Lonestar Disease Biomarker Detection

Lonestar VOC Analyzer

An easy to use analyzer for the detection of VOC biomarkers in clinical samples

  • Rapid, sensitive and selective VOC detection and quantification
  • Versatile disease biomarker analysis with wide-ranging applications
  • Cost-effective and easy to use for both clinicians and researchers


Disease Biomarker Detection with the Lonestar VOC Analyzer

Volatile organic compounds (VOCs) are the end product of metabolic processes in the body that are related to diseases. VOCs have been collected from various sample types including breath, blood urine and feces, they can also be collected from in vitro cell samples or ex vivo tissues.

Using Field Asymmetric Ion Mobility Spectrometry (FAIMS), the Lonestar VOC Analyzer can analyze VOCs to aid in the detection of disease biomarkers related to a range of illnesses including infections, inflammatory diseases and cancers. Our customers include GSK, Samsung, and the UK National Health Service, among many others. 

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  • Sensitive

    Parts per billion detection levels combined with inlet control for high dynamic range

  • Fast

    Ideal for rapid screening of samples

  • Adaptable

    Compatible with breath, urine, stool, blood, sweat, sputum and other VOC sources

  • Accessible

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

  • Focused

    Software-adjustable selective screening for target compounds

  • Responsive

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

  • Convenient

    Network and wireless connectivity for remote monitoring and operation

  • Collaborative

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

  • Versatile

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

View research studies that use Lonestar VOC Analyzer

View publications
Lonestar Disease Biomarker Detection

How it works

Versatile VOC Analysis

Lonestar is designed to accept samples from a range of inputs. For solid or liquid samples as well as in vitro or ex vivo VOC sources, VOCs can be collected via the ATLAS Headspace Sampler.

The FAIMS chip inside Lonestar separates and identifies VOCs by means of their relative ion mobilities. When using ATLAS, samples can be fed directly from ATLAS into Lonestar.

Learn about FAIMS technology
FAIMS Breath Spectrum

Data analysis

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

As a new FAIMS user, we can support you to develop your own effective sample and data analysis methodologies. The Lonestar VOC Analyzer uses an open data format, allowing users to also use off-the-shelf multi-variate analysis tools. Raw FAIMS spectra are multi-dimensional and extremely rich in information and a wide range of tools can be applied to their interpretation.

Example Breath Data with Disease and Control

A model (such as the OPLS-DA model, left) or classification algorithm is then developed and applied to the reduced data set to group samples into medically relevant categories. The form of the classifier depends upon the dataset, but random forest, sparse logistic regression and support vector machines have all been successfully deployed. These models require thorough independent validation before being put into widespread use.

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

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

Contact our team or view our support portal
Get in touch with the Owlstone Medical team
Photo of Lonestar VOC Analyzer


Lonestar VOC Analyzer 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 - %

  • Required Gas Supply

    Clean, dry air (there is an integrated, replaceable scrubber)

  • Max Heater Temperature


  • 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

  • Memory

    4gb internal

  • Comms

    USB, RJ45

  • Software

    Custom online control software

  • AC Inputs

    120/240V AC

  • Dimensions

    383 x 262 x 195 mm

  • Weight


Owlstone Lonestar product CTA

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

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