Detection of Escherichia coli in meat with an electrochemical biochip

A nanobiosensor based on graphene oxide and DNA binding dye for multi-microRNAs detection

Multiplex assays for detection of biomarkers, provide advantageous analyses of different factors related to diagnoses of diseases. The Alzheimer’s disease (AD) is one of the most common disease in old people in societies which is increasing, significantly. A group of microRNAs (miRNAs) play an important role in developing the disease which can be considered as early stage biomarkers. Since, selective, sensitive, simple and rapid method for detection of these miRNAs in a single test is critical for early diagnosis and efficient therapy of the disease, herein, we report a sensitive fluorescence assay based on enzyme-free and isothermal hybridization chain reaction with SYBR Green and graphene oxide (GOX) for early detection of miR-137 and miR-142, as two Alzheimer’s biomarkers. Fluorescence spectrophotometry based on SYBR Green signal and GOX as the fluorescence quencher was used for detection and quantification of targets’ miRNAs and change in fluorescence intensity due to absence and presence of the targets was measured. The limit of detection in the newly designed nanobiosensor was achieved as 82 pM with a sensitive detection of the miRNAs from 0.05 to 5 nM, that is critical for detecting the biomarkers. Given the real range of concentrations of miRNAs in blood (from nanomolar to femtomolar values), the method holds great promise in dual and multiple targets detection due to its sensitivity, rapidness, inexpensive and specificity which provides a convenient detection method of Alzheimer’s in early stage.

Microbial detection and identification methods: Bench top assays to omics approaches

Rapid detection of foodborne pathogens, spoilage microbes, and other biological contaminants in complex food matrices is essential to maintain food quality and ensure consumer safety. Traditional methods involve culturing microbes using a range of nonselective and selective enrichment methods, followed by biochemical confirmation among others. The time-to-detection is a key limitation when testing foods, particularly those with short shelf lives, such as fresh meat, fish, dairy products, and vegetables. Some recent detection methods developed include the use of spectroscopic techniques, such as matrix-assisted laser desorption ionization-time of flight along with hyperspectral imaging protocols.This review presents a comprehensive overview comparing insights into the principles, characteristics, and applications of newer and emerging techniques methods applied to the detection and identification of microbes in food matrices, to more traditional benchtop approaches. The content has been developed to provide specialist scientists a broad view of bacterial identification methods available in terms of their benefits and limitations, which may be useful in the development of future experimental design. The case is also made for incorporating some of these emerging methods into the mainstream, for example, underutilized potential of spectroscopic techniques and hyperspectral imaging.

Rapid Detection of Escherichia coli in Fresh Foods Using a Combination of Enrichment and PCR Analysis

The objective of this study was to determine the minimum enrichment time for different types of food matrix (pork, beef, and fresh-cut lettuce) in an effort to improve Escherichia coli detection efficiency. Fresh pork (20 g), beef (20 g), and fresh-cut lettuce (20 g) were inoculated at 1, 2, and 3 Log CFU/g of Escherichia coli. Samples were enriched in filter bags for 3 or 5 h at 44.5°C, depending on sample type. E. coli cell counts in the samples were enriched in E. coli (EC) broth at 3 or 5 h. One milliliter of the enriched culture medium was used for DNA extraction, and PCR assays were performed using primers specific for uidA gene. To detect E. coli (uidA) in the samples, a 3-4 Log CFU/mL cell concentration was required. However, E. coli was detected at 1 Log CFU/g in fresh pork, beef, and fresh-cut lettuce after 5, 5, and 3-h enrichment, respectively. In conclusion, 5-h enrichment for fresh meats and 3-h enrichment for fresh-cut lettuce in EC broth at 44.5°C, and PCR analysis using uidA gene-specific primers were appropriate to detect E. coli rapidly in food samples.

Rapid Fluorescent Detection of Enterotoxigenic Escherichia coli (ETEC) K88 Based on Graphene Oxide-Dependent Nanoquencher and Klenow Fragment-Triggered Target Cyclic Amplification

Based on Klenow fragment (KF)-assisted target recycling amplification and graphene oxide (GO), a novel aptasensor, containing a capture probe (CP) and a signal probe (SP), was constructed and applied for the rapid detection of enterotoxigenic Escherichia coli (ETEC) K88. The CP was constructed of regions I and II, where the region I is aptamer sequence of ETEC K88 and the region II can form a double-stranded DNA structure with the SP. The SP was labeled with carboxyfluorescein (FAM) and acted as the primer sequence of the polymerization reaction. Before the targets were added, the two probes formed a partial double-strand junction (PDSJ) on the surface of the GO and the fluorescence was completely quenched. In the presence of the targets, the fluorescence was recovered due to the formation of the target-aptamer complex and its separation from the surface of the GO. Following this, the target-aptamer complex initiated the polymerization of the DNA strand in the presence of deoxynucleotides (dNTPs) and the KF. The displaced target then combined into another PDSJ, and the cycle started anew, leading to the formation of numerous complementary double-stranded DNAs. Meanwhile, the fluorescence signal was significantly enhanced. The results indicated that the established sensor has higher sensitivity specificity to its target bacteria in a wide range of 1 × 10(2) to 1 × 10(8) colony-forming units (CFU) mL(-1). The detection limit based on a signal-to-noise ratio (S/N) of 3 is 1 × 10(2) CFU mL(-1). More important, this rapid detection method is superior to other methods, having not only a short detection time but also a low fluorescence background, and is cheaper and has a wider applicability because its probes are easily designed and synthesized. Given these factors, our detection system has great prospects as a potential alternative to conventional ETEC K88 detection.

Diagnostic accuracy of porcine acute phase proteins in meat juice for detecting disease at abattoir

The aim of this work was to evaluate whether acute phase protein (APP) determinations could assist Official Veterinarians carrying out work in slaughterhouses. To test this hypothesis, the diagnostic accuracy of APP determinations in meat juice of pigs was analysed to differentiate between healthy and diseased pigs. One hundred and one pigs of two different origins were classified into two groups according to their health status (healthy and diseased pigs), which was determined by a veterinary clinical examination on the farm. To assess the pigs' immune status, against the main porcine diseases, serological analyses were monitored. A general idea of the degree of disease coverage was analysed by examining organ lesions postmortem. Haptoglobin (Hp) and C reactive protein (CRP) were measured in meat juice samples. 72.13 per cent of pigs appeared to be seropositive for the porcine respiratory and reproductive syndrome virus, and almost 86.2 per cent of them had concomitant infections with other pathogens, such as Porcine circovirus type 2 or Swine influenza virus. Median Hp and CRP concentrations were significantly higher in diseased animals at different stages of the production chain, when compared with levels found in healthy finishing pigs (P<0.0001). Receiver operating characteristic analysis showed the highest sensitivity-specificity pairs, nearly 80-90 per cent, at cut-off levels of 83 and 10 µg/ml for Hp and CRP determinations, respectively, with high AUCs 0.9. This cut-off could be useful for veterinary inspections at the time of slaughter, to differentiate between the carcase of a healthy animal and the carcase of an animal suffering from a systemic disease, which should be completely condemned.

A lateral flow assay for identification of Escherichia coli by ribosomal RNA hybridisation

Existing technologies for analysis of microbiological contaminants in food or clinical samples are often expensive and require laboratory settings and trained personnel. Here we present a lateral flow assay employing gold nanoparticle-oligodeoxynucleotide conjugates and four-component sandwich hybridisation for direct detection of specific sequences in bacterial 16S ribosomal RNA. Combined with rapid "one step" lysis the developed procedure allows detection of 5 × 10(4) colony forming units per mL Escherichia coli within less than 25 minutes. Several Escherichia coli strains were detected successfully, whereas non-related as well as closely related bacterial species produced no signal. The developed nucleic acid lateral flow assay is inexpensive, rapid to perform and requires no nucleic acid amplification step.

Visual detection of microRNA with lateral flow nucleic acid biosensor

We report a DNA-gold nanoparticle (DNA-GNP) based lateral flow nucleic acid biosensor for visual detection of microRNA (miRNA)-215 in aqueous solutions and biological samples with low-cost and short analysis time. Sandwich-type hybridization reactions among GNP-labeled DNA probe, miRNA-215 and biotin-modified DNA probes were performed on the lateral flow device. The accumulation of GNPs on the test zone of the biosensor enables the visual detection of miRNA-215. After systematic optimization, the biosensor was able to detect a minimum concentration of 60 pM miRNA-215. The biosensor was applied to detect miRNA-215 from A549 cell lysate directly without complex sample treatment, and the detection limit of 0.148 million cells was obtained. This study provides a simple, rapid, specific and low-cost approach for miRNA detection in aqueous solutions and biological samples, showing great promise for clinical application and biomedical diagnosis in some malignant diseases.