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Department of Food Science, Nutrition and Health Promotion, Mississippi State University, Mississippi State 39762
1 Corresponding author: schilling{at}foodscience.msstate.edu
| ABSTRACT |
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Key Words: pasteurization temperature consumer acceptability sensory analysis fluid milk shelf-life
| INTRODUCTION |
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Although it has been reported that many processing plants already operate at temperatures well above the minimum standards (Erba et al., 1997; C. H. White, unpublished data, 2005), little work has been published describing the changes in sensory attributes or consumer acceptance of fluid milk that is pasteurized at higher temperatures. The shelf-life of the bottled fluid milk in the United States is reported to average between 10 and 21 d when stored at 4 to 8°C (Allen and Joseph, 1985; Chapman et al., 2001). The shelf-life varies depending on raw milk quality, processing conditions, microbial growth, packaging materials, temperature abuse, and exposure to light (TetraPak Processing Systems, 2000; Simon and Hansen, 2001). The dairy industry is able to achieve a 45-d shelf-life through the use of ultrapasteurization processes; however, this method of heat treatment imparts a strong cooked flavor in the milk that consumers, especially children, may find undesirable (Chapman and Boor, 2001). Because of milks naturally mild, slightly sweet flavor, the development of any off-flavors is particularly noticeable in the product. There are many causes of off-flavors including feed sources, postpasteurization contamination, artificial or natural light exposure, storage temperature, and packaging materials. Researchers have concluded that the development of objectionable flavors in pasteurized milk is generally a result of bacterial growth (Simon and Hansen, 2001), and unpleasant aromas in fluid milk are characteristic of milk spoilage (Hayes et al., 2002). Minimal research was encountered in the literature that describes the effect that changing HTST pasteurization temperature has on sensory attributes of the product as perceived by consumers. There is an apparent need in the industry for studies on HTST pasteurized fluid milk similar to the work performed by Chapman et al. (2001). These researchers characterized the sensory attributes of ultrapasteurized milk through quantitative descriptive analysis and principal components analysis (PCA).
Researchers have utilized multiple extraction techniques (Bendall, 2001; Simon and Hansen, 2001; Toso et al., 2002) in pursuit of identification and quantitative measurement of volatile compounds responsible for off-flavors in bovine milk. Christensen and Reineccius (1992) reported that heated milk off-flavor is due to an increase in the concentration of sulfur compounds. However, these researchers also found that sulfur volatile compounds reached maximum levels after moderate heat treatments and then remained the same or decreased following more severe heat treatments. Contarini and Povolo (2002) studied the effect of heat treatments on volatile compounds in commercially processed milk samples using headspace–solid-phase microextraction (HS-SPME) and GC. These researchers identified 11 compounds, most of which belonged to the ketone family. Ketones with a higher molecular weight such as 2-heptanone, 2-pentanone, and 2-undecanone increased in direct correlation with the more severe heat treatments.
The primary objective of this research was to determine the effect of pasteurization temperature on the consumer acceptability and shelf-life of fluid milk. The secondary objective was to use descriptive analysis to characterize differences in fluid milk due to increased pasteurization temperatures over storage time. The final objective of this research was to use PCA to relate consumer acceptability data to sensory descriptors, volatile compounds, and shelf-life.
| MATERIALS AND METHODS |
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Shelf-Life/Expert Judges
Four expert judges skilled in the use of the American Dairy Science Association (ADSA) milk scorecard conducted shelf-life determinations throughout the course of this study. The judges began evaluations of the milk 7 d after pasteurization and continued tasting each sample daily until the end of shelf-life was reached for all samples. The shelf-life of each sample was considered to be 1 d before the day that judges scored it unacceptable from a sensory standpoint. Unacceptable samples were ones that would ordinarily be given a value of 5 or lower on the ADSA scorecard. Therefore, if a sample were judged unacceptable at 15 d, the shelf-life for that sample was recorded as 14 d. For the first 3 replications, expert judges tasted 3 samples for each treatment from previously unopened jugs. For replications 4 through 6, judges tasted 2 samples for each treatment (77, 79, 82, and 85°C) from previously unopened jugs. A third plastic jug was opened in the event that one sample of a treatment temperature was scored as objectionable (a score of 5 or below) while the other sample of the treatment temperature was still acceptable, which is a practice commonly used in the dairy industry (C. H. White, unpublished data, 2005). Once 2 or more samples of each treatment were scored at 5 or below, the treatment was considered to have passed its shelf-life.
Consumer Acceptability
Consumer panels were conducted on d 0 (day of pasteurization) and d 6 for all 6 replications in this study. All consumer evaluations were performed at Garrison Sensory Evaluation Laboratory, Mississippi State University. Participants were recruited from the department, university, and surrounding community. Panelists evaluated the 4 temperature treatments and a control (79°C) from the dairy plants daily production for a total of 5 milk samples. The control samples were used to verify that the 79°C treatment in the study was similar in consumer acceptability to treatments that are produced daily in the plant. All samples for consumer tests, as well as descriptive and instrumental analysis, were poured in dim lighting. Consumers received 28.4 mL of milk sample in hot/cold insulated cups with snap on lids (Dart Container Corporation, Mason, MI). Samples were labeled with random 3-digit numbers and the order of samples was randomized on the score sheets. Panelists were asked to expectorate and rinse their mouths with water (Mountain Spring Water, Blue Ridge, GA) between each sample. The score sheets directed panelists to evaluate the milk samples on the attributes of "flavor" and "overall liking" using a 9-point hedonic scale (Meilgaard et al., 1991). A minimum of 50 panelists performed the evaluations on each test day.
Descriptive Sensory Analysis
Eight panelists were trained in descriptive evaluation of fluid milk attributes over a 2-mo period (approximately 35 h). The panelists ranged in age from mid 20s to early 40s, and the sex ratio was balanced. All panelists were recruited from the Department of Food Science, Nutrition and Health Promotion, Mississippi State University, and were selected based on availability, willingness to participate, and prior experience on trained panels.
Evaluations were performed via round table in a temperature-controlled descriptive analysis room separated from the preparation area. Commercially available fluid milk as well as food and chemical references were used for panelists training. Each training session lasted approximately 1 h. Panelists evaluated samples and discussed their sensory descriptors. During training sessions, panelists generated 4 aroma and 7 flavor attributes (Table 1
) that were included on the score sheet. The attributes were scored on a 15-point numerical intensity scale (Meilgaard et al., 1991) where 0 = none and 15 = extreme. In addition to the established attributes, unlabeled intensity scales allowed assessors to write in other perceived aromas or flavors as detected.
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Volatile Flavor Compounds
Sample Preparation.
Solid-phase microextraction was utilized to extract the volatile flavor compounds from the milk samples. An aliquot (10 mL) of each treatment was placed in a precleaned 40-mL amber vial (40 mL; outside diameter: 28 mm x height: 98 mm; Supelco, St. Louis, MO) with a screw cap, a Teflon silica septum (tan polytetrafluoroethyelene/white silicone; outside diameter: 22 mm x thickness: 31.75 mm; Supelco), and a magnetic stirring bar (diameter: 8 mm x length 13 mm, magnetic octagonal bar; Fisher, Pittsburgh, PA) for agitation of samples, and tightly closed. The internal standard solution (1,3-dichlorobenzene; Sigma-Aldrich Chemical Co., Milwaukee, WI), which was prepared (1 mg/kg, vol/vol) using high-resolution GC-grade methanol (EMD Chemicals Inc., Gibbstown, NJ), was added (1 µL) into the vial for quantification of the relative abundance (mg/kg) of detected volatile odor chemicals. The sample was stored at room temperature (21°C) for 30 min to allow for equilibration between the sample and the headspace within the vial. Volatile compounds were extracted from the head-space of the sample using a StableFlex 1-cm 50/30-µm 3-phase (divinylbenzene/carboxen/polydimethylsiloxane) SPME fiber that was stabilized at 50°C along with the sample using a heating block (Reacti-Therm, Pierce Biotechnology Inc., Rockford IL) for 30 min. The SPME fiber was injected into a Varian 3900 gas chromatograph equipped with a CP-1177 split/splitless injector (Varian Inc., Walnut Creek, CA). Volatile compounds were analyzed in triplicate for each sample.
GC-Mass Selective Detector.
Samples were screened using a GC-mass selective detector (GC-MSD) to obtain a general understanding of the volatile flavor compounds that were present in the milk pasteurization treatments at different days during their shelf-life. The GC-MSD consisted of a Varian 3900 gas chromatograph and a Saturn 2100T ion-trap mass selective detector (MSD, Varian Inc.) equipped with an Rtx-5 (Crossbond 5% diphenyl-95% dimethyl polysiloxane) capillary column (Restek, Bellefonte, PA) with the following dimensions: 30 m length x 0.25 mm i.d. x 0.25 µm film thickness. The GC conditions were as follows: injection port, 225°C; oven temperature program: 40°C for 1 min, increased at 13°C/min to 250°C, and held for 1 min (total running time of 18.15 min). The conditions of the MSD were as follows: interface temperature, 250°C; ionization energy, 70 eV; mass range, 33 to 350 amu; scan rate, 2.2 scans/s. Ultra-high-purity helium was used as the carrier gas at a constant flow rate of 0.96 mL/min. Volatile compounds were identified using the NIST 02 library (National Institute of Standards and Technology, Gaithersburg, MD). The following chemical standards were injected into the GC-MSD to verify a subset of the compounds that were tentatively identified using the mass spectral data associated with the compounds and the NIST 02 library: 2-butanone and 2-heptanone (Acros Organics, Pittsburgh, PA), 1-butanol (Fisher Scientific), and butanoic acid, limonene, hexanoic acid, hexenol, propionic acid, phenol, methyl isobutyl ketone, and ethanol (Sigma-Aldrich Chemical Co.).
Statistical Analysis
A randomized complete block design with 6 replications was used to analyze the effects (P < 0.05) of fluid milk pasteurization treatment on shelf-life and consumer acceptability. The least significant difference (LSD) test was used to separate means when differences occurred. Agglomerative hierarchical clustering (XLStat, 2006, Addinsoft USA, New York, NY) was performed to cluster consumers together based on their liking and preference of milk pasteurization treatments. Dendrograms and dissimilarity plots were utilized to determine the appropriate number of clusters that should be used to group consumers. Descriptive sensory attributes and volatile composition data were analyzed using PCA (SAS Institute, 2002) to differentiate between milk pasteurization treatments.
| RESULTS AND DISCUSSION |
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Cluster Analysis
Cluster analysis was used to further understand the consumer acceptability of fluid milk. Consumers were grouped into 8 clusters (Tables 3
and 4
) based on treatment preference at d 0 and d 6 postpasteurization. Each cluster represented consumers with similar milk preferences. The analysis of acceptability by consumer segments served as a functional indicator for the dairy industry of potential implications for changes to the pasteurization process upon purchaser preference.
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20 s (C. H. White, unpublished data, 2007). In cluster 4, panelists preferred (P < 0.05) milks processed at 79 and 82°C, which they "liked moderately," whereas they "liked slightly" 85°C and "disliked slightly" 77°C treatments. Consumers in cluster 5 preferred (P < 0.05) 79 and 85°C treatments. The sixth cluster, which contained 8% of consumers, "neither liked nor disliked" 85°C milk, whereas other samples were in the "like moderately" to "like very much" range. Perhaps this cluster did not like the cooked flavor associated with the higher pasteurization temperature. The largest number of consumers was in cluster 7. These consumers "liked moderately" to "liked very much" all samples of milk. The final group of consumers on d 0 preferred (P < 0.05) 77 and 79°C milks over the other samples, followed by 82°C and then 85°C milks.
Day 6 Cluster Analysis.
Consumers from the d 6 taste panel were also grouped into 8 clusters based on milk preferences. In cluster 2, 85°C was the most preferred treatment with a mean overall acceptability score corresponding to "like moderately" on the hedonic scale. This group (15% of consumers) must have liked the cooked flavor of this sample, whereas in general they do not find milk very acceptable. This is an interesting consideration, because perhaps there are small segments of consumers who do not typically consume fluid milk but might if the product had a more cooked flavor brought on by higher pasteurization temperatures. On the other hand, consumers in cluster 4 "disliked slightly" to "disliked moderately" the higher treatment temperatures (82 and 85°C), likely due to the cooked flavor. Cluster 5 preferred (P < 0.05) 79, 82, and 85°C treatments over the lowest pasteurization temperature (77°C). Cluster 6 contained the second-largest segment of consumers, and this group preferred treatment 85°C, followed by 79°C, and then 77°C and 82°C. Cluster 7 demonstrated an interesting contrast in milk preferences. Although cluster 6 preferred 85°C, cluster 7 rated that treatment the lowest. Furthermore, whereas cluster 6 rated the 82°C treatment a mean score of 5.3, cluster 7 preferred this treatment temperature above the others and rated it 7.5, which is between "like moderately" and "like very much" on the hedonic scale. Cluster 8 had the largest number of consumers (30%), and this group found all treatment temperatures to be very acceptable.
Descriptive Analysis
Milks that were pasteurized at 4 different temperatures were differentiated by aroma and flavor attributes using PCA (Figure 1
). The PCA biplot is useful for understanding the differences observed. According to the eigenvalues, the majority (65.2%) of variation was explained by dimension 1, the attributes that are closer to the horizontal axis. Dimension 2 explained 14.2% of variation in milk samples. Thus, samples spaced further apart on the biplot were perceptually more different than samples found closer together (Dijksterhuis, 1997).
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Volatile Flavor Compounds
When results from the GC-MSD analysis are plotted on the PCA biplot (Figure 2
), it is again clear that there were changes in the product over its shelf-life. In the present study, component 1 (horizontal) accounted for 37.5% of the variation, whereas component 2 explained 18.2% of the variation. Starting on d 0 (day of pasteurization), the 77°C treatment was highly correlated with the volatile compound hydroxylamine, as well as phenol and butanoic acid. The 79°C treatment was associated with greater concentrations of hydroxylamine, phenol, butanoic acid, hexanoic acid, and hexanol. Yet, the 79°C treatment was also associated with the compounds benzoic acid, p-xylene, nonanone, and eugenol to a lesser extent. The 82°C treatment was characterized by compounds such as benzoic acid, p-xylene, nonanone, and eugenol. Vazquez-Landaverde et al. (2005) determined that 2-nonanone was not an important aroma contributor in raw and pasteurized milk samples. At d 0, the 85°C treatment is perceptually the most different from the other treatments. This treatment is plotted in the lower right quadrant, alongside compounds such as hexenol, decane methyl, tetrahydrofuran, butanone, and hydroperoxide.
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| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication November 5, 2007. Accepted for publication January 7, 2008.
| REFERENCES |
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