University: University of the Basque Country - Euskal Herriko Unibertsitatea
Description: IBeA's activities are grouped around four areas:
- Territory (Climate Change, Circular Economy and Food Safety)
- One Health (Human and Environmental Health)
- Cultural Heritage (Diagnosis and Rehabilitation, New Materials)
- Study of extraterrestrial materials (Mars operations, Mars2020 and Rosalind Franklin)
Group:EMIDEKA - Microbiology, Digital Imaging and Chemometrics Applied to Food
University: University of the Basque Country - Euskal Herriko Unibertsitatea
Description: EMIDeKa is a newly formed multidisciplinary group resulting from the collaboration between professors María Teresa Dueñas and Miren Ostra. It focuses on developing analytical methods for detecting and quantifying riboflavin and its derivatives produced by lactic acid bacteria (LAB) with applied potential. The groups IDeKA (Digital Imaging and Applied Chemometrics), accredited as a research group by UPV/EHU, and MyQA (Microbiology and Food Chemistry), accredited by UPV/EHU and EJ/GV, combine efforts to advance existing research lines and develop new ones, such as identifying bioactive microbial compounds.
The first block of research focuses on the identification and quantification of bacterial and fungal compounds with biological activity and potential application, and on understanding the mechanisms fungi and bacteria use to regulate synthesis and secretion throughout their life cycles.
The second block focuses on developing image-based analytical methods for all kinds of samples, as well as applying chemometrics to other signal types (spectroscopic and image).
Group:Chemometrics, Metrology and Qualimetrics in the framework of food analytical chemistry (CMQ-Food)
University: University of Granada
Description: The CMQ-Food research line is focused on the following actions: (i) ensuring food quality developing 'green' analytical methods, (ii) applying alternative machine learning methods to extract relevant information from food instrumental fingerprints to enable unambiguous characterization, and (iii) developing methodology to 'agnostize' conventional 1D spectroscopic and chromatographic signals, expanding them to higher dimensions. These objectives guide multidisciplinary studies and the development of innovative tools based on combining analytical platforms and data mining techniques.
Group:ChemoSens - Chemometrics and Sensorics for Analytical Solutions
University: Universitat Rovira i Virgili
Description: CHEMOSENS was created through the merger of the QUIMIO and iSens groups, consolidating previous collaborations in research and knowledge transfer. Its mission is to prepare society for technological change through the convergence of disciplines. The group combines analytical instrumentation, chemical sensors, mobile connectivity, and data analysis algorithms to tackle challenges in the digital era. It is structured in two areas: "hardware" (instrumentation/sensors) and "software" (chemometrics), focusing on agri-food quality control, health, and petrochemistry. CHEMOSENS is committed to excellence and actively collaborates with external agents in its research.
Description: QANAP focuses its activities on developing analytical methodologies in industrial, environmental, and agri-food sectors. Specifically, it works on characterizing and monitoring priority, persistent, and emerging contaminants—both organic and inorganic—in samples of environmental interest. Current projects include national and international efforts related to micro- and nanoplastics. The group also conducts chemometric modeling (data analysis from environmental and multivariable process control studies) and collaborates with companies in implementing quality management systems.
Description: Our research group specializes in the theoretical development of chemometric methods, particularly multivariate resolution. Our application areas include food analysis, industrial processes, hyperspectral imaging, and studies of nucleic acid and protein solution equilibria. Through a multidisciplinary approach, we combine analytical chemistry, biophysics, photonics, and data analysis to deepen our understanding of complex systems, contributing to scientific advancement and human well-being.
Quimiometría y Cualimetría, Q&C - Universidad de Burgos +
Group:Quimiometría y Cualimetría, Q&C
University: Universidad de Burgos
Description: Consolidated, cross-disciplinary group composed of professionals in Statistics, Operations Research, and Analytical Chemistry, focusing its research on developing, validating, and implementing models capable of turning data into information, information into knowledge, and knowledge into decision-making capability. Specifically, the group’s research focuses on:
- Design and selection of optimal experimental procedures in the laboratory and in Process Analytical Technology (PAT).
- Construction of predictive models based on multivariate and/or multiway techniques.
- Search for optimal solutions for multiple conflicting responses.
- Inversion of models in latent variables.
Description: The Nanoengineering Group focuses on research at the interface between fundamental nanoscience and applied engineering. By combining nanotechnology and photonic approaches with biomedical engineering and multi-parametric data analysis (machine learning, deep learning), we bridge the gap between physical sciences and industrial and clinical applications to ultimately gain added value to novel methods, devices, and instrumentation. Current research lines:
- Medical Photonics: early detection of Alzheimer's, detection of lung cancer, cell culture monitoring, perinatal risk monitoring.
- Environmental Research: water remediation, nanoplastics, atmospheric pollution.
- Plasmonics: bound states in the continuum, biosensing.
Signal and Information Processing for Sensing Systems - Institute for Bioengineering of Catalonia +
Group:Signal and Information Processing for Sensing Systems
Center: Institute for Bioengineering of Catalonia
Description: Current smart instrumentation using multi-sensors and spectrometers provides a wealth of data that requires sophisticated signal and data processing approaches to uncover hidden information. Our group develops algorithmic solutions for the automatic processing of Gas Sensor Array, Gas Chromatography – Ion Mobility Spectrometry (IMS), Nuclear Magnetic Resonance data for metabolomics, food, and environmental samples.
More specifically, we are interested in intelligent chemical instruments for detecting gases, volatile compounds, and odors.
These systems can be based on an array of nonspecific chemical sensors with a pattern recognition engine, inspired by the olfactory system.
Some spectrometries, such as Ion Mobility Spectrometry, can provide very fast analysis with good detection limits but limited selectivity.
These technologies have been proposed for quickly determining the volatolome (volatile fraction of the metabolome), instead of the traditional method of gas chromatography–mass spectrometry.
Center: Centro Nacional de Tecnología y Seguridad Alimentaria
Description: Our group is dedicated to the development of applications based on imaging systems and spectroscopy to help companies in the agri-food sector improve the management and classification of their raw materials, in-process control, and final product quality.
Our objective is to bring new technologies and digitalization to the food sector, enhancing its efficiency and competitiveness.
Mecatrónica Agraria - Universidad Pública de Navarra +
Grupo:Mecatrónica Agraria
Centro: Universidad Pública de Navarra
Description: The Agrarian Mechatronics research group has five well-defined research lines and also has specialized infrastructures that facilitate both basic research and technology transfer.
Research is organized into five main lines:
1. Sustainable mechanization and precision agriculture;
2. Testing, standardization, and safety in agricultural machinery;
3. Quality of agri-food products through the use of visible and near-infrared spectroscopy techniques and hyperspectral imaging;
4. Use of sensors and automation in the agri-food industry;
5. Occupational risk prevention in the agricultural sector.
Description: The Multivariate Statistical Engineering Group (GIEM) was established in 2004 with the aim of providing the scientific community and the business sector with a working environment for developing research in the field of multivariate statistical techniques applied to the understanding and improvement of process quality and productivity.
We carry out R&D&I in various fields, including Process Chemometrics, Omics Sciences, Process Analytical Technology, Functional Data Analysis, Medical Image Analysis, Six Sigma, and Cultural Heritage Conservation, among others.
Description: At SPECML, we work at the intersection of vibrational spectroscopy, mass spectrometry, machine learning, and clinical translation, developing methodologies for the analysis of biofluids, tissues, and data simulation.
We apply rigorous validation strategies, experimental design, and critical model evaluation to generate robust, interpretable, and chemically coherent predictive tools, grounded in a solid foundation of analytical chemistry.
We collaborate with teams in biomedicine, physics, and chemical synthesis to address challenges such as kidney disease and oxidative stress, with a translational perspective from the hospital environment to point-of-care applications. In addition, we promote educational innovation in data analysis and machine learning in analytical chemistry.
Quality and authentication of agricultural products Unit - Walloon Agricultural Research Centre +
Group:Quality and authentication of agricultural products Unit
Center: Walloon Agricultural Research Centre
Description: To implement and validate various operations with the aim of being a dynamic, innovative, and sustainable research actor committed to the quality and authentication of agricultural and agri-food products.
The unit also seeks to strengthen the Walloon agri-food sectors by improving the quality, traceability, and typicity of their products, with a particular focus on short supply chain products and the organic sector.
Description: We develop technological actions and solutions for food production, with the aim of promoting the implementation of the Industry 4.0 concept in the food supply chain.
Specifically, we work along three main lines:
- Advanced sensing
- Predictive models for quality and process control
- Industry 4.0 diagnostics
Chemometrics and Machine learning - University of Copenhagen +
Group:Chemometrics and Machine learning
Center: Department of Food Science, University of Copenhagen
Description: The cross-sectional Chemometrics and Machine Learning (CML) group at the Department of Food Science at the University of Copenhagen (UCPH FOOD) has been conducting research in machine learning (ML) and artificial intelligence (AI) for more than 25 years.
At UCPH FOOD, we analyze samples ranging from raw materials to end products.
Through data analysis, we estimate properties and functionalities from these measurements, enabling us to optimize and characterize food production and final product quality.
This approach is widely applied in raw material identification, process monitoring and optimization, detection of food fraud and adulteration, gastronomy, the study of the biology of flavor, proteomics, metabolomics, and many other areas.
Our research is divided into applied and basic research. We use and develop statistics, artificial intelligence, mathematical optimization, and machine learning, combined with knowledge of the physical and chemical nature of the data.
Group: Lípidos y Compuestos Bioactivos en la Cadena Alimentaria - LiBiFOOD
Center: Universitat de Barcelona
Description: The LiBiFOOD research group at the University of Barcelona specializes in advanced food analysis using analytical chemistry and multivariate modeling applied to authentication.
We primarily work with chromatographic data (fingerprinting and profiling) related to the determination of volatile and lipid compounds.
We have carried out extensive research on olive oil and nuts, among other products, developing models for their botanical, geographical, and commercial quality verification.
Group: Química Analítica, Medio Ambiente y Quimiometría - QAMAQ
Center: Universidad de Valladolid
Description: The group works on the development, optimization, and validation of analytical methodologies aimed at the determination of microcontaminants in environmental matrices, food, and residual biomass; the development of sustainable methodologies for waste valorization; hydrogeochemical characterization of aquifers; and food analysis to determine origin and prevent fraud.
Chemometric techniques are applied both in optimization and validation, as well as in the analysis of analytical results.
Química de Superficies y Nanotecnología - TEKNIKER +
Group: Química de Superficies y Nanotecnología
Center: TEKNIKER
Description: Measurement and transduction principles line. Within this line, work focuses on the validation of spectroscopic measurement principles (IR/SEIRA and Raman/SERS), as well as multivariate data analysis using chemometric methods.
Additionally, in collaboration with other Tekniker units, work is carried out on the development of sensor devices based on these measurement principles.
Grupo de Investigación en Perinatología - Instituto de Investigación Sanitaria La Fe +
Group:Grupo de Investigación en Perinatología
Center: Instituto de Investigación Sanitaria La Fe
Description: The Perinatology Research Group at IIS La Fe is a multidisciplinary team integrating neonatologists from the Neonatology Service, professionals from the Milk Bank, and basic researchers specialized in analytical chemistry and molecular biology.
Their activity focuses on the study of biomarkers in newborns, particularly in conditions such as hypoxic-ischemic encephalopathy, prematurity, and pulmonary hypertension.
The group develops advanced metabolomics techniques, portable sensors, and personalized nutrition strategies based on human milk.
Additionally, they investigate extracellular vesicles and their therapeutic potential in neonatal diseases.
Their goal is to translate scientific knowledge into clinical practice to improve neonatal health.
Description: The Environmental Chemometrics Group focuses on developing and implementing advanced chemometric tools to tackle environmental challenges.
We analyze large chemical and biological datasets generated by state-of-the-art analytical techniques, integrating laboratory and field studies.
We use cutting-edge chemometric methods, particularly MCR-ALS, to decompose complex mixtures, identify contaminants, determine their sources, and characterize their effects, thereby addressing their presence, behavior, and impact in water, soil, sediments, and air. At the same time, we assess potential effects on organisms, ecosystems, and human health using chemometric strategies applied to omics and analytical data.
Description: Smart-Chemical-LAB is a project to develop an interdisciplinary, sustainable and portable analytical chemistry laboratory combining resources from the fields of Analytical Chemistry, Food Technology, Optics, Forensics, Chemometrics, Environmental, and Cultural Heritage.
Smart-Chemical-LAB aims to develop sustainable analytical methods, combining signals from portable instrumentation and specifically designed 3D-printed analytical Arduino-based devices and smartphone data acquisition.
The fast on-site data acquisition process, permits real-time decisions to be made for problem-solving in areas that, though different, share similar problems, and that would benefit from the reduction in reagent consumption, the use of portable equipment, non-invasive and non-destructive techniques, based in low-cost but precise and robust technology.
