Dual channel detection of ultra low concentration of bacteria in real time by scanning fluorescence correlation spectroscopy

被引:22
作者
Altamore, Ilaria [1 ]
Lanzano, Luca [1 ]
Gratton, Enrico [1 ]
机构
[1] Univ Calif Irvine, Dept Biomed Engn, Fluorescence Dynam Lab, Irvine, CA 92717 USA
基金
美国国家卫生研究院;
关键词
bacteria detection; ultra-low concentration; pattern recognition algorithm; SURFACE-PLASMON RESONANCE; FLOW-CYTOMETRY; DNA MICROARRAYS; PCR; QUANTIFICATION; NANOPARTICLES; ENUMERATION; PATHOGENS; SAMPLES; SENSOR;
D O I
10.1088/0957-0233/24/6/065702
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We describe a novel method to detect very low concentrations of bacteria in water. Our device consists of a portable horizontal geometry small confocal microscope with large pinhole and a holder for cylindrical cuvettes containing the sample. Two motors provide fast rotational and slow vertical motion of the cuvette so the device looks like a simplified flow cytometer without flow. To achieve high sensitivity, the design has two detection channels. Bacteria are stained by two different nucleic acid dyes and excited with two different lasers. Data are analyzed with a correlation filter based on particle passage pattern recognition. The passage of a particle through the illumination volume is compared with a Gaussian pattern in both channels. The width of the Gaussian correlates with the time of passage of the particle so one particle is counted when the algorithm finds a match with a Gaussian in both channels. The concentration of particles in the sample is deduced from the total number of coincident hits and the total volume scanned. This portable setup provides higher sensitivity, low-cost advantage, and it can have a wide use ranging from clinical applications to pollution monitors and water and air quality control.
引用
收藏
页数:10
相关论文
共 32 条
[1]   Detection of Salmonella spp. using microsphere-based, fiber-optic DNA microarrays [J].
Ahn, S ;
Walt, DR .
ANALYTICAL CHEMISTRY, 2005, 77 (15) :5041-5047
[2]   Scanning two-photon fluctuation correlation spectroscopy: Particle counting measurements for detection of molecular aggregation [J].
Berland, KM ;
So, PTC ;
Chen, Y ;
Mantulin, WW ;
Gratton, E .
BIOPHYSICAL JOURNAL, 1996, 71 (01) :410-420
[3]   Artificial neural network study of whole-cell bacterial bioreporter response determined using fluorescence flow cytometry [J].
Busam, Sirisha ;
McNabb, Maia ;
Wackwitz, Anke ;
Senevirathna, Wasana ;
Beggah, Siham ;
van der Meer, Jan Roelof ;
Wells, Mona ;
Breuer, Uta ;
Harms, Hauke .
ANALYTICAL CHEMISTRY, 2007, 79 (23) :9107-9114
[4]   Bacterial species determination from DNA-DNA hybridization by using genome fragments and DNA microarrays [J].
Cho, JC ;
Tiedje, JM .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2001, 67 (08) :3677-3682
[5]  
Dudak Fahriye Ceyda, 2009, Biotechnology Journal, V4, P1003, DOI 10.1002/biot.200800316
[6]   An ELISA for the detection of Bacillus subtilis L-form bacteria confirms their symbiosis in strawberry [J].
Ferguson, CMJ ;
Booth, NA ;
Allan, EJ .
LETTERS IN APPLIED MICROBIOLOGY, 2000, 31 (05) :390-394
[7]   Recovery of GFP-labeled bacteria for culturing and molecular analysis after cell sorting using a benchtop flow cytometer [J].
Ferrari, BC ;
Oregaard, G ;
Sorensen, SJ .
MICROBIAL ECOLOGY, 2004, 48 (02) :239-245
[8]   Use of a light-addressable potentiometric sensor for the detection of Escherichia coli O157:H7 [J].
Gehring, AG ;
Patterson, DL ;
Tu, SI .
ANALYTICAL BIOCHEMISTRY, 1998, 258 (02) :293-298
[9]  
Gratton E, 2009, United States Patent, Patent No. 7528384
[10]   Using biofunctional magnetic nanoparticles to capture vancomycin-resistant enterococci and other gram-positive bacteria at ultralow concentration [J].
Gu, HW ;
Ho, PL ;
Tsang, KWT ;
Wang, L ;
Xu, B .
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2003, 125 (51) :15702-15703