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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 羅翊禎(Yi-Chen Lo) | |
dc.contributor.author | Ching-Hsiang Chang | en |
dc.contributor.author | 張景翔 | zh_TW |
dc.date.accessioned | 2021-06-08T03:27:34Z | - |
dc.date.copyright | 2020-03-13 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-12-18 | |
dc.identifier.citation | 105 年食品中毒發生與防治年報。2017。衛生福利部食品藥物管理署,取自:https://www.fda.gov.tw/upload/ebook/bookcase/bookcase.html
牛會敏、李苗雲、趙改名、張秋會、田瑋、黃現青與孫靈霞。2013。低温條件下冷卻猪肉中假單胞菌生長模型的比較分析。食品科學。34(5): 142-146。 王韋仁。2010。臺灣市售飲料微生物檢測及衛生標準評估。國立臺灣大學,台北市。 王素梅,李河水,葉雲萱,鄒沂庭與羅壽湖。2010年。2010年台灣食品消費分析文集。新竹:食品工業發展研究所。 王素梅,鄒沂庭與黃佩雯。2013年。2012台灣飲品新品分析及未來發展趨勢。新竹:食品工業發展研究所。 王素梅與李河水。2009。台灣穀奶產品逐漸展露頭角。食品市場資訊。98 (12): 30-31。 行政院財政部。2018。飲料品容器成本通常標準。中華民國107年12月11日台財稅字第10704667580號令訂定。 行政院衛生福利部。2008。97年食品衛生中毒事件與防治宣導。台北:行政院衛生署。 行政院衛生福利部。2012。食品微生物之檢驗方法-生菌數之檢驗。中華民國101年11月19日行政院衛生署署授食字第1011902832號公告。 行政院衛生福利部。2013。飲料類衛生標準。中華民國 102 年 08 月 20 日部授食字第 1021350146 號令修正。 行政院衛生福利部。2017。大豆製品之食品製造業者良好衛生作業指引。中華民國 106 年 6 月 7 日衛授食字第 1051304480 號函發布。 行政院衛生福利部。2017。食品安全衛生管理法施行細則。中華民國106年07月13日行政院衛生署福利部衛授食字第1061300653號令修正。 行政院環境保護署。2017。飲用水水質標準。中華民國106年1月10日行政院環境保護署環署毒字第1060000881號令修正。 吳克慧與林阿洋。1995。市售黃豆加工品及果凍中仙人掌桿菌及大腸桿菌之調查。藥物食品檢驗局調查研究年報。348-351。. 吳敬恆。1997。預測微生物學模式之建立以評估溫度對素食中金黃色葡萄球菌生長之影響,國立中興大學,台中市。 宋樹憲。1998。微生物預測模式在冷藏米製糕點架售期管理之應用。東海大學,台中市。 李苗雲、楊向瑩、張秋會、趙改名、黃現青、高曉平與柳艷霞。2010。冷卻豬肉中特定腐敗菌生長動力學參數的分析研究。食品與生物技術學報。29(2): 211-214。 李時珍。2017。本草綱目(第四卷)。台北:崧博出版事業有限公司。 武漢大學。中國典型培養物保藏中心資料庫。取自:http://www.cctcc.org/ 食品工業發展研究所。2007年。2007年台灣食品消費調查統計年鑑。新竹:食品工業發展研究所。 國家教育研究院。雙語詞彙、學術名詞暨辭書資訊網。取自:http://terms.naer.edu.tw/detail/33641。 張洳楣、管麗珍、賴宣陽、蔡玉雲與廖俊亨。2000。中部地區連鎖專賣店冰品飲料之衛生調查。藥物食品檢驗局調查研究年報。18: 167-170。 許清曉。2000年。炭疽病(anthrax):人畜共通的致命炭疽桿菌(Bacillus anthracis)感染。疫情報導。16(7): 228-233。 陳美蓮、毛義方與藍忠孚。1996。各類市售飲料的酸鹼度、酸度及重金屬含量研究。中華衛誌。15(2): 109-115。 黃三龍。1992。豆腐之微生物品質與安全性。食品工業25(10): 22-30。 鄒沂庭、王素梅、李河水。2011。全球豆穀奶新品發展動向分析。食品市場資訊 100(7): 13-15。 鄒沂庭、王素梅與李河水。2010。從燕麥類產品發展演進看台灣燕麥奶之崛起與成功要素。台灣食品科學技術學會第四十次會員大會壁報發表。台中:中興大學。 蔡文瑛、蘇婷與劉妙春。1987。豆腐、豆花、豆乾等黃豆加工品中仙人掌桿菌污染之調查。藥物食品檢驗局調查研究年報。5: 239-241。 衛生福利部食品藥物管理署。食藥闢謠專區。取自:https://www.fda.gov.tw/Tc/newsContent.aspx?cid=5049&id=24020 衛生福利部食品藥物管理署。國家攝食資料庫。取自http://tnfcds.cmu.edu.tw。 戴吟芳。2011。兩條基因序列間差異度衡量指標之研究。國立成功大學,台南市。 Agata, N.; Ohta, M.; Yokoyama, K., Production of Bacillus cereus emetic toxin (cereulide) in various foods. International journal of food microbiology 2002, 73 (1), 23-27. Akaike, H., A new look at the statistical model identification. In Selected Papers of Hirotugu Akaike, Springer: 1974; pp 215-222. Altschul, S. F.; Madden, T. L.; Schäffer, A. A.; Zhang, J.; Zhang, Z.; Miller, W.; Lipman, D. J., Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic acids research 1997, 25 (17), 3389-3402. André, S.; Vallaeys, T.; Planchon, S., Spore-forming bacteria responsible for food spoilage. Research in microbiology 2017, 168 (4), 379-387. Ash, C.; Farrow, J. A.; Dorsch, M.; Stackebrandt, E.; Collins, M. D., Comparative analysis of Bacillus anthracis, Bacillus cereus, and related species on the basis of reverse transcriptase sequencing of 16S rRNA. International Journal of Systematic and Evolutionary Microbiology 1991, 41 (3), 343-346. Asuquo, N. E.; Antai, S. P., Microbiological and Biochemical Analysis of Soymilk Produced and Sold within Calabar Metropolis. British Microbiology Research Journal 2017, 21(2): 1-8. Augustin, J. C.; Brouillaud-Delattre, A.; Rosso, L.; Carlier, V., Significance of Inoculum Size in the Lag Time ofListeria monocytogenes. Applied and Environmental Microbiology 2000, 66 (4), 1706-1710. Bandla, S.; Choudhary, R.; Watson, D. G.; Haddock, J., UV-C treatment of soymilk in coiled tube UV reactors for inactivation of Escherichia coli W1485 and Bacillus cereus endospores. LWT-food Science and Technology 2012, 46 (1), 71-76. Baranyi, J.; Roberts, T. A., A dynamic approach to predicting bacterial growth in food. International journal of food microbiology 1994, 23 (3-4), 277-294. Baranyi, J.; Roberts, T.; McClure, P., A non-autonomous differential equation to model bacterial growth. Food microbiology 1993, 10 (1), 43-59. BLAST - Basic Local Alignment Search Tool. Available from: https://blast.ncbi.nlm.nih.gov/Blast.cgi Buchanan, R.; Whiting, R.; Damert, W., When is simple good enough: a comparison of the Gompertz, Baranyi, and three-phase linear models for fitting bacterial growth curves. Food microbiology 1997, 14 (4), 313-326. Burnham, K. P.; Anderson, D. R., Multimodel inference: understanding AIC and BIC in model selection. Sociological methods & research 2004, 33 (2), 261-304. Chen, Y.-L.; Lee, C.-C.; Lin, Y.-L.; Yin, K.-M.; Ho, C.-L.; Liu, T., Obtaining long 16S rDNA sequences using multiple primers and its application on dioxin-containing samples. BMC bioinformatics 2015, 16 (18), S13. China Center for Type CultureCollection. Available from: http://www.cctcc.org/sci/microbe_common/search_result.php?ptzyh=1512C0002010000214 Cohn, F., Untersuchungen über Bakterien. Beitrage zur Biologie der Pflanzen. 1 Heft 2. 1872. Daelman, J.; Vermeulen, A.; Willemyns, T.; Ongenaert, R.; Jacxsens, L.; Uyttendaele, M.; Devlieghere, F., Growth/no growth models for heat-treated psychrotrophic Bacillus cereus spores under cold storage. Int. J. Food Microbiol. 2013, 161 (1), 7-15. Davey, K. R., A predictive model for combined temperature and water activity on microbial growth during the growth phase. Journal of Applied Bacteriology 1989, 67 (5), 483-488. Euzéby, J. P., List of Bacterial Names with Standing in Nomenclature: a folder available on the Internet. International Journal of Systematic and Evolutionary Microbiology 1997, 47 (2), 590-592. Eze, C.; Eze, E.; Agbo, E., Isolation And Characterization Of The Bacterial Flora Of Soy Milk Sold In Nsukka Market. Plant Products Research Journal 2008, 12 (1), 23-26. Ezeigbo, O.; Ekaiko, M.; Kalu, T.; Nwodu, J., Quality Assessment of Soymilk Sold in Aba, Southeastern Nigeria. Fakruddin, M.; Mazumder, R. M.; Mannan, K. S. B., Predictive microbiology: modeling microbial responses in food. Ceylon Journal of Science (Bio. Sci.) 2011, 40 (2), 121-131. Fazlara, A.; Yavari, V.; Abhari Segonbad, H.; Rajabzadeh Ghatromi, E., Predictive models for evaluation of mesophilic and psychrophilic bacterial loads in muscles of fresh ice-stored silver pomfret by impediometric technique. Iranian Journal of Fisheries Sciences 2014, 13 (2), 303-318. Feresu, S.; Nyati, H., Fate of pathogenic and non‐pathogenic Escherichia coli strains in two fermented milk products. Journal of Applied Bacteriology 1990, 69 (6), 814-821. Fernández, P. S.; George, S. M.; Sills, C. C.; Peck, M. W., Predictive model of the effect of CO2, pH, temperature and NaCl on the growth of Listeria monocytogenes. International journal of food microbiology 1997, 37 (1), 37-45. Giannuzzi, L.; Pinotti, A.; Zaritzky, N., Mathematical modelling of microbial growth in packaged refrigerated beef stored at different temperatures. International Journal of Food Microbiology 1998, 39 (1-2), 101-110. Granum, P.; Brynestad, S.; O'sullivan, K.; Nissen, H., Enterotoxin from Bacillus cereus: production and biochemical characterization. Netherlands Milk and Dairy Journal (Netherlands) 1993, 47:63-70. Harvest, D. O. P., Microbiological Analysis Of Soy Milk Produced From Soybean. IOSR-JBB 2015, 1 (5), pp41-42. Huang, L., Growth kinetics of Listeria monocytogenes in broth and beef frankfurters—determination of lag phase duration and exponential growth rate under isothermal conditions. Journal of food science 2008, 73 (5), E235-E242. Huang, L., Introduction to USDA Integrated Pathogen Modeling Program (IPMP) 2013. Huang, L., Optimization of a new mathematical model for bacterial growth. Food Control 2013, 32 (1), 283-288. Janssen, P. H., Identifying the dominant soil bacterial taxa in libraries of 16S rRNA and 16S rRNA genes. Appl. Environ. Microbiol. 2006, 72 (3), 1719-1728. Kalogridou-Vassiliadou, D., Biochemical activities of Bacillus species isolated from flat sour evaporated milk. Journal of dairy science 1992, 75 (10), 2681-2686. Kanawjia SK and Singh S. (2002). Technological advances in Paneer making. Indian Dairyman 52: 45-50. Khodke, S. U.; Shinde, K. S.; Yenge, G. B., A study on the storage of sterilized soymilk. International Journal of Farm Sciences 2015, 4 (4), 166-179. Kwok, K. C.; Niranjan, K., Effect of thermal processing on soymilk. International journal of food science & technology 1995, 30 (3), 263-295. Laodheerasiri, S.; Horana Pathirage, N., Antimicrobial activity of raw soybean, soybean flour and roasted soybean extracted by ethanol-hexane method. British Food Journal 2017, 119 (10), 2277-2286. Leuschner, R.; O'callaghan, M.; Arendt, E., Bacilli spoilage in part‐baked and rebaked brown soda bread. Journal of food science 1998, 63 (5), 915-918. López, S.; Prieto, M.; Dijkstra, J.; Dhanoa, M. S.; France, J., Statistical evaluation of mathematical models for microbial growth. Int. J. Food Microbiol. 2004, 96 (3), 289-300. Lu, J. L. Z. Y. T., Study on antimicrobial activity of soybean isoflavones [J]. Natural Science Journal of Harbin Normal University 2004, 1, 22. Ma, X.; Hu, X.; Liu, L.; Li, X.; Ma, Z.; Chen, J.; Wei, X., The quality changes and microflora analysis of commercial instant soya milk. Food science & nutrition 2017, 5 (1), 123-130. Mataragas, M.; Drosinos, E. H.; Vaidanis, A.; Metaxopoulos, I., Development of a predictive model for spoilage of cooked cured meat products and its validation under constant and dynamic temperature storage conditions. Journal of food science 2006, 71 (6), M157-M167. Mataragas, M.; Drosinos, E.; Vaidanis, A.; Metaxopoulos, I., Development of a predictive model for spoilage of cooked cured meat products and its validation under constant and dynamic temperature storage conditions. Journal of food science 2006, 71 (6), M157-M167. McKellar, R.; Knight, K., A combined discrete–continuous model describing the lag phase of Listeria monocytogenes. Int. J. Food Microbiol. 2000, 54 (3), 171-180. McMeekin, T.; Baranyi, J.; Bowman, J.; Dalgaard, P.; Kirk, M.; Ross, T.; Schmid, S.; Zwietering, M., Information systems in food safety management. International journal of food microbiology 2006, 112 (3), 181-194. Meloun, M.; Militky, J., Statistical data analysis: A practical guide. Woodhead Publishing, Limited: 2011. Mellefont, L. A.; Ross, T., The effect of abrupt shifts in temperature on the lag phase duration of Escherichia coli and Klebsiella oxytoca. International journal of food microbiology 2003, 83 (3), 295-305. Mellefont, L. A.; McMeekin, T. A.; Ross, T., The effect of abrupt osmotic shifts on the lag phase duration of foodborne bacteria. International journal of food microbiology 2003, 83 (3), 281-293. Odu, N.; Egbo, N., Assessment of the effect of different preservatives on the keeping quality of soymilk stored at different temperatures. Nature and Science 2012, 10 (9), 1-9. Oh, S. M.; Kim, C. S.; Lee, S. P., Characterization of the Functional Properties of Soy Milk Cake Fermented by Bacillus sp. Food Science and Biotechnology 2006, 15 (5), 704-709. Parte, A. C., LPSN—list of prokaryotic names with standing in nomenclature. Nucleic acids research 2013, 42 (D1), D613-D616. Patil, A. G.; Praveen Kumar, S. K.; Mulimani, V. H.; Veeranagouda, Y.; Lee, K., α-galactosidase from Bacillus megaterium VHM1 and its application in removal of flatulence-causing factors from soymilk. Journal of Microbiology and Biotechnology 2010, 20 (11), 1546-54. Pla, M.-L.; Oltra, S.; Esteban, M.-D.; Andreu, S.; Palop, A., Comparison of primary models to predict microbial growth by the plate count and absorbance methods. BioMed research international 2015, 2015. Ponnusha, B. S.; Subramaniyam, S.; Pasupathi, P., Antioxidant and Antimicrobial properties of Glycine Max-A review. Int J Cur Bio Med Sci. 2011, 1 (2), 49-62. Shurtleff, W.; Aoyagi, A., Li Yu-Ying (Li Shizeng)-History of His Work with Soyfoods and Soybeans in France, And His Political Career in China and Taiwan (1881-1973). Soyinfo Center: 2011. Stewart, G. C., The exosporium layer of bacterial spores: a connection to the environment and the infected host. Microbiol. Mol. Biol. Rev. 2015, 79 (4), 437-457. Swinnen, I. A. M.; Bernaerts, K.; Dens, E. J.; Geeraerd, A. H.; Van Impe, J. F., Predictive modelling of the microbial lag phase: a review. International journal of food microbiology 2004, 94 (2), 137-159. The USDA Integrated Pathogen Modeling Program (IPMP 2013) for the Windows operating system; Available from: https://www.ars.usda.gov/northeast-area/wyndmoor-pa/eastern-regional-research-center/docs/ipmp-2013/ Turnbull, P. C. B., Bacillus. In Medical Microbiology, 4 th; Baron, S., Eds. University of Texas Medical Branch at Galveston. Uemura, K.; Takahashi, C.; Kobayashi, I, Inactivation of Bacillus subtilis spores in soybean milk by radio-frequency flash heating. Journal of food engineering 2010, 100 (4), 622-626. Vignali, C.; Kenyon, A. J.; Li, H.; Xie, G.; Edmondson, A., Evolution and limitations of primary mathematical models in predictive microbiology. British Food Journal 2007, 109: 608-626. Villalobos, M. d. C.; Serradilla, M. J.; Martín, A.; Ordiales, E.; Ruiz‐Moyano, S.; Córdoba, M. d. G., Antioxidant and antimicrobial activity of natural phenolic extract from defatted soybean flour by‐product for stone fruit postharvest application. Journal of the Science of Food and Agriculture 2016, 96 (6), 2116-2124. Walls, I.; Scott, V. N., Use of predictive microbiology in microbial food safety risk assessment. Int. J. Food Microbiol. 1997, 36 (2-3), 97-102. Wang, W.; Sun, M., Phylogenetic relationships between Bacillus species and related genera inferred from 16s rDNA sequences. Brazilian Journal of Microbiology 2009, 40 (3), 505-521. Wang, Y.-C.; Yu, R.-C.; Chou, C.-C., Growth and survival of bifidobacteria and lactic acid bacteria during the fermentation and storage of cultured soymilk drinks. Food Microbiology 2002, 19 (5), 501-508. Weisburg, W. G.; Barns, S. M.; Pelletier, D. A.; Lane, D. J., 16S ribosomal DNA amplification for phylogenetic study. Journal of bacteriology 1991, 173 (2), 697-703. Wood, S. L.; Waites, W., Factors affecting the occurrence of Bacillus cereus in liquid whole egg. Food Microbiology 1988, 5 (2), 103-107. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/21135 | - |
dc.description.abstract | 豆漿為亞洲地區傳統飲料之一。根據國家膳食資料庫2017年的營養調查顯示,19-65歲消費者每日豆漿的平均攝食量為50 g。豆漿含豐富之醣類及蛋白質,因此若保存條件不當,容易造成微生物的生長。但是透過各種培養條件來控制細菌的生長,並且可藉由病原體建模軟體(IPMP 2013)利用數學模式描述微生物的生長行為,以預測食物的保存期限。本研究目的對從市售豆漿分離出之Bacillus sp.進行生長條件測試。將分離之Bacillus sp.培養於各種溫度條件下,並將生長速率用於預測生長模型。總生菌數檢驗結果顯示,採集自早餐店之58件豆漿樣品中,6件包裝豆漿的生菌數皆小於10 cfu/mL;而52件散裝豆漿樣品中,則有15件的總生菌數是大於104 cfu/mL。進一步根據菌落顏色與型態為篩選原則,分離出最頻繁出現在散裝豆漿中的菌株,並以菌株之16S rDNA片段進行序列分析,結果可能為Bacillus sp.。將純化出之菌株進行不同溫度下(7、15、25、30及35 °C)下之細胞生長試驗,觀察菌數變化,再分別利用IPMP軟體中的Huang、Baranyi、修飾之Gompertz、與Buchanan三段線性模式,建立該菌株於豆漿中生長之預測模型,根據決定係數(r2)與均方根誤差(RMSE)之結果判定,Huang模式對Bacillus sp.在35 °C與30 °C豆漿中的生長情形有較好的擬合程度;而Buchanan三段線性模式對Bacillus sp.於25 °C與15 °C豆漿中的生長描述有較佳的預測能力,然而Bacillus sp.於7 °C豆漿中的生長情況則並不明顯。最後透過生長預測模式,可以得到Bacillus sp.在35、30、25及15 °C豆漿中的遲滯生長期為0.7、1.2、3.5、14.2小時,最大比生長速率為每小時1.3、1.0、0.6、0.09 log cfu/mL,而最大生長菌數皆約8 log cfu/mL。綜合以上,生長預測模式可預測Bacillus在豆漿中的生長情形。 | zh_TW |
dc.description.abstract | Soy milk is one of the popular beverages in Asia. According to national nutrition survey in Taiwan (NAHSIT) by National Food Consumption Database in 2017, the average daily intake of soymilk for consumers aged 19-65 is 50 g / person. Soy milk is rich in protein and carbohydrate. Thus, it is susceptible for bacterial growth. However, the growth of bacteria can be manipulated by various cultural conditions. Microbial growth behavior can be defined by mathematical model using Integrated Pathogen Modeling Program 2013 (IPMP 2013) in order to predict the shelf life of food products. In this study, we aim to investigate the growth of Bacillus sp. isolated from soy milk sold in restaurants. The isolated Bacillus sp. was exposed to various temperature condition and the growth rate was used to predict the growth model. Total plate counts of bacteria from soy milk made by restaurants around National Taiwan University were performed (n=58). The results indicated that six paked products had less bacterial colonies (< 10 cfu / mL) detected. However, 15 bulk products had high total plate counts (> 104 cfu / mL). With colony color and morphology, Bacillus sp. were isolated and the 16S rDNA was sequenced. Bacterial growth was investigated at various temperature (7、15、25、30 and 35 °C) and the results were fitted into Huang, Baranyi, modified Gompertz and Buchanan three-phase linear growth model using IPMP software to establish predictive growth model. The results show that Huang growth model and Buchanan three-phase linear growth model can fit for Bacillus sp. at higher (35、30 °C) and lower (25、15 °C) temperature successfully according to little small akaike information criterion (AIC) and root mean square error (RMSE). Besides that, the growth of Bacillus sp. in soy milk at 7 °C was not obvious. Finally, the lag time of cell growth in soymilk at different temperatures (35, 30, 25 and 15 °C) were 0.7, 1.2, 3.5, 14.2 hr, and the maximum specific growth rate were 1.3, 1.0, 0.6, 0.09 log cfu/mL/hour. Besides, the maximum growth population was about 8 log cfu / mL. The predictive models were applied to estimate the proliferation of Bacillus sp. in the products. In conclusion, it might be useful tool for the management of the shelf-life. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T03:27:34Z (GMT). No. of bitstreams: 1 ntu-108-R06851003-1.pdf: 6277216 bytes, checksum: 2b1fe1a147990264e4f81def6e5ac558 (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 口試委員會審定書 2
誌謝 3 中文摘要 4 Abstract 5 目 錄 7 圖 目 錄 9 表 目 錄 10 附 錄 目 錄 12 壹、前言 13 貳、文獻回顧 14 第ㄧ節、大豆 14 第二節、豆漿製品 14 第三節、臺灣地區豆漿的銷售量與攝取量 15 第四節、臺灣地區豆漿製品之衛生狀況 16 第五節、芽胞桿菌屬(Bacillus)之簡介 18 第六節、預測生長模式 19 參、研究動機與目的 23 肆、研究設計 24 伍、研究材料與方法 25 第一節、實驗材料 25 第二節、實驗方法 27 陸、結果分析與討論 35 第一節、市售豆漿之產品資訊 35 第二節、市售豆漿之生菌數 37 第三節、常見菌株之分離與定序 45 第四節、預測生長模式 50 柒、結論 69 捌、參考文獻 71 | |
dc.language.iso | zh-TW | |
dc.title | Bacillus sp.於市售豆漿中之生長預測模型 | zh_TW |
dc.title | The predictive growth model of Bacillus sp. isolated from commercial soy milk | en |
dc.type | Thesis | |
dc.date.schoolyear | 108-1 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 陳家揚(Chia-Yang Chen) | |
dc.contributor.oralexamcommittee | 呂廷璋(Ting-Jang Lu),魏嘉徵(Chia-Cheng Wei) | |
dc.subject.keyword | 豆漿,芽胞桿菌屬,生長預測模型,遲滯生長期,比生長速率, | zh_TW |
dc.subject.keyword | soy milk,Bacillus sp.,growth predictive modeling,lag phase time,specific growth rate, | en |
dc.relation.page | 89 | |
dc.identifier.doi | 10.6342/NTU201904402 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2019-12-19 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 食品安全與健康研究所 | zh_TW |
顯示於系所單位: | 食品安全與健康研究所 |
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ntu-108-1.pdf 目前未授權公開取用 | 6.13 MB | Adobe PDF |
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