Label-free detection of multiple bacterial pathogens using light-scattering sensor

被引:116
作者
Banada, Padmapriya P. [1 ]
Huff, Karleigh [1 ]
Bae, Euiwon [2 ]
Rajwa, Bartek [3 ]
Aroonnual, Amornrat [1 ]
Bayraktar, Bulent [4 ]
Adil, Abrar [1 ]
Robinson, J. Paul [3 ,5 ]
Hirleman, E. Daniel [2 ]
Bhunia, Arun K. [1 ]
机构
[1] Purdue Univ, Dept Food Sci, Mol Food Microbiol Lab, W Lafayette, IN 47907 USA
[2] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
[3] Purdue Univ, Dept Basic Med Sci, W Lafayette, IN 47907 USA
[4] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
[5] Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA
关键词
Light scatterometer; Bacterial detection; Classification; Food; Clinical specimen; ESCHERICHIA-COLI O157-H7; LISTERIA-MONOCYTOGENES; IDENTIFICATION; RESISTANT; THINKING;
D O I
10.1016/j.bios.2008.08.053
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Technologies for rapid detection and classification of bacterial pathogens are crucial for securing the food supply. This report describes a light-scattering sensor capable of real-time detection and identification of colonies of multiple pathogens without the need for a labeling reagent or biochemical processing. Bacterial colonies consisting of the progeny of a single parent cell scatter light at 635 nm to produce unique forward-scatter signatures. Zernike moment invariants and Haralick descriptors aid in feature extraction and construction of the scatter-signature image library. The method is able to distinguish bacterial cultures at the genus and species level for Listeria, Staphylococcus, Salmonella, Vibrio, and Escherichia with an accuracy of 90-99% for samples derived from food or experimentally infected animal. Varied amounts of exopolysaccharide produced by the bacteria causes changes in phase modulation distributions, resulting in strikingly different scatter signatures. With the aid of a robust database the method can potentially detect and identify any bacteria colony essentially instantaneously. Unlike other methods, it does not destroy the sample, but leaves it intact for other confirmatory testing, if needed, for forensic or outbreak investigations. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1685 / 1692
页数:8
相关论文
共 43 条
[1]   Thinking about Bacillus subtilis as a multicellular organism [J].
Aguilar, Claudio ;
Vlamakis, Hera ;
Losick, Richard ;
Kolter, Roberto .
CURRENT OPINION IN MICROBIOLOGY, 2007, 10 (06) :638-643
[2]  
Atkinson R., 2006, Morbidity and Mortality Weekly Report, V55, P1042
[3]   Biophysical modeling of forward scattering from bacterial colonies using scalar diffraction theory [J].
Bae, Euiwon ;
Banada, Padmapriya P. ;
Huff, Karleigh ;
Bhunia, Arun K. ;
Robinson, J. Paul ;
Hirleman, E. Daniel .
APPLIED OPTICS, 2007, 46 (17) :3639-3648
[4]   Assessing the accuracy of prediction algorithms for classification: an overview [J].
Baldi, P ;
Brunak, S ;
Chauvin, Y ;
Andersen, CAF ;
Nielsen, H .
BIOINFORMATICS, 2000, 16 (05) :412-424
[5]   Optical forward-scattering for detection of Listeria monocytogenes and other Listeria species [J].
Banada, Padmapriya P. ;
Guo, Songling ;
Bayraktar, Bulent ;
Bae, Euiwon ;
Rajwa, Bartek ;
Robinson, J. Paul ;
Hirleman, E. Daniel ;
Bhunia, Arun K. .
BIOSENSORS & BIOELECTRONICS, 2007, 22 (08) :1664-1671
[6]   Feature extraction from light-scatter patterns of Listeria colonies for identification and classification [J].
Bayraktar, Bulent ;
Banada, Padmapriya P. ;
Hirleman, E. Daniel ;
Bhunia, Arun K. ;
Robinson, J. Paul ;
Rajwa, Bartek .
JOURNAL OF BIOMEDICAL OPTICS, 2006, 11 (03)
[7]  
BHUNIA AK, 2006, SCI HOMELAND SECURIT, P109
[8]  
Bhunia AK, 2008, ADV FOOD NUTR RES, V54, P1, DOI 10.1016/S1043-4526(07)00001-0
[9]   Polarized light scattering as a rapid and sensitive assay for metal toxicity to bacteria [J].
Bronk, BV ;
Li, ZZ ;
Czégé, J .
JOURNAL OF APPLIED TOXICOLOGY, 2001, 21 (02) :107-113
[10]   A tutorial on Support Vector Machines for pattern recognition [J].
Burges, CJC .
DATA MINING AND KNOWLEDGE DISCOVERY, 1998, 2 (02) :121-167