alexa Effect of Pork Rind and Soy Protein on Polony Sensory Attributes | OMICS International
ISSN: 2157-7110
Journal of Food Processing & Technology
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Effect of Pork Rind and Soy Protein on Polony Sensory Attributes

Crispen Mapanda1,2, Louwrens C. Hoffman2*, Francois D Mellett2 and Nina Muller3

1Department of Food and Nutrition, Natural Resources Development College, Chelstone, Lusaka, Zambia

2Department of Animal Sciences, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch), South Africa

3Department of Food Science, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch), South Africa

*Corresponding Author:
Louwrens C. Hoffman
Department of Animal Sciences
Stellenbosch University, Private Bag X1
Matieland 7602, (Stellenbosch), South Africa
Tel: +27 21 808 4747
E-mail: [email protected]

Received date: November 18, 2014; Accepted date: January 08, 2015; Published date: January 15, 2015

Citation: Mapanda C, Hoffman LC, Mellett FD, Muller N (2015) Effect of Pork Rind and Soy Protein on Polony Sensory Attributes. J Food Process Technol 6:417. doi: 10.4172/2157-7110.1000417

Copyright: © 2015 Mapanda C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Food Processing & Technology

Abstract

This study determined whether commercially acceptable polony could be manufactured with varying quantities of chicken mechanically recovered meat (MRM), soy flour (S) and pork rind (R). The experimental design used was a two-factor, three-level factorial design, with various soy levels (0%, 4%, 8%) and pork rind (0%, 8%, 16%) resulting in nine treatments (R0S0, R0S4, R0S8, R8S0, R8S4, R8S8, R16S0, R16S4 and R16S8). Five treatment samples, R0S0, R0S4, R0S8, R8S0 and R8S4, which were indicated by the trained panel to have high market potential, were used to determine the degree of liking by consumers. Consumers liked the flavour and texture of treatments R0S0 and R0S4 which were strongly associated with pink colour, firmness and salty taste. Treatments R0S8, R8S0 and R8S4 were preferred less, mainly because they were associated with a perceptible soy flavour, pasty texture and white fat spots. The use of soy flour and pork rind is acceptable at <4% soy and <8% rind.

Keywords

Pork rind; Soy flour; Chicken mechanically recovered meat

Introduction

The replacement of traditional sausage meat with chicken meat has resulted in products with new flavour and texture profiles. A chicken meat variant that is often used for this purpose is mechanically recovered meat (MRM). Chicken MRM is popular because it is cheap, rich in protein, has a fine texture and is considered healthier than traditional red meat [1]. However, literature indicates that MRM addition should be limited, as the use of high amounts of MRM could affect the quality of products negatively, resulting in products with poor texture, flavour and colour. Furthermore an increased use of MRM may in some countries result in products that are not in line with national food regulations [2]. There is thus a need to ascertain to what extent MRM can be replaced with cheaper proteins.

In South Africa there is limited scientific evidence regarding MRM replacement in sausages, except that which is found in some legal documentation. According to the South African National Standards (SANS 885) of 2003, MRM is pulped material that has been recovered by a process of mechanical separation from bone and consists predominantly of musculature tissue, collagen, marrow and fat.

Meat protein, regardless of its source, is complete, containing all the nine essential amino acids [3]. Furthermore, meat and sausages are also good sources of B complex vitamins, and all minerals except calcium. However, calcium could be slightly higher if MRM is used as protein source. The extra calcium comes from bones crushed together with the meat. In order to provide more affordable, high quality protein products, the strategy which is currently used is the partial replacement of the lean meat with non-meat ingredients. Both extenders and fillers are often used. Extenders such as soy isolate, soy concentrates, and milk powder, whey powder and egg white are used. Fillers are usually carbohydrate materials such as carrageenan and various starch materials [4]. In the current study on replacement of MRM in polony, chicken MRM was replaced with disfavoured soy flour and pork rind (also referred to as pork skin), while tapioca starch (cassava starch) was used as a filler. Polony can be classified as a finely emulsified sausage product. Emulsification involves extensive chopping (commution) of meat to produce small particles. Polony is formed by changing coarse heterogeneous meat into a homogenous meat mass consisting of dispersed water, fat and protein, which during heating is transformed into a gel [5]. Polony is regarded as a fully cooked emulsified sausage product.

Soy protein is commonly used as a replacer of meat due to its essential amino acids, whose composition (though slightly lower in quantity), is no different from that of meat. Soy also functions as a binder of polony gel contributing to water holding capacity and the emulsification of fat [6]. In terms of health benefits, soy lowers blood serum cholesterol [7-9] decreases the risk of coronary heart disease, reduces the incidence of breast and prostate cancer, and inhibits bone resorption, partially due to the presence of isoflavones [10-12].

Pork rind is also often used and is regarded as “meat” in South Africa (SANS, 2003). Pork rind, made of collagen protein, is normally added to meat formulation because it is cheaper, contributes to the total meat, as well as to the binding of water and fat in sausage [13]. The purpose of this study was to determine whether commercially acceptable polony could be manufactured with varying quantities of chicken MRM, soy flour and pork rind to a fixed protein content of 10%, irrespective of fat content and without the addition of extra fat to obtain a Total Meat Equivalent (TME) of 75%. The product quality was measured using various physical, chemical and sensory methodologies.

Materials and Methods

Source and storage of ingredients

Raw materials were obtained from local suppliers; Pork rind and MRM were obtained from Etlin International (Cape Town, Western Cape, South Africa) in a frozen form; tapioca starch and soy 1909 flour from Maccullum and Associates (Somerset West, South Africa). The phosphate salt was supplied by Protea Food Division (Cape Town, South Africa). Spices and sodium chloride used bought from supermarkets in powder form. The erythrosine dye, nitrite and ascorbic acid were all supplied in powder form by Functional Foods (Stellenbosch, South Africa). Prior to utilisation, the chicken MRM and pork rind were both stored at -18°C. The rest of the ingredients were stored at room temperature under dry conditions.

Preparation of pork rind emulsion and MRM

Pork rind is quite tough in texture. To soften it, it was precooked before use. 7.5 kg of rind was cooked in 7.5 kg (litres) of water. The cooking time varied from 4 to 5 h for the three batches of pork rind prepared. After cooking, the pork rind and water mixture was reweighed and water added to make up the 15 kg before chopping the mixture in the bowl cutter until a fine, sticky homogenous mass called rind emulsion was formed. The rind emulsion was then allowed to cool to room temperature prior to weighing and vacuum packaging. The rind emulsion was subsequently stored at -18°C until chemically analysed or used in polony processing. The only preparation done on the frozen MRM involved cutting it into smaller blocks for the purpose of easy fitting into the bowl cutter. The cut blocks of MRM were vacuum sealed and frozen until polony processing commenced.

Proximate analyses of raw materials

Only the protein-rich materials–the pork rind emulsion, soy flour and chicken MRM–were analysed for protein nitrogen, fat, moisture and ash prior to their utilisation in polony formulation. Samples were analysed in triplicate. AOAC official method number 976.05, 920.39, 934.01 and 942.05 were used for protein, fat, moisture and ash determination, respectively [14]. The average values of nitrogen obtained are shown in Table 1.

Ingredients Moisture (%) Fat (%) N (%) Protein (%N x 6.25) Ash (%)
Chicken MRM 67.0 ± 0.26 17.4 ± 0.27 1.9 12.0 ± 0.18 0.9 ± 0.04
Pork rind emulsion* 70.4 ± 0.33 5.7 ± 0.34 2.9 18.1 ± 0.14 0.3 ± 0.05
Soya flour 6.1 ± 0.07 5.6 ± 0.11 7.4 46.3 ± 0.30 7.7 ± 0.21
SE: Standard error.        

Table 1: Mean proximate analysis values (± SE) for the raw materials used in the production of the different treatments of polony.

Polony formulation and processing

All nine treatments were formulated to contain 10% protein (equivalent to 48% LME). According to Table 2 the MRM, soy flour and pork rind all vary in quantities to maintain a 10% protein in the respective treatments. The percentage of water added also varied to maintain a constant product weight, while the percentage of additives was kept constant. Additives added were 8% tapioca starch, 1.8% salt, 0.016% nitrite, 0.3% phosphate, 0.05% ascorbic acid, 0.02% erythrosine dye, 0.1% each for black pepper and cayenne pepper, 0.03% ginger, 0.2% garlic, and 0.05% each for nutmeg and coriander.

Ingredients R0S0 %LME %EE R0S4 %LME %EE R0S8 %LME %EE
MRM 83 48 15.1 67.9 39.2 12.3 52.4 30.3 9.6
Pork rind 0 0 0 0 0 0 0 0 0
Soy1909 0 0 0 4 8.8 0.24 8 17.7 0.5
Water 6.6     17.9     29.1    
Additives 10.7     10.7     10.7    
Totals 100 48 15.1 100 48 12.6 100 48 10.1
                   
Ingredients R8S0 %LME %EE R8S4 %LME %EE R8S8 %LME %EE
MRM 59.2 34 10.7 43.7 25.2 7.9 28.3 16.4 5.2
Pork rind 8 14 0.7 8 14 0.7 8 13.9 0.7
Soy1909 0 0 0 4 8.8 0.2 8 17.7 0.5
Water 22.6     33.9     45.1    
Additives 10.7     10.7     10.7    
Totals 100 48 11.4 100 48 8.8 100 48 6.4
                   
Ingredients R16S0 %LME %EE R16S4 %LME %EE R16S8 %LME %EE
MRM 35.1 20.1 6.3 19.6 11.2 3.5 4.13 2.4 0.7
Pork rind 16 27.9 1.4 16 28 1.4 16 27.9 1.4
Soy1909 0 0 0 4 8.8 0.2 8 17.7 0.5
Water 38.8     50     61.2    
Additives 10.7     10.7     10.7    
Totals 100 48 7.7 100 48 5.1 100 48 2.6

Table 2: Ingredients (%) for the formulation of each treatment with theoreticalvalues for %LME and %EE.

Each polony sample was designed to weigh 1.5 kg. Since 10 polony units were produced for each treatment, the total mixture of polony emulsion (meat and all ingredients added for emulsification in a bowl cutter) was 15 kg. Each percentage indicated in Table 2 was converted into mass (kg or g) by multiplying it by 15 kg. For each treatment the percentage of rind and soy were pre-determined. So only MRM needed calculation as in the example of R0S0 (Rind 0% Soya 0%), shown below:

Calculation of %MRM in R0S0 treatment using protein values of Table 1

%Lean Meat Equivalent (LME)=%protein x 4.8

Each polony to contain 10% protein, giving LME of 48%

LME of MRM=12% x 4.8=57.6%

LME of soy flour=46.4% x 4.8=222.72%

LME of pork rind=36.2% x 4.8=173.76, where 36.2% is 18.1 x 2

Contribution of rind to polony LME=0%/100 x 173.76=0%

Contribution of soy to polony LME=0%/100 x 222.71=0%

Contribution of MRM to polony LME=48%-0% rind–0% soy=48%

Therefore, MRM needed (48%/57.6%) x 100%=83%

For each treatment, a 15 kg emulsion (from which ten polony samples were made) was prepared using a bowl cutter with a 15 kg capacity (Model Manca CM21, Granollers, Barcelona, Spain,). For all the treatments, the order of adding the ingredients was the same, i.e. ingredients were added when the bowl cutter was running at low speed. After that, the speed was increased for the final chopping phase. The MRM was added and chopped first, followed by adding the salt, nitrite, the phosphate and one third of the water. This was followed by adding the rind emulsion. After that, soy flour was added into the bowl cutter and chopped for 2 min before adding spices and another third of the water. The tapioca starch was then added, after which the ascorbic acid and the last third of the water was added. Water at room temperature was used for the first five treatments because both the chicken MRM and rind emulsion were still frozen, while ice was used for the last four treatments after the MRM and rind emulsion had thawed. The end temperatures after chopping the polony emulsion varied between 12°C and 17°C. Each emulsified treatment was tightly stuffed into 90 mm diameter waterproof polyethylene casings and tied off. The polonies were cooked in a steam bath for about 2 h to an internal temperature of 80°C as measured by a thermocouple. The cooked polony was then cooled in clean running water prior to storage at 4°C until chemical, instrumental and sensory analyses were done on the respective samples.

Experimental design

The experimental design used in the study was a two-factor, threelevel factorial design, with soy levels varying between 0%, 4% and 8% and pork rind varying between 0%, 8% and 16%, resulting in nine treatments of polony, each using chicken MRM as a meat protein source (Table 2). The polony with 0% pork rind and 0% soy flour was regarded as the control sample. For each on the nine treatments one large batch of polony emulsion was produced according to the standardized procedure. Each treatment batch was then used to produce 10 individual polony samples, with each of these samples considered a random replication. The whole procedure (for the nine treatments) was repeated three times.

Collagen analysis

One polony sample from each of the nine treatments was selected for analysis of total collagen (hydroxyproline) from an adaptation of the procedures [15,16].

Collagen analysis was conducted in two major stages: preparation of the polony filtrate, followed by the analysis of the filtrate spectrophotometrically. The details of the two stages are as follows: To determine total collagen, 4.0 g of homogenised polony sample from each of the nine treatments was hydrolysed by 30 mL of 6 M HCl in a water bath set and working at 110°C for 13 h. Thereafter, the digested samples were removed from the water bath and cooled. To the cooled samples, 1.5 g of active carbon was added and stirred on a vortex. The carbon was then filtered out (Whatman 4 filter paper) and each sample of filtrate was collected in a 100 mL volumetric flask. From each of the duplicate sample filtrates, 1 mL was pipetted into test tubes, followed by pipetting of 1 mL of 10% KOH into each test tube containing the sample. KOH was used to neutralize the HCl acid. A blank tube containing 2 mL of distilled water was also prepared. Five standard solution test tubes, each containing L-hydroxyproline concentrations of 1.25, 2.5, 3.75, 5.0 and 7.5 μg/mL, were also prepared. Each test tube contained 2 mL of the standard solution. No KOH was added to the five standards and the blank sample. To all the test tubes with samples, including the five standards and blank sample, 1 mL of an oxidant solution containing chloramines-T was added, mixed on a vortex and allowed to stand for 20 min at room temperature. After 20 min, 1 mL of the colour reagent was added to all test tubes, followed by mixing on a vortex. The tests tubes were capped with aluminium foil and placed in a water bath at 60°C for 16 min. After 16 min, the test tubes were removed and the contents were mixed on a vortex, and then allowed to cool to room temperature until a strong aromatic pink liquid with white salt residue formed in the tubes. Test tubes with samples from treatments R0S0 to R8S8 were diluted four times and the rest were diluted five times. The transparent pink liquid in the samples, the blank and standard test tubes was pipetted into micro-cuvettes and read by an UV/visible spectrophotometer (Model CE2021) at a wavelength of 560 nm.

Instrumental colour

A colour-guide 45°/0° colorimeter (Cat. No: 6805; BYK-Gardener, USA) was used to determine the colour of the cooked polony. The apparatus was calibrated before measuring the samples from each treatment. To measure colour, three 2.5 cm thick slices of cooked polony were used after allowing a blooming period of 2 min [17]. Two readings were taken on each slice which was repeated three times for all treatments. The three slices which were used for colour measurement were immediately sealed in plastic bags and stored in a refrigerator (≈10°C) for 10 min before being used for the texture measurement.

Instrumental texture

An Instron Universal Testing Machine (UTM; Model 3344) was used to perform texture profile analysis (TPA) using Bluehill software. To measure texture, 3 x 2 cm diameter cores were cut out of each polony slice from each treatment, and this was replicated three times. The Instron UTM was fitted with a 5 kN load cell and the following settings were applied: crosshead speed of 200 mm/min and a compression of 50%. The speed and compression values were adapted [18-20]. Hardness (N), gumminess (N) and cohesiveness (ratio) were measured.

Descriptive sensory analysis

Preliminary questionnaire development: Before conducting descriptive sensory analysis (DSA), an expert panel consisting of eight persons familiar with polony production, viewed and tasted five of the nine treatments (R0S0, R0S4, R8S0, R8S4 and R16S8) to set up an initial list of sensory descriptors. The following reference standards were also prepared to familiarize the expert panel with basic sensory notes associated with the respective ingredients: pork rind, pork rind emulsion, soy flour, corned beef, pork polony and chicken polony. The attributes agreed on for appearance were pink colour and white spots, for flavour the attributes were garlic, spicy, soy flavour and salty taste, while for texture the attributes were firmness, pastiness and fatty mouth feel.

Descriptive analysis

Nine samples, one from each treatment, were used for training the DSA panel. The same reference standards used by the expert panel were also used in the initial training of the DSA panel. Sample R0S0 served as a control sample, i.e. a fixed point to which all other samples could be compared, thereby allowing panellists to calibrate their sensory perception at the start of each training and testing session.

Six judges were trained in generic descriptive sensory analysis according to Lawless and Heymann [21]. Two training sessions were conducted on two separate days and each session lasted for 2 h. During the training sessions the questionnaire was finalised and the judges agreed on intensity scores for the above-mentioned attributes as perceived in each of the nine treatments.

For the testing phase panellists were seated individually at sensory booths that were light and temperature controlled (21°C) and fitted with the data capturing software programme Compusense five (Compusense, Guelph, Canada). An unstructured line scale, ranging from 0 to 100 was used to analyse each attribute (0=zero intensity; 100=high intensity). A complete randomized block design was used for the testing phase where each judge received nine polony samples in each replicate session, i.e. one sample from each treatment. The sample size was a quarter slice of polony (slice thickness=2.5 cm). The samples were coded with three-digit blinding codes, presented on Petri dishes in a randomized order and served at room temperature (21°C). Distilled water and unsalted fat free biscuits were provided as a palette cleanser between samples. The analysis was replicated four times on four consecutive days using one polony sample per replicate. Judge reproducibility was tested using Panel Check software (Panel Check software, Nofima, Norway).

Consumer preference testing

For consumer acceptability, five treatments (R0S0, R0S4, R0S8, R8S0 and R8S4) were tested using the target consumer (N=90). The latter five samples were indicated by the trained panel as having market potential. The nine-point hedonic scale, ranging from “like extremely” (9) to “dislike extremely” (1), was used for scoring the degree of liking of the overall flavour and texture of the five polony treatments. Each consumer was served one portion of each treatment, which was one eighth of the full slice per treatment. Samples were served on Petri dishes, coded using three-digit blinding codes, and served in a complete random order. Samples were evaluated by consumers at room temperature. Water was used for refreshing their palette during the testing of samples.

Statistical procedures

Analysis of variance (ANOVA) was performed on physical, chemical, sensory and consumer data using the General Linear Model (GLM) procedures of SAS statistical software package (Version 9.1, SAS Institute Inc., Cary, NC, USA). The Shapiro-Wilk test was performed to test for normality [22]. The Student’s t-least significant difference was calculated at the 5% level to compare treatment means [23]. The proximate data were analysed separately from the abovementioned data. This was done to determine if the objective of producing treatments with 10% protein was achieved. In this instance, the Student’s t-least significant difference was calculated at the 1% level to compare treatment means. Partial least squares regression (PLS) was performed using XLStats software (Addinsoft, France) to determine quality drivers of consumer liking.

Results and Discussions

Protein content of polony samples

The mean chemical values for protein of the respective treatments are presented in Table 3, whilst Table 4 indicates whether the difference between the means for protein was significant (P<0.0001). The treatment which differed was R8S8 (Table 3). The pre-determined value of 10% does not lie within the confidence interval for treatment R8S8; however, it does for the other treatments. This means that the mean protein content of treatment R8S8 was higher than that of other treatments. This may have been due to problems with the raw material analysis and finished product analysis. Challenges were experienced when analysing the pork rind emulsion which was extremely heterogeneous. In summary, all treatments were within range of having 10% protein except for treatment R8S8 which had slightly more.

Treatment Mean (%) Simultaneous 99% confidence limits
R8S8 10.5 10.16 – 10.82
R16S0 10.3 9.97 – 10.62
R8S4 10.3 9.93 – 10.58
R8S0 10.2 9.85 – 10.51
R0S8 10 9.71 – 10.37
R16S8 10 9.64 – 10.29
R0S4 9.9 9.62 – 10.27
R16S4 9.8 9.48 – 10.14
R0S0 9.7 9.35 – 10.01

Table 3: Confidence intervals for mean values of protein in nine treatments of polony.

Effect of pork rind on hydroxyproline/total collagen content

The significance (P<0.0001) of the F value in Table 4 illustrates that some treatments were not equal in terms of total collagen content. As expected and shown in Table 5, treatments in which more rind (R16S0, R16S4 and R16S8) was used to replace MRM had the highest hydroxyproline or total collagen content, while those with less (R8S0, R8S8 and R8S8) or no added pork rind (R0S0, R0S4 and R0S8) had less total collagen. The only source of collagen for the latter three samples was the chicken MRM.

Parameter F-value P-value
Protein 7.46 <0.0001
Collagen 323.81 <0.0001

Table 4: ANOVA results: P-values for protein and collagen analyses of polony samples.

Instrumental colour

Treatment Mean (mg/g)
R16S0 17.9a
R16S8 17.8a
R16S4 17.6a
R8S8 14.2b
R8S0 13.9b
R8S4 13.9b
R0S0 9.6c
R0S4 9.4c
R0S8 7.2d
LSD (P = 0.01) 1.24

Table 5: Mean values of total collagen in nine treatments of polony.

For instrumental colour, the parameters of lightness (L*), redness (a*) and yellowness (b*) were determined. The effect of replacing MRM with rind and soy on L* is presented in Figure 1. The results show that the lowest mean value was for the control sample (R0S0) which differed significantly (P ≤ 0.05) from the other eight treatments. Both soy and rind proteins are white in colour. The more one of the proteins, or a combination thereof, was used to replace MRM in the respective treatments, the whiter the treatment samples became. The increase in whiteness is shown by the increase of the L* value in Figure 1 as rind and soy levels increased. These findings agree with that of Dzudie [24], who noted that sausages extended with 5, 7.5 and 10% common bean flour (CBF) were lighter than the control, which had no CBF. In another study, Fojtik and Mandigo [25] used two different levels of 10 and 20% pork skins (pork rinds) in combination with higher quantities of water in fresh pork sausages. Their results also showed that pork sausages became lighter, mainly due to the dilution of lean meat blood pigments by increased pork skin and water levels. Dingstad [26] noted in frankfurters that lightness can be regarded as the main attribute driving consumer acceptability. They observed that at least 60% of consumers were willing to buy sausage when L* was between 62.3 and 68.5.

food-processing-technology-instrumental-lightness

Figure 1: Mean values of instrumental lightness for nine treatments of wet polony samples manufactured with three levels of pork rind (0, 8 and 16%) and soy levels (0, 4 and 8%, shown as S0, S4 and S8).

The mean values of redness (a*) decreased with an increase in both rind and soy proteins (Figure 2). Chicken MRM contains red pigments of blood (myoglobin and haemoglobin). The replacement of MRM with white proteins (rind and soy) reduced the red colour of the polony treatments. These findings agree with who observed that samples of sausages substituted with 7.5 and 10% common bean flour had a lower degree of redness. Similarly, Akesowan found that the use of 1.5% or more soy protein isolate caused pork sausages to be less red. However, the current results contradict what Fojtik and Mandigo found. In the latter study, the use of higher levels of pork skin in sausage formulation did not affect redness.

food-processing-technology-nine-treatments

Figure 2: Mean values of instrumental redness for nine treatments of wet polony samples manufactured with three levels of pork rind (0, 8 and 16%) and soy levels (0, 4 and 8%, shown as S0, S4 and S8).

The results for yellowness (b*) are shown in Figure 3. Generally, the mean values of b* for samples with 8% soy (S8) increased, while samples with 0% (S0) and 4% soy (S4) decreased up to the level of 8% rind. However, the b* value of S4 increased slightly at the level of 16% rind while that of S0 did not increase significantly. These results show that soy increased yellowness in the treatments where it was added. This was probably due to the soy flour which was slightly yellow in colour. In a study by Akesowan, in which 1.5% or more soy protein was used to make pork sausages, it was observed that the sausages became more yellow. Similarly, Dzudie found that samples were more yellow when levels of 7.5 and 10% of common bean flour were used in extending sausages.

food-processing-technology-yellowness

Figure 3: Mean values of instrumental yellowness for nine treatments of wet polony samples made with three levels of pork rind (0, 8 and 16%) and soy levels (0, 4 and 8%, shown as S0, S4 and S8).

Instrumental texture

The results shown in Figure 4 indicate that the replacement of MRM with rind levels of up to 8% and soy levels of up to 4% increased the hardness (firmness) of the polony treatments, while treatments with 8% soy were softer at all levels of rind. Similar results were obtained for gumminess (Figure 5). These results show that good quality polony with acceptable hardness can be obtained with up to 4% soy and 8% rind. Beyond 4% of soy flour, the products become softer and sticky. According to Chambers and Bowers [27], hardness is the most important attribute to consumers because it determines the commercial value of the processed meat products. Approximately 60% consumers will be willing to buy a sausage with a hardness of 47.3 N and higher (Dingstad). However, higher values for the parameter do not necessarily mean better quality. There is a cut-off point above which the texture of comminuted meat products would be unacceptable [28]. According to this finding, all the polony treatments made in this project might not be very acceptable to consumers, as most of the mean values for hardness were below 47.3 N.

food-processing-technology-hardness

Figure 4: Mean values of instrumental hardness in nine treatments of wet polony samples made with three levels of pork rind (0, 8 and 16%) and soy levels (0, 4 and 8%, shown as S0, S4 and S8).

food-processing-technology-gumminess

Figure 5: Mean values of instrumental gumminess in nine treatments of wet polony samples with three levels of pork rind (0, 8 and 16%) and soy levels (0, 4 and 8%, shown as S0, S4 and S8).

According to Figure 6, all treatments with up to 8% pork rind, did not differ (P>0.05) for the attribute of cohesiveness, while at the 16% rind level, the mean cohesiveness value of S8 was reduced significantly (P ≤ 0.05). In general, these results show that the replacement of MRM with soy protein increased the cohesiveness of polony treatments at all levels of rind, except for products with 8% soy (S8), which decreased at the 16% level of rind. These findings show that the addition of binding aids such as soy and rind improve cohesiveness, as long as too much is not used (Trock). Chin [29] established that the use of incremental levels of soy protein below 3% decreased the cohesiveness of low-fat meat products. The current results disagree with the findings of Chin as some of the treatments of polony in which only soy protein was used, for instance at the level of 4%, showed that cohesiveness increased. A possible explanation might be the difference in the fat content of the products used in their study and in the current study.

food-processing-technology-cohesiveness

Figure 6: Mean values of instrumental cohesiveness in nine treatments of wet polony samples made with three levels of pork rind (0, 8 and 16%) and soy levels (0, 4 and 8%, shown as S0, S4 and S8).

Sensory profile

The effect of replacing MRM with soy flour and pork rind significantly (P ≤ 0.05) decreased the typical pink colour of all polony treatments compared to the control sample R0S0 (Figure 7). However, samples R0S4 and R0S8 did not differ (P>0.05) from each other. Similarly, samples R8S8 and R16S0 did not differ significantly from each other. For white spots, samples R0S4 and R0S8 did not differ (P>0.05) from the control sample, while the rest differed significantly from the control sample (P ≤ 0.05). The present findings for pink colour are consistent with Abiola and Adegbaju [30], who reported that, when pork back fat was replaced with rind levels of 0, 33, 66 and 100%, the colour of pork sausages decreased correspondingly. The negative effect of MRM replacement with rind and soy on the pink colour of polony can be counteracted by adding more dye during the emulsification stage. In South Africa, dyes such as erythrosine BS can be added to enhance the pink colour of polony up to the maximum level of 30 mg/ kg of the product, Department of Health [31].

food-processing-technology-pink-colour

Figure 7: Mean scores for pink colour and white spots of nine treatments of polony manufactured with three levels of pork rind (0, 8 and 16%) and soya (0, 4 and 8%). Means within each sensory attribute with the same letter do not differ significantly (P>0.05).

In the treatments where rind was added (R8S0, R8S4, R8S8, R16S0, R16S4 and R16S8), white spots were observed. The white spots were actual pieces of rind which resulted from incomplete emulsification of the pork rind emulsion by the bowl cutter. This negative attribute could be rectified by extensive chopping of the raw batter of the treatments containing pork rind.

Figure 8 shows that the mean values of both salty taste and garlic flavour decreased compared to that of the control sample, as more MRM was being replaced by increasing levels of soy flour and pork rind, while the mean values of soy flavour increased. Matulis [32] established that the flavours produced by soy proteins in frankfurters (soy levels used ranged from 0 to 3%) masked the intensity of other flavours. Similarly, Chin established that low levels (<3%) of soy protein decreased juiciness and saltiness in low-fat meat products. For the samples which had no soy added to the formula (R0S0, R8S0 and R16S0), the scores for soy flavour were expected to be zero, but this was not the case. The low intensity scores for soy flavour in samples R8S0 (<20) and R16S0 (<25) could possibly be attributed to a synergistic flavour effect of the other ingredients, this tendency, however, requires further clarification.

food-processing-technology-salty-taste

Figure 8: Mean scores for salty taste, soy flavour and white garlic flavour of nine treatments of polony manufactured with three levels of pork rind (0, 8 and 16%) and soy (0, 4 and 8%). Means within each sensory attribute with the same letter do not differ significantly (P>0.05).

Since the reduction of salty taste and garlic flavour is undesirable in polony substituted with soy and rind, more salt and garlic could be added to formulations of polony to counteract the negative flavour effect of meat substitutes. In the present study, the amount of salt which was added to all treatments was 1.8%, while the levels of spices ranged from 0.05% to 0.2%. Salt could be increased up to 2 or 3% [33], however, increased levels of Na need to be researched cognisance of the fact that there are currently regulations in place to limit the Na content of processed foods, Department of Health, 2012. Garlic can be added up to 3-5 g/kg (equivalent to 0.3 -0.5%) in order to enhance the flavour of polony substituted with rind and soy flour, Feiner.

For sensory texture, the attributes analysed were firmness, pastiness and fatty mouth feel (Figure 9). All treatments decreased in sensory firmness due to an increase of soy and rind proteins, and all treatment mean values differed (P ≤ 0.05) from that of the control sample, except for R0S4. For both pastiness and fatty mouth feel, the mean scores for these two texture attributes increased in all samples compared to that of the control treatment. However, for both pasty and fatty mouth feel, the mean scores for samples R0S4 and R0S8 did not differ (P > 0.05) from that of the control, while the rest did. Feiner highlighted that the replacing of lean meat with soy protein and water, as was done in the present study, affects texture and firmness because the replaced meat proteins contribute positively to the named parameters. In Figure 9 it can clearly be seen that an increased replacement of chicken MRM with pork rind and soy flour reduced firmness and increased the sensory textural attributes of pastiness and fatty mouth feel in all the polony treatments, except for the control sample.

food-processing-technology-fatty-mouth

Figure 9: Mean scores for firmness, pasty and fatty mouth feel of nine treatments of polony manufactured with three levels of pork rind (0, 8 and 16%) and soy (0, 4 and 8%). Means within each sensory attribute with the same letter do not differ significantly (P>0.05).

Consumer acceptability

Samples R0S0 and R0S4 were the most preferred samples for its flavour and texture, while sample R0S8 was the least preferred and had an extremely low degree of acceptability in terms of flavour and texture (Figure 10). The other two samples were intermediately preferred.

food-processing-technology-liking-scores

Figure 10: Mean product liking scores for flavour and texture as indicated by 90 consumers, where R0S0-0% rind and 0% soy flour; R0S4-0% rind and 4% soy flour; R0S8-0% rind and 8% soy flour; R8S0-8% rind and 0% soy flour; R8S4-8% rind and 4% soy flour [Flavour LSD (P=0.05)=0.41, Texture LSD (P=0.05)=0.42]. Means within each attribute with the same letter do not differ significantly (P>0.05).

The potential quality drivers of consumer preference are indicated in the PLS plot (Figure 11). The sensory attributes, i.e. a distinctive pink colour, moderate firm texture and salty taste associated with the two preferred samples, R0S0 with zero rind and soy and R0S4 with low levels of soy. R80S0 and R8S4, both formulated with moderate levels of rind and zero or low levels of soy, illustrated low levels of acceptability, mainly due to the visible white spots, fatty mouth feel. According to Figure 11 sample R0S8 was liked least and regarded as unacceptable, probably due to the low intensities of the positive quality attributes indicated on the right side of the PLS plot and higher intensity levels of the negative quality attributes on the right side of the plot. This tendency of consumers to prefer or accept products, in which no or limited substitution of meat was made, has been observed by other researchers. For instance, Abiola and Adegbaju found that the acceptability of pork sausages with 0% rind was higher than that of other batches in which pork rind levels of 33, 66 and 100% were used.

food-processing-technology-quality-drivers

Figure 11: PLS plot illustrating the quality drivers of consumer preference of five polony treatments (R0S0 with 0% rind and 0% soy flour; R0S4 with 0% rind and 4% soy flour; R0S8 with 0% rind and 8% soy flour; R8S0 with 8% rind and 0% soy flour; R8S4 with 8% rind and 4% soy flour). The X-matrix constitutes the sensory and physical attributes and the Y-matrix the two degree of attributes. The degree of liking attributes (Flavor and Texture) are indicated in BLUE, sensory attributes in RED and instrumentally measured attributes (Color & Texture) in GREEN.

Conclusion

This study investigated the effect of replacing MRM with pork rind and soy flour protein on the sensory, chemical and physical attributes of polony as well as the consumer acceptability. It was observed that the replacement of MRM with higher levels of pork rind (16%) and soy flour (4 and 8%) resulted in polony treatments which were very light in colour, poor in texture and flavour, while those with lower levels of pork rind (≤8%) and soy flour (≤4%), including the control sample, illustrated better texture, colour and flavour attributes. The results also indicated that the treatments with lower levels of pork rind and soy flour, including the control, were more acceptable from a consumer point of view than those with higher levels MRM replacers.

It is thus concluded that commercially acceptable polony could be manufactured with varying quantities of chicken MRM, a maximum of 4% soy flour and 8% pork rind to a fixed protein content of 10%, irrespective of fat content and without the addition of extra fat to obtain a Total Meat Equivalent (TME) of 75%. This type of polony formulation should be cheaper and more affordable for the lower income groups and ensure sufficient protein consumption and aid in enhancing food security within this group.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Recommended Conferences

Article Usage

  • Total views: 11872
  • [From(publication date):
    February-2015 - Dec 18, 2017]
  • Breakdown by view type
  • HTML page views : 8095
  • PDF downloads : 3777
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version