Wastewater-based surveillance of respiratory pathogens is challenging due to low target abundance and complex sample matrices. This study demonstrates that Nanotrap® Microbiome Particles can enhance native pathogen recovery and detection sensitivity from influent wastewater, enabling more comprehensive monitoring of respiratory disease circulation in communities. In This Experiment Recovery and sensitivity using the Nanotrap® Microbiome Workflows were evaluated relative to conventional precipitation and ultrafiltration methods. Four wastewater concentration methods were compared for detecting respiratory pathogens using the Truemark™ Respiratory Panel 2.0 on TaqMan™ Array Cards. TECH NOTE SKU 44XXX, 65XXX, 10113 Literature # WW-TN31482

Partner with Ceres to Elevate Your Discoveries Whether you’re building next-gen diagnostics, scaling surveillance, or running proteomics campaigns — Ceres is ready to help. Partner with us to accelerate your success. In this product portfolio brochure: Technology Overview Applications Where Nanotrap® Particle Technologies Drive Impact Infectious Disease Proteomics Liquid Biopsy Extracellular Vesicles DNA/RNA Extraction CeresNOW Technical Support BROCHURE Literature # GEN-BR31375

Nanotrap® Microbiome Particles are widely used in wastewater surveillance to capture and concentrate microbial pathogens, enhancing the sensitivity and reliability of pathogen detection. This approach enables effective monitoring of microbes, providing valuable insights for public health initiatives. Following the concentration step, efficient nucleic acid extraction is critical to ensure the recovery of high-quality RNA and DNA for downstream molecular applications. The MagMAX™ Wastewater Ultra Nucleic Acid Isolation Kit is an updated version of the MagMAX™ Microbiome Ultra Nucleic Acid Isolation Kit. The MagMAX Wastewater Ultra Nucleic Acid Isolation Kit protocol includes updates to reagent volumes, temperature conditions, and protocol steps, with key changes occurring in the binding and wash steps, completely removing Wash Step 3. The removal of Wash Step 3 results in time savings of approximately 5 minutes. The updated MagMAX protocol does not include reagents for bead beating. In this technical note, we show that the updated MagMAX Wastewater Ultra Nucleic Acid Isolation Kit protocol yields similar results to the MagMAX™ Microbiome Ultra Nucleic Acid Kit. TECH NOTE SKU 44XXX, 65XXX Literature # WW-TN31410

One of the challenges of working with cell-free DNA (cfDNA) is its small size. cfDNA fragments tend to be 167 bp or multiples thereof, and traditional bead-based DNA extraction methods are less efficient at capturing small-size DNA. Traditional DNA extraction methods have a lower fragment size cutoff of ~50 bp, and the yield is typically lower as the fragment size gets closer to 50 bp. This study will compare the recovery of different extraction methods in this size range and use transplant patient DNA as a case study, as DNA fragments from transplanted organs are typically smaller than standard cfDNA and within the 80-120 bp fragment size range.(1) When transplant patients receive a new organ, it must be monitored for organ health, and the standard of care is typically an organ biopsy. Several studies have looked at using cfDNA biomarkers to monitor the health of the transplanted organ since a blood draw is less invasive than a biopsy; healthy organs release less cfDNA than failing organs, and this can be measured by observing changes in the ratio of alleles at a site of genetic difference between the donor and host. Differentiation of host and donor DNA can also be difficult; several studies have shown single nucleotide polymorphisms (SNPs) that vary across populations and may provide a site for differences in host and donor genomes. We utilized PCR assays designed by Kokelj et al. (2021)(2) to evaluate the workflow's ability to capture and concentrate both spiked cfDNA and transplant patient cfDNA as proof of concept for the detection of these biomarkers from donor organ plasma. APP NOTE SKU 77XXX Literature # PL-AN31415

While eliminated in the United States, rubella virus remains an endemic threat in many countries globally, with five of six WHO regions establishing rubella elimination goals. Nanotrap® Microbiome A Particles offer an automated method for non-invasive surveillance of the virus, allowing health officials to access risk and further the goal of elimination within endemic areas. In This Experiment The Nanotrap Microbiome A Particles were evaluated for efficient capture of rubella virus spiked into 10 mL wastewater samples at a range of concentrations. TECH NOTE SKU 44XXX Literature # WW-TN31509

Article Link: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1675080/full#h1 Abstract: Foodborne enteric infections are a major public health and economical burden, yet their surveillance often relies on latent indicators that delay containment efforts by several days and weeks. Conversely, whole metagenome shotgun sequencing of communal wastewater allows continuous monitoring of enteric pathogens. Spikes in abundance can be observed several weeks before the first case reports emerge. In addition, AI-driven social media mining, already in use for public opinion analytics, could be repurposed for predicting outbreaks at the community level by predicting the number of people experiencing symptoms in the population given their social media activity. Here we report how AI-driven community analytics and high-throughput long-read metagenomic surveillance of communal wastewater microbiota were combined to monitor non-typhoidal salmonellosis in Quebec City, Canada, from August 2023 to February 2024. Both approaches indicated similar fluctuations over time for: (i) people experiencing salmonellosis symptoms, and (ii) Salmonella enterica relative abundance in wastewater, with predicted cases leading metagenomic peaks by a week. Moreover, both approaches detected a maximum around September 13th, 2023, 5 weeks before a Salmonella food recall for the Quebec and Ontario provinces was made by the Public Health Agency of Canada. We therefore suggest that continuous AI-driven analytics and wastewater metagenomics mo nitoring could become part of a nationwide surveillance pipeline from the community scale to the molecular level. Gauthier J, Mohammadi S, Kukavica-Ibrulj I, Boyle B, Landgraff C, Goodridge L, White K, Chapman B and Levesque RC (2025) Leveraging artificial intelligence community analytics and nanopore metagenomic surveillance to monitor early enteropathogen outbreaks. Front. Public Health 13:1675080. doi: 10.3389/fpubh.2025.1675080

Our team partners with labs at every stage—from concept to confidence—to help accelerate scientific impact. Inside, you’ll find an overview of how we support researchers with: Customized laboratory design Product selection guidance Method development and implementation training Workflow optimization to boost performance and reproducibility You’ll also meet our incredible Field Applications team, who bring deep expertise across proteomics, liquid biopsy, infectious disease, extracellular vesicles, and more. Lit # GEN-FL31507

Mosquito-borne and waterborne pathogens such as arboviruses and Vibrio cholerae pose ongoing challenges for environmental and public health monitoring. Individual clinical testing is resource-intensive, logistically complex, and often limited by healthcare access or participation, resulting in an underestimation of asymptomatic infections.¹ Effective surveillance is essential for timely detection, outbreak prevention, and public health response. Wastewater-based epidemiology (WBE) has emerged as a promising approach for monitoring infectious diseases at the population level, yet its application to vector-borne pathogens remains underexplored. We evaluated Nanotrap® Microbiome Particles, magnetic hydrogel nanoparticles previously validated for capturing viruses and bacteria in environmental water and clinical specimens, for the capture and concentration of arboviruses and Vibrio cholerae from environmental water. POSTER SKU 44XXX Literature # WW-PO31485

Increasing interest in multi-omics profiling implicitly requires solutions that enable the analysis of the same biological sample by diverse techniques. Nanotrap® Particles provide complementary chemistries to selectively capture low-abundance analytes while removing high-abundance interferents in multiple contexts. Nanotrap® Protein Enrichment Affinity Kit (PEAK) enhances proteome depth by enriching low-abundance proteins and reducing albumin levels. Nanotrap® Extraction Advanced Technology (NEAT) Liquid Biopsy Kit isolates and concentrates cfDNA while minimizing genomic DNA contamination. Nanotrap® Extracellular Vesicle Particles enable effective enrichment of vesicle-associated biomarkers. The full suite of Nanotrap® Particle technology offers a flexible platform adaptable to multiple application areas across proteomics, genomics, extracellular vesicles (EVs), and infectious disease research. POSTER SKU # 34XXX Lit. # PL-PO31484

Nanotrap® Protein Enrichment Affinity Kit (PEAK) utilizes magnetic hydrogel particles to capture and concentrate low-abundance proteins and peptides, significantly improving protein identification in LC-MS/MS workflows. To enhance reproducibility and throughput, we integrated the Nanotrap® PEAK workflow onto the open-deck Opentrons FLEX® Proteomics Workstation, enabling scalable sample preparation across biofluids such as plasma and serum. The FLEX Proteomics Workstation is a modular, high-throughput liquid-handling robot designed to automate complex workflows through interchangeable pipettes, grippers, and labware. Integrating Nanotrap PEAK with this system minimizes manual handling, increases throughput, and delivers reproducible protein enrichment for up to 96 samples per run. POSTER SKU # 34XXX Lit. # PL-PO31483

Wastewater testing can be used to monitor SARS-CoV-2 infections in communities. Data from PCR-based wastewater testing are usually available to public health authorities within 5–7 days after excreta and other body fluids enter the sewer. While PCR-based methods can accurately detect and quantify SARS-CoV-2, sequencing-based methods are usually required to distinguish between variants, delaying the results and adding cost to the process. We developed and assessed a novel, customizable digital PCR (dPCR)-based genotyping method for SARS-CoV-2 variant detection in wastewater, which is more cost-effective, faster, and more accessible than sequencing. This approach was applied to more than 1,400 wastewater samples collected from six states between April 2023 and May 2024, with results displayed on a public dashboard alongside clinical data from the same period. The wastewater dPCR-based method effectively detected emerging variants, mirroring trends observed in clinical settings and in data on the Global Initiative on Sharing All Influenza Data (GISAID) platform; this method also provided early warning signals, as variants like EG.5 and FL were identified in wastewater before clinical detection. A subset of the wastewater samples was analyzed using both dPCR genotyping and sequencing, with good agreement between the two methods. The range of concordance for four different variants was between 62% and 98%. The successful development and implementation of this dPCR-based genotyping for wastewater samples demonstrates its cost-effectiveness and scalability. With the decline in clinical testing, wastewater surveillance becomes increasingly vital for monitoring SARS-CoV-2 variants and supplementing clinical surveillance efforts. ARTICLE: SKU 44XXX Mosavi SMR, Acer P, Andersen P, Barbero R, Barksdale S, Bellakbira S, Bunde D, Dunlap R, Erickson J, Goldfarb D, Jones-Roe T, Kilroy M, Le H, Lepene B, Milich E, Mohamed A, Munns D, Obermeyer J, Patnaik A, Pricer G, Reven MT, Richardson D, Ruhunusiri C, Sahoo SK, Saunders LP, Swahn O, Vengurlekar K, White D, Davis-Turak J, Stanz A, Flores-Baffi AP, Lozach J, Wesselman T, Hilton S, Kashwala S, Liu P, Moe CL, Sablon O, Wang Y, Wolfe M, Antkiewicz D, Camarato E, Janssen K, Roguet A, Shrestha S, Wied R, Gillespie J, Huang J, Jones A, Kane S, Gonzalez DS, Jarju ML, Lin C, Pascual ME, Poretsky R, Secreto M, Bradley I, Gallo S, Ye Y, Donahue E, Greenwald SM, Owens S, Wilton R. 0. A 1-year study on SARS-CoV-2 variant shifts in wastewater using dPCR: comparison with clinical and GISAID data. mSystems 0:e00229-25. https://doi.org/10.1128/msystems.00229-25

In this study, we evaluated three commercial cfDNA isolation kits to gauge their effectiveness in enriching and isolating cfDNA for colorectal cancer (CRC) detection via epigenetic screening. Methylation-specific real-time polymerase chain reaction (MSP RT-PCR) and high-resolution melting (HRM) results were used to compare the Nanotrap® Extraction Advanced Technology Liquid Biopsy Kit (NEAT Kit) to two other commercial kits for cfDNA extraction. Mock cfDNA samples were created using 1) standard methylated DNA from the HCT116 DKO cell line and 2) extracted DNA originating from colorectal cancer solid tumor resections; DNA was mechanically sheared to mimic the fragment size distribution of ctDNA. APPLICATION NOTE SKU 77XXX Lit # TS-AN31472