Article
Medicine, General & Internal
Nicola Romano, Giammarco Baiardi, Valeria Maria Pinto, Sabrina Quintino, Barbara Gianesin, Riccardo Sasso, Andrea Diociasi, Francesca Mattioli, Roberta Marchese, Giovanni Abbruzzese, Antonio Castaldi, Gian Luca Forni
Summary: Neurodegeneration with brain iron accumulation (NBIA) is a group of rare diseases characterized by brain iron overload. Current treatment options only focus on symptom management. The use of deferiprone (DFP) appears to be a promising strategy for reducing iron accumulation and improving clinical symptoms.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Clinical Neurology
Shalini S. Rao, Larissa Lago, Irene Volitakis, Jay J. Shukla, Gawain McColl, David I. Finkelstein, Paul A. Adlard
Summary: Iron dysregulation may contribute to the formation of neurofibrillary tangles in tauopathies, and the iron chelator DFP has shown potential therapeutic advantages in improving cognitive function and reducing tau protein aggregation in neurons.
Review
Multidisciplinary Sciences
Yesim Aydinok
Summary: Combination chelation therapy is a viable option for transfusion-dependent thalassemia patients who have not achieved iron balance with monotherapy or need intensified treatment for rapid iron reduction. It allows for a more personalized approach, improving tolerability, adherence, and quality of life. Real-life data highlights the importance of compliance in achieving meaningful reduction in iron overload compared to monotherapy.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Pritam Kumar Pain, Dipanwita Palit, Meenakshi Shegane, Rajnish Pratap Singh, Debasish Manna
Summary: Copper can be both harmful and essential, and its concentration needs to be precisely controlled within cells. We have developed a system using a photocaged chelator and light to regulate cellular copper concentration. This method allows us to control copper levels in cells in a spatiotemporal manner.
CHEMICAL COMMUNICATIONS
(2023)
Article
Biotechnology & Applied Microbiology
Glaucia Morgana de Melo Guedes, Kesia Veras Costa Ribeiro, Emanuela Silva de Araujo, Vinicius Carvalho Pereira, Ana Carla de Castro Freitas Soares, Alyne Soares Freitas, Rossana de Aguiar Cordeiro, Jose Julio Costa Sidrim, Marcos Fabio Gadelha Rocha, Debora de Souza Collares Maia Castelo-Branco
Summary: This study evaluated the effect of the iron chelator deferiprone (DFP) on antimicrobial susceptibility and biofilm formation and maintenance by Burkholderia pseudomallei. DFP inhibited planktonic growth and enhanced the effect of beta-lactams against B. pseudomallei. It also reduced biofilm formation and biomass of B. pseudomallei biofilms.
Review
Biochemistry & Molecular Biology
Alessandra Di Paola, Chiara Tortora, Maura Argenziano, Maria Maddalena Marrapodi, Francesca Rossi
Summary: Iron is a crucial element for mammalian cells and its alteration could lead to the onset of disorders. Iron chelation has been proposed as a novel therapeutic strategy to counteract inflammation in autoimmune and inflammatory diseases. Several iron chelators, such as deferiprone, deferoxamine, deferasirox, and Dp44mT, have anti-inflammatory effects. Eltrombopag has been reported to reduce inflammation by chelating iron and modulating iron efflux.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Chemistry, Applied
Yafei Zhang, Xiaojing Tian, Yuzhen Jiao, Yang Wang, Juan Dong, Ning Yang, Qinghua Yang, Wei Qu, Wenhang Wang
Summary: This study investigated the relationship between different forms of iron and the oxidation of lipids and proteins in meat. The results showed that free iron was the main oxidizing substance, and the addition of exogenous heme slightly increased meat oxidation. The study also found that lipid oxidation was more serious than protein oxidation. Controlling the generation of free iron and free iron from heme is a potential approach for reducing oxidative damage in meat cooking.
Article
Neurosciences
Jay J. Shukla, Nadia Stefanova, Ashley Bush, Gawain McColl, David Finkelstein, Erin J. McAllum
Summary: This study found changes in iron metabolism in different brain regions of aged PLP-alpha syn mice and tested the efficacy of iron-lowering drugs in alleviating disease phenotype in these mice. The results indicated iron accumulation and perturbed iron-ferritin interaction in the substantia nigra, putamen, and cerebellum of aged PLP-alpha syn mice. Additionally, targeting iron in MSA could be a viable therapeutic option as shown by improvements in motor performance and neuronal survival in the study.
NEUROBIOLOGY OF DISEASE
(2021)
Article
Medicine, General & Internal
Raffaella Origa, Monia Cinus, Maria Paola Pilia, Barbara Gianesin, Antonietta Zappu, Valeria Orecchia, Maria Grazia Clemente, Carla Pitturru, Anna Rita Denotti, Francesco Corongiu, Simona Piras, Susanna Barella
Summary: The study evaluated the safety and efficacy of long-term combination therapy of deferasirox plus desferrioxamine and deferasirox plus deferiprone in a large group of transfusion-dependent thalassemia patients. Both combinations were effective in reducing serum ferritin and liver iron concentration, but patient adherence to the two drugs was low.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Hematology
Denis Soulieres, Jules Mercier-Ross, Caroline Fradette, Anna Rozova, Yu Chung Tsang, Fernando Tricta
Summary: This study characterized the pharmacokinetic profile of deferiprone in adult patients with sickle cell disease (SCD). The results showed that deferiprone had similar metabolism and excretion characteristics in SCD patients compared to healthy volunteers, suggesting no special dosing adjustments are needed for this population.
ANNALS OF HEMATOLOGY
(2022)
Article
Clinical Neurology
Yurie Nose, Ikuko Uwano, Ukihide Tateishi, Makoto Sasaki, Takanori Yokota, Nobuo Sanjo
Summary: Deferiprone administration significantly improved radiological and clinical outcomes in patients with postoperative superficial siderosis. Earlier and longer courses of deferiprone could result in better patient prognosis.
JOURNAL OF NEUROLOGY
(2022)
Article
Pharmacology & Pharmacy
Maria Daglas, Phan H. Truong, Linh Q. Miles, Sydney M. A. Juan, Shalini S. Rao, Paul A. Adlard
Summary: Iron plays a detrimental role in the injured brain, and the use of an iron chelator like deferiprone may be a promising therapeutic approach to improve survival, functional outcomes, and quality of life in TBI patients.
BRITISH JOURNAL OF PHARMACOLOGY
(2023)
Review
Biochemistry & Molecular Biology
Sandro Huenchuguala, Juan Segura-Aguilar
Summary: Iron plays a fundamental role in various aspects of human life, but an imbalance in iron levels can lead to certain pathologies. Maintaining iron homeostasis is crucial in preventing these pathologies. While there is evidence suggesting iron's involvement in the degenerative process of Parkinson's disease, clinical studies have not shown positive effects of iron chelators in treating the disease.
Article
Medicine, Research & Experimental
Noppawan Phumala Morales, Supot Rodrat, Pannaree Piromkraipak, Paveena Yamanont, Kittiphong Paiboonsukwong, Suthat Fucharoen
Summary: Treatment with deferiprone significantly improved the oxidative status in β-thalassemia/hemoglobin E patients, reducing the risk of oxidative-related complications and improving red blood cell quality. This improvement may partially be attributed to the reduction of redox active iron and enhancement of antioxidant enzyme activity.
BIOMEDICINE & PHARMACOTHERAPY
(2022)
Article
Biochemistry & Molecular Biology
Athina G. Mantelou, Alexandra Barbouti, Anna Goussia, Argyro Zacharioudaki, Alexandra Papoudou-Bai, Chara Vlachou, Stelios Kokkoris, Apostolos Papalois, Dimitrios Galaris, Georgios K. Glantzounis
Summary: The study showed that a combination of iron chelators with varying lipophilicity and iron-binding properties can enhance protection against hepatic I/R injury. Through investigations in cell lines and a rabbit model, the protective effects of these iron chelator combinations were observed.
FREE RADICAL BIOLOGY AND MEDICINE
(2022)
Article
Thermodynamics
Junhao Qiao, Jingping Liu, Jichao Liang, Dongdong Jia, Rumin Wang, Dazi Shen, Xiongbo Duan
Summary: The novelty of using the asynchronous intake valve in the Miller cycle was proposed and tested in an SI engine. The effects of this novelty on engine performance were analyzed and compared to the results of the Otto cycle. The results showed that the use of the asynchronous intake valve reduced pumping mean effective pressure and increased engine efficiency.
Article
Thermodynamics
Jialu Qiao, Shunli Wang, Chunmei Yu, Xiao Yang, Carlos Fernandez
Summary: In this research, a novel dynamic migration model is proposed to better describe the dynamic characteristics of lithium-ion batteries under different aging states by adjusting battery parameters in realtime. A novel chaotic firefly-particle filtering method is proposed, which uses the behavior of fireflies in nature to simulate particle optimization and find a new optimal solution through chaotic mapping. Compared with traditional particle filtering algorithm, the proposed algorithm improves the state-of-charge and state-of-health estimation accuracy by 1.48% and 0.38% respectively under Hybrid Pulse Power Characterization condition, and by 0.67% and 0.63% respectively under Beijing bus dynamic stress test condition. The proposed battery model and algorithm are of great significance in improving the condition monitoring quality of the battery management system.
Article
Engineering, Electrical & Electronic
Jie Cao, Shunli Wang, Yanxin Xie, Carlos Fernandez
Summary: This research proposes a Limited Memory Multi-Innovation Least Squares (LM-MILS) algorithm for ternary lithium-ion battery (LIB) parameter identification, which addresses data redundancy and improves parameter estimation accuracy. The experimental results demonstrate that the improved algorithm performs well in improving the accuracy of SOC estimation for the battery.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Review
Materials Science, Multidisciplinary
Guodong Zou, Jiawen Feng, Xue Zhao, Jinming Wang, Yangyang Wang, Weihao Yang, Mengyao Wei, Yimin Wang, Lanjie Li, Liqun Ren, Carlos Fernandez, Qiuming Peng
Summary: This article summarizes the challenges faced by rechargeable magnesium metal batteries (RMBs) in electrode applications, including surface passivation, uneven deposition/dissolution, and corrosion. It then discusses the protective measures through three-dimensional host nanostructure fabrication, Mg alloys anode design, current collector modification, artificial solid-electrolyte interphase construction, and electrolyte optimization. Finally, the future prospects and outlooks for developing other strategies to improve the performance of rechargeable Mg batteries and promote their commercial applications are also discussed.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Industrial
Shunli Wang, Yongcun Fan, Siyu Jin, Paul Takyi-Aninakwa, Carlos Fernandez
Summary: Safety assurance is crucial for lithium-ion batteries in power supply fields. The proposed improved ANA-LSTM neural network with high-robustness feature extraction and optimal parameter characterization achieves accurate RUL prediction. The collaborative multi-feature model realizes multi-scale parameter optimization and robust RUL prediction, advancing the industrial application of lithium-ion batteries.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Energy & Fuels
Yanxin Xie, Shunli Wang, Gexiang Zhang, Yongcun Fan, Carlos Fernandez, Frede Blaabjerg
Summary: In this paper, an improved algorithm based on multi-hidden layer long short-term memory (MHLSTM) neural network and sub-optimal fading extended Kalman filtering (SFEKF) is proposed for synthetic state of charge (SoC) estimation. The proposed algorithm captures the battery external measurable information and matches it with the network topology to roughly evaluate the battery SoC using an MHLSTM network. A suboptimal fading factor is then inserted into the extended Kalman filter (EKF) algorithm to enhance the accuracy of state estimation.
Article
Electrochemistry
Tao Long, Shunli Wang, Wen Cao, Heng Zhou, Carlos Fernandez
Summary: This paper proposes an improved variable forgetting factor recursive least square-double extend Kalman filtering algorithm based on global mean particle swarm optimization to obtain a stable and accurate SOE and SOH at different aging levels and temperatures. The algorithm is validated on the HPPC and BBDST datasets, and the results show that the SOE and SOH estimation errors are within acceptable ranges.
ELECTROCHIMICA ACTA
(2023)
Article
Electrochemistry
Xu Wang, Weiwu Ma, Carlos Fernandez
Summary: Electroless silver bottom-up filling was investigated by linear sweep voltammetry, and it was found that the addition of PEG 4000 had a strong inhibitory effect on the electrode reaction. The plating rate of electroless silver decreased from 5.7 to 2.3 μm/h when the concentration of PEG 4000 was 1.0 mg/L. Successful filling of different-sized trenches was achieved in an electroless plating bath with the addition of PEG 4000.
SURFACE ENGINEERING AND APPLIED ELECTROCHEMISTRY
(2023)
Article
Energy & Fuels
Ran Xiong, Shunli Wang, Chunmei Yu, Carlos Fernandez, Wei Xiao, Jun Jia
Summary: This paper proposes a method based on the simulated annealing-back propagation (SA-BP) model to estimate the long-term state of health (SOH) of lithium-ion batteries. The method combines the battery single particle (SP) model for online estimation. The introduction of the nonlinear decreasing step-bacterial foraging optimization (NDS-BFO) algorithm improves the identification efficiency.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Lei Chen, Shunli Wang, Hong Jiang, Carlos Fernandez
Summary: A combined estimation method for state of energy (SOE) and predicted maximum available energy, based on a fractional-order composite equivalent circuit model, is proposed to ensure SOE accuracy throughout the battery life cycle. The algorithm utilizes a fixed fractional-order forgetting factor recursive least squares method for parameter identification, an adaptive dual fractional-order extended Kalman filter algorithm for the co-estimation of SOC and SOE, and a fourth-order extended Kalman filter algorithm for the joint estimation of predicted maximum available energy and SOE.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Xueyi Hao, Shunli Wang, Yongcun Fan, Yanxin Xie, Carlos Fernandez
Summary: In this paper, an improved forgetting factor recursive least square (IFFRLS) method for parameter identification and a joint unscented particle filter algorithm for state of charge (SOC) estimation of ternary lithium battery are proposed. Particle swarm optimization (PSO) algorithm is used to select optimal parameter initial value and forgetting factor value to enhance the precision of the FFRLS method. The proposed algorithm, IFFRLS method and unscented particle filtering (UPF) algorithm, shows good convergence and high system robustness in different working conditions, with a final estimation error stable at 1.6%, providing a reference for future research on lithium-ion batteries.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Applied
Haotian Shi, Shunli Wang, Jianhong Liang, Paul Takyi-Aninakwa, Xiao Yang, Carlos Fernandez, Liping Wang
Summary: An efficient adaptive multi-time scale identification strategy is proposed in this paper to achieve high-fidelity modeling of complex kinetic processes inside the battery. A second-order equivalent circuit model network is constructed, and two coupled sub-filters are developed to decouple the kinetic processes based on the time-scale information. The proposed method can reduce the dispersion of parameter identification results and pave the way for adaptive state estimators and efficient embedded applications.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Article
Energy & Fuels
Paul Takyi-Aninakwa, Shunli Wang, Hongying Zhang, Yang Xiao, Carlos Fernandez
Summary: In this paper, a SOC and SOH co-estimation method based on ensemble empirical mode decomposition method with adaptive noise and autoencoder (EEMDA) is proposed. The method accurately estimates the micro-parameters, SOC and SOH for the battery management system (BMS) and shows high accuracy and robustness for battery monitoring and prognostic BMS applications.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Yifei Zhou, Shunli Wang, Yanxing Xie, Xianfeng Shen, Carlos Fernandez
Summary: This paper presents a method for predicting the SOH and RUL of Lithium-ion battery systems based on a data-driven model using improved Grey Wolf optimization algorithm and deep extreme learning machine. The accuracy and robustness of the results were checked by analyzing and verifying the experimental data and extracting health indicators.
Article
Thermodynamics
Shunli Wang, Fan Wu, Paul Takyi-Aninakwa, Carlos Fernandez, Daniel-Ioan Stroe, Qi Huang
Summary: In this paper, an improved SF-GPR-LSTM modeling method is proposed for the estimation of remaining capacity in low-temperature power systems. The model's adaptability is verified using datasets from whole-life-cycle tests on two batteries, and it shows good estimation performance even with only 55% of the data. The proposed SF-GPR-LSTM model enables effective carrier transport synergistic optimization and provides a theoretical foundation for the estimation of battery remaining capacity at extremely low temperatures.
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)