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http://krishi.icar.gov.in/jspui/handle/123456789/9850| Title: | Spectroscopic quantification of bacteria using Artificial Neural Networks |
| Other Titles: | Not Available |
| Authors: | Mathala Juliet Gupta Joseph Irudayaraj Chitrita Debroy |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Central Coastal Agricultural Research Institute Purdue University, West Lafayatte, USA PennState Univeristy, State College, PA |
| Published/ Complete Date: | 2004-11-01 |
| Project Code: | Not Available |
| Keywords: | Foodborne pathogens, Enterococcus faecium, Salmonella Enteritidis, Bacillus cereus, Yersinia enterocolitica, Shigella boydii, rapid detection |
| Publisher: | International Association for Food Protection |
| Citation: | Gupta M.J., Joseph Irudayaraj and Chitrita Debroy. 2004. Spectroscopic quantification of bacteria using Artificial Neural Networks. J Food Prot. 67(11):2550-54. |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Fourier transform–infrared spectroscopy, in conjunction with artificial neural networks, has been used for identification and classification of selected foodborne pathogens. Five bacterial species (Enterococcus faecium, Salmonella Enteritidis, Bacillus cereus, Yersinia enterocolitica, Shigella boydii) and five Escherichia coli strains (O103, O55, O121, O30, O26) suspended in phosphate-buffered saline were enumerated to provide seven different concentrations ranging from 109 to 103 CFU/ml. The trained artificial neural networks were then validated with an independent subset of samples and compared with the traditional plate count method. It was found that the concentration-based classification of the species was 100% correct and the strain-based classification was 90 to 100% accurate. |
| Description: | Not Available |
| ISSN: | 0362-028X |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Journal of Food Protection |
| NAAS Rating: | 7.58 |
| Volume No.: | 11 |
| Page Number: | 2550-2554 |
| Name of the Division/Regional Station: | Horticulture |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/9850 |
| Appears in Collections: | NRM-CCARI-Publication |
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