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
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
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
Biochemical Research Methods
Jingrui Dou, Wubulitalifu Dawuti, Jing Zhou, Jintian Li, Rui Zhang, Xiangxiang Zheng, Renyong Lin, Guodong Lu
Summary: This study examined the possibility of using serum fluorescence spectroscopy and machine learning for the rapid and accurate identification of patients with cholecystitis. Significant differences were observed between the fluorescence spectral intensities of cholecystitis patients and healthy subjects. Classification models using principal component analysis (PCA)-linear discriminant analysis (LDA) and PCA-support vector machine (SVM) were constructed, with the PCA-SVM model showing better diagnostic performance. The study suggests that serum fluorescence spectroscopy combined with the PCA-SVM algorithm has significant potential for the development of a rapid cholecystitis screening method.
JOURNAL OF BIOPHOTONICS
(2023)
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
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
Engineering, Biomedical
Ana Mara Ferreira Lima, Camila Ribeiro Daniel, Marcos Tadeu Tavares Pacheco, Pedro Luiz de Brito, Landulfo Silveira
Summary: This study used Raman spectroscopy to analyze the blood serum samples of normal subjects, leukemic subjects, and non-leukemic subjects, and identified spectral differences related to biomolecules. Classification models were developed to accurately classify and discriminate the spectra. The results showed that Raman spectroscopy could be used for the biochemical differentiation of leukemias and other types of cancer in serum samples of children and adolescents.
LASERS IN MEDICAL SCIENCE
(2022)
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
Oncology
Yizhe Li, Cheng Chen, Fangfang Chen, Chen Chen, Rui Gao, Bo Yang, Rumeng Si, Xiaoyi Lv
Summary: The study proposed a rapid screening method using Raman spectroscopy combined with deep learning algorithms to distinguish hyperthyroidism, hypothyroidism, and control subjects, achieving high accuracy rates. Through model comparison, it was found that as the neural network deepens and model complexity increases, the classification performance of Raman spectroscopy gradually deteriorates.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2021)
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
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
Instruments & Instrumentation
Willis B. B. Jones, Jason R. R. Darvin, Patrick E. E. O'Rourke, K. Alicia Strange Fessler
Summary: This study measured the effect of lithium isotope substitution on Raman molecular vibrations using optical spectroscopy. The results showed discernable isotopic shifts in the Raman spectra of lithium carbonate and lithium hydroxide monohydrate, providing additional bands that can be used for lithium isotope content analysis. Principal component regression analysis demonstrated the sensitivity of Raman peak shifts to isotopic content, with differences greater than 2 atom% reliably determinable.
APPLIED SPECTROSCOPY
(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)
Letter
Otorhinolaryngology
Tejpal Gupta, Sudhir Nair, Pankaj Chaturvedi, JaiPrakash Agarwal
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Manik N. Waghmare, Tazeen S. Qureshi, C. Murali Krishna, Kshama Pansare, Nikhil Gadewal, Arti Hole, Prabhakar M. Dongre
Summary: The study investigated the influence of the protein-nanoparticle interface on drug binding and stability, demonstrating that the conjugation of whey protein with gold nanoparticles can enhance the binding affinity of anticancer drugs. The interaction mechanisms between drugs and the protein-nanoparticle conjugates were explored, providing insights into the selective conformations induced by drug binding.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2022)
Article
Biochemistry & Molecular Biology
Neha Kumari, V. L. Mathe, C. Murali Krishna, P. M. Dongre
Summary: The study demonstrated the potential of using BSA conjugates with CIS and GEM anticancer drugs for targeted drug delivery based on different glycations of gp60 protein; UV-visible absorption and fluorescence spectra showed stronger interaction and binding of conjugate 2 and 3 with NANA; Fluorescence quenching data and Raman signal suggested enhanced binding strength of these conjugates with NANA and FUC.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2022)
Letter
Oncology
Bhav Jain, Edward Christopher Dee, Urvish Jain, Pankaj Chaturvedi, Vedang Murthy
ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Instruments & Instrumentation
Dimple Saikia, Priyanka Jadhav, Arti R. Hole, Chilakapati Murali Krishna, Surya P. Singh
Summary: This study demonstrates the application of Raman spectroscopy in monitoring the growth kinetics of three different pathogenic bacteria. The spectral features revealed temporal changes in the peptide and nucleic acid content of cells during different growth stages, and successful discrimination between growth phases was achieved using principal component analysis.
APPLIED SPECTROSCOPY
(2022)
Article
Spectroscopy
Priyanka A. Jadhav, Kshama Pansare, Arti Hole, Arvind Ingle, Rukmini Govekar, C. Murali Krishna
Summary: About two thirds of oral cancer cases are diagnosed at advanced stages, highlighting the importance of early screening. This study used an animal model to investigate early biochemical changes during DMBA-induced oral carcinogenesis, and found that Raman spectroscopy can be an effective tool for early diagnosis. The findings suggest that serum RS can detect increasing protein and loss of lipid content as oral carcinogenesis progresses.
JOURNAL OF RAMAN SPECTROSCOPY
(2023)
Article
Multidisciplinary Sciences
Aditi Sahu, Kivanc Kose, Lukas Kraehenbuehl, Candice Byers, Aliya Holland, Teguru Tembo, Anthony Santella, Anabel Alfonso, Madison Li, Miguel Cordova, Melissa Gill, Christi Fox, Salvador Gonzalez, Piyush Kumar, Amber Weiching Wang, Nicholas Kurtansky, Pratik Chandrani, Shen Yin, Paras Mehta, Cristian Navarrete-Dechent, Gary Peterson, Kimeil King, Stephen Dusza, Ning Yang, Shuaitong Liu, William Phillips, Pascale Guitera, Anthony Rossi, Allan Halpern, Liang Deng, Melissa Pulitzer, Ashfaq Marghoob, Chih-Shan Jason Chen, Taha Merghoub, Milind Rajadhyaksha
Summary: The response to immunotherapies is unpredictable and variable. Traditional pathology-based phenotyping of tumors is unable to accurately predict treatment response to immunotherapy. Researchers have developed a non-invasive in vivo imaging technique using reflectance confocal microscopy to combine inflammation profiles with vascular features, allowing for dynamic cellular-level phenotyping of the tumor immune microenvironment. This approach provides a more reliable predictor of response to immune therapy in skin cancer patients.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Analytical
Dimple Saikia, Priyanka Jadhav, Arti R. Hole, Chilakapati Murali Krishna, Surya P. Singh
Summary: This study applied Raman spectroscopy to investigate the differences between colistin sensitive and resistant bacterial strains, and successfully generated colistin resistant clones. A unique spectral profile associated with specific drug concentration was obtained, allowing for successful differentiation between resistant and sensitive cells. These findings support the prospective utility of Raman spectroscopy in identifying antimicrobial resistance.
Article
Chemistry, Multidisciplinary
Sukanya Rauniyar, Kshama Pansare, Asmita Sharda, Saurav Raj Singh, Panchali Saha, Murali Krishna Chilakapati, Sanjay Gupta
Summary: Investigating the effect of sub-culturing in parental and radioresistant MCF-7 cells, this study found that radioresistant cells showed high-intensity nucleic acid and cytochrome bands, potentially serving as a radiation-induced spectral marker. Raman spectroscopy data revealed dynamic biochemical alterations in revived radioresistant G(2)/M synchronized cells at early cell passages, stabilizing at a later stage. The importance of cell passaging and cell cycle phases in potentially altering biochemical parameters in radioresistant cells post-cryopreservation was highlighted.
Article
Substance Abuse
Bhavya Reddy Chethi Reddy, Dinesh Musale, Deepa Kadam, Kalpita Lanjekar, Ganesh Ogale, Mahadev Bhise, Suvarna Gore, Pankaj Chaturvedi, Rajesh Dikshit, Atul Budukh
Summary: The COVID-19 pandemic has posed challenges to global public health, especially for tobacco consumers who are at higher risk of developing severe illnesses. National Tobacco Quit Line Services play a crucial role in tobacco cessation, but they encountered difficulties due to the pandemic.
JOURNAL OF SUBSTANCE USE
(2023)
Article
Otorhinolaryngology
Panchali Saha, Sharada Sawant, Atul Deshmukh, Arti Hole, C. Murali Krishna
Summary: This study evaluates the potential of serum Raman spectroscopy (SRS) in identifying recurrence-prone oral cancer subjects. DNA and protein alterations were observed in serum after surgery for all groups. Stratification of post-surgery, recurrence, and non-recurrence subjects was achieved with high accuracy (84%) using SRS, while no stratification was observed before surgery.
HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
(2023)
Article
Oncology
Arjun G. Singh, Florida Sharin, Natarajan Ramalingam, Vidisha Tuljapurkar, Naveen Mummudi, Kumar Prabhash, Pankaj Chaturvedi
Summary: This study assessed the impact of COVID-19 related restrictions on the delivery of adjuvant therapy for oral cancer patients. During the restrictions, oral cancer patients faced difficulties in receiving their prescribed treatment, with a significant number of patients unable to receive any form of adjuvant therapy. The main reasons for delay included unavailability of appointments, inability to reach treatment centers, and reimbursement issues. Pragmatic actions are needed to address these challenges.
INDIAN JOURNAL OF CANCER
(2023)
Article
Oncology
Natarajan Ramalingam, Shivakumar Thiagarajan, Nithyanand Chidambaranathan, Arjun Gurmeet Singh, Devendra Chaukar, Pankaj Chaturvedi
Summary: This study analyzed a modified staging system for salivary gland tumors that incorporates histology and grade for improved prognostic performance and external validation.
JCO GLOBAL ONCOLOGY
(2022)
Article
Dentistry, Oral Surgery & Medicine
Mandavi Waghmare, Anwesha Banerjee, Janice Pinto, Naveen Shetty
Summary: Mucormycosis is a serious fungal infection that commonly affects immunocompromised patients and individuals with systemic pathosis. The infection begins in the nose and paranasal sinuses, leading to tissue necrosis and vascular invasion. Early diagnosis and treatment are crucial for preventing and managing this disease.
JOURNAL OF INDIAN ACADEMY OF ORAL MEDICINE AND RADIOLOGY
(2022)
Article
Surgery
Bikramjit Singh, Pooja Pal, Pankaj Chaturyedi
Summary: Cutaneous cancer is rare in India, and squamous cell carcinoma is the most common type. A retrospective study on 19 cases of squamous cell carcinoma of the scalp found that poorly differentiated histology and perineural invasion are poor prognostic indicators.
INDIAN JOURNAL OF OTOLARYNGOLOGY AND HEAD & NECK SURGERY
(2022)