SnO2 nanoflakes deposited carbon yarn-based electrochemical immunosensor towards cortisol measurement

Madhu, Sekar; Ramasamy, Sriramprabha; Magudeeswaran, Vignesh; Manickam, Pandiaraj; Ponpandian, N.; Chinnuswamy, Viswanathan

doi:10.1007/s40097-022-00486-1

Cited by 23 publications

(23 citation statements)

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“…Integrating flexible printed bio-signal-monitoring devices with AI modules could allow real-time and wireless measurement. Similar to flexible devices, electronic textile (e-textile)-based sensor platforms are also widely used for real-time and continuous measurement of physiological signals [ 70 ]. Fang et al demonstrated an e-textile-based triboelectric pulse sensor for non-invasive blood-pressure measurement [ 71 ].…”

Section: Role Of Nanotechnology and Iomt In Healthcarementioning

confidence: 99%

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare

et al. 2022

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Artificial intelligence (AI) is a modern approach based on computer science that develops programs and algorithms to make devices intelligent and efficient for performing tasks that usually require skilled human intelligence. AI involves various subsets, including machine learning (ML), deep learning (DL), conventional neural networks, fuzzy logic, and speech recognition, with unique capabilities and functionalities that can improve the performances of modern medical sciences. Such intelligent systems simplify human intervention in clinical diagnosis, medical imaging, and decision-making ability. In the same era, the Internet of Medical Things (IoMT) emerges as a next-generation bio-analytical tool that combines network-linked biomedical devices with a software application for advancing human health. In this review, we discuss the importance of AI in improving the capabilities of IoMT and point-of-care (POC) devices used in advanced healthcare sectors such as cardiac measurement, cancer diagnosis, and diabetes management. The role of AI in supporting advanced robotic surgeries developed for advanced biomedical applications is also discussed in this article. The position and importance of AI in improving the functionality, detection accuracy, decision-making ability of IoMT devices, and evaluation of associated risks assessment is discussed carefully and critically in this review. This review also encompasses the technological and engineering challenges and prospects for AI-based cloud-integrated personalized IoMT devices for designing efficient POC biomedical systems suitable for next-generation intelligent healthcare.

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Section: Role Of Nanotechnology and Iomt In Healthcarementioning

confidence: 99%

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare

et al. 2022

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“…Another potential wearable biosensor for cortisol detection has been recently reported by Madhu et al involving nanomaterials anchored on textile materials as key in designing wearable electrochemical sensing devices where nanomaterials allow the bioreceptor immobilization and signal transduction capabilities. [31,32] The authors modify a framework of conductive carbon yarns (CCY), a fibrous material that may be activated to provide high surface area as required for electrocatalytic applications, with ZnO nanorods (ZnOÀ NRs) [31] or with SnO 2 nanoflakes (SnO 2 À NFs), [32] then immobilizing cortisol specific antibodies through electrostatic interactions. The electrochemical cells were completed with an Ag/AgCl reference electrode, and platinum wire as counter electrode, and a mixture of Fe(CN) 6 3À /4À redox couple was used as the signal generating probe.…”

Section: Susanamentioning

confidence: 99%

Affinity‐Based Wearable Electrochemical Biosensors: Natural versus Biomimetic Receptors

et al. 2022

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This review delves into the titanic research efforts carried out during the last years on affinity-based wearable electrochemical biosensors, using both natural (antibodies) and biomimetic (aptamers, peptides and molecular imprinted polymers) receptors. The rationale and application of selected representative strategies is critically discussed, ending with realistic and futuristic visions of the technical barriers, challenges and prospects in the development and adoption of these biodevices in daily routines to ensure well-being against known, unknown and unexpected threats.

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“…Madhu and co-workers designed new wearable electrochemical cortisol-sensing devices, exploiting the anchoring of nano-structured materials on textile materials [ 77 ]. The sensor exploits a conductive carbon fiber integrated with SnO 2 nanoflakes (SnO 2 /CCY).…”

Section: Electrochemical Nanosensorsmentioning

confidence: 99%

Nanomaterials for Cortisol Sensing

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Santonocito

2022

Nanomaterials

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Space represents one of the most dangerous environments for humans, which can be affected by high stress levels. This can lead to severe physiological problems, such as headaches, gastrointestinal disorders, anxiety, hypertension, depression, and coronary heart diseases. During a stress condition, the human body produces specific hormones, such as dopamine, adrenaline, noradrenaline, and cortisol. In particular, the control of cortisol levels can be related to the stress level of an astronaut, particularly during a long-term space mission. The common analytical methods (HPLC, GC-MS) cannot be used in an extreme environment, such as a space station, due to the steric hindrance of the instruments and the absence of gravity. For these reasons, the development of smart sensing devices with a facile and fast analytical protocol can be extremely useful for space applications. This review summarizes the recent (from 2011) miniaturized sensoristic devices based on nanomaterials (gold and carbon nanoparticles, nanotubes, nanowires, nano-electrodes), which allow rapid and real-time analyses of cortisol levels in biological samples (such as saliva, urine, sweat, and plasma), to monitor the health conditions of humans under extreme stress conditions.

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SnO2 nanoflakes deposited carbon yarn-based electrochemical immunosensor towards cortisol measurement

Cited by 23 publications

References 50 publications

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare

Affinity‐Based Wearable Electrochemical Biosensors: Natural versus Biomimetic Receptors

Nanomaterials for Cortisol Sensing

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