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Al-Oklah, Bassam, Badr Al-Deen, Rudwan, Haj Mustafa, Muhannad, Ibrahim, Enas. (1404). A Comparison of Laser Light-Scattering and Analytical Profile Index Systems for Foodborne Bacteria Identification. سامانه مدیریت نشریات علمی, 80(4), 1015-1022. doi: 10.61882/ARI.80.4.1015
Bassam Al-Oklah; Rudwan Badr Al-Deen; Muhannad Haj Mustafa; Enas Ibrahim. "A Comparison of Laser Light-Scattering and Analytical Profile Index Systems for Foodborne Bacteria Identification". سامانه مدیریت نشریات علمی, 80, 4, 1404, 1015-1022. doi: 10.61882/ARI.80.4.1015
Al-Oklah, Bassam, Badr Al-Deen, Rudwan, Haj Mustafa, Muhannad, Ibrahim, Enas. (1404). 'A Comparison of Laser Light-Scattering and Analytical Profile Index Systems for Foodborne Bacteria Identification', سامانه مدیریت نشریات علمی, 80(4), pp. 1015-1022. doi: 10.61882/ARI.80.4.1015
Al-Oklah, Bassam, Badr Al-Deen, Rudwan, Haj Mustafa, Muhannad, Ibrahim, Enas. A Comparison of Laser Light-Scattering and Analytical Profile Index Systems for Foodborne Bacteria Identification. سامانه مدیریت نشریات علمی, 1404; 80(4): 1015-1022. doi: 10.61882/ARI.80.4.1015

A Comparison of Laser Light-Scattering and Analytical Profile Index Systems for Foodborne Bacteria Identification

Archives of Razi Institute
مقاله 23، دوره 80، شماره 4، مهر و آبان 2025، صفحه 1015-1022    اصل مقاله (619.58 K)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.61882/ARI.80.4.1015
نویسندگان
Bassam Al-Oklah1؛ Rudwan Badr Al-Deen1؛ Muhannad Haj Mustafa* 2؛ Enas Ibrahim2
1Department of National Commission for Biotechnology (NCBT), Damascus 31902, Syria.
2Department of Food Science and Technology, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran.
چکیده
Foodborne bacteria pose substantial risks to human health and food safety. Scientists worldwide have shown great interest in the development of rapid, reliable, and cost-effective methods for identifying foodborne bacteria. Among these methods, Optical scattering technology (BARDOT) has emerged as the fastest and most efficient technique, offering a unique pattern of scattered light passing through the center of the bacterial colony for identification purposes. In this study, we examined 118 isolates of foodborne pathogenic bacteria, including Escherichia coli, Enterobacter cloacae, Salmonella Enterica, Hafnia alvei, and Proteus mirabilis, derived from various food sources. To identify these isolates, we employed Analytical Profile Index (API) Systems, specifically API 20E and ID 32E, which rely on biochemical tests, in addition to laser light scattering technology. In this method ideal colonies, which exhibited specific characteristics such as a suitable diameter, isolation from neighboring colonies, and a completely circular shape without any irregular edges, were selected to create scatter images. These scatter images revealed a distinct "fingerprint" that can be utilized to differentiate between the species. This "fingerprint" allowed for the successful identification of all isolates belonging to the five species in our current study, achieving a 100% identification accuracy. Our findings demonstrated that laser light scattering technology provided accurate identification cost-effectively and safely. This method eliminated the need to open the plates containing the bacterial colonies, ensuring the colonies remained intact after identification. Furthermore, the laser light scattering technique proved to be much more rapid compared to the API 20E and ID 32E Systems, which were not only significantly more expensive but also time-consuming and labor-intensive.
کلیدواژه‌ها
Foodborne bacteria؛ Food safety؛ API system؛ Laser light scattering؛ Biochemical tests
مراجع
  1. Kumar H, Kuča K, Bhatia SK, Saini K, Kaushal A, Verma R, Bhalla TC, Kumar D. Applications of nanotechnology in sensor-based detection of foodborne pathogens. Sensors. 2020; 20(7):1966.
  2. Xing G, Zhang W, Li N, Pu Q, Lin JM. Recent progress on microfluidic biosensors for rapid detection of pathogenic bacteria. Chinese Chemical Letters. 2022; 33(4):1743-51.
  3. Ma Y, Ding S, Fei Y, Liu G, Jang H, Fang J. Antimicrobial activity of anthocyanins and catechins against foodborne pathogens Escherichia coli and Salmonella. Food Control. 2019; 106:106712.
  4. Manole E, Dumitrescu L, Niculițe C, Popescu BO, Ceafalan LC. Potential roles of functional bacterial amyloid proteins, bacterial biosurfactants and other putative gut microbiota products in the etiopathogeny of Parkinson’s disease. Biocell. 2021; 45(1):1.
  5. Al-Tayyar NA, Youssef AM, Al-Hindi RR. Edible coatings and antimicrobial nanoemulsions for enhancing shelf life and reducing foodborne pathogens of fruits and vegetables: A review. Sustainable Materials and Technologies. 2020; 26:e00215.
  6. Xiong Y, Leng Y, Li X, Huang X, Xiong Y. Emerging strategies to enhance the sensitivity of competitive ELISA for detection of chemical contaminants in food samples. TrAC Trends in Analytical Chemistry. 2020; 126:115861.
  7. Ye J, Guo J, Li T, Tian J, Yu M, Wang X, Majeed U, Song W, Xiao J, Luo Y, Yue T. Phage‐based technologies for highly sensitive luminescent detection of foodborne pathogens and microbial toxins: A review. Comprehensive Reviews in Food Science and Food Safety. 2022; 21(2):1843-67.
  8. Manual BA. BAM: Rapid Methods for Detecting Foodborne Pathogens. Food and Drug Administration US, 2001.
  9. Tang Y, Ali Z, Dai J, Liu X, Wu Y, Chen Z, He N, Li S, Wang L. Single-nucleotide polymorphism genotyping of exoS in pseudomonas aeruginosa using dual-color fluorescence hybridization and magnetic separation. Journal of Biomedical Nanotechnology. 2018; 14(1):206-14.
  10. Marcoux PR, Dupoy M, Kodja ACJ-L, Lefebvre A, Licari F, Louvet R, Narassiguin A, Mallard F. Optical forward-scattering for identification of bacteria within microcolonies. Applied Microbiology and Biotechnology, 2014, 98 (5):2243-54
  11. Nebeker BM, Buckner BD, Hirleman ED, Lathrop A, Bhunia AK. Identification and characterization of bacteria on surfaces using light scattering. InPhotonic Detection and Intervention Technologies for Safe Food. 2001, 4206: 224–234.
  12. Banada PP, Guo S, Bayraktar B, Bae E, Rajwa B, Robinson JP, Hirleman ED, Bhunia AK. Optical forward-scattering for detection of Listeria monocytogenes and other Listeria species. Biosensors and Bioelectronics. 2007; 22(8):1664-71.
  13. Rossi F, Baquero F, Hsueh PR, Paterson DL, Bochicchio GV, Snyder TA, Satishchandran V, McCarroll K, DiNubile MJ, Chow JW. In vitro susceptibilities of aerobic and facultatively anaerobic Gram-negative bacilli isolated from patients with intra-abdominal infections worldwide: 2004 results from SMART (Study for Monitoring Antimicrobial Resistance Trends). Journal of Antimicrobial Chemotherapy. 2006; 58(1):205-10.
  14. Ye Y, Li JB, Ye DQ, Jiang ZJ. Enterobacter bacteremia: Clinical features, risk factors for multiresistance and mortality in a Chinese University Hospital. Infection. 2006; 34:252-7.
  15. Garrity GM. Bergey's Manual of Systematic Bacteriology 2nd ed., In: Order XIII. "Enterobacteriales". eds., Brenner D.J. and Farmer J.J. Springer. 2009; 587‒848.
  16. Kilonzo-Nthenge A, Chen FC, Godwin SL. Occurrence of Listeria and Enterobacteriaceae in domestic refrigerators. Journal of food protection. 2008; 71(3):608-12.
  17. Harrigan WF. Laboratory methods in food microbiology, 3ed. Academic Press, California, USA. 1998; 164‒210.
  18. Benson H J. Microbiological applications laboratory manual in general microbiology. 8th ed. The McGraw‒Hill. 2001; 64‒68.
  19. Jackson EE, Forsythe SJ. Comparative study of Cronobacter identification according to phenotyping methods. BMC microbiology. 2016; 16:1-0.
  20. Azizieh A, Al-Amir L, Badr Al-Deen R. Comparison between laser light-scattering method and traditional methods in identifying some Campylobacter and Staphylococcus isolates from foods. Tishreen University Journal for Research and Scientific Studies-Biological Sciences Series. 2014; 36 (6):83-95.
  21. Tamber S, Montgomery A, Eloranta K, Buenaventura E. Enumeration and survival of Salmonella Enterica in live oyster shellstock harvested from Canadian waters. Journal of Food Protection. 2020; 83(1):6-12.
  22. Budiarso TY, Amarantini C, Prihatmo G, Restiani R, Putri Y, Kindagen V, Linggardjati S. Detection of coliforms and enteric pathogens in favorite snack food sold in Yogyakarta City. In7th International Conference on Research, Implementation, and Education of Mathematics and Sciences (ICRIEMS 2020). 2021; pp. 40-48.
  23. Xiong D, Song L, Chen Y, Jiao X, Pan Z. Salmonella Enteritidis activates inflammatory storm via SPI-1 and SPI-2 to promote intracellular proliferation and bacterial virulence. Frontiers in Cellular and Infection Microbiology. 2023; 13:1158888.
  24. Hussain M, Chen Z, Lv M, Xu J, Dong X, Zhao J, Li S, Deng Y, He N, Li Z, Liu B. Rapid and label-free classification of pathogens based on light scattering, reduced power spectral features and support vector machine. Chinese chemical letters. 2020; 31(12):3163-7.
  25. Bhunia AK, Nanduri V, Bae E, Hirleman ED. Biosensors, foodborne pathogen detection. Encyclopedia of Industrial Biotechnology: Bioprocess, Bioseparation, and Cell Technology. 2009; 1-50.
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