Planned fashion obsolescence in the light of supply chain uncertainty
Artificial intelligence; Circular economy; Fast fashion; Media; Supply Chain uncertainty
Fast fashion has popularised the phenomenon of perceived obsolescence whereby customers try to stay in line with the current fashion trends in the market even though the apparel they own are in perfect condition. This has ultimately led the fashion industry to become the second largest polluter in the world. The primary objective of this research paper is to comprehend how the media manoeuvres customers to indulge in fast fashion and how that in turn leads to uncertainty in the supply chain. To understand this, a maximum variation sampling method was adopted which consisted of customers, supply chain partners and marketers. In order to draw a parallel between the variables researched in the past and the present day scenario, an interview schedule was employed. Through the variables selected with the help of Dedoose, a model was created to identify the hurdles faced by suppliers as well as the customer in the fast fashion cycle. The results found that the power to break the fast fashion phenomenon lay in the hands of the media as it is through them that customers' perception can be altered. The importance of artificial intelligence in SCM and the modern tools used in industry 4.0 have also been discussed. 2020 Allied Business Academies.
Academy of Strategic Management Journal, Vol-19, No. 1, pp. 1-17.
Philip R.S., CHRIST (Deemed to be University), India; Anian A.M., CHRIST (Deemed to be University), India; Raja A.S.M., CHRIST (Deemed to be University), India
Plano framework for graph indexing - A statistical analysis
Graph Mining is becoming one of the most dominant fields of research. There are plenty methods to index, re-index and to search the features throughout the index but still from the literature study there is no specific frame work which can sum up all three so that indexing and updating the index with new feature can be done in consistent intervals according to the arrival of new features. PLANO is the frame work which has the latest algorithms to look into the data and index. In this paper, Time and Memory efficiency of the proposed algorithms in the PLANO framework is tested statistically and compared with the existing algorithms memory and time usage. Research India Publications.
Pankaj Moses Monickaraj A.; Raj Kumar J.B.; Vivekanandan K.; Boopalan E.D.
International Journal of Applied Engineering Research, Vol-10, No. 12, pp. 31613-31628.
Pankaj Moses Monickaraj A., Dept. of Computer Science and Engg, Christ University, India; Raj Kumar J.B., Dept. of Computer Science and Engg, Bharathiar University, India; Vivekanandan K., BSMED, Bharathiar University, India; Boopalan E.D., Dept. of Statistics, Bharathiar University, India
Plant Disease Detection and Classification using Emperor Penguin Optimizer (EPO) based Region Convolutional Neural Network (RCNN)
computer vision; crop yield; deep learning (DL); Emperor Penguin Optimizer (EPO); Plant Disease Detection; Region Convolutional Neural Network (RCNN)
Agriculture stands as India's most crucial industry, despite grappling with a 35% annual loss in crop yield attributed to plant diseases. Traditionally, the detection of plant diseases has been a laborious process, hampered by insufficient laboratory infrastructure and expert knowledge. Plant disease detection methods that are automated provide a useful way to expedite the labor-intensive process of keeping an eye on large-scale agricultural fields and recognizing disease symptoms as soon as they appear on plant leaves. Current developments in deep learning (DL) and computer vision have highlighted the benefits of creating autonomous models for plant disease identification based on visible symptoms on leaves. In this study, we propose a novel method for detecting and classifying plant diseases by combining the Emperor Penguin Optimizer (EPO) with a Region Convolutional Neural Network (RCNN). The suggested methodology uses EPO to improve the discriminative power of features extracted from plant pictures, allowing for a more robust and accurate classification procedure. The Classification Region Convolutional Neural Network (RCNN) is used to leverage spatial correlations within the image, allowing for exact disease region localization. The goal of this integration is to increase the overall efficiency and dependability of plant disease detection systems. The investigations made use of the well-known PlantVillage dataset, which comprises 54,305 data of different plant disease types in 38 categories. Furthermore, an analysis was carried out in comparison with similar advanced investigations. According to the experiment results, RCNN-EPO outperformed in terms of classification accuracy, achieving 94.552%. 2024 IEEE.
Shanbhog M.; Bhatia N.; Singh A.S.; Pavithra M.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Institute of Electrical and Electronics Engineers Inc.
Shanbhog M., Christ (Deemed to Be University), School of Sciences, Department of Computer Science, Delhi NCR, India; Bhatia N., Panipat Institute of Engineering and Technology, Department of Information Technology, Haryana, Panipat, India; Singh A.S., MIT-ADT, School of Computing, Department of Information and Technology, Maharashtra, Pune, India; Pavithra M., Panimalar Engineering College, Department of Computer Science and Business Systems, Chennai, India
Plant disease diagnosis and solution system based on neural networks
Convolutional Neural Network (CNN); Image Processing; MobileNet
Plant diseases are one of the major factors affecting crop yield. Early identification of these diseases can improve productivity and save money and time for the farmer. This paper presents a novel technique to diagnose plant diseases using a mobile application. A Convolutional Neural Network (CNN) model was built and trained using MobileNetV2 architecture with the help of image processing techniques and transfer learning. A dataset comprising 87,000 images that contain 38 classes of diseases belonging to 14 different crops was used to train the model. The model achieved an accuracy of 98.69% and a loss of 0.5373. A mobile application was built in Android Studio with the help of a trained model. The mobile application built works without a need for a remote server. The application can identify the disease, gives information regarding the identified disease and also suggests necessary remedies to tackle the disease. 2021, Engg Journals Publications. All rights reserved.
Megha Chandra Reddy N.V.; Ashish Reddy K.; Sushanth G.; Sujatha S.
Indian Journal of Computer Science and Engineering, Vol-12, No. 4, pp. 1084-1092.
https://doi.org/10.21817/indjcse/2021/v12i4/211204226 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119658973&doi=10.21817%2findjcse%2f2021%2fv12i4%2f211204226&partnerID=40&md5=0d91ba4781d9fcfc1e7e44374406bf5f
Megha Chandra Reddy N.V., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India; Ashish Reddy K., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India; Sushanth G., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India; Sujatha S., Department of Electronics and Communication Engineering, School of Engineering, CHRIST University, Bangalore, Karnataka, India
Plant extract aided synthesis of iron sulphide/nickel sulphide type-II heterostructure for photochemical CO2 reduction and simultaneous degradation of dyes
CO2 reduction; Dyes; FeS/NiS heterostructure; Green synthesis; Photocatalysis; Type II; Waste to wealth
The green synthetic route, solving issues in the energy sector and the removal of wastes for a clean environment are the major concerns across the globe for a sustainable future. The current work involves the synthesis of iron sulphide (FeS), nickel sulphide (NiS) and FeS/NiS heterostructure using a Calotropis procera leaf and flower extract as a reducing agent without any additional sulphur source. Structural optical, photo/electrochemical and morphological characterizations suggest the formation of a heterostructure between FeS and NiS of type II with tuned edge potentials. Due to which FeS/NiS showed enhanced activity in evolving CO and CH? through photoctalytic CO2 reduction reaction (CRR) and was found to be 2.5 and 2 times higher than FeS and NiS, respectively. Further, all three materials were studied for photocatalytic degradation of two cationic dyes (methylene blue: MB and safranin O: SO) under different light sources. The % degradation of dyes MB and SO was found to be 98 and 96 %, respectively, in the presence of FeS/NiS heterostructure under sunlight. The factors affecting the dye degradation (pH, initial concentration, catalyst dosage) were optimized to achieve maximum efficiency. The degradation study using FeS/NiS was additionally examined in industrial effluent and the simultaneous degradation of MB and SO and the results are satisfactory. Photocatalytic mechanism was predicted based on the degradation results using liquid chromatography mass spectrophotometry (LCMS). The decreased charge transfer resistance, superior photocurrent response, bandgap tuning, shift in edge potentials, and formation of heterostructure and effective charge separation could be attributed to the appreciable efficiency of FeS/NiS. This work may lead to further research on the formation of metal sulfide-based heterostructures using a green approach and their application towards waste reduction and converting them to wealth towards energy and environmental remediation. 2025 Elsevier Ltd
Poornima, G.S.; Prashanth, M.K.; Shanavaz, H.; Rajappa, Shwetha; Alharethy, Fahd; Kumar, K. Yogesh; Yadav, Krishna Kumar; Jeon, Byong-Hun; Raghu, M.S.
Journal of Environmental Chemical Engineering;Volume;13;Issue;2;Article No.;115854;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1016/j.jece.2025.115854 https://www.scopus.com/pages/publications/85218268508?origin=resultslist
Poornima G.S., Department of Chemistry, New Horizon College of Engineering, Outer Ring Road, Bangalore, 560103, India; Prashanth M.K., Department of Chemistry, BNM Institute of Technology, Banashankari, Bangalore, 560070, India; Shanavaz H., Department of Chemistry, Faculty of Engineering and Technology, Jain University, Bangalore, 562112, India; Rajappa S., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST University, Mysore Road, Karnataka, Bangalore, 560074, India; Alharethy F., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Kumar K.Y., Department of Chemistry, Faculty of Engineering and Technology, Jain University, Bangalore, 562112, India; Yadav K.K., Faculty of Science and technology, Madhyanchal Professional University, Ratibad, MP, Bhopal, 462044, India; Jeon B.-H., Department of Earth Resources and Environmental Engineering, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea; Raghu M.S., Department of Chemistry, New Horizon College of Engineering, Outer Ring Road, Bangalore, 560103, India
Plant Identification Using Fitness-Based Position Update in Whale Optimization Algorithm
Bag-of-features; Feature optimization; Nature-inspired algorithm; Plant leaf classification; Swarm intelligence
Since the beginning of time, humans have relied on plants for food, energy, and medicine. Plants are recognized by leaf, flower, or fruit and linked to their suitable cluster. Classification methods are used to extract and select traits that are helpful in identifying a plant. In plant leaf image categorization, each plant is assigned a label according to its classification. The purpose of classifying plant leaf images is to enable farmers to recognize plants, leading to the management of plants in several aspects. This study aims to present a modified whale optimization algorithm and categorizes plant leaf images into classes. This modified algorithm works on different sets of plant leaves. The proposed algorithm examines several benchmark functions with adequate performance. On ten plant leaf images, this classification method was validated. The proposed model calculates precision, recall, F-measurement, and accuracy for ten different plant leaf image datasets and compares these parameters with other existing algorithms. Based on experimental data, it is observed that the accuracy of the proposed method outperforms the accuracy of different algorithms under consideration and improves accuracy by 5%. 2022 Tech Science Press. All rights reserved.
Altameem A.; Kumar S.; Poonia R.C.; Saudagar A.K.J.
Computers, Materials and Continua, Vol-71, No. 2, pp. 4719-4736.
https://doi.org/10.32604/cmc.2022.022177 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122756654&doi=10.32604%2fcmc.2022.022177&partnerID=40&md5=cf7737cdb69b7e6cf74c9d7fb5276c2a
Altameem A., Department of Computer Science, College of Applied Studies, King Saud University, Riyadh, 11495, Saudi Arabia; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia
Plant Leaf Disease Classification Using Optimal Tuned Hybrid LSTM-CNN Model
CNN; Deep Learning; Hybrid classifier; LSTM; SISS-OB
Tomatoes are widely cultivated and consumed worldwide and are susceptible to various leaf diseases during their growth. Therefore, early detection and prediction of leaf diseases in tomato crops are crucial. Farmers can take proactive measures to prevent the spread and minimize the impact on crop yield and quality by identifying leaf diseases in their early stages. Several Machine Learning (ML) and Deep Learning (DL) frameworks have been developed recently to identify leaf diseases. This research presents an efficient deep-learning approach based on a hybrid classifier by optimizing the CNN and LSTM models, which helps to enhance classification accuracy. Initially, Median Filtering (MF) is used for leaf image pre-processing. Then, an improved watershed approach is used for segmenting the leaf images. Subsequently, enhanced Local Gabor Pattern (LGP) and statistical and color features are extracted. An optimized CNN and LSTM are used for classification, and the weights are tuned using the SISS-OB (Self Improved Shark Smell With Opposition Behavior) algorithm. Finally, we have analyzed the performance using various measures. Since we have done segmentation, feature extraction, and optimization improvisations, our proposed methodology results are higher than other available methods and existing works. The results obtained at Learning Percentage (LP) is 90% which is far superior to those obtained at other LPs. The FNR (False Negative Rate) is much lower (0.05) at the 90th LP. The proposed model achieved better classification performance in terms of Accuracy of 97.13%, Sensitivity of 95.09%, Specificity of 95.24%, Precision of 94.31%, F measure of 96.71% and MCC 87.34%. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
Patil M.A., Department of Computer Science and Engineering, Christ (Deemed to be University) School of Engineering and Technology, Kengeri, Karnataka, Bengaluru, 560074, India, Department of Computer Science and Engineering, G. Narayanamma Institute of Technology and Science, Shaikpet, Telangana, Hyderabad, 500104, India; Manohar M., Department of Computer Science and Engineering, Christ (Deemed to be University) School of Engineering and Technology, Kengeri, Karnataka, Bengaluru, 560074, India
Plant Secondary Metabolites: The Weapons for Biotic Stress Management
aposematic signals; biopesticides; biotic stress; companion farming; feeding deterrents; metabolomics engineering; plant secondary metabolites
The rise in global temperature also favors the multiplication of pests and pathogens, which calls into question global food security. Plants have developed special coping mechanisms since they are sessile and lack an immune system. These mechanisms use a variety of secondary metabolites as weapons to avoid obstacles, adapt to their changing environment, and survive in less-than-ideal circumstances. Plant secondary metabolites include phenolic compounds, alkaloids, glycosides, and terpenoids, which are stored in specialized structures such as latex, trichomes, resin ducts, etc. Secondary metabolites help the plants to be safe from biotic stressors, either by repelling them or attracting their enemies, or exerting toxic effects on them. Modern omics technologies enable the elucidation of the structural and functional properties of these metabolites along with their biosynthesis. A better understanding of the enzymatic regulations and molecular mechanisms aids in the exploitation of secondary metabolites in modern pest management approaches such as biopesticides and integrated pest management. The current review provides an overview of the major plant secondary metabolites that play significant roles in enhancing biotic stress tolerance. It examines their involvement in both indirect and direct defense mechanisms, as well as their storage within plant tissues. Additionally, this review explores the importance of metabolomics approaches in elucidating the significance of secondary metabolites in biotic stress tolerance. The application of metabolic engineering in breeding for biotic stress resistance is discussed, along with the exploitation of secondary metabolites for sustainable pest management. 2023 by the authors.
Al-Khayri J.M.; Rashmi R.; Toppo V.; Chole P.B.; Banadka A.; Sudheer W.N.; Nagella P.; Shehata W.F.; Al-Mssallem M.Q.; Alessa F.M.; Almaghasla M.I.; Rezk A.A.-S.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.3390/metabo13060716 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163707067&doi=10.3390%2fmetabo13060716&partnerID=40&md5=f8c5072a3e531b28ff938ff32c2a1241
Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Rashmi R., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Toppo V., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Chole P.B., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Banadka A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Sudheer W.N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India; Shehata W.F., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Al-Mssallem M.Q., Department of Food Science and Nutrition, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Alessa F.M., Department of Food Science and Nutrition, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Almaghasla M.I., Department of Arid Land Agriculture, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia, Plant Pests, and Diseases Unit, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Rezk A.A.-S., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia, Department of Virus and Phytoplasma, Plant Pathology Institute, Agricultural Research Center, Giza, 12619, Egypt
Plant- based Metabolites as Source of Antimicrobial Therapeutics: Prospects and Challenges
Plants are used as traditional medicines from ancient times to today as they are the largest living storehouses of bio- chemicals and pharmaceuticals known on Earth (Abdallah, 2011). The World Checklist of Vascular Plants (WCVP) database reported in April 2021 that there are 1,383,297 plant names with 996,093 plants identified at species level, constituting 342,953 accepted vascular plant species (Govaerts et al., 2021). Around 10% of the reported vascular plants are used as medicines (Salmer- Manzano et al., 2020). According to the MPNS, 33,443 species are recorded as being used for medicinal purpose (MNPS, 2021). Medicinal plants are those that have therapeutic properties which can pose pharmacological effect on the human or animal body (Namdeo, 2018). About 80% of the world's population depends on plant- based medicine for treatment of diseases (Okoye et al., 2014). The medicinal property of a plant is attributed to rich and diverse secondary metabolites (Allemailem, 2021). Secondary metabolites are intermediates or products of primary metabolism that are not involves directly in the growth and development of the plant (Jain et al., 2019). Plants generate secondary metabolites in response to stresses posed by biotic factors (bacteria, fungi, viruses, parasites, pests, weeds, and herbivore animals) and abiotic environmental factors (temperature, salinity, drought, UV radiation etc.) so as to adapt and survive in response to environmental stimuli during their life time (Yang et al., 2018). 2023 selection and editorial matter, Arti Gupta and Ram Prasad; individual chapters, the contributors.
Praveen N.; Preetha R.S.T.; Pagare V.; Devasia J.; Nizam A.; Mukherjee E.; Vasantha V.L.; Al-Khayri J.M.
Antimicrobials in Pharmaceutical and Medicinal Research, pp. 165-202.
Praveen N., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Preetha R.S.T., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Pagare V., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Devasia J., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Mukherjee E., Amity Institute of Biotechnology, Amity University, Noida, India; Vasantha V.L., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia
Plant-Derived Nanocellulosic Material: A Promising Technology Application in Environmental Bioremediation
Adsorbent; Environmental remediation; Heavy metal; Nanocellulose; Nanomaterials
Nanocellulose (NC) polymers derived from plant sources are gaining enormous interest in environmental remediation owing to their low cost and potential for renewable adsorption. Plant-derived nanocellulose is applied in waste water treatment because of its unique features and functionality. The word nanocellulose refers to cellulosic materials having a dimension of nanoscopic scale/or nanoscale. One such nanomaterial is a cellulose-based material with a well-aligned nanocellulose composition indicating its structural hierarchy. Nanocellulose has been recognized as a remarkable natural biomaterial adsorbent which is obtained from renewable sources such as wood, plants, fruit peel, can be found abundantly on earth, and biodegradable and can be easily used in the surface fabrication. Due to its increased surface area, nanocellulose has gained considerable advantage over conventional cellulose fibers. Application of nanocellulosic material in environmental remediation and wastewater treatment has recently emerged as a potential adsorbent generating, and aroused much attention in addressing the environmental issue. Nanocellulose may adsorb a wide range of contaminants, such as heavy metals, dissolved pollutants (organic), dyes, petroleum oil, and unwanted effluents. This review provides focus on the structure, properties, isolation, and adsorbent classes of nanocellulosic materials, as well as their applications in environmental remediation. 2025 by Apple Academic Press, Inc.
Brijesh H.; Ajjappala B.; Chatterjee A.; Manjunath R.; Siddappa H.B.; Mayegowda S.B.
Sustainable Nanoremediation: Modern Technologies for a Clean Environment, pp. 391-409.
Brijesh H., Department of Biotechnology, School of Applied Sciences, REVA University, Karnataka, Bangalore, India; Ajjappala B., Department of Plant Biotechnology, University of Agricultural Sciences, GKVK, Karnataka, Bangalore, India; Chatterjee A., Department of Biotechnology, School of Applied Sciences, REVA University, Karnataka, Bangalore, India; Manjunath R., Department of Biotechnology, School of Applied Sciences, REVA University, Karnataka, Bangalore, India; Siddappa H.B., Department of Biotechnology, University of Horticultural Sciences, Karnataka, Bangalore, India; Mayegowda S.B., Department of Psychology, Christ University, Karnataka, Bengaluru, India
Plant, Animal, and Microbial Sources of Dyes and Mordants
biocolors; dye sensitized solar cells; ecofriendly dyes; food industry; global demand; mordants; nutritional supplements; pharmaceutical industry; teratogenicity
Synthetic dyes and mordants have been used by various industries, including food, cosmetics, textiles, and pharmaceuticals, for many decades. However, their potential hazards to the environment and human health, such as carcinogenicity and teratogenicity, have raised global concerns. In earlier decades, people used naturally extracted dyes and mordants from plants and insects for purposes like painting, dyeing clothes, and enhancing skin and hair, using substances like henna, turmeric, and saffron. However, chemically synthesized dyes quickly replaced natural dyes due to their easy availability and low cost. Currently, consumers are becoming more conscious of the use of synthetic dyes and their effects, which can cause allergies and toxicity. This has led to a resurgence of eco-friendly dyes and biocolors, which have gained importance. There has been advanced and increased development in utilizing naturally occurring bioresources to produce sustainable biocolors with multifunctional applications. Natural colors have not only increased their market value due to their aesthetic appeal but also for their various properties, including antibacterial, antiviral, anticancer, anti-inflammatory, and antioxidant effects. Indeed, biocolors derived from plants, animals, and microorganisms have better degradability and compatibility with the environment. These naturally occurring pigments need to be explored from various natural sources to meet the increasing global demand, using suitable techniques for their extraction. 2025 Apple Academic Press, Inc.
Mayegowda S.B.; Chikkud V.; Barua S.; Manjula N.G.
Advances in Natural Dyes for Environmental Protection: Degradation and Remediation, pp. 61-95.
Mayegowda S.B., Department of Psychology, CHRIST (Deemed to be University), Kengeri Campus, Kumbalgodu, Kanmanike, Karnataka, Bangalore, India; Chikkud V., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bangalore, India; Barua S., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bangalore, India; Manjula N.G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bangalore, India
Plasma sprayed magnesium aluminate and alumina composite coatings from waste aluminum dross
Alumina; Aluminum dross; Industrial waste utilization; Magnesium aluminate; Oxide beneficiation; Thermally insulating coatings
The absence of structured waste management practices for tons of black aluminum dross (Al-dross) when land-filled affects the ecosystem we live in. Researchers and technologists are now working towards three goals (a) minimization of Al-dross production (b) reducing its toxic effects on the environment and (c) treating the Al-dross to beneficiate useful materials from it in an environmentally friendly manner and to generate useful industrial products. The third aspect has been addressed in this study. Al-dross is an aluminum industry generated waste that mainly contains Al metal (oxidized during processing), Aluminum Nitride (AlN), ?-aluminum oxide (?-Al2O3) and magnesium aluminate (MgAl2O4). The oxides are highly suitable for refractory and thermally insulating material applications, but AlN is detrimental for two reasons - (a) thermal conductivity higher than the oxides and (b) carcinogenic gas evolution during processing. Hence AlN must be removed from Al-dross for further processing into refractories. In this work, AlN with minor quantities of halides were removed from Al-dross to extract the major useful refractory oxide constituents in an environmentally friendly manner. The process methodology involved sieving Al-dross to < 600 m particles, aqueous media treatment to remove the nitrides in the form of NH3 gas, oven drying and calcination at 10001150 C for 2 h (in an electrical muffle furnace in ambient air atmosphere) to obtain a mixture of the composite oxide powder of ? 99.0% purity. The calcined compound was mixed with suitable organic binders and sieved to obtain plasma sprayable powder and plasma spray-coated onto bond coated (commercial NiCrAlY) steel substrates. XRD and SEM with EDS facility were used to characterize the powders and coatings. A polished metallographic cross-section was prepared to study the microstructure and interface characteristics. The findings are presented. 2022
Materials Today: Proceedings, Vol-66, pp. 2568-2574.
https://doi.org/10.1016/j.matpr.2022.07.108 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134837710&doi=10.1016%2fj.matpr.2022.07.108&partnerID=40&md5=71c22185a65a5b7dcb887d517d882679
Gomes S.A., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India
kyanite; Nanostructured coatings; Plasma sprayable powder
Nano powders may be reconstituted into micron sized plasma sprayable powders either by using a spray drier or a manual process by employing organic binders to agglomerate them. This paper deals with the synthesis of nano sized alumino-silicate plasma sprayable powders and plasma sprayed coatings prepared from them. Nano sized raw materials involving kyanite and andalusite refractory powders were converted into plasma sprayable powders by using polyvinyl alcohol (PVA) binders. The preparation methodology involved obtaining free flowing, micron sized agglomerated nano-alumino-silicates particles which could be plasma spray coated by using an Atmospheric Spray Coating Facility. About 220 microns thick nano-alumino silicate coatings were deposited on 75 microns thick commercial NiCrAlY bond coat on stainless steel substrates. The challenges involved in plasma spray coating the nano material with low density was in obtaining good deposition efficiency, retaining the nano micro structures and the structural phase composition of the coating. The coatings were evaluated for materials characteristics such as crystal structural phase via XRD, microstructure via SEM and chemical composition via EDS. The microstructure depicted fine grained nano-sized surface morphologies, kyanite and andalusite phase structure, with high potential for application as refractory coatings. Published under licence by IOP Publishing Ltd.
Gowtham Sanjai S.; Pinto R.; Ramaswamy P.
IOP Conference Series: Materials Science and Engineering, Vol-577, No. 1
Gowtham Sanjai S., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, Bangalore, India; Pinto R., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, Bangalore, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST, Deemed to Be University, Bangalore, India
Plasma Sprayed Refractory Coatings from Aluminium Dross
Aluminium dross; industrial waste; plasma spray coatings; refractory
Refractory coatings on metals offer a unique blend of chemical inertness, stability and mechanical properties at temperatures higher than what the metal can normally withstand. However, a balance must be struck with many factors: Thickness, adhesion, performance, durability, economy and suitability for specific end use requirements. The present-day technology requires the coating to give effective service under extreme temperatures while being environmentally friendly and be easily available. One application of refractory coating is in steel industry-pipe linings. This research works highlights the potential to use aluminum dross, an industrial waste material to generate refractory coatings, comprised of Al2O3 and MgAl2O4 after suitable processing. Al dross is a byproduct of the Aluminium smelting process which can be recycled mechanically to separate the residual Aluminium metal from the Aluminium oxide. These are usually produced in tones every year and are found to be dumped in landfills and other empty spaces which generate toxic fumes like methane and other gases when reacted with moisture. The Aluminium dross used in this work was analyzed and found to comprise of its usual constituents such as metallic Al, MgAl2O4, Al2O3, AlN and other oxides and nitrides in minute quantities. Manual procedures were conducted to synthesize plasma spray-able dross which was further introduced to standard laboratory tests for the removal of undesirable constituents like AlN and other nitrides which led to the optimization of quality of powders. Atmospheric plasma spray (APS) coating methodology was used to deposit 250?m thick coatings of re-processed Al dross, involving the spraying of the processed powder onto a bond coated (NiCrAlY) steel substrate. The raw, reprocessed and the plasma sprayed coated Al dross were evaluated for their material characteristics by employing X-ray Diffractometry (XRD) for crystal structural phases, microstructure and chemical composition by employing sophisticated microscopy (SEM) technique and EDS associated with the SEM. The paper is presented keeping in in view the aptness of reprocessed Al dross, an industrial waste material to be utilized as refractories for use in engineering industries. 2019 Elsevier Ltd.
Ramaswamy P.; Tilleti P.; Pinto R.; Ranjith S.; Benjamin J.
Materials Today: Proceedings, Vol-22, pp. 1285-1294.
https://doi.org/10.1016/j.matpr.2020.01.421 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085550697&doi=10.1016%2fj.matpr.2020.01.421&partnerID=40&md5=e8ecbab051b146e8a82e13586996edae
Ramaswamy P., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Tilleti P., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Pinto R., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Ranjith S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Benjamin J., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India
Plasmonic Ag-Integrated Mesoporous Mn2O3TiO2 Thin Films for Efficient Solar Hydrogen Production
Ag/Mn2O3?TiO2; energy conversion; green hydrogen; mesoporous; photocatalysis; thin film
The present work describes the synthesis of mesoporous Mn2O3TiO2 (TiMn) and Ag-integrated TiMn (TiMnAg) nanocomposites, and their superior photocatalytic activity in a thin-film form was demonstrated for solar H2 generation in direct sunlight. The integration of metallic Ag and TiMn significantly enhanced solar H2 production due to the combined effect of Schottky junction and heterojunction formation. The PIRET (plasmon-induced resonance energy transfer) effect of Ag and the consequent energy transfer to the surrounding lattice, and heterogeneous distribution of metal ions on the TiO2 surface with possible synergistic interactions among them, are additional reasons for efficient solar-to-chemical energy conversion. TiMnAg-1 (0.5 wt % Ag-loaded on TiMn) and TiMn-3 (TiO2:Mn = 1:0.03 mol ratio) showed the highest H2 production rate (9.05 mmolh1g1), which is 60 times higher than that of bare TiO2 (0.16 mmolh1g1). TiMnAg-1 fabricated in a thin-film form shows 5.2 times higher solar H2 production activity than its powder counterpart. The interconnected mesoporous network in TiMnAg-1 is an additional advantage, which enhances diffusion and mass transfer during the reaction. The plausible photocatalytic reaction mechanism of the TiMnAg nanocomposites involves direct energy and electron transfer from metallic Ag nanoparticles and Mn2O3 species, respectively, to TiO2, which is then utilized for the reduction of H+ to H2. 2026 American Chemical Society
Mani, Sunesh S.; Rajendran, Sivaraj; Saju, Simi; Mathew, Anju; Babu, Bindhya M.; Mathew, Thomas; Gopinath, Chinnakonda S.
ACS Applied Energy Materials;Volume;9;Issue;8;pp.4964-4977
https://doi.org/10.1021/acsaem.6c00179 https://www.scopus.com/pages/publications/105036997786?origin=resultslist
Mani S.S., Department of Chemistry, St. Johns College (Affiliated to University of Kerala), Anchal, Kerala, 691306, India; Rajendran S., Department of Chemistry, St. Johns College (Affiliated to University of Kerala), Anchal, Kerala, 691306, India, Department of Sciences and Humanities, Christ University, Karnataka, Bengaluru, 560076, India; Saju S., Department of Chemistry, St. Johns College (Affiliated to University of Kerala), Anchal, Kerala, 691306, India; Mathew A., Department of Chemistry, St. Johns College (Affiliated to University of Kerala), Anchal, Kerala, 691306, India, Department of Chemistry, St. Stephens College (Affiliated to University of Kerala), Pathanapuram, Kerala, 689695, India; Babu B.M., Department of Chemistry, St. Johns College (Affiliated to University of Kerala), Anchal, Kerala, 691306, India, Department of Chemistry, St. Gregorios College (Affiliated to University of Kerala), Kerala, Kottarakara, 691506, India; Mathew T., Department of Chemistry, St. Johns College (Affiliated to University of Kerala), Anchal, Kerala, 691306, India; Gopinath C.S., Department of Chemistry, Indian Institute of Technology Palakkad, Kanjikode, Palakkad, 678623, India
Plasmonic Nanocomposite for Visible Light-Modulated Bimorph-Actuator
bimorph actuators; interface; photoswitch; photothermal response; plasmonics
Soft actuators have great potential applications in sophisticated movement and sensitive devices due to their flexible nature, good interaction, and precise control. However, existing carbon-based optical actuators are limited in their response under visible light irradiation. The limited visible light absorbance of the carbon nanostructure brought the metallic nanoparticle into the soft actuators that can absorb visible light. This study introduces a new type of plasmonic photothermal-bimorph actuator, using graphene oxide (GO), reduced graphene oxide (rGO), and silver nanorods (Ag NRs) to overcome the limitations of traditional optical actuators. The bimorph film is actuated by visible and near-infrared light stimuli with various power densities showing reversible deformation behavior. The actuator shows significant bending associated with a ?50 change in bending angle under visible light irradiation with a response time of ?5 1 sec. Furthermore, a smart photo-controlled non-contact switch is fabricated based on photo-thermal conversion properties, demonstrating perfect integration of plasmonic bimorph actuators. The density functional theory based molecular dynamics calculations provide an additional understanding of the bending of actuators under external stimulus. Using illustrative demonstrations of actuators, these results hint at a method for generating multipurpose visible light-based soft robots, supporting a new approach to developing an optical locking system. 2024 Wiley-VCH GmbH.
Kumbhakar P.; Narendhiran S.; Midya S.; Islam M.; Balachandran M.; Singh A.K.
Advanced Materials Technologies, Vol-10, No. 3
https://doi.org/10.1002/admt.202401037 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208035345&doi=10.1002%2fadmt.202401037&partnerID=40&md5=70a4271267464f4bf225ef19290be0a0
Kumbhakar P., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Narendhiran S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Midya S., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Islam M., IMDEA Materials Institute, Tecnogetafe, Calle Eric Kandel 2, Madrid, Getafe, 28906, Spain; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India
Kumbhakar, Partha; Narendhiran, Santhosh; Midya, Soumen; Islam, Monsur; Balachandran, Manoj; Singh, Abhishek Kumar
Advanced Materials Technologies;Volume;10;Issue;3;Article No.;2401037;
https://doi.org/10.1002/admt.202401037 https://www.scopus.com/pages/publications/85208035345?origin=resultslist
Platelets to surrogate lung inflammation in COVID-19 patients
COVID-19; Lung inflammation; Pathogenesis; Platelets; Thrombocytopenia
The neoteric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been jeopardizing the world with the symptoms of seasonal flu. The virus contagion predicted to have been originated from Wuhan, China has by far trapped 4,198,418 cases from 212 countries in the world with two international conveyances with 284,102 deaths as of 11 May 2020 (10:18 GMT). Researchers around the globe have indulged in deciphering viral mode in the body for devising a cure. Affirmations from autopsies and preliminary findings on SARS-CoV-2 hypothesized on viral pathogenesis within the host, for instance, source of inflammation in lungs and pneumonia. This hypothesis assigns the platelets as agents of infection after viral entry. Presently, curbing infection to stall the spread of SARS-CoV-2 is the prima facie intervention employed, worldwide. However, public health authorities must monitor the state of affairs scrupulously, as the deeper our understanding of this novel virus and its associated outbreak, the better we can deal with it. Knowing this idea might be far-fetched, yet this postulate would serve as the groundwork for the present situation. 2020 Elsevier Ltd
Kuchi Bhotla H.; Kaul T.; Balasubramanian B.; Easwaran M.; Arumugam V.A.; Pappusamy M.; Muthupandian S.; Meyyazhagan A.
ISSN: 3069877; PubMed ID: 32688185; CODEN: MEHYD
https://doi.org/10.1016/j.mehy.2020.110098 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088645549&doi=10.1016%2fj.mehy.2020.110098&partnerID=40&md5=34df63f29e2de187e2780a5f4a6e53c6
Kuchi Bhotla H., Department of Medicine, Section of Internal and Cardiovascular Medicine, University of Perugia, Perugia, Italy; Kaul T., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Balasubramanian B., Nutritional Improvement of Crops, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India; Easwaran M., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Arumugam V.A., Medical Genetics and Epigenetics Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, Tamil Nadu, India; Pappusamy M., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru (Karnataka), 560029, India; Muthupandian S., Department of Medical Microbiology and Immunology, Division of Biomedical Sciences, School of Medicine, College of Health Sciences, Mekelle University, Mekelle, 1871, Ethiopia; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru (Karnataka), 560029, India, Euroespes Biomedical Research Centre, International Centre of Neuroscience and Genomic Medicine, Corunna, 15165, Spain
Platform Business Model for Intelligent Supply Chain Operations
Digitisation; Global Markets; Operations; Platform Businesses; Supply Chain
Platform economy involves technology to connect the dispersed network of participants. The Platform Business Model denotes a triangular participation between; the platform itself, the supplier and the consumer. The global market is witnessing a rise of digital platforms with an increase in the power of algorithms and cloud-based computing, connecting millions of participants in the network. The technological advancement makes the digital platforms a formidable force that ushers in change and brings out economic revolution across the globe. Many entrepreneurs have been created by these platforms, the workforces have the freedom to choose their work time and job, leading to an economically vibrant society. Platform businesses exist across various verticals, even in manufacturing setup. A variety of goods can be produced in a flexible assembly line. Hence the concept of outsourcing may require new definition from low-cost labour-based countries to high technology low-cost countries. There may be a transformation of economies shifting towards service, as major manufacturers may reorient themselves into service operators. Overall, the platform business model would make the entire operation more transparent with real time data transfer between the participants, leading to efficiency across the entire chain of business activities. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
Analytics Enabled Decision Making, pp. 227-243.
Manicka M.M.K., CHRIST (Deemed to be University), Bengaluru, India
Platinum decorated phosphorous doped graphitic carbon nitride supported molecularly imprinted carbon fibre electrode as a nano-interface for the detection of butylated hydroxy anisole
BHA; Conducting polymer; Electrochemical sensor; MIP; PgCN; Pt NPs
This research generated an electrochemical sensor using a carbon fibre (CFP) paper electrode coated using platinum-decorated phosphorous doped graphitic carbon nitride (Pt/PgCN). This sensor was designed to detect butylated hydroxy anisole (BHA) selectively and sensitively. The molecularly imprinted polymers (MIPs) were synthesized onto the Pt/PgCN coated CFP surface through electropolymerization using BHA as a template and 3-thiophene acetic acid as monomer. Numerous analytical methods were used to characterise the sensor electrode, including cyclic voltammetry, impedance spectroscopy, and electron microscopy. The results showed that the synergetic effect of PgCN, Pt nanoparticles, and PTAA, PgCN and Pt had a positive impact on the electrochemical detection, the sensor's linear range was determined to be between 5 10?10 M and 2.1 10?7 M. The sensor demonstrated excellent stability, good reproducibility, and high selectivity for detecting BHA. Moreover, the proposed sensor successfully detected BHA in real samples. 2024 Elsevier Ltd
https://doi.org/10.1016/j.mtchem.2024.101982 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186499404&doi=10.1016%2fj.mtchem.2024.101982&partnerID=40&md5=79878e2b32a2834150f646151cf23aa1
George A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Keerthana P., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India