The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Development of a new mathematical model for inactivation of Escherichia coli O157:H7 and Staphylococcus aureus by high hydrostatic pressure in carrot juice and peptone water
Open accessAbstract
Survival data of Escherichia coli O157:H7 933 and Staphylococcus aureus 485 in carrot juice and peptone water were collected in a range of pressure levels between 200 and 400MPa at 40°C. A mathematical approach combining the primary and secondary models (Weibull and first-order models as the primary model and two empirical equations as the secondary model) was proposed to estimate the microbial parameters using nonlinear least squares procedure in one step, resulting a single equation. Although not perfectly matched with the survival data, the proposed model produced good fits. Better fits were observed for S. aureus than for E. coli. Simulations of 5log₁₀ reductions of both pathogens indicated that carrot juice had a protective effect on E. coli whereas it had a sensitizing effect on S. aureus. The development of such mathematical models would be very beneficial to the food industry by developing safe processing conditions for HHP processing of foods.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The low levels (<2 logs) in both CW samples (pH > 5.0) may suggest that compounds in CW described in several reports (Pilavtepe-Celik et al., 2009;Pilavtepe-Celik, 2013;Lukas, 2013;Mor-Mur and Yuste, 2005;Morris, 2000) may be exhibiting similar inhibitory effects on pressure injured spoilage microorganisms as the high acidity effects reported in fruit juices (Canadian Food Inspection Agency, 2018;”
From The use of High-Pressure Processing (HPP) to improve the safety and quality of raw coconut (Cocos nucifera L) water (2020) · cites this paper as Pilavtepe-Celik et al., 2009
Citations
Cites
On the use of the Weibull model to describe thermal inactivation of microbial vegetative cells
van Boekel, M. (2002) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(01)00742-5 · Cited by 990
Mafart, P., Couvert, O., Gaillard, S., & Leguérinel, I. (2002) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(01)00624-9 · Cited by 877
Variation in Resistance to Hydrostatic Pressure among Strains of Food-Borne Pathogens
Alpas, H., Kalchayanand, N., Bozoğlu, F., Sikes, A., Dunne, C. P., & Ray, B. (1999) · Applied and Environmental Microbiology · doi:10.1128/aem.65.9.4248-4251.1999 · Cited by 266
Self-citationPatterson, M. F., & Kilpatrick, D. J. (1998) · Journal of Food Protection · doi:10.4315/0362-028x-61.4.432 · Cited by 229
High Pressure Food Science, Bioscience and Chemistry
Isaacs, N. S. (1998) · Woodhead Publishing Limited eBooks · doi:10.1533/9781845698379 · Cited by 169
Pressure inactivation kinetics of Yersinia enterocolitica ATCC 35669
Chen, H., & Hoover, D. G. (2003) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(03)00064-3 · Cited by 154
Jordan, S. L., Pascual, C., Bracey, E., & Mackey, B. M. (2001) · Journal of Applied Microbiology · doi:10.1046/j.1365-2672.2001.01402.x · Cited by 148
Chen, H. (2006) · Food Microbiology · doi:10.1016/j.fm.2006.06.004 · Cited by 144
Inhibitory effects of raw carrots on Listeria monocytogenes
Beuchat, L. R., & Brackett, R. E. (1990) · Applied and Environmental Microbiology · doi:10.1128/aem.56.6.1734-1742.1990 · Cited by 144
Isolation and antimicrobial activity of the phytoalexin 6-methoxymellein from cultured carrot cells
Kurosaki, F., & Nishi, A. (1983) · Phytochemistry · doi:10.1016/s0031-9422(00)86959-9 · Cited by 142
Cited by
Sorted by citations
Aspects of high hydrostatic pressure food processing: Perspectives on technology and food safety
Aganovic, K., Hertel, C., Vogel, R. F., Johne, R., Schlüter, O., Schwarzenbolz, U., Jäger, H., Holzhauser, T., Bergmair, J., Roth, A., et al. (2021) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12763 · Cited by 281
Microbial inactivation by high pressure processing: principle, mechanism and factors responsible
Sehrawat, R., Kaur, B. P., Nema, P. K., Tewari, S., & Kumar, L. (2020) · Food Science and Biotechnology · doi:10.1007/s10068-020-00831-6 · Cited by 236
The Impact of Nonthermal Technologies on the Microbiological Quality of Juices: A Review
Roobab, U., Aadil, R. M., Madni, G. M., & Bekhit, A. E. A. (2018) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12336 · Cited by 209
Chen, D., Xi, H., Guo, X., Qin, Z., Pang, X., Hu, X., Liao, X., & Wu, J. (2013) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2013.03.003 · Cited by 124
High-pressure Processing: Kinetic Models for Microbial and Enzyme Inactivation
Serment‐Moreno, V., Barbosa‐Cánovas, G. V., Torres, J. A., & Welti‐Chanes, J. (2014) · Food Engineering Reviews · doi:10.1007/s12393-014-9075-x · Cited by 115
Zhou, C., Liu, W., Zhao, J., Yuan, C., Song, Y., Chen, D., Ni, Y., & Li, Q. (2013) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2013.11.002 · Cited by 112
Pokhrel, P. R., Toniazzo, T., Boulet, C., Oner, M. E., Sablani, S. S., Tang, J., & Barbosa‐Cánovas, G. V. (2019) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2019.03.007 · Cited by 71
Syed, Q. A., Buffa, M., Guamis, B., & Saldo, J. (2015) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2013.779570 · Cited by 69
Raghubeer, E. V., Phan, B. N., Onuoha, E., Diggins, S., Aguilar, V., Swanson, S., & Lee, A. (2020) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2020.108697 · Cited by 70
HIGH-PRESSURE DESTRUCTION KINETICS OF SPOILAGE AND PATHOGENIC MICROORGANISMS IN MANGO JUICE
Hiremath, N., & Ramaswamy, H. S. (2011) · Journal of Food Processing and Preservation · doi:10.1111/j.1745-4549.2011.00559.x · Cited by 65
Saucedo-Reyes, D., Marco-Celdrán, A., Pina-Pérez, M. C., Rodrigo, D., & Martínez-López, A. (2009) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2008.11.004 · Cited by 63
Rao, L., Guo, X., Pang, X., Tan, X., Liao, X., & Wu, J. (2013) · International Journal of Food Properties · doi:10.1080/10942912.2012.716474 · Cited by 57
Inactivation of Staphylococcus aureus by high pressure processing: An overview
Baptista, I. I. R., Rocha, S. M., Cunha, Â., Saraiva, J. A., & Almeida, A. (2016) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2016.06.008 · Cited by 54
Kim, S., Choi, W., & Kang, D. (2016) · Food Microbiology · doi:10.1016/j.fm.2016.10.021 · Cited by 48
Non-Thermal Technologies in Food Processing: Implications for Food Quality and Rheology
Al-Sharify, Z. T., Al-Najjar, S. Z., Anumudu, C. K., Hart, A., Miri, T., & Onyeaka, H. N. (2025) · Applied Sciences · doi:10.3390/app15063049 · Cited by 47
Nema, P. K., Sehrawat, R., Ravichandran, C., Kaur, B. P., Kumar, A., & Tarafdar, A. (2022) · Journal of Food Quality · doi:10.1155/2022/5797843 · Cited by 46
Zimmermann, M., Schaffner, D. W., & de Aragão, G. M. F. (2013) · LWT · doi:10.1016/j.lwt.2013.01.026 · Cited by 44
Serment‐Moreno, V., Fuentes, C., Barbosa‐Cánovas, G. V., Torres, J. A., & Welti‐Chanes, J. (2015) · Food and Bioprocess Technology · doi:10.1007/s11947-015-1488-x · Cited by 43
Saldaña, G., Puértolas, E., Condón, S., Álvarez, I., & Raso, J. (2010) · Food Microbiology · doi:10.1016/j.fm.2010.01.002 · Cited by 38
Ngang, J. J. E., Nyegue, M. A., Florentine, N. F. C., KAMGAIN, A. D. T., Kamdem, S. L. S., Lanciotti, R., Gardini, F., & Etoa, F. (2014) · Journal of Food Protection · doi:10.4315/0362-028x.jfp-13-323 · Cited by 33
Zhu, S., Wang, C., Ramaswamy, H. S., & Yu, Y. G. (2017) · LWT · doi:10.1016/j.lwt.2017.01.022 · Cited by 26
Guillou, S., & Membré, J. (2019) · Journal of Food Protection · doi:10.4315/0362-028x.jfp-19-132 · Cited by 25
Kaur, B. P., & Rao, P. S. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01311 · Cited by 21
Hyperbaric Storage of Food: Applications, Challenges, and Perspectives
Basso, F., Manzocco, L., & Nicoli, M. C. (2021) · Food Engineering Reviews · doi:10.1007/s12393-021-09296-7 · Cited by 20
Application of High Hydrostatic Pressure Technology for Processing and Preservation of Foods
Neetoo, H., & Chen, H. (2012) · doi:10.1002/9781119962045.ch12 · Cited by 19
High hydrostatic pressure (HHP) inactivation of foodborne pathogens in low‐acid juices
Pilavtepe‐Çelik, M. (2013) · International Journal of Food Science & Technology · doi:10.1111/j.1365-2621.2012.03218.x · Cited by 18
Self-citationSreedevi, P., Jayachandran, L. E., & Rao, P. S. (2018) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.9443 · Cited by 17
Valdramidis, V., Taoukis, P., Stoforos, N. G., & van Impe, J. F. M. (2011) · Elsevier eBooks · doi:10.1016/b978-0-12-381470-8.00014-1 · Cited by 14
Buzrul, S. (2019) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2019.108330 · Cited by 14
Self-citationLi, T., Chen, J., Duan, X., Wu, X., & Liao, X. (2023) · Food Control · doi:10.1016/j.foodcont.2023.110039 · Cited by 14
Reyes, D. S., Carrillo-Salazar, J. A., Román-Padilla, L., Saucedo-Veloz, C., Reyes-Santamaría, M. I., Ramírez-Gilly, M., & Tecante, A. (2017) · Food Science and Technology International · doi:10.1177/1082013217735472 · Cited by 11
Estimating microbial survival parameters under high hydrostatic pressure
Chen, G., Campanella, O. H., & Barbosa‐Cánovas, G. V. (2012) · Food Research International · doi:10.1016/j.foodres.2011.12.025 · Cited by 10
Alzamora, S. M., Welti‐Chanes, J., Guerrero, S. N., & Gomez, P. L. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7880-6_11 · Cited by 10
Inactivation Kinetics of Foodborne Pathogens in Carrot Juice by High-Pressure Processing
Hwang, C., Lin, C., Hsiao, Y., Huang, Y., Yen, F., Lee, Y., & Tsai, Y. (2023) · Biology · doi:10.3390/biology12111383 · Cited by 7
Buzrul, S., & Cam, M. F. (2025) · Journal of Food Process Engineering · doi:10.1111/jfpe.70044 · Cited by 4
Self-citationNasiłowska, J., Sokołowska, B., & Fonberg-Broczek, M. (2022) · AIMS Agriculture and Food · doi:10.3934/agrfood.2022039 · Cited by 2
Erdem, F., Dogan, O. B., & Alpas, H. (2026) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2026.111653 · Cited by 1
Self-citationHouška, M., & Silva, F. (2017) · CRC Press eBooks · doi:10.1201/9781315121123-12
Tsagkaropoulou, T., Fernández-Felipe, M. T., Thamsuaidee, A., de Souza, P. M., Karatzas, K. A. G., Rodrigo, D., Siemer, C., & Possas, A. M. M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-12-822180-8.00005-5
Metadata
- Authors
- Pilavtepe-Çelik, M., Buzrul, S., Alpas, H., & Bozoğlu, F.
- Affiliations
- Middle East Technical University (TR)
- Corresponding author
- Buzrul, Sencer
- Venue
- Journal of Food Engineering
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 90
- Issue
- 3
- Pages
- 388-394
- ISSN
- 0260-8774 (ISSN-L)
- OpenAlex
- W1972817973
- Cited by
- 40
- References
- 27
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 3 · 2018: 2 · 2017: 4 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 4 · 2012: 3
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Journal of Food Engineering (publishedVersion)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Microbial Inactivation Methods
- Life Sciences › Agricultural and Biological Sciences › Food Science › Listeria monocytogenes in Food Safety
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Safety and Hygiene
- Keywords
- high hydrostatic pressure, microbial inactivation, Escherichia coli O157:H7, Staphylococcus aureus, carrot juice, Weibull model, first-order model, microbial survival, food safety, pathogen inactivation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review