Developing Biosensors using Photonic Crystal Fibres and Surface Plasmon Resonance (SPR)
Dr Sanjeev Mani Yadav, Assistant Professor from the Department of Electronics and Communication Engineering, has published a cutting-edge research paper titled “Au-Al2O3 Coated Highly Sensitive Broad Range Refractive Index Sensor for Detecting Malaria Disease in Human Blood” in the IEEE Sensors Journal with an impact factor of 4.3. This research focuses on developing a highly sensitive biosensor using photonic crystal fibres and a technique called surface plasmon resonance (SPR) to detect changes in the refractive index, which is how much light bends when it enters a material. This biosensor can also detect malaria in the human body.
Abstract
The paper represents the photonic crystal fibre-based surface plasmon resonance (SPR) biosensor for broad-range refractive index sensors along with the detection of malaria disease in the human body. α-Al2O3-Au dielectric-metal interface has been proposed to stimulate the free electron on the metal surface via evanescent to result in an SPR phenomenon. The proposed sensor shows a sufficient shift in resonance wavelength for the change in external RI from 1.32 to 1.40 for an optimised Al2O3/Au thickness of 50nm/12nm. The broad-range sensing applicability of the designed sensor shows a maximum sensitivity of 6000 nm/RIU when the external RI changes from 1.38 to 1.40. The detection accuracy of the designed sensor is reported to be 1.66×10-5 (RIU) and reported compatible in comparison to broad RI sensors. The proposed SPR sensor has been utilised to sense the malaria diseases in the human body by filling infected RBC samples on the dielectric-metal surface. The proposed study aids in detecting various stages of malaria-infected RBCs, including the Ring phase, Trophozoite phase, and Schizont phase, by measuring the shift in resonance wavelength. The sensor’s wavelength sensitivity varies across the phases: 5714.28 nm/RIU for the Ring phase, 5263.15 nm/RIU for the Trophozoite phase, and 5931 nm/RIU for the Schizont phase. The sensor exhibits the highest reported sensitivity among other biological sensors in this category. The proposed sensor fulfils all the requirements for a diagnosis of early malaria disease in the human body, along with its high sensitivity, low detection limit, and capability of sensing broad RI.
How does the sensor work?
1. Biosensor Basics: The sensor uses a combination of a special crystal fibre and a metal surface (a mix of aluminium oxide and gold) to create a reaction when light hits it. This reaction is called SPR and it helps in detecting tiny changes.
2. Detecting Changes: When the external refractive index (a measure of how light bends in a substance) changes, the sensor detects this by a shift in the wavelength (colour) of the light. The study found that the sensor is very sensitive to changes in the refractive index between 1.32 and 1.40.
3. Sensitivity: The sensor is incredibly sensitive, with a maximum sensitivity of 6000 nm/RIU (nanometres per refractive index unit). This means it can detect very small changes very accurately.
4. Malaria Detection: The sensor can also detect malaria by analysing infected red blood cells. Different stages of malaria infection (Ring, Trophozoite, and Schizont) cause different shifts in the wavelength, which the sensor can measure. The sensor’s sensitivity varies slightly with each stage but is consistently high.
5. High Performance: This sensor is reported to have the highest sensitivity compared to other similar sensors and meets all the requirements for early malaria diagnosis due to its high sensitivity, low detection limit, and ability to detect a wide range of refractive indices.
In essence, this sensor is a powerful tool for detecting both refractive index changes and malaria in the human body with high accuracy and sensitivity.
Practical implementation/Social implications of the research
The photonic crystal fibre-based SPR biosensor represents a significant advancement in medical diagnostics with wide-ranging practical applications and social implications. Its high sensitivity and accuracy in detecting malaria and potentially other diseases can lead to better health outcomes, economic benefits, and improved access to healthcare, particularly in regions that need it the most.
Dr Sanjeev Mani Yadav acknowledges Dr Amritanshu Pandey, Electronics Engineering Department, IIT (BHU) Varanasi, for his continuous support and guidance throughout this research.
- Published in Departmental News, ECE NEWS, News, Research News
Unveiling the Dynamics of Labour Market Outcomes
In the wake of the COVID-19 pandemic, societies across the globe were pushed into acute constraints, especially in the absence of employment security and consistency. In this regard, Dr Boddu Srujana, Assistant Professor at the Department of Economics through her research paper titled, Women’s Labour Market Outcomes and Contours of Subnationalism: A Comparison Across Four States in India, scrutinises the impact of the pandemic on women’s employment and thereby explores whether these outcomes were uniformly impacted or if they reveal variations attributable to the political dynamics within these states.
Read the exciting excerpt followed by the link to the article, featured in Economic and Political Weekly
Abstract:
Using, the Periodic Labour Force Survey data for 2018–19 and 2020–21, the article explores shifts in women’s employment outcomes pre- and post-pandemic across four Indian states. The article finds that the states with stronger subnational politics fare better in creating quality employment outcomes for women compared to their counterparts, even during times of crisis such as the recent COVID pandemic. This stands true even for women with disadvantaged social, economic and educational backgrounds.
Practical implementation of research and social implications:
The research highlights the effectiveness of governance and emphasizes social policies over time that can create better job opportunities for women, where they can secure against vulnerabilities even during challenging times such as crises. This leads to greater economic independence, reduces poverty, and promotes social equity.
Collaborators:
The research paper is co-authored with Anagha Tobi and Sipoy Sarveswar.
Anagha Tobi is an Assistant Professor at the Department of Humanities and Social Sciences, Mahindra University, Hyderabad. Sipoy Sarveswar is an Assistant Professor at the Department of Anthropology, Vidya Bhavana, Visva-Bharati, Santiniketan.
Future Plans:
As part of her future research projects in this area, Dr Srujana plans on studying the urban informal labour markets, urbanisation, the dynamics of informalisation, the future of work, and the impact of public policy on labour markets. She is eager to extend her work in these areas by engaging in collaborative research while also partnering with academic institutions, policymakers and NGOs, whereby she aims to contribute to the changing world of work and develop actionable insights that can inform policy and practice
Link to the article.
https://www.epw.in/journal/2024/23/perspectives/womens-labour-market-outcomes-and-contours.html
- Published in Departmental News, Economics News, News, Research News
A System for Visually Impaired Navigation
A dedicated team of researchers and professors have developed an innovative patent titled “System and a Method for Assisting Visually Impaired Individuals” that uses cutting-edge technology to significantly improve the navigation experience for visually impaired individuals, fostering greater independence and safety.
The team, comprising Dr Subhankar Ghatak and Dr Aurobindo Behera, Assistant Professors from the Department of Computer Science and Engineering, and students Ms Samah Maaheen Sayyad, Mr Chinneboena Venkat Tharun, and Ms Rishitha Chowdary Gunnam, has designed a system that transforms real-time visual data into vocals via a mobile app. It will utilise wearable cameras, cloud processing, computer vision, and deep learning algorithms. Their solution captures visual information and processes it on the cloud, delivering relevant auditory prompts to users.
Abstract
This patent proposes a novel solution entitled, “System and a method for assisting visually impaired individuals aimed at easing navigation for visually impaired individuals. It integrates cloud technology, computer vision algorithms, and Deep Learning Algorithms to convert real-time visual data into vocal cues delivered through a mobile app. The system
employs wearable cameras to capture visual information, processes it on the cloud, and deliver relevant auditory prompts to aid navigation, enhancing spatial awareness and safety for visually impaired users.
Practical implementation/Social implications of the research
The practical implementation of our research involves several key components. Firstly, we need to develop or optimise wearable camera devices that are comfortable and subtle for visually impaired individuals to wear. These cameras should be capable of capturing high-quality real-time visual data. Secondly, we require a robust cloud infrastructure capable of processing this data quickly and efficiently using advanced computer vision algorithms and Deep Learning Algorithms. Lastly, we need to design and develop a user-friendly mobile application that delivers the processed visual information as vocal cues in real-time. This application should be intuitive, customisable, and accessible to visually impaired users.
The social implications of implementing this research are significant. By providing visually impaired individuals with a reliable and efficient navigation aid, we can greatly enhance their independence and quality of life. Navigating city environments can be challenging and hazardous for the visually impaired, leading to increased dependency and reduced mobility. Our solution aims to mitigate these challenges by empowering users to navigate confidently and autonomously. This fosters a more inclusive society where individuals with visual impairments can participate actively in urban mobility, employment, and social activities.
In the future, we plan to further enhance and refine our technology to better serve the needs of visually impaired individuals. This includes improving the accuracy and reliability of object recognition and scene understanding algorithms to provide more detailed and contextually relevant vocal cues. Additionally, we aim to explore novel sensor technologies and integration methods to expand the capabilities of our system, such as incorporating haptic feedback for enhanced spatial awareness.
Furthermore, we intend to conduct extensive user testing and feedback sessions to iteratively improve the usability and effectiveness of our solution. This user-centric approach will ensure that our technology meets the diverse needs and preferences of visually impaired users in various real-world scenarios.
Moreover, we are committed to collaborating with stakeholders, including advocacy groups, healthcare professionals, and technology companies, to promote the adoption and dissemination of our technology on a larger scale. By fostering partnerships and engaging with the community, we can maximize the positive impact of our research on the lives of visually impaired individuals worldwide.
- Published in CSE NEWS, Departmental News, News, Research News
Teacher-Student Duo Collaborate to Achieve Scientific Excellence
The Department of Mechanical Engineering at SRM University-AP is proud to present its research paper titled, Study on Properties and Microstructure of Wire Arc Additive Manufactured 2209 Duplex Stainless Steel by Dr Maheshwar Dwivedy and post-doctoral researcher, Dr B Prasanna Nagasai. Below is a brief write-up on their research.
Abstract:
This study investigates the properties and microstructure of 2209 duplex stainless steel (DSS) components fabricated using the wire arc additive manufacturing (WAAM) technique, specifically employing the gas metal arc welding (GMAW) process. The research focuses on the mechanical properties and microstructural characteristics of the produced cylindrical components. Detailed examination revealed that the microstructure varied from the bottom (region ①) to the top (region ②) of the cylinders, with hardness measurements ranging from 301 HV0.5 to 327 HV0.5, and impact toughness values from 118J to 154J. The tensile properties exhibited anisotropic behavior, with ultimate tensile strength and yield strength ranging from 750 to 790 MPa and 566 to 594 MPa, respectively. The study highlights the significant influence of complex heat cycles and cooling rates on the primary phase balance, resulting in a 50/50 austenite/ferrite distribution. Additionally, σ-phase precipitation was observed at the ferrite grain boundaries. The observed increase in austenite content from region ① to region ② is attributed to reduced cooling rates and extended time for solid-state phase transformation. This research provides valuable insights into optimizing the WAAM process for enhanced performance of 2209 DSS components.
Citation Format:
Prasanna Nagasai, B, Maheshwar Dwivedy, Malarvizhi, S. et al. Study on Properties and Microstructure of Wire Arc Additive Manufactured 2209 Duplex Stainless Steel. Metallogr. Microstruct. Anal. (2024). https://doi.org/10.1007/s13632-024-01089-8
Practical implementation:
The practical implementation of this research on Wire Arc Additive Manufacturing (WAAM) for Duplex Stainless Steel (DSS) has significant implications for industries requiring high-strength, corrosion-resistant components, such as construction, marine, and chemical processing. By optimizing the WAAM process to produce DSS parts with balanced microstructures, manufacturers can create durable and efficient parts more cost-effectively and with less material waste than traditional methods. This advancement could lead to more sustainable manufacturing practices, reducing the environmental impact and operational costs associated with producing large metal components. Socially, the widespread adoption of this technology could drive innovation, create new job opportunities in advanced manufacturing, and contribute to the development of stronger, longer-lasting infrastructure and machinery, ultimately benefiting the economy and society at large.
Collaborations:
Dr V Balasubramanian,
Professor & Director,
Centre for Materials Joining & Research (CEMAJOR)
Annamalai University, Annamalai Nagar-608002, Tamilnadu.
Dr P Snehalatha,
Associate Professor & Head
Department of Mechanical Engineering,
Sri Padmavathi Mahila Visvavidyalam, Tirupati, Andhra Pradesh-517502, India.
Future Research Plans:
In our upcoming work, we will focus on developing Functionally Graded Materials (FGMs) using Wire Arc Additive Manufacturing (WAAM), combining nickel and stainless steel. This research aims to harness the unique properties of each metal to create components tailored for specialized applications requiring high performance. Key challenges include optimizing material interfaces, refining deposition processes, and ensuring robust structural integrity throughout production.
The link to the article– https://doi.org/10.1007/s13632-024-01089-8
- Published in Departmental News, Mechanical Engineering NEWS, News, Research News