Discover the Preemie sensor and our portfolio of applications

Preemie is the first product ecosystem to help neonatal professionals analyse human milk, personalise its fortification, and track the nutritional intake of preterm infants, thereby reducing the risks associated with prematurity.

Below please find the Preemie products and accessories we are selling. Please note that Preemie Sensor has not yet received the IVD medical certification, however it can be sold for research purposes only. Just send us an online request and we will be pleased to answer any questions and give you a quote.

Preemie Sensor is an NIR-spectrometer calibrated with human milk and designed to analyse the milk for its nutritional value (Total Fat, Total Protein, and Total Energy).

Preemie Sensor “for research purposes only” is currently available for sale, this sensor is not sold with human milk calibrations. We expect to have a medical IVD approval for the EU and the USA by late 2024, at that stage you will be able to order Preemie Sensor, calibrated with human milk and for medical use.

Preemie Sensor “for research purposes only”  is designed to work with SpecDataTM software described below and requires either an Android or an iOS device (tablet or smartphone) to run the SpecData application.
  • Unit size: 48x73x125 mm
  • Transmissive near-infrared spectroscopy;
  • Spectral range: 1350 to 2150 nm;
  • Battery powered;
  • Bluetooth connectivity to enable communication with portable devices;
  • Micro-USB connection is used for charging;
  • Works with the Preemie Fortification and the Preemie Milk Quality softwares.

For Research Purposes
This option is currently available

Certified Medical Device
Currently this option is not available
Undergoing medical certification for EU, UK, Canada and USA

This Package Includes:

  • Preemie Sensor;
  • A micro-USB charger, used for charging the sensor’s battery;
  • SpecData software to operate the sensor.

This Package Includes:

  • Preemie Sensor;
  • Preemie Milk Quality application, to operate the sensor;
  • NurvetteTM, a cuvette and holder design specifically for testing small volumes of milk;
  • A micro-USB charger, used for charging the sensor’s battery;
  • Android tablet;
  • One micropipette to transport a measured volume of human milk;
  • Several tips for the micropipette;
  • Cuvette cleaning cloth.

The NurvetteTM – is a special demountable patented cuvette that simplifies the process of scanning and ensures that the operator handles the cuvette and sample carefully, reducing the risks of breaking the cuvette glass, dropping the sample, and the risk of forming bubbles in the sample. The actual inside of this cuvette, consisting of two removable quartz “slides”. One is plain (except for a ‘UV’ inscription) and the other with a 0.1 mm deep sample well;

  • Size: 6 cm x 2 cm x 1 cm
  • Inside holder and two removable quartz cuvette windows
  • Cuvette window with well holds ca. 35 µL

The Milk Analysis software is designed to only work on an Android tablet and with Preemie Sensor to test human milk composition at neonatal units or human milk banks.

  • Analysis of the composition of human milk;
  • Parameters measured: Total Protein, Total Lipids, Total Energy;
  • More parameters will be added to this list in the future;
  • Reports on the milk analysis results can be exported, saved, or printed;
  • Complaint with GDPR and HIPAA.

Parameters that Preemie Sensor and the Milk Analysis software display:

Protein (grams/100 mL)
Protein is the value contributing the most to the infant’s growth.

Total Lipids (grams/100 mL)
Fat is crucial for the development of the infant’s neurological system.

Energy (kcal/100 mL)
Calculated from other parameters, caloric intake is key for infant development.

This software is designed to work with or without Preemie Sensor and is used to calculate the recommended personalised fortification of the human milk being used for feeding a specific preterm infant, and to track the infant’s nutritional intake and correlate it with the infant’s growth. This software also displays growth-restriction risk scores so as to support data-driven decisions on the best feeding strategy.

  • Calculations of milk fortification based on a data-driven approach;
  • Comprehensive management of the infant’s nutritional intake overtime;
  • Correlation of the infant’s nutritional intake with growth indicators such as weight, length, and head circumference;
  • Real-time clinical decision support tool for preterm feeding;
  • Provides AI-generated risk scores for conditions affected by nutrition;
  • Customization of fortification guidelines and of fortifiers used;
  • Enter, save, and print data about infant growth and nutrition;
  • Compliant with GDPR and HIPAA.

This module of the NutriNTrack software is designed to work with or without Preemie Sensor and to be used to manage donors and to optimise the pooling process for getting tailored pooled milk.

  • Comprehensive management of the donor milk received;
  • Stores key data about the donor milk encompassing all the key steps, from reception to storage, up to processing and delivery;
  • Automatic optimization of pooled milk in order to produce a tailored pool of milk with specific nutritional content;
  • Generation of nutritional labels for both donor and pooled human milk storage containers;
  • Prints history data and nutritional content for each donor and milk bag;
  • Compliant with GDPR and HIPAA.

The SpecData™ system uses Preemie Sensor™ and is designed for research purposes. It allows the collection of data that is used later in developing calibration models.

The SpecData™ system has two parts, one that runs on the desktop and is used by the administrator (SpecData desktop app) and the other which runs on mobile devices for use by a team of workers (SpecData mobile app).

The SpecData desktop app is used to set up a project, allocate access to team workers, track work done, and plan work to be done.

The SpecData mobile app has several purposes:

  • To collect spectra of material samples along with the label data obtained from laboratory analysis of those samples;
  • To make the data collected available to create chemometric or machine learning models for predicting label data from new spectra;
  • Once those models are built and reside in Tellspec’s cloud, to scan new samples, not previously seen, and obtain results for the label data of those samples, in order to test the models.

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