J. Dairy Sci. 89:444-453
© American Dairy Science Association, 2006.
Influence of Calcium and Phosphorus, Lactose, and Salt-to-Moisture Ratio on Cheddar Cheese Quality: Proteolysis During Ripening
P. Upreti*,
L. E. Metzger*,1 and
K. D. Hayes
* MN-SD Dairy Foods Research Center, Department of Food Science and Nutrition, University of Minnesota, St. Paul 55108
Department of Food Science, Purdue University, West Lafayette, IN 47906
1 Corresponding author: lmetzger{at}umn.edu
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ABSTRACT
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Proteolysis in cheese is influenced by the state of proteins (proteincalciumphosphate interactions), level of indigenous milk enzymes (plasmin), externally added milk-clotting enzymes (chymosin), and endogenous and exogenous enzymes from starter and non-starter lactic acid bacteria (NSLAB). The objective of this study was to determine how different levels of calcium (Ca) and phosphorus (P), residual lactose, and salt-to-moisture ratio (S/M) in cheese influence proteolysis during ripening. Eight cheeses with 2 levels of Ca and P (0.67 and 0.47% vs. 0.53 and 0.39%, respectively), 2 levels of lactose at pressing (2.4 vs. 0.78%), and 2 levels of S/M (6.4 vs. 4.8%) were manufactured. The cheeses were analyzed for changes in pH 4.6-soluble N, and starter and NSLAB counts during 48 wk of ripening. Cheeses at d 1 were also analyzed for residual chymosin, plasmin, and plasminogen activity. A significant increase in soluble N was observed during ripening for all the treatments. Cheeses with low Ca and P, low lactose, and low S/M treatments exhibited higher levels of proteolysis as compared to their corresponding high treatments. Differences in the rate of proteolysis for cheeses with different levels of Ca and P might be due to changes in protein conformation and differences in residual chymosin in the cheeses. Cheeses with low Ca and P were manufactured by lowering the pH at set and drain, which led to higher chymosin retention in cheeses with low Ca and P compared with high Ca and P. Differences in proteolysis between treatments with different levels of lactose were also partly attributed to residual chymosin activity. In all treatments, a major fraction of plasmin existed as plasminogen, indicating minimal contribution of plasmin to proteolysis in Cheddar cheeses. The number of starter bacteria, in all treatments, decreased significantly during ripening. However, the decrease was larger in the case of high S/M treatments compared with low S/M treatments. In contrast, the number of NSLAB increased during ripening, and low S/M cheeses had higher counts compared with high S/M cheeses. The differences in proteolysis due to S/M were partially attributed to changes in protein conformation or bacterial proteolytic activity.
Key Words: proteolysis chymosin plasmin lactic acid bacteria
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INTRODUCTION
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Proteolysis during ripening of Cheddar cheese is important for its flavor and texture development. The formation of peptides and free amino acids during ripening contributes to the flavor either directly or by acting as a precursor for other flavor compounds that are formed through transamination, deamination, decarboxylation, desulfuration, and so on (Sousa et al., 2001). In addition, proteolysis contributes to softening of the cheese texture during ripening as a consequence of the breakdown of intact casein into polypeptides and smaller water-soluble peptides that do not contribute to the protein matrix. However, under certain circumstances, proteolysis can lead to formation of bitter peptides that result in undesirable bitterness in Cheddar cheese (Stadhouders, 1962). This warrants a control on the factors that influence proteolysis in Cheddar cheese. The proteolytic process in Cheddar cheese is catalyzed by enzymes from milk (plasmin, cathepsin D, somatic cell proteinases), coagulant (chymosin, pepsin, or other fungal-derived coagulants), starter and nonstarter lactic acid bacteria (NSLAB), or exogenous enzymes added to accelerate ripening (Fox and McSweeney, 1996). We hypothesize that Ca and P, residual lactose, and salt-to-moisture ratio (S/M) influence proteolysis in Cheddar cheese by influencing one or more of the above mentioned factors.
Calcium and P contribute to casein micellar structure and removal of Ca and P from caseins causes disaggregation of casein micelles (Hsu and Shipe, 1986). This disaggregation exposes a larger surface area of proteins to proteinases and leads to an increase in enzymesubstrate interactions. Therefore, cheeses with decreased Ca and P exhibit higher proteolysis (Marcos et al., 1976; Lawrence et al., 1987). However, studies that investigate the influence of Ca on proteolysis in cheese generally use modifications in set and drain pH to obtain cheeses with different levels of Ca. These modifications also control the proportion of residual chymosin in the cheese (Stadhouders, 1962; Holmes et al., 1977). A higher level of chymosin will obviously increase the rate of proteolysis. In addition, Lawrence et al. (1987) proposed that pH at draining influences plasmin retention in cheese. However, Farkye and Fox (1990) did not observe any influence of drain pH on residual plasmin activity in cheese.
Relatively few studies have reported the influence of lactose content of cheeses on proteolysis during ripening. Residual lactose content influences the extent of acid production in cheese and should influence bacterial growth and pH-dependent activity of enzymes. Shakeel-Ur-Rehman et al. (2004) demonstrated that cheeses with higher lactose had lower total amino acids concentration after 180 d of ripening. Peichevski and Petrova (1979) reported that washing of cheese curds using water up to 20% before scalding and after cutting increased the biochemical processes in Vitosha cheese. An increase in proteolysis in washed curd cheeses was also observed by Stadhouders (1962), who attributed it to a higher retention of chymosin in these cheeses.
The S/M of cheese markedly influences its rate of proteolysis (Marcos et al., 1976; Thomas and Pearce, 1981; Lane and Fox, 1999). A lower S/M increases proteolysis of
S1- and ß-casein (Thomas and Pearce, 1981; Schroeder et al., 1988; Lane and Fox, 1999). Grufferty and Fox (1988) found that the addition of NaCl to milk caused a release of plasmin from casein micelles. Therefore, a higher rate of salting may lower plasmin retention in cheese, and should decrease the extent or rate of proteolysis. In addition, S/M influences water activity (aw) of cheese (Marcos et al., 1981) and therefore influences growth and protein metabolism of starter or NSLAB (Dawson and Feagan, 1957). The aw of cheese can also modify the activity of other proteolytic enzymes present in cheese.
Although the above mentioned studies investigated the influence of one or more factors on proteolysis in cheese or model systems, no study, to our knowledge, has examined influence of all the 3 factors in unison. The objective of this study was to investigate the concomitant influence of Ca and P, residual lactose, and S/M on proteolysis in Cheddar cheese through its influence on indigenous milk enzymes (plasmin) and externally added milk-clotting enzymes (chymosin), and number of live starter and NSLAB.
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MATERIALS AND METHODS
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Experimental Design
Three replicates of Cheddar cheeses with 2 levels (high and low) of Ca and P, residual lactose, and salt-to-moisture ratio (S/M) were manufactured. The 8 different treatments were high Ca and Phigh lactosehigh S/M (HHH); high Ca and Phigh lactoselow S/M (HHL); high Ca and Plow lactosehigh S/M (HLH); high Ca and Plow lactoselow S/M (HLL); low Ca and Phigh lactosehigh S/M (LHH); low Ca and Phigh lactoselow S/M (LHL); low Ca and Plow lactosehigh S/M (LLH); and low Ca and Plow lactoselow S/M (LLL). A detailed description of cheese manufacturing protocols followed to obtain the desired cheese composition is discussed in a companion article (Upreti and Metzger, 2006). Average chemical composition of the 8 cheeses is shown in Table 1
. The cheeses were ripened for 48 wk, and changes in starter and NSLAB counts, and pH 4.6-soluble N were monitored during ripening. Cheeses at d 1 were also analyzed for residual activity of chymosin, plasmin, and plasminogen.
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Table 1. Average chemical composition of cheeses expressed as percentage by weight of cheese (mean of 3 replicates)
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Proteolysis in Cheeses During Ripening
In our study, we have characterized proteolysis by measuring pH 4.6-soluble N and results have been reported as soluble N (as a percentage of total N). The pH 4.6-soluble N is an index of proteolysis, and measures the amount of casein that has been hydrolyzed and cannot be precipitated at pH 4.6 as per the definition of caseins (Sousa et al., 2001). The pH 4.6-soluble N in cheeses was measured at d 1, and wk 2, 4, 8, 16, 32, and 48 by using a Dumas-based rapid method (Lehtola and Metzger, 2004), with slight modifications. In this method, approximately 0.17 g of cheese was weighed in a 1.5-mL microcentrifuge tube (Fisher Scientific, Fairlawn, NJ), and mixed with 1 mL of pH 4.6 Sharps solution (Bynum and Barbano, 1985). The cheese was thoroughly dispersed in the buffer solution using a bead-blaster (Mini-Beadbeater, Biospec Products, Bartlesville, OK) at 5,000 rpm for 2 min. The cheese/buffer mixture was then left undisturbed for 30 min at room temperature. The mixture was centrifuged for 10 min using a single-speed (15,000 rpm) Microfuge E centrifuge (Beckman Instruments, Inc., Palo Alto, CA). The separated fat layer at the top was removed using a spatula, and discarded. The fat adhering to the walls of the microcentrifuge tubes was also removed using a cotton tip (PSS Select cotton-tipped applicator, Jacksonville, FL). The supernatant was discarded and an additional 1 mL of Sharps solution was added to the pellet. The pellet was again thoroughly dispersed in the solution using the bead-blaster at 5,000 rpm for 1 min. The solution was subsequently left undisturbed for 30 min at room temperature. The mixture was again centrifuged at 15,000 rpm for 10 min, and residual fat was removed and the supernatant was discarded. The whole pellet was transferred to a tin foil cup (Leco Corporation, St. Joseph, MI), and weighed. The tin foil containing the pellet was used for measuring total N using the Dumas combustion method (Leco Tru Spec N analyzer, Leco, St. Joseph, MI; Wiles et al., 1998). The pH 4.6-soluble N content in the cheese was calculated using the following equation:
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Microbiological Analyses
Starter bacteria and NSLAB counts were measured in cheese curds before salting, and cheeses at d 1, and wk 4, 8, 16, 32, and 48. Starter count was analyzed using Bacto-Elliker agar (Difco Elliker broth, Becton, Dickinson and Company, Sparks, MD) and NSLAB using LBS agar (adjusted to pH 5.4 using glacial acetic acid). A 10-g sample of cheese was homogenized with 90 mL of 2% trisodium citrate buffer for 2 min using a stomacher (Colworth Stomacher 400, AJ Seward, London, UK) at room temperature. Serial dilutions were prepared using 2% sodium citrate buffer and samples were inoculated into sterile disposable Petri plates and pour-plated with respective media. The plates were then incubated at 32°C for 48 h, under aerobic conditions for starter bacteria; and anaerobically (BBL Gas-Pak Anaerobic System; Becton, Dickinson) for NSLAB. In addition, cheeses were analyzed to identify the type of lactococci present; that is, Lactococcus lactis ssp. lactis vs. Lactococcus lactis ssp. cremoris. To identify the presence of cremoris vs. lactis, the cheese dilutions were plated on Bacto-Elliker agar, and incubated at different temperatures (30 and 40°C). The presence of similar number of colonies of starter bacteria in the plates incubated at 30 and 40°C indicated that the starter bacteria used was primarily L. lactis ssp. lactis, which can grow at both temperatures (Sandine et al., 1972). The possibility of contamination of these plates with NSLAB (lactobacilli) was checked by morphological (cocci vs. rods) examination of cells from the various colonies using a microscope.
Residual Chymosin Activity
Residual chymosin activity in cheeses at d 1 was determined by using a method similar to that of Hurley et al. (1999). In this procedure, approximately 1 g of cheese was homogenized with 20 mL of 0.1 M trisodium citrate using a high-shear Omni mixer-homogenizer (model 17105, Omni International, Waterbury, CT). About 210 µL of cheese homogenate was transferred to a 1.5-mL microcentrifuge tube (Fisher Scientific), and mixed with 90 µL of 1 mg/mL aqueous solution of synthetic heptapeptide substrate (Pro-Thr-Glu-Phe-[NO2-Phe]-Arg-Leu, Bachem Bioscience Inc., King of Prussia, PA). To this mixture, 600 µL of 100 mM sodium formate buffer (containing 0.05% sodium azide, adjusted to pH 3.2) was also added. The microcentrifuge tubes were then incubated at 37°C for 24 h. The reaction was terminated by heating the tubes at 70°C for 10 min using a heating block (Temp-Blok Equatherm, Laboratory-Line Instruments, Inc., Melrose Park, IL). The tubes were then centrifuged (Biofuge 15, Heraeus Sepatech GmbH, West Germany) at 16,000 x g for 10 min to remove the precipitated proteins and other insoluble matter. The supernatant was filtered through 0.22-µm syringe filters (Millex-GV, Millipore Corporation, Bedford, MA) and 175 µL of the filtrate was injected into the HPLC. The conditions for HPLC analysis were similar to those suggested by Hurley et al. (1999).
Peak areas of the product were used for quantifying the residual activity of chymosin in the cheeses. Results for chymosin activity were expressed in terms of International Milk Clotting Units (IMCU) per gram using a standard curve. The standard curve was prepared using appropriate dilutions of double-strength chymosin (Chymax, Chr. Hansen, Inc., Milwaukee, WI), which had an activity of 976 IMCU/mL.
Residual Plasmin and Plasminogen Activity
Residual plasmin and plasminogen activity in cheeses at d 1 were measured using a method described by Fajardo-Lira et al. (2000).
Statistical Analyses
A 2 x 2 x 2 factorial model with 3 replications was used for statistical analysis (Table 2
). Changes in starter and NSLAB counts, and pH 4.6 soluble N during ripening were analyzed using a repeated measures design. The PROC GLM procedure of SAS, which involved 3 factors (Ca and P, residual lactose, and S/M) as class variables, was used for the data analyses (SAS Institute, 1990).
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Table 2. Mean squares and probabilities (in parentheses) of differences in chymosin, plasmin, and plasminogen in cheeses at d 1
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RESULTS AND DISCUSSION
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Residual Chymosin Activity
Residual chymosin activity at d 1 was significantly (P < 0.05) affected by Ca and P (Table 2
). Cheeses with high Ca and P had a mean residual chymosin activity of 0.26 IMCU/g, which corresponded to about 26% of the total chymosin added to the milk during cheese manufacture (Table 3
). In contrast, cheeses with low Ca and P had a residual chymosin activity of 0.40 IMCU/g that corresponded to about 41% of the total chymosin added to the milk during cheese manufacture (Table 3
). Previous researchers have reported that about 6 to 7% of the chymosin added to the milk is retained in the curd (Holmes et al., 1977). These differences in absolute values of chymosin retention can be attributed to use of different analytical methods to quantify residual chymosin. Our results, however, are similar to those of Nelson (2005), who used a similar method for analyzing cheeses for residual chymosin activity.
The differences in residual chymosin activity between high vs. low Ca and P treatments can be attributed to the modifications in set and drain pH that were used to obtain cheeses with different Ca and P content. Cheeses with low Ca and P had a lower set and drain pH (6.2 and 5.7, respectively), compared with cheeses with high Ca and P (6.6 and 6.4, respectively), and hence had higher chymosin associated with the cheese curds. A similar effect of pH on partitioning of chymosin between the curd and whey has been observed by other researchers (Stadhouders, 1962; Holmes et al., 1977; Lawrence et al., 1987). Holmes et al. (1977) observed that at pH 6.6, 31% of the rennet activity was in the curd and 72% in the whey, whereas at pH 5.2, 86% of the rennet activity was in the curd and 17% in the whey.
Residual Plasmin and Plasminogen Activity
The plasmin content of the cheeses was significantly (P < 0.05) influenced by Ca and P; and marginally (P = 0.06) by lactose (Table 2
). Mean plasmin content in our cheeses ranged from 0.007 to 0.013 µg/mg of cheese (Table 3
), with higher plasmin concentration in the high Ca and P treatments than in the low Ca and P treatments. The plasminogen content of the cheeses was also significantly (P < 0.05) influenced by Ca and P; with high Ca and P treatments having higher plasminogen concentration as compared with the low Ca and P treatments. The mean plasminogen content of the cheeses ranged from 0.21 to 0.35 µg/mg of cheese (Table 3
).
The differences in residual plasmin and plasminogen content between high vs. low Ca and P treatments can be attributed to the higher set and drain pH used in the high Ca and P treatments. The influence of drain pH on plasmin retention has also been suggested by Lawrence et al. (1987). They proposed that the higher plasmin activity in Swiss-type cheeses, compared with Cheddar cheeses, is related to the higher drain pH. However, Farkye and Fox (1990) did not observe an effect of drain pH on plasmin retention in Cheddar cheeses.
Our results show that there is a lower concentration of plasmin compared with plasminogen in the cheeses (Table 3
). This could be due to the presence of active inhibitors of plasminogen activators in milk, which were still active in Cheddar cheese. In contrast, manufacture of Swiss or Mozzarella-type cheeses involves extreme heat treatment, which can inactivate inhibitors of plasminogen activators, which increases plasmin activity in Swiss or Mozzarella-type cheeses (Bastian and Brown, 1996).
Starter Counts During Ripening
Average starter counts were significantly (P < 0.05) influenced by Ca and P and time, whereas the interaction of time x S/M was marginally (P = 0.06) significant (Table 4
). As shown in Figure 1
, the number of starter bacteria in all treatments decreased during ripening. However the decrease was slightly larger in the high S/M treatments compared with their low S/M counterparts. Cheeses with high Ca and P had lower number of starter bacteria throughout ripening compared with their low Ca and P counterparts (HHH vs. LHH, HHL vs. LHL, HLH vs. LLH, and HLL vs. LLL).
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Table 4. Mean squares and probabilities (in parentheses) of changes in starter and nonstarter lactic acid bacteria (NSLAB) counts, and soluble N (as % of total N) in Cheddar cheese during storage at 6 to 8°C for 48 wk.
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Figure 1. Changes in starter () and nonstarter ( ) lactic acid bacteria counts during ripening of the 8 cheeses (mean of 3 replicates). Treatments: HHH = high Ca and P, high lactose, and high salt-to-moisture (S/M); HHL = high Ca and P, high lactose, and low S/M; HLH = high Ca and P, low lactose, and high S/M; HLL = high Ca and P, low lactose, and low S/M; LHH = low Ca and P, high lactose, and high S/M; LHL = low Ca and P, high lactose, and low S/M; LLH = low Ca and P, low lactose, and high S/M; LLL = low Ca and P, low lactose, and low S/M. Data for cheese curds before salting are not shown.
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The lower starter count in high vs. low Ca and P cheeses was surprising, because a higher level of starter inoculum was added during manufacture of high Ca and P cheeses compared with low Ca and P cheeses (54 vs. 27 mL/100 kg; Upreti and Metzger, 2006). A lower number of starter bacteria in high Ca and P cheeses than in low Ca and P cheeses could be due to shorter cheese manufacturing time for high Ca and P cheeses, although the exact reasons are not known. A decrease in starter counts during ripening is expected due to unfavorable growth conditions in cheese (Dawson and Feagan, 1957; Sandine et al., 1972), and has been observed by others (Dawson and Feagan, 1957; Mistry and Kasperson, 1998; Broadbent et al., 2003). The differences between the high S/M and low S/M treatments are not surprising because S/M directly influences aw and ionic strength (Marcos et al., 1981), which are key determinants for growth of lactococci. However, the ability of starter bacteria to survive under the given conditions differs from strain to strain. Strains of Lactococcus lactis ssp. lactis are more salt-tolerant than Lactococcus lactis ssp. cremoris (Dawson and Feagan, 1957; Sandine et al., 1972). Although we identified L. lactis ssp. lactis in our cheeses, our results indicate that its population decreased during ripening even in a cheese with a lower S/M of 4.5. However, a larger decrease of L. lactis ssp. lactis in cheeses with high (i.e., 6.4%) vs. low (i.e., 4.5%) S/M indicates its ability to survive in higher numbers at low S/M compared with high S/M. A rapid decrease of starter population in high S/M compared with low S/M cheeses has been observed by other researchers (Schroeder et al., 1988; Mistry and Kasperson, 1998).
Our results indicate that a significant number of starter bacteria (~106 cfu/g) were still present in Cheddar cheese at the end of 48 wk of ripening. Similar levels of viable starter counts have been observed by other researchers (Dawson and Feagan, 1957; Broadbent et al., 2003). The presence of starter bacteria at high levels that are comparable with NSLAB during cheese ripening, even at 48 wk, indicates their possible role in influencing cheese characteristics during ripening. Although lysis of dead starter bacterial cells is known to contribute to proteolysis in cheese, the potential contribution from surviving starter bacteria cannot be ignored.
NSLAB Counts During Ripening
Nonstarter lactic acid bacteria counts in cheeses were significantly (P < 0.05) affected by time, and the interaction of time x S/M; and marginally (P = 0.08) influenced by Ca and P (Table 4
). As shown in Figure 1
, the number of NSLAB in cheese at the beginning of ripening was low and gradually increased during ripening. The rate of increase of NSLAB population in cheese during ripening was influenced by S/M. As is apparent from Figure 1
, cheeses with low S/M showed a larger increase in NSLAB counts compared with their high S/M counterparts (HHH vs. HHL, HLH vs. HLL, LHH vs. LHL, LLH vs. LLL). An increase in the number of NSLAB in Cheddar cheese during ripening is expected because of their ability to grow under cheese ripening conditions (Mistry and Kasperson, 1998; Crow et al., 2001; Broadbent et al., 2003). A larger increase in NSLAB for low S/M treatments might be due to a more conducive growth environment in terms of ionic strength and aw in cheeses with low S/M compared with high S/M. A similar effect of salt content on growth of L. helveticus was observed by Roy (1991).
As shown in Figure 1
, there was substantial variability among the replicates for NSLAB counts. This variation signifies that the occurrence and growth of NSLAB in cheese is largely contributed by the initial bacterial load of milk, and adventitious bacterial contamination of milk during cheese manufacture, yet the growth and selection of NSLAB in cheeses will be influenced by the conditions prevailing in the cheese including its chemical composition. Similar observations have been made by Crow et al. (2001), and a recent study by Broadbent et al. (2003) compared growth of adjunct bacteria in a Cheddar and Colby-type cheese microenvironment. They observed a greater degree of species heterogeneity in Colby cheeses compared with Cheddar cheeses.
Changes in pH 4.6-Soluble N during Ripening
Changes in pH 4.6-soluble N in cheeses were significantly (P < 0.05) influenced by Ca and P, residual lactose, S/M, time, and the interactions of time x Ca and P, time x lactose, and time x S/M (Table 4
). The level of soluble N increased in all treatments during ripening, leading to a 3- to 5-fold increase in soluble N by the end of ripening (Figure 2
). This increase was largest in early ripening (until 16 wk), after which the increase was smaller. The level of pH 4.6-soluble N is an index of primary proteolysis in cheese. Primary proteolysis is more prominent during the first few weeks of ripening and involves hydrolysis of caseins by residual chymosin, and to a lesser extent by plasmin, resulting in the formation of large and intermediate-sized peptides. Subsequent hydrolysis of these peptides by chymosin and enzymes from the starter and NSLAB results in the formation of smaller peptides and free amino acids during prolonged ripening and does not significantly influence pH 4.6-soluble N (Fox and McSweeney, 1996; Sousa et al., 2001). Hence, larger changes in pH 4.6-soluble N are observed during the initial stages of ripening compared with the later stages of ripening.

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Figure 2. Changes in pH 4.6-soluble N (as a % of total N) during ripening of the 8 cheeses (mean of 3 replicates). Treatments: HHH = high Ca and P, high lactose, and high salt-to-moisture (S/M); HHL = high Ca and P, high lactose, and low S/M; HLH = high Ca and P, low lactose, and high S/M; HLL = high Ca and P, low lactose, and low S/M; LHH = low Ca and P, high lactose, and high S/M; LHL = low Ca and P, high lactose, and low S/M; LLH = low Ca and P, low lactose, and high S/M; LLL = low Ca and P, low lactose, and low S/M.
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Effect of Ca and P.
Cheeses with low Ca and P had a higher (P < 0.05) level of proteolysis than their corresponding high Ca and P treatments (LHH vs. HHH, LHL vs. HHL, LLH vs. HLH, LLL vs. HLL). In addition, the significant (P < 0.05) time x Ca and P interaction indicates that the rate of proteolysis was different in the low Ca and P cheeses compared with the high Ca and P cheeses (Figure 2
). A similar effect of Ca and P on proteolysis in cheeses has been observed by other researchers (Marcos et al., 1976; Hsu and Shipe, 1986; Lawrence et al., 1987). The observed differences may be attributed to differences in residual chymosin activity or the state of the paracasein network in low Ca and P cheeses. Treatments with low Ca and P had a higher level of residual chymosin activity (Table 3
) compared with treatments with high Ca and P. A higher level of chymosin would be expected to increase the rate of proteolysis. In addition, colloidal calcium phosphate acts as a cementing material within casein micelles (Hsu and Shipe, 1986). Depletion of the colloidal calcium phosphates from milk to obtain low Ca and P cheeses may also result in a reduction in Ca and P crosslinking in the paracasein network of cheese. A reduction in crosslinking may expose a larger surface area of proteins to proteinases and may lead to an increase in enzymesubstrate interactions, and in proteolysis. In addition, differences in moisture content between high and low Ca and P cheeses (Table 1
) might have a partial influence on proteolysis in cheeses.
In contrast to chymosin, plasmin activity was higher (P < 0.05) in the high Ca and P treatments than in low Ca and P treatments (Table 2
). However, the influence of high plasmin activity on proteolysis of high Ca and P cheeses was not apparent. This can be attributed to the relatively low proteolytic activity of plasmin compared with chymosin in Cheddar cheese. The low plasmin activity in Cheddar cheese is thought to be due to the presence of inhibitors of plasminogen activators in Cheddar cheese. The presence of inhibitors will prevent the conversion of plasminogen to its active form, plasmin, which can cause proteolysis (Bastian and Brown, 1996). This is also supported by the fact that a major fraction of plasminogen in our cheeses still existed as plasminogen, and was not converted to its active form (Table 3
).
Effect of Residual Lactose.
Cheeses with low lactose exhibited more proteolysis than cheeses with high lactose (P < 0.05). In addition, a significant interaction effect of time with lactose (P < 0.05) indicates that the rate of change of pH 4.6-soluble N was different in cheeses with low lactose compared with high lactose (Figure 2
). A similar effect of lactose on proteolysis was observed by Shakeel-Ur-Rehman et al. (2004) and Stadhouders (1962). Stadhouders (1962) observed that cheeses that were manufactured by washing the curds for 20 min had about 1.7 times more rennet than the cheeses that were not washed. The modifications used in our study to manufacture cheeses with different levels of lactose also showed partial influence on residual chymosin activity (Table 2
), with low lactose treatments having higher chymosin activity compared with high lactose treatments (Table 2
). These differences in residual chymosin might have partially influenced proteolysis in cheeses with high vs. low lactose. However, a complete explanation for differences in proteolysis between high vs. low lactose cheeses is not known. These differences in proteolysis can be partially related to differences in moisture between low and high lactose treatments (Table 1
).
Effect of S/M.
Cheeses with a low S/M exhibited higher proteolysis compared with cheeses with high S/M (P < 0.05). In addition, the significance of the interaction effect of time x S/M (P < 0.05) indicates that the rate of proteolysis was different in the low S/M cheese compared with their high S/M counterparts. A similar influence of S/M on proteolysis has been observed by other researchers (Marcos et al., 1976; Thomas and Pearce, 1981; Mistry and Kasperson, 1998; Lane and Fox, 1999).
The differences in proteolysis due to S/M can be attributed to changes in protein conformation, or bacterial proteolytic activity. Varying the salt content in cheese influences the ionic strength and may result in conformational changes not only in the enzymes responsible for proteolysis but also in the caseins, which are hydrolyzed (Kristiansen et al., 1999). In aqueous solutions, salt in low concentrations reduced the ability of chymosin to degrade ß-casein, but did not reduce its ability to degrade
S1-casein (Kristiansen et al., 1999). Similarly, Thomas and Pearce (1981) observed that a change in S/M in Cheddar cheese from 4 to 8% increased the level of unhydrolyzed
S1-casein content from 5 to 60% at 1 mo of ripening at 10°C, whereas the level of unhydrolyzed ß-casein increased from 50 to 95%. Cheeses with a low S/M also supported a higher population of starter bacteria and exhibited a more rapid increase in NSLAB counts during ripening. This indicates that cheeses with high S/M had lower activity of lactic acid bacteria compared with low S/M cheeses. A lower bacterial proteolytic activity might have contributed to the lower levels of proteolysis in high S/M cheeses. Gobbetti et al. (1999) also reported that increasing NaCl from 2.5 to 7.5% had a negative effect on the proteinase activity of cetrain lactococcus strains, and attributed it to a decrease in aw.
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CONCLUSIONS
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The present study demonstrates that Ca and P, residual lactose, and S/M influence overall proteolysis in Cheddar cheese. The differences in proteolysis between treatments were attributed to differences in protein conformation, residual chymosin activity, and lactic acid bacteria activity. Our results verify that changes in set/drain pH influence the residual chymosin activity in cheeses, which can influence proteolysis. Our experiments also indicate that an increase in set/drain pH leads to higher plasmin retention. However, a major fraction of plasmin remained in its inactive (plasminogen) form, suggesting a minimal role of plasmin in proteolysis in Cheddar cheeses. In our study, the largest change in pH 4.6-soluble N occurred during the first 16 wk of ripening, after which the increase was small. The observed differences in proteolysis are not only important for Cheddar cheese manufacturers for proper flavor and texture development, but also for process cheese manufacturers, who use natural cheeses as ingredients for process cheeses.
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ACKNOWLEDGEMENTS
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We thank Dairy Management, Inc. (Rosemont, IL) and Midwest Dairy Association (St. Paul, MN) for funding this project.
Received for publication August 15, 2005.
Accepted for publication September 26, 2005.
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REFERENCES
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