Authors: Tejas Naidu

Abstract: The integration of nanotechnology with microbial biosensing systems has opened new avenues for precise, real-time ecological monitoring. Conventional environmental assessment techniques often fall short in terms of sensitivity, specificity, and speed, necessitating the development of more responsive and cost-effective alternatives. Microbial biosensors—living biological systems capable of detecting environmental pollutants—have emerged as promising tools due to their specificity, adaptability, and self-replicating nature. The incorporation of nanomaterials into these biosensors enhances their functional properties, including signal transduction, stability, and miniaturization. This review explores the synergy between nanotechnology and microbial biosensing, focusing on the design, mechanisms, and applications of nanotechnology-assisted microbial biosensors in ecological monitoring. Key developments in nanomaterials such as carbon nanotubes, quantum dots, metal nanoparticles, and nanocomposites are discussed in the context of their role in improving biosensor performance. The review also highlights the environmental pollutants targeted by these biosensors—ranging from heavy metals and pesticides to endocrine disruptors and greenhouse gases—and evaluates their deployment in field settings. Challenges related to biosafety, scalability, and regulatory frameworks are analyzed alongside future research directions. By merging microbial intelligence with nanotechnological precision, this emerging technology offers transformative potential in promoting environmental sustainability and public health.

DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.571

Published by: vikaspatanker

Authors: Saravanan.G, Assistant Professor Kalaimathi.D

Abstract: The project aimed to explore the possibility of fully or partially replacing cement as a stabilizer in Compressed Stabilized Earth Blocks (CSEBs). Cement is commonly used as a stabilizer in CSEBs, but it has a high carbon footprint. The bricks were tested for compressive strength along with water absorption and efflorescence. A comparison of strength gain between them was also conducted. Two proposed mixes, referred to as P-cement 1 and P-cement 2, were selected based on literature review for better comparison and to identify the optimum mix. To evaluate the strength characteristics of these mixes, mortar cubes were cast using both P- cement variants and Ordinary Portland Cement (OPC), and then tested for compressive strength.

Published by: vikaspatanker

Authors: B. Aslesha, L. Parinita Goud, Panneeru Nandini, M. Hrithika Marie

 

 

Abstract:

DOI: http://doi.org/

 

 

Published by: vikaspatanker

Authors: Manjunatha S Aradhya

Abstract: The human and environmental microbiomes constitute complex microbial ecosystems that play vital roles in maintaining ecological balance and promoting health. With the rapid advancement of nanotechnology, engineered nanoparticles (ENPs) are increasingly entering natural and clinical environments, raising concerns and opportunities regarding their interaction with microbial communities. The emerging interface between nanoparticles and the microbiome, termed the microbiome-nanoparticle nexus, represents a multidisciplinary frontier with significant implications for ecology and biomedicine. This review explores the dynamic interactions between various types of nanoparticles and the microbiome across environmental and host-associated settings. It examines how nanoparticles influence microbial diversity, metabolic functions, and resilience, while also evaluating microbial roles in nanoparticle transformation, detoxification, and biosynthesis. The biomedical potential of microbiome-engineered nanomaterials for drug delivery, diagnostics, and immunomodulation is critically discussed. Challenges related to nanoparticle toxicity, resistance evolution, and regulatory gaps are addressed. The review emphasizes the need for integrative approaches combining microbiology, nanoscience, and systems biology to fully understand and harness the microbiome-nanoparticle nexus for ecological sustainability and human health.

DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.570

Published by: vikaspatanker

Authors: Surendra Singh Vishwakarma, Dr Vijay Bhandari, Dr Praneet Saurabh

Abstract: Digital image classification plays a significant role in the early detection and analysis of medical conditions. Traditionally, diagnosis is performed manually by ophthalmologists through examination of retinal fundus images. However, this process is time-consuming, requires expert knowledge, and may sometimes lead to errors due to human limitations. In contrast, automated digital image classification systems provide a faster, more consistent, and cost-effective solution by analyzing large volumes of medical images efficiently. This work focuses on the application of digital image classification techniques for identifying different stages of diabetic retinopathy. Additionally, different image preprocessing, feature extraction, and classification methods are discussed. The study also summarizes the key image features commonly used in previous research for accurate classification of retinal images into different disease categories.

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Authors: Karthekia Mahesh

Abstract: In the era of sustainable development, the need for eco-friendly and cost-effective methods for synthesizing nanomaterials has gained significant momentum. Traditional physical and chemical approaches for nanoparticle synthesis are often energy-intensive, environmentally hazardous, and economically burdensome. In contrast, the use of environmental microbes for green nanomaterial fabrication offers a promising and sustainable alternative. These microbes possess remarkable biochemical versatility and are capable of synthesizing various metallic and metal oxide nanoparticles under mild conditions. This review explores the vast potential of environmental microbes—such as bacteria, fungi, actinomycetes, and algae—in the biosynthesis of nanomaterials. It outlines the mechanisms underlying microbial nanomaterial synthesis, including intracellular and extracellular pathways, and highlights their ecological significance and functional properties. Moreover, it discusses current and emerging applications of biogenic nanoparticles in medicine, agriculture, and environmental remediation. Challenges in large-scale production, standardization, and regulatory compliance are also addressed. By integrating microbial biotechnology with nanoscience, researchers are paving the way for innovative, sustainable solutions across multiple sectors while promoting environmental integrity.

DOI: http://doi.org/10.61137/ijsret.vol.8.issue6.569

Published by: vikaspatanker

Authors: Miss.Kithe Priya Suresh, Miss.Khatal Sneha Pradip, Dr.Khatri.A.A

Abstract: The fields of magnetism and resonance are crucial to the operation of Electric Vehicle Wireless Communication (EVWC) devices. A magnetic field is produced when electricity flows through a coil of wire, just as it is in a transformer. For Wireless Power Transfer (WPT) to work, it's necessary to position two coils in such a way that one's magnetic field induces a current in the other. Unless the coils are very close to one another and aligned in a straight line, inductive power transfer is inefficient. In this paper work related to wireless charging system proposed by various researchers is explored. Concept of Static and dynamic charging, Inductive power transmission, wireless power transmission techniques including inductive and capacitive coupling, far field techniques like Radio, microwave and laser techniques are also presented.

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Authors: Assistant Professor Niranjini Shibu, Assistant Professor Sameena A

Abstract: Rapid population expansion and rising economic activity have led to an enormous increase in motor vehicles, which is one of the main causes of an increase in road accidents in many major cities. In this paper, four factors are taken into account while evaluating the degree of road safety in Karunagapally, Kollam District. The factors considered are accident severity index, accident fatality rate, accident risk and accident risk. The data set for six years (2017 to 2022) is brought from “Police Department”. And also, Regression-based data analysis carried out to foresee the likelihood of accidents in a given environment. As a result, there is or should be a close relationship between crash investigation, data collection and analysis, and the creation and evaluation of viable countermeasures. Finally, it is critical that the study results are shared to those who are involved in implementing countermeasures and preventive programs.

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Authors: Payal Anil Barhate, Associate Professor Dr. Ayesha Siddiqui, Dr.Nagsen Bansod, Dr.Rajkumar Deshpande

Abstract: Artificial Intelligence (AI) is changing the way companies hire people by making it possible to automatically screen resumes, predict who will get the job, and assess behaviour. These new technologies make things much more efficient and scalable, but they also raise important ethical issues, especially the possibility of algorithmic bias. Unfair discrimination against candidates based on their gender, race, or socioeconomic background can happen when training data is biassed, decision-making models are unclear, and there is no accountability. This study looks into where bias comes from and how it shows up in AI-powered hiring systems. It also looks at a range of ways to reduce bias, which are divided into three groups: pre-processing, in-processing, and post-processing. It looks at how well tools like fairness-aware learning, adversarial debiasing, and equalised odds post-processing work to promote fairness.

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Authors: Assistant Professor Mohammad Zayan, Akhi S Ragh

Abstract: Bituminous mixtures serve as wearing and base layers in pavements, with performance judged by resistance to deformation, cracking, moisture damage, and stiffness. Stone Matrix Asphalt (SMA), using PMB 40-grade bitumen, offers better rut resistance than conventional mixes. This study tested SMA mixes with glass and jute fibers, examining tensile strength, drain down, and rutting resistance. Glass fiber improved stability, stiffness, and reduced bitumen drain down, while jute fiber showed higher drain down due to its elasticity. Overall, glass fiber outperformed jute in enhancing rutting resistance and long-term performance. The findings emphasize the importance of fiber selection for optimizing SMA mix designs and improving pavement durability.

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