A multiplex PCR assay with a common primer for the detection of eleven foodborne pathogens

A recombinase polymerase amplification-SYBR Green I assay for the rapid and visual detection of Brucella

Brucellosis is a zoonosis caused by Brucella, which poses a great threat to human health and animal husbandry. Pathogen surveillance is an important measure to prevent brucellosis, but the traditional method is time-consuming and not suitable for field applications. In this study, a recombinase polymerase amplification-SYBR Green I (RPAS) assay was developed for the rapid and visualized detection of Brucella in the field by targeting BCSP31 gene, a conserved marker. The method was highly specific without any cross-reactivity with other common bacteria and its detection limit was 2.14 × 104 CFU/mL or g of Brucella at 40 °C for 20 min. It obviates the need for costly instrumentation and exhibits robustness towards background interference in serum, meat, and milk samples. In summary, the RPAS assay is a rapid, visually intuitive, and user-friendly detection that is highly suitable for use in resource-limited settings. Its simplicity and ease of use enable swift on-site detection of Brucella, thereby facilitating timely implementation of preventive measures.

Advances in aptamer-based biosensors for monitoring foodborne pathogens

Biosensors are analytical devices for detecting a wide range of targets, including cells, proteins, DNA, enzymes, and chemical and biological compounds. They mostly rely on using bioprobes with a high binding affinity to the target for specific detection. However, low specificity and effectiveness of the conventional biosensors has led to the search for novel materials, that can specifically detect biomolecules. Aptamers are a group of single-stranded DNA or RNA oligonucleotides, that can bind to their targets with high specificity and serve as effective bioprobes for developing aptamer-based biosensors. Aptamers have a shorter production time, high stability, compared to traditional bioprobes, and possess ability to develop them for specific target molecules for tailored applications. Thus, various aptasensing approaches, including electrochemical, optical, surface plasmon resonance and chip-dependent approaches, have been investigated in recent times for various biological targets, including foodborne pathogens. Hence, this article is an overview of various conventional foodborne pathogen detection methods, their limitations and the ability of aptamer-based biosensors to overcome those limitations and replace them. In addition, the current status and advances in aptamer-based biosensors for the detection of foodborne pathogens to ensure food safety were also discussed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13197-023-05889-8.

Modularization of dual recognized CRISPR/Cas12a system for the detection of Staphylococcus aureus assisted by hydrazone chemistry

In this work, a dual recognized CRISPR/Cas12a system has been proposed, in which the activation chain is cleverly divided into two parts that can serve for precise dual target recognition, and hydrazone chemistry is introduced for the formation of a whole activation chain. It has been further explored to construct a new method for the specific and sensitive detection of Staphylococcus aureus (SA) as one of the most common pathogens in infectious diseases. In virtue of proximity effect contributed by complementary base pairing, hydrazone chemistry accelerates the formation of the whole activation strand and improves the specificity of the CRISPR/Cas12a system, serving for the accurate analysis of SA. Moreover, the temporary aggregation of CRISPR/Cas12a around SA enhances its catalytical efficiency so as to further amplify signal. With high sensitivity, stability, reproducibility and specificity, the established method has been successfully applied to detect SA in complex substrates. Meanwhile, our established method can well evaluate the inhibition effect of chlorogenic acid and congo red in comparison with flow cytometry. ENVIRONMENTAL IMPLICATION: Bacterial pathogens exist widely in the environment and seriously threaten the safety of human health. Staphylococcus aureus (SA) is the most common pathogen of human suppurative infection, which can cause local suppurative infection, pneumonia, and even systemic infections such as sepsis. In this work, a dual recognized CRISPR/Cas12a system mediated by hydrazone chemistry has been proposed. With high sensitivity and low detection limit, the established method can specifically detect SA and effectively evaluate the antibacterial effect of inhibitors. This method is expected to be further developed into a detection method in different scenarios such as environmental monitoring and clinical diagnosis.

Carbon dots for staining bacterial dead cells and distinguishing dead/alive bacteria

The small molecular dyes such as propidium iodide (PI) always suffer from photo-bleaching and potential toxicity. To tackle the problems, a type of nontoxic carbon dots (CDs) was obtained for dead/alive bacterial distinguishing. This kind of carbon dots has an average size of 1.91 nm and owns carboxyl groups, emerging as excellent candidates for imaging bacterial cells. The negative charges of carboxyl groups lead their avoidance of alive cells while their small size facilitates penetration of dead cells. This kind of nontoxic CDs has effectively differentiated between and alive ones, presenting a highly promising green dye comparing with traditional small molecular dyes.

Comparative Molecular Virulence Typing and Antibiotic Resistance of Campylobacter Species at the Human-Animal-Environment Interface

This study holds significant importance due to its focus on Campylobacter, the leading bacterial cause of gastroenteritis worldwide, responsible for ∼96 million cases each year. By investigating the prevalence of both Campylobacter jejuni and Campylobacter coli in humans, animals, and the environment, this research sheds light on the broader impact of these pathogens, which can harm both human and animal populations. Traditional microbiological methods were implemented followed by optimized multiplex polymerase chain reaction targeting 16S rDNA and virulence gene markers by using specific primers. The findings revealed that a total of 219 Campylobacter isolates were recovered from 528 collected specimens from human, animal, and environmental sources. Campylobacter species showed a prevalence of 41.5%, with C. jejuni accounting for 53% and C. coli for 47%. Antimicrobial resistance rates were high, with tetracycline at 89%, ceftriaxone at 75%, cefotaxime at 70%, erythromycin at 69%, nalidixic acid at 54%, ciprofloxacin at 39%, and gentamicin at 23%. Commonly prevalent virulence-associated genes observed in the Campylobacter were cadF at 93%, flaA at 91%, cdtB at 88%, cheY at 86%, sodB at 78%, and iamA at 32%. The study confirmed multidrug-resistant Campylobacter prevalence at the human-animal-environment interface, harboring virulence-associated genes with potential harm to humans. Data analysis showed a nonsignificant (p ≥ 0.05) correlation between virulence genes and antibiotic susceptibility. To effectively manage Campylobacter infections, a multifaceted strategy incorporating preventative interventions at different levels is required. This strategy should take into account practicability, effectiveness, and sustainability while strengthening surveillance systems and addressing the economics of disease prevention.

Mineralization mechanism of organic carbon in maize rhizosphere soil of soft rock and sand mixed soil under different fertilization modes

Introduction

This article endeavors to investigate the influence of various fertilization methods on the characteristics of rhizosphere soil and organic carbon mineralization in the mixed soil of Mu Us Sandy land under maize cultivation, with the objective of laying the groundwork for low-carbon agriculture and the development of high-quality farmland.

Methods

The research focuses on soft rock and sand composite soil with a 1:2 ratio, and it comprises four treatments: no fertilization (CK), only chemical fertilization (CF), only cattle manure application (MF), and only oil residue application (DF).

Results

The findings revealed that the use of organic fertilizer substantially elevated nutrient content and enzyme activity in the maize rhizosphere soil. Furthermore, it had a notable influence on both soil aggregate diameter and stability. Specifically, the DF treatment led to a significant increase in both soil aggregate diameter and stability. The mineralization rate of organic carbon in the maize rhizosphere soil could be categorized into two distinct phases: a rapid initial decline followed by a slower release. By the end of the incubation period, the cumulative mineralization of organic carbon in the MF, DF, and CF treatments showed a significant increase of 119.87%, 57.57%, and 24.15%, respectively, in comparison to the CK treatment. Additionally, the mineralization rate constants of the DF and MF treatments experienced a substantial rise, with increments of 23.52% and 45.97%, respectively, when contrasted with the CK treatment. The bacterial phyla Actinobacteriota, Proteobacteria, Chloroflexi, Acidobacteriota, and Firmicutes were dominant in the rhizosphere soil bacterial community. Specific genera such as Nocardioides and Sphingomonas showed significant correlations with organic carbon mineralization. The application of different organic fertilizer can improve soil physical, chemical and biological properties, and promote the mineralization process of organic carbon in maize rhizosphere soil.

Discussion

Notably, the DF treatment exhibited the most favorable outcome, improving the overall quality of maize rhizosphere soil while incurring a minimal loss of unit organic carbon. These findings hold significant implications for optimizing field management practices and augmenting soil quality.

Triazine-based covalent-organic framework embedded with cuprous oxide as the bioplatform for photoelectrochemical aptasensing Escherichia coli

A superior photoelectrochemical (PEC) aptasensor was manufactured for the detection of Escherichia coli (E. coli) based on a hybrid of triazine-based covalent-organic framework (COF) and cuprous oxide (Cu2O). The COF synthesized using 1,3,5-tris(4-aminophenyl)-benzene (TAPB) and 1,3,5-triformylphloroglucinol (Tp) as building blocks acted as a scaffold for encapsulated Cu2O nanoparticles (denoted as Cu2O@TAPB-Tp-COF), which then was employed as the bioplatform for anchoring E. coli-targeted aptamer. Cu2O@Cu@TAPB-Tp-COF demonstrated enhanced separation of the photogenerated carriers and photoabsorption ability and boosted photoelectric conversion efficiency. The developed Cu2O@TAPB-Tp-COF-based PEC aptasensor exhibited a lower detection limit of 2.5 CFU mL-1 toward E. coli within a wider range of 10 CFU mL-1 to 1 × 104 CFU mL-1 than most of reported aptasensors for determining foodborne bacteria, together with high selectivity, good stability, and superior ability and reproducibility. The recoveries of E. coli spiked into milk and bread samples ranged within 95.3-103.6% and 96.6-102.8%, accompanying with low RSDs of 1.37-4.48% and 1.74-3.66%, respectively. The present study shows a promising alternative for the sensitive detection of foodborne bacteria from complex foodstuffs and pathogenic bacteria-polluted environment.

Aptamer-modified metal organic frameworks for measurement of food contaminants: a review

The measurement of food contaminants faces a great challenge owing to the increasing demand for safe food, increasing consumption of fast food, and rapidly changing patterns of human consumption. As different types of contaminants in food products can pose different levels of threat to human health, it is desirable to develop specific and rapid methods for their identification and quantification. During the past few years, metal-organic framework (MOF)-based materials have been extensively explored in the development of food safety sensors. MOFs are porous crystalline materials with tunable composition, dynamic porosity, and facile surface functionalization. The construction of high-performance biosensors for a range of applications (e.g., food safety, environmental monitoring, and biochemical diagnostics) can thus be promoted through the synergistic combination of MOFs with aptamers. Accordingly, this review article delineates recent innovations achieved for the aptamer-functionalized MOFs toward the detection of food contaminants. First, we describe the basic concepts involved in the detection of food contaminants in terms of the advantages and disadvantages of the commonly used analytical methods (e.g., DNA-based methods (PCR/real-time PCR/multiplex PCR/digital PCR) and protein-based methods (enzyme-linked immunosorbent assay/immunochromatography assay/immunosensor/mass spectrometry). Afterward, the progress in aptamer-functionalized MOF biosensors is discussed with respect to the sensing mechanisms (e.g., the role of MOFs as signal probes and carriers for loading signal probes) along with their performance evaluation (e.g., in terms of sensitivity). We finally discuss challenges and opportunities associated with the development of aptamer-functionalized MOFs for the measurement of food contaminants.

Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review

Foodborne pathogens are a major public health concern and have a significant economic impact globally. From harvesting to consumption stages, food is generally contaminated by viruses, parasites, and bacteria, which causes foodborne diseases such as hemorrhagic colitis, hemolytic uremic syndrome (HUS), typhoid, acute, gastroenteritis, diarrhea, and thrombotic thrombocytopenic purpura (TTP). Hence, early detection of foodborne pathogenic microbes is essential to ensure a safe food supply and to prevent foodborne diseases. The identification of foodborne pathogens is associated with conventional (e.g., culture-based, biochemical test-based, immunological-based, and nucleic acid-based methods) and advances (e.g., hybridization-based, array-based, spectroscopy-based, and biosensor-based process) techniques. For industrial food applications, detection methods could meet parameters such as accuracy level, efficiency, quickness, specificity, sensitivity, and non-labor intensive. This review provides an overview of conventional and advanced techniques used to detect foodborne pathogens over the years. Therefore, the scientific community, policymakers, and food and agriculture industries can choose an appropriate method for better results.

Yersiniosis: a forgotten mimicker and confounder of Crohn’s disease

Yersiniosis is a zoonosis caused by the Yersinia bacterium. The route of infection is most commonly oral and is caused by consumption of Yersinia-contaminated food. The clinical presentations of chronic yersiniosis are abdominal pain, diarrhea, relapsing arthritis, and skin lesions, that is, nodular erythema. The diagnosis is based on culture-dependent identification of Yersinia in stool, positive serologic test results, or molecular techniques. The treatment of choice is combination antibiotic therapy. Mild forms of the disease do not usually require treatment. Yersiniosis frequently mimics or confounds other chronic intestinal and extraintestinal inflammatory conditions, particularly Crohn’s disease. Therefore, diagnosis of yersiniosis may be a challenge for medical practitioners. Not including Yersinia infection in the differential diagnosis of abdominal symptoms can lead to an incorrect diagnosis and inappropriate treatment. This review summarises the current knowledge of Yersinia enterocolitica and pseudotuberculosis infection, with special focus on differential diagnosis between this infection and Crohn’s disease.

Application of Nanopore Sequencing in the Detection of Foodborne Microorganisms

Foodborne pathogens have become the subject of intense interest because of their high incidence and mortality worldwide. In the past few decades, people have developed many methods to solve this challenge. At present, methods such as traditional microbial culture methods, nucleic acid or protein-based pathogen detection methods, and whole-genome analysis are widely used in the detection of pathogenic microorganisms in food. However, these methods are limited by time-consuming, cumbersome operations or high costs. The development of nanopore sequencing technology offers the possibility to address these shortcomings. Nanopore sequencing, a third-generation technology, has the advantages of simple operation, high sensitivity, real-time sequencing, and low turnaround time. It can be widely used in the rapid detection and serotyping of foodborne pathogens. This review article discusses foodborne diseases, the principle of nanopore sequencing technology, the application of nanopore sequencing technology in foodborne pathogens detection, as well as its development prospects.

Hapten-labeled fusion-polymerase chain reaction of multiple marker genes for the application of immunochromatographic test

A variety of methods have been reported using polymerase chain reaction (PCR)-based nucleic acid testing (NAT) because of its potential to be used in highly sensitive inspection systems. Among these NATs, fusion-PCR (also called as overlap-extension-PCR) has been focused on this study and adopted to generate the fused amplicon composed of plural marker gene fragments for detection. Generally, conventional agarose gel electrophoresis followed by gel staining is employed to check the PCR results. However, these are time-consuming processes that use specific equipment. To overcome these disadvantages, the immunochromatographic test (ICT) for the detection of PCR amplicons with hapten-labels that were generated by PCR using hapten-labeled primers was also adopted in this study. Based on these concepts, we constructed the systems of hapten-labeled fusion-PCR (HL-FuPCR) followed by ICT (HL-FuPCR-ICT) for the two and three marker genes derived from pathogenic microbe. As a result, we successfully developed a two marker genes system for the pathogenic influenza A virus and a three marker genes system for the penicillin-resistant Streptococcus pneumoniae. These detection systems of HL-FuPCR-ICT are characterized by simple handling and rapid detection within few minutes, and also showed the results as clear lines. Thus, the HL-FuPCR-ICT system introduced in this study has potential for use as a user-friendly inspection tool with the advantages especially in the detection of specific strains or groups expressing the characteristic phenotype(s) such as antibiotic resistance and/or high pathogenicity even in the same species.

Multiplex PCR method for the detection of human norovirus, Salmonella spp., Shigella spp., and shiga toxin producing Escherichia coli in blackberry, coriander, lettuce and strawberry

A multiplex PCR method was developed for the simultaneous detection of murine norovirus (MNV-1) as a surrogate for human norovirus (HuNoV) GI and GII, Salmonella spp., Shigella spp., and Shiga toxin producing Escherichia coli (STEC) in fresh produce. The toxicity of the glycine buffer on bacterial pathogens viability was evaluated. The growth of each of the three pathogens (previously stressed) was evaluated at 35 and 41.5 °C in modified buffered peptone water (mBPW) and trypticase soy broth (TSB), supplemented with vancomycin, novobiocin and brilliant green at two concentration levels. The selected conditions for simultaneous enrichment were: 41.5 °C/mBPW/supplemented with 8 ppm vancomycin, 0.6 ppm novobiocin and 0.2 ppm brilliant green. The pathogens and aerobic plate count (APC) growth was evaluated in the enrichment of lettuce, coriander, strawberry and blackberry under the best enrichment conditions. Starting from 1 to 10 CFU/mL, Salmonella reached from 7.63 to 8.91, Shigella 6.81 to 7.76 and STEC 7.43 to 9.27 log CFU/mL. The population reached for the APC was 5.11-6.56 log CFU/mL. Simultaneous detection by PCR was done using designed primers targeting invA, ipaH, stx1 and stx2 genes, and MNV-1. The detection sensitivity was 10-100 PFU for the MNV-1 and 1-10 CFU for each pathogenic bacteria. This protocol takes 6 h for MNV-1 and 24 h for Salmonella spp., Shigella spp., and STEC detection from the same food portion. In total, 200 samples were analyzed from retail markets from Queretaro, Mexico. Two strawberry samples were positive for HuNoV GI and one lettuce sample was positive for STEC. In conclusion, the method developed in this study is capable of detecting HuNoV GI and GII, Salmonella spp., Shigella spp and STEC from the same fresh produce sample.

Rapid and sensitive detection of Staphylococcus aureus using biolayer interferometry technology combined with phage lysin LysGH15

Staphylococcus aureus (S. aureus), considered as a common foodborne pathogenic microorganism, usually causes food poisoning and various infectious diseases. Therefore, development of rapid and accurate bacterial detection method is the key to preventing food poisoning and achieving early diagnosis and treatment of various infectious diseases caused by S. aureus. Biolayer interferometry (BLI) technology is a novel technique of label-free optical analysis for real-time monitoring of biomolecular interactions. The C54A mutation induced the lytic activity loss of phage lysin LysGH15 but retained the capacity for specific recognizing and binding S. aureus. In this study, a novel method for the detection of S. aureus was established using the C54A mutant LysGH15 as the receptor in combination with BLI. Using this BLI-based method, S. aureus whole cells could be directly assayed and the limit of detection was 13 CFU/mL with a binding time of 12 min. Because the C54A mutant LysGH15 recognizes S. aureus with very high specificity, the method can exclude potential interference from other bacterial species. In addition, this method could also distinguish between viable and dead S. aureus. Moreover, S. aureus was successfully detected in ice cubes and light soy sauce by using this method. Collectively, these results indicate that the LysGH15-based BLI method can be used as an efficient and reliable diagnostic tool in the field of food safety and other related fields for the rapid, sensitive, label-free, and real-time detection of S. aureus.

Next-Generation Food Research: Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food Chain

Microorganisms exist along the food chain and impact the quality and safety of foods in both positive and negative ways. Identifying and understanding the behavior of these microbial communities enable the implementation of preventative or corrective measures in public health and food industry settings. Current culture-dependent microbial analyses are time-consuming and target only specific subsets of microbes. However, the greater use of culture-independent meta-omic approaches has the potential to facilitate a thorough characterization of the microbial communities along the food chain. Indeed, these methods have shown potential in contributing to outbreak investigation, ensuring food authenticity, assessing the spread of antimicrobial resistance, tracking microbial dynamics during fermentation and processing, and uncovering the factors along the food chain that impact food quality and safety. This review examines the community-based approaches, and particularly the application of sequencing-based meta-omics strategies, for characterizing microbial communities along the food chain. Expected final online publication date for the Annual Review of Food Science and Technology, Volume 13 is March 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Aptasensors for Staphylococcus aureus Risk Assessment in Food

Staphylococcus aureus (S. aureus) is the top ordinary pathogen causing epidemic and food poisoning. The authentication of S. aureus has great significance for pathologic diagnosis and food hygiene supervision. Various biosensor methods have been established for identification. This paper reviews the research progress of aptasensors for S. aureus detection, focusing on the classification of aptamer technologies, including optical aptasensors and electrochemical aptasensors. Furthermore, the feasibility and future challenges of S. aureus detection for aptamer assays are discussed. Combining aptasensors with nanomaterials appears to be the developing trend in aptasensors.

Rapid and Simultaneous Detection of Five, Viable, Foodborne Pathogenic Bacteria by Photoinduced PMAxx-Coupled Multiplex PCR in Fresh Juice

Escherichia coli, Staphylococcus aureus, Shigella, Pseudomonas aeruginosa, and Klebsiella pneumoniae are common foodborne pathogens. In this study, the light-induced PMAxx-coupled multiplex PCR (PMAxx-mPCR) was established to detect the aforementioned five foodborne pathogens in fresh juice at the same time. Moreover, PMAxx pretreatment could effectively distinguish live bacteria from dead bacteria. The optimized PMAxx pretreatment conditions were incubation with a final concentration of 10 μmol/L PMAxx for 10 min and then photolysis for 8 min. After PMAxx pretreatment, the difference in Ct values with or without PMAxx was determined by quantitative real-time PCR. The results showed a significant difference in Ct value before and after PMAxx treatment. Finally, the bacteria-contaminated fresh juice samples treated with PMAxx dye were detected by mPCR. The detection limit of PMAxx-mPCR was 10² colony-forming units (CFU)/mL for E. coli, Shigella, P. aeruginosa, and K. pneumoniae and 10³ CFU/mL for S. aureus. Compared with mPCR detection of samples without PMAxx treatment, the proposed method solved the false-positive problem due to dead bacteria. Hence, an accurate and efficient method for the simultaneous detection of five types of pathogenic bacteria was established. This method could be applied to analytical procedures for ensuring food safety.

Direct Transverse Relaxation Time Biosensing Strategy for Detecting Foodborne Pathogens through Enzyme-Mediated Sol-Gel Transition of Hydrogels

In this work, we develop a direct transverse relaxation time (T₂) biosensing strategy and employ it for assaying foodborne pathogens relying on the alkaline phosphatase (ALP)-mediated sol-gel transition of hydrogels. ALP can catalyze the reaction to generate an acidic environment to transform the sol-state alginate solution to hydrogel, and this hydrogelation process can directly regulate the diffusion rate of water protons that results in a T₂ change of water molecules. By means of enzyme-modulated sol-gel transition and antigen-antibody interactions, this T₂ biosensor displays high sensitivity for detecting 50 CFU/mL S. enteritidis within 2 h. This biosensing strategy directly modulates the water molecules rather than magnetic probes in traditional methods, offering a straightforward, novel, and sensitive platform for pathogen detection.

From hazard analysis to risk control using rapid methods in microbiology: A practical approach for the food industry

The prevention of foodborne diseases is one of the main objectives of health authorities. To this effect, analytical techniques to detect and/or quantify the microbiological contamination of foods prior to their release onto the market are required. Management and control of foodborne pathogens have generally been based on conventional detection methodologies, which are not only time-consuming and labor-intensive but also involve high consumable materials costs. However, this management perspective has changed over time given that the food industry requires efficient analytical methods that obtain rapid results. This review covers the historical context of traditional methods and their passage in time through to the latest developments in rapid methods and their implementation in the food sector. Improvements and limitations in the detection of the most relevant pathogens are discussed from a perspective applicable to the current situation in the food industry. Considering efforts that are being done and recent developments, rapid and accurate methods already used in the food industry will be also affordable and portable and offer connectivity in near future, which improves decision-making and safety throughout the food chain.