Several Aspects of Microbial Technology for Food Pasteurization and Sterilization

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, Vol. 10, No. 4, pp. 183-190, Dec. 2009 Several Aspects of Microbial Technology for Food Pasteurization and Sterilization Tetsuaki TSUCHIDO Department of Life Science and Biotechnology, Faculty of Chemistry, Materials and Bioengineering, Kansai University 3-3-35 Yamate-cho, Suita, Osaka 564-8680, Japan The results obtained from our studies on several aspects of food pasteurization and sterilization by cross-talk between microbiology and technology were presented. First, we found that the thermal death of Escherichia coli was affected by rising temperature and pre-incubation processes and it was suggested that the phase transition and phase separation of membrane lipids were involved in these phenomena. Second, we analyzed the kinetics of bacterial death by a combined treatment of heating with antimicrobial compounds and we presented two distinct modes depending upon the type of chemicals. Third, new methods for process evaluation and prediction of pasteurization effects, including the growth-delay analysis, the cell motion analysis and the analysis with the fluorescence of green fluorescent protein variants expressed in bacterial cell were proposed. And finally, we constructed the database of thermal death of microorganisms based upon the data which have appeared in articles published in 30 major academic journals. Also, some predictive models on the thermal death of bacterial spores in a buffer and liquid foods were predicted as influenced by several factors such as ph, the sodium chloride concentration and heating temperature. Keywords: pasteurization, sterilization, food, microbiology, technology. 1 [1] 2 2009 9 28 2009 11 4 564-86803-3-35 FAX: 06-6388-8609, E-mail: ttsuchi@ipcku.kansai-u.ac.jp [1] 2 1970 [2-5] 37 K12 OW6

184 0 37 30 10 18 ml 2 ml 50 55 37 0 Fig. 1 Fig. 237 22 Fig. 1 Preincubation effect on the thermal death of E. coli at 50. Cells grown at 37 were harvested, washed, preincubated at 0 () or 37 () for 30 min and then heated to 50 with 10- fold dilution method in 50 mm potassium phosphate buffer at ph 7.0. Fig. 2 Thermal death at 50 of E. coli cells grown at different temperatures after preincubaion at various temperatures. Cells were grown at 37 () or 15 (), preincubated for 30 min and then heated to 50 with 10-fold dilution method in 50 mm potassium phosphate buffer at ph 7.0. Solid and broken parts of line suggest the temperature ranges for the homogeneous liquid-crystalline phase and the phase separation state including the gel phase of membrane lipids, respectively. 0 22 15037 37 10 Fig. 2 100 19.8 ml 0.2 ml 22 30 15 10 4 0 30/min 30/ min 37 22 15 037 37

185 3 [6-9] 15DL Fig. 3 dn/dtkn N ml -1 t k min -1 kaexp (Ea/RT) Ea kj/molet KR A 0.53 1 10g/ml Fig. 3 k(k B T/h)exp (H /RT)exp (S /R) H S k B h H S H S S (1/T c ) H b T c b 61 kbc n Fig. 3 Arrhenius plots for the thermal death of E. coli in the presence of an amphoteric surfactant Tego 15DL (A) or sorbic acid (B). Concentrations used are indicated in the figure.

186 C n B Fig. 3 A S 2 C6 A C8C10 C12 S S 4 ATP GFP 4.1 [10-12] lhfig. 4 n k n 1 n k-1 l i Fig. 4 OD Fig. 5a h -1 Fig. 4 A model of the injury distribution in a stressed cell population exposed to a lethal treatment. Each cell in a fraction of the population, n i, has a lag time, li (i1, 2,, k). Fig. 5 Growth curves of intact and stressed cell populations as measured by optical density (a) and as supposed with the real number of survived cell (b).

187 12 NN 0 exp[(tl)] k NN 0n exp[(tl i i )] i1 1 2 0 1, 2,, k-1 k k n i 1 3 i1 k 1 k-1 n v 4 k-1 n i n v 4 i1 5 k n i exp ( i ) n i exp ( i ) i1 i 0 n v k-1 i1 5 52 6 NN 0 exp [(tl )] 6 1Fig. 5b N 0 N 0 Fig. 5 N a t c t16 N a N 0 exp [(t c l )] N a N 0 exp [(tl )] 78 exp[(tt c )] 7 8 Fig. 5 h exp () log/2.303 9 10 N a t c N 0 N 0 t c t c c log (N 0 /N 0 )(t c t c ) c 10 1 G 10 hn 0 N 0 /10 c G 10 10 G 10 2.303 11 10G 10 11 9 log/g 10 12 5 12 1/10 G 10 Table 1 48 2 OT-BS-48 [11] 4.2 [13-15] 2

188 Table 1 Advantages and disadvantages of the growth-delay analysis method and the bacterial motion analysis method in comparison with colony counting method. Item Advantage Disadvantage Growth-delay analysis method Growth method Simplenot necessary for dilution and plating Small experimental errors Many samples simultaneously available Applicable for chain-forming, clustering or mycelial-type cells Applicable to other growth assay methods available besides turbidity Time-consuming cultivation necessary Install cost necessary for an apparatus for measurement Computer software necessary for analysis of delay-time Bacterial motion method No-growth method Rapidly measurable (about 1 sec/screen for measurement, about 2 min for data analysis and about 3 min for sample preparation) Evaluation possible for both individual cell and cell mass levels Low running cost Simple operations Not available for non-motile, easily attaching, and morphologically changing microorganisms Distribution of motion speed in a cell population Install cost necessary for an image analyzer for measurement Restriction of three-dimensional motion. 0.05 1 50 Table 1 4.3 [16-17] GFP ph GFP pet21a G sspb GFP 1 YFP3.2 royfp GFP 2 GFP FRET GFP 5 HACCP 1996 [18-19] R

189 65 Fig. 6 1991 2000 R9100 1981 R8100 1981 2005 R8105 12,000 D 17,000 http://www.h7.dion.ne.jp/~tbx-tkdb/ [20-22] ph R 6 Aswathanarayana Jagannath 1) T. Tsuchido; Studies on microbiological basis of microorganism control-stress microbiology and control of microorganisms (in Japanese). J. Antibacterial Antifungal Agents, 32, 251-263 (2004). 2) T. Tsuchido, M. Takano, I. Shibasaki; Effect of temperatureelevating process on the subsequent isothermal death of Escherichia coli K-12. J. Ferment. Technol., 52, 788-792 (1974). 3) N. Katsui, T. Tsuchido, M. Takano, I. Shibasaki; Effect of preincubation temperature on the heat resistance of Escherichia coli having different fatty acid compositions. J. Fig. 6 An example of the screen for presentation of data in ThermoKill Database R.

190 Gen. Microbiol., 122, 357-361 (1981). 4) T. Tsuchido, M. Hayashi, M. Takano, I. Shibasaki; Alteration of thermal resistance of microorganisms in a nonisothermal heating process. J. Antibacterial Antifungal Agents, 10, 105-109 (1981). 5) N. Katsui, T. Tsuchido, M. Takano, I. Shibasaki; Viability of heat-stressed cells of microorganisms as influenced by preincubation and postincubation temperatues. J. Appl. Bacteriol., 53, 103-108 (1982). 6) Tsuchido, I. Shibasaki; Kinetics of microbial death by combined treatment with heat and antimicrobial agents. Biotechnol. Bioeng., 22, 107-118 (1980). 7) T. Tsuchido, T. Saeki, I. Shibasaki; Death kinetics of Escherichia coli in a combined treatment of heat and monolaurin. J. Food Safety, 3, 57-68 (1981). 8) H. Yamanaka, T. Tsuchido; Death kinetics for Escherichia coli cells heated in the presence of short- and mediumchain fatty acids. Biocontrol Sci., 5, 17-23 (2000). 9) T. Tsuchido; Combined effects of antimicrobial agents and heating on microorganisms. A monograph (in Japanese). Hakkokogaku, 55, 144-155 (1977). 10) M. Takano, T. Tsuchido; Availability of growth delay analysis for the evaluation of total injury in stressed bacterial population. J. Ferment. Technol., 60, 189-198 (1982). 11) T. Tsuchido, T. Koike, M. Takano; A modified assessment of growth inhibition from growth-delay time in a cell population exposed to an environmental stress. J. Ferment. Bioeng., 67, 132-134 (1989). 12) T. Tsuchido; A simple viability measurement for microorganism control. A theory and application of the growth-delay analysis method (in Japanese). Gien, 71, 59-62 (1992). 13) T. Tsuchido, H. Takecuhi, H. Kawahara, H. Obata; Evaluation of bacterial injury by image analysis of cell motion. J. Ferment. Bioeng., 78, 185-187 (1994). 14) T. Tsuchido, K. Yasunaga, Y. Matsumura, K. Oku; Efficacy evaluation of antimicrobial compounds by dynamic image analysis of bacterial motion. In Biodeterioration and Biodegradation (Proc. 10 th Int. Biodeterioration Biodegradation Symp., Hamburg), Ed. by W. Sand, pp.45-50 (1996). 15) T. Tsuchido, K. Yasunaga, Y. Matsumura, K. Oku; Use of a tumbling-defective mutant of Escherichia coli for evaluation of pollutant toxicity by dynamic image analysis of bacterial motion. Biocontrol Sci., 1, 61-63 (1996). 16) T. Tsuchido, J. J. Sakamoto; Killing of bacteria by induction of membrane damage and its monitoring as a membranestress biotechnology (in Japanese). Seibutsukogaku-kaishi (J. Soc. Biotechnol.), 82, 193-196 (2004). 17) T. Tsuchido, J. J. Sakamoto; An outline of stress microbiology for control of harmful microorganisms (in Japanese). Jpn. J. Food Microbiol., 26, 70-75 (2009). 18) I. Nakamura, T. Yokohara, T., T. Tsuchido; Database of microbial thermal death. Its construction design based on data from published papers and from experiments performed under defined conditions. Biocontrol Sci., 5, 61-64 (2000). 19) T. Abe, I. Nakamura, T. Yokohara, Y. Omura, T. Hiraga, T. Tsuchido; Construction of ThermoKill Database R8100, an expanded version of a microbial thermal death database developed on the basis of information in research papers published from 1981 to 2000. Biocontrol Sci., 12, 35-38 (2007). 20) A. Jagannath, I. Nakamura, T. Tsuchido; Modelling the combined effect of ph, temperature, and sodium chloride stresses on the thermal inactivation of Bacillus subtilis spores in a buffer system. J. Appl. Micribiol., 95, 135-141 (2003). 21) A. Jagannath, T. Tsuchido; Validation of a polynominal regression model: The thermal inactivation of Bacillus subtilis spores in milk. Lett. Appl. Microbiol., 37, 399-404 (2003).. 22) A. Jagannath, T. Tsuchido, J.-M. Membre; Comparison of the thermal inactivation of Bacillus subtilis spores in foods by using the modified Weibull and Bigelow equations. Food Microbiol. 22, 233-239 (2005). 2