Month: August 2024

Mohali, an autonomous institute of the Department of Science and Technology, synthesized a highly water-stable ultrathin Ni-BTC nanosheet with a thickness of about 4.15 nm. The 2D oxide sacrifice approach demonstrated exceptional sensitivity in detecting aliphatic amines and ammonia in aqueous medium through a unique “turn-on” fluorescence process in these MOF nanosheets, which is rare. The researchers used these to create a mixed matrix membrane of MOF nanosheets that showed a colour change visible to the naked eye in the presence of NH3 and aliphatic amines. The colour change response…

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Researchers at the Centre for Nano and Soft Matter Sciences (CeNS), an autonomous institute of the Department of Science and Technology, in collaboration with scientists from the National Chemical Laboratory (CSIR-NCL), Pune, have developed a safety warning system based on piezoelectric polymer nanocomposites. The development was based on the discovery that metal oxide nanomaterials with suitable crystal structure and surface properties when used as fillers in polymer composites significantly enhance the piezoelectric response. Energy generation and harvesting from readily available sources is important in today's world. Mechanical energy is an…

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Ministry of Coal has achieved growth in overall coal production till 25th August, 2024. Cumulative coal production upto 25.08.24 for FY 2024-25 has increased significantly to 370.67 million tonnes as on 25.08.24 as compared to 346.02 million tonnes produced during the same period in FY 2023-24. Besides, total movement of coal has also witnessed a significant increase, reaching 397.06 million tonnes upto 25th August, 2024 for FY 2024-25, registering a growth rate of 5.48% as compared to last year’s movement of 376.44 million tonnes. This high coal stock position reflects…

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Scientists have developed an affordable, user-friendly, portable smartphone-based fluorescence turn-on sensor system that can help in the prevention of Parkinson's disease. This sensor will help in accurately detecting the concentration of L-dopa in the body, thereby helping in determining the exact dosage required for effective prevention of this disease. Parkinson's disease is characterized by a steady deterioration in neuron cells which leads to a significant decrease in the levels of dopamine (neurotransmitter) in our body. L-dopa is a chemical that gets converted into dopamine in our body, hence it acts…

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Machine learning techniques used by scientists for modelling crustal deformations on the Tibetan Plateau have helped predict the velocity vectors of such movements and enhance characterisation of plate movements. Typically, a dense network of continuously operating reference stations (CORS) is created to continuously monitor crustal deformation. Campaign-mode GPS surveys are often used to densify existing CORS networks. Installing stations at the desired location can be very challenging due to logistics problems and regional geographic importance. Moreover, the process is expensive, and studies on crustal activity are often hampered by data…

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