WE ARE

Valenveras is a company specialized in the field of biotechnology. It has a professional team in different areas with high capacities in sectors such as technology, biology or agronomy among others.

Valenveras was born with the ambition to provide technological and innovative answers to the agri-food and medicinal sector, providing tools that can be implemented in all production processes, from field production to industrial processing, including quality control and traceability.

WE DO

Valenveras’ mission is focused on the analysis and understanding of the different production systems within agri-food and medicinal crops in order to provide quick and efficient solutions to the needs of the sector through technical advice and the implementation of technology.

We are committed to technological innovation while respecting the environment for the development of knowledge that will result in a new sustainable industrial revolution.

WE OFFER

Thanks to the union between CTAEX, Bhalutek and Valenveras, we have developed an NIR model to analyse cannabinoids in Cannabis sativa L. flowers.

We offer a fast, economical, robust and environmentally friendly method based on NIR technology that allows the quantification of the main cannabinoids and terpens.

Apart from drying and homogenisation of the sample, no preparation, consumables, laboratories, chemicals, maintenance and qualified personnel are required.

In only 30 seconds, 6.330 readings can be performed on the same sample, allowing the quantification of cannabinoids (THC, THCa, CBD, CBDa, CBG) with a cross-validation coefficient of determination (R²CV of 0.95) with standard error of prediction values, comparable to the precision of a standard laboratory analysis.

The reference method by which this model has been developed is based on the following certificates

Certificate of Testing and Calibration Laboratorie

according to standard UNE-EN ISO/IEC 17025 Certified y AENOR.

Certificate of conformity of the Quality System

according to UNE EN-ISO 9001:2015 .Nº ER-0457/2010 Certified by AENOR

Certificate of conformity of the R&D&I Management System

according to UNE 166002:2014 standard. Nº IDI-0017/2009 Certified by AENOR.

WHAT’S NIR

“Near-infrared reflectance (NIR) spectroscopy is a nondestructive analytical technique used to measure the chemical composition of a sample. This technique is based on the absorption of light in the near infrared region by the chemical bonds of molecules present in the sample.

NIR spectroscopy is used in a wide variety of applications, from agriculture to the pharmaceutical industry. In agriculture, it is used to measure crop quality, moisture and nutrient content in soil. In the pharmaceutical industry, it is used to monitor the quality of drugs and to identify and quantify the components of formulations.

NIR spectroscopy is a fast, non-destructive technique that allows the measurement of multiple components in a sample in a matter of seconds. In addition, it is a non-invasive technique that does not require sample preparation, making it ideal for the analysis of delicate or expensive samples.

In summary, NIR spectroscopy is a powerful and versatile analytical technique used in a wide variety of applications. Its ability to measure multiple components in a sample in a matter of seconds makes it a valuable tool for research and quality control in a wide variety of industries.

Valenveras & NeoSpectra by Si-Ware, best team ever

The joint venture between Neospectra and Valenveras represents an important milestone in the cannabis industry, as it facilitates the adoption of advanced technologies for analysis and quality control in a rapidly growing market. With the growing demand for cannabis products for medicinal and recreational use, it is critical to have reliable and accurate tools that enable a better understanding of the chemical composition of the plant and ultimately improve the end-user experience.

Si-Ware Systems and Valenveras Announce Collaboration to Revolutionize Cannabinoid and Terpene Analysis in the Cannabis Industry

Si-Ware Systems, the renowned semiconductor and systems technology company behind the Neospectra infrared spectrometer product line, has recently announced a strategic collaboration with Valenveras, an innovator in terpene and cannabinoid analysis. This alliance aims to combine Si-Ware’s hardware expertise with the readout model developed by Valenveras to improve accuracy and efficiency in the measurement of chemical compounds in the cannabis plant.

The union between Neospectra and Valenveras promises to optimize production and ensure the quality and safety of cannabis products through NIR technology.

The collaboration between Neospectra and Valenveras promises to revolutionize the cannabinoid and terpene analysis market by offering an integrated and highly accurate solution for the cannabis industry. Neospectra’s near infrared spectroscopy (NIR) technology, combined with Valenveras’ readout model, will enable producers, researchers and regulators to more effectively analyze cannabinoid and terpene levels in real time, thereby optimizing production processes and ensuring the quality and safety of the final product.

Near Infrared Spectroscopy (NIR) technology reduces costs and analysis times compared to other techniques, democratizing access to quality control in the cannabis market.

The adoption of near infrared spectroscopy (NIR) technology in the Neospectra-Valenveras collaboration also has a significant impact on the cost/analysis ratio compared to other cannabis analysis techniques, such as high performance liquid chromatography (HPLC) and gas chromatography coupled to mass spectrometry (GC-MS). NIR spectroscopy offers advantages such as shorter analysis time, lower cost per sample and the ability to perform real-time measurements without the need for a specialized laboratory. These features make NIR technology more accessible and cost-effective for a broad spectrum of players in the cannabis industry, enabling greater adoption of quality control practices and a better understanding of the chemical profiles of cannabis plants.