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* Department of Food Science, University of Wisconsin-Madison, Madison 53706
Corresponding author: J. L. Steele; e-mail: jlsteele{at}facstaff.wisc.edu.
| ABSTRACT |
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Key Words: esterase ester accumulation Parmesan cheese
Abbreviation key: aw = water activity, FA = fatty acid, LAB = lactic acid bacteria, PGL = pregastric lingual lipase, pNP = p-nitrophenyl.
| INTRODUCTION |
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The formation of ethyl esters such as ethyl butanoate and ethyl hexanoate are believed to play an important role in the development of characteristic fruity flavors in Italian cheeses such as Parmesan and Grana Padano (Dumont et al., 1974; Meinhart and Schreier, 1986; Barbieri et al., 1994; Moio and Addeo, 1998; Qian and Reineccius, 2002). The FA and ester profiles of each Italian cheese are variety dependent and modulated by the selectivities of the lipolytic and esterolytic enzymes involved in cheese ripening (Woo and Lindsay, 1984; Ha and Lindsay, 1992).
Lipolytic enzymes involved in flavor development of Italian cheese originate from milk, the starter culture employed, nonstarter lactic acid bacteria (LAB), and pregastric tissues of ruminants (Fox and Cogan, 2000). Endogenous milk lipase is abundant in milk and could contribute to lipolysis in cheese manufactured from raw milk (Fox et al., 2000). However, when milk is pasteurized (78°C/10 s), milk lipase is inactivated and unlikely to contribute to flavor development (Fox et al., 2000). Pregastric lingual lipases (PGL) from calf, kid goat, or lamb, are used in the manufacture of Romano and Provolone cheeses (Ha and Lindsay, 1993; Fox et al., 2000). The use of PGL in cheese results in extensive lipolysis of milk fat and the development of sharp, peppery, and "picante" flavor notes (Gobbetti et al., 1997b; Fox et al., 2000). In other Italian cheeses, such as Parmesan and Grana Padano, PGL is not used (Johnson, 2001). These latter cheeses are typified by the tendency to develop more fruity flavors and less intense lipolytic flavor notes (Barbieri et al., 1994; Johnson, 2001; Qian and Reineccius, 2002).
Little is known about the contribution of lipases and esterases from LAB to the formation of flavor in Italian-type cheeses, such as Parmesan and Grana Padano (Moio and Addeo, 1998; Fox and Cogan, 2000). Presumably, esterases, and lipases from starter LAB, such as Lactobacillus helveticus, Lactobacillus delbrueckii, Lactobacillus fermentum, and Streptococcus theromophilus, and nonstarter LAB, such as Lactobacillus casei, are responsible for liberating short n-chain FA from milk fat at elevated aw and synthesis of short n-chain ethyl esters as aw decreases with ripening (Ha and Lindsay, 1992). Given the high cell densities reached by starter and nonstarter LAB (108 to 109 cfu/g cheese) as well as the lengthy ripening time associated with these cheeses, lipases, and esterases from LAB are likely to play an important role in flavor development of these cheeses (Gobbetti et al., 1996a, 1997b).
The esterolytic and lipolytic activities of several thermophilic and mesophilic lactobacilli have been described (Gobbetti et al., 1996a). Esterases and lipases of LAB have recently been characterized from Lb. casei (Fenster et al., 2003a; Fenster et al., 2003b; Castillo et al., 1999), Lb. plantarum (Gobbetti et al., 1996a, 1997a), Lb. fermentum (Gobbetti et al., 1997b), Lb. helveticus (Fenster et al., 2000, 2003b), Lactococcus lactis (Tsakalidou and Kalantzopoulos, 1992; Holland and Coolbear, 1996; Chich et al., 1997; Fernández et al., 2000; Fenster et al., 2003a), and S. thermophilus (Liu et al., 2001). In most cases, the selectivities of these enzymes for hydrolyzing ester compounds under cheese-like and noncheese-like conditions were evaluated. The activities and selectivities of these enzymes for esters with short n-chain FA suggest that some of these esterases and lipases could have a significant effect on cheese flavor development. However, the influence of aw on the ability of these enzymes to synthesize esters, especially under conditions found in low moisture cheeses, such as Parmesan and Grana Padano, has not been evaluated.
Because the activities and specificities of esterases and lipases vary widely between species and strains of LAB (Gobbetti et al., 1996a), selection of appropriate starter and adjunct starter LAB for cheese manufacture may be especially important for bacterial ripened cheeses, such as Parmesan and Grana Padano, where accumulation of ethyl esters, such as ethyl butanoate and ethyl hexanoate, are believed to be essential for characteristic flavor development (Dumont et al., 1974; Meinhart and Schreier, 1986; Barbieri et al., 1994; Moio and Addeo, 1998; Qian and Reineccius, 2002).
This manuscript describes the selectivity for and accumulation of ethyl esters catalyzed by EstA from Lb. helveticus CNRZ32 (Lbh-EstA), EstB, and EstC from Lb. casei LILA, and EstA from Lc. lactis MG1363 (Lcl-EstA) in a model system simulating Parmesan cheese ripening conditions (10°C, 2 to 3% NaCl, pH 5.4 to 5.5). Modulation of esterase activity by aw values of 0.850 to 0.925 was determined. The potential role of these esterases in cheese flavor development is discussed based on their ability to mediate ester accumulation at aw values typically encountered in ripening Parmesan cheese.
| MATERIALS AND METHODS |
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Determination of Esterase and Lipase Activities
Enzyme activities of purified Lbh-EstA, EstB, EstC, and Lcl-EstA were determined with p-nitrophenyl (pNP) butanoate (Sigma Chemical Co., St. Louis, MO) as previously described (Fenster et al., 2000, 2003a, 2003b). The enzyme activity of Capalase K (Degussa Bioactives, Waukesha, WI), a kid goat PGL, was determined with pNP-butanoate in a similar fashion. Briefly, 1 g of Capalase K was mixed in 20 ml of ice-cold 50 mM Na-phosphate (pH 5.0) and 150 mM NaCl. Insoluble material was removed by centrifugation (1940 x g, 10 min, 4°C). The protein content was determined with the Sigma Total Protein Kit using bovine serum albumin (Sigma) as the standard. The standard assay mixture consisted of 50 mM Na-phosphate (pH 5.0) and 150 mM NaCl, which was pH-adjusted at the temperature (50°C) used for the enzyme assays. Reaction mixtures (1 ml total reaction volume) were preequilibrated for 5 min at 50°C prior to initiation of reactions. Reactions were initiated by adding varying concentrations (0.0039 to 4.0 mM) of pNP-butanoate and 28 µg protein/ml. Control reactions containing no enzyme were utilized to measure the spontaneous hydrolysis of pNP-butanoate and were deducted from the experimental enzyme assays containing enzyme. Enzyme assays were run continuously for 5 min and initial rates of p-nitrophenol released by Capalase K were quantified by measuring absorbance at 340 nm (Martin et al., 1959). The extinction coefficient (
mM) of p-nitrophenol under these conditions was determined to be 7.25/cm at 340 nm. Measured reaction rates were verified to be linear under these conditions. Enzyme assays were performed twice in duplicate and the coefficient of variation was
5%. Kinetic constants (KM and Vmax) were calculated from the Hyperbola (Hyperbol.fit) program of Sigma Plot 3.0 (Jandel Scientific Software, San Rafael, CA). The specific activity of Capalase K was expressed as µmol p-nitrophenol/min per milligram of protein.
Preparation of Model Cheese Systems
The formulations for the model systems employed in this study are presented in Table 1
. The standard procedure for making the model systems with aw values of 0.925, 0.900, and 0.850 (±0.003; measurements done in triplicate) was as follows. NaCl (Sigma) was dissolved in sterile water. Calcium phosphate (Sigma) was added and stirred for 10 min. The pH was adjusted to 5.4 to 5.5 by adding 5 M NaOH. The casein hydrolysate (Sigma), Natamax (Danisco Cultor USA, Inc., New Century, KS), and antibiotics (kanamycin, ampicillin, penicillin, and erythromycin; Sigma) were added and stirred for 5 min. The Natamax and antibiotics were incorporated into the model system to suppress growth of yeasts, molds, and bacteria. HPLC-grade 1-heptanol was added as an internal standard at a concentration of 1000 mg/kg; alcohols (ethanol, 1-propanol, 1-butanol, 1-pentanol, and 1-hexanol) and fatty acids (acetic, propionic, butanoic, pentanoic, and hexanoic acids) (Sigma) were added at a concentration of 1000 mg/kg each in the model system and stirred for 5 min. The pH of the model system was readjusted to pH 5.4 to 5.5 with 5 M NaOH. Purified casein (Sigma) was added and stirred for 10 min. The aw of each model system was determined with a Decagon CX-2 water activity meter (Decagon Devices, Inc., Pullman, WA) according to the manufacturers instructions.
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After addition of enzyme, 10-g samples were transferred to 50-ml glass crimp top vials (Supelco, Bellefonte, PA) with Teflon (DuPont, Wilmington, DE) septa and aluminum crimp top seals and then stored at 10°C for 60 d.
Microbial and Fungal Enumeration
Enumeration of aerobic bacteria, coliforms, and yeast and molds was conducted to determine general microbial and fungal quality of the model systems (Petrifilm, 3M Microbiology Products, St. Paul, MN) according to the manufacturers instructions.
Ester Quantification
Esters were quantified using a dynamic headspace system similar to Colchin et al. (2001). Briefly, 5.0 g of sample was transferred into a 100-ml round bottom single neck flask fitted with a glass adapter, which contained a hose connector and an open top compression cap (Kimble/Kontes, Vineland, NJ). Samples were purged with purified nitrogen gas (500 ml/min) for 30 min at 25°C. Displaced headspace volatiles were trapped onto Orbo-100 (Supelco, Inc., Bellefonte, PA) solvent desorption tubes. Volatiles were desorbed with HPLC-grade diethyl ether (Sigma) into graduated screw top vials (2 ml) with solid caps and Teflon (DuPont) liners; a total of 1.0 ml of solvent eluate was collected. No additional concentration was performed prior to injection.
Gas Chromatography-Mass Spectroscopy GC/MS
Samples were analyzed with a GC (Hewlett-Packard 6890; Hewlett-Packard Company, Palo Alto, CA) equipped with a mass selective detector (5973 Hewlett-Packard with Hewlett-Packard B.02.05 ChemStation software). An HP-5, 30-m x 0.25-mm inner diameter, 0.5-µm film thickness column (Hewlett-Packard) was used for the resolution of volatile compounds.
Sample injections of 1 µl were made in the split mode at a 40:1 ratio. The initial column temperature was 30°C, which was held for 4 min, then increased at 4°C/min to 95°C. The column temperature was increased at 30°C/min to 220°C and maintained for 10 min. Column flow rate was 1.0 ml/min using helium as the carrier gas. The mass-spectrometer operating conditions used were ion source temperature of 230°C, ionization voltage of 70 eV, and scan range of 20 to 350 m/z at 2.76 scans/s.
Identification and Quantification
Compounds were identified by comparison to a mass spectral reference collection (NIST 1998 Mass Spectral Library, version 1.7) and by retention times of known standards. Quantification was based on standardized peak areas (total mass ion abundance) of authentic standards. The standard curves for ethyl butanoate, ethyl pentanoate, ethyl hexanoate, and 1-heptanol were established from 1 to 100 mg/kg using the model system as a base. The purge-trap technique, GC-MS, and identification methods used to establish the standard curves were identical to those used for the experimental samples. To solely evaluate the effects of enzyme-mediated ester generating reactions, the values presented were further corrected by subtracting the average ester concentrations formed spontaneously in the negative controls. The negative controls contained either no added enzyme or had heat-inactivated Capalase K. The accumulation of esters catalyzed by each of the enzymes was at least 2 times greater than the average concentrations due to spontaneous formation observed in the negative controls.
Statistical Analysis
Statistical analyses were performed using a completely random design (JMP version 6.12; SAS Institute, Inc., Cary, NC). Tukey pairwise mean comparisons were performed where appropriate (
0.05).
| RESULTS AND DISCUSSION |
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Statistical Analyses
The complete statistical model of the main and corresponding two-way interaction effects of enzyme type, aw, and enzyme selectivity for FA chain length are presented in Table 3
. In short, each of the main and two-way interactions had significant effects (P < 5%) on the accumulation of esters evaluated in this system; each is described in detail below.
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Influence of Enzyme on Accumulation of Ethyl Esters
Pooling the effects of aw and the type of ethyl ester formed, the concentration of total enzyme-derived esters were 5.6 ± 1.5, 7.5 ± 1.8, 32.6 ± 3.3, 37.1 ± 3.7, and 60.1 ± 5.8 mg/kg for the Lbh-EstA, EstC, Capalase K, Lcl-EstA, and EstB, respectively. The concentrations of ethyl esters catalyzed by each of the enzymes were significantly different from each other with the exception of Lbh-EstA and EstC, which exhibited the lowest accumulation level among the enzymes examined. EstB catalyzed the highest level of accumulation of ethyl esters, which was 8 to 11 times higher than in samples with Lbh-EstA and EstC. In general, this selectivity pattern was fairly consistent across each aw value and each of the three FA chain lengths; however, some deviations are of particular significance, as detailed in appropriate sections below.
The differences in enzyme-mediated ester accumulation concentrations could be influenced by the inherent relative rates of synthesis and hydrolysis of ethyl esters by the enzymes, access to cosubstrates, and environmental factors, such as pH, salt, temperature, and aw. In previous characterizations of Lbh-EstA, EstB, EstC, and Lcl-EstA (Fenster et al., 2000, 2003a, 2003b), the individual effects of pH, salt (NaCl), and temperature on ester hydrolyzing activities of these enzymes were evaluated. As previously reported, reduction in pH from near neutrality (pH 7.0 to 8.0) to values typical of cheese (pH <5.5) had a pronounced effect on reducing the activities of Lbh-EstA and Lcl-EstA, yet little effect on EstB and EstC. This suggests that pH may be the primary factor likely to affect activities of Lbh-EstA and Lcl-EstA under cheese-like conditions employed in the current study. Additionally, NaCl inhibited EstC activity to a significantly greater extent than that observed for the other LAB esterases (Fenster et al., 2003a). Therefore, NaCl concentration is likely the primary factor affecting the residual activity of this enzyme under the cheese-like conditions manifest in the model system. Both pH and NaCl concentration are likely to contribute to the lower ethyl ester concentrations observed in the model cheeses containing Lbh-EstA and EstC. Because Lbh-EstA and Lcl-EstA are both similarly influenced by pH, the higher level of ethyl ester accumulation mediated by Lcl-EstA suggests that selectivity for cosubstrates, or relative rates of synthesis and hydrolysis of ethyl esters, may be important factors contributing to the accumulation of ethyl esters catalyzed by these enzymes.
Effect of aw on Accumulation of Ethyl Esters
Accumulation of ethyl butanoate, ethyl pentanoate, and ethyl hexanoate occurred at each of the aw values evaluated. Pooling the effects of enzyme and type of ester resulted in ethyl ester concentrations of 34.0 ± 5.4, 36.0 ± 4.7, and 15.8 ± 2.3 for aw values of 0.850, 0.900, and 0.925, respectively. In general, ethyl ester accumulation was favored at lower aw values. Ester concentrations at aw values of 0.850 and 0.900 were indistinguishable from one another and were 2.2 to 2.3 times greater than the concentrations at 0.925. The effect of aw was neither consistent across enzyme treatment nor FA chain length selectivity.
Influence of Enzyme and aw on Accumulation of Ethyl Esters
The interaction between esterases and aw values on total ester accumulation is presented in Figure 1
. The accumulation of ethyl esters catalyzed by Lbh-EstA, EstC, Capalase K, and Lcl-EstA treatments at each aw (0.850, 0.900, 0.925) exhibited a similar trend for the highest ester concentrations at the intermediate aw value of 0.900, and the lowest ester concentrations at the highest aw value of 0.925. Although apparent as a trend, this pattern only reached statistical significance with the Capalase K and Lcl-EstA treatments. The inability to observe a reduction in ethyl ester accumulation at an aw of 0.925 with Lbh-EstA and EstC is likely due to their relatively low levels of accumulation. The EstB treatment was an exception to this trend in that it had greatest ester accumulation at the lowest aw value of 0.850.
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These results largely support the hypothesis of Ha and Lindsay (1992) that decreases in aw in ripening Italian-type cheeses favors the synthesis of ethyl esters. The observed influence of aw on ethyl ester accumulation is likely to be important for flavor development of hard Italian cheeses, such as Parmesan and Grana Padano, because the aw of these cheeses typically decrease during ripening (Ha and Lindsay, 1992; Coppola et al., 2000). After ripening for 1 to 2 yr, the interior and exterior of Parmesan develop aw values of 0.91 to 0.92 and 0.85 to 0.88, respectively (Rüegg and Blanc, 1981; Battistotti and Corradini, 1993). The decreasing aw of these cheeses during ripening favors ester synthesis by esterases and lipases (Ha and Lindsay, 1992; Cristiani and Monnet, 2001).
Enzyme-Mediated Selectivity for Ethyl Butanoate, Ethyl Pentanoate, and Ethyl Hexanoate
The effects of enzyme selectivity for ethyl butanoate, ethyl pentanoate, and ethyl hexanoate are presented in Figure 2
. Both Lbh-EstA and EstC produced similar concentrations of ethyl esters, which were the lowest among the enzymes examined. Additionally, the Lbh-EstA and EstC enzymes exhibited the selective accumulation of 4 to 5 times more ethyl butanoate than either ethyl pentanoate or ethyl hexanoate. Conversely, the Capalase K and Lcl-EstA treatments demonstrated a nearly identical trend for increased ester accumulation levels as a function of increased FA chain length. The selectivity of EstB for butanoate, pentanoate, and hexanoate was substantially different from the other enzymes examined, yielding the highest concentrations of each of the ethyl esters. This was most pronounced in the accumulation of ethyl pentanoate, for which EstB resulted in the accumulation of a 65-fold higher level than Lbh-EstA. There were only minor differences in the selectivity of EstB among ethyl butanoate, ethyl pentanoate, and ethyl hexanoate.
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Influence of aw and Enzyme Selectivity for FA Chain Length
The combined effects of aw and enzyme selectivity for FA chain length on ester accumulation is presented in Figure 3
. At an aw of 0.850, no significant differences were observed in the accumulation of ethyl butanoate, ethyl pentanoate, and ethyl hexanoate. At an aw of 0.900, although no significant differences were observed in the accumulation of ethyl butanoate and ethyl pentanoate, there was a trend towards increased accumulation of esters as a function of increasing FA chain length. This trend was also manifest at an aw of 0.925, where ethyl hexanoate accumulated to a significantly higher level than ethyl butanoate.
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| CONCLUSIONS |
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| ACKNOWLEDGMENT |
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Received for publication December 13, 2002. Accepted for publication March 4, 2003.
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