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Western Dairy Center, Department of Nutrition and Food Sciences, Utah State University, Logan 84322
Corresponding author: D. J. McMahon; e-mail: djm{at}cc.usu.edu.
| ABSTRACT |
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-lactone solution. Successive injections were performed 24 h apart. Cheese blocks were then analyzed after 40 d of storage at 4°C. Acidulant injection decreased cheese pH from 5.3 in the uninjected cheese to 4.7 after five injections. Decreased pH increased the content of soluble calcium and slightly decreased the total calcium content of cheese. At the highest level, injection of acidulant promoted syneresis. Thus, after five injections, the moisture content of cheese decreased from 34 to 31%, which resulted in decreased cheese weight. Lowered cheese pH, 4.7 compared with 5.3, also resulted in contraction of the protein matrix. Acidulant injection decreased cheese hardness and cohesiveness, and the cheese became more crumbly. The initial rate of cheese flow increased when pH decreased from 5.3 to 5.0, but it decreased when cheese pH was further lowered to 4.7. The final extent of cheese flow also decreased at pH 4.7. In conclusion, lowering the pH of Cheddar cheese alters protein interactions, which then affects cheese functionality. At pH greater than 5.0, calcium solubilization decreases protein-to-protein interactions. In contrast, at pH lower than 5.0, the acid precipitation of proteins overcomes the opposing effect caused by increased calcium solubilization and decreased calcium content of cheese, and protein-to-protein interactions increase.
Key Words: calcium high-pressure injection protein matrix syneresis
| INTRODUCTION |
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Knowing how pH affects the properties of milk and casein micelles has provided a basis for understanding its effect on cheese. However, researchers have encountered a major limitation in that modifying cheese pH causes changes in other chemical parameters of cheese (Lawrence et al., 1983; Lucey and Fox, 1993). This makes it difficult to separate the effect of pH from that of changes in total and soluble calcium content, moisture content, extent and pattern of proteolysis, and their interactions. As a result, and despite the extensive work already done, some of the fundamental questions about the independent effect of pH, or that of calcium, and which one is predominant, and under which conditions remain unanswered.
In trying to overcome the limitation of confounding effects, alternative methods that may allow for independently modifying the pH of cheese could be applied. Ramkumar et al. (1997, 1998) added glucono-
-lactone to shredded cheese, while Kindstedt et al. (2001) exposed shredded cheese to either ammonia or acetic acid vapors to modify cheese pH. However, this requires shredding of the cheese, which limits the analysis of textural properties. An alternative to this approach is to modify the pH of cheese by high-pressure injecting a concentrated solution of acidulant into cheese blocks, a method previously used for modifying other chemical parameters of cheese (Pastorino et al., 2003a, 2003b). This method for modifying cheese pH allows for a more comprehensive study that includes changes in chemical composition, structure, and textural properties of cheese. The objectives of the present research were then to determine the effect of pH on the chemical, structural, and functional properties of Cheddar cheese, and to relate changes in structure to changes in cheese functionality.
| MATERIALS AND METHODS |
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Cheese Injection
Cheese was high-pressure injected one, three, or five times with a 20% (wt/wt) glucono-
-lactone solution as described by Pastorino et al. (2003a). A two-stage homogenizer served as the pump for injection, and solution exited the system at high speed through a multi-nozzle injection head. Pressure of injection was set at 17 MPa, and the burst duration was set to 1 s, which was observed to give an injectate penetration depth of 1 to 3 cm. Successive injections were performed 24 h apart and according to an injection pattern of 1 x 1 cm applied to two opposite sides of the cheese block. After injection, cheese blocks were blotted with paper towels, weighed, vacuum packaged, and then stored for an additional 40 d at 4°C to allow uniform distribution of injectate throughout the cheese, before analysis (Pastorino, 2002).
Chemical Composition
Fat content was determined using a modified Babcock method (Richardson, 1985), moisture content by using the vacuum oven AOAC method 926.08 (1990), and sodium chloride according to AOAC (1990) method 971.19 (model 926 salt analyzer; Corning, Medfield, MA). Protein content was determined by measuring total nitrogen content (Kjeldahl method) and multiplying by 6.38. Total and soluble calcium content was determined by inductively coupled plasma-atomic emission spectroscopy (US Environmental Protection Agency, 1992). To determine soluble calcium, cheese samples (5 g) were blended with 50 g of water using a hand-held, high-speed homogenizer, and transferred to a beaker. The blending container was then rinsed with water (150 g), and the water transferred to the beaker. After standing for 20 min, the solution was filtered through Whatman #42 filter paper. The filtrate was then analyzed for calcium content. Bound calcium was estimated as the difference between the total and soluble calcium content, most of which would be bound to proteins either directly or indirectly through the formation of insoluble complexes. A pH meter (model 520A, Orion Research Inc., Boston, MA), with a glass probe (spear combo, Corning), was used for determining cheese pH, which was measured by taking a cheese sample from the cheese block and inserting the pH probe into the cheese. Proteolysis was determined by measuring NPN. Cheese samples (3 g) were blended with 40 ml of TCA (12% wt/wt) using a hand-held, high-speed homogenizer. After standing for 30 min, the solution was filtered through Whatman #42 filter paper, and nitrogen content in the filtrate measured by Kjeldahl method.
Scanning Electron Microscopy
Cheese samples (approximately 1 x 1 x 10 mm) of the uninjected cheese and cheese injected five times were taken and fixed in fresh 2% glutaraldehyde solution at room temperature, and then stored at 4°C. After refrigerated storage, the samples were processed according to McManus et al. (1993), but as modified by Pastorino et al. (2003a). Thus, samples were frozen in liquefied Freon 22, transferred to liquid nitrogen, cryofractured perpendicular to their long axis, and thawed in 2% glutaraldehyde. They were then dehydrated in a graded ethanol series followed by fat extraction. After overnight storage, the samples were rehydrated, and washed with sodium cacodylate buffer, pH 7.2. The samples were then postfixed with a solution containing osmium tetroxide and potassium ferrocyanate, and staining enhanced by a tannic acid solution in cacodylate buffer. After postfixing, the samples were washed with distilled water, dehydrated in a graded ethanol series, and air-dried. Samples were then coated with a gold-iridium mix. After coating, samples were viewed in a field emission scanning electron microscope operated at 3 kV. Images, at 1500x magnification, from eight fields were recorded on film and digitally. Fields were randomly selected from areas of the sample that exhibited good quality planes of fracture.
Image Analysis
Digital images of electron micrographs were uploaded into Adobe Photoshop 4.0, and brightness and contrast were adjusted so that the images looked alike. Images with pixels in the gray scale 0 to 255 (from black to white) were then analyzed as described by Pastorino et al. (2003a). Images were converted from their gray-scale values to binary images in which gray pixels were converted to either white or black pixels by applying the threshold function of the software. In the original digital images, dark pixels corresponded to areas of the micrograph occupied by pockets that originally contained fat and/or serum, whereas light pixels corresponded to areas occupied by protein matrix. When thresholding, pixels having a gray value lower than the threshold level were converted to black pixels, whereas those having a gray value higher than the threshold level were converted to white pixels. A threshold level of 120 was found to provide a differentiation between dark and light areas as determined by visually matching the original and binary images. The proportions of black and white pixels, and the areas occupied by them were then determined by applying the histogram function of the software. Thus, the areas of cheese matrix occupied by fat/serum pockets (dark areas) and protein matrix (light areas) were determined.
Cheese Functionality
After 40 d of storage at 4°C, cheese was removed from its packaging, blotted with paper towels, and reweighed. Melting was analyzed using the UW Meltmeter (University of Wisconsin-Madison, WI) as described by Wang et al. (1998). Duplicate cheese samples, 3 cm in diameter and 0.7 cm in height, were tested at 60°C with the height of cheese recorded every 0.2 s for 60 s. Initial rate of flowing was defined as the rate (mm/s) at which cheese height decreased during the first 5.0 s of the test. Also, the final extent of cheese flow (cheese height) at 40.0 s was determined. Texture profile analysis was performed as described by Pastorino et al. (2003a). Thus, a two-bite compression test was run on an Instron 5542 (Canton, MA) with a 1.2-kg static load cell (rating: ± 500N), 75% compression factor, and crosshead speed set at 20 mm/min. Samples, 20 mm long x 16 mm in diameter, were taken from the cheese immediately after removal from the refrigerator, and tested at approximately 5°C. Hardness, cohesiveness, and adhesiveness were determined by analyzing the data according to Bourne (1978).
Experimental Design and Statistical Analysis
The experiment was conducted in triplicate as a completely randomized design. Three treatments, corresponding to number of injections (one, three, or five), along with a control, uninjected cheese, were considered in the experiment. Two cheese samples were analyzed for all variables except cheese weight, soluble and total calcium, and soluble nitrogen content, and their mean was considered for analysis of variance. For scanning electron microscopy, at least five cheese samples of uninjected cheese and cheese injected five times, from one replication, were observed under the microscope, and the digital image of five fields was analyzed. Thus, each field was considered a replicate for analysis. Statistical analysis (GLM and LSD) was performed using SAS (1999).
| RESULTS |
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In addition to observing injection sites, after 40 d of refrigerated storage, white crystals were observed on the surface of cheese blocks injected three and five times; being more abundant in cheese blocks injected five times. The crystals tended to arrange in clover-like structures with a cross-section length of up to 6 mm.
Chemical Composition
The moisture and fat content of the control, uninjected cheese was 34 and 30%, respectively. Calcium content was 0.8% and sodium chloride 1.7%.
Injecting a concentrated solution of glucono-
-lactone significantly decreased cheese pH (P < 0.01). Each injection decreased the pH of cheese by 0.13 units in average, and after five injections cheese pH decreased from 5.3 in the control, uninjected cheese to 4.7 (Figure 1
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| DISCUSSION |
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Injecting salt into cheese increases the hydration and water-holding capacity of the protein matrix, which results in increased moisture retention and expansion of the matrix (Pastorino et al., 2003a). However, the expansion of the protein matrix was insufficient to retain all the fluid and increased solid content, which resulted in syneresis during storage and a net reduction in the moisture content of cheese. In contrast, calcium injection promotes interaction between proteins that causes contraction of the protein matrix, decreased water-holding capacity of the matrix, release of water, and syneresis (Pastorino et al., 2003b). In the present experiment, lowering the pH of cheese resulted in syneresis (especially after five injections), possibly because of both increased volume of serum and contraction of the protein matrix.
At pH 5.2, there is increased solubilization of colloidal calcium phosphate and decreased interactions between proteins, which allows increased solvation of caseins (van Hooydonk et al., 1986). Thus, at pH 5.2, increased hydration of the protein matrix would be expected, leading to increased moisture content of cheese (Keller et al., 1974). However, lowering of pH, especially below 5.0, would promote protein-to-protein interactions as the caseins approach their isoelectric point and electrostatic repulsions are minimized (Visser et al., 1986; Marchesseau et al., 1997). Thus, the ability of proteins to interact with water and the water-holding capacity of the protein matrix would decrease below pH 5.0, which then results in increased syneresis and decreased moisture content of cheese.
Calcium.
Decreasing the pH of milk causes dissociation of minerals, mainly calcium and phosphorous, from colloidal calcium phosphate into soluble ions and complexes (Keller et al., 1974; van Hooydonk et al., 1986; Visser et al., 1986; Dalgleish and Law, 1989; Lucey et al., 1996; Le Graët and Gaucheron, 1999). As a result, the content of soluble calcium in cheese increases as pH is lowered (Kindstedt et al., 2001; Watkinson et al., 2001). Such an inverse linear relationship between pH and soluble calcium content was observed in the present experiment, with the proportion of calcium in soluble form increasing from 45% at pH 5.3 to 75% at pH 4.7. Thus, after three injections (pH 5.0), the amount of bound calcium decreased from 17 to 14 mg/g of protein. Lowering the pH of cheese from 5.0 to 4.7 further decreased the amount of bound calcium, from 14 to 6 mg/g of protein, and the amount of total calcium slightly decreased, presumably because of syneresis and loss of soluble calcium in the expelled serum.
Proteolysis.
Lowering cheese pH from 5.3 to 5.0 resulted in increased content of TCA-soluble nitrogen in cheese after 40 d of refrigerated storage. Calcium solubilization would promote partial relaxation of protein-protein interactions, which could enable proteolytic enzymes to better access sites for hydrolysis. However, lowering cheese pH from 5.0 to 4.7 resulted in less proteolysis occurring during cheese storage. This decrease in proteolysis is probably because of decreased microbial and enzymatic activities at lower pH (Creamer et al., 1988). In particular, lower cheese pH decreases the activity of plasmin, which may then result in decreased breakdown of ß-casein (Watkinson et al., 2001).
Cheese Microstructure
The solubilization of minerals from caseins that is brought about by decreased pH at low temperature leads first to decreased interactions between proteins, and caseins normally dissociate from casein micelles (Roefs et al., 1985; van Hooydonk et al., 1986; Dalgleish and Law, 1988). Thus, lowering the pH of milk from 6.7 to 5.4 or 5.3 increases the solubility of caseins (Roefs et al., 1985) and leads to the presence of smaller casein aggregates (Visser et al., 1986). In cheese, at pH 5.3 or 5.2, larger aggregates are observed in the protein matrix compared with cheeses with lower pH (e.g., pH 5.0 [Hall and Creamer, 1972; Lawrence et al., 1983, 1987]). Thus, a model for the protein matrix of cheese is proposed that at pH 5.3 is characterized by the presence of relatively large high-density protein aggregates, 10 to 12 nm in diameter, and by having a relatively well-defined structure in which protein strands can be identified (Figure 8A
).
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Interactions between proteins significantly increase below pH 5.0 (van Vliet and Walstra, 1994), which results in the contraction of protein aggregates during the formation of milk gels (Visser et al., 1986), and below pH 5.0 cheese is characterized by having protein aggregates of even smaller size (Hall and Creamer, 1972; Lawrence et al., 1983, 1987). Thus, at pH 4.7 the protein matrix in the model is characterized by the presence of high-density aggregates 2 to 4 nm in diameter that tend to cluster, making protein strands no longer visible, and decreasing the structural uniformity of the matrix (Figure 8C
).
In agreement with the previous description, injecting acidulant into cheese caused a decrease in pH that after three injections (pH 5.0) impaired protein-to-protein interactions due to calcium solubilization, but that significantly increased interactions between proteins after five injections (pH 4.7) because of decreased electrostatic repulsion. Thus, at pH 4.7, the acid precipitation of the caseins overcame the opposing effect of calcium solubilization, and a net increase in protein-to-protein interactions caused contraction of the protein matrix.
Cheese Functionality
Hardness.
Lowering the pH of cheese normally results in cheese with decreased hardness (Paulson et al., 1998; Watkinson et al., 2001). Thus, the cheese has less of a solid-like behavior (Ramkumar et al., 1998) and it may become more elastic (Keller et al., 1974). In contrast, Creamer et al. (1988) observed no significant correlation between the pH and hardness of Cheddar cheese (pH range of 5.3 to 4.9). However, when comparing cheeses with similar calcium content (0.91 and 0.95%) but different pH (4.9 and 5.1), cheese with lower pH had decreased hardness. Also, in their study, modifying cheese pH resulted in changes in other chemical parameters of cheese. Thus, the effect of pH on cheese hardness may depend on the range of pH values considered, and it may be confounded by changes in other chemical parameters of the cheese.
Watkinson et al. (2001) observed processed cheese with lower pH, from 6.2 to 5.2, to have decreased firmness and to become more crumbly. In their study, lower pH was accompanied by decreased moisture and increased soluble calcium content of cheese, and by changes in the pattern and extent of proteolysis in cheese. They suggested, however, that the effect of pH on rheological and fracture properties of cheese mainly resulted from changes in calcium-mediated protein interactions as a result of calcium solubilization. In addition, increased structural uniformity of the matrix has been observed to increase cheese firmness (Rayan et al., 1980), and Marchesseau et al. (1997) observed process cheese to have a less homogeneous and dense protein network at pH 5.2 compared with pH 5.7. Thus, they suggested that decreased structural uniformity could not allow for even distribution of stress, which would then result in cheese of lower pH (5.2) having decreased firmness.
The results of the present study are in agreement with previous observations in which lowering the pH of cheese resulted in decreased hardness. In particular, lowering the pH of cheese from 5.3 to 5.0 would affect cheese hardness by affecting calcium-mediated protein interactions through changes in the distribution of calcium between its soluble and insoluble forms, which is in agreement with the proposition of Watkinson et al. (2001). Thus, after three injections, decreased pH caused solubilization of calcium from casein aggregates that decreased interactions between proteins and that probably facilitated structural rearrangements in the protein matrix. Decreased protein-to-protein interactions resulted then in the weakening of the protein matrix that led to decreased hardness of cheese, an effect that can be better understood with insight from polymer and materials science.
From a materials science point of view, cheese could be considered a composite material in which two main structural components are recognized: protein and fat. Protein is the polymeric material that makes up the structure of the matrix, whereas fat participates either as a filler (nonhomogenized milk) or as a copolymer (homogenized milk). The strength of a composite material depends on its composition, the properties of the polymeric and filler material, and on the nature and extent of their interactions or cross-linking (Calvert, 1997). Also, orientation of the polymeric material and structural regularity increases the strength and toughness of the material. In the present experiment, after three injections with acidulant solution, the gross composition of cheese was unchanged, and no major changes in the state of fat would be expected. Therefore, changes in the state of the polymeric material, i.e., protein, and its interactions would account for changes in textural properties of cheese.
The strength of a material can be enhanced by increasing the molecular weight of the polymeric constituent, the chain length, the extent of cross-linking, and the orientation or structural regularity of the material; all of which improve the transfer of load between polymeric units (Calvert, 1997). Calcium promotes protein interactions (Pastorino et al., 2003b), probably through calcium bridging and charge neutralization. Hence, the solubilization of calcium from casein would decrease the extent of interaction or cross-linking between the polymeric units, i.e., protein aggregates. This would then impair the transfer of stress, thus decreasing the hardness of cheese. As described in the proposed model for the protein matrix of cheese, it is possible that decreased interaction between proteins resulted also in decreased size of protein aggregates and/or decreased length of protein strands in the matrix (Figure 8B
), which would further decrease the hardness of cheese. In addition, decreased interaction between proteins could also influence the structural regularity of the protein matrix, which could in turn affect cheese hardness as previously suggested by Marchesseau et al. (1997).
In contrast to the observed decreased hardness of cheese when pH decreased from 5.3 to 5.0, further lowering of pH from 5.0 to 4.7 had no effect on cheese hardness. Even though the cheese had decreased calcium and moisture content, no further decrease in cheese hardness was observed after five injections (pH 4.7). It is possible that as the caseins approached their isoelectric point, increased protein-to-protein interactions compensated for the decreased calcium and moisture content of cheese that would make the cheese less hard and more crumbly. Applying the same principles from materials science, the acid precipitation of proteins could lead to increased interaction between neighboring protein aggregates, which now locate closer to one another (Figure 8C
). This would then facilitate the transfer of stress between these polymeric units, thus promoting increased hardness to an extent that possibly compensated for the opposing effect of decreased calcium and moisture content of cheese.
Cohesiveness.
In accordance with previous work (Pastorino et al., 2003a, 2003b), altered protein interactions affected cheese cohesiveness. However, cheese cohesiveness significantly decreased only after five injections, when the cheese had decreased moisture and calcium content. Both decreased moisture and calcium content have been associated with decreased cohesiveness of cheese (Pastorino et al., 2003a, 2003b), and moisture content may per se affect cheese cohesiveness (Tunick et al., 1991). Thus, the effect of pH on cohesiveness was confounded with decreased calcium and moisture content of cheese. As previously proposed (Pastorino et al., 2003a), it is possible that decreased long-range protein interactions caused the cheese to become less cohesive and elastic, and more crumbly. Even though interactions between proteins were favored at pH 4.7, they probably involved neighboring aggregates and did not extend considerably throughout the matrix (Figure 8C
). This would be in agreement with the observed decreased hardness of cheese, as less extended, short-range protein interactions would result in decreased transfer of stress between polymeric units.
Flow.
The effect of pH on cheese flow was also related to altered protein interactions. When pH decreased from 5.3 to 5.0, calcium was solubilized from caseins and the amount of bound calcium decreased. This resulted in cheese with increased initial rate of flow. Calcium is a strong promoter of protein-to-protein interactions, and its solubilization would decrease interactions between proteins, thus facilitating the initial flow of cheese. However, after three injections, and even though calcium had been solubilized, the total calcium content remained the same, and decreased pH had no effect on the final extent of cheese flow. Similarly, Paulson et al. (1998) observed no effect of pH, in the range of 5.8 to 5.3, on the melting of nonfat Mozzarella cheese whose calcium content remained unchanged.
In contrast, lowering pH from 5.0 to 4.7 decreased both the initial rate and the final extent of cheese flow. At pH 4.7, the cheese had increased content of soluble calcium, and decreased amount of bound and total calcium, which would result in decreased protein-to-protein interactions. However, after five injections, the decrease in cheese flow and the contraction of the protein matrix were indications of increased interactions between proteins. As the pH of cheese decreases from 5.0 to 4.7, caseins approach their isoelectric point and electrostatic interactions decrease, which would favor protein-to-protein interactions. Thus, below pH 5.0, the acid precipitation of caseins overcame the opposing effect of calcium solubilization and lower calcium content, resulting in a net increase in protein-to-protein interactions that significantly impaired the flow of cheese.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Received for publication February 20, 2003. Accepted for publication April 2, 2003.
| REFERENCES |
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