Article
Biochemical Research Methods
Daniela Franco Lopes, Alessandra Silverio, Ana Karina Arima Schmidt, Gerson Baptista Picca, Landulfo Silveira
Summary: Biomarkers of cancer in sera of domestic dogs were detected using Raman spectroscopy with 830 nm excitation. Principal component analysis (PCA) and partial least squares (PLS) regression were used to differentiate between the Healthy and Cancer groups. The results showed that certain peaks in the Raman spectra were higher in the Cancer group, while others were higher in the Healthy group.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Spectroscopy
Neha Chaudhary, Thi Nguyet Que Nguyen, Daniel Cullen, Aidan D. Meade, Claire Wynne
Summary: The activation and proliferation of immune cells are crucial for overcoming infections, but uncontrolled activation may lead to autoimmune conditions. Understanding cellular activation status is important for disease diagnosis, with Raman spectroscopy offering a promising label-free method for assessing molecular changes in immune cells. Machine learning models using Raman spectra demonstrated high performance in discriminating cell types, with potential spectral biomarkers identified for further research.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Spectroscopy
Bruno G. daFonseca, Sapanbir S. Thind, Ian Booth, Alexandre G. Brolo
Summary: Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to classify different types of carbon material based on their Raman spectra, providing an avenue for automated classification of carbon materials using Raman spectroscopy and machine learning.
JOURNAL OF RAMAN SPECTROSCOPY
(2023)
Article
Spectroscopy
Dayu Hu, Xiaosong Xu, Zeyin Zhao, Changqi Li, Ye Tian, Qiang Liu, Bo Shao, Shuo Chen, Yue Zhao, Ling Li, Huan Bi, Ang Chen, Cheng Fu, Xiaoyu Cui, Yu Zeng
Summary: The study utilized SERS technology to detect metabolites in urine, reflecting the cancer status. Combining results from urine supernatant and sediment, SERS showed high diagnostic sensitivity and specificity for BCa.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Spectroscopy
Xien Yang, Quanhong Ou, Weiye Yang, Youming Shi, Gang Liu
Summary: Liver cancer is the most common fatal malignant tumor in the world, and early diagnosis can improve the survival rate. FTIR spectroscopy combined with curve fitting and chemometrics showed differences in serum components between patients with liver cancer and healthy individuals. Principal component analysis and partial least squares discriminant analysis were able to accurately distinguish the serum of liver cancer patients from healthy individuals, highlighting the potential of FTIR spectroscopy as an effective diagnostic method for liver cancer.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Spectroscopy
Vera Mozhaeva, Denis Kudryavtsev, Kirill Prokhorov, Yuri Utkin, Sergey Gudkov, Sergey Garnov, Igor Kasheverov, Victor Tsetlin
Summary: The combination of Raman spectroscopy and principal component analysis (PCA) was used to classify peptide and protein toxins from animal venoms and synthetic analogues. The study showed that Raman spectroscopy can classify toxins based on their primary and secondary structures. The method can discriminate three-finger toxins from snake venom and alpha-conotoxins from predatory marine mollusks. The technique also allows differentiation of disulfide isomers of the same peptide toxin. The proposed method provides a rapid analysis tool for newly discovered venom-derived toxins by comparing them to known toxins.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Medicine, General & Internal
Ming-Jer Jeng, Mukta Sharma, Cheng-Chia Lee, Yu-Sheng Lu, Chia-Lung Tsai, Chih-Hsiang Chang, Shao-Wei Chen, Ray-Ming Lin, Liann-Be Chang
Summary: Raman spectroscopy can be used to differentiate urine samples from non-AKI and AKI patients, with AKI patients showing higher levels of nitrogenous compounds, porphyrin, tryptophan, and neopterin. The study's findings suggest the potential for implementing an in vivo RS approach for the detection of AKI diseases.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Biology
Zheng Li, Zhongqiang Li, Qing Chen, Jian Zhang, Michael E. Dunham, Andrew J. McWhorter, Ji-Ming Feng, Yanping Li, Shaomian Yao, Jian Xu
Summary: Early detection of laryngeal cancer is crucial for survival rates, treatment options, and healthcare costs. A non-invasive optical biopsy for laryngeal carcinoma can improve early detection and monitoring, as well as improve margin control during surgery. In this study, a Raman spectroscopy system was evaluated for rapid intraoperative detection of human laryngeal carcinoma, using different spectral analysis methods. Results showed that the convolutional neural network method demonstrated the highest performance in terms of accuracy, sensitivity, and specificity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Spectroscopy
Jinming Xu, Hao Yuan, Huangmei Zhou, Yu Zhao, Ying Wu, Jie Zhang, Sanjun Zhang
Summary: This study developed a fluorescent sensor array based on gold nanoclusters probe for the detection of organic acids and Baijiu. The sensor array showed potential for the classification and quantification of acids, as well as the identification of different brands and qualities of Baijiu.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Spectroscopy
Katerina Kralova, Ondrej Vrtelka, Marketa Fouskova, Petr Hribek, Bohus Bunganic, Michaela Miskovicova, Petr Urbanek, Miroslav Zavoral, Lubos Petruzelka, Lucie Habartova, Vladimir Setnicka
Summary: Improving early diagnosis of gastrointestinal cancers is crucial for reducing mortality. The non-specific symptoms pose a challenge in differentiating between different types of gastrointestinal cancers. By using Raman spectroscopy and Raman optical activity to analyze blood plasma samples, the study aimed to identify disease-specific alterations in biomolecular structure and composition. The statistical methods tested showed high accuracy in discriminating between cancer and control samples, as well as differentiating among the three studied cancer types.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Chemistry, Analytical
Ziyi Cao, Shijie Zhang, Youlin Liu, Casey J. Smith, Alex M. Sherman, Yechan Hwang, Garth J. Simpson
Summary: Generative adversarial linear discriminant analysis (GALDA) is a useful tool for improving classification accuracy and reducing overfitting in spectrochemical analysis. It is inspired by the success of generative adversarial neural networks (GANs) in minimizing overfitting in artificial neural networks, but GALDA has its own distinct linear algebra framework. GALDA performs data augmentation by excluding regions in spectral space where genuine data does not exist. Compared to non-adversarial methods, GALDA shows significant improvements in dimension reduction and classification accuracy.
ANALYTICA CHIMICA ACTA
(2023)
Article
Environmental Sciences
Marco Antonio Zepeda-Zepeda, Michel Picquart, Maria Esther Irigoyen-Camacho, Adriana Marcela Mejia-Gozalez
Summary: This study evaluated the capability of micro-Raman spectroscopy to classify teeth of different fluorosis severities and found that the technique showed high sensitivity and specificity in distinguishing severity groups. An increase in B-type carbonate ion substitution into the phosphate site of hydroxyapatite with increasing fluorosis severity was identified through analysis of the micro-Raman spectra. The PCA-LDA model demonstrated high cross-validation accuracy and showed potential for clinical and epidemiological applications.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Biochemistry & Molecular Biology
Max Naumann, Natalie Arend, Rustam R. Guliev, Christian Kretzer, Ignacio Rubio, Oliver Werz, Ute Neugebauer
Summary: Macrophages, important cells of the immune system, can be classified into different subtypes based on their function and phenotype. In this study, Raman spectroscopic imaging was used to visualize and discriminate between different human macrophage phenotypes in a non-destructive and label-free manner, which is important for studying their contribution to various pathologies.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Agricultural Engineering
Feifei Tao, Li Liu, Christopher Kucha, Michael Ngadi
Summary: This study investigated the use of a low-cost, ultra-compact, handheld microNIR spectrometer to detect adulteration of wheat flour. Various classification models were established, achieving high accuracy in differentiating pure and adulterated flour samples, showcasing the potential of spectroscopy in food quality testing.
BIOSYSTEMS ENGINEERING
(2021)
Article
Spectroscopy
Zozan Guleken, Huri Bulut, Berk Bulut, Wieslaw Paja, Magdalena Parlinska-Wojtan, Joanna Depciuch
Summary: Endometriosis refers to the formation of the uterus lining outside the uterus. Raman spectroscopy analysis of serum showed that it is possible to distinguish between healthy women and those with endometriosis using specific Raman ranges. Lipid vibrations may serve as spectral markers of the disease.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Nuclear Science & Technology
R. Rathika, M. Kovendhan, D. Paul Joseph, Rekha Pachaiappan, A. Sendil Kumar, K. Vijayarangamuthu, C. Venkateswaran, K. Asokan, S. Johnson Jeyakumar
NUCLEAR ENGINEERING AND TECHNOLOGY
(2020)
Review
Environmental Sciences
Rekha Pachaiappan, Saravanan Rajendran, Pau Loke Show, Kovendhan Manavalan, Mu Naushad
Summary: Many microbial species causing infectious disease have become a social burden and threat to communities worldwide. The emergence of nanoparticles has shown potential in targeting and destroying microbes. Metal and metal oxide nanocomposites have gained interest for their antibacterial properties by damaging bacterial cell walls and leading to bacterial death.
Article
Engineering, Chemical
Rekha Pachaiappan, Saravanan Rajendran, Gomathi Ramalingam, Dai-Viet N. Vo, P. Mohana Priya, Matias Soto-Moscoso
Summary: Zinc oxide nanoparticles synthesized through a green approach inhibited the growth of bacteria and fungi by releasing zinc ions and producing reactive oxygen species. The antimicrobial effects of zinc oxide nanoparticles from different precursors were comparable.
CHEMICAL ENGINEERING & TECHNOLOGY
(2021)
Article
Environmental Sciences
A. K. Priya, Rekha Pachaiappan, P. Senthil Kumar, A. A. Jalil, Dai-Viet N. Vo, Saravanan Rajendran
Summary: Human activities and population growth have led to a decrease in the availability of drinking water, making it necessary to establish wastewater treatment plants. Lack of WWTPs in rural areas like India has caused damage to water resources, highlighting the urgent need for better wastewater treatment facilities.
ENVIRONMENTAL POLLUTION
(2021)
Article
Engineering, Environmental
Saravanan Rajendran, Rekha Pachaiappan, Tuan K. A. Hoang, Sekar Karthikeyan, Lalitha Gnanasekaran, S. Vadivel, Matias Soto-Moscoso, M. A. Gracia-Pinilla
Summary: Recent interest and responsibility in protecting water resources have led scientists to develop mechanisms using sustainable resources like sunlight to remove pollutants from water. Utilizing unique materials and studying semiconductor structures are key in achieving photocatalytic degradation of water pollutants under visible light excitation.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Chemistry, Physical
Rekha Pachaiappan, Saravanan Rajendran, P. Senthil Kumar, Dai-Viet N. Vo, Tuan K. A. Hoang, Lorena Cornejo-Ponce
Summary: This article discusses different types of carbon and nitrogen materials, with a focus on graphitic carbon nitride (C3N4), and its applications in heterogeneous catalysis and energy storage. The article highlights the advantages of graphitic C3N4, such as hydrogen storage and tunable electronic properties, and suggests that its full potential in areas like hydrogen production via water splitting has not been fully explored.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Review
Engineering, Chemical
Rekha Pachaiappan, Saravanan Rajendran, P. Senthil Kumar, Dai-Viet N. Vo, Tuan K. A. Hoang
Summary: Worldwide air pollution caused by greenhouse gas emissions has severely damaged ecosystems. Research has focused on converting carbon dioxide into sustainable energy fuel using nanotechnology, with carbon nitride nanocomposites showing potential in reducing carbon dioxide into valuable products. Advancements in nanoscience have led to the exploration of carbon nitride's photocatalytic properties in reducing carbon dioxide emissions.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Review
Environmental Sciences
Gomathi Ramalingam, Rekha Pachaiappan, P. Senthil Kumar, Shanmugapriya Dharani, Saravanan Rajendran, N. Dai-Viet Vo, K. A. Tuan Hoang
Summary: Water is considered the elixir for all living creatures, but global water resources are being contaminated due to population growth, industrialization, and urbanization. Metal organic frameworks (MOFs) play a crucial role in removing water pollutants, with unique characteristics that enable their use in energy and environmental applications.
Article
Environmental Sciences
Lalitha Gnanasekaran, Rekha Pachaiappan, P. Senthil Kumar, Tuan K. A. Hoang, Saravanan Rajendran, D. Durgalakshmi, Matias Soto-Moscoso, Lorena Cornejo-Ponce, F. Gracia
Summary: This study focuses on improving the treatment of industrial waste and harmful bacteria by tuning the band gap of the TiO2 catalyst, and discusses the mechanism and results of photocatalytic and antibacterial activities in detail.
ENVIRONMENTAL POLLUTION
(2021)
Review
Biotechnology & Applied Microbiology
Rekha Pachaiappan, Lorena Cornejo-Ponce, Rathika Rajendran, Kovendhan Manavalan, Vincent Femilaa Rajan, Fathi Awad
Summary: The quality of water is crucial for the health of living beings on Earth. However, human activities such as industrialization, urbanization, and improper waste disposal have led to water pollution caused by pollutants like volatile organic compounds (VOCs) and heavy metals. Researchers, scientists, and industries are now focusing on developing wastewater treatment methods that are cost-effective and eco-friendly. Biofiltration technologies, which utilize biological sources like bacteria, fungi, and plants, have shown promise in removing VOCs and heavy metals from wastewater. This review article provides an in-depth insight into the application of biofiltration technologies for wastewater treatment.
Article
Water Resources
Thirugnanasambandham Karchiyappan, Rekha Pachaiappan
Summary: This study presents an effective method for recovering protein from sweet potato starch wastewater using modified chitosan. The modified chitosan is characterized using FT-IR spectroscopy, EDX, POM, and SEM. The process parameters are monitored and modeled to determine the optimum operating conditions for protein recovery, achieving a recovery rate of 95%. Electrophoresis analysis confirms that the recovered protein can be used as livestock feed ingredients.
JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH
(2022)
Proceedings Paper
Optics
Rekha Pachaiappan, Aruna Prakasarao, Yuvaraj Manoharan, Koteeswaran Dornadula, Ganesan Singaravelu
OPTICAL BIOPSY XV: TOWARD REAL-TIME SPECTROSCOPIC IMAGING AND DIAGNOSIS
(2017)
Proceedings Paper
Optics
Rekha Pachaiappan, Aruna Prakasarao, Ganesan Singaravelu
OPTICAL BIOPSY XV: TOWARD REAL-TIME SPECTROSCOPIC IMAGING AND DIAGNOSIS
(2017)
Proceedings Paper
Engineering, Biomedical
Rekha Pachaiappan, Aruna Prakasarao, Ganesan Singaravelu
ADVANCED BIOMEDICAL AND CLINICAL DIAGNOSTIC AND SURGICAL GUIDANCE SYSTEMS XV
(2017)
Proceedings Paper
Engineering, Biomedical
Rekha Pachaiappan, Aruna Prakasarao, Murugesan Suresh Kumar, Ganesan Singaravelu
ADVANCED BIOMEDICAL AND CLINICAL DIAGNOSTIC AND SURGICAL GUIDANCE SYSTEMS XV
(2017)
