KLEF Faculty and German Scientists Jointly Research Innovative Biosensors for Sepsis Detection
Their project, titled 'Development of an Electrochemical Biosensing Platform for Multiplexed Simultaneous Detection of Sepsis Biomarkers,' is funded under the Indo-German Science and Technology Centre (IGSTC) initiative. The goal is to develop a low-cost, portable, and rapid biosensor capable of detecting multiple sepsis biomarkers simultaneously. Early and accurate detection of sepsis—a life-threatening condition caused by the body's response to infection—is critical to reducing fatal outcomes, especially in emergency rooms and intensive care units.
The research has the potential to benefit a wide range of stakeholders. Patients and doctors in both rural and urban areas will gain access to quicker and more accurate diagnostic tools. Diagnostic laboratories and ICUs, which currently rely on expensive and time-consuming tests, can improve efficiency with this technology. Point-of-care providers in low-resource and developing regions will also benefit from affordable, reliable diagnostics. Moreover, the project opens up new opportunities for start-ups and healthcare industries working on biomedical devices.
One of the key goals is to develop a working prototype of the biosensor that can deliver results within minutes from a small blood sample. This will enable doctors to begin treatment sooner, increasing patient survival rates. In addition to the scientific innovation, the project encourages technology transfer and collaboration with start-ups, promoting entrepreneurship in the healthcare sector.
As part of the project, Dr. Anusha is scheduled to visit Germany in August 2025. During her stay, she will collaborate closely with the research team at TU Bergakademie Freiberg, share expertise, and work on accelerating the biosensor's development.
Commenting on this achievement, Er. Koneru Lakshman Havish, Vice President of KLEF Deemed to be University, said, 'We are extremely proud of our faculty's achievement. This international collaboration and joint research effort will significantly contribute to the rapidly growing field of biosensor technology. At KLEF, we are committed to fostering a vibrant research ecosystem and advancing innovative solutions that can transform healthcare. We believe in thriving through research excellence, academic rigor, and meaningful global partnerships.'
The Department of Chemistry at KLEF Deemed to be University continues to make notable contributions to interdisciplinary research. This latest initiative adds another milestone to its track record, marking a step forward in affordable healthcare diagnostics and showcasing the power of global partnerships in addressing life-threatening diseases like sepsis.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
The Hindu
2 days ago
- The Hindu
Assam researchers find fungal formula to produce biodiesel
GUWAHATI A team of researchers in Assam has found a fungal formula to produce clean fuel from a blend of oils, some edible. The team developed an efficient catalyst utilising 'spent mushroom substrate', a term used for the waste generated after mushrooms are harvested, to produce an alternative to fossil fuel from four different oils – jatropha, neem, soybean, and rice bran – mixed and stirred in equal ratio. The paper explaining the process was published in the latest issue of Bioresource Technology Reports. The authors of the study are Sujata Brahma and Sanjay Basumatary from Bodoland University's Department of Chemistry; Bipul Das from the Chemical Engineering Division of the Jorhat-based CSIR-North East Institute of Science and Technology; Biswajit Nath from the Department of Chemistry in Kokrajhar's Science College; Rebecca Daimari from Bodoland University's Department of Botany; and Raju Ali, Papia Das, Sharmistha Brahma Kaur, Jonali Owary, and Sandeep Das from Bodoland University's Department of Biotechnology. Assam begins eviction drive to clear encroached forest land on Nagaland boundary According to the study, a new catalyst was synthesised by converting powdered waste substrate of the Ganoderma lucidum mushroom into graphene oxide with the use of ferrocene, followed by its magnetisation and impregnation with potassium carbonate. This yielded a nanocomposite material, which was applied for the trans-esterification of the four-oil blend. Trans-esterification reactions involve the conversion of fats and oils into biodiesel. 'Biodiesel, commonly called fatty acid methyl ester (FAME), stands to fit the need for an environmentally benign and efficient alternative to fossil fuels. It is mainly synthesised by trans-esterification of triglycerides present in vegetable oil and animal fats with alcohol in the presence of a suitable catalyst,' Sandeep Das said. 'A catalyst is crucial for the trans-esterification to produce FAME. Heterogeneous catalysts are mostly recommended as they are easily recoverable, reusable, and inexpensive, with very little wastewater production, making researchers focus on waste biomass,' he said. The study outlined the global expansion of mushroom cultivation because of its rich nutritional content and medicinal benefits. 'Mushrooms are mostly cultivated on various agricultural wastes such as paddy straw, corn waste, sawdust, tea waste, sugarcane bagasse, fruits and vegetables peels, and onion wastes. The spent mushroom substrate or post-harvest waste is either dumped or incinerated and can create a major environmental concern,' the study noted, underscoring the advantages of utilising the waste for energy or fuel production. The researchers also emphasised the importance of blending edible and non-edible oils, including waste cooking oil, to produce biodiesel without triggering an edible oil crisis.
Time of India
04-08-2025
- Time of India
IIT Guwahati Researchers develop contactless voice recognition sensor for individuals with voice disabilities
Guwahati: Researchers at the Indian Institute of Technology Guwahati, in collaboration with Ohio State University, USA, have developed an underwater vibration sensor that enables automated and contactless voice recognition. It is indicated that this technology could offer an alternative communication method for individuals with voice disabilities who are unable to use conventional voice-based systems. The research findings have been published in Advanced Functional Materials, co-authored by Prof. Uttam Manna (Department of Chemistry), research scholars Debasmita Sarkar, Rajan Singh, Anirban Phukan, Priyam Mondal, and Prof. Roy P. Paily (Department of Electronics and Electrical Engineering) at IIT Guwahati, along with Prof. Xiaoguang Wang and Ufuoma I. Kara from The Ohio State University. According to the team, voice recognition technologies are widely used in smart devices today, yet they remain inaccessible to people with voice disorders. Recent studies suggest a considerable percentage of children and young adults between the ages of 3 and 21 experience some form of voice disability, highlighting the need for more inclusive communication tools . To address this gap, the researchers focused on the air expelled through the mouth during attempted speech. It is stated that even when sound is not produced, this exhaled air can disturb a water surface, creating subtle waves. The team's sensor, positioned just below the air-water interface, detects these minute vibrations and translates them into electrical signals. The sensor is made from a conductive, chemically reactive porous sponge and uses Convolutional Neural Networks (CNNs) to interpret the signal patterns. This AI-powered system allows for the recognition of attempted speech without sound, enabling hands-free communication with devices. It is noted that the prototype developed in the lab costs approximately ₹3,000, with ongoing research aimed at reducing costs through potential industry collaboration. According to the researchers, the device has shown durability in extended underwater use and could have broader applications, including in exercise tracking, movement detection, and underwater sensing. As a next step, the team intends to pursue clinical validation and expand their dataset by collecting samples from individuals with voice disabilities. This is expected to help refine the model to recognise specific words or phrases necessary for operating smart devices. Speaking about the developed sensor, Prof. Uttam Manna, Department of Chemistry, IIT Guwahati, said, 'It is one of the rare designs of material allowing to recognize voice based on monitoring the water wave formed at air/water interface because of exhaling air from mouth. This approach is likely to provide a viable solution for communication with those individuals with partially or entirely damaged vocal cords.'
Economic Times
04-08-2025
- Economic Times
IIT Guwahati develops deep learning-based sensor to turn exhaling air from mouth into voice commands
Guwahati: Indian Institute of Technology Guwahati researchers have developed an underwater vibration sensor that enables automated and contactless voice recognition. Conducted in collaboration with researchers from Ohio State University, USA, the developed sensor offers a promising alternative communication method for individuals with voice disabilities who are unable to use conventional voice-based systems. The findings of this research have been published in the prestigious journal Advanced Functional Materials, in a paper co-authored by Prof. Uttam Manna, Department of Chemistry, along with his research scholars Debasmita Sarkar, Rajan Singh, Anirban Phukan, Priyam Mondal, and Prof. Roy P. Paily, Department of Electronics and Electrical Engineering from IIT Guwahati, and Prof. Xiaoguang Wang along with Ufuoma I. Kara from The Ohio State University, USA. In recent years, voice recognition has become an integral part of modern life. It helps users in operating smart devices including mobile phones, home appliances and other devices through voice commands. However, for the people with voice disorders, this technological development remains inaccessible. Recent studies show that a noticeable percentage of children and young adults aged between 3 and 21 experience some form of voice disability, underscoring the significant need for more inclusive communication technologies. To address this limitation, the research team has found a solution by focusing on the exhale air through the mouth while we speak, a basic physiological function. In cases where individuals cannot produce sound, attempting to speak generate airflow from their lungs. When this air flows over a water surface, it produces subtle waves. The research team have developed an underwater vibration sensor which can detect these water waves and interpret speech signals without depending on audible voice, thus creating a new pathway for voice developed sensor is made from a conductive, chemically reactive porous sponge. When placed just below the air-water interface, it captures the tiny disturbances created by exhaled air and converts them into measurable electrical signals. The research team used Convolutional Neural Networks (CNN), a type of deep learning model, to accurately recognize these subtle signal patterns. This setup allows users to communicate with devices from a distance, without the need to generate about the developed sensor, Prof. Uttam Manna, Department of Chemistry, IIT Guwahati, said, 'It is one of rare design of material allowing to recognize voice based on monitoring the water wave formed at air/water interface because of exhaling air from mouth. This approach is likely to provide a viable solution for communication those individuals with partially or entirely damaged vocal cords.'As the next step, the research team plans to get clinical validation for the developed device. Further, the team plans to collect more datasets from individuals with voice disabilities who can articulate different words necessary for operating home appliances and other voice-commanded smart devices. Using these datasets, the research team will be able to refine the developed model for recognizing specific words or phrases when exhaled air is directed over a water development holds potential beyond voice recognition. Other than hands-free operation of various devices, the developed sensor can also be used in exercise tracking and movement detection. Additionally, its proven durability, remaining stable after extended underwater use, suggests potential applications in underwater sensing and communication.
