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* Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Pirassununga, SP, Brazil
Northeast Dairy Foods Research Center, Department of Food Science, Cornell University, Ithaca, NY 14853
| ABSTRACT |
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Key Words: proteolysis lipolysis sensory threshold milk off-flavor
Abbreviation key: BET = best estimated threshold, CC = coliform count, CN/TP = casein as a percentage of true protein, , SPC = standard plate count
| INTRODUCTION |
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The hydrolytic release of free fatty acids from triglycerides causes a flavor defect in fluid milk described as rancid (Shipe et al., 1978). This event, known as lipolysis, occurs as milk lipase catalyzes the release of free fatty acids from triglycerides. Bovine milk contains a native lipase (Castberg, 1992) that is characterized as a lipoprotein lipase (EC 3.1.1.34). Other lipolytic enzymes that may play a role in lipolysis in milk are: lipase from somatic cell origin, bacterial lipases and other miscellaneous esterases (Azzara and Dimick, 1985). In fresh, high quality milk, lipolysis is caused mainly by the activity of milk lipoprotein lipase (Olivecroma, 1992). In cows milk, the majority of lipase is associated with the casein micelles in the skim milk fraction. Ma et al. (2000) reported that high SCC pasteurized milk stored at 5°C developed rancid off-flavor between 14 and 21 d after processing, whereas low SCC milk did not. They hypothesized that somatic cells may have contributed heat stable lipases that survived pasteurization.
Proteolysis of milk during storage can result in the accumulation of small peptides that lead to the development of bitterness (Ma et al., 2000) and astringency (Harwalkar et al., 1993). Proteolytic activity in raw milk with low bacteria count is due mainly to the endogenous milk protease plasmin (EC 3.4.21.7). Plasmin activity in milk increases with increasing milk SCC. The major substrate for proteolysis in milk is casein. Plasmin is one major protease in milk acting mainly on
s1-,
s2-, and ß-casein (Verdi et al., 1987). During mastitis, not only the concentrations of plasmin and plasminogen are increased, but the rate of plasminogen activation is also increased (Politis et al., 1988). In normal milk, plasmin is the enzyme responsible for most of the proteolytic activity (de Rham and Andrews, 1982). During mastitis, when milk SCC is elevated, the proteolytic contribution from phagocytic leukocytes (polymorphonucleocytes and macrophages) is greatly increased (de Rham and Andrews, 1982; Verdi and Barbano, 1988). These cells contain active proteases, especially when activated by the immune response (Verdi and Barbano, 1991). Contribution of nonplasmin proteolytic activity from somatic cells is usually only significant when SCC is maintained high, at a level of 1 million cells/ml or higher (Saeman et al., 1988; Verdi and Barbano, 1988). In the present study, milk with elevated SCC was selected to provide milk that would develop off-flavors due to the action of native milk proteases after pasteurization. When postpasteurization contamination is eliminated and bacteria counts are kept low during refrigerated storage of fluid milk, the activity of the native milk lipases and proteases will become the factor that limits shelf-life of fluid milk.
According to Lawless and Heymann (1998), ascending forced-choice procedures are widely used techniques for threshold measurements for taste and smell. The sensory threshold concept is useful for the dairy industry in determining the minimum concentration of an off-flavor compound that would be detected in pasteurized milk by the consumers. Classically, in sensory research, a flavor threshold is estimated as the geometric mean of all panelist thresholds.
The objective of this study was to determine the sensory threshold of off-flavor caused by lipolysis in 2% fat milk using the ascending forced-choice method and to establish the relationship between increased proteolytic activity in milk and the detection of off-flavor.
| MATERIALS AND METHODS |
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Milk with native milk lipase-induced off-flavor was produced by heating raw 2% fat milk to 32°C in a steam-jacketed kettle and then homogenizing (first stage, 13.8 MPa; second stage, 3.5 MPa) that milk. The homogenized milk was held at room temperature for 100 min to allow the native milk lipase to release free fatty acids from the triglycerides. The milk with the lipase-induced off-flavor was then heated to 65.5°C and homogenized again achieve the same particle size of milk fat globules as the low lipolytic off-flavor control portion. The milk was then immediately pasteurized (i.e., to stop lipolysis) cooled, collected, and stored under the same conditions as the control. The above processing procedures were performed twice in two different weeks with different batches of milk.
Milk quality evaluationchemical analysis. The extent of lipolysis was measured using the copper soap method (Shipe et al., 1980), as modified by Ma et al. (2003). Alkaline phosphatase tests were run on each batch of control and experimental milk to determine whether the batches were fully pasteurized using the Charm PasLite method (Charm Science Inc., Malden, MA). Particle size analyses were run on each batch of milk according to Smith et al. (1995), using a laser light-scattering particle size analyzer (MasterSizer model E; Malvern, Worcestershire, United Kingdom) to determine whether the experimental portions were homogenized similarly, thus ensuring that a difference in mouth feel would not affect the sensory evaluation.
Preparation of samples. For replicate one, the FFA contents of the low and high lipolysis milks were 0.11 and 0.99 meq FFA/kg of milk, respectively. For replicate two, the FFA contents of the low and high lipolysis milks containing 2% fat were 0.12 and 0.87 meq of FFA/kg of milk, respectively. The low and high FFA portions of milk were blended together in varying amounts to create a series of milks with increasing FFA concentrations. A series of six samples with increasing FFA content were prepared so that: 1) the difference in FFA content between adjacent increments doubled as the FFA concentration increased and 2) the expected detection threshold (based on preliminary work) would occur in the middle of the series of six samples. The six different experimental samples were compared to the low FFA control milk. The samples were poured into plastic cups with lids and stored at 6°C in opaque containers to protect them from light until they were served to the panel.
Milk quality evaluationsensory analysis. Ascending forced-choice procedures were used to measure the detection threshold (Lawless and Heymann, 1998). The use of human subjects in this study was reviewed and approved by the Cornell University Committee on Human Subjects. Stimulus intensity (i.e., FFA concentration) was increased in a series of triangle tests, in an ascending fashion, to find points where each individual panelists responses changed from not correctly identifying the odd sample to correctly identifying the odd sample. The samples were provided to each panelist as a series of six blind coded sets of three samples per set. The first set was two portions of low FFA milk and the next lowest concentration of high FFA milk. The panelist had to make a choice of the odd sample before they would receive the second set, and so on for six sets. Twenty-five untrained panelists participated in each sensory panel. Two separate groups of 25 untrained panelists were used for each replicate, for a total of four taste panel sessions. Paper ballots with symbols (e.g.,
, , #, etc.) for each milk sample were used.
The individual and group best estimated threshold (BET) during each sensory session was calculated as described by Meilgaard et al. (1991). The individual BET was calculated as the geometric mean of the highest concentration missed and the next concentration (Meilgaard et al., 1991). For those panelists who were correct at the lowest FFA concentration, their individual BET were estimated as the geometric mean of the lowest FFA concentration tested in the study, and the hypothetical next lower FFA concentration that would have been given had the series been extended (i.e., 0.162 meq of FFA/kg of milk for processing wk 1 and 0.158 meq of FFA/kg of milk for processing wk 2; Lawless and Heymann, 1998). Similarly, for those panelists who failed to correctly identify the odd milk sample at the highest FFA concentration, their individual BET were estimated as the geometric mean of the highest FFA concentration tested in the study and the hypothetical next higher FFA concentration that would have been given had the series been extended (i.e., 1.750 meq of FFA/kg of milk for processing wk 1 and 1.566 meq of FFA/kg of milk for processing wk 2) (Lawless and Heymann, 1998). For each of the four tasting sessions, the group BET was the geometric mean of the individual BET (Meilgaard et al., 1991; Lawless and Heymann, 1998).
Experiment 2Sensory Threshold of Off-Flavors Caused by Proteolysis
Milk processing. Milk samples collected from 50 Holstein cows at the Cornell Teaching and Research Center were screened for fat and protein content (AOAC, 2000; method number 33.2.31; 972.16) and SCC (AOAC, 2000; method number 17.13.01; 978.26) 3 d before milk collection. Six cows that produced milk with high SCC (>800,000 but <1,000,000 cells/ml) were selected.
On the day of milk collection, all the milk from one milking was collected separately from each of the cows producing high SCC milk. Milk yield was recorded. Raw milk from individual cows was immediately transported to Cornell Food Science Department Pilot Plant and rapidly cooled in ice to 4°C. Samples of the milk from each cow were taken and preserved with Bronopol tablets (Preservative System Limited, San Francisco, CA) and tested for SCC (AOAC, 2000; method number 17.13.01, 978.26). Based on the SCC results on the collection day, raw unpreserved milks from individual cows were commingled into one batch with high SCC (six cows, average 775,000 cells/ml).
The commingled high SCC raw milk was heated and separated at 49°C into skim and cream using a cream separator (model 100; DeLaval, Poughkeepsie, NY). Fat content of skim milk (Marshall, 1993; method number 15.8B) was determined by the Babcock method. Skim milk was immediately pasteurized (HTST, 76°C/30 s) in a shell and tube pasteurizer and cooled to 4°C. Pasteurization was confirmed by the phosphatase test (Charm PasLite method; Charm Science Inc., Malden, MA). Based on previous work (Ma et al., 2000), we expected that the native milk protease activity would be high in this milk, due to the high SCC, and that this protease activity would survive pasteurization (Richardson, 1983, Ma et al., 2000).
To serve as a low proteolysis control for detection of off-flavors caused by proteolysis, a portion of the fresh pasteurized skim milk was placed in plastic containers and immediately frozen at -40°C until needed for the sensory tests. Another portion of the pasteurized skim milk was injected with CO2 in a continuous flow shell and tube system at 2 to 3°C and then held at 6°C for 27 d to create a milk with a high degree of proteolysis. A target level of 2800 ppm of CO2 was added to milk to inhibit microbial growth (Hotchkiss et al., 1999) and thus avoid confounding effects of microbial derived off-flavors not associated with proteolysis that otherwise could develop during storage of the milk at 6°C for 27 d. Skim milk was used instead of 2% milk to avoid any confounding effects of fat degradation during milk storage. The CO2-treated skim milk was stored in dark plastic sealed containers for 27 d at 6°C to allow degradation of milk proteins by native milk proteases and development of associated off-flavor. After 24 d of storage, the frozen control skim milk was removed from a-40°C freezer and thawed during 48 h at 6°C. On d 26, both milks were carried through the process to remove the CO2. This was done by heating 1000-ml batches of milk to 50°C for 25 min using a rotary evaporator with heated water bath (Rotavapor model RE 111, Büchi Labortechnik AG, Switzerland), and removing the CO2 using a vacuum at 635 mm of Hg. After the CO2 removal, both milks were cooled to 6°C and prepared for sensory analysis.
Preparation of samples and sensory analysis The decrease in casein as a percentage of true protein (CN/TP) of low and high proteolysis skim milk was 0 and 4.76%, respectively. It was estimated from previous research (Ma et al., 2000) that the sensory threshold for detection of off flavor due to proteolysis would be about a 4% decrease in CN/TP. The two low and high proteolysis milks were poured into plastic cups with lids in advance of the panels. The high and low proteolysis milks were stored for several hours at 6°C and kept closed in coolers to protect them from light until served to the panelists.
Triangle tests were used to determine whether panelists could detect off-flavor caused by proteolysis in milk (Lawless and Heymann, 1998). The samples were provided to each panelist as two sets of three samples per set. The first set had two samples with low proteolysis and one with high proteolysis milk. The second set had two samples with high proteolysis and one with low proteolysis milk. The order of sample presentation was randomized. The panelist had to make a choice of the odd sample for the first set before they would receive the second set. Twenty-five panelists participated. The numbers of panelists that correctly selected the odd sample for each of the two sets were recorded.
| RESULTS AND DISCUSSION |
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Sensory Detection Threshold of Off-Flavors Caused by Lipolysis in Milk
The FFA concentrations in the ascending series of milk for replicate one and for replicate two are shown in Table 1
. The low FFA control replicate contained 0.11 meq of FFA/kg of milk and 0.12 meq of FFA/kg of milk for replicate two. The samples had a large enough range of FFA so that 83 out of 100 panelist had two adjacent increments where they correctly identified odd samples. The group BET were 0.320, 0.322, 0.351, and 0.316 meq of FFA/kg of milk for panel sessions one through four, respectively (Figure 1
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| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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| FOOTNOTES |
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Corresponding author: D. M. Barbano; e-mail:
dmb37{at}cornell.edu.
Received for publication May 27, 2002. Accepted for publication September 3, 2002.
| REFERENCES |
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