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Biology subjects

Gonzalez-Macia, L.

Publications and source records attributed to Gonzalez-Macia, L..

7 recordsLinked to original sources

Bioelectronic wearable sensors produced by computerized embroidery using a dual thread approach

Electronic textiles offer a promising route to wearable systems capable of continuous biophysical and biochemical monitoring. Their broader adoption remains limited by conductive threads that rarely support computerized embroidery (CEmb), reliable electronic integration, and reduced electrochemical capabilities due to coatings that degrade under bending, friction, or aqueous exposure. In this work, we use a dual-thread strategy that integrates silver-plated polyamide threads (AgPT) for high-conductivity pathways with PECOTEX, a chemically resilient PEDOT:PSS-coated cotton thread optimized for biochemical sensing. This approach preserves compatibility with CEmb, enhances electrochemical performance, and reduces cost by reserving AgPT for critical traces. We demonstrate a CEmb-compatible fabrication process for two wearable devices: a fully embroidered SmartBra for electrocardiography and a two-electrode ion sensor for potassium and sodium detection. We validate the design of our wearable dual-thread biosensors through laboratory characterization experiments and evaluate electrochemical sensing performance using a breast milk substitute, enabling realistic testing within womens health and infant-nutrition contexts. By focusing on scalable fabrication and meaningful applications, this work advances embroidered electronic textile systems toward practical, personalized healthcare monitoring.

bioengineering↗

Electrochemical Lateral Flow Assay with Linked Analytics for the Surveillance of Cassava Brown Streak Disease in East Africa

Cassava brown streak disease (CBSD) severely threatens food security in East Africa and the livelihoods of hundreds of millions globally. Effective control requires large-scale surveillance in resource-limited settings, which is currently lacking. We present ELLA (Electrochemical Lateral Flow Assay with Linked Analytics), a portable, battery-free, low-cost digital diagnostic platform integrating lateral flow assays with near-field communication and electrochemical readouts for cloud-based data storage and analytics. Validated through extensive field trials in East Africa and smaller studies in Brazil, ELLA achieved 89% agreement with RT-qPCR and 95% with ELISA, often surpassing ELISA sensitivity at a material cost below US$1 per test. Leveraging ELLAs molecular results, we trained a deep-learning model (DeepELLA) for rapid, image-based diagnosis of CBSD, enabling scalable surveillance of this and potentially emerging plant pathogens. By combining electrochemical sensing, digital connectivity, and AI-driven analytics, ELLA offers a powerful tool to strengthen plant disease monitoring and food security. Its modular design also allows adaptation to other chemical and biological targets, creating opportunities for novel datasets and new insights into plant and environmental health.

bioengineering↗

NFC-enabled Sensing Platform for the Onsite Determination of Asparagine in Food

Cooking foods rich in free asparagine (an amino acid that plays an important role in the synthesis of proteins), such as potatoes and flour-based products, can lead to the formation of acrylamide, a potent neurotoxin and potential carcinogen. Food manufacturers must quantify the levels of free asparagine before processing to minimize the formation of acrylamide, but conventional detection methods are often slow and expensive. We report a point-of-need measurement technology consisting of a chemically-functionalized paper-based electrical gas sensor and Near Field Communication (NFC)-enabled digital sensor interface (an integrated circuit) for rapid, cost-effective detection of free asparagine. Acid-functionalized paper-based electrical gas sensors selectively responds to ammonia gas, which is released during the enzymatic degradation of free asparagine. Through the use of the NFC-enabled digital sensor interface, a smartphone can wirelessly power and operate the paper-based gas sensor, enabling real-time quantification of free asparagine with a dedicated mobile application. We demonstrate a proof-of-concept sensor with a limit of detection of 3.19 {micro}g/mL, capable of detecting low levels of free asparagine in food products. This practical tool can facilitate better control over the levels of acrylamide in food and improve food safety.

bioengineering↗

Enabling Packaging Integration of Paper-based Electrical Gas Sensors for the Monitoring of Spoilage in Fresh Spinach

Gas sensors present an alternative to traditional off-package food quality assessment, due to their high sensitivity and fast response without the need of sample pre-treatment. The safe integration of gas sensors into packaging without compromising sensitivity, response rate, and stability, however, remains a challenge. Such packaging integration of spoilage sensors is crucial towards preventing food waste and transitioning towards more sustainable supply chains. Here, we demonstrate a wide-ranging solution to enable the use of gas sensors for the continuous monitoring of food spoilage, building upon our previous work on Paper-based Electrical Gas Sensors (PEGS). By comparing various materials commonly used in the food industry, we analyze the optimal membrane to encapsulate PEGS for packaging integration. Focusing on spinach as a high-value crop, we assess the feasibility of PEGS to monitor the gases released during its spoilage at low and room temperatures. Finally, we integrate the sensors with wireless communication and batteryless electronics, creating a user-friendly system to evaluate the spoilage of spinach, operated by a smartphone via Near Field Communication (NFC). The work reported here provides an alternative approach that surpasses traditional on-site and in-line monitoring, ensuring comprehensive monitoring of food shelf life.

bioengineering↗

Facilitating Electrochemical Lateral Flow Assay using NFC-Enabled Potentiostat and Nitrocellulose-based Metal Electrodes

Rapid detection of pathogens at the point-of-need is crucial for preventing the spread of human, animal and plant diseases which can have devastating consequences both on the lives and livelihood of billions of people. Colorimetric, lateral flow assays consisting of a nitrocellulose membrane, are the preferred format today for low-cost on-site detection of pathogens. This assay format has, however, historically suffered from poor analytical performance and is not compatible with digital technologies. In this work, we report the development of a new class of digital diagnostics platform for precision point-of-need testing. This new versatile platform consists of two important innovations: i) A wireless and batteryless, microcontroller-based, low-cost Near Field Communication (NFC)-enabled potentiostat that brings high performance electroanalytical techniques (cyclic voltammetry, chronoamperometry, square wave voltammetry) to the field. The NFC-potentiostat can be operated with a mobile app by minimally trained users; ii) A new approach for producing nitrocellulose membranes with integrated electrodes that facilitate high performance electrochemical detection at the point-of-need. We produced an integrated system housed in a 3D-printed phone case and demonstrated its used for the detection of Maize Mosaic Virus (MMV), a plant pathogen, as a proof-of-concept application.

bioengineering↗

Time-Resolved Chemical Phenotyping of Whole Plant Roots with Printed Electrochemical Sensors and Machine Learning

Plants are non-equilibrium systems consisting of time-dependent biological processes. Phenotyping of chemical responses, however, is typically performed using plant tissues, which behave differently to whole plants, in one-off measurements. Single point measurements cannot capture the information rich time-resolved changes in chemical signals in plants associated with nutrient uptake, immunity or growth. In this work, we report a high-throughput, modular, real-time chemical phenotyping platform for continuous monitoring of chemical signals in the often-neglected root environment of whole plants: TETRIS (Time-resolved Electrochemical Technology for plant Root In-situ chemical Sensing). TETRIS consists of screen-printed electrochemical sensors for monitoring concentrations of salt, pH and H2O2 in the root environment of whole plants. TETRIS can detect time-sensitive chemical signals and be operated in parallel through multiplexing to elucidate the overall chemical behavior of living plants. Using TETRIS, we determined the rates of uptake of a range of ions (including nutrients and heavy metals) in Brassica oleracea acephala. We also modulated ion uptake using the ion channel blocker LaCl3, which we could monitor using TETRIS. We developed a machine learning model to predict the rates of uptake of salts, both harmful and beneficial, demonstrating that TETRIS can be used for rapid mapping of ion uptake for new plant varieties. TETRIS has the potential to overcome the urgent "bottleneck" in high-throughput screening in producing high yielding plant varieties with improved resistance against stress.

bioengineering↗

PEDOT:PSS-Modified Cotton Conductive Thread for Mass Manufacturing of Textile-Based Electrical Wearable Sensors by Computerized Embroidery

The textile industry has advanced processes that allow computerized manufacturing of garments at large volumes with precise visual patterns. The industry, however, is not able to mass fabricate clothes with seamlessly integrated wearable sensors, using its precise methods of fabrication (such as computerized embroidery). This is due to the lack of conductive threads compatible with standard manufacturing methods used in industry. In this work, we report a low-cost poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS)-modified cotton conductive thread (PECOTEX) that is compatible with computerized embroidery. The PECOTEX was produced using a crosslinking reaction between PEDOT:PSS and cotton thread using divinyl sulfone as the crosslinker. We extensively characterized and optimized our formulations to create a mechanically robust conductive thread that can be produced in large quantities in a roll-to-roll fashion. Using PECOTEX and a domestic computerized embroidery machine, we produced a series of wearable electrical sensors including a facemask for monitoring breathing, a t-shirt for monitoring heart activity and textile-based gas sensors for monitoring ammonia as technology demonstrators. PECOTEX has the potential to enable mass manufacturing of new classes of low-cost wearable sensors integrated into everyday clothes.

bioengineering↗