Introduction
Ice cream is a frozen product consisting of air cells, ice crystals, and fat droplets dispersed in a serum phase. During processing, ice cream is frozen rapidly by removing heat from the mix while stirring to incorporate air (Marshall et al., 2003). Stabilizers, predominantly hydrocolloids, are used during preparation to provide a smooth texture, for shape retention during melting, and to increase the viscosity of the mix (Goff and Hartel, 2004; Marshall et al., 2003). Most importantly, these cryoprotective hydrocolloids retard the growth of ice crystals during storage, especially during temperature fluctuations, but they neither change the thermodynamics of the ice cream mix nor alter ice nucleation kinetics (Marshall et al., 2003; Muhr et al., 1986).
Gelatin, derived from collagen obtained from various animal by-products, is one of the principal materials used as an ice cream stabilizer. It disperses easily and does not cause wheying-off or foaming. However, gelatin is a relatively expensive stabilizer only effective at high concentrations and tends to offer poor protection against the effects of heat shock. It also requires prolonged aging (Wang and Damodaran, 2009). With these drawbacks in mind, low molecular-weight (600-2,700 Da) collagen peptides derived from Alcalase hydrolysis of bovine gelatin have been found to inhibit ice recrystallization in a supercooled ice cream mix (Wang and Damodaran, 2009). These can therefore be considered as new stabilizers for ice cream production.
Other than their use as stabilizers, collagen peptides have also attracted attention for their bioactive properties. An antihypertensive peptide has been obtained from porcine skin collagen (Ichimura et al., 2009). Numerous studies have investigated the antioxidant properties of peptides obtained from collagenous sources; these may protect living cells against free radical mediated oxidative damage (Kim et al., 2001).
Subcritical water, viz. pressurized water heated above its boiling point but below the critical point of 374℃ and 221 MPa, has unique properties (Lee et al., 2013). Com-pared with other hydrolysis methods, the “green” approach of using water as a solvent in place of hazardous substances also expedites processing (Alargov et al., 2002; Lee et al., 2013). Sub-critical water hydrolysis has been employed to efficiently extract amino acids from collagen (Zhu et al., 2011). Furthermore, the effects of high pressure/high temperature (sub-critical water) treatment on porcine placenta have also been reported (Lee et al., 2013).
In this study therefore, low molecular-weight collagen derived from porcine skin (< 1kDa, porcine skin hydrolysate, PSH) was extracted using sub-critical water (300℃ and 80 bar). Chocolate ice cream was then prepared using PSH which contained 5 wt% collagen peptides as a stabilizer and cocoa powder because of its strong off-flavor. The effects of different PSH contents on the physicochemical and sensorial properties of chocolate ice cream were analyzed.
Materials and Methods
Preparation of porcine skin hydrolysates
Porcine skin hydrolysates (PSH) were produced by subcritical water hydrolysis. The treatment conditions were optimized in a previous study (Kim et al., 2014). Porcine skin was bought from a local butcher’s shop (Daeho Chooksan, Korea). The skin was immersed in 70℃ water for 2 h to remove fat and other residues and then sliced into 0.5 cm × 0.5 cm pieces. These were homogenized first for 3 min using a four-wing blade blender (CNHR- 26, Bosch, China) and then at 25,000 rpm for 5 min using an Ultra-Turrax® blender (T25, IKA Labotechnik, Germany). The sub-critical water system (300°C and 80 bar) was composed of a control box, vessel (reactor), water bath, heater, temperature controller, and pressure controller (SFE SYSTEM, CS-1000, REXO, Korea). Porcine skin mixed with distilled water (1:2, w/w) was then hydrolyzed and cooled directly in this system whose temperature and pressure were reduced down to 40-45℃ and 0.1 bar, respectively in a 4℃ water bath with coolant circulation. All processing steps were completed within 1 h.
Characterization of the porcine skin hydrolysates
All characterizations were performed as described by Kim et al. (2014). The samples were centrifuged at 10,000 g for 5 min and the molecular weights of the peptides in the supernatant were determined by gel permeation chromatography (GPC, YL 9100, Younglin Instrument Co. Ltd., Korea). The amino acid profile was determined at the Animal Resources Research Center in Konkuk University (S4300 Amino Acid Reaction Module, Systeme & Komponenten analytischer Meßtechnik, Germany). The free amino group content was determined using the method of Benjakul and Morrissey (1997), and expressed in terms of L-leucine (Nagarajan et al., 2012). The pH and color of the filtered PSH solution were respectively determined using a pH meter (Model S220, Mettler Toledo GmbH, Switzerland) and a colorimeter (CR-210 Chroma-meter, Minolta, Japan) calibrated using a white standard (CIE L* = +97.83, CIE a*= −0.43, CIE b*= +1.96).
Ice cream preparation
Different ice cream samples were prepared with the stabilizer type and content varied as follows: 0.5 wt% gelatin (Hayashi Pure Chemical Industries Ltd., Japan), 0.5 wt% PSH, PSH 0.1 (0.1 wt% PSH+0.4 wt% gelatin), PSH 0.2 (0.2 wt% PSH+0.3 wt% gelatin), PSH 0.25 (0.25 wt% PSH+0.25 wt% gelatin), PSH 0.3 (0.3 wt% PSH+ 0.2 wt% gelatin), and PSH 0.4 (0.4 wt% PSH+0.1 wt% gelatin). The ice cream used in this study consisted of 11 wt% milk fat and 59.3 wt% water (provided as milk and whipped cream, Maeil Dairies Industry Co., Ltd., Korea), 10 wt% non-fat milk solids (skimmed milk powder, Maeil Dairies Industry Co., Ltd., Korea), 12 wt% sucrose (CJ CheilJedang Corp., Korea), 4 wt% corn syrup solids (Dextrose Equivalent 42, Grain Processing Corp., USA), 0.2 wt% glyceryl monosearate (Daejung Chemicals & Metals Co., Ltd., Korea), and 3 wt% cocoa powder (ADM Cocoa Pte. Ltd., Singapore) (Table 1).
Table 1.Composition of the chocolate ice cream samples used in the present study
All ingredients were mixed, pasteurized at 70℃ for 30 min, and then homogenized using a high-speed homogenizer (Ingenieurbüro CAT M. Zipperer GmbH, Germany) for 30 min at 11,000 rpm. The ice cream mix was then cooled down to 4℃ and aged overnight. The aged ice cream mix was frozen in a freezer (Sani-serv 407 1E, USA) at a drawer temperature of −5℃, and packed into 30 mm × 5 mm containers and 120 mL specimen cups (SPL Lifesciences Co., Ltd., Korea). The ice creams were hardened and stored at −20℃ for 24 h in a freezer (CRFD- 0621, Samsung Electronics Co., Ltd., Korea). The overall experimental procedure was repeated three times giving a total of 21 formulations.
Rheological properties
Ice cream viscosity
A rheometer (Anton Paar, MCR 302, Austria) with a concentric cylinder (CC27) was used to determine the viscosity of the ice cream mixes after aging. The measurements were carried out for shear rates ranging from 1 s–1 to 100 s–1 at 4℃. The apparent viscosity (Kokini viscosity) of the ice cream mixes, representing the feeling of low-viscosity foods in the mouth, was calculated at a shear rate of 50 s–1 (Akhtar et al., 2006; Kokini 1987; Stanley and Taylor, 1993). The Ostwald-de Waele model was used to relate the shear rate and the shear stress, through which the consistency coefficient (K) and flow behavior index (n) can be calculated as follows:
σ = Kγn
where σ is the shear stress (Pa), K is the consistency coefficient (Pa·sn ), γ is the shear rate (s–1), and n is the flow behavior index (dimensionless).
Oscillatory rheometry
Oscillatory thermo-rheometry measurements were carried out (Wildmoser et al., 2004) using a rheometer (Anton Paar, MCR 302, Austria) with a plate-plate geometry (PP25-S, plate diameter: 25 mm) to determine the dynamic rheological properties of the ice cream mixtures. A movable hood covering the plate-plate setup reduced temperature fluctuations with the environment. The test was performed at a constant strain γ = 0.2% and angular frequency ω = 10 s–1. A 2 mm gap was maintained between the plates. The temperature was gradually increased from 20℃ to 10℃ at a constant heating rate of 2℃/min. The storage modulus G' and the loss modulus G" were obtained from measurements, which respectively characterize the elastic and viscous behaviors of the ice cream.
Melting test
Each time one sample was placed on a stainless mesh on top of a plastic funnel attached to a stand, and a plastic sample dish was placed on an electronic balance (BL- 220H, Shimadzu Corp., Japan). This ice-cream melting system was placed in an incubator (SW-90F, Sangwoo, Korea) maintained at 25℃. The balance was connected to a computer and the weight of the ice cream melt was automatically calculated every minute (Fig. 1).
Fig. 1.Schematic diagram of the ice cream melting system.
Color differences
The difference in color of the ice cream after hardening was measured using a Chroma-meter (CR-400, Konica Minolta Optics, Inc., Japan). Results were expressed using the L*a*b* scale, for lightness, redness, and yellowness, respectively. The measurements were calibrated to a white standard (CIE L*=+94.50, CIE a*=–0.53, CIE b*= +3.14) and the total color difference (∆E*) was calculated using the following equation:
where (L1*, a1*, b1*) is the reference color and ( L2*, a2*, b2*) is the target color.
Sensory properties
Sensory characteristics including the appearance, chocolate flavor, off-flavor, bitterness, creaminess, iciness, hardness, sweetness, smoothness, and coarseness of the ice cream were evaluated by trained panelists. In these sessions, the attributes and assessment techniques were defined and a practical sample evaluation was performed. Sensory evaluations were carried out using a 5-point scale, with 1 representing “non-existent or imperceptible” and 5 representing “very intense” properties.
Statistical analysis
All assays were carried out in triplicate. The data were expressed as means with standard deviations and statistical analysis was performed using the Origin Pro 8 (OriginLab, USA) and SPSS 20.0 (SPSS Institute, USA) software. Means were subjected to analysis of variance by Duncan’s multiple range test and Least-significant difference at p<0.05.
Results and Discussion
Physical properties of porcine skin hydrolysates
In this study, PSH was produced through an optimized sub-critical water treatment (300℃ and 80 bar) and the physical properties of the resulting PSH were similar to those described in our previous report (Kim et al., 2014). Representative characteristics of the PSH used here to prepare ice cream are shown in Table 2 and Fig. 2. The relatively high pH, 9.22, is due to the increased self-ionization of water during sub-critical water treatments (Brunner, 2009, 2014; Penninger et al., 2000; Ravber et al., 2015; Watchararuji et al., 2008). The molecular weight peaks obtained following the sub-critical water treatment of PSH are distributed between 434 Da and 626 Da. The free amino group content was 57.18 mM, with the concentrations of Gly (28%) and Ala (13.1%) being the highest. In terms of color, the lightness, redness and yellowness of the PSH were 33.6, 0.59, and 11.4, respectively.
Table 2.Physical properties of porcine skin collagen extract
Fig. 2.Gel permeation chromatography graph obtained for PSH with crosses indicating the molecular weights of constituents.
Viscosity of the ice cream mixes
Viscosity, one of the most important rheological properties of ice cream mix, is influenced by many factors notably its composition and the stabilizer type and content. By forming a three-dimensional network of hydrated molecules, hydrocolloids enhance the water-binding capacity of the ice cream mix (Kus et al., 2005). Table 3 shows the values measured for the Kokini viscosity, consistency coefficient, and flow behavior index of the ice cream mixes prepared with different PSH-to-gelatin ratios. The flow behavior indexes are all less than one, characteristic of the shear thinning behavior reported previously (Kaya and Tekin, 2001). Ice cream mixes with higher consistency coefficients are considered more viscous. Soukoulis et al. (2009) related enhanced apparent viscosity by increased Kokini viscosities and consistency coefficients, and increased shear thinning by lower flow behavior indexes. Here, the Kokini viscosity and consistency coefficient increases and the flow behavior index decreases for lower PSH (higher gelatin) concentrations, indicating that PSH leads to a more moderate increase in ice cream viscosity than gelatin. This may be due to the low peptide content of collagen, only 5 wt% in PSH. There is a significant (p<0.05) difference between the Kokini viscosities of the control, PSH 0.1, and PSH 0.2 ice cream mixes. The control sample has the highest Kokini viscosity (0.43±0.06 Pa·s), followed by PSH 0.1 (0.28±0.07 Pa·s) and PSH 0.2 (0.19±0.03 Pa·s). However, although the other mixes had lower Kokini viscosities, these differences were not significant (p>0.05).
Table 3.Effect of hydrocolloids on the Kokini viscosity, consistency coefficient, and flow behavior index of different chocolate ice cream mixes Mean±SD values were calculated based on at least 3 repeat measurements. a-dDifferent letters in the same column indicate significantly different values (p<0.05).
Oscillatory rheometry
Oscillatory tests are used to determine the viscoelastic properties of complex food systems (Dolz et al., 2006). Temperature has an important impact on the structure of ice cream, with ice crystal microstructures dominating the rheological behavior of frozen ice cream in the low temperature range, from –20℃ to –10℃. Thus, the storage modulus G' and loss modulus G" below –10℃ report on the ice crystal size and rigidity of the ice cream. As ice is melted away under constant heating from 0℃ to 10℃, the loss modulus G’’, which characterizes the viscosity of the ice cream, can be correlated with creaminess (Wildmoser et al., 2004).
The influence of hydrocolloids on the ice cream storage modulus at –20℃ and its loss modulus at 10℃ are presented in Figs. 3 and 4, respectively. The PSH 0.2 and PSH 0.4 samples have the lowest storage modulus at –20℃ (0.45±0.03 MPa and 0.48±0.03 MPa, respectively). These two combinations of stabilizers are therefore the most effective at inhibiting ice crystal growth during ice cream preparation. The control ice cream mix with the highest Kokini viscosity is also the creamiest, with the highest loss modulus at 10℃ (34.01±2.14 Pa, p<0.05) among the different samples, but also with the largest ice crystals as revealed by the highest storage modulus at –20℃ (1.11± 0.03 MPa, p<0.05). The second and third most viscous mixes (PSH 0.1 and PSH 0.2) are also creamy with no significant difference (p>0.05) between their loss modulus at 10℃ (21.27±1.25 Pa and 20.63±3.11 Pa, respectively).
Fig. 3.The influence of hydrocolloids on the ice cream storage modulus at –20℃.
Fig. 4.The influence of hydrocolloids on the ice cream loss modulus at 10℃.
Melting resistance of the ice cream
Melting resistance is an important parameter used to evaluate the physical stability of frozen ice cream. According to Marshall et al. (2003), hydrocolloids improve the resistance to melting due to the enhancement of water holding and microviscosity they provide. However, as shown in Table 4, although the ice creams with higher viscosities (control and PSH 0.1) have longer first-dropping times (35.67±2.08 min and 23.33±2.52 min, respectively), their melting rates (6.35±0.78 g/min and 4.43± 0.16 g/min, respectively) are significantly higher than those of the other five types of ice cream (p<0.05). This result is in agreement with Kilara and Chandan (2008), and proves that gelatin is not effective in preventing the effects of heat shock. The ice cream with the third-highest viscosity (PSH 0.2) has a first dropping time and melting rate that are not significantly different (p>0.05) from the values measured for the four remaining samples, indicating that melting resistance is similarly enhanced for PSH concentrations above 0.2 wt% and gelatin concentrations below 0.3 wt%.
Table 4.Mean±SD values were calculated based on at least 3 repeat measurements. a-cDifferent letters in the same column indicate significantly different (p<0.05) values.
Color differences
In this study, since the PSH are dark brown, the lightness, redness, and yellowness of the ice cream mixtures were measured to evaluate the effects of hydrocolloids on the color of hardened chocolate ice cream. Note that color differences in fresh ice cream have seldom been investigated. As Table 5 shows, there is no significant difference in color (p>0.05) between the ice creams prepared with different PSH to gelatin ratios, with an average lightness, redness, and yellowness of 42.3, 10.5, and 17.1, respectively. Cocoa powder is similar in color to PSH but darker, therefore varying the PSH concentration does not affect the color of the ice cream. In previous tests of the effect of PSH on vanilla ice cream, its color quality was deemed not acceptable because of stains and darkening.
Table 5.Mean±SD values were obtained from at least 3 repeat measurements. None of the values are significantly different (p>0.05).
Sensory evaluation
The perceived texture and flavor of ice cream are considered to be the most important factors influencing ice cream consumption. In addition to their other effects, hydrocolloids influence the sensory properties of ice cream (Donhowe et al., 1991; Rincon et al., 2006; Soukoulis et al., 2008). Comparing the physicochemical properties of the different fresh samples, the PSH 0.2 composition has a relatively high Kokini viscosity, enhanced resistance to melting, the lowest storage modulus at –20℃, and the second highest loss modulus at 10℃. This mixture was therefore chosen for sensory evaluations along with the control and PSH 0.5 samples.
As shown in Table 6, there was no significant difference (p>0.05) between the three samples in terms of appearance, bitterness, creaminess, iciness, sweetness, smoothness, or coarseness. Morris (1995) reported that increased shear thinning of hydrocolloids may be associated with better flavor perception. Indeed, in the present study, the sample with 0.5 wt% gelatin, which exhibited the most shear thinning, gained a significantly higher chocolate flavor score (p<0.05). As expected since PSH is known to cause strong off-flavors, the PSH 0.2 and PSH 0.5 mixtures have significantly higher off-flavor scores (p<0.05) compared with the control ice cream. The ice cream produced with 0.5 wt% gelatin has a significantly higher hardness score (p<0.05) than the other two, which is in agreement with the oscillatory rheometry tests that ice crystal growth is not inhibited effectively in the 0.5 wt% gelatin sample.
Table 6.Mean±SD values were calculated based on at least 5 repeat measurements. a,bDifferent letters in the same row indicate significantly different values (p<0.05).
Conclusion
This study analysed the impact of different PSH-to-gelatin ratios on the physicochemical and sensorial properties of chocolate ice cream. In terms of the physicochemical properties, the ice cream prepared with 0.2 wt% PSH and 0.3 wt% gelatin was optimal among the seven compositions tested, with a relatively high Kokini viscosity, enhanced melting resistance, the lowest storage modulus at –20℃, and the second highest loss modulus at 10℃. However, in the sensory evaluations, the control ice cream (0.5 wt% gelatin) was perceived to have the highest chocolate flavor and the lowest off-flavor, possibly due to the strong off-flavor of PSH. The addition of low molecularweight collagen peptides derived from porcine skin was therefore effective in improving the physical and rheological properties of the ice cream, but its sensory properties were degraded by the off-flavor of PSH. Masking the off-flavor of PSH is therefore an important goal for further studies in order to manufacture ideal ice cream products.
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