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Programa de Lactología Industrial, Facultad de Ingeniería Química, (Universidad Nacional del Litoral), Santiago del Estero 2829S3000AOM Santa Fe, Argentina
Corresponding Author: E. R. Hynes; e-mail: ehynes{at}fiqus.unl.edu.ar.
| ABSTRACT |
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Key Words: Reggianito Argentino cheese cheese ripening proteolysis peptide profiling
Abbreviation key: LDA = linear discriminant analysis, PCA = principal component analysis, PTA = phosphotungstic acid, RAPD = randomly amplified polymorphic dna-polymerase chain reaction, RP-HPLC = reverse phase high performance liquid chromatography, SN = soluble nitrogen, TFA = trifluoroacetic acid
| INTRODUCTION |
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Reggianito Argentino cheese is the most popular Argentinean hard cheese (Centro de la Industria Lechera, 2001). It was derived from Italian cheeses such as Parmiggiano Regiano and Grana Padano in late 19th and early 20th centuries by Italian immigrants (Zalazar et al., 1999). The manufacturing stages were then adapted to Argentinean raw materials and environmental characteristics to make a distinct product. To prepare the starter culture for Reggianito cheese, a predetermined volume of whey is recovered directly from the cheese vat at ~52°C after the cooking step and held for 24 h as the temperature decreases (~52°C to ~35°C) (Gallino, 1994; Zalazar et al., 1999). The microbiological composition of such natural starter cultures may be easily affected by either the environmental conditions or cheesemaking technology (Giraffa et al., 1998). As a consequence of multiple equilibriums and natural selection, a complex starter is obtained after 24 h (pH ~ 3). In this way, the supply of whey starter cultures is readily available from the whey of the previous cheesemaking day. One of the characteristics of Reggianito Argentino that distinguishes it from other hard cheeses like Parmesan is the microflora of Argentinean whey cultures. Whey cultures from our region (Santa Fe, Argentina) are composed of ~66% Lactobacillus helveticus strains and ~33% of Lactobacillus delbrueckii subsp. lactis strains (Reinheimer et al., 1996), while the Italian cultures showed a somewhat different microbial composition: the most common species were L. helveticus and L. delbrueckii subsp. bulgaricus, sometimes accompanied by L. delbrueckii subsp. lactis, Lactobacillus casei subsp. casei, Lactobacillus fermentum, and Streptococcus thermophilus (Reinheimer et al., 1995).
Among the advantages of using natural whey starter cultures are the contribution to final product typical flavor and aroma, attributed to the complex microflora, and the resistance to phage attack due to the multi strain culture (Bottazzi et al., 1992; Giraffa et al., 1997). On the other hand, poor quality standardization and eventual contamination mainly with yeasts, has been pointed as disadvantages in Argentinean whey cultures (Reinheimer et al., 1996). Thus, the objective of many studies has been to find cultures that gather the advantages of natural whey cultures and a greater control of the cheese-making and ripening processes, provided by selected starters (Bosi et al., 1991; Paleari et al., 1996; Bottazzi et al., 1999).
In the present work, we studied proteolysis during ripening of Reggianito cheeses manufactured either with natural whey starter culture or with single and mixed cultures of L. helveticus selected strains. Cheesemaking experiments, microbiological analysis, and proteolysis assessment were performed to determine whether natural cultures could be replaced by selected starters without significant changes in Reggianito ripening patterns.
| MATERIALS AND METHODS |
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Whey samples were taken from a nearby Reggianito Argentino dairy plant after the cooking step and immediately carried to our laboratory under refrigerated conditions (4°C). Once in the laboratory, whey pH was adjusted to 6.3 with 40% NaOH, wt/vol, under controlled microbiological conditions and divided into two fractions. One of the fractions was incubated for 24 h at 45°C in order to obtain control natural whey starter, in which pH reached 3.15 ± 0.05. The remaining fraction was heated for 5 min at 85°C in order to destroy all vegetative cells. After cooling to 45°C, it was inoculated (2% vol/vol) with L. helveticus SF133, SF138, or SF209 milk cultures and incubated as the control. These whey cultures constituted the single strain starters used in the study; they reached a pH value slightly higher than the control: 3.25 ± 0.05. Two or three strain starters were obtained by mixing equivalent amounts of single strain cultures immediately before inoculation to cheese milk. Lactobacilli population was 108 cfu per milliliter both in single cultures and control whey culture (Candioti et al., 2002).
Cheese-Making
Control cheeses were made with natural whey starter culture, while experimental cheeses were prepared with single strain starter cultures (SF133, SF138, and SF209), two-strain starter cultures (SF133 + SF138, SF138 + SF209, and SF209 + SF133), and three strain starter culture (SF133 + SF138 + SF209). Three replicates were made for each type of cheese, which gave a total of 24 cheeses. Two cheeses were manufactured each cheese-making day in two parallel vats of 85 L. The order in which cheeses were manufactured was selected at random.
Cheese-making was carried out following the standard Reggianito cheese technology (Gallino, 1994). Raw milk was supplied by Milkaut Coop. Ltda. (Colonia Nueva, Santa Fe, Argentina). Fat content was standardized to 2.50% by centrifugation (Alfa Laval Separator Co., Tumba, Sweden) and milk was batch pasteurized at 65°C for 20 min. After cooling to 33°C, CaCl2 was added to a final concentration of 0.02%, wt/vol. 25 to 30 ml/L of whey starter culture (pH 3.15 to 3.25) was added, decreasing milk pH from approximately 6.70 to 6.50. After stirring, 0.29 ml/L of milk of adult bovine coagulant was added (230 International Milk Clotting Units per ml; Naturen, Chr. Hansen, Quilmes, Argentina). After 18 to 20 min, when the curd reached the proper strength, it was cut to the adequate grain size (approximately half a rice grain) with a cheese harp whose wires were spaced at 10 mm. The mixture of the curd particles and whey was gently stirred and heated at 0.5°C/min until it reached 44°C in order to reduce moisture in curd grains. The mixture was then more rapidly heated to 51°C (1°C/min), stopping the stirring at this point. The curd was separated, put into cylindrical moulds (diameter 26 cm, height 15 cm), and pressed during 24 h at decreasing temperature (from ~ 52°C to room temperature). After that, cheeses were salted in 20% (wt/vol), pH 5.4 brine at 12°C for 6 d. During this time the cheese was inverted every other day. The obtained 7-kg cheeses were dried and ripened at 12°C and 80% relative humidity for 6 mo, the minimum time required by Argentinean legislation for Reggianito Argentino cheese (Código Alimentario Argentino, 1999).
Gross Composition of Cheeses
Dry matter and protein content were analyzed according to IDF standards (IDF, 1962; IDF, 1993), and fat and pH by American Public Health Association methods (Bradley et al., 1993) on 180-d-old cheeses.
Microbiology
The population of total thermophilic lactic flora present in cheeses after 0 (fresh curd), 1 (curd after pressing), 90, and 180 d of ripening was determined by plating sample dilutions on skim milk agar and counting plate colonies after 48 h of incubation at 37°C according to American Public Health Association standards (Frank et al., 1993). Coliforms were enumerated on bile red violet agar, and the plates were incubated for 24 h at 30°C (Christen et al., 1993). Fresh whey was also analyzed by a modified Weinzirl method (Annibaldi, 1969) to determine sporulated anaerobic organisms. Mold and yeasts were determined according to American Public Health Association (Frank et al., 1993) on the starter cultures.
Proteolysis Assessment
Proteolysis was assessed on 0-, 90- and 180-d-old cheeses, by determination of soluble N (SN) at pH 4.6, in TCA 12% and in phosphotungstic acid (PTA) 2.5%. Electrophoresis and reverse phase liquid chromatography (PR-HPLC) were also performed.
Soluble nitrogen.
Cheese samples were treated to obtain crude citrate extract and soluble fractions at pH 4.6, in TCA 12% and PTA 2.5%, according to Hynes et al. (2001). The crude cheese extract was obtained by adding 20 ml of sodium citrate 0.5 M to 10 g of cheese and grounding to homogeneity using a pestle. Deionized water was added to ~90 ml, and the pH was adjusted to 4.6. After centrifugation (3000 x g/15 min), the soluble fraction volume was adjusted to 100 ml. The TCA 12% and PTA 2.5% soluble fractions were obtained from 4.6 soluble fraction according to Gripon et al. (1975). The N content was determined in duplicate by the macro-Kjeldahl method according to the IDF method (1993).
Electrophoresis.
The insoluble residue at pH 4.6 was analyzed by Urea-PAGE in a Mini-Protean II cube (BioRad Laboratories, CA) by the Andrews (1983) method, with a concentration of acrylamide of 7.5% (Hynes et al., 1999). Proteins were stained by Coomasie blue G-250. Samples of cheese casein were prepared by precipitation at pH 4.6 and purified.
Reverse phase-high performance liquid chromatography (RP-HPLC).
The HPLC equipment consisted of a quaternary pump, an online degasser, and UV/VIS detector, all Series 200, purchased from Perkin Elmer (Perkin Elmer, Norwalk, CT). An interface module connected to a computer was used for acquisition of chromatographic data with the software Turbochrom (Perkin Elmer). A 250- x 4.6-mm Aquapore OD-300 C18, 5 nm - 300 A° analytical column was used (Perkin Elmer). Water-soluble extracts of the cheeses were obtained by blending 5 g of cheese and 15 ml of distilled water with mortar and pestle, then warmed up to 40°C and maintained for 1 h. The suspension was centrifuged at 3000 x g and filtered through fast flow filter paper. The filtered solution was adjusted to a final volume of 25 ml. Samples were filtered through 0.45 µm membranes (Millex, Millipore, São Paulo, Brazil), and 20 µl was injected into the HPLC chromatograph. Detection was performed at 214 nm, and column temperature was 40°C. The gradient, starting from 100% of solvent A (H2O-trifluoroacetic acid (TFA), 1000:1.1, vol/vol) and 0% of solvent B (Acetonitrile-H2O-TFA 600:400:1, vol/vol/vol), was generated 10 min after injection. The proportion of solvent B was increased by 1%/min (80 min), 20%/min (1 min), 0%/min (4 min), and then returned to starting conditions, which took 1 min. These last setting conditions were maintained for 10 min.
Statistics
Nitrogen fraction data were processed by one-way ANOVA with Statistix 7 (Analytical Software, Tallahasse, FL). When differences were found, means were compared by the LSD using the same tool.
Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to data obtained from RP-HPLC profiles. All multivariate techniques were performed with Statgraphic plus 3.0 (Rockville, MD).
| RESULTS |
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Figure 1
shows changes on lactic acid bacteria counts during ripening. Starter number was between 106 and 107 cfu/g in curd before molding, in cheeses made with natural culture and L. helveticus strains SF133, SF138, and SF209. The other cultures provided an initial cell count of 107 to 108 cfu/g. Starter cell numbers reached a maximum of 108 to 109 cfu/g at 24 h in all cheeses, and then decreased by one or two log orders during ripening. Cheeses prepared with the strain SF209 showed the lowest final counts, about 106 cfu/g. That was verified in cheeses made with the single-strain culture, and manufactured with two and three strain combinations containing SF209, i.e.: SF133-SF209, SF138-SF209, and SF133-SF138-SF209.
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Soluble N level at pH 4.6, in TCA 12% and in PTA 2.5%, for 0-, 90-, and 180-d-old cheeses, is represented in Table 1
. The content of SN at pH 4.6 (pH 4.6 SN) did not differ (P > 0.05) between control and experimental cheeses during ripening. Significant differences in SN at pH 4.6 were not expected, as this fraction represents mainly primary proteolysis, due especially to indigenous milk enzymes and possibly to residual or reactivated chymosin in cooked cheeses (Delacroix et al., 1992).
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On the other hand, soluble N in PTA 2.5% contains very small peptides, amino acids, and smaller N compounds other than dibasic amino acids and ammonia, which makes it a fair index of free amino acid content (Ardö, 1999). Similarly to TCA 12% SN, PTA 2.5% SN amount in cheeses prepared with different starter cultures did not differ during the first stage of ripening (P > 0.05), but it showed significant differences for 180-d-old cheeses (P < 0.001). Means of PTA 2.5% SN were clustered in three homogeneous groups. Cheeses manufactured with SF209 in single or mixed cultures and control cheeses conformed one group, which showed the highest PTA 2.5% SN level. An intermediate group of means was composed of cheeses manufactured with SF133, SF138, SF133-209, SF138-209, and control cheeses. On the other hand, cheeses prepared with SF133 and SF138 were also classed in a third group, along with SF133-SF138 culture; this group has the lowest PTA 2.5% SN amount. The tendency detected by both TCA and PTA SN results was the same, which suggests that production of both medium to small peptides and free amino acids is encouraged when SF209 is in the starter.
Typical electrophoretic patterns for control and experimental 0-, 90-, and 180-d-old cheeses are shown in Figure 2
. Control and experimental cheeses manufactured with single strain starters SF133 and SF138 are presented as examples. Electrophoretic profiles of cheeses made with SF209 and mixed starters were essentially the same (data not shown). Plasmin activity on ß casein, which leads to
caseins, was clearly observed. Bands for
caseins increased from 0- to 90-d-old cheeses, while ß caseins band decreased accordingly. The
caseins were not more intense for 180- than for 90-d-old cheeses, even though ß casein band decreased, suggesting further degradations on
caseins. As expected, the
s2 casein disappeared in 90-d-old cheeses because this minor casein is, together with ß casein, one of the main substrates of plasmin (Grufferty and Fox, 1988). The
s1 casein was partially degraded to
s1-I peptide in 90- and 180-d-old cheeses. This breakdown has been attributed to residual chymosin or to cathepsin D in hard and Swiss-type cheeses (Delacroix Buchet and Fournier, 1992; Fox and McSweeney, 1996), but further research on the subject is probably needed. The similarity of all the electrophoretic patterns is consistent with the results of NS at pH 4.6, which indicates that both markers are comparable for Reggianito Argentino cheese (Candioti et al., 2002).
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The areas of peaks a to q expressed on arbitrary units were considered as independent variables for PCA. We performed PCA with standardization of the variables to a mean of zero, and their original variances (covariance matrix) (Pripp et al., 2000). The first PC explained 94.92% of the variability, and was considered to retain most information existing in the original data taking into account two criteria: an eigenvalue = 1 (the eigenvalue is defined as the column sum of squares for a PC that represents the amount of variance), and a scree plot, which is a plot of the eigenvalues or total variance accounted for by each component. The plot shows a distinct gap between the steepest slope of the large components and a progressive downward path (the scree) (Statgraphic plus 3.0). Even though one PC was enough to explain most of the variation, we retained the first two in order to obtain a two-dimension mapping for variables and samples, more readable than a one-dimension plot or a table (Figure 4
).
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The score plot is presented in Figure 4b
. The scores on PC1 and PC2 for each sample, which represented mainly the production of amino acids Tyr, Phe, and Trp, were influenced by ripening time: 0-d-old cheese show little variability, while 90- and 180-d-old cheeses were very variable. The samples were not clustered according to Lactobacillus strains or starter cultures of one, two, or three or more strains.
Taking into account the results of PCA, linear discriminant analysis (LDA) was applied to assess the age of the cheeses, using the first three PC as predictor variables (Figure 5
) (Girard and Nakai, 1994; Santa María et al., 1986; Pham and Nakai, 1984). The 83.58% of the samples were classified in the correct group, i.e., cheeses at the beginning, the middle, or the end of the ripening process. Some overlapping between 90- and 180-d-old samples was observed, which caused the misclassification. As ripening is a continuum process, the groups may not be completely divided (Pham and Nakai, 1984)
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| DISCUSSION |
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s and ß in vitro (Torriani et al., 1994; Mäyrä-Mäniken and Bigret, 1998); however, no evidence of such a breakdown was detected in the cheeses. Conversely, the influence of the starter culture on further hydrolysis of peptides was clearly evidenced by TCA 12% and PTA 2.5% SN, which contain relatively small N compounds. The differences indicated a stronger peptidase activity of the strain SF209 both in single culture or in mixed starters. This agrees with the fact that cheeses prepared with starter cultures containing SF209 showed the lowest counts of LAB at the end of the ripening, suggesting higher cell lysis and release of peptidases into the cheese mass. Nevertheless, we did not investigate bacterial lysis, so further research on this subject may be needed. The results on N fractions indicates that natural whey starter cultures could be replaced by several starters without significant changes on proteolysis patterns after 180 d of ripening. Starter cultures prepared only with SF209 or with the three selected L. helveticus strains, gave cheese products significantly more proteolyzed than control cheeses. As long as no defect was detected in cheeses made with SF209 and SF133-SF138-SF209 starter cultures, those could be selected in order to obtain products characterized by a more intense proteolysis, and, therefore, potentially enhanced flavor and texture. On the contrary, starters composed of SF133-SF138 seem not to be so attractive, since cheeses made with them showed the lowest level of proteolysis. However, the fact that proteolysis is not the limiting step in cheese flavor production should not be disregarded when starter selection is attempted. In effect, Yvon and Rijnen (2001) have shown that the conversion of free amino acids into flavor-related compounds via a transaminase-catalized reaction is a key event in the production of cheese flavor and is not necessarily increased by increased proteolysis. Sensory analysis or volatile compounds assessment are therefore suitable techniques to provide complimentary information (Candioti et al., 2002). Multivariate analysis of chromatographic profiles revealed that samples did not cluster by Lactobacillus strain or type of starter (single, mixed, or natural cultures), because intra- and intergroup variability was similar. On the other hand, multivariate techniques were successful in classifying samples by the stage of ripening. Thus, variability among samples was explained mainly by the time of ripening, which appears as a key technological parameter to obtain Reggianito cheese products with similar proteolysis characteristics and therefore a constant quality level.
The fact that the initial cleavage of caseins was very similar for all cheeses, while secondary proteolysis indexes evidenced significant differences among them, along with the importance of the peaks identified as Phe, Trp, and Tyr in peptide profiles, suggests that free amino acids profiling may be a more useful technique than peptide mapping to characterize the role of L. helveticus starters. In further studies we will focus on the setting up of this technique in our laboratory.
We conclude that the replacement of natural whey starter cultures by selected strains cultured in whey is possible without changes in the proteolysis patterns of Reggianito Argentino cheese.
| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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2 Doctoral fellow from CONICET, Argentina. ![]()
Received for publication February 17, 2003. Accepted for publication July 7, 2003.
| REFERENCES |
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s1 casein hydrolysis during soft cheeses ripening. J. Dairy Sci. 84:13351340.[Abstract]
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