Detection Of Toxins Research Articles

Molecular Memory Micromotors for Fast Snake Venom Toxin Dynamic Detection.

The analysis and detection of snake venom toxins are a matter of great importance in clinical diagnosis for fast treatment and the discovery of new pharmaceutical products. Current detection methods have high associated costs and require the use of sophisticated bioreceptors, which in some cases are difficult to obtain. Herein, we report the synthesis of template-based molecularly imprinted micromotors for dynamic detection of α-bungarotoxin as a model toxin present in the venom of many-banded krait (Bungarus multicinctus). The specific recognition sites are built-in in the micromotors by incubation of the membrane template with the target toxin, followed by a controlled electrodeposition of a poly(3,4-ethylenedioxythiophene)/poly(sodium 4-styrenesulfonate) polymeric layer, a magnetic Ni layer to promote magnetic guidance and facilitate washing steps, and a Pt layer for autonomous propulsion in the presence of hydrogen peroxide. The enhanced fluid mixing and autonomous propulsion increase the likelihood of interactions with the target analyte as compared with static counterparts, retaining the tetramethylrhodamine-labeled α-bungarotoxin on the micromotor surface with extremely fast dynamic sensor response (after just 20 s navigation) in only 3 μL of water, urine, or serum samples. The sensitivity achieved meets the clinically relevant concentration postsnakebite (from 0.1 to 100 μg/mL), illustrating the feasibility of the approach for practical applications. The selectivity of the protocol is very high, as illustrated by the absence of fluorescence in the micromotor surface in the presence of α-cobratoxin as a representative toxin with a size and structure similar to those of α-bungarotoxin. Recoveries higher than 95% are obtained in the analysis of urine- and serum-fortified samples. The new strategy holds considerable promise for fast, inexpensive, and even onsite detection of several toxins using multiple molecularly imprinted micromotors with tailored recognition abilities.

Self-designed portable dual-mode fluorescence device with custom python-based analysis software for rapid detection via dual-color FRET aptasensor with IoT capabilities

An innovative aptasensor incorporating MoS2-modified bicolor quantum dots and a portable spectrometer, designed for the simultaneous detection of ochratoxin A (OTA) and aflatoxin B1 (AFB1) in corn was developed. Carbon dots and CdZnTe quantum dots were as nano-donors to label OTA and AFB1 aptamers, respectively. These labeled aptamers were subsequently attached to MoS2 receptors, enabling fluorescence resonance energy transfer (FRET). With targets, the labeled aptamers detached from the nano-donors, thereby disrupting the FRET process and resulting in fluorescence recovery. Furthermore, a portable dual-mode fluorescence detection system, complemented with customized python-based analysis software, was developed to facilitate rapid and convenient detection using this dual-color FRET aptasensor. The developed host program is connected to the spectrometer and transmits data to the cloud, enabling the device to have Internet of Things (IoT) characteristics. Connected to the cloud, this IoT-enabled device offers convenient and reliable fungal toxin detection for food safety.

Sensor Selection for an Electronic Tongue for the Rapid Detection of Paralytic Shellfish Toxins: A Case Study

The performance of an electronic tongue can be optimized by varying the number and types of sensors in the array and by employing data-processing methods. Sensor selection is typically performed empirically, with sensors picked up either by analyzing their characteristics or through trial and error, which does not guarantee an optimized sensor array composition. This study focuses on developing a method for sensor selection for an electronic tongue using simulated sensor data and Lasso regularization. Simulated sensor responses were calculated using sensor parameters such as sensitivity and selectivity, which were determined in the individual analyte solutions. Sensor selection was carried out using Lasso regularization, which removes redundant or highly correlated variables without much loss of information. The objective of the optimization of the sensor array was twofold, aiming to minimize both quantification errors and the number of sensors in the array. The quantification of toxins belonging to one of the groups of marine toxins—paralytic shellfish toxins (PSTs)—using arrays of potentiometric chemical sensors was used as a case study. Eight PSTs corresponding to the toxin profiles in bivalves due to the two common toxin-producing phytoplankton species, G. catenatum (dcSTX, GTX5, GTX6, and C1+2) and A. minitum (STX, GTX2+3), as well as total sample toxicity, were included in the study. Experimental validation with mixed solutions of two groups of toxins confirmed the suitability of the proposed method of sensor array optimization with better performance obtained for the a priori optimized sensor arrays. The results indicate that the use of simulated sensor responses and Lasso regularization is a rapid and efficient method for the selection of an optimized sensor array.

Silver Nanoparticle-Immobilized Cotton Fabric Serves as Flexible Surface-Enhanced Raman Scattering Substrate for Detection of Toxin

We designed composite materials containing silver nanoparticles (AgNPs) and cotton fabric (CF). The cellulose in cotton fabric contains -OH groups. These -OH groups were deprotonated by a pretreatment process, and Ag+ ions were allowed to bind. In the consecutive step, the Ag+ ions were reduced to fiber-bound AgNPs, generating AgNP@CF. Three different AgNP@CF composites were created, varying the concentration of the precursor AgNO3 solution. The composite materials were characterized by scanning electron microscopy (SEM), energy-dispersive X-ray analysis (EDX), powder X-ray diffraction (XRD), and FTIR spectroscopy. The AgNP@CF composites were assessed for the detection of toxins using the surface-enhanced Raman scattering (SERS) technique.

Underway measurement of cyanobacterial microcystins using a surface plasmon resonance sensor on an autonomous underwater vehicle

AbstractFreshwater cyanobacterial harmful algal blooms (CHABs) are a well‐known global public health threat. Monitoring and early detection of CHAB toxins are currently accomplished using labor‐intensive sampling techniques and subsequent shore‐based analyses, with results typically reported 24–48 h after sample collection. We have developed and implemented an uncrewed, autonomous mobile sampler‐analytical system capable of conducting targeted in situ toxin measurements in < 2 h. A surface plasmon resonance (SPR) instrument was combined with the environmental sample processor (ESP) to fully automate detection and quantification of particle‐associated cyanobacterial microcystins (pMC). This sensor‐sampler system was integrated with a long‐range autonomous underwater vehicle (LRAUV) and deployed in western Lake Erie for field trials in the summer of 2021. The LRAUV was remotely piloted to acquire samples at selected locations within and adjacent to a CHAB. Sixteen pMC measurements ranging from 0.09 to 0.55 μg/L lake water were obtained over a 14‐day period without recovery of the LRAUV. The SPR/ESP/LRAUV system complements existing satellite, aerial, and manual sampling CHAB survey techniques, and could be used to enhance predictive models that underpin bloom and toxicity forecasts. This system is also extensible to detection of other algal toxins in freshwater and marine environments, with its near real‐time assessment of bloom toxin levels potentially offering additional socioeconomic benefits and public health protection in a variety of settings.

Utilizing excited-state proton transfer fluorescence quenching mechanism, layered rare earth hydroxides enable ultra-sensitive detection of nitroaromatic

Convenient, rapid, and accurate detection of nitroaromatic organic toxins and harmful substances is of great significance in research. In the present study, two-dimensional layered rare-earth hydroxides (LYH) were used as ion-exchange matrix materials, and the anionic fluorescent dye molecules (HPTS) were successfully introduced into the LYH structures in situ via a simple and effective “plug-and-play” strategy, which gave the compounds ultra-sensitive fluorescence sensing detection of nitrobenzene, p-nitrotoluene and p-nitrophenol (Fluorescence response time < 1 sec, and the LOD for nitrobenzene, p-nitrophenol and p-nitrotoluene reached an impressive 349 ppb, 22 ppb and 98 ppb, respectively). Combined with theoretical calculations, we elucidated in detail the fluorescence quenching response mechanism of the LYH-HPTS towards nitroaromatic. Additionally, we also constructed fluorescent paper sensor, which effectively transformed the LYH-HPTS from theoretical detection to device application. The LYH-HPTS material is not only simple to synthesize, cost-effective and stable, but also has the features of fast response, excellent sensitivity and selectivity, and good reproducibility, which provides a new approach for the rapid and accurate detection of nitroaromatic.

Detection of aflatoxin B1 in chili powder using attenuated total reflectance-Fourier transform infrared spectroscopy.

Aflatoxin B1, a major global food safety concern, is produced by toxigenic fungi during crop growing, drying, and storage, and shows increasing annual prevalence. This study aimed to detect aflatoxin B1 in chili samples using ATR-FTIR coupled with machine learning algorithms. We found that 83.6% of the chili powder samples were contaminated with Aspergillus and Penicillium species, with aflatoxin B1 levels ranging from 7.63 to 44.32 μg/kg. ATR-FTIR spectroscopy in the fingerprint region (1800-400 cm-1) showed peak intensity variation in the bands at 1587, 1393, and 1038 cm-1, which are mostly related to aflatoxin B1 structure. The PCA plots from samples with different trace amounts of aflatoxin B1 could not be separated. Vibrational spectroscopy combined with machine learning was applied to address this issue. The logistic regression model had the best F1 score with the highest %accuracy (73%), %sensitivity (73%), and %specificity (71%), followed by random forest and support vector machine models. Although the logistic regression model contributed significant findings, this study represents a laboratory research project. Because of the peculiarities of the ATR-FTIR spectral measurements, the spectra measured for several batches may differ, necessitating running the model on multiple spectral ranges and using increased sample sizes in subsequent applications. This proposed method has the potential to provide rapid and accurate results and may be valuable in future applications regarding toxin detection in foods when simple onsite testing is required.

Emerging Trends of Immunosensors Development for Detection of Food Toxins

The present study highlights the ongoing threat of foodborne illnesses to public health, primarily caused by bacterial pathogens. Despite advancements in conventional microbiological testing techniques, which are sensitive but time-consuming, challenges remain in ensuring timely detection of contaminants throughout the food supply chain. The Hazard Analysis Critical Control Point (HACCP) system is recognized as a more effective approach to ensuring food safety, emphasizing proactive identification and control of hazards at critical points in production. Emerging technologies like quantitative polymerase chain reaction (PCR) and biosensors offer faster and more accurate detection methods, although with certain limitations. Biosensors such as ELISA, SPR, and electrochemical immunosensors, in particular, show promise due to their high sensitivity and specificity, enabling rapid detection of a wide range of contaminants. This paper underscores the importance of integrating advanced technologies with established food safety protocols to enhance the safety and quality of food products, benefiting consumers, producers, and regulatory agencies alike.

A graphene oxide-assisted protein immobilization paper-tip immunosensor with smartphone and naked eye readout for the detection of okadaic acid

BackgroundOkadaic acid (OA), as a diarrhetic shellfish poisoning, can increase the risk of acute carcinogenic or teratogenic effects for the ingestion of OA contaminated shellfish. At present, much effort has been made to graft immunoassay onto a paper substrate to make paper-based sensors for rapid and simple detection of shellfish toxin. However, the complicated washing steps and low protein fixation efficiency on the paper substrate need to be further addressed. ResultsA novel paper-tip immunosensor for detecting OA was developed combined with smartphone and naked eye readout. The trapezoid paper tip was consisted of quantitative and qualitative detection zones. To improve the OA antigen immobilization efficiency on the paper substrate, graphene oxide (GO)-assisted protein immobilization method was introduced. Meanwhile, Au nanoparticles composite probe combined with the lateral flow washing was developed to simplify the washing step. The OA antigen-immobilized zone, as the detection zone Ⅰ, was used for quantitative assay by smartphone imaging. The paper-tip front, as the detection zone Ⅱ, which could qualitatively differentiate OA pollution level within 45 min using the naked eye. The competitive immunoassay on the paper tip exhibited a wide linear range for detecting OA (0.02–50 ng∙mL−1) with low detection limit of 0.02 ng∙mL−1. The recovery of OA in spiked shellfish samples was in the range of 90.3 %–113.%. SignificanceThese results demonstrated that the proposed paper-tip immunosensor could provide a simple, low-cost and high-sensitivity test for OA detection without the need for additional large-scale equipment or expertise. We anticipate that this paper-tip immunosensor will be a flexible and versatile tool for on-site detecting the pollution of marine products.

Challenges of Diphtheria Toxin Detection.

Diphtheria toxin (DT) is the main virulence factor of Corynebacterium diphtheriae, C. ulcerans and C. pseudotuberculosis. Moreover, new Corynebacterium species with the potential to produce diphtheria toxin have also been described. Therefore, the detection of the toxin is the most important test in the microbiological diagnosis of diphtheria and other corynebacteria infections. Since the first demonstration in 1888 that DT is a major virulence factor of C. diphtheriae, responsible for the systemic manifestation of the disease, various methods for DT detection have been developed, but the diagnostic usefulness of most of them has not been confirmed on a sufficiently large group of samples. Despite substantial progress in the science and diagnostics of infectious diseases, the Elek test is still the basic recommended diagnostic test for DT detection. The challenge here is the poor availability of an antitoxin and declining experience even in reference laboratories due to the low prevalence of diphtheria in developed countries. However, recent and very promising assays have been developed with the potential for use as rapid point-of-care testing (POCT), such as ICS and LFIA for toxin detection, LAMP for tox gene detection, and biosensors for both.

Study of Highly Efficient Au/Pt Nanoparticles for Rapid Screening of Clostridium difficile.

This study synthesized core/shell gold-platinum nanoparticles and characterized their colorimetric properties; ultraviolet-visible spectroscopy revealed that the synthesized nanoparticles exhibited distinct colors from conventional gold nanoparticles. Furthermore, the nanoparticles were subjected to lateral flow assays using Protein A, and the results revealed that they outperformed conventional spherical gold nanoparticles in terms of color development. This improvement can be attributed to the distinct core/shell structures of our nanoparticles. Further evaluation revealed that these nanoparticles could facilitate the detection of Clostridium difficile Toxin B visually at an extremely low concentration (1 ng/mL) without the requirement for advanced instrumentation. This substantial improvement in sensitivity can be attributed to the meticulous design and nanoscale engineering of the structure of the nanoparticles.

Antimicrobial Resistance and Associated Risk Factors for Clostridium difficile in Patients Attending Tertiary Care Settings.

To determine the incidence of antimicrobial-resistant emerging pathogens, Clostridium difficile, and its associated risk factors in tertiary care setups of Pakistan. This cross-sectional prospective study was conducted from January 2019 to December 2020, to determine the prevalence and antimicrobial resistance patterns of C. difficile strains isolated from 450 stool specimens of patients suffering from diarrhea hospitalized in tertiary care hospitals in Peshawar, Pakistan. The stool samples of the patients were processed for culture and detection of toxin A and toxin B by enzyme-linked immunosorbent assay (ELISA) and tpi PCR. The drug sensitivity test was performed for antibiotics including ampicillin, cefixime, cefepime, amoxicillin, nalidixic acid, sulpha/TMP (SXT), chloramphenicol, metronidazole, vancomycin, ciprofloxacin, levofloxacin, and imipenem. Of 450 stool specimens, 108 (24%) were positive for C. difficile by stool culture, whereas 115 (25.5%) were only positive for C. difficile toxins based on ELISA and PCR (128 (28.6%). Of 108, 90.7% (n = 98) isolates were resistant to one antibiotic, and 90 (83.4%) were resistant to three or more antimicrobials. The highest resistance rates were found against penicillin (83.3%) followed by amoxicillin (70%), nalidixic acid (61%), and metronidazole (38%), and the lowest resistance was found against vancomycin (6.4%) and imipenem (3.7%). CDI was statistically significantly correlated with increased age, use of antibiotics, abdominal surgeries, use of proton pump inhibitors and H2a, and presence of comorbidities. The high frequency of C. difficile in Peshawar, Pakistan, indicates that CDI is an important nosocomial infection in different hospitals. The results will be helpful for clinicians to redesign control and therapeutic strategies in hospitals.

Real-time PCR primers and probes for the detection of Shiga toxin genes, including novel subtypes

Shiga toxin-producing Escherichia coli (STEC) are foodborne enteric pathogens. STEC are differentiated from other E. coli by detection of Shiga toxin (Stx) or its gene (stx). The established nomenclature of Stx identifies ten subtypes (Stx1a, Stx1c, Stxd, Stx2a to Stx2g). An additional nine subtypes have been reported and described (Stx1e, Stx2h to Stx2o). Many PCR protocols only detect a subset of Stx subtypes which limits their inclusivity. Here we describe a real-time PCR assay inclusive of the DNA sequences of representatives of all currently described Stx subtypes.A multiplex real-time PCR assay for detection of stx was developed using nine primers and four probes. Since the identification of STEC does not require differentiation of stx subtypes, the probes use the same fluorescent reporter to enable detection of multiple possible targets in a single reaction. The PCR mixture includes an internal positive control to detect inhibition of the reaction. Thus, the protocol can be performed on a two-channel real-time PCR platform. To reduce the biosafety risk inherent in the use of STEC cultures as process controls, the protocol also includes the option of a non-pathogenic E. coli transformant carrying a plasmid encoding the targeted fragment of the stx2a sequence.The inclusivity of the PCR was assessed against colonies of 137 STEC strains and one strain of Shigella dysenteriae, including strains carrying single copies of stx representing fourteen subtypes (stx1 a, c, d; stx2 a-j and o). Five additional subtypes (stx1e, 2k, 2l, 2m and 2n) were represented by E. coli transformed with plasmids encoding toxoid (enzymatically inactive A subunit) sequences. The exclusivity panel consisted of 70 bacteria, including 21 stx-negative E. coli. Suitability for food analysis was assessed with artificially inoculated ground beef, spinach, cheese, and apple cider. The real-time PCR generated positive results for all 19 stx subtypes, represented by colonies of STEC, S. dysenteriae and E. coli transformants carrying stx toxoid plasmids. Tests of exclusivity panel colonies were all negative. The real-time PCR detected the presence of stx in all inoculated food enrichments tested, and the presence of STEC was confirmed by isolation.

Recognition mechanism of split T-2 toxin aptamer coupled with reliable dual-mode detection in peanut and beer

T-2 toxin is a highly poisonous trichothecene and a well-known contaminant in cereal grains and cereal-based products, hence it is essential to design a simple, reliable, and precise detection mechanism for ensuring food safety and human health. In response to this imperative, we innovatively designed an unreported split T-2 toxin aptamer probe, and the cooperative binding mechanism of the split aptamer to T-2 was first investigated. Based on these, a dual-mode fluorescence (FL) and fluorescence polarization (FP) aptasensor was developed for T-2 toxin detection in peanut and beer samples. The results showed an excellent detection property of the aptasensor, indicating a linear range of 0.1–20 nM and 0.2–50 nM at a detection limit of 0.1 nM, 0.12 nM for FL and FP signals, respectively. In actual sample assays, recoveries of 101.7%–115.2%, 109.8%–121.6% for FL and FP mode, respectively, were reached in peanuts, whereas recoveries ranged from 81.0% -124.0%, 94.1%–107.8% for FL and FP mode in beer. This designed dual-mode biosensor not only showed excellent performances but also verified each other and proved the reliability of binary split aptamer molecular probes.

A Case of Infant Botulism Treated with Human-Derived Antitoxin

Background: Infant botulism is a severe and rare illness due to the ingestion of the neurotoxin secreted by Clostridium botulinum and is a neuroparalytic descendant acute disease which is reversible, treatable and preventable. Symptoms vary from mild hypotonia to respiratory failure and sudden death. Clinical Observation: A four-months-old female baby taken to the Emergency Room because of hypoactivity and failure to eat. Parents reported constipation for the last 5 days. The physical examination showed a hypoactive baby with sleep tendency and mild axial hypotonia. During the next 48 hours there is a progressive worsening of the clinical condition with severe axial hypotonia, generalized weakness, weak cry, increasing difficulty in sucking and swallowing and increase of respiratory secretions together with weak cough reflex. An electromyogram was performed with normal results. Parents denied giving the baby honey, infusions or any other food other than milk or cereals. Although there was no clear epidemiological history, infant botulism was suspected, and contact was made with the local Health Department and a direct toxin analysis was requested from blood and fecal samples. She received treatment with human derived botulism antitoxin (BabyBIG®) with a favorable outcome. The diagnosis was confirmed by the detection of the botulism toxin B in the patient's stools. Comments: Infant botulism, although it is a rare disease in our environment, requires a high level of suspicion to make an early diagnosis and initiate a timely and specific treatment and thus reduce complications and the course of the disease.

Recent Advances in Aptamer-Based Biosensors for Bacterial Detection.

The rapid and sensitive detection of pathogenic bacteria is becoming increasingly important for the timely prevention of contamination and the treatment of infections. Biosensors based on nucleic acid aptamers, integrated with optical, electrochemical, and mass-sensitive analytical techniques, have garnered intense interest because of their versatility, cost-efficiency, and ability to exhibit high affinity and specificity in binding bacterial biomarkers, toxins, and whole cells. This review highlights the development of aptamers, their structural characterization, and the chemical modifications enabling optimized recognition properties and enhanced stability in complex biological matrices. Furthermore, recent examples of aptasensors for the detection of bacterial cells, biomarkers, and toxins are discussed. Finally, we explore the barriers to and discuss perspectives on the application of aptamer-based bacterial detection.

Fluorescent solid-state strips based on SiO2 shell-stabilized perovskite nanocrystals applying for magnetic aptasensing detection of aflatoxin B1 toxin in food

In this work, the perovskite fluorescent nanocrystals (CsPbBr3) were successfully synthesized and wrapped with SiO2 shell, utilized for the assembly of solid-state detection strip capable of conveniently and specifically detection of aflatoxin B1 (AFB1). The SiO2 coating aimed to enhance the stability of CsPbBr3 nanocrystals. The resulting CsPbBr3@SiO2 material exhibited remarkable fluorescence properties, and further self-assembled onto solid-state plate, generating AFB1-specific quenched fluorescence at a specific wavelength of 515 nm. When combined with the capture of AFB1 by magnetic nanoparticles conjugated with aptamers (MNPs-Apt), it was achieved the good separation and specific detection of AFB1 toxin in food matrices. The constructed fluorescent solid-state detection strip based on CsPbBr3@SiO2 exhibited good response to AFB1 toxin within a linear range of 0.1–100 ng mL−1 and an impressive detection limit as low as 0.053 ng mL−1. This presents a new strategy for the rapid screening and convenient detection of highly toxic AFB1.

Smartphone-integrated ratiometric sensing platform based on dual-emitting electrospun MOF@[Ru(byp)3]2+ nanofibers for effective detection and adsorption of aflatoxin B1

A portable, sensitive detector for the rapid detection of aflatoxin B1 (AFB1) without using biomass has been a research focal point. However, the previously documented methods were seldom applied for the simultaneous detection and elimination of AFB1 in food. In this work, the blue emission of a metal–organic framework (MOF) was selected as the fluorescence response signal, and the red fluorescence of [Ru(bpy)3]2+ was used as the reference signal. A dual-mode electrospun nanofibers ratiometric fluorescence probe (MOF@[Ru(bpy)3]2+/PAN NFs) was constructed for the first time for the quantitative detection and adsorption of AFB1. Due to the large surface area of the porous PAN NFs, these could transport MOF@Ru. AFB1 exposure led to noticeable color shift from red to blue through electron transfer. The good linear ranged of the probe for AFB1 detection of 0.0–40.0 μM and a low limit of detection of 3.05 ppb. Smartphone-integrated ratiometric sensing platform with a 5.51 ppb limit of detection was developed based on the fluorescent color change of electrospun film with AFB1. The probe was used to detect and adsorb AFB1 in peanut samples, and low relative standard deviation and satisfactory recovery rates were realized. Futher, by this speedy process, around 60 % of AFB1 could be eliminated within 30 min. Thus, the synergistic detection and removal of AFB1 is realized by using porous fluorescent MOF@Ru/PAN NFs. Moreover, the smartphone-based platform open new avenues for the on-site rapid visual quantitative detection and removal of toxins, and this is important for food security and environmental conservation applications.

Detection with NO Modification: (N═O)-Au Interactions for Instantaneous Label-Free Detection of N-Nitrosodiphenylamine.

Increasing concerns have been raised about dangerous, yet nearly undetectable levels of nitrosamines in foods, medications, and drinking water. Their ubiquitous presence and carcinogenicity necessitates a method of sensitive and selective detection of these potent toxins. While the detection of two major nitrosamines─N-nitrosodimethylamine and N-nitrosodiethylamine─has seen success, low detection limits are scarcer for the other members of this class. One member, N-nitrosodiphenylamine (NDPhA), has had little progress not only in its detection in low quantities but also in its detection at all. NDPhA has unique difficulty in its identification due to its aromaticity, making it far more problematic to distinguish in the common GC-MS or LC-MS/MS methods used for nitrosamine sensing. Despite this detection barrier, it has been listed among the top 6 carcinogenic nitrosamines by the Food and Drug Administration as of 2023. Due to its evasive nature, a unique methodology must be applied to facilitate its sensitive identification. Herein, we describe the use of surface-enhanced Raman spectroscopy for the first account of liquid-phase detection of NDPhA using cysteamine-functionalized gold nanostars and a portable Raman spectrometer. Our methodology requires no chemical modification to the nitrosated structure as well as the usage of two well-understood biocompatible materials: cysteamine and gold nanoparticles.

A study to assess the prevalence and risk factors for Clostridioides difficile infection in patients with inflammatory bowel disease in a tertiary care hospital in Northern India

Objectives: The prevalence of Clostridioides difficile infection (CDI) is on rise among patients with inflammatory bowel disease (IBD). This study sought to describe the prevalence and risk factors of CDI in patients with IBD as compared to non-IBD controls. Materials and Methods: This was a prospective study conducted at a Department of Microbiology in collaboration with a Department of Gastroenterology. The patients with IBD and controls without IBD presenting with diarrhea were included in the study. The screening test for C. difficile infection was done by glutamate dehydrogenase (GDH) assay and toxin detection by enzyme-linked immunoassay (ELISA). Anaerobic culture for C. difficile was done on a selective cycloserine cefoxitin fructose agar and polymerase chain reaction (PCR) was done for Toxin A (TcdA) and Toxin B (TcdB) gene detection. C. difficile infection was confirmed if GDH and toxin ELISA or PCR were positive. Statistical Analysis: Data were analyzed with the Statistical Package for the Social Sciences version 20.0.The numerical variables were presented by means and standard deviations. Comparison of continuous variables was done using Student’s t-test. Categorical variables were analyzed by Chi square test. P&lt;0.05 was considered to be statistically significant. Results: A total of 160 cases and 112 age- and gender-matched control were included in IBD group and nonIBD group, respectively. Only one culture was positive, 12 and six were positive for GDH ELISA and TcdA and TcdB ELISA, respectively, and 7 were positive by PCR for toxin genes. The factors found significantly associated with CDI were proton-pump inhibitors use (P = 0.001), levofloxacin (P =0.001), and azathioprine (P =0.042). Using PCR as a reference method for C. difficile toxin detection, the sensitivity, and specificity of GDH ELISA and ELISA for toxins were 100%, 96.8% and 85.7%, and 100%, respectively. Conclusions: The prevalence of CDI among patients with IBD has been found to be low, that is (only 4.4%) in this study population.