Article
Chemistry, Analytical
V. R. Nidheesh, Aswini Kumar Mohapatra, Rajesh Nayak, V. K. Unnikrishnan, Vasudevan Baskaran Kartha, Santhosh Chidangil
Summary: Breath analysis using spectroscopy techniques is a non-invasive method for disease diagnosis. In this study, a bimodal sensor using a 266 nm UV laser was used for breath analysis. Preliminary analysis of breath samples from Asthma patients and healthy volunteers showed distinct clusters for Asthma and normal breath samples. The method achieved high sensitivity and specificity for both photoacoustic spectroscopy (PAS) and laser-induced fluorescence (LIF). The comparison with an E-nose confirmed the validity of the UV laser-based PAS-LIF bimodal sensor for breath analysis.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Chemistry, Analytical
Maria Elena Tarnok, Luis F. Aguilar, Manuel A. Bravo
Summary: In this study, an analytical method based on fluorescence spectroscopy and multivariate calibration was used to accurately determine the levels of catechins in wine samples. The incorporation of a pH gradient reaction mode improved the predictability and selectivity of catechin detection. The application of the MCR-ALS algorithm allowed for the resolution of systems and yielded satisfactory results, even in the presence of uncalibrated interferences.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Analytical
V. R. Nidheesh, Aswini Kumar Mohapatra, Rajesh Nayak, V. K. Unnikrishnan, Vasudevan Baskaran Kartha, Santhosh Chidangil
Summary: Photoacoustic spectroscopy (PAS) can be used to diagnose asthma by detecting volatile organic compounds (VOCs) in exhaled breath, showing high sensitivity and specificity.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Spectroscopy
Dong Xiao, Zelin Yan, Jian Li, Yanhua Fu, Zhenni Li
Summary: This paper proposes an approach combining reflectance spectroscopy with deep learning for rapid proximate analysis of coal. The proposed model, DR_TELM, extracts effective features from coal spectral data using a convolutional neural network and utilizes a two-hidden-layer extreme learning machine as a regressor for feature identification and content prediction. The experimental results demonstrate that DR_TELM can rapidly and accurately analyze the content prediction of moisture, ash, volatile matter, fixed carbon, and higher heating value of coal.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Chemistry, Multidisciplinary
V. R. Nidheesh, Aswini Kumar Mohapatra, Vasudevan Baskaran Kartha, Santhosh Chidangil
Summary: Breath analysis is an emerging universal diagnostic method for clinical applications and is being explored using different analytical techniques. A multiwavelength UV photoacoustic spectroscopy (PAS) sensor was designed for this purpose, and the optimal laser wavelengths for sample excitation were determined through recording photoacoustic signals from disease and normal conditions. The study showed that laser excitations at 213, 266, and 355 nm are suitable for breath analysis, with 266 nm laser providing reliable descriptive statistics. Further analysis of breath samples from asthma, COPD, and normal subjects using the 266 nm laser showed good classification among the groups. The study demonstrated the potential of the PAS method for diagnostic applications, with a sensitivity and specificity of 88% and 89%, respectively, and a diagnostic capability for lung diseases validated by the area under the ROC curve of 0.948. The results obtained from a commercial E-Nose also supported the PAS findings.
Article
Spectroscopy
Mahsa Mohammadi, Mohammadreza Khanmohammadi Khorrami, Ali Vatani, Hossein Ghasemzadeh, Hamid Vatanparast, Alireza Bahramian, Afshin Fallah
Summary: A rapid quantitative determination method for SARA fractions of crude oil samples was proposed, utilizing ATR-FTIR spectroscopy coupled with chemometric methods. The GA-SVM-R model successfully predicted the SARA analysis of crude oil samples from different Iranian oil fields, showing superior performance compared to other models. This alternative approach is reliable for quantitative determination of SARA analysis in crude oil samples.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Analytical
Theotim Lucas, Mitradeep Sarkar, Yoann Atlas, Clement Linger, Gilles Renault, Florence Gazeau, Jerome Gateau
Summary: Photoacoustic imaging systems are widely used in the biomedical community, and the development of new contrast agents is an active area of research. A calibration method has been developed to enable quantitative spectroscopy of contrast agents in vitro using conventional imaging systems. The method allows for the correction of spectral energy distribution and conversion of image amplitude, and has been demonstrated to be robust and accurate.
Article
Chemistry, Medicinal
Chaoshu Duan, Xuyang Liu, Wensheng Cai, Xueguang Shao
Summary: A perturbator based on deep learning was developed for variable selection in near-infrared spectral analysis. The perturbator was trained to derive positive and negative features from the spectra, and the weight of the perturbator layer can be used to evaluate the importance of the variables. Experimental results showed that the proposed method achieved comparable or better performance in terms of root mean squared error, and the selected spectral variables were interpretable in identifying key spectral features related to the prediction target.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2023)
Article
Spectroscopy
Huan Zhang, Xiaoyun Hu, Limei Liu, Junfu Wei, Xihui Bian
Summary: This study successfully utilized near infrared spectroscopy combined with chemometrics to quantitatively analyze the corn oil content in binary to hexanary edible blend oils. By employing spectral preprocessing and variable selection techniques, accurate prediction models were developed to determine the pure oil content in the blend oils.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Chemistry, Applied
Andrea Machynakova, Mateus P. Schneider, Liudmyla Khvalbota, Olga Vyviurska, Ivan Spanik, Adriano A. Gomes
Summary: A new method combining infrared spectroscopy and multivariate models was developed to characterize Slovak Tokaj Selection wines, successfully predicting the putna index with high accuracy.
Article
Energy & Fuels
Yulin Liu, Dongming Wang, Xiaohan Ren
Summary: This paper introduces the use of laser-induced breakdown spectroscopy assisted by chemometric methods to predict the proximate analysis of coal. By comparing three models, it was found that principal component regression (PCR) is the most accurate and stable prediction method. It not only achieves accurate prediction but also shortens the modeling time.
Article
Engineering, Chemical
Hanyang Li, Leonardo Mazzei, Christopher D. Wallis, Anthony S. Wexler
Summary: A low-cost spark-induced breakdown spectroscopy instrument called TARTA was developed for in-situ analysis of toxic metal aerosol particles, and machine learning methods were applied to improve the quantitative analysis of elemental mass concentrations. The results showed that machine learning models tend to have better prediction accuracy and lower LODs, with the LASSO approach performing the best. The LASSO model developed in this work is a promising machine learning approach for quantifying mass concentration of metals in aerosol particles using TARTA.
JOURNAL OF AEROSOL SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Jesper B. Christensen, David Balslev-Harder, Lars Nielsen, Jan C. Petersen, Mikael Lassen
Summary: This study utilized quartz-enhanced photoacoustic spectroscopy for continuous carbon-dioxide measurements in humid air, revealing that the presence of water molecules can affect the relaxation rate of target molecules and consequently the amplitude of the photoacoustic signal. By pre-calibrating the sensor system and comparing it with a self-calibration method, it was found that the self-calibrated method proved to be more accurate and precise.
Article
Soil Science
Jonathan Sanderman, Asa Gholizadeh, Zampela Pittaki-Chrysodonta, Jingyi Huang, Jose Lucas Safanelli, Richard Ferguson
Summary: Large and publicly available soil spectral libraries are valuable resources for estimating soil properties. In this study, it was found that models developed using the USDA NSSC-KSSL MIR library could be successfully transferred to a secondary instrument with appropriate preprocessing and calibration transfer techniques.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
(2023)
Article
Chemistry, Analytical
Valeria Fonseca Diaz, Jean-Michel Roger, Wouter Saeys
Summary: Traditional calibration transfer involves transferring models between instruments using standard samples. Recent research suggests that transfer techniques can also be applied to achieve calibration transfer between different domains, without the need for standard samples or new reference analyses, for more efficient results.
ANALYTICA CHIMICA ACTA
(2022)
Article
Energy & Fuels
David-Leonardo Canas-Jaimes, Rafael Cabanzo, Enrique Mejia-Ospino
Article
Chemistry, Multidisciplinary
Myriam Y. Torres, Nora A. Guerrero, Tania D. Diaz, Mario A. Macias, Enrique Mejia Ospino, Rafael Cabanzo Hernandez, Gilles H. Gauthier
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2019)
Review
Energy & Fuels
Lina R. Morantes, Ana M. Percebom, Enrique Mejia-Ospino
Article
Biochemistry & Molecular Biology
Y. A. Prada, Fanny Guzman, Claudia Ortiz, Rafael Cabanzo, Rodrigo Torres, Enrique Mejia-Ospino
Article
Energy & Fuels
Alexander Rey Nino, Claudia X. Ramirez, Rafael Cabanzo Hernandez, Hector Picon, Jader Enrique Guerrero, Enrique Mejia-Ospino
Article
Energy & Fuels
Diana Catalina Palacio Lozano, Claudia X. Ramirez, Jose Aristobulo Sarmiento Chaparro, Mary J. Thomas, Remy Gavard, Hugh E. Jones, Rafael Cabanzo Hernandez, Enrique Mejia-Ospino, Mark P. Barrow
Article
Biochemical Research Methods
Y. Andrea Prada, Maria Soler, Fanny Guzman, John J. Castillo, Laura M. Lechuga, Enrique Mejia-Ospino
Summary: Cutaneous leishmaniasis (CL) caused by Leishmania parasite infection can be diagnosed by directly detecting parasites or their DNA in tissue samples, with new diagnostic methodologies targeting specific proteins as biomarkers. High-affinity peptides designed from conservative domains of the lectin family have been shown to interact with biological targets with comparable affinity to high-affinity antibodies.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2021)
Article
Energy & Fuels
Brayan Alberto Arenas-Blanco, Elcy Mariana Perez-Rodriguez, Rafael Cabanzo Hernandez, Nicolas Santos-Santos, Enrique Mejia-Ospino
Summary: This study evaluated the effect of sulfonated graphene oxide nanofluid on interfacial properties in light and medium crude oil-water system. The sulfonation process improved the surfactant effect of GO and favored the formation of stable emulsions.
Article
Biochemical Research Methods
Crisostomo Barajas-Solano, Betsy Munoz, Eduardo Chicano-Galvez, Patricia Escobar, Enrique Mejia-Ospino
Summary: This study proposes a low-cost method to generate detection and classification models for cutaneous leishmaniasis using MALDI-MSI images. The models achieve a 95% efficiency in separating healthy samples from infected samples and 67% effectiveness in differentiating successfully treated samples from unsuccessfully treated samples.
JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
(2022)
Article
Chemistry, Physical
Brayan Alberto Arenas-Blanco, Leonardo Munoz-Rugeles, Rafael Cabanzo-Hernandez, Enrique Mejia-Ospino
Summary: Experimental studies have shown that chemical modification of graphene oxide with n-alkylamines can control its interfacial activity in oil-water systems and favor the formation of emulsions. In this research, Molecular Dynamics simulations were used to evaluate the interfacial activity of graphene oxide functionalized with different alkylamines of varying chain lengths. The results indicate that the alkylamine chain length can control the hydrophilicity and hydrophobicity of the graphene oxide, and the functionalized materials exhibit decreased interfacial tension in the oil-water system.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Construction & Building Technology
Daniel A. Triana-Camacho, Jorge H. Quintero-Orozco, Enrique Mejia-Ospino, German Castillo-Lopez, Enrique Garcia-Macias
Summary: Piezoresistivity is commonly used in cement-based smart composites for strain-monitoring, but the requirement of external electric power limits its scalability. This study explores the piezoelectric properties of cement composites doped with reduced graphene oxide (rGO) and their potential as self-powered strain sensors. A comprehensive methodology including voltammetry measurements, open circuit potential determination, and uniaxial compression testing is developed to determine the piezoelectric coefficients and validate the circuital model for signal processing.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Materials Science, Multidisciplinary
Jimena Lizeth Gomez-Delgado, John Jairo Rodriguez-Molina, Julio Cesar Perez-Angulo, Nicolas Santos-Santos, Enrique Mejia-Ospino
Summary: This study demonstrates the use of graphene oxide to alter the interaction between sandstone rock and crude oil. Results show that while interfacial tension did not significantly change, the adsorption of graphene oxide on the rock surface altered the wettability of the sandstone, improving the recovery process.
EMERGENT MATERIALS
(2023)
Article
Chemistry, Physical
Leonardo Munoz-Rugeles, Brayan Alberto Arenas-Blanco, Jorge M. del Campo, Enrique Mejia-Ospino
Summary: The wettability of graphene oxide functionalized with N-alkylamines was studied using molecular dynamics simulations. It was found that water contact angles increased with both the alkyl chain length and substitution degree. The Wenzel model was used to evaluate the effects of surface roughness and alkyl chain length on wettability, and it was observed that functionalization increased surface roughness, but this effect was counteracted by the alkyl chain length.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Polymer Science
Ely Dannier V-Nino, Quentin Lonne, Andres Diaz Lantada, Enrique Mejia-Ospino, Hugo Armando Estupinan Duran, Rafael Cabanzo Hernandez, Gustavo Ramirez-Caballero, Jose Luis Endrino
Article
Chemistry, Analytical
Claudia X. Ramirez, Diana Catalina Palacio Lozano, Hugh E. Jones, Rafael Cabanzo Hernandez, Mark P. Barrow, Enrique Mejia-Ospino
Article
Energy & Fuels
Yingna Du, Chen Huang, Wei Jiang, Qiangwei Yan, Yongfei Li, Gang Chen
Summary: In this study, anionic surfactants modified hydrotalcite was used as a flow improver for crude oil under low-temperature conditions. The modified hydrotalcite showed a significant viscosity reduction effect on crude oil. The mechanism of the modified hydrotalcite on viscosity and pour point of crude oil was explored through characterization and analysis of the modified hydrotalcite and oil samples.
Article
Energy & Fuels
Mohammad Saeid Rostami, Mohammad Mehdi Khodaei
Summary: In this study, a hybrid structure, MIL-53(Al)@MWCNT, was synthesized by combining MIL-53(Al) particles and -COOH functionalized multi-walled carbon nanotube (MWCNT). The hybrid structure was then embedded in a polyethersulfone (PES) polymer matrix to prepare a mixed matrix membrane (MMM) for CO2/CH4 and CO2/N2 separation. The addition of MWCNTs prevented MIL-53(Al) aggregation, improved membrane mechanical properties, and enhanced gas separation efficiency.
Article
Energy & Fuels
Yunlong Li, Desheng Huang, Xiaomeng Dong, Daoyong Yang
Summary: This study develops theoretical and experimental techniques to determine the phase behavior and physical properties of DME/flue gas/water/heavy oil systems. Eight constant composition expansion (CCE) tests are conducted to obtain new experimental data. A thermodynamic model is used to accurately predict saturation pressure and swelling factors, as well as the phase boundaries of N2/heavy oil systems and DME/CO2/heavy oil systems, with high accuracy.
Article
Energy & Fuels
Morteza Afkhamipour, Ebad Seifi, Arash Esmaeili, Mohammad Shamsi, Tohid N. Borhani
Summary: Non-conventional amines are being researched worldwide to overcome the limitations of traditional amines like MEA and MDEA. Adequate process and thermodynamic models are crucial for understanding the applicability and performance of these amines in CO2 absorption, but studies on process modeling for these amines are limited. This study used rate-based modeling and Deshmukh-Mather method to model CO2 absorption by DETA solution in a packed column, validated the model with experimental data, and conducted a sensitivity analysis of mass transfer correlations. The study also compared the CO2 absorption efficiency of DETA solution with an ionic solvent [bmim]-[PF6] and highlighted the importance of finding optimum operational parameters for maximum absorption efficiency.
Article
Energy & Fuels
Arastoo Abdi, Mohamad Awarke, M. Reza Malayeri, Masoud Riazi
Summary: The utilization of smart water in EOR operations has gained attention, but more research is needed to understand the complex mechanisms involved. This study investigated the interfacial tension between smart water and crude oil, considering factors such as salt, pH, asphaltene type, and aged smart water. The results revealed that the hydration of ions in smart water plays a key role in its efficacy, with acidic and basic asphaltene acting as intrinsic surfactants. The pH also influenced the interfacial tension, and the aged smart water's interaction with crude oil depended on asphaltene type, salt, and salinity.
Article
Energy & Fuels
Dongao Zhu, Kun Zhu, Lixian Xu, Haiyan Huang, Jing He, Wenshuai Zhu, Huaming Li, Wei Jiang
Summary: In this study, cobalt-based metal-organic frameworks (Co-based MOFs) were used as supports and co-catalysts to confine the NHPI catalyst, solving the leaching issue. The NHPI@Co-MOF with carboxyl groups exhibited stronger acidity and facilitated the generation of active oxygen radicals O2•, resulting in enhanced catalytic activity. This research provides valuable insights into the selection of suitable organic linkers and broadens the research horizon of MOF hybrids in efficient oxidative desulfurization (ODS) applications.
Article
Energy & Fuels
Edwin G. Hoyos, Gloria Amo-Duodu, U. Gulsum Kiral, Laura Vargas-Estrada, Raquel Lebrero, Rail Munoz
Summary: This study investigated the impact of carbon-coated zero-valent nanoparticle concentration on photosynthetic biogas upgrading. The addition of nanoparticles significantly increased microalgae productivity and enhanced nitrogen and phosphorus assimilation. The presence of nanoparticles also improved the quality of biomethane produced.
Article
Energy & Fuels
Yao Xiao, Asma Leghari, Linfeng Liu, Fangchao Yu, Ming Gao, Lu Ding, Yu Yang, Xueli Chen, Xiaoyu Yan, Fuchen Wang
Summary: Iron is added as a flocculant in wastewater treatment and the hydrothermal carbonization (HTC) of sludge produces wastewater containing Fe. This study investigates the effect of aqueous phase (AP) recycling on hydrochar properties, iron evolution and environmental assessment during HTC of sludge. The results show that AP recycling process improves the dewatering performance of hydrochar and facilitates the recovery of Fe from the liquid phase.
Article
Energy & Fuels
He Liang, Tao Wang, Zhenmin Luo, Jianliang Yu, Weizhai Yi, Fangming Cheng, Jingyu Zhao, Xingqing Yan, Jun Deng, Jihao Shi
Summary: This study investigated the influence of inhibitors (carbon dioxide, nitrogen, and heptafluoropropane) on the lower flammability limit of hydrogen and determined the critical inhibitory concentration needed for complete suppression. The impact of inhibitors on explosive characteristics was evaluated, and the inhibitory mechanism was analyzed with chemical kinetics. The results showed that with the increase of inhibitor quantity, the lower flammability limit of hydrogen also increased. The research findings can contribute to the safe utilization of hydrogen energy.
Article
Energy & Fuels
Zonghui Liu, Zhongze Zhang, Yali Zhou, Ziling Wang, Mingyang Du, Zhe Wen, Bing Yan, Qingxiang Ma, Na Liu, Bing Xue
Summary: In this study, high-performance solid catalysts based on phosphotungstic acid (HPW) supported on Zr-SBA-15 were synthesized and evaluated for the one-pot conversion of furfural (FUR) to γ-valerolactone (GVL). The catalysts were characterized using various techniques, and the ratio of HPW and Zr was found to significantly affect the selectivity of GVL. The HPW/Zr-SBA-15 (2-4-15) catalyst exhibited the highest GVL yield (83%) under optimized reaction conditions, and it was determined that a balance between Bronsted acid sites (BAS) and Lewis acid sites (LAS) was crucial for achieving higher catalytic performance. The reaction parameters and catalyst stability were also investigated.
Article
Energy & Fuels
Michael Stoehr, Stephan Ruoff, Bastian Rauch, Wolfgang Meier, Patrick Le Clercq
Summary: As part of the global energy transition, an experimental study was conducted to understand the effects of different fuel properties on droplet vaporization for various conventional and alternative fuels. The study utilized a flow channel to measure the evolution of droplet diameters over time and distance. The results revealed the temperature-dependent effects of physical properties, such as boiling point, liquid density, and enthalpy of vaporization, and showed the complex interactions of preferential vaporization and temperature-dependent influences of physical properties for multi-component fuels.
Article
Energy & Fuels
Yuan Zhuang, Ruikang Wu, Xinyan Wang, Rui Zhai, Changyong Gao
Summary: Through experimental validation and optimization of the chemical kinetic model, it was found that methanol can accelerate the oxidation reaction of ammonia, and methanol can be rapidly oxidized at high concentration. HO2 was found to generate a significant amount of OH radicals, facilitating the oxidation of methanol and ammonia. Rating: 7.5/10.
Article
Energy & Fuels
Radwan M. EL-Zohairy, Ahmed S. Attia, A. S. Huzayyin, Ahmed I. EL-Seesy
Summary: This paper presents a lab-scale experimental study on the impact of diethyl ether (DEE) as an additive to waste cooking oil biodiesel with Jet A-1 on combustion and emission features of a swirl-stabilized premixed flame. The addition of DEE to biodiesel significantly affects the flame temperature distribution and emissions. The W20D20 blend of DEE, biodiesel, and Jet A-1 shows similar flame temperature distribution to Jet A-1 and significantly reduces UHC, CO, and NOx emissions compared to Jet A-1.
Article
Energy & Fuels
Jiang Bian, Ziyuan Zhao, Yang Liu, Ran Cheng, Xuerui Zang, Xuewen Cao
Summary: This study presents a novel method for ammonia separation using supersonic flow and develops a mathematical model to investigate the condensation phenomenon. The results demonstrate that the L-P nucleation model accurately characterizes the nucleation process of ammonia at low temperatures. Numerical simulations also show that increasing pressure and concentration can enhance ammonia condensation efficiency.
Article
Energy & Fuels
Shiyuan Pan, Xiaodan Shi, Beibei Dong, Jan Skvaril, Haoran Zhang, Yongtu Liang, Hailong Li
Summary: Integrating CO2 capture with biomass-fired combined heat and power (bio-CHP) plants is a promising method for achieving negative emissions. This study develops a reliable data-driven model based on the Transformer architecture to predict the flowrate and CO2 concentration of flue gas in real time. The model validation shows high prediction accuracy, and the potential impact of meteorological parameters on model accuracy is assessed. The results demonstrate that the Transformer model outperforms other models and using near-infrared spectral data as input features improves the prediction accuracy.