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  • ‹ Back to SmartChip Real-Time PCR System applications
  • Pathogen detection in human samples and food
    • Pathogen detection from UTI, STI and wound infections
    • High-throughput detection of SARS-CoV-2
  • Antibiotic resistance genes
  • mRNA, miRNA, and lncRNA as disease biomarkers
  • Genotyping using animal and blood samples
Overviews SmartChip system introduction
Home › Learning centers › Automation systems › SmartChip Real-Time PCR System introduction › SmartChip Real-Time PCR System applications › Pathogen detection in human samples and food

SmartChip Real-Time PCR System applications

  • Pathogen detection in human samples and food
    • Pathogen detection from UTI, STI and wound infections
    • High-throughput detection of SARS-CoV-2
  • Antibiotic resistance genes
    • Screening for antibiotic resistance genes in manure and sewage
    • Uncovering antibiotic resistance genes in soil, sediment, and sludge
    • Tracking down antibiotic resistance genes in hospitals
    • Identifying antibiotic resistance genes in water
  • mRNA, miRNA, and lncRNA as disease biomarkers
  • Genotyping using animal and blood samples
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Overviews SmartChip system introduction

Pathogen detection in patients and food

The ability to monitor and detect viral, bacterial, and fungal pathogens in a variety of samples, including human and agricultural, is critical. An ideal workflow would be able to rapidly profile a high number of targets in multiple samples with precision and reproducibility. As such, research into utilizing high-throughput qPCR has emerged as a potential improved methodology for pathogen detection.

One area where the SmartChip Real-Time PCR System has been utilized is for quick and accurate identification of microorganisms causing imbalance in Bacterial Vaginosis (BV). BV is of critical importance for women's health research laboratories, as BV affects over 21 million women in the United States annually. While the specific causes of BV are unknown, identifying microorganisms in samples can lead to a deeper understanding of the disease. We developed a panel that has been utilized by BV researchers to aid in these efforts. The BV panel contains three controls and identifies 19 different pathogens utilizing high-throughput qPCR analysis (Table I).

BV panel targets
Atopobium vaginae Mobiluncus curtisii
Bacteroides fragilis Mobiluncus mulieris
Candida albicans Mycoplasma genitalium
Candida glabrata Mycoplasma hominis
Candida krusei Neisseria gonorrhoeae
Candida parapsilosis Prevotella bivia
Candida tropicalis Trichomonas vaginalis
Chlamydia trachomatis Ureaplasma urealyticum
Gardnerella vaginalis Human albumin (control)
HSV1 RNaseP (control)
HSV2 Β-globulin (control)

Table I. The BV panel identifies 19 microorganisms covering bacterial, yeast, protozoan, fungal, and viral pathogens and includes three internal positive controls.

The power of using the BV panel on the SmartChip system is in the ability screen 144 samples across all 22 assays with just 30 minutes of hands-on time, in ~six hours of total run time. Utilizing the full SmartChip system's output, researchers can analyze up to 432 samples in a single day. Thus, the SmartChip system enables a simple, reproducible workflow that provides sensitive, specific, and accurate identification of microorganisms in a high-throughput platform that decreases the cost per sample.


Another research area that has utilized the SmartChip Real-Time PCR System's strengths is fungal detection in crops. A large majority of the crops grown as part of the food supply in North America (NA) are susceptible to various fungal diseases that can devastate production by lowering yield and grain quality. Fusarium head blight (FHB) is one such fungal disease that has been studied extensively with the SmartChip system. FHB can infect a wide variety of crops, including wheat, barley, corn, and oats. Despite being first identified in the late nineteenth century, FHB first started appearing in NA during the mid-twentieth century and has continued to slowly expand. FHB is typically spread via wind and planting of infected seeds following periods of heavy rainfall in affected areas. Thus, it is critical to accurately identify and monitor FHB in a large number of samples to determine where it is currently present and also prevent rapid expansion into other regions.

FHB is caused by four species of fungus: Fusarium graminearum, Fusarium culmorum, Fusarium avenaceum, and Fusarium crookwellense. In some cases, infection can be detected visually. However, visual inspection can be an inefficient and time-consuming method for monitoring FHB. Furthermore, FHB may not be visible until late stages of infectivity, a point at which it is too late to prevent the spread to other nearby crops. Thus, high-throughput qPCR is an amenable solution to rapid and sensitive detection of FHB in a large number of crop samples. The SmartChip system has specifically allowed the assaying of a wide range of fungal species in multiple samples to further increase throughput and speed up analysis for FHB research groups.

hands holding wheat


SmartChip Real-Time PCR System

Unlock answers with nanoscale PCR

Takara Bio's SmartChip ND Real-Time PCR System allows you to flexibly design your own panels, keep costs low, and obtain results in under 3 hr. Sample dispensing and reaction mix distribution is automated for up to 5,184 reactions per chip. Customizable configurations allow 12 to 384 assays to be processed at a time, depending on the number of targets in the panel. The system also simplifies your workflow with full end-to-end software to carry out automated dispensing and qPCR analysis.

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Takara Bio USA, Inc. provides kits, reagents, instruments, and services that help researchers explore questions about gene discovery, regulation, and function. As a member of the Takara Bio Group, Takara Bio USA is part of a company that holds a leadership position in the global market and is committed to improving the human condition through biotechnology. Our mission is to develop high-quality innovative tools and services to accelerate discovery.

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  • Viral detection with qPCR
  • SARS-CoV-2 pseudovirus
  • Human ACE2 stable cell line
  • Viral RNA isolation
  • Viral and host sequencing
  • Vaccine development
  • CRISPR screening
  • Drug discovery
  • Immune profiling
  • Publications
  • Next-generation sequencing
  • Spatial omics
  • RNA-seq
  • DNA-seq
  • Single-cell NGS automation
  • Reproductive health
  • Bioinformatics tools
  • Immune profiling
  • Real-time PCR
  • Great value master mixes
  • Signature enzymes
  • High-throughput real-time PCR solutions
  • Detection assays
  • References, standards, and buffers
  • Stem cell research
  • Media, differentiation kits, and matrices
  • Stem cells and stem cell-derived cells
  • mRNA and cDNA synthesis
  • In vitro transcription
  • cDNA synthesis kits
  • Reverse transcriptases
  • RACE kits
  • Purified cDNA & genomic DNA
  • Purified total RNA and mRNA
  • PCR
  • Most popular polymerases
  • High-yield PCR
  • High-fidelity PCR
  • GC rich PCR
  • PCR master mixes
  • Cloning
  • In-Fusion seamless cloning
  • Competent cells
  • Ligation kits
  • Restriction enzymes
  • Nucleic acid purification
  • Automated platforms
  • Plasmid purification kits
  • Genomic DNA purification kits
  • DNA cleanup kits
  • RNA purification kits
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  • Viral transduction
  • Fluorescent proteins
  • T-cell transduction and culture
  • Tet-inducible expression systems
  • Transfection reagents
  • Cell biology assays
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  • Detection methods
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  • SARS-CoV-2
  • Antibiotic-resistant bacteria
  • Food crop pathogens
  • Waterborne disease outbreaks
  • Viral-induced cancer
  • Immunotherapy research
  • T-cell therapy
  • Antibody therapeutics
  • T-cell receptor profiling
  • TBI initiatives in cancer therapy
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  • Kickstart your cancer research with long-read sequencing
  • Sample prep from FFPE tissue
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  • Cancer biomarker quantification
  • Single cancer cell analysis
  • Cancer transcriptome analysis
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  • HLA typing in cancer
  • Gene editing for cancer therapy/drug discovery
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