Simultaneous detection of Salmonella enterica, Escherichia coli and Listeria monocytogenes in food using a light scattering sensor

被引:27
作者
Abdelhaseib, M. U. [1 ,2 ]
Singh, A. K. [1 ,3 ]
Bhunia, A. K. [1 ,4 ,5 ]
机构
[1] Purdue Univ, Dept Food Sci, Mol Food Microbiol Lab, Smith Hall, W Lafayette, IN 47907 USA
[2] Assiut Univ, Food Hyg Dept, Assiut, Egypt
[3] Clear Labs, 3565 Haven Ave, Menlo Pk, CA 94025 USA
[4] Purdue Univ, Dept Comparat Pathobiol, W Lafayette, IN 47907 USA
[5] Purdue Univ, Purdue Inst Inflammat Immunol & Infect Dis, W Lafayette, IN 47907 USA
关键词
BARDOT; biosensor; detection; Escherichia coli O157; H7; light scattering; Listeria; PCR; Salmonella; SELA; STEC; BACTERIAL PATHOGENS; UNITED-STATES; SELECTIVE ENRICHMENT; FOODBORNE ILLNESS; RAPID DETECTION; MULTIPLEX PCR; LABEL-FREE; IDENTIFICATION; O157-H7; BIOSENSORS;
D O I
10.1111/jam.14225
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Aim To investigate the use of a light scattering sensor, BActerial Rapid Detection using Optical scattering Technology (BARDOT) coupled with a multipathogen selective medium, Salmonella, Escherichia and Listeria (SEL), for concurrent detection of the three major foodborne pathogens in a single assay. Methods and Results BARDOT was used to detect and distinguish the three major pathogens, Salmonella enterica, Shiga toxin-producing Escherichia coli (STEC) and Listeria monocytogenes from food based on colony scatter signature patterns on SEL agar (SELA). Multiple strains of three test pathogens were grown on SELA, and BARDOT was used to generate colony scatter image libraries for inclusive (SEL Library) and exclusive (non-SEL Library) bacterial group. These pathogens were further differentiated using the SEL scatter image library. Raw chicken and hotdog samples were artificially inoculated with pathogens (100 CFU per 25 g each), and enriched in SEL broth at 37 degrees C for 18 h and colonies were grown on SELA for 11-22 h before screening with BARDOT. The BARDOT sensor successfully detected and differentiated Salmonella, STEC and Listeria on SELA with high classification accuracy 92-98%, 91-98% and 83-98% positive predictive values (PPV) respectively; whereas the nontarget strains showed only 0-13% PPV. BARDOT-identified colonies were further confirmed by multiplex PCR targeting inlB gene of L. monocytogenes, stx2 of STEC and sefA of S. enterica serovar Enteritidis. Conclusions The results show that BARDOT coupled with SELA can efficiently screen for the presence of three major pathogens simultaneously in a test sample within 29-40 h. Significance and Impact of the Study This innovative SELA-BARDOT detection platform can reduce turnaround time and economic burden on food industries by offering a label-free, noninvasive on-plate multipathogen screening technology for reducing microbial food safety and public health concerns.
引用
收藏
页码:1496 / 1507
页数:12
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