Lonestar VOC Analyzer

A non-invasive, easy to use analyzer for the detection of disease biomarkers in clinical samples

  • Rapid, sensitive and selective VOC analyzer
  • Untargeted discovery and targeted analysis of disease biomarkers
  • Cost-effective and easy to use for both clinicians and researchers
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Overview

Lonestar Disease Biomarker Detection

Volatile organic compounds (VOCs) are the end product of metabolic processes in the body that are related to diseases such as colon cancer, coeliac disease and tuberculosis. Using FAIMS technology, Lonestar can analyse clinical samples including urine, stool, blood, sweat and breath for the detection of disease biomarkers related to infections, inflammatory diseases and cancers. Lonestar is a portable, self contained unit that can provide rapid and detailed sample analysis, making it ideal for use by researchers and clinicians. Our customers include GSK, Samsung, NHS among many others.

 

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  • Highly sensitive

    High sensitivity with part per billion detection levels combined with inlet control for high dynamic range

  • Rapid screening

    Ideal for rapid screening of samples for diagnosis

  • Highly versatile

    Compatible with various clinical samples - breath, urine, stool, blood, sweat, sputum

  • Cost-effective

    Cost-effective and easy to use for both clinicians and researchers

  • Targeted Analysis

    Selective screening for target compounds

  • Sensors guided stability

    Integrated temperature, flow and humidity sensors for stable, closed-loop operation

  • Connectivity

    Network and wireless* connectivity for remote monitoring and operation

  • Easy integration

    Easy integration of other sensor data and control of third party systems

  • Powerful software

    Powerful custom software for data visualisation, real-time control and offline analysis

Have a question about how to use the Lonestar VOC Analyzer in your own research?

Contact our team or view our support portal

How it works

Detecting early signs of disease through unique chemical fingerprints

Different diseases have unique chemical fingerprints that can be detected by the analysis of gas-phase volatile organic compounds (VOCs) produced by clinical samples such as urine, stool, blood, saliva, sweat. Disease related VOCs are also present in and detectable in exhaled breath. The detection of these specific disease biomarkers can provide early diagnosis of cancers, infections and easy monitoring of chronic inflammatory conditions.

Learn about FAIMS technology
  • 100.00 s
    of VOCs are present on our breath every time we breathe
  • 4.00 years
    earlier diagnosis of cancer becomes a reality
  • 1000.00 x
    Owlstone's FAIMS is considerably smaller than existing technologies
  • 20000.00
    lives that the LuCID project aims to save by 2020

We have worked with a number of eNose platforms for medical breath research and we have found Owlstone’s FAIMS technology and Lonestar instrument to provide very good accuracy.

Professor Peter Sterk
University of Amsterdam

We have been using FAIMS for almost five years and have found it able to non-invasively detect a broad range of diseases, including cancer, with high sensitivity and specificity

Professor James Covington
University of Warwick

Research case studies

Lonestar's real-world applications

Research teams around the world have already discovered the unique potential of FAIMS. Published studies cover the spectrum from cancer (bowel/colorectal) to inflammatory diseases (such as IBD and Celiac disease) to infectious diseases (C. difficile).

Multiple studies have proven the effectiveness of Lonestar's powerful, data-rich output

View all publications or view all our resources

Data analysis

Open data format and off the shelf multi-variate analysis tools

Owlstone Medical work with new FAIMS users to develop sample and data analysis methodologies. Lonestar uses an open data format, allowing users to also use off the shelf multi-variate analysis tools. Raw FAIMS spectra are produced by Lonestar from the analysis of clinical samples. The plots to the right are FAIMS spectra collected for human a) stool b) urine and c) breath. FAIMS spectra are multi-dimensional and extremely rich in information, so typically techniques such as discrete wavelet transforms or principal component analysis are required to detect the distinguishing features of those patients suffering from specific illnesses vs. spectra from healthy individuals.

A classification algorithm is then developed and applied to the reduced data set. This algorithm tests relevant features of the data, and assigns each sample to the disease or disease-free category. The form of the classifier depends upon the data-set, but random forest, sparse logistic regression and support vector machines have all been successfully deployed. The classifier is then ideally tested on a new set of samples, to externally validate the sensitivity and specificity.

Colorectal cancer detection with Lonestar

Read about the applications of FAIMS in medical diagnostics

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Photo of Lonestar VOC Analyzer

Specs

Lonestar Technical Specifications

  • Technology

    Field Asymmetric Ion Mobility Spectrometry

  • Detection Mode

    Positive and negative ions

  • Sample Input

    Ambient, Headspace

  • Inlet / Outlet

    1/8 Swagelok compression fittings

  • Analyte Range

    Volatile Organic Compounds

  • Dynamic Range

    User adjustable inlet dilution for ppb - %

  • Instrumental Air

    Integrated and easy to replace

  • Max Heater Temperature

    70C

  • Humidity Range

    0% - 95%

  • Instrument Sensors

    Temperature, humidity, flow and pressure

  • Inputs

    Inbuilt tracker ball

  • Output

    Real-time chemical spectra and stored data

  • Computer

    Inbuilt PC running Windows XP

  • Memory

    4gb internal

  • Comms

    USB, RJ45

  • Software

    Custom online control software

  • AC Inputs

    120/240V AC

  • Dimensions

    383 x 262 x 195 mm

  • Weight

    7.8kg

Get in touch with the Owlstone team for further information and pricing

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