Article
Biochemical Research Methods
Matan Birenboim, David Kenigsbuch, Jakob A. Shimshoni
Summary: A novel fluorescence spectroscopy-based method coupled with N-PLS-R and PLS-DA models was developed to predict cannabinoid contents and classify cannabis. The results showed that the fluorescence spectral region has sufficient information for accurate prediction of cannabinoid contents and accurate classification.
PHYTOCHEMICAL ANALYSIS
(2023)
Article
Automation & Control Systems
Fabio Fornari, Fabio Montisci, Federica Bianchi, Marina Cocchi, Claudia Carraro, Francesca Cavaliere, Pietro Cozzini, Francesca Peccati, Paolo P. Mazzeo, Nicolo Riboni, Maria Careri, Alessia Bacchi
Summary: This study explores the use of chemometrics to aid the discovery of cocrystals of active ingredients suitable for various applications. Partial Least Squares-Discriminant Analysis is used to discern cocrystals from binary mixtures based on the molecular features of the coformers. The proposed methodology resulted in a successful prediction rate of 85% for the test set in the model validation phase and of 74% for the external validation set.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Agriculture, Multidisciplinary
Nerea Nunez, Clara Martinez, Javier Saurina, Oscar Nunez
Summary: The study demonstrates that HPLC-FLD fingerprinting can serve as a suitable chemical descriptor for discriminating the origin, variety, and roasting degree of coffee, with good discrimination power achieved. By selecting fingerprinting segments richer in discriminant features, the classification capabilities could be enhanced, leading to excellent separation and 100% classification rates.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2021)
Article
Critical Care Medicine
Hanglin Ye, Rahul, Uwe Kruger, Tianmeng Wang, Sufei Shi, Jack Norfleet, Suvranu De
Summary: The feasibility of classifying burn severities using Raman spectroscopy alone has been demonstrated, with an average accuracy of 92% achieved by kernel support vector machine and partial least-square regression.
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Analytical
Ayesha Tariq, Muhammad Rizwan Javed, Muhammad Irfan Majeed, Haq Nawaz, Nosheen Rashid, Sadia Yousaf, Anam Ijaz, Noor ul Huda, Hira Tahseen, Abdul Naman, Saima Aziz, Rabiah Tariq, Roger M. Pallares
Summary: A new method using surface-enhanced Raman spectroscopy (SERS) was developed to monitor DNA mutations in Aspergillus niger to enhance cellulase production. DNA mutations were introduced into A. niger fungus using CRISPR-Cas9 and isolated for SERS analysis. Specific spectral features associated with the mutated DNA bases were identified. The changes at specific wavenumbers were successfully differentiated by PCA and PLS-DA, and the accuracy of discrimination reached 100% with PLS-DA. These findings provide new opportunities for rapid and accurate characterization of industrially-relevant biological samples.
ANALYTICAL LETTERS
(2023)
Article
Biochemistry & Molecular Biology
Claudia Scappaticci, Stella Spera, Alessandra Biancolillo, Federico Marini
Summary: In this study, a fast and environmentally friendly analytical strategy using near-infrared spectroscopy and chemometrics was developed to identify and quantify the addition of a drug in alcoholic drinks. The approach showed high accuracy in detecting the presence of the drug and quantifying its concentration.
Article
Chemistry, Analytical
Bilkis Mitu, Vaclav Trojan, Lenka Halamkova
Summary: This study demonstrates the successful use of ATR FT-IR spectroscopy and machine learning for the classification and prediction of sex from fingernails. The method is fast, simple, non-destructive, and requires minimal sample preparation. The results show high accuracy and highlight the potential of this technique for forensic applications.
Article
Information Science & Library Science
Syed Arslan Haider, Umar Nawaz Kayani
Summary: This study examines the impact of customer knowledge management capability (CKMC) on project performance through strategic agility in Pakistani project based software companies. The results show that customer knowledge plays a significant role in improving project performance.
JOURNAL OF KNOWLEDGE MANAGEMENT
(2021)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Chemistry, Analytical
Clara Perez-Rafols, Nuria Serrano, Jose Manuel Diaz-Cruz
Summary: A hybrid sensing system combining cyclic voltammetric and UV-vis absorbance measurements was proposed and applied to beer classification. The system improved the classification power compared to using only one type of measurement. The developed PLS-DA model successfully discriminated between five types of beer and differentiated white-label brand beers from recognized brand beers.
Article
Emergency Medicine
Xinrui Jin, Zixuan Ding, Tao Li, Jie Xiong, Gang Tian, Jinbo Liu
Summary: This study explored the use of machine learning models MPL-ANN and PLS-DA to diagnose and predict the severity of acute pancreatitis patients, with NLR being identified as the most useful marker and the MPL-ANN model showing better performance.
AMERICAN JOURNAL OF EMERGENCY MEDICINE
(2021)
Article
Chemistry, Analytical
Jonathan Tran, Simone Vassiliadis, Aaron C. Elkins, Noel O. I. Cogan, Simone J. Rochfort
Summary: Cannabis cultivation for therapeutic and recreational purposes is growing, and the main cannabinoids of interest are CBD and THC. Near-infrared spectroscopy coupled with liquid chromatography reference data has achieved rapid and nondestructive determination of cannabinoid levels. However, most literature focuses on predicting decarboxylated cannabinoids, such as THC and CBD, rather than naturally occurring analogues like THCA and CBDA. Accurate prediction of these acidic cannabinoids is important for quality control in the cannabis industry.
Article
Forestry
Lina Karlinasari, Noviyanti, Y. Aris Purwanto, Muhammad Majiidu, Fifi G. Dwiyanti, Mohamad Rafi, Ratih Damayanti, Essy Harnelly, Iskandar Z. Siregar
Summary: This study used NIR spectroscopy to discriminate between ebony wood samples from different origins on Celebes island and develop quantitative models to predict the extractive content. The results showed differences in extractive content among ebony wood from different regions, particularly between West and South Celebes. Potential use of PLS regression models based on wood meal spectra for estimating extractive contents was suggested.
Article
Chemistry, Analytical
Banglin Yu, Jun Hu, Lin Yang, Changwen Ye, Beibei Zhu, Dong Li, Chenxi Jiang, Fang Xue, Kuo Huang
Summary: This study isolated two dominant molds (Penicillium chrysogenum and Aspergillus sydowii) from cigar tobacco leaves and used Gas chromatography-ion mobility spectrometry (GC-IMS) to analyze mold growth on potato dextrose agar (PDA) from 0 to 7 days. Different analytical techniques were employed to assess the different periods of cigar tobacco mildew. Potential mildew markers were identified and verified using artificial mildew samples. The results showed that GC-IMS and chemometrics enable early warning of cigar tobacco mold, which is crucial for storage and quality control.
ANALYTICAL LETTERS
(2023)
Article
Food Science & Technology
JiaQi Yue, ZhiMin Li, ZhiTian Zuo, YiJun Liao, HengYu Huang, YuanZhong Wang
Summary: This study investigated the accumulation of fungi elements and chemical components in Wolfiporia cocos from different geographical areas, sampling sites, and altitude sources using multielement analysis, FTIR spectrum, and feature-level fusion technique. The results showed significant differences in element content among different sampling sites and a correlation between elevation and elements. The developed method was reliable for the genuineness evaluation and origin identification of W. cocos.
JOURNAL OF FOOD SCIENCE
(2021)
Article
Agriculture, Multidisciplinary
Li Wang, Honggao Liu, Tao Li, Jieqing Li, Yuanzhong Wang
Summary: The study shows that deep learning based on FT-NIR spectroscopy is the most effective method to identify the edible safety of porcini mushrooms, with a recognition accuracy of 100%. By comparing deep learning with partial least square discriminant analysis (PLS-DA), it was found that while the accuracy of PLS-DA test set is 96.10%, poisonous porcini cannot be wrongly judged. Additionally, deep learning can trace the geographic origin of Leccinum rugosiceps in the Midu area with 100% accuracy.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Biochemical Research Methods
Jia Qi Yue, Heng Yu Huang, Yuan Zhong Wang
Summary: This study proposed a method combining deep learning and 2DCOS for rapid identification of medicinal plants, achieving 100% accuracy in origin identification for Paris polyphylla var. yunnanensis. The ResNet models are stable, reliable, and robust, expanding the application field of deep learning and providing practical reference for related research of other medicinal plants.
PHYTOCHEMICAL ANALYSIS
(2022)
Article
Biochemical Research Methods
Lian Li, Zhi-Tian Zuo, Yuan-Zhong Wang
Summary: This study successfully identified the geographical traceability of different parts of Wolfiporia cocos using two-dimensional correlation spectroscopy and multivariate statistical analysis methods such as residual convolutional neural network and partial least square discriminant analysis. The results showed that synchronous SD 2DCOS was more suitable for identifying complex mixed systems. These methods can provide technical support for the identification and quality evaluation of herbal geographical origins.
PHYTOCHEMICAL ANALYSIS
(2022)
Article
Food Science & Technology
Jian Chen, Jie qing Li, Tao Li, Hong gao Liu, Yuan zhong Wang
Summary: This study developed a rapid method using near-infrared spectroscopy to identify the storage duration and species of sliced boletes. A strategy based on two-dimensional correlation spectroscopy images and residual convolutional neural network model showed superior classification performance, providing a promising way for authenticity testing in the supply chain of boletes.
JOURNAL OF FOOD SCIENCE
(2022)
Article
Biochemical Research Methods
Zhi-Ying Cui, Chun-Lu Liu, Dan-Dan Li, Yuan-Zhong Wang, Fu-Rong Xu
Summary: This study aimed to analyze the correlation of components and activities of P. notoginseng from different origins and develop a rapid identification method. Pharmacological experiments, HPLC, and spectroscopy combined with chemometrics methods were conducted to analyze the main roots of P. notoginseng from four different origins in Yunnan Province. The results showed that the saponin content of P. notoginseng main roots was not significantly different, but the anticoagulant activity was positively correlated with the contents of the three saponins. The variable selection method improved the performance of the model, and the variable importance in projection had the best ability to identify the origins of P. notoginseng.
PHYTOCHEMICAL ANALYSIS
(2022)
Article
Environmental Sciences
Ji Zhang, Jerzy Falandysz, Anetta Hanc, Wiktor Lorenc, Yuanzhong Wang, Danuta Baralkiewicz
Summary: This study investigated the occurrence, distribution, and associations of various elements in the inner and outer parts of Pachyma hoelen sclerotia in Southern China. The quality of forest and agricultural soil was found to be the main factor determining the occurrence of minerals in sclerotia. The concentration of elements was generally higher in the outer part compared to the inner part, except for silver. Additionally, there were different association patterns of elements in different morphological parts of the sclerotia. Further research should be conducted to assess the relationship between minerals and bioactive organic compounds produced by P. hoelen.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Automation & Control Systems
Xiong Chen, Hong Gao Liu, Jie Qing Li, Yuan Zhong Wang
Summary: This study developed a method to simultaneously identify the species and geographical origins of boletes. By combining Fourier transform near-infrared data and residual neural network image analysis model, reliable identification of boletes can be achieved. In addition, the important environmental factors affecting the distribution of boletes were identified using the maximum entropy model, highlighting the crucial role of precipitation factors in the distribution and chemical composition differences of boletes.
JOURNAL OF CHEMOMETRICS
(2022)
Review
Microbiology
Shuai Liu, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: Wild edible mushrooms are delicious seasonal foods that are rich in nutrients but may also contain harmful heavy metals. This paper reviews the content of essential trace elements and harmful heavy metals in nearly 400 species of wild edible mushrooms, and analyzes the internal and external factors that affect elemental content.
Article
Biochemical Research Methods
Chunlu Liu, Furong Xu, Zhitian Zuo, Yuanzhong Wang
Summary: This study conducted a comprehensive analysis on the action mechanism, component content, origin identification, and content prediction of Panax notoginseng. Four saponins were identified as Q-markers, and exerted pharmacological effects on signaling pathways through 24 core targets. HPLC analysis revealed differences among groups and different origins. Suitable producing areas were determined through the mechanism of action and the required saponin content. The low-level data fusion successfully identified the origin and predicted the content of Panax notoginseng from different origins.
PHYTOCHEMICAL ANALYSIS
(2023)
Article
Food Science & Technology
Yulin Xu, Weize Yang, Xuewei Wu, Yuanzhong Wang, Jinyu Zhang
Summary: This study compares traditional models with a deep learning model called ResNet and finds that ResNet has significant advantages in feature extraction and recognition. Preprocessing plays a crucial role in feature extraction and model performance, and VIP features yield the best results in traditional modelling. This research is practically significant for the application development of ResNet model in foods, spices, and medicinal plants.
Article
Chemistry, Analytical
Yuangui Yang, Fan Li, Hongbo Xu, Zhishu Tang, Yuanzhong Wang
Summary: In this study, UHPLC-QTOF-MS and FT-IR combined with multivariable analysis were used to discriminate different species of Paris. The midlevel data fusion showed good performance in classification. A total of 47 compounds were identified using UHPLC-QTOF-MS. The results suggested that PM could be a substitute for PPY.
INTERNATIONAL JOURNAL OF ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Hong Liu, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: This research collected Fourier transform near-infrared (FT-NIR) spectral information of different species of porcini mushroom stipe and cap and used chemometric methods and machine learning for accurate evaluation and identification. The results showed high accuracies of the models based on support vector machine and partial least-squares discriminant analysis (PLS-DA), reaching 98.73-99.04% and 98.73-99.68%, respectively. The models based on low-level data fusion and residual neural network achieved the highest accuracies of 99.68% and 100%, respectively. The study suggests that different models should be selected for different spectral data matrices of porcini mushrooms, and FT-NIR spectra are promising in food safety control.
Article
Food Science & Technology
Shuai Liu, Honggao Liu, Jieqing Li, Yuanzhong Wang
Summary: This study combines three-dimensional correlation spectroscopy (3DCOS) images with deep learning models to quickly and accurately identify wild and cultivated Gastrodia elata. The spectral data used for model building do not require preprocessing and are converted into three-dimensional spectral images. A partial least squares discriminant analysis (PLS-DA) model and a support vector machine (SVM) model are also built for comparison. The deep learning model outperforms the traditional chemometric models, achieving 100% accuracy in multiple sets without preprocessing.
FOOD SCIENCE & NUTRITION
(2023)
Article
Food Science & Technology
Hui Wen, Tianmei Yang, Weize Yang, Meiquan Yang, Yuanzhong Wang, Jinyu Zhang
Summary: In this study, the differences in metabolites in thirteen Zingiberaceae spices were explored using GC-MS and combined spectroscopy. A total of 81 metabolites were identified by GC-MS, with 37 differential metabolites screened using VIP >= 1. However, the OPLS-DA model established with GC-MS data only explained about 30% of the variation. On the other hand, the PLS-DA models with three spectral data fusion strategies achieved a classification accuracy of 100%. The mid-level data fusion model based on latent variables performed the best. This study provides a powerful tool for distinguishing different Zingiberaceae spices and helps reduce the occurrence of substitution and adulteration phenomena.
Article
Spectroscopy
Zh. E. Ozbekova, A. A. Abdyldaev, A. A. Kulmyrzaev
Summary: This study compared two drying methods for cow and yak muscles, finding that freeze drying caused less discoloration. Additionally, analysis of fluorescence spectra allowed for accurate prediction of chemical composition and color characteristics of the muscles.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Leo Mandic, Ivan Ljubic, Iva Dzeba
Summary: In this study, a combined experimental and computational approach was used to investigate the photoexcitation and photodegradation mechanisms of Doxazosin (DOX). The results provide valuable insights into the primary events following the photoexcitation of DOX and its potential applications.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Xiufeng Wang, Yao Jin, Wenhui Ai, Siqi Wang, Zhiqing Zhang, Ting Zhou, Fang Wang, Guodong Zhang
Summary: This study successfully synthesized near infrared fluorescence Ag2S quantum dots (QDs) and developed a dual-mode sensor for sulfide anion using the excellent oxidase-like characteristics of manganese dioxide (MnO2) nanosheets. The sensor showed a wider detection range, higher sensitivity, and shorter reaction time, making it suitable for highly selective detection of sulfide in different concentration ranges.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yafei Li, Yanming Ma, Chuantao Zheng, Di Yu, Lien Hu, Shuo Yang, Fang Song, Yadan Li, Shuanghai Liu, Zhanrui Zhang, Yu Zhang, Yiding Wang, Frank K. Tittel
Summary: To effectively monitor gas explosion and coal spontaneous combustion in coal mine, an intrinsically safe and explosion-proof dual-gas sensor system was developed for methane (CH4) and carbon monoxide (CO) measurement. The system achieved different measurement ranges using laser scanning and gas cells, and improved stability and accuracy through gas pre-treatment and temperature compensation algorithm.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Pei-Rong Chen, Li-Kang Chu
Summary: In this study, the hydrates of glyoxal were investigated using infrared absorption spectrometry. The results showed that at low concentrations, glyoxal mainly exists as monomeric dihydrate. These findings provide suitable detection windows for further research on the roles of glyoxal and its hydrates in atmospheric and aerosol chemistry, as well as the relevant reaction kinetics.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Nichole O'Neill, Thamires A. Lima, Fabio Furlan Ferreira, Nicolas J. Alvarez, Reinhard Schweitzer-Stenner
Summary: This study determines the main fibril axis of GHG gel-forming fibrils using various techniques and compares the results with simulated data. The analysis suggests that the hydrophobic xz-surfaces of GHG fibrils could be a good target for the adsorption of hydrophobic drugs.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Mengyuan Liu, Hanchuang Zhu, Yikun Fang, Caiyun Liu, Xinke Li, Xiaohui Zhang, Lixue Ma, Kun Wang, Miaohui Yu, Wenlong Sheng, Baocun Zhu
Summary: ABHS is an efficient fluorescent probe that can accurately and sensitively detect Al3+ with strong resistance to interference. It also demonstrates excellent detection and imaging capabilities in complex real samples.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Ahmed S. El-Shafie, Evana Rahman, Yasser Gadelhak, Rehab Mahmoud, Marwa El-Azary
Summary: The recycling of waste mandarin peels into biochar (MRBC) has been used as a high performance and cost-effective adsorbent for treating polluted wastewater effluents. Batch adsorption studies were conducted to analyze the adsorption competency of MRBC on two dyes, methylene blue (MB) and basic fuchsin (BF), either in individual solutions or binary combinations. The results showed that MRBC was capable of effectively removing a high percentage of both dyes. However, the adsorption capacity decreased when the dyes were combined. The cost estimation of MRBC production and wastewater treatment indicated that both were relatively low.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Anindita Bhatta, Jahnabi Upadhyaya, Dipak Chamlagai, Lincoln Dkhar, Pynskhemborlang T. Phanrang, Mohan Rao Kollipara, Sivaprasad Mitra
Summary: Derivatives of thiazole-pyrazole fused benzo-coumarin compounds were synthesized and their photophysical properties were investigated. The synthesized coumarin compounds showed potential as therapeutic agents for Alzheimer's disease, inhibiting acetylcholinesterase activity. The presence of human serum albumin was found to affect the inhibition activity.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yongwei Duan, Quancheng Liu, Yiju Zhu, Qi Zhang, Xiaohui Duan, Hu Deng, Liping Shang
Summary: In this study, the phase transition of CL-20 was observed using terahertz spectroscopy, and quantum chemical calculations were employed to analyze the vibrations. The results indicated changes in the vibrations of CL-20 before and after phase transition.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yuefeng Gao, Sai Xu, Baojiu Chen
Summary: This study synthesized Cs2NaInCl6 nanocrystals co-doped with Sb3+ and Tb3+ ions as probes for copper ions detection in lubricating oil. The introduction of Sb3+ effectively reduced the band gap of the host material and enabled energy transfer pathway for Tb3+ emission. The doped Tb3+ ions resulted in the suppression of emission due to electron transfer. The Cs2NaInCl6: 2.5 %Sb3+, 40 %Tb3+ NCs exhibited superior sensitivity and selectivity for copper ions detection.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Yu Liu, Yue Zhang, Changyao Liu, Ce Wang, Baocai Xu, Li Zhao
Summary: A highly sensitive detection platform for heparin was developed using a cationic fluorescent dye (cresyl violet acetate) as a fluorescence probe. The platform demonstrated high selectivity towards heparin and achieved detection in both HEPES solution and serum.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Lopamudra Roy, Nivedita Pan, Susmita Mondal, Ria Ghosh, Md. Nur Hasan, Neha Bhattacharyya, Soumendra Singh, Kallol Bhattacharyya, Arpita Chattopadhyay, Samir Kumar Pal
Summary: The study focuses on the interaction between reactive oxygen species (ROS) and a spectroscopic probe called Rose Bengal (RB), encapsulated in nanoscopic sodium dodecyl sulphate (SDS) micelles and entrapped in microscopic nylon 66 solid matrix. The research demonstrates efficient interaction between ROS and RB-SDS, and investigates the mechanism of hydroxyl radicals generation. Based on these findings, a prototype device utilizing RB embedded in a nylon thin film for quantification of ROS in extracellular fluids and food materials was developed.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Xiaosong Sun, Qihao Cui, Wenyue Dong, Qian Duan, Teng Fei
Summary: Conjugated porous polymers (CPPs) are promising sensing materials and their application in aqueous media is limited. In this study, we synthesized CPPs with porous structure and prepared nanoparticles, enabling efficient photoluminescence sensing of nitroaromatic explosives in aqueous phase.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Spectroscopy
Maria Cristina Caggiani, Germana Barone, Paolo Mazzoleni
Summary: Raman spectroscopy is commonly used for studying glassy materials in cultural heritage, but it is more difficult to interpret the spectra and apply the technique with portable instruments. In contrast, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) can be used in archaeometric investigations as it is portable and non-invasive. However, there is limited application of this technique to historical glasses. This exploratory work demonstrates the potential of DRIFTS, in combination with portable X-ray Fluorescence (pXRF) and EDS microanalyses, for studying the composition and alteration of glass samples in cultural heritage.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)