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* Western Dairy Center Department of Nutrition and Food Sciences Utah State University, Logan 84322-8700
Department of Microbiology Weber State University, Ogden, UT 84408-2506
Corresponding author:
Donald J. McMahon; e-mail:
djm{at}cc.usu.edu.
| ABSTRACT |
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Only small variations were found in the composition of cheeses made during the same season. There were no correlations between moisture, pH, fat, protein, calcium, lactose contents, D/L lactate ratio, or protein degradation that could be used to predict splits after 90 d of storage. However, cheese made in the summer had 2% higher moisture content and a greater prevalence of splits. There was a sixfold increase in amount of downgraded cheese between the best and worst culture combinations used during cheese manufacture. After 90-d storage, 14 to 90% of cheese had splits in the summer, and 1 to 6% in the winter. Split formation increased with time from 60 to 120 d of storage and extent of split formation was influenced by both the lactobacilli and propionibacteria cultures used.
Key Words: nonstarter lactic acid bacteria moisture crack
Abbreviation key: L1, L2 = strains of L. helveticus starter culture used, P1, P2 = strains of P. freudenreichii ssp. shermanii starter culture used.
| INTRODUCTION |
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In the manufacture of Swiss cheese, two major bacterial fermentations occur. The first is the conversion of lactose to lactic acid by lactic acid bacteria during the early stages of manufacture (from coagulum set to brining or pre-cooling). Streptococcus thermophilus and Lactobacillus helveticus are the most common combination of lactic acid bacteria starters used in Swiss cheese production. The S. thermophilus culture serves as the initial and primary lactic acid producer (Steffen et al., 1993). The L. helveticus culture acts as a secondary acid-producer to help control cheese pH, as well as causing proteolysis in the later stages of ripening and contributing to formation of specific flavor compounds (Palma et al., 1987). Under normal vat conditions, D and/or L-lactic acid are essentially the only end-products of lactose fermentation from the time the starter is added until 18 to 24 h later before brining (Salminen and Wright, 1998).
The second major bacterial fermentation during Swiss cheese manufacture is the conversion of D and L-lactate to propionate, acetate, and CO2 by propionibacteria during cheese storage in the warm room (at 20 to 25°C) (Steffen et al., 1993). In Swiss-type cheese, Propionibacterium freudenreichii is the most widely used species of propionibacteria (Gautier et al., 1995), and it will utilize L-lactate preferentially over D-lactate because L-lactate metabolism results in the production of a high intracellular pyruvate concentration, which has a strong inhibitory effect on D-lactate dehydrogenase activity (Langsrud and Reinbold, 1973; Pivateau et al., 1995; Thierry et al., 1999). Propionic acid contributes to the flavor of Swiss cheese, while the carbon dioxide produced is responsible for eye formation.
A pliable curd mass is necessary for development of round eyes rather than slits or cracks. For example, an elastic protein network bends or gives as carbon dioxide accumulates, but does not break, forming an eye. On the other hand, if the protein network is too rigid, it cannot withstand the pressure, and a split (or slit) will form. Pliability (elasticity) of cheese is a function of protein density, temperature, and cheese physiochemistry (Johnson, 2001; Mocquot, 1979). Hydration of the casein molecules, calcium-phosphate bonding, and electrostatic and hydrophobic interactions between casein molecules can all influence cheese elasticity. Thus, acid development during cheese making must be tightly controlled as cheese physiochemistry has potentially more impact on suitability of the cheese for eye formation than does proteolysis.
The temperature at which cheese is stored affects growth of the propionibacteria as well as the elasticity of the protein network. The warmer the cheese, the more elastic the protein. The rate of gas development is also critical for eye formation. If gas develops too rapidly, the casein network may not be able to yield to the increased gas pressure and splits will form. If gas forms too slowly, the cheese may become under-set, resulting in small eyes or blind cheese (no eyes). Problems can also occur if cheese makers leave cheese in the warm room too long, resulting in over-set cheese (large eyes).
Formation of splits has been attributed to a wide variety of causes and interactions. These include: starter or nonstarter propionibacteria that produce gas at the cold room temperatures of 4 to 7°C (Park et al., 1967; Hettinga et al., 1974), cheese elasticity in relation to proteolysis (Johnson, 2001), starter or nonstarter lactic acid bacteria metabolite stimulation of propionibacteria (Thierry et al., 1999), and the presence and germination of Clostridium tyrobutyricum spores (Dasgupta and Hull, 1989; Steffen et al., 1993). Low quality silage (e.g., silage with high spore count and high pH) used during winter is the most probable source of clostridial contamination in milk.
Thus, split defect in Swiss cheese may be caused by any one, or a combination of, the causes noted above. The objectives of this study were to determine whether different combinations of L. helveticus and P. freudenreichii ssp. shermanii starter bacteria have an effect on the number of splits appearing in Swiss cheese after 60 and 90 d of storage. In addition, we wanted to determine whether there are differences between split and normal cheeses with regards to cheese physiochemistry (moisture, fat, protein, calcium D/L lactate, lactose, proteolytic breakdown during storage) and cheese microbiology (changes in cheese starter and nonstarter bacteria populations in cheese during storage) that could be used to predict the likelihood of split formation during cheese storage.
| MATERIALS AND METHODS |
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Cheese Manufacture
Cheese was manufactured by a commercial cheese manufacturer using the traditional rindless block procedure as described by Reinbold (1972). Milk was standardized to 3% fat, heat-treated and 5400 kg of milk at 34°C was pumped into each double-O cheese vat (Damrow DEC International, Fond du Lac, WI). The culture combinations (L1P1, L1P2, L2P1, L2P2), plus S. thermophilus starter were added at inoculum levels based on the manufacturers recommendation as the milk was pumped into the vats. Inoculated milk was ripened for 45 min and then set with 285 ml of Sure Curd (Cryphonectria parasitica) coagulant (Pfizer, Inc., Milwaukee, WI) diluted in 2 L of water. After 30 min, the curd was cut and allowed to heal for 40 min. The curd was cooked to 49°C over 30 min then held at 49°C for approximately 45 min. The whey and curd were pumped to the universal vats, then whey was drained and the curd was pressed for 18 h. The cheese was cut into five 90-kg blocks per universal, brined for 24, then air-dried and vacuum packed, and placed in a 4°C precool room. On d 7, the blocks were placed in a 21°C warm room for eye development. After approximately 21 d in the warm room, the cheeses were examined, and if eye development was adequate, the cheese was transferred to cold storage (4°C). Ripening time in the warm room ranged from 24 to 30 d. Each 90-kg block of cheese was then cut into 4-kg "retail" blocks. These 4-kg blocks were inspected as they passed along the cutting line and graded according to company procedures as being either "A" grade if no splitting (or insignificant splitting) was present or downgraded to "C" grade if the cheese blocks contained splits.
Sampling
Cheese was sampled at d 1 (before brine), 7 (before warm room), d 28 (before finishing-cooler), d 60, 90, and 120. Microbial analysis was conducted at each sampling point; pH was measured on d 1, 7 and 28, whereas the remaining samples were frozen and stored for chemical analysis. Fat, protein, moisture, calcium, D/L lactate ratios, and lactose were determined from d-1 samples.
Cheese Composition
Cheese pH was measured using the gold electrode/quinhydrone method (Marshall, 1992). Moisture, fat, and protein were determined using near infrared light absorption (Instalab 600 NIR Product Analyzer, Dicky-John, Auburn, IL). Calcium was determined using inductively coupled plasma atomic emission spectroscopy. Lactic acid isomers D and L were determined enzymically (cat. no. 1128211, Boehringer Mannheim, Indianapolis, IN). Residual sugar (lactose and galactose) was determined enzymically (cat. no. 176303, Boehringer Mannheim, Indianapolis, IN).
Proteolysis
Proteolysis was measured using capillary electrophoresis (PACE 2100 system, Beckman Instruments, Inc., Fullerton, CA) according to the method of Strickland et al. (2001). Peak areas were used for calculating the extent of hydrolysis of intact
s1-casein and ß-casein. The water-soluble peptide fraction of casein hydrolysis was determined with 12% TCA-soluble nitrogen as described by Butikofer et al. (1993) and Polychroniadou et al. (1999).
Microbiological Analysis
Esculin cellobiose agar was used to differentiate Lactobacillus, Pediococcus, and Streptococcus species at 1, 7, 28, 60, and 90 d, based on colony morphology, color, and diameter according to the method of Hunger (1986). Plates were incubated anaerobically at 40°C for 48 h in gas pack jars. Duplicates of like colonies from d-7 sampling were isolated and analyzed using the API 50 identification method (BioMerieux, Lombard, IL) for presumptive species classification. Enumeration of total lactic acid bacteria was determined by the pour plate method with MRS agar (DeMan et al., 1960). Enumeration of streptococci in cheeses made during the winter was performed using M-17 agar (Terzaghi and Sandine, 1975).
Statistical Analysis
The data were analyzed as a 2 x 2 x 2 factorial with two seasons (summer, winter) and four treatments incorporating two L. helveticus and two P. freudenreichii ssp. shermanii cultures in duplicate for each season. Statistical analysis (PROC MIXED) was performed using SAS version 8 (SAS Inst., Inc., Cary, NC). Contrasts were used for d-90 data in order to overcome the effects of missing winter L2P2-treatment combination cheeses. Covariance analysis was applied to account for any differences in composition during manufacture. Means were compared using differences of least squares means with Tukey-Kramer honest significant difference adjustments. Pearson correlation coefficients (PROC CORR) were obtained to investigate possible linear correlations between the grade of the cheese at 90 d and the compositional or proteolytic profiles of the treatments. Significance was declared at P
0.05.
| RESULTS AND DISCUSSION |
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Proteolysis
Examples of capillary electropherograms of Swiss cheese at 1, 7, 28, and 90 d are shown in Figure 1
. Clear separation of peaks was obtained and peaks corresponding to
s1-casein and ß-casein (A1 and A2),
s1-casein (f 123), and
s1-casein (f 24199) were identified by coelution with pure standards. Presumptive identification of other peaks in the electropherograms were made for
s1-casein 9P and ß-casein B based on Reicio et al. (1997) and Otte et al. (1999). Only the
s1-casein and ß-casein (A1 and A2) peaks were included in calculations for protein hydrolysis. Similar proteolysis patterns were observed for all of the cheeses. The amounts of intact
s1- and ß-casein decreased at a similar rate over time in all of the cheeses (Figure 2
), and formation of
s1-casein (f 24199) was apparent by d 28. There was more overall degradation of
s1-casein and ß-casein in the cheeses made during the summer than cheese made in the winter. This difference was probably because of higher moisture levels in the summer cheeses.
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s1-casein content were season, storage time, and the two-way interactions of season x culture, and season x time (Table 3
s1-casein, when each sampling time was analyzed individually, was season at d 60. However, there was no correlation between extent of
s1-casein hydrolysis and prevalence of splits.
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s1-casein had been hydrolyzed in the summer cheeses, whereas only 10% had been hydrolyzed in the winter cheeses between d 1 (before brine) and d 7 (before warm room) (Figures 3
s1-casein was hydrolyzed during this period, for both winter and summer. It was estimated that another 30 to 35% of the intact
s1-casein had been hydrolyzed during the 28 to 60-d storage period in the cold room (4°C) for both seasons cheeses.
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It was estimated that from d 1 (before brine) until d 7 (before warm room), 16% of the intact ß-casein had been hydrolyzed in the summer cheeses, and 10% in the winter cheeses. An additional 34 and 28% of ß-casein was hydrolyzed in the summer cheeses during d 7 to d 28 of warm room storage for summer and winter cheeses, respectively. Proteolysis continued from d 28 to d 60 of storage in the cold room (4°C) with an additional 27 and 13% of intact ß-casein being hydrolyzed in the summer and winter cheeses. Bastian et al. (1997) showed similar rates of ß-casein degradation with 43% of intact ß-casein being hydrolyzed over a 42-d ripening period.
In cheeses, such as Cheddar and Mozzarella, that use chymosin as the coagulant and have a lower curd/whey cooking temperature, the breakdown of
s1-casein occurs more rapidly than does that of ß-casein (Strickland et al., 2001; Dave et al., 2003). Swiss cheese had earlier been described as an alpha-ripening cheese in which the
s1-casein peak had the greatest rate of disappearance in comparison to ß-casein (Langsrud and Reinbold, 1973). Other research on
s1-casein degradation in Swiss cheese has shown high concentrations of intact
s1-casein remaining after manufacture (Steffen et al., 1993; Fox and McSweeny, 1996), presumably because of inactivation of coagulant during the high cook temperature used in Swiss cheese manufacture. It has been suggested that because of this, indigenous milk enzymes (such as plasmin) are the main contributors to hydrolysis of
s1-casein in Swiss cheese (Fox et al., 1996). However, recent studies (Bastian et al., 1997; Grappin et al., 1999) and our previous observations (unpublished) agree with the observations made during this study, that hydrolysis of intact
s1-casein and ß-casein occurs at similar rates in Swiss cheese manufactured in the United States. The C. parasitica coagulant that is often used for manufacture of Swiss cheese in the United States has increased activity against ß-casein compared to chymosin (Bogenrief and Olsen, 1995; Bastian et al., 1997).
Microbiological Analysis
Total lactic acid bacteria counts on MRS agar, were approximately 108 cfu/g at d 1 for all cheeses. This remained constant for the summer cheese and decreased slightly in the winter cheese to 107 cfu/g. Streptococci (as measured on M17 agar) had an initial population of 108 cfu/g which then decreased to 107 cfu/g by d 7 without any further change during storage. In comté cheese, in which streptococci populations declined slowly over time from 108 to 106 cfu/g during 8 wk of storage and then dropped to 103 cfu/g by 21 wk (Grappin et al., 1999).
When populations of starter and nonstarter bacteria were examined on esculin cellobiose agar, it was observed that starter L. helveticus colonies were easily distinguished by colony morphology from the nonstarter bacteria. The L. helveticus colonies were yellow to light brown, 0.5 to 1.0 mm diameter and filamentous with no surrounding zone. Lactobacillus helveticus dominated total counts at d 1 (around 108 cfu/g) but decreased tenfold to approximately 107 cfu/g by d 7 (Figure 3
). By d 28, numbers of starter lactobacilli had declined to less than 104 cfu/g (the lowest level discernible on the differential agar because of the large non-starter lactobacilli population). The nonstarter population was less than 104 cfu/g at d 1, then increased to 108 cfu/g by d 7, and stayed at that level during further storage. There were no differences in starter and nonstarter numbers between cheeses except that L. helveticus culture L2 appeared to decrease in numbers slightly faster than L1. This switch in lactic acid bacteria population may be due to changing environmental conditions in the cheese that allow the initially inhibited contaminant nonstarters to be most prevalent (Crow et al., 1995; Johnson, 2001).
When grown on esculin cellobiose agar, colonies of nonstarter bacteria had different morphologies than L. helveticus. Using API-typing, the most predominant nonstarter lactic acid bacteria were identified as being Lactobacillus rhamnosus and Lactobacillus paracasei. Not all the colony morphologies were the same as that reported by Hunger (1986). For example, Hunger (1986) reported that colonies of L. rhamnosus on esculin cellobiose agar have a circular and poorly to strongly eroded colony morphology. However, one of the colony types we identified as L. rhamnosus had a circular, undulate (wavy, shallow indentations rather than irregularly notched) morphology, whereas another L. rhamnosus colony had a circular, smooth morphology with a small punctiform in the center of the colony. Also, the API-identified L. paracasei colony had circular, smooth to undulate edges with a punctiform in the center of the colony, and L. paracasei had not previously been reported to grow on Esculin cellobiose agar.
Grading
Individual cultures and the starter culture combinations used during cheese manufacture had significant effects on the cheese grade (Table 4
and 5
) and presence of splits (Figure 5
) after 90 d of storage. The strain of propionibacteria used had the most influence on split formation. This was not unexpected because if chemical composition of the cheese (moisture, fat, protein, pH, calcium) is constant, then formation of splits is primarily dependent on continued gas production by the propionibacteria after the cheese has been cooled. Cheese produced using culture P1 had significantly more splits than cheese made using culture P2. There was also a difference in split formation based on which strain of L. helveticus was used, with culture L2 producing more splits than culture L1. The cause of this difference between L1 and L2 is not known and does not appear to be a function of extent of proteolysis because there were no gross differences in protein breakdown patterns between L1 and L2. It may be that there is a difference in the small peptides and amino acids that are produced by the starter culture peptidases such that L2 provides greater stimulation of the propionibacteria. A more in-depth analysis of the peptide profiles of Swiss cheese during storage may provide an answer to the observed lactobacilli strain effect on split formation.
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Different starter combinations also affected the probability that cheese would be downgraded. In general, starter combinations followed the same trend as the individual starters with combination L2P1 producing the most splits and combination L1P2 the least. At d 90, 90% of the summer cheese made using L2P1 combination contained splits (Table 5
). In contrast, only 14% of the L1P2 cheese blocks were downgraded. Even though less than 6% of the cheese split in the winter, the culture effect was repeatable with L2P1 cheese having the most splits.
Proper selection of both the lactobacilli and propionibacteria starter cultures is an important tool for reducing the prevalence of splits in Swiss cheese. The length of time cheese is held before cutting also influences splits. There were more splits in the cheese as storage time was increased irrespective of the culture used (Figure 6). A total of 48% of the summer cheese blocks had split at d 90 and this increased to 73% by d 120. The winter cheese did not show any splits at d 60, while up to 6% of the cheese had splits at d 90 and d 120.
Statistical analysis was performed to see whether there were any analytical measurements of the cheese that correlated with the prevalence of splits. Some correlations were statistically significant but the correlation coefficients were small. Apart from moisture content, none of the factors appeared to have a practical application for predicting the occurrence of splits. The cheese-making trials had been designed so that the cheeses would have similar composition, so this was not unexpected. Also, the rate and extent of acid development during cheese making (especially pH at whey drainage and curd pressing) was tightly controlled to eliminate differences in pH and calcium content (0.96 ± 0.02%) of the cheese. Thus, all cheeses (within each season) had suitable elasticity necessary for good eye development. Chemical measurements of the cheese such as pH, lactose or D/L-lactate had no correlation with prevalence of splits. In agreement with previous research on Swiss cheese, we found no correlation between prevalence of splits and proteolysis (Hammond and Reinbold, 1965; Park et al., 1967) or hydrolysis of either
s1-casein or ß-casein (Langsrud and Reinbold, 1973; Grappin et al., 1999).
| CONCLUSIONS |
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Split formation was influenced by both the L. helveticus and P. freudenreichii ssp. shermanii culture strains used to make Swiss cheese. The L1P2 culture combination produced the lowest incidence of splits for the summer and winter cheeses (14% and 1%, respectively). There was a sixfold increase in downgraded cheese when the L2P1 culture combination was used.
When a high target moisture level (e.g., 37 to 39%) is used for manufacturing Swiss cheese, selection of the L. helveticus and P. freudenreichii ssp. shermanii starter culture becomes important in controlling split defect. Split formation also increases with storage time. If a cheese has a tendency to split, there will be a higher percentage of downgraded cheese the longer it is kept in storage. By selecting the proper combinations, the incidence of splits can be reduced.
| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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2 Current address: Brewster Dairy Inc., 675 Wabash Ave. S., Brewster, OH 44613. ![]()
Received for publication May 6, 2002. Accepted for publication June 25, 2002.
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