 mL with 66 mm diameter, 56 mm height) and kept in the fridge at 4◦C for 24 h to achieve equilibrium. 2.3. pH Determination The sample pH was measured at room temperature using a probe for solid samples pH-Meter BASIC 20 (Crison Instruments, S.A., Alella, Spain) with an electrode previously calibrated that was inserted into the center of the sample, where three replicates of each sample were taken. 2.4. Color Measurements Instrumental color evaluation was performed using a Chroma Meter CR-400 (Konica Minolta Business Technologies, Inc., Tokyo, Japan), based on the CIELAB color coordinate system (L*, a*, b*). For each sample, the color was evaluated at six different points, following equipment calibration against the white plate. The total color change ( ∆ E) was calculated for each sample using the following formula [17]: ∆E∗=qL∗ i−L∗ 02+a∗ i−a∗ 02+b∗ i−b∗ 02(1) where the abbreviation of color parameters represents 0-standard mayonnaise and iremaining mayonnaises. When the ∆ E* value is superior to 5 units, it indicates that the human eye is capable of perceiving differences between the colors of 2 samples [18]. 2.5. Rheological Measurements The rheological characterization of mayonnaise was performed in a controlled-stress rheometer, Haake MARS III (Thermo Fisher Scientific, Waltham, MA, USA), equipped with a UTC Peltier. A CC35_2Ti cone-and-plate sensor system (35 mm diameter, 2 ◦ ) was used to perform small amplitude oscillatory shear measurements (SAOS) in a frequency range of 0.01–100 Hz, within the linear viscoelastic region that was previously assessed. Thus, it was possible to obtain the mechanical spectrum, such as the storage modulus (G 0 ) and loss modulus (G00) as a function of frequency. G 0 at 1 Hz and the loss tangent were also collected. Plateau Modulus (G 0N ) is achieved by tan δ (tan δ = G 00 /G 0 ), giving information about the contribution of the protein films entanglements that coat the droplets to the structure of the system. This corresponds to the value of G 0 obtained when tan δ reaches the minimum in the frequency range studied [ 19 ]. In order to obtain flow curves, a shear rate of 10 −8 to 500 s −1 was applied, using a serrated parallel plate system PP20 (20 mm of diameter, rough surface). These types of plates were used so that the sample did not slip [ 20 ]. Since frequency and viscosity tests are extended tests, paraffin oil was placed around the plate/cone and plate to avoid evaporation of the sample during measurements. Each rheological test was conducted at a controlled temperature of 20 ± 0.5 ◦ C in a temperature-controlled room with previous stabilization of the samples for half an hour. The Origin 2019 software (OriginLab, Northampton, MA, USA) was later used to align the viscosity versus shear rate curve to the Williamson model, as Álvarez-Castillo et al. (2021) [21] used. η=η0 1+k×. γn(2) where η0 is the zero shear rate limiting viscosity at low shear rates (Pa.s); kis the consistency coefficient (Pa.s), and nis a dimensionless shear-thinning index, which is the slope of the power-law shear-thinning region, with n< 1 for shear-thinning fluids. 2.6. Textural Profile Analysis The Texture Profile Analysis (TPA) was carried out on a TAX plus texturometer (Stable Micro Systems, UK) with a load cell of 5 kg and a 19 mm diameter Perpex cylindrical probe. This test was performed at 20 ◦ C in a temperature-controlled room with previous
Foods 2023,12, 2111 5 of 19 stabilization of the samples for one hour before each replica. The test proceeded with the penetration through the sample for 15 mm at a speed of 1 mm/s, to subsequently return to its original position, where the time between two bites was 5 s. Mayonnaise samples were evaluated on full cylindrical glass jars (100 mL with 66 mm diameter, 56 mm height). The test was run in five replicates, obtaining, in the end, a force versus time texturograms, where firmness and adhesiveness were collected. 2.7. Emulsion Structure and Stability 2.7.1. Droplet Size Distribution (DSD) The mean droplet diameter of the emulsions was obtained using a laser diffraction instrument—Mastersizer 2000; Malvern Instruments, UK. Samples were previously dispersed in distilled water and stirred before determination to ensure homogeneity. Predispersed samples were added until 6 to 20% of the obscuration range was achieved. The refractive index used was 1.46, corresponding to sunflower oil [ 22 ]. In order to determine the existence of flocculation on the studied samples, DSD was also obtained in the presence of Sodium Dodecyl Sulphate (SDS) (ITW reagents), a surfactant known to disrupt floccules formed in emulsions [ 23 ]. The presence of flocculation in the systems studied is determined by the different profiles obtained either in the presence or absence of SDS [24]. Sauter mean diameter (d 3,2 ) expresses the mean diameter for most of the droplets and can be obtained through the following expression: d3,2 =∑nid3 i ∑nid2 i (3) where niis the number of droplets with a diameter di. The volumetric diameter (d 4,3 ) is associated with modifications in particle size as the result of several destabilizing mechanisms, being more susceptible to fat droplet aggregation [25], and may be obtained through the equation: d4,3 =∑nid4 i ∑nid3 i (4) All the DSD measurements were carried out at room temperature, at least in triplicate, on fresh samples (day 1) and up to 30 days after emulsion preparation. From these measurements, the respective values of the diameters d 4,3 and d 3,2 were obtained with and without SDS. 2.7.2. Backscattering Emulsion stability was assessed using a vertical scan analyzer Turbiscan MA 2000 (Formulaction, France), through backscattering measurements of a pulsed light source (λ= 850 nm) as a function of the height of the cylindrical glass tube containing the sample [25] . The mayonnaises were disposed in 5 mL glass jars (radius 27.5 mm, height 70 mm) up to 40 mm height, stored at 5 ◦ C, and measured at room temperature for 30 days after emulsion formation. Then, the profiles of backscattering of light from emulsions ( ∆ BS/100%) versus the height were plotted as a function of storage time [22]. 2.7.3. Visible Light Microscopy The analog microstructure of mayonnaise was analyzed with a Leica-SP2 (Germany) confocal optical microscope equipped with a 4 MP digital camera. A total of 10 µ L of the prepared samples was placed directly on top of a transparent slide (76 × 26 mm) gently coated by coverslips (18 × 18 mm). To avoid drying, samples were observed directly, obtaining images using an objective of 100 magnifications (100×).
Foods 2023,12, 2111 6 of 19 2.8. Antioxidant Potential 2.8.1. DPPH Method The DPPH technique was performed following the method described by Bunzel & Schendel (2017) [26], where a solvent extraction was conducted primarily. In this case, 5 g of sample were added to 15 mL of methanol (Labchem, Zelienople, PA, USA) and shacked for 1 h with Reax 2 w/oadapter (Heidolph, Schwabach, Germany) with a rotation speed range of 3 rpm. After that, for 10 min at 4 ◦ C, and for a speed of 4000 rpm a centrifuge was performed on a HERMLE Z 383 K (Wehingen, Germany). A total of 100 µL of the sample’s supernatant was added to 2.4 mL of a 103.5 µM of methanol solution of DPPH (Alfa Aesar, Ward Hill, MA, USA) and mixed with a Vortex. This procedure was made in triplicate and the blank samples were only prepared with methanol and sample. After 1 h in the dark, at room temperature, the absorbance of the samples was read in a Cary Series UV-Vis spectrophotometer (Agilent Technologies, Santa Clara, CA, USA) at 517 nm. A standard curve using standard solutions of gallic acid (Sigma Aldrich, St. Louis, MO, USA) with methanol was performed in the range of concentrations between 0 and 0.1 mg/mL. 2.8.2. FRAP Method A fat extraction, identical to the one performed in the DPPH method, was realized before carrying out the FRAP assay. The method described by Benzie & Strain (1996) [ 27 ] was followed with slight modifications. The FRAP reagent was prepared by mixing 100 mL of 300 mM acetate buffer (pH = 3.6), 10 mL of 20 mM FeCl 3· 6H 2 O, and 10 mL of 10 mM 2,4,6-tripyridyl-s-triazine (TPTZ) solution in a 10:1:1 ratio. The TPTZ solution was obtained by mixing 10 mM TPTZ (Alfa Aesar) in 40 mM HCl (HoneyWell, Charlotte, NC, USA). In test tubes, 90 µL of sample supernatant with 270 µL of deionized water and 2.7 mL of FRAP solution (except on the control samples) were added. Each sample was run in triplicate. For 30 min, the test tubes were left in a water bath at 37 ◦ C to react, and then the absorbance was read in a Cary Series UV-Vis spectrophotometer (Agilent Technologies, Santa Clara, CA, USA), at 595 nm. To determine the FRAP value of each sample, a subtraction between FRAP reagent with the sample and an initial blank reading with just deionized water and sample was performed. The results were compared with a gallic acid calibration curve, with a concentration between 0 and 0.25 mg/mL. 2.9. Total Phenolic Compounds Before starting the Total Phenolic Compounds (TPC) determination, a solvent extraction identical to the one performed in the DPPH method was carried out. The method used was performed following the one stated by Bunzel & Schendel (2017) [ 26 ], and conveniently modified. All mayonnaise and fruit flour extracts were analyzed photometrically by virtue of the Folin–Ciocalteau reagent. In test tubes, 100 µL of sample supernatant along with 450 µL of Mili-Q water and 50 µL of Folin’s reagent (PanReac AppliChem, Darmstadt, Germany) were mixed, followed by a mixture in the vortex. After 3 min of reaction, 400 µL of Na 2 CO 3 (7.5% m/vHoneyWell) solution was added. The mixture was kept out of sunlight for 2 h at room temperature. TPC was read in a Cary Series UV-Vis spectrophotometer (Agilent Technologies, Santa Clara, CA, USA) at 760 nm. The analyses were performed in triplicate and the results were expressed as gallic acid equivalent (mg equivalent of gallic acid/100 g of product). The quantification was carried out by performing a standard curve using standard solutions of gallic acid in the range of concentrations between 0 and 0.5 mg/mL. 2.10. Microbiological Analysis To determine the different types of microorganisms that might be present in mayonnaise samples, different microbiological analyses were performed and are synthesized in Table 3.
Foods 2023,12, 2111 7 of 19 Table 3. Microbiological analysis made on mayonnaise samples. Microbiological Analysis Method Reference Coagulase-positive Staphylococcus count Colony-count technique using Baird-Parker agar medium ISO 6888-1:1999 Count of mesophiles at 30 ◦C Colony count at 30 ◦C by the pour plate technique ISO 4833-1:2013 Count of yeasts and molds Colony count technique in products with water activity greater than 0.95 ISO 21527:2008 Count of lactic bacteria Colony-count technique at 30 ◦C ISO 15214:1998 Count of Escherichia coli Detection and most probable number technique using 5-bromo-4-chloro-3-indolyl-ß-D-glucuronide ISO 16649-3:2015 2.11. Statistical Data The results obtained were submitted to statistical analysis for verifying the occurrence of significant differences between samples. To conduct the analysis of variance (ANOVA), a statistical analysis program, GraphPad Prism Software (version 5.0) was used. In this program, the Tukey test was used to compare more than 2 samples, with a 95% degree of confidence (p= 0.05). Differences were considered significant when pvalues were inferior to 0.05. 3. Results and Discussion 3.1. Addition of Fruit Flour in the Mayonnaise The work carried out promoted the introduction of fruit flour (apple, nectarine, pear, and peach) to replace sugar, potassium sorbate, and β -carotene colorant. Hence, 0.63% of fruit flour was introduced, which represents the amount that once existed of the previously mentioned ingredients. These mayonnaises (Figure 1) were later compared with standard mayonnaise and with MG made on a laboratory scale. Foods 2023, 12, x FOR PEER REVIEW 7 of 19 standard curve using standard solutions of gallic acid in the range of concentrations between 0 and 0.5 mg/mL. 2.10. Microbiological Analysis To determine the different types of microorganisms that might be present in mayonnaise samples, different microbiological analyses were performed and are synthesized in Table 3. Table 3. Microbiological analysis made on mayonnaise samples. Microbiological Analysis Method Reference Coagulase-positive Staphylococcus count Colony-count technique using Baird-Parker agar medium ISO 6888-1:1999 Count of mesophiles at 30 °C Colony count at 30 °C by the pour plate technique ISO 4833-1:2013 Count of yeasts and molds Colony count technique in products with water activity greater than 0.95 ISO 21527:2008 Count of lactic bacteria Colony-count technique at 30 °C ISO 15214:1998 Count of Escherichia coli Detection and most probable number technique using 5- bromo-4-chloro-3-indolyl-ß-D-glucuronide ISO 16649-3:2015 2.11. Statistical Data The results obtained were submitted to statistical analysis for verifying the occurrence of significant differences between samples. To conduct the analysis of variance (ANOVA), a statistical analysis program, GraphPad Prism Software (version 5.0) was used. In this program, the Tukey test was used to compare more than 2 samples, with a 95% degree of confidence (p = 0.05). Differences were considered significant when p values were inferior to 0.05. 3. Results and Discussion 3.1. Addition of Fruit Flour in the Mayonnaise The work carried out promoted the introduction of fruit flour (apple, nectarine, pear, and peach) to replace sugar, potassium sorbate, and β-carotene colorant. Hence, 0.63% of fruit flour was introduced, which represents the amount that once existed of the previously mentioned ingredients. These mayonnaises (Figure 1) were later compared with standard mayonnaise and with MG made on a laboratory scale. (a) (b) (c) (d) (e) (f) Figure 1. ( a ) Standard mayonnaise; ( b ) Mendes Gonçalves mayonnaise (MG); ( c ) Apple mayonnaise (APPM); ( d ) Nectarine mayonnaise (NCTM); ( e ) Pear mayonnaise (PRM); ( f ) Peach mayonnaise (PCHM). 3.1.1. pH and Colour Evaluation The results obtained from ANOVA show that the addition of fruit flour had a significant effect on the pH value of mayonnaise (p< 0.05), reducing its value (Table 4). The pH of the mayonnaise has an impact on the structure and stability of the emulsion [ 28 ]. Resulting from the addition of fruit flour, all mayonnaises, especially APPM and PCHM mayonnaises,
Foods 2023,12, 2111 8 of 19 were similar to MG, which was not achieved without this incorporation. By decreasing the pH value, fruit flour permits an extension of the product’s shelf-life. This decrement can be explained by the high amount of pectin content that these flours have. Pectin is a carboxylic group and is acidic. Moreover, this component is also a D-galacturonic polymer linked by -1,4 glycosidic bonds which play a role in lowering pH [ 29 ]. Mirazimi et al. (2022) [ 30 ] have also concluded that increasing the percentage of pear flour in yogurts decreases the pH value of the product. Table 4. pH measurements, and the CIELAB colour parameters of standard mayonnaise, Mendes Gonçalves mayonnaise (MG), apple mayonnaise (APPM), nectarine mayonnaise (NCTM), pear mayonnaise (PRM), and peach mayonnaise (PCHM). Mayonnaise Samples pH L*a*b*∆E*∆E* Standard 4.07 ±0.00 c83.38 ±0.43 b−2.37 ±0.06 E12.12 ±0.49 x- 8.28 MG 3.70 ±0.01 a85.80 ±0.64 a0.59 ±0.24 A19.45 ±1.77 w8.33 - APPM 3.69 ±0.02 a81.58 ±0.30 c−1.11 ±0.05 D11.51 ±0.19 x2.29 9.15 NCTM 3.78 ±0.00 b83.28 ±0.14 b−0.81 ±0.07 C9.43 ±0.09 y3.12 10.43 PRM 3.79 ±0.03 b80.18 ±0.14 d−0.26 ±0.07 B11.21 ±0.06 x3.94 10.01 PCHM 3.71 ±0.01 a81.54 ±0.26 c−0.62 ±0.02 C11.29 ±0.30 x2.68 9.28 Samples marked with different letters showed significant differences (p< 0.05, one-way ANOVA) for each parameter. The CIELAB colour parameters, as well as ∆ E* values, are presented in Table 4. As for the L* parameter, lower values indicate that samples have lower luminosity. Thus, it was found that the addition of fruit flour darkens the samples, except for NCTM, which does not have significant differences from the standard one (p> 0.05). The a* parameter reveals a tendency to red for an a+ or green for an a − . The fruit flours kept the mayonnaise in a greenish tone, but decreased its values, bringing them closer to the reddish tone. This may happen due to the high number of carotenoids that these fruit flours impart [ 13 ]. b* parameter reflects the tones of yellow (b+) and blue (b − ). The addition of fruit flour reduced the values of this parameter; nevertheless, they are still in the yellow tones. These values might have been reduced since the majority of the yellowness of mayonnaise comes from egg yolk and oil [ 31 ]. Thus, fruit mayonnaises, by not having egg yolk in their composition, decreased the b* parameter. Worrasinchai et al. (2006) [ 32 ] reported that there was a decrease in the L* value of mayonnaise samples when adding β -glucan as a fat replacer, except for the mayonnaise with a reduction in fat content of 50%. Additionally, they found out that increasing the β -glucan ratio in the mayonnaise formula increased the a* value while decreasing the b* value. Maneerat et al. (2017) [ 33 ], on the other hand, found that after incorporating pectin extracted from banana peels into the mayonnaise formula as a fat replacer, the colour of salad cream became redder, less yellow, and darker, like in the present study. Comparing the total colour difference ( ∆ E*) of standard mayonnaise with the others, only MG is distinguished by the naked eye. The one with the least differences from standard mayonnaise is APPM. On the other hand, all mayonnaises are distinguished by the naked eye when compared to MG, since ∆E* values are greater than 5 [18]. 3.1.2. Rheological Measurements Figure 2shows the evolution of storage (G 0 ) and loss modulus (G 00 ) with frequency obtained for each mayonnaise at 20 ◦C. The shape of the curves indicates a predominantly elastic behavior since all emulsions show an elastic modulus (G 0 ) higher than viscous modulus (G 00 ) for the whole range of frequency. Considering that the two modulus of all samples do not stay apart for more than a decade, they present a weak gel-like behavior. Moreover, all the mechanical spectra present a similar slope and pattern, meaning that all the emulsions studied have similar viscoelastic properties in the experimental range of frequencies. Similar behavior was
Foods 2023,12, 2111 9 of 19 found for vegetable protein-stabilized emulsions by other authors [ 19 , 34 , 35 ]. From Figure 2 it is also possible to observe that PCHM and PRM show the highest viscoelastic modulus values, whereas standard mayonnaise shows the lowest. Foods 2023, 12, x FOR PEER REVIEW 9 of 19 3.1.2. Rheological Measurements Figure 2 shows the evolution of storage (G′) and loss modulus (G″) with frequency obtained for each mayonnaise at 20 °C. Figure 2. Mechanical spectrum of standard mayonnaise, Mendes Gonçalves mayonnaise (MG), and fruit mayonnaises—Apple mayonnaise (APPM), Nectarine mayonnaise (NCTM), Pear mayonnaise (PRM), and Peach mayonnaise (PCHM). The shape of the curves indicates a predominantly elastic behavior since all emulsions show an elastic modulus (G′) higher than viscous modulus (G″) for the whole range of frequency. Considering that the two modulus of all samples do not stay apart for more than a decade, they present a weak gel-like behavior. Moreover, all the mechanical spectra present a similar slope and pattern, meaning that all the emulsions studied have similar viscoelastic properties in the experimental range of frequencies. Similar behavior was found for vegetable protein-stabilized emulsions by other authors [19,34,35]. From Figure 2 it is also possible to observe that PCHM and PRM show the highest viscoelastic modulus values, whereas standard mayonnaise shows the lowest. To complement the analyses of the preceding figure, Table 5 shows the rheological parameters of these mayonnaises. The values of the plateau modulus and G′ at 1 Hz of all samples are congruent with the previous results, that is, samples with a higher degree of structuring (viscous and elastic modulus further) have higher values in these parameters. When observing the values of G′ at 1 Hz, there were no significant differences (p > 0.05) between PCHM and PRM, and they were the most structured. The same happens with MG and standard mayonnaises (p > 0.05) but with the lowest values. It was found that the sample with the greatest plateau modulus, and therefore with the highest degree of structuring, were PRM and PCHM. Thereby, the flours, in general, led to an increase in the plateau module, and since it is related to the stability of emulsions, this ingredient made the mayonnaises more stable. Bozdogan et al. (2022) [36] reported that by adding Pear Pomace Powder (PPP) to quinoa-based gluten-free cakes, the viscoelastic properties of batters increased with the amount of PPP added to the sample, having greater results in comparison with the control sample, which is consistent with the present work. Likewise, Kırbaş et al. (2019) [37] found that apple, carrot, and orange pomace powders have an increasing influence on dough viscoelastic characteristics compared to the control sample. Figure 2. Mechanical spectrum of standard mayonnaise, Mendes Gonçalves mayonnaise (MG), and fruit mayonnaises—Apple mayonnaise (APPM), Nectarine mayonnaise (NCTM), Pear mayonnaise (PRM), and Peach mayonnaise (PCHM). To complement the analyses of the preceding figure, Table 5shows the rheological parameters of these mayonnaises. The values of the plateau modulus and G 0 at 1 Hz of all samples are congruent with the previous results, that is, samples with a higher degree of structuring (viscous and elastic modulus further) have higher values in these parameters. When observing the values of G 0 at 1 Hz, there were no significant differences (p> 0.05) between PCHM and PRM, and they were the most structured. The same happens with MG and standard mayonnaises (p> 0.05) but with the lowest values. It was found that the sample with the greatest plateau modulus, and therefore with the highest degree of structuring, were PRM and PCHM. Thereby, the flours, in general, led to an increase in the plateau module, and since it is related to the stability of emulsions, this ingredient made the mayonnaises more stable. Bozdogan et al. (2022) [ 36 ] reported that by adding Pear Pomace Powder (PPP) to quinoa-based gluten-free cakes, the viscoelastic properties of batters increased with the amount of PPP added to the sample, having greater results in comparison with the control sample, which is consistent with the present work. Likewise, Kırba¸s et al. (2019) [37] found that apple, carrot, and orange pomace powders have an increasing influence on dough viscoelastic characteristics compared to the control sample. Figure 3illustrates the flow behavior of mayonnaises, where it is possible to notice that all samples present the behavior of flocculated emulsions since at a low shear rate the samples present a Newtonian behavior characterized by a constant viscosity ( η0 ). Subsequently, with the decrement in velocity, the shear rate increases, with it being possible to observe the shear-thinning region [38]. All samples show limiting viscosity values in the same order of magnitude (Figure 3). The limiting viscosity ( η0 ) values are very close for the different flours, not showing a direct relationship with the linear viscoelastic parameters: the samples with higher plateau modulus values did not present a higher degree of sample structuring. Hence, the sample with higher apparent viscosity values is MG, which presents significant differences compared to the remaining samples (p< 0.05). Standard mayonnaise remains the one with the lowest values.
Foods 2023,12, 2111 16 of 19 Table 9. Quantification of the different microorganisms from the microbiological analysis made on Standard and Nectarine mayonnaises (NCTM). Sample Mesophiles Molds and Yeasts E. coli Staphylococcus aureus Coagulase + Lactic-Acid Bacteria Standard Mayonnaise 8.3 × 10 3 UFC/mL 8.0 × 10 2 UFC/mL <10 UFC/mL <100 UFC/mL <10 UFC/mL Nectarine Mayonnaise 2.9 × 10 2 UFC/mL 1.5 × 10 2 UFC/mL <10 UFC/mL 1.5 ×102UFC/mL <10 UFC/mL After analyzing the obtained results, it is possible to conclude that nectarine flour contributes to reducing the growth of mesophiles compared to the control sample. Nevertheless, according to the guide values presented by Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA), the Portuguese official laboratory for health affairs, both samples present satisfactory results since their values are lower than 10 4 UFC/mL. In order to obtain satisfactory results for the quantification of yeasts and molds, the samples must present values lower than 10 3 UFC/mL, which is in accordance with the findings of Table 9[50] . Both E. coli and lactic acid bacteria results were less than 10 CFU/mL in the two samples, indicating a satisfactory outcome, meaning that their presence has not been detected. Staphylococcus aureus is a pathogenic bacterium that poses a potential health risk to consumers, as many strains produce enterotoxins, causing food poisoning when ingested [ 51 ]. According to INSA, for a food product to have a satisfactory result, its value should be less than 10 CFU/mL. Thus, it is possible to note that both samples presented unsatisfactory results. Even in the presence of potassium sorbate, standard mayonnaise could not control the spread of this bacterium, the values of which could be explained by the absence of good hygiene practices when producing the mayonnaises. The Staphylococcus aureus values were not satisfactory for standard mayonnaise and NCTM was more notorious for the presence of this microorganism in NCTM. However, overall, nectarine flour allowed a reduction in the spread of different types of microorganisms compared to standard mayonnaise that had a traditional preservative (potassium sorbate) in its formulation, which represents a promising result. Bioactive compounds that are present in fruits also have a significant role as antimicrobial agents. In vitro procedures are used to characterize the ability to inhibit a certain microorganism [ 52 ]. Most studies are focused on inhibiting pathogenic microorganisms. Martínez et al. (2019) [ 53 ] studied the antimicrobial activity of olive extract rich in hydroxytyrosol (dilutions using 30–90 µL of extract). In the end, it was possible to observe increasing values of the inhibition radius of an olive extract rich in hydroxytyrosol when exposed to Listeria monocytogenes and Staphylococcus aureus. On the other hand, when in contact with Escherichia coli, it showed a limited effect of inhibition when using a low dilution (90 µL of extract). 4. Conclusions The present work aimed to develop a mayonnaise with nutritional and sensory characteristics like the standard sample but without the use of additives. Fruit flours, especially nectarine flour, showed high potential as food ingredients, not only due to their antioxidant capacity but also thanks to their technological functionalities. Therefore, it is possible to introduce this ingredient into various types of food products, leading to a reduction in food waste. By incorporating different fruit flours, it was possible to study the impact that this clean label ingredient had on the final product, in terms of pH, rheological properties, texture, antioxidant potential, microbiology, and stability. All samples with the addition of fruit flour showed a pH lower than the standard sample, indicating a greater preservation capacity. By using fruit flour in mayonnaise, it was possible to produce mayonnaises with a higher degree of structuring compared to the standard. In addition, the values of firmness and adhesiveness of fruit mayonnaises,
Foods 2023,12, 2111 17 of 19 especially nectarine mayonnaise, were better than the standard sample. Through nutritional analyses, it was determined that all fruit flours have a higher antioxidant potential compared to the additives that are present in the standard sample. However, when fruit flour is added to the mayonnaise, it loses its antioxidant potential due to the complex matrix that mayonnaise presents; nevertheless, its antioxidant potential always remains superior in comparison to the standard sample. Microbiological analyses concluded that nectarine mayonnaise has a promising preservative capacity, acting as a clean label ingredient. However, standard mayonnaise and nectarine mayonnaise showed unsatisfactory results in the quantification of Staphylococcus aureus, indicating that they cannot control Gram-positive bacteria. All samples presented a unimodal droplet size distribution, except MG, which showed a bimodal distribution, leading to a more physically unstable product. In the future, it would be interesting to produce nectarine mayonnaise under pilotscale conditions, and also carry out long-term microbiology studies to understand if it will be possible to replace preservatives with clean label ingredients, such as fruit flour. Author Contributions: Conceptualization, S.S. and A.R.; Data curation, M.R.V. and C.C.-S.; Formal analysis, M.R.V. and C.C.-S.; Funding acquisition, A.R.; Investigation, M.R.V. and C.C.-S.; Methodology, S.S., C.C.-S. and A.R.; Project administration, A.R.; Resources, A.R.; Supervision, S.S. and A.R.; Validation, S.S. and A.R.; Visualization, M.R.V., Writing—original draft, M.R.V., Writing—review & editing, S.S., C.C.-S. and A.R. All authors have read and agreed to the published version of the manuscript. Funding: This work was supported by national funds from PO CI/ANI/46080/2019 cLabel+: “Alimentos inovadores “clean label” naturais, nutritivos e orientados para o consumidor” and from FCT—Fundação para a Ciência e a Tecnologia, I.P., under the project UIDB/04129/2020 of LEAF- Linking Landscape, Environment, Agriculture and Food, Research Unit. Data Availability Statement: The data presented in this study are available on request from the corresponding author. Acknowledgments: The authors would like to acknowledge Diogo Figueira from Casa Mendes Gonçalves, and Ana Carla Silva for the microbiological tests. Conflicts of Interest: The authors declare no conflict of interest. References 1. Park, S.; Kim, Y.R. Clean Label Starch: Production, Physicochemical Characteristics, and Industrial Applications. Food Sci. Biotechnol. 2021,30, 1–17. [CrossRef] [PubMed] 2. Asioli, D.; Aschemann-Witzel, J.; Caputo, V.; Vecchio, R.; Annunziata, A.; Næs, T.; Varela, P. Making Sense of the “Clean Label” Trends: A Review of Consumer Food Choice Behavior and Discussion of Industry Implications. Food Res. Int. 2017 ,99, 58–71. [CrossRef] [PubMed] 3. Velissariou, M. What Is Clean Label. Available online: https://www.ift.org/news-and-publications/blog/2018/november/ what-is-clean-label (accessed on 3 June 2022). 4. Maruyama, S.; Streletskaya, N.A.; Lim, J. Clean Label: Why This Ingredient but Not That One? Food Qual. Prefer. 2021 ,87, 104062. [CrossRef] 5. Mirzanajafi-Zanjani, M.; Yousefi, M.; Ehsani, A. Challenges and Approaches for Production of a Healthy and Functional Mayonnaise Sauce. Food Sci. Nutr. 2019,7, 2471–2484. [CrossRef] [PubMed] 6. Saget, S.; Costa, M.; Styles, D.; Williams, M. Does Circular Reuse of Chickpea Cooking Water to Produce Vegan Mayonnaise Reduce Environmental Impact Compared with Egg Mayonnaise? Sustainability 2021,13, 4726. [CrossRef] 7. Armaforte, E.; Hopper, L.; Stevenson, G. Preliminary Investigation on the Effect of Proteins of Different Leguminous Species (Cicer Arietinum, Vicia Faba and Lens Culinarius) on the Texture and Sensory Properties of Egg-Free Mayonnaise. Lwt 2021 ,136, 110341. [CrossRef] 8. Depree, J.A.; Savage, G.P. Physical and Flavour Stability of Mayonnaise. Trends Food Sci. Technol. 2001,12, 157–163. [CrossRef] 9. Ma, Z.; Boye, J.I. Advances in the Design and Production of Reduced-Fat and Reduced-Cholesterol Salad Dressing and Mayonnaise: A Review. Food Bioprocess Technol. 2013,6, 648–670. [CrossRef] 10. Nikzade, V.; Tehrani, M.M.; Saadatmand-Tarzjan, M. Optimization of Low-Cholesterol-Low-Fat Mayonnaise Formulation: Effect of Using Soy Milk and Some Stabilizer by a Mixture Design Approach. Food Hydrocoll. 2012,28, 344–352. [CrossRef] 11. FAO. The State of Food and Agriculture 2019. Moving Forward on Food Loss and Waste Reduction; FAO: Rome, Italy, 2019.
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