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In the last three decades, a lot of scientific research has been carried out in the field of Carbon nanomaterials all over the world due to their significant electronic, optical, mechanical, chemical and thermal properties. The zero, one, two and three dimensional Carbon nanomaterials (i.e. fullerenes, Carbon nanotubes, Graphene, Carbon quantum dots, Carbon Nanohorns, Nanodiamonds, Carbon Nanofibres and Carbon black) have exhibited such inherent features that can be easily exploited in the development of advanced technology for sensing applications. The employment of nanomaterials within sensors has paved new way and opportunities for the detection of analytes or target molecules. Carbon nanomaterials based electrochemical biosensors have reported biocompatibility, better sensitivity, better selectivity and lower limits of detection to detect a wide range of chemical to biological molecules. In this paper, a comprehensive review has been made to cover recent developments in the field of Carbon based nanomaterials as electrochemical biosensors. The characteristic features of a variety of nanomaterials like fullerenes, Carbon nanotubes, Graphene, Carbon quantum dots, Carbon Nanohorns, Carbon Nanodiamonds, Carbon Nanofibres, Carbon black etc. have been discussed along with their synthesis methods. The recent application of all these nanomaterials as electrochemical biosensors for the detection of various biomolecules have been highlighted; the future prospects and possibilities in this field have been outlined.

Hybrid functional materials, constituting both inorganic and organic components, are considered potential platforms for applications in extremely diverse fields such as optics, micro-electronics, transportation, health, energy, energy storage, diagnosis, housing, environment and the highly relevant area is Internet of Things (IoT). Material properties of hybrid materials can be tuned by modification of the composition on the molecular scale to produce smart materials. Cross-cutting approaches, to synergistically couple molecular engineering and processing allows to tailor complex hybrid systems of various shapes with perfect control over size, composition, functionality, and morphology. The detailed description and discussion of variety of hybrid functional organicinorganic materials and their contribution in the designing of specific modern technologies is the prime focus of this review. There is an enormous demand for hybrid materials to provide technological breakthroughs with the most sought after being the enabling of the IoT. Interest in the field of IoT will witness exponential growth over the next decade as markets realize the true potential of realtime data acquisition for various entertainment, knowledge dissemination, defense, environmental, and healthcare applications. Many of the well-established materials, such as metals, 1 ceramics, 2-4 or plastics 5,6 cannot fulfill all technological desires for the various new applications. In addition to the early interest in structural hybrid materials based on carbon-silicon networks, many recent efforts have centered on the design of functional hybrid materials which harness the chemical activity of their components. This approach has been successfully used in recent years in the design of hybrid polymers 7 with special emphasis on structural hybrid materials based on mixed silicon-carbon networks prepared by sol-gel methods [8][9][10][11][12] which can also entrap additional active species. 13 In this field the stakes are high and scientists aim at producing structural materials with properties between those of inorganic glasses and organic polymers.8 But the expectations go beyond mechanical strength and thermal and chemical stability. These new materials are also sought for improved optical, 14-17 and electrical 18,19 properties, luminescence, 12,20-25 ionic conductivity, [26][27][28] and selectivity, 29-32 as well as chemical [33][34][35] or biochemical 36-38 activity. Chemical activity is of core importance in functional materials. Sensors, selective membranes, all sorts of electrochemical devices, from actuators to batteries or supercapacitors, supported catalysts or photoelectrochemical energy conversion cells are some important devices based on hybrid functional materials.Hybridization is a multifaceted strategy. In some cases, conducting organic polymers act just as a solid polymeric support for active species, whereas in other hybrid systems the activity of organic and inorganic species combines to reinforce or modify each other. But in every case ...

ZnO has several potential applications into its credit. This review article focuses on the influence of processing parameters involved during the synthesis of ZnO nanoparticles by sol-gel method. During the sol-gel synthesis technique, the processing parameters/experimental conditions can affect the properties of the synthesized material. Processing parameters are the operating conditions that are to be kept under consideration during the synthesis process of nanoparticles so that various properties exhibited by the resulting nanoparticles can be tailored according to the desired applications. Effect of parameters like pH of the sol, additives used (like capping agent, surfactant), the effect of annealing temperature and calcination on the morphology and the optical properties of ZnO nanoparticles prepared via sol-gel technique is analyzed in this study. In this study, we tried to brief the experimental investigations done by various researchers to analyze the influence of processing parameters on ZnO nanoparticles. This study will provide a platform to understand and establish a correlation between the experimental conditions and properties of ZnO nanoparticles prepared through sol-gel route which will be helpful in meeting the desired needs in various application areas.

Electrochemical, chemiresistive and wearable sensors based on tin oxide (SnO2) were investigated for chemical sensing applications. There is an increased usage of SnO2 as modifier electrode materials because of its astonishing features of thermal stability, biocompatibility, excellent bandgap, cost effective and abundant availability. The surface of working electrode is modified by nanomaterials of SnO2 in combination with various metals, semiconductors and carbon derivatives for improved sensing performance. Various voltammetric and amperometric techniques were involved in studying the electrochemical properties and behaviour of the anlaytes at the surface of modified electrodes. This review focused on some recent works that provides an overview of the applications of SnO2 nanomaterials for the development of chemiresistive, electrochemical, and wearable sensors.

The electrochemical biosensors are a class of biosensors which convert biological information such as analyte concentration that is a biological recognition element (biochemical receptor) into current or voltage. Electrochemical biosensors depict propitious diagnostic technology which can detect biomarkers in body fluids such as sweat, blood, feces, or urine. Combinations of suitable immobilization techniques with effective transducers give rise to an efficient biosensor. They have been employed in the food industry, medical sciences, defense, studying plant biology, etc. While sensing complex structures and entities, a large data is obtained, and it becomes difficult to manually interpret all the data. Machine learning helps in interpreting large sensing data. In the case of biosensors, the presence of impurity affects the performance of the sensor and machine learning helps in removing signals obtained from the contaminants to obtain a high sensitivity. In this review, we discuss different types of biosensors along with their applications and the benefits of machine learning. This is followed by a discussion on the challenges, missing gaps in the knowledge, and solutions in the field of electrochemical biosensors. This review aims to serve as a valuable resource for scientists and engineers entering the interdisciplinary field of electrochemical biosensors. Furthermore, this review provides insight into the type of electrochemical biosensors, their applications, the importance of machine learning (ML) in biosensing, and challenges and future outlook.

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