Biosensors represent a powerful analytical tool for analyzing biomolecular interactions with the potential to achieve real-time quantitative analysis with high accuracy using low sample volumes, minimum sample pretreatment with high potential for the development of in situ and highly integrated monitoring platforms. Considering these advantages, their use in cell-culture systems has increased over the last few years. Between the different technologies for cell culture, organs-on-a-chip (OOCs) represent a novel technology that tries to mimic an organ's functionality by combining tissue engineering/organoid with microfluidics. Although there are still challenges to achieving OOC models with high organ mimicking relevance, these devices can offer effective models for drug treatment development by identifying drug targets, screening toxicity, and determining the potential effects of drugs in living beings. Consequently, in the future, we might replace animal studies by offering more ethical test models. Considering the relevance that different physiological and biochemical parameters have in the correct functionality of cells, sensing and biosensing platforms can offer an effective way for the real-time monitoring of physiological parameters and, in our opinion, more relevant, the secretion of biomarkers such as cytokines, growth factors, and others related with the influence of drugs or other types of stimulus in cell metabolism. Keeping this concept in mind, in this chapter, we focus on describing the potential use of sensors and biosensors in OOC devices to achieve fully integrated platforms that monitor physiological parameters and cell metabolism.
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http://dx.doi.org/10.1007/978-3-031-04039-9_3 | DOI Listing |
Mikrochim Acta
January 2025
Indian Institute of Technology (BHU), Varanasi, 221005, India.
In the modern age, half of the population is facing various chronic illnesses due to glucose maintenance in the body, major causes of fatality and inefficiency. The early identification of glucose plays a crucial role in medical treatment and the food industry, particularly in diabetes diagnosis. In the past few years, non-enzymatic electrochemical glucose sensors have received a lot of interest for their ability to identify glucose levels accurately.
View Article and Find Full Text PDFAnal Chem
January 2025
Rural Health Research Institute, Charles Sturt University, Orange, New South Wales 2800, Australia.
The detection and analysis of circulating cell-free nucleic acid (ccfNA) biomolecules are redefining a new era of molecular targeted cancer therapies. However, the clinical translation of electrochemical ccfNA biosensing remains hindered by unresolved challenges in analytical specificity and sensitivity. In this Perspective, we present a novel electrochemical framework for improving ccfNA biosensor performance by optimizing the critical electrode-biomolecules-electrolyte interfaces.
View Article and Find Full Text PDFPutrescine is a kind of physical diamine that is closely related to food deterioration and food quality safety. This study employs a novel fiber optic biosensor based on S-tapered and waist extension techniques, as well as localized surface plasmon resonance (LSPR), to detect putrescine accurately. The gold nanoparticles (AuNPs) are fixed on the fiber to excite LSPR.
View Article and Find Full Text PDFOpt Express
December 2024
In this study, we developed terahertz (THz) metamaterial devices with attenuated total reflection (ATR) geometries for biosensing applications. This was achieved by transferring the metamaterial patterns fabricated on a polyimide film to a prism-top surface. We characterized the resonance characteristics of metasurfaces for different THz wave polarizations and gap structure orientations in the metamaterials.
View Article and Find Full Text PDFMicro ring resonators (MRR) based evanescent field biosensors have shown excellent potential in medical diagnostics due to their performance, scalability, and ability to integrate multiple sensors in a small area to detect various biomarkers simultaneously. The quest to improve the performance and feature size of such sensors has led to the development of cutting-edge photonic integrated circuits (PIC). However, chip-scale implementation of readout and data analysis still needs to be addressed adequately.
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