Arun K. Bhunia

Direct detection of an antimicrobial peptide ofPediococcus acidilactici in sodium dodecyl sulfate-polyacrylamide gel electrophoresis

SummaryAn SDS-PAGE technique is described that allows identification of the antimicrobial activity of a peptide secreted by a strain ofPediococcus acidilactici. This peptide has an antimicrobial property against several baeteria associated with food. This technique enables detection of the specific peptide (or protein) band(s) associated with the inhibitory effect which can then be eluted from the gel for further studies.

WST-1-based cell cytotoxicity assay as a substitute for MTT-based assay for rapid detection of toxigenic Bacillus species using CHO cell line

Bacillus cereus continues to be one of the important foodborne pathogens due to its ability to produce various heat-labile and -stable toxins. Several methods have been developed to assess the pathogenicity of the B. cereus strains; however, most of these take more than 2-3 days to provide confirmatory results. In this study we standardized a one-step cytotoxicity assay using WST-1 (4-[3-(4-iodophenyl)-2-(4-nitrophenyl)-2H-5-tetrazolio]-1,3-benzene disulfonate) and compared with the traditional MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl tetrazolium bromide)-based assay for rapid detection of cytotoxic Bacillus spp. using Chinese hamster ovary (CHO) cell line. Crude toxin preparations from 50 isolates of Bacillus spp. were exposed to CHO cell line for 1 h or 24 h and the cytotoxicity was determined by using WST-1 and MTT-based methods. Most B. cereus strains and some strains of other Bacillus species from our collection or from food sources showed comparably high cytotoxicity using either of the methods (P=0.81); however, WST-1 assay provided results in only 3 h while MTT assay in 44-52 h. A positive correlation (R2=0.93) between WST-1 and MTT assays strongly suggests that the WST-1-based cytotoxicity assay could be used as an alternative method to MTT assay for rapid (3 h) confirmation of toxigenic Bacillus species in foods prior to their retail distribution or consumption.

Microfluidic Biochip for Impedance Spectroscopy of Biological Species

This paper describes the fabrication and characterization of a microelectronic device for the electrical interrogation and impedance spectroscopy of biological species. Key features of the device include an all top-side processing for the formation of fluidic channels, planar fluidic interface ports, integrated metal electrodes for impedance measurements, and a glass cover sealing the non-planar topography of the chip using spin-on-glass as an intermediate bonding layer. The total fluidic path volume in the device is on the order of 30 nl. Flow fields in the closed chip were mapped by particle image velocimetry. Electrical impedance measurements of suspensions of the live microorganism Listeria innocua injected into the chip demonstrate an easy method for detecting the viability of a few bacterial cells. By-products of the bacterial metabolism modify the ionic strength of a low conductivity suspension medium, significantly altering its electrical characteristics.

Nucleotide and amino acid sequence of pap-gene (pediocin AcH production) in Pediococcus acidilactici H

N‐terminal analysis of purified pediocin AcH produced a partial sequence of 23 amino acids. This sequence matched perfectly with a segment of 23 amino acids in a 62 amino acid molecule generated from the 186 nucleotide sequence open reading frame in a Hind III fragment in pSMB74 encoding pap‐gene (pediocin AcH production). It is suggested that the molecule is translated as inactive prepediocin AcH of 62 amino acids. Then through enzymatic modifications the leader segment of 18 amino acids is removed from the NH2‐terminal. The remaining segment of 44 amino acids is active pediocin AcH of 4628 Mr.

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

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.

Mammalian cell-based biosensors for pathogens and toxins

Cell-based biosensors (CBBs) have emerged as powerful functional tools for the rapid detection of hazards and threats associated with food, agriculture, environment and biosecurity. CBBs detect the functional aspects of a host-hazard interaction and render an accurate estimation of the risks. Assessing hazard-induced physiological responses, such as receptor-ligand interactions, signal transduction, gene expression, membrane damage, apoptosis and oncosis of living sensing organisms can provide insight into the basis of toxicity for a particular hazard. This review highlights the progress made in developing mammalian CBBs for pathogens and toxins, with special emphasis on multidisciplinary approaches that combine molecular biology and microbiology with methods used in physics and engineering, which led to the development of a three-dimensional cell-culture system and high-throughput screening employing optical and electrical systems.

Biosensors and bio-based methods for the separation and detection of foodborne pathogens.

The safety of our food supply is always a major concern to consumers, food producers, and regulatory agencies. A safer food supply improves consumer confidence and brings economic stability. The safety of foods from farm-to-fork through the supply chain continuum must be established to protect consumers from debilitating, sometimes fatal episodes of pathogen outbreaks. The implementation of preventive strategies like hazard analysis critical control points (HACCP) assures safety but its full utility will not be realized unless supportive tools are fully developed. Rapid, sensitive, and accurate detection methods are such essential tools that, when integrated with HACCP, will improve safety of products. Traditional microbiological methods are powerful, error-proof, and dependable but these lengthy, cumbersome methods are often ineffective because they are not compatible with the speed at which the products are manufactured and the short shelf life of products. Automation in detection methods is highly desirable, but is not achievable with traditional methods. Therefore, biosensor-based tools offer the most promising solutions and address some of the modern-day needs for fast and sensitive detection of pathogens in real time or near real time. The application of several biosensor tools belonging to the categories of optical, electrochemical, and mass-based tools for detection of foodborne pathogens is reviewed in this chapter. Ironically, geometric growth in biosensor technology is fueled by the imminent threat of bioterrorism through food, water, and air and by the funding through various governmental agencies.

Antibody–aptamer functionalized fibre-optic biosensor for specific detection of Listeria monocytogenes from food

Aim:  To develop antibody–aptamer functionalized fibre‐optic biosensor for specific detection of Listeria monocytogenes from food products.

Detection of Low Levels of Listeria monocytogenes Cells by Using a Fiber-Optic Immunosensor

ABSTRACT Biosensor technology has a great potential to meet the need for sensitive and nearly real-time microbial detection from foods. An antibody-based fiber-optic biosensor to detect low levels of Listeria monocytogenes cells following an enrichment step was developed. The principle of the sensor is a sandwich immunoassay where a rabbit polyclonal antibody was first immobilized on polystyrene fiber waveguides through a biotin-streptavidin reaction to capture Listeria cells on the fiber. Capture of cells on the fibers was confirmed by scanning electron microscopy. A cyanine 5-labeled murine monoclonal antibody, C11E9, was used to generate a specific fluorescent signal, which was acquired by launching a 635-nm laser light from an Analyte 2000 and collected by a photodetector at 670 to 710 nm. This immunosensor was specific for L. monocytogenes and showed a significantly higher signal strength than for other Listeria species or other microorganisms, including Escherichia coli, Enterococcus faecalis, Salmonella enterica, Lactobacillus plantarum, Carnobacterium gallinarum, Hafnia alvei, Corynebacterium glutamicum, Enterobacter aerogenes, Pseudomonas aeruginosa, and Serratia marcescens, in pure or in mixed-culture setup. Fiber-optic results could be obtained within 2.5 h of sampling. The sensitivity threshold was about 4.3 × 103 CFU/ml for a pure culture of L. monocytogenes grown at 37°C. When L. monocytogenes was mixed with lactic acid bacteria or grown at 10°C with 3.5% NaCl, the detection threshold was 4.1 × 104 or 2.8 × 107 CFU/ml, respectively. In less than 24 h, this method could detect L. monocytogenes in hot dog or bologna naturally contaminated or artificially inoculated with 10 to 1,000 CFU/g after enrichment in buffered Listeria enrichment broth.

Genetic homogeneity among Listeria monocytogenes strains from infected patients and meat products from two geographic locations determined by phenotyping, ribotyping and PCR analysis of virulence genes

Thirty Listeria monocytogenes isolates from human patients and foods originated from two different geographic locations without any epidemiological relations were analyzed for their genotypic and phenotypic virulence gene expressions and genetic relatedness. All strains contained virulence genes, inlA, inlB, actA, hlyA, plcA and plcB, with expected product size in PCR assay except for the actA gene. Some strains produced actA gene product of 268 and others 385 bp. Phenotypically, all were hemolytic but showed variable expressions of phospholipase activity. Ribotyping classified isolates into 12 different groups based on the similarity to DuPont Identification numbers (DID), which consisted primarily of clinical or food isolates or both. Cluster analysis also indicated possible existence of clones of L. monocytogenes that are found in food or human hosts or are evenly distributed between these two. Two isolates (F1 from food and CHL1250 from patient) had unique ribotype patterns that were not previously reported in the RiboPrinter database. This study indicates distribution of diverse L. monocytogenes strains in clinical and food environments. The isolates showed 92-99% genetic homogeneity, in spite of their origins from two different geographic locations and environments.