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2. List of contributors

Author

Abd-Elsalam, Kamel A., primary, Aboukhalifa, Mahmoud, additional, Alanís-Navarro, José Andrés, additional, Atabaev, Timur Sh., additional, Ben Mahmud, Hisham, additional, Bhargav, U., additional, Bhatt, Rutwa P., additional, Bustos, Erika Bustos, additional, Chandran, Greeshma U., additional, Chandrashobha, Vennapoospa, additional, Chaudhuri, Ananya, additional, Cheralathan, Kanakkampalayam Krishnan, additional, Chetia, Swagata, additional, Chowdhury, Md. Jahidul Azad, additional, Cornejo-Ponce, Lorena, additional, Elhady, Sherifa, additional, Elmacı, Gökhan, additional, Elsaeed, Shimaa, additional, EL-Seesy, Ahmed I., additional, Ertürk, Ali Serol, additional, Fahim, Irene, additional, Gomey, Shweta, additional, Gonçalves, Rafael Silva Ribeiro, additional, Hyder, M. K. Mohammad Ziaul, additional, Indra, Arindam, additional, Jacob-Furlan, Beatriz, additional, Jayakumar, O.D., additional, Joseph, Jaysy, additional, Kadam, Shreyash D., additional, Kumari, Murikinati Mamatha, additional, Lakshmana Reddy, Nagappagari, additional, Lakshmi, Padma, additional, M., Navya Rani, additional, Manavalan, Kovendhan, additional, Martínez-Sánchez, Carolina, additional, Martins, Lauber de Souza, additional, Nagaveni, Munneli, additional, Narayanaswamy, Manikanta P., additional, Navakoteswara Rao, Vempuluru, additional, Nguyen, Tri Khoa, additional, Nine, Syed Julkar, additional, Ochiai, Bungo, additional, Ordonez, Juan Carlos, additional, Pachaiappan, Rekha, additional, Pal, Ujjwal, additional, Parangi, Tarun, additional, Rangappa, Dinesh, additional, Rashid Sulthan, K., additional, Raula, Manoj, additional, Roy, Kunal, additional, Rustembekkyzy, Kuralay, additional, S., Hema, additional, Saikia, Pranjal, additional, Sajith, Malavika, additional, Sambhudevan, Sreedha, additional, Sandoval-González, Antonia, additional, Saranya, P.E., additional, Sardar, Tathagata, additional, Sarma, Nilpawan, additional, Sesha Sainath, Annadanam V., additional, Shah, Brijesh, additional, Shaktawat, Sarita, additional, Shankar, M.V., additional, Shelake, Sandip Prabhakar, additional, Shetty, Manjunath, additional, Shivaramu, Prasanna D., additional, Silveira da Silva, Paulo Alexandre, additional, Singh, Baghendra, additional, Singh, Brijesh K., additional, Singh, Jay, additional, Subba Rao, Kambam, additional, Suthar, Vaishali, additional, U.S., Harisankar, additional, Urupalli, Bharagav, additional, V., Ananthika, additional, Vargas, José Viriato Coelho, additional, Vasu Govardhana Reddy, Peddiahgari, additional, Verma, Ranjana, additional, Yu, Yeon Tae, additional, and Zaki, Elsayed, additional

Published
2024
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7. Contributors

Author

Ahamed, M. Basheer, primary, Ahmed, Nafis, additional, Aljafari, Belqasem, additional, Ameta, Rakesh Kumar, additional, Anandan, Sambandam, additional, Andal, V., additional, Arivanandhan, M, additional, Ashokkumar, Muthupandian, additional, Ashritha, M.G., additional, Avinash, Arepally, additional, B, Raghavendra Babu, additional, Badam, Rajashekar, additional, Balaji, C., additional, Behere, Supriya Subhash, additional, Bell, Jeffrey G., additional, Bhargav, P. Balaji, additional, Cazorla-Amorós, Diego, additional, Chaurasia, Sujeet K., additional, Chebil, Achref, additional, Deshmukh, Kalim, additional, Devi, S. Brindha, additional, Dhanabalan, Shanmuga Sundar, additional, Dineshbabu, N., additional, Divya, R., additional, Divyadharshini, S., additional, Dridi, Chérif, additional, Duvenhage, Mart-Mari, additional, Elavarasan, N., additional, Fernandes, Jean Maria, additional, Francis, Mathew K., additional, Gnanamoorthy, Govindhan, additional, Godavarthi, Srinivas, additional, Goyal, Vishal, additional, Hareesh, K., additional, Harish, Chevulamaddi, additional, Hatakeyama, Yoshikiyo, additional, Hussain, Chaudhery Mustansar, additional, Inwati, Gajendra Kumar, additional, M, Mohamed Ismail, additional, Jayavel, R, additional, Jeba, S. Virgin, additional, Jinitha, C.G., additional, Joseph, D. Paul, additional, Kakodiya, Shakti Devi, additional, Kanimozhi, Selvadhas Nirmala, additional, Kannan, Karthik, additional, Kar, Tathagata, additional, Keerthana, S., additional, Kesarla, Mohan Kumar, additional, King, Melissa, additional, Kovendhan, M., additional, Krishnaveni, Murugesan, additional, Kumar, P. Vinoth, additional, Kumar, Promod, additional, Lakshmipathy, R., additional, Makwana, Bharat A., additional, Manikandan, M., additional, Mathpal, Mohan Chandra, additional, McLeod, William T., additional, Meher, Songhita, additional, Mehetre, Shantilal S., additional, Meyer, Edson L., additional, Mohanty, Ankita, additional, Mohanty, Smita, additional, Morallón, Emilia, additional, Morel, Mauricio J., additional, Mostazo-López, María José, additional, Muniramaiah, Reddivari, additional, Muzaffar, Aqib, additional, Navamathavan, R., additional, Oh, Min Suk, additional, Pachaiappan, Rekha, additional, Palanisamy, G., additional, Pasha, Shaik Khadheer, additional, Ponpandian, N., additional, Prakash, Mohan, additional, Raguram, T., additional, Rajapriya, A., additional, Rajesh, K., additional, Rajni, K.S., additional, Ramachandran, Rajendran, additional, Ramadoss, Ananthakumar, additional, Ramasamy, P., additional, Rani, B. Geeta, additional, Rao, K. Venkateswara, additional, Rathika, R., additional, Ravichandran, K., additional, Sahoo, Rajesh, additional, Saranya, P.E., additional, Saraswathi, Kailasa, additional, Sathish, M., additional, Satpathy, Sambit, additional, Schmidt-Mende, Lukas, additional, Selvi, D. Pughal, additional, Shanavas, S., additional, Sheelam, Anjaiah, additional, Shetty, Vijeth Rajshekar, additional, Shiraishi, Soshi, additional, Singh, Manoj K., additional, Soler, M.A.G., additional, Sonia, S., additional, Srinivasan, M., additional, Subramani, K., additional, Sundararajan, M., additional, Swain, Nilimapriyadarsini, additional, Swart, Hendrik C., additional, Thirumurugan, Arun, additional, Trivedi, Munesh Chandra, additional, Udayabhaskar, R., additional, Venkatesh, G., additional, Vignesh, V., additional, Vignesh, S., additional, Vijaya, Subbiah, additional, Yadav, Virendra Kumar, additional, and Yuvaraj, S., additional

Published
2023
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10. Contributors

Author

Adhikari, S., primary, Almeida, Joana R., additional, Ambili Suresh, Aiswarya, additional, Appukuttan, Saritha, additional, Asante-Sackey, Dennis, additional, Awad, Fathi, additional, Chen, Sifan, additional, Chen, Xiang, additional, Correia-da-Silva, Marta, additional, Danso-Boateng, Eric, additional, Das, Arindam, additional, Devakumar, Jayadev, additional, Dharani, G., additional, Eberl, Rodolfo, additional, El-Azabawy, Olfat E., additional, El-Saeed, Ashraf M., additional, El-Safty, Sherif A., additional, El-Sockary, Maher A., additional, Fatthallah, Nesreen A., additional, Gopakumar, Nandakumar, additional, Gupta, G.V.M., additional, Hao, Zhifeng, additional, Higazy, Shimaa A., additional, Hussain, Nazim, additional, Imran, Muhammad, additional, Jin, Huichao, additional, Kumar, Parveen, additional, Kush, Preeti, additional, Kyei, Sampson Kofi, additional, Latif, Shoomaila, additional, Manavalan, Kovendhan, additional, Martins, Roberto, additional, Mohan, T.V. Krishna, additional, Murthy, P. Sriyutha, additional, Murthy, M.V. Ramana, additional, Nanchariah, Y. Venkat, additional, Pachaiappan, Rekha, additional, Ponce, Lorena Cornejo, additional, Rajan, Ramya, additional, Rajan, Vincent Femilaa, additional, Ramadass, G., additional, Rani, Deepika, additional, Saravanane, N., additional, Sasi Kumar, Saran, additional, Selim, Mohamed S., additional, Shenashen, Mohamed A., additional, Siddique, M. Hassan, additional, Singh, Ranjit, additional, Tan, Jinyan, additional, Tian, Limei, additional, Tiritan, Maria E., additional, Tong, Zheming, additional, Venkatnarayanan, S., additional, Vilas-Boas, Cátia, additional, Yin, Yue, additional, Zhan, Xiaoli, additional, Zhang, Qinghua, additional, and Zhou, Shuxue, additional

Published
2023
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12. Nanoparticles in Industrial Wastewater Treatment: An Overview

Author

Pachaiappan, Rekha, Rajendran, Saravanan, Ponce, Lorena Cornejo, Singh, V. P., Editor-in-Chief, Berndtsson, R., Editorial Board Member, Rodrigues, L. N., Editorial Board Member, Sarma, Arup Kumar, Editorial Board Member, Sherif, M. M., Editorial Board Member, Sivakumar, B., Editorial Board Member, Zhang, Q., Editorial Board Member, Karchiyappan, Thirugnanasambandham, editor, Karri, Rama Rao, editor, and Dehghani, Mohammad Hadi, editor

Published
2022
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19. Exfoliated WS2 nanosheet – Ag3PO4 heterogeneous composite catalyst for effective electrochemical water-splitting

Author

Satheesh, Divyadharshini, primary, Baskar, Leena, additional, Jayavelu, Yuvashree, additional, Dekshinamoorthy, Amuthan, additional, Rishaban Sakthinathan, Vishwath, additional, Vijayaraghavan, Saranyan, additional, Krishnan, Karthik, additional, Rajendran, Rathika, additional, Pachaiappan, Rekha, additional, Paul Joseph, D., additional, and Kovendhan, M., additional

Published
2024
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35. Contributors

Author

Aamir, Muhammad, Abhitha, K., Ahmad, Bilal, Akhtar, Javeed, Ashiq, Mehvish, Bajire, Sukesh Kumar, Bala, Kiran, Barabadi, Hamed, Behera, Ajit, Bhagat, Madhulika, Bigdeli, Iman Khosravi, Bozorgchami, Negar, Cornejo-Ponce, Lorena, Devi, Vibha, Devika, V., Dhoble, Abhishek S., Geetha, A., Ghaffar, Abdul, Ghosh, Sougata, Hariharan, Nellaiah, Jabeen, Uzma, Jahangeer, Muhammad, John, Honey, Johnson, Renjith P., Joseph, Kuruvilla, Joseph, Sherin, Jounaki, Kamyar, Kumar, Aditya, Kumari, Preeti, Kushwaha, Jeetesh, Mathew, Meegle S., Mohan, Shalini, Morad, Hamed, Mostafavi, Ebrahim, Munir, Bushra, Muthulakshmi, Lakshmanan, Nazarzadeh Zare, Ehsan, Pachaiappan, Rekha, Pandey, Kailash Pati, Pasupuleti, Mukesh, Peter, Anmiya, Pishgahzadeh, Elaheh, Priyadarsini, Madhumita, Qamar, Sarmad Ahmad, Rajan, Vincent Femilaa, Rani, Jyoti, Sadanandan, Sandhya, Sahar, Hina, Sahoo, Prakash Kumar, Salimi, Fatemeh, Sanjeeva, Sandesh G., Saritha, Appukuttan, Sarkar, Bishwarup, Shah Gilani, M. Rehan H., Shastry, Rajesh P., Singh, Yashpal, Sinhamahapatra, Apurba, Sreejaya, M.M., Sreelekshmi, P.J., Srishti, Thomas, Sabu, Thongmee, Sirikanjana, Vahidi, Hossein, Yadav, Kushal, and Yeganeh, Mahdi

Published
2023
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36. Near-infrared Raman spectroscopic characterization of salivary metabolites in the discrimination of normal from oral premalignant and malignant conditions

Author

Munusamy Baludavid, Pachaiappan Rekha, Singaravelu Ganesan, Dornadula Koteeswaran, Prakasarao Aruna, and Elumalai Brindha

Subjects
Pathology, medicine.medical_specialty, Saliva, Chemistry, 010401 analytical chemistry, Near-infrared spectroscopy, Analytical chemistry, 02 engineering and technology, 021001 nanoscience & nanotechnology, medicine.disease, 01 natural sciences, 0104 chemical sciences, symbols.namesake, Oral submucous fibrosis, medicine, symbols, General Materials Science, 0210 nano-technology, Raman spectroscopy, Spectroscopy
Abstract

In the present study, Raman spectroscopy has been employed in the discrimination of the saliva of normal subjects from patients with oral submucous fibrosis and oral squamous cell carcinomaat 785-nm excitation. From the spectral signatures, prominent difference between normal and abnormal group because of variations in metabolic and pathological conditions of the subjects was observed. Principal component analysis coupled with linear discriminant analysis yielded a diagnostic sensitivity of 96.4 and 93.8% and a specificity of 70.2 and 95.7% in the classification of normal from premalignant and normal from malignant, respectively, confirming the efficacy of Raman spectroscopy in the classification of normal and oral abnormalities. Copyright © 2016 John Wiley & Sons, Ltd.

Published
2016

37. Near infrared Raman spectroscopic characterization of blood plasma of normal, oral premalignant and malignant conditions-a pilot study

Author

Dornadula Koteeswaran, Munusamy Baludavid, Pachaiappan Rekha, Ganesan Bharanidharan, Prakasarao Aruna, and Singaravelu Ganesan

Subjects
chemistry.chemical_classification, Chemistry, Guanine, Tryptophan, Phenylalanine, medicine.disease, Amino acid, symbols.namesake, chemistry.chemical_compound, Biochemistry, Fibrosis, Blood plasma, medicine, symbols, General Materials Science, Tyrosine, Raman spectroscopy, Spectroscopy
Abstract

The metabolic end products from cells/tissues that are released into the circulating blood stream and any changes in their level because of pathological conditions may be used as markers in disease diagnosis. Raman spectroscopy has been exploited to characterize the biomolecules present in the blood plasma of clinically confirmed normal group, premalignant (Oral Sub Mucous Fibrosis) and malignant (Oral Squamous Cell Carcinoma) at 784.15 nm. Raman spectral signatures show relatively less intense Raman bands of phenylalanine, lipid and antioxidant beta carotene but higher intense bands for proteins, DNA base components and amino acids (tyrosine and tryptophan) for malignant group than that of normal group. However premalignant group possess high intense Raman bands for amino acids (tyrosine and tryptophan) at 830, 1020 and 1620 cm−1 and protein peaks at 913, 978 and 1646 cm−1 when compared to that of malignant and normal group. Principal component analysis coupled with linear discriminant analysis (PCA-LDA) yielded a diagnostic sensitivity of 96.3% and 91.2%, and a specificity of 80.0% and 96.7% in the classification of normal from premalignant and normal from malignant, respectively. This indicates that Raman spectroscopy of blood plasma has the potential in classifying normal and oral malignancy conditions. Copyright © 2015 John Wiley & Sons, Ltd.

Published
2015

38. Study on discrimination of oral cancer from normal using blood plasma based on fluorescence steady and excited state at excitation wavelength 280 nm

Author

Pachaiappan Rekha, Singaravelu Ganesan, and Prakasarao Aruna

Subjects
Tryptophan, 010402 general chemistry, 01 natural sciences, Fluorescence, Porphyrin, Fluorescence spectroscopy, 0104 chemical sciences, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Nuclear magnetic resonance, chemistry, 030220 oncology & carcinogenesis, Excited state, Blood plasma, Luminescence, Excitation
Abstract

Many research works based on fluorescence spectroscopy have proven its potential in the diagnosis of various diseases using the spectral signatures of the native key fluorophores such as tryptophan, tyrosine, collagen, NADH, FAD and porphyrin. These fluorophores distribution, concentration and their conformation may be changed depending upon the pathological and metabolic conditions of cells and tissues. In this study, we have made an attempt to characterize the blood plasma of normal subject and oral cancer patients by native fluorescence spectroscopy at 280 nm excitation. Further, the fluorescence data were analyzed by employing the multivariate statistical method - linear discriminant analyses (LDA) using leaves one out cross validation method. The results illustrate the potential of fluorescence spectroscopy technique in the diagnosis of oral cancer using blood plasma.

Published
2016

44. Tailoring the properties of spray deposited V2O5thin films using swift heavy ion beam irradiation

Author

Rathika, R., Kovendhan, M., Joseph, D. Paul, Pachaiappan, Rekha, Kumar, A. Sendil, Vijayarangamuthu, K., Venkateswaran, C., Asokan, K., and Jeyakumar, S. Johnson

Abstract

Swift heavy ion (SHI) beam irradiation can generate desirable defects in materials by transferring sufficient energy to the lattice that favours huge possibilities in tailoring of materials. The effect of Ag15+ion irradiation with energy 200 MeV on spray deposited V2O5thin films of thickness 253 nm is studied at various ion doses from 5 × 1011to 1 × 1013ions/cm2. The XRD results of pristine film confirmed orthorhombic structure of V2O5and its average crystallite size was found to be 20 nm. The peak at 394 cm−1in Raman spectra confirmed O–V–O bonding of V2O5, whereas 917 cm−1arise because of distortion in stoichiometry by a loss of oxygen atoms. Raman peaks vanished completely above the ion fluence of 5 × 1012ions/cm2. Optical studies by UV–Vis spectroscopy shows decrement in transmittance with an increase in ion fluence up to 5 × 1012ions/cm2. The red shift is observed both in the direct and indirect band gaps until 5 × 1012ions/cm2. The surface topography of the pristine film revealed sheath like structure with randomly distributed spherical nano-particles. The roughness of film decreased and the density of spherical nanoparticles increased upon irradiation. Irradiation improved the conductivity significantly for fluence 5 × 1011ions/cm2due to band gap reduction and grain growth.

Published
2020
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47. Raman spectroscopic characterization of blood plasma of oral cancer

Author

Pachaiappan Rekha, Ganesan Bharanidharan, Prakasarao Aruna, Singaravelu Ganesan, Balu David, S. Wilfred Prasanna, Kanniyappan Udayakumar, and Amuthachelvi Daniel

Subjects
Chromatography, Chemistry, Albumin, Tryptophan, Cancer, Phenylalanine, medicine.disease, Spectral line, symbols.namesake, Blood plasma, symbols, medicine, Lipid bilayer, Raman spectroscopy
Abstract

Raman Spectroscopy is a versatile technique to probe in to the vibrational or rotational transitions of a molecule and extract complete information about the biochemical composition of the sample under investigation. The metabolic end products of the cell that were released in to the circulating blood would change the biological molecules and thus alter their spectral signatures. Based on this, a pilot study was carried out to discriminate oral cancer patients (n=14) from that of healthy subjects (n=14), using the Raman spectroscopy of blood plasma using Lab RAM HR 800 (HORIBA Jobin Yvon, France) instrument for the spectral range 800- 1800 cm-1. From the spectral profiles of the bio constituents such as protein, amino acids, glucose and lipid, markable difference was observed between the cancer patients and the healthy subjects. Raman peaks corresponding to bio components such as phenylalanine in albumin (939, 1002 cm-1), glucose (1124 cm-1), tryptophan (1205 & 1342 cm-1), amide III (1247 cm-1) and phospholipids (1450 & 1656 cm-1) were different for oral cancer patients from that of healthy subjects. The averaged spectra of cancer patients showed a noticeable blue shift for the peaks corresponding to protein at 1002 cm-1, lipid at 1450 and 1656 cm-1 and a overall decrease in intensity was observed for cancer spectrum. Further, the Raman spectra were analyzed employing the multivariant statistical methods such as principal component analysis (PCA) and linear discriminant analysis (LDA), for the range 800- 1800 cm-1. The results were promising in discriminating blood plasma of oral cancer patients from that of healthy ones.

Published
2013

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