New Sensor Chip Shows Promise for Rapid, Low-Cost POC Disease Diagnostics
|
By LabMedica International staff writers Posted on 27 Jun 2023 |

The Loop-Mediated Isothermal Amplification (LAMP) technique is a popular method for identifying pathogens by amplifying their DNA. The detection of LAMP-amplified products, such as the DNA of pathogens, typically requires the use of fluorescent dyes to "label" these products, which can be expensive and have low sensitivity. Now, researchers have designed a new sensor capable of diagnosing pathogens without the need for these reagents and with a high degree of sensitivity. This new development also eliminates the time-consuming process of DNA purification, which often poses challenges for point-of-care applications.
Scientists at Texas A&M AgriLife Research (College Station, TX, USA) in collaboration with Iowa State University (Ames, IA, USA) have developed a sensor chip capable of identifying numerous disease-causing pathogens with ten times the sensitivity of existing techniques. The sensor chip eliminates the need for chemical dye reagents typically employed in diagnostics. The innovative chip consists of a nanopore thin-film sensor housed within a unique reaction chamber. Uniquely designed primers are immobilized on the nanofilm, causing the amplified LAMP products to bind to the sensor. The resulting signals can then be directly and easily measured using a portable spectrometer. The sensor delivers results within approximately 30 minutes. This new technology holds the promise of rapid, inexpensive point-of-care diagnostics in various sectors, including plants, food, animals, and human health, including the detection of foodborne pathogens, bird flu, and COVID-19.
In their study, the researchers used the innovative sensor to identify Phytophthora infestans, a pathogen that causes the highly destructive late blight disease, posing a significant threat to potato and tomato crops worldwide. The LAMP chip offers a new portable platform for pathogen detection, employing label-free sensors with exceptional sensitivity. The research team will now focus on increasing its sensitivity to the subattomolar levels or even lower. They aim to overcome the existing challenges in identifying and differentiating pathogen species and strains that share high sequence similarities. The team also plans to improve detection specificity and implement quantitative detection by integrating artificial intelligence and CRISPR gene-editing technologies. Their goal is to develop a feasible product for wide-ranging use in plant, animal, and human health point-of-care applications.
“This research advances technologies that have emerged as some of our greatest opportunities for improving agriculture, food safety and human health,” said Junqi Song, Ph.D., associate professor and plant immunity research lead with AgriLife Research. “Our publication represents a step toward realizing these powerful tools against diseases.”
Related Links:
Texas A&M AgriLife Research
Iowa State University
Latest Technology News
- Point-of-Care Testing Enhances Health Literacy and Self-Management in Chronic Disease
- Fully Automated Sample-to-Insight Workflow Advances Latent TB Testing
- Tumor-on-a-Chip Platform Models Pancreatic Cancer Treatment Response
- New Platform Captures Extracellular Vesicles for Early Cancer Detection
- Microfluidic Single-Cell Assay Predicts Breast Cancer Risk
- AI Tool Predicts Non-Response to Targeted Therapy in Colorectal Cancer
- Integrated System Streamlines Pre-Analytical Workflow for Molecular Testing
- Noninvasive Sputum Test Detects Early Lung Cancer
- New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
- Rapid Biosensor Detects Drug Sensitivity in Breast Tumors
- Breakthrough Mass Spectrometry Design Could Enable Ultra-Low Abundance Detection
- Online Tool Supports Family Screening for Inherited Cancer Risk
- Portable Breath Sensor Detects Pneumonia Biomarkers in Minutes
- New Electronic Pipette Enhances Workflows with Touchscreen Control
- AI Model Outperforms Clinicians in Rare Disease Detection
- AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
Channels
Clinical Chemistry
view channel
Urine-Based Nanosensor Tracks Lung Cancer and Fibrosis Noninvasively
Lung cancer remains difficult to monitor for early progression and treatment resistance, while pulmonary fibrosis continues to pose major challenges for early diagnosis. Clinicians need repeatable, noninvasive... Read more
Blood-Based Alzheimer’s Test Gains CE Mark for Amyloid Pathology Detection
Alzheimer’s disease is the most common cause of dementia, yet confirmatory testing remains invasive and hard to access. Diagnosis currently takes an average of 3.5 years, and about 75% of people with dementia... Read moreHematology
view channel
Stem Cell Biomarkers May Guide Precision Treatment in Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is an aggressive blood cancer that most often affects older adults and still carries a poor prognosis despite therapeutic advances. Venetoclax-based regimens have improved... Read more
Advanced CBC-Derived Indices Integrated into Hematology Platforms
Diatron, a STRATEC brand, has introduced six advanced hematological indices on its Aquila, Aquarius 3, and Abacus 5 hematology analyzers. The new Research Use Only (RUO) indices include Neutrophil-to-Lymphocyte... Read moreImmunology
view channel
Routine TB Screening Test May Reveal Immune Aging and Mortality Risk
Immune aging is associated with weaker responses to vaccination, greater risks of infection, and higher levels of inflammation. Leveraging routinely ordered laboratory tests to quantify that responsiveness... Read more
Biomarkers and Molecular Testing Advance Precision Allergy Care
Allergic diseases often present with similar symptoms but can be driven by distinct biological mechanisms, making standardized care inefficient for many patients. Historically, individuals with pollen... Read moreMicrobiology
view channel
Large-Scale Genomic Surveillance Tracks Resistant Bacteria Across European Hospitals
Antimicrobial resistance (AMR) poses a growing threat to patient safety, with carbapenem-resistant Enterobacterales causing difficult-to-treat infections and leaving clinicians with limited therapeutic options.... Read more
Molecular Urine and Stool Tests Do Not Improve Early TB Treatment in Hospitalized HIV Patients
Tuberculosis is the leading cause of death among people living with HIV, and diagnosis in hospital settings remains difficult. Symptoms are often non-specific, disease can be extrapulmonary, and many patients... Read morePathology
view channel
FDA Clears AI Digital Pathology Tool for Breast Cancer Risk Stratification
Risk assessment at diagnosis is central to guiding therapy for early-stage, hormone receptor-positive, human epidermal growth factor receptor 2-negative (HR+/HER2-) invasive breast cancer, where overtreatment... Read more
New AI Tool Reveals Hidden Genetic Signals in Routine H&E Slides
Pathologists worldwide rely on hematoxylin and eosin (H&E) slides to examine tissue architecture, yet these stains do not reveal the underlying molecular activity that often drives disease.... Read moreTechnology
view channel
Point-of-Care Testing Enhances Health Literacy and Self-Management in Chronic Disease
Limited access to general practitioners and pathology services can delay diagnosis and monitoring for people in regional and remote communities. Rapid, on-the-spot testing can shorten turnaround times... Read more
Fully Automated Sample-to-Insight Workflow Advances Latent TB Testing
Latent tuberculosis remains a substantial testing workload for clinical laboratories as screening programs expand. Despite this growth, only about 40% of testing has shifted from traditional skin tests... Read moreIndustry
view channel
Partnership Aims to Bring Risk-Guided CKD Care to Health Systems
Chronic kidney disease (CKD) places a substantial clinical and financial burden on the United States. As health systems face growing pressure to detect risk earlier and manage progression proactively,... Read more








