Research team


Biotechnologist with a Master in Health Biotechnology. PhD in Nanoscience, Materials and Chemical Engineering. Expertise in the development of electrochemical sensors for the detection of relevant ions (such as potassium, sodium or chloride among others) and biomolecules (such as glucose, creatinine or explosives) related with different diseases or surveillance. Except for explosives, the aforementioned analytes of interest can be found in biological fluids, so I have experience in working with biological samples such as sweat, urine, blood and plasma. Potentiometric, amperometric and voltammetric techniques have been used as readout of the developed sensors in different configurations: wearable, patch, microneedles, microfluidic cells, paper-based sensors, etc.

Unique multiarray immunosensor for the accurate quantification of the fertility window of women in saliva (Umay4women). 01/09/2021 - 31/03/2023


Recent data estimate that approximately 8 – 10 % of couples are facing fertility problems which means more than 50 million people worldwide are struggling to get pregnant. One of the main reasons couples have difficulty conceiving is their inability to accurately predict the female's ovulation period. Indeed, the quantification and monitoring of four specific female hormones is crucial for early identification of infertility and tracing of diseases associated with hormonal disbalances (e.g. ovarian cancer). In comparison with costly and complex conventional methods and commercially available test that only measure one or two of the four key hormones, Umay4women (Umay) proposes, for the first time, a unique and reliable quantification of all hormones involved in the ovulatory cycle to accurately determine the 'fertility window' by using non-invasive saliva samples. The novelty of this project relies on the combination of nanomaterials, photosensitizers, paper-based microfluidics and immunoassay disciplines to develop a multiarray biosensor, overcoming the drawbacks of current techniques and sampling methods. Importantly, the sensing strategy is based on a novel photoelectrochemical approach which uses the light to trigger the electrochemical response, thus eliminating potential interferences and empowering the readout. Although initially focused on fertility monitoring in women, the underlying technologies have the potential to be further extended after this fellowship for a wider range of applications and final users (e.g. monitoring of fertility in animal industry or tracing the evolution of patients after ovarian cancer treatment) to develop reliable, low-cost, multiarray platforms for healthcare applications. From the clinical perspective, Umay will facilitate the direct and rapid quantification of the key fertility hormones which will lead to faster and private decision-making processes toward an enhancement of the fertility management of each women.


Research team(s)

Project type(s)

  • Research Project