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101.
Camphor soot: A Tunable Light Emitter
Mohanachandran Nair Sindhu Swapna, SARITHA DEVI H V, Sankararaman S, 2018, original scientific article

Abstract: The work in this paper is the first report on the green synthesis of the blue light emitter from waxy, flammable solid collected from Cinnamomum camphora by controlled combustion for photonic applications. Analysis with field emission scanning electron microscope and high-resolution transmission electron microscope provides the morphology, whereas the thermo-gravimetric analysis gives the thermal stability of the soot. The optical and structural characterizations are done by recording UV–Visible, Photoluminescent, and Raman Spectrum. The CIE plot and the power spectrum of the sample show a blue emission at an excitation of 350 nm at room temperature with a quantum yield of 46.15%. The dependence of luminescent behavior on temperature and excitation wavelength reveals that the material is a tunable blue emitter. This green synthesis of the blue light emitter is highly significant, when the world is in search of a simple, phosphor-free, non-toxic, cost-effective material with good quantum efficiency
Keywords: camphor, soot, blue light emitter
Published in RUNG: 30.06.2022; Views: 1023; Downloads: 0
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102.
Particulate Exhaust Analysis from Internal Combustion Engines
Mohanachandran Nair Sindhu Swapna, 2017, short scientific article

Abstract: Today the world is worried over the particulate emission from various forms of internal combustion engines. The present work is an attempt to understand the constituents of the particulate emission and its possible use. The particulate exhaust matter containing carbonaceous soot produced from the combustion of fuel containing hydrocarbons shows the presence of significant amount of carbon Nanomaterials. Hydrocarbons are the most widespread precursors among carbon sources employed in the production of carbon nanotubes (CNTs) and carbon nanoparticles (CNPs). Carbon nanotubes find application in fuel cells providing improved performance. The soot particles collected from the internal combustion diesel engines are cleaned, powdered and analyzed by various techniques. The CNPs are characterized by Field Emission Scanning Electron Microscopy (FESEM), X-Ray Powder Diffraction (XRD), Energy Dispersive X ray diffraction (EDS), Raman Spectroscopy, Photoluminescence spectroscopy (PL), Power spectrum and CIE plot. X Ray Diffraction and Raman spectroscopic analysis show the presence of carbon nanotubes in the amorphous materials.
Keywords: HydrocarbonsL Carbon nanotubes, Diesel engines, CIE plot, EDX, Raman spectroscopy
Published in RUNG: 30.06.2022; Views: 1093; Downloads: 0
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103.
Ultraviolet Protection Action of Carbon Nanoparticles in Leaves
Mohanachandran Nair Sindhu Swapna, 2017, original scientific article

Abstract: Carbon nanoparticles (CNPs) have been explored widely in many fields of science and technology owing to its unique physical, chemical, mechanical, and biological properties. The interaction of the visible region of the electromagnetic radiation with plants and their role in photosynthesis is well studied. The antenna pigments in the protein matrix of thylakoid play a significant role in energy transport mechanism involved in photosynthesis. The energy absorbed by the proteins in the UV region also involves in the energy transport. The present work is aimed to understand the absorption of radiation by leaves in the ultraviolet (UV) region and the impact of CNPs produced by internal combustion diesel engines (ICE) in altering the absorbance level. The effect of CNPs is found to lower the UVabsorbance by leaves and thus acting as UV shield, protecting the leaves from cell damages. The characterization of the CNP and leaves is done by field emission scanning electron microscope (FESEM) and UV-visible spectrophotometer.
Keywords: Ultraviolet, Carbon nanoparticles, Photosynthesis, Internal combustion engine
Published in RUNG: 30.06.2022; Views: 1114; Downloads: 0
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104.
Photoacoustics - A nondestructive evaluation technique for thermal and optical characterisation of metal mirrors
Mohanachandran Nair Sindhu Swapna, NAMPOORI V P N, Sankararaman S, 2018, original scientific article

Abstract: Photoacoustic technique has emerged as a powerful tool for nondestructive evaluation and characterization. The high signal to noise ratio, sensitivity, and the least quantity of sample required make the technique suitable for wide range of applications. The intensity modulated laser beam focused on to the sample in the photoacoustic cell generates acoustic waves. Analysis of the acoustic signal enables the measurement of thermal and optical properties of the material. In the present work, the photoacoustic technique has been extended to find the thermal diffusivity and to demonstrate how the technique can be used for measuring optical reflection coefficient of a precious metal mirror—Aranmula mirror. The mirror being metal with high reflection coefficient, it finds application in optical instrumentation. The mirror is subjected to morphological characterization by atomic force microscopy and field emission scanning electron microscopy. The elemental and structural characterizations are done by energy dispersive x-ray spectroscopy, X-ray dot mapping, and X-Ray diffraction analysis. The fractal dimension of the particle distribution over the surface provides information about the surface roughness. The box-counting and power spectral fractal dimensions are found to be around 1.63 and 1.65 respectively.
Keywords: Photoacoustics, Nondestructive evaluation, Aranmula metal mirror, Reflectivity
Published in RUNG: 30.06.2022; Views: 1420; Downloads: 0
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105.
Study of Drug Diffusion rate by beam deflection technique
Mohanachandran Nair Sindhu Swapna, 2017, original scientific article

Abstract: Drug administration is an unavoidable part of treatment. When a drug is administered orally or intravenously, it gets absorbed into the blood stream. The rate and efficiency of absorption depend on the route of administration. When a drug is administered through the oral route, it penetrates the epithelial cells of the intestinal mucosa. The diffusion of the drug into the blood stream depends on various parameters, such as concentration, temperature, and the nature of the mucous membrane. The passive diffusion of drugs is found to obey Fick’s law. Water soluble drugs penetrate the cell membrane through aqueous channel or pores. Hence, the study of diffusion of drugs into the water and finally into the blood stream is important. An attempt has been made to study the diffusion of the drug in water as 60% to 80% of human body is water. For the study of drug diffusion in water, a commonly used cough syrup of specific gravity 1.263 is used. It is found that the diffusion rate increases with the concentration of the drug.
Keywords: laser beam deflection, diffusion coefficient, Fick’s law, sodium chloride, syrup
Published in RUNG: 30.06.2022; Views: 1145; Downloads: 0
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106.
Fractal and fingerprint analysis through phase embedded diffraction pattern
Mohanachandran Nair Sindhu Swapna, 2017, original scientific article

Abstract: Fingerprint recognition is the most popular biometric identification method currently employed in security applications. Though there are several optical methods for fingerprint analysis based on intensity recording, phase recording alone can give the precise result. Interference and diffraction phenomenon are capable of recording phase variations. In the present method diffraction patterns corresponding to the fingerprints are generated and the spacing between the ridges is calculated. The spacing between ridges is found to be in agreement with the value measured using the software ImageJ. The fingerprint impressions of more than thirty-five persons are recorded and analyzed using the statistical tools in Matlab.The fingerprints are also subjected to fractal analysis. The program could successfully identify a fingerprint from the database. The present work is the first report of fingerprint analysis from diffraction pattern
Keywords: Diffraction, Skew, Kurtosis, Fractals
Published in RUNG: 30.06.2022; Views: 1054; Downloads: 0
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107.
Carbon Nanonecklaces with Carbon Nanotubes and Carbon Dots
Mohanachandran Nair Sindhu Swapna, Sankararaman S, 2017, original scientific article

Abstract: Carbon nanoparticles (CNP) have gained significant attention representing unique carbon-based nanomaterials that find applications in various fields of science and technology. Carbon nanotubes (CNTs) and carbon dots (CDs) have now been widely employed as an electrode in super capacitors, as fluorescent nanomaterials for imaging and for fuel cell applications. In the present work, we describe a simple, low cost and chemical free method of synthesizing stable CNPs aligned in the form of a chain popularly known as carbon necklace with CNTs and CDs. Carbon nanoparticles are synthesized by controlled combustion of camphor in a single step flame process. The CNPs synthesized are characterized using X-ray Powder diffraction (XRD), Raman Spectroscopy, Energy Dispersive X ray diffraction (EDX), Fourier Transform Infrared Spectroscopy (FTIR), UV-Visible absorption and Photoluminescent (PL) Spectroscopy. The morphology and size of the CNPs are examined using Field Emission Scanning Electron Microscope (FESEM) which shows ‘necklace’ structure. The CNPs are collected at two different heights and the particles formed are found in the range 30 to 60 nm. The UV- Visible and PL Spectra of the CNPs obtained show the presence CDs. The Raman Spectroscopic and XRD analysis indicate the presence of CNTs in the sample.
Keywords: Carbon nanoparticles, Combustion, Carbon nanotubes, Carbon dots, Carbon necklaces
Published in RUNG: 30.06.2022; Views: 1179; Downloads: 0
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108.
Investigation of graphene oxide in diesel soot
Mohanachandran Nair Sindhu Swapna, Sankararaman S, 2017, original scientific article

Abstract: Graphene has emerged as a potential material in various scientific disciplines, ranging from material science, engineering, and more recently biomedicine. The paper describes the investigation of the presence of graphene and graphene oxide (GO) in the carbon soot of internal combustion diesel engines. The UV-Visible, Fourier transform infrared (FTIR), X- ray diffraction (XRD), Photoluminescent (PL) and Raman spectroscopic analysis of the sample provided a conclusive evidence of the formation of graphene and GO. The Field Emission Scanning Electron Microscopy (FESEM) and Energy Dispersive Spectrum (EDX) of the sample show carbon nanoparticles (CNPs) of size less than 50nm. The High -Resolution Transmission Electron Microscopy (HR-TEM) analysis confirmed the formation of graphene sheets with carbon nanospheres attached to it. The study reveals the possible exploitation of the diesel soot for potential applications in science and technology
Keywords: Graphene, Graphene oxide, Carbon nanoparticles, Combustion, Carbon nanotube
Published in RUNG: 30.06.2022; Views: 1218; Downloads: 0
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109.
Synthesis and Characterization of Carbon Nano Kajal
Mohanachandran Nair Sindhu Swapna, 2017, short scientific article

Abstract: Carbon nanoparticles are of considerable interest today because of their unique physical and biological properties. There are several methods of preparation of Carbon Nanoparticles (CNP) with high efficacy and low toxicity. In this paper we describe a simple low cost synthesis of carbon nanoparticle. We present a simple method for the synthesis of carbon nanoparticles from the controlled combustion of coconut oil and ghee. The antibacterial property of CNP enables its use in kajals. The FESEM image of the sample prepared exhibit carbon nanoparticles of size less than 50nm
Keywords: Kajal, carbon nanoparticles, soot
Published in RUNG: 30.06.2022; Views: 1032; Downloads: 0
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110.
Complex network-based cough signal analysis for digital auscultation: a machine learning approach
Mohanachandran Nair Sindhu Swapna, 2022, original scientific article

Abstract: The paper proposes a novel approach to bring out the potential of complex networks based on graph theory to unwrap the hidden characteristics of cough signals, croup (BC), and pertussis (PS). The spectral and complex network analyses of 48 cough sounds are utilized for understanding the airflow through the infected respiratory tract. Among the different phases of the cough sound time-domain signals of BC and PS – expulsive (X), intermediate (I), and voiced (V) - the phase ‘I’ is noisy in BC due to improper glottal functioning. The spectral analyses reveal high-frequency components in both cough signals with an additional high-intense low-frequency spread in BC. The complex network features created by the correlation mapping approach, like number of edges (E), graph density (G), transitivity (), degree centrality (D), average path length (L), and number of components () distinguishes BC and PS. The higher values of E, G, and for BC indicate its musical nature through the strong correlation between the signal segments and the presence of high-intense low-frequency components in BC, unlike that in PS. The values of D, L, and discriminate BC and PS in terms of the strength of the correlation between the nodes within them. The linear discriminant analysis (LDA) and quadratic support vector machine (QSVM) classifies BC and PS, with greater accuracy of 94.11% for LDA. The proposed work opens up the potentiality of employing complex networks for cough sound analysis, which is vital in the current scenario of COVID-19.
Keywords: Complex network analysis, Auscultation, Croup cough, Pertussis Spectral analysis, Machine learning techniques
Published in RUNG: 30.06.2022; Views: 1331; Downloads: 0
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