The Experts below are selected from a list of 82590 Experts worldwide ranked by ideXlab platform
Gangfeng Ouyang - One of the best experts on this subject based on the ideXlab platform.
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Carbon and Tin-Based Polyacrylonitrile Hybrid Architecture Solid Phase Microextraction Fiber for the Detection and Quantification of Antibiotic Compounds in Aqueous Environmental Systems
MDPI AG, 2019Co-Authors: Sandip Mondal, Jialing Jiang, Gangfeng OuyangAbstract:In this study, the detection and quantification of multiple classes of antibiotics in water matrices are proposed using a lab-Made solid phase microextraction (SPME) Fiber coupled with high-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). The lab-Made Fiber was prepared using a graphene oxide (G), carbon nanotubes (C), and tin dioxide (T) composite, namely GCT, with polyacrylonitrile (PAN) as supporting material. The detected antibiotics were enrofloxacin, sulfathiazole, erythromycin, and trimethoprim. The custom-Made Fiber was found to be superior compared with a commercial C18 Fiber. The excellent reproducibility and lower intra-Fiber relative standard deviations (RSDs 1.8% to 6.8%) and inter-Fiber RSDs (4.5% to 8.8%) Made it an ideal candidate for the detection of traces of antibiotics in real environmental samples. The proposed validated method provides a satisfactory limit of detection and good linear ranges with higher (>0.99) coefficient of determination in the aqueous system. Application of the method was Made in different real water systems such as river, pond and tap water using the standard spiking method. Excellent sensitivity, reproducibility, lower amount of sample detection and higher recovery was found in a real water sample. Therefore, the extraction method was successfully applied to the detection and quantification of multiple classes of antibiotics in different aqueous systems with satisfactory results
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low cost scholl coupling microporous polymer as an efficient solid phase microextraction coating for the detection of light aromatic compounds
Analytica Chimica Acta, 2018Co-Authors: Xintong Xie, Junhui Wang, Juan Zheng, Junlong Huang, Jie Cheng, Zhengping Hao, Gangfeng OuyangAbstract:Abstract A cost-effective microporous polymer was synthesized using cheap monomer and catalyst via one-step Scholl-coupling reaction, and its chemical, morphological characteristics and pore structure were investigated. The as-synthesized polymer with large surface area and narrow pore distribution (centered in 1.2 nm) was prepared as a Fiber coating for solid-phase microextraction (SPME). Headspace SPME was used for the extraction of the light aromatic compounds, e.g. benzene, toluene, ethylbenzene, m-xylene, naphthalene and acenaphthene. The parameters influencing the extraction and desorption efficiencies, such as extraction temperature and time, salt concentration, desorption temperature and time were investigated and optimized. The results showed that the home-Made Fiber had superior extraction efficiencies compared with the commercial PDMS Fiber. Under the optimized conditions, low detection limits (0.01–1.3 ng/L), wide linear ranges (from 50 to 20000 ng/L to 1–20000 ng/L), good repeatability (4.2–9.3%, n = 6) and reproducibility (0.30–11%, n = 3) were achieved. Moreover, the practical applicability of the coating and proposed method was evaluated by determining the target light aromatic compounds in environmental water samples with satisfied recoveries (83.2%–116%).
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fabrication of a polymeric composite incorporating metal organic framework nanosheets for solid phase microextraction of polycyclic aromatic hydrocarbons from water samples
Analytica Chimica Acta, 2017Co-Authors: Songbo Wei, Yuan Liu, Fang Zhu, Wei Lin, Ying Wang, Shuqin Liu, Gangfeng OuyangAbstract:Abstract In this contribution, it was discovered that even distribution of a metal-organic framework (MOF) [e.g. copper 1,4-benzenedicarboxylate (CBDC)] within polymeric matrixes (e.g. polyimide) resulted in a high-efficient coating material on the surface of a stainless steel wire (SSW). Consequently, a home-Made solid phase microextraction (SPME) Fiber was fabricated for fast determination of target analytes in real water samples. Scanning electron microscope images indicated that the coating possessed homogenously porous surface. Coupled with gas chromatography-mass spectrometry (GC-MS) and direct immersion SPME (DI-SPME) technique, the Fiber was evaluated through the analysis of five polycyclic aromatic hydrocarbons (PAHs) in aqueous samples. Under optimized extraction and desorption conditions, the established method based on the home-Made Fiber exhibited good repeatability (4.2–12.7%, n = 6) and reproducibility (0.9–11.7%, n = 3), low limits of detection (LODs, 0.11–2.10 ng L −1 ), low limits of quantification (LOQs, 0.36–6.99 ng L −1 ) and wide linear ranges (20–5000 ng L −1 ). Eventually, the method was proven applicable in the determination of PAHs in real samples, as the recoveries were in a satisfactory range (81.7–116%).
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polyelectrolyte microcapsules dispersed in silicone rubber for in vivo sampling in fish brains
Analytical Chemistry, 2015Co-Authors: Shuyao Huang, Muzi Yang, Yan Liu, Yuan Liu, Ruifen Jiang, Fang Zhu, Gangfeng OuyangAbstract:Direct detection of fluoxetine and its metabolite norfluoxetine in living fish brains was realized for the first time by using a novel solid-phase microextraction Fiber, which was prepared by mixing the polyelectrolyte in the oligomer of silicone rubber and followed by in-mold heat-curing. The polyelectrolyte was finally encased in microcapsules dispersed in the cured silicone rubber. The Fiber exhibited excellent interFiber reproducibility (5.4–7.1%, n = 6), intraFiber reproducibility (3.7–4.6%, n = 6), and matrix effect-resistant capacity. Due to the capacity of simultaneously extracting the neutral and the protonated species of the analytes at physiological pH, the Fiber exhibited high extraction efficiencies to fluoxetine and norfluoxetine. Besides, the effect of the salinity on the extraction performance and the competitive sorption between the analytes were also evaluated. Based on the small-sized custom-Made Fiber, the concentrations of fluoxetine and norfluoxetine in the brains of living fish, whi...
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preparation and characterization of metal organic framework mil 101 cr coated solid phase microextraction Fiber
Analytica Chimica Acta, 2015Co-Authors: Lijun Xie, Ruifen Jiang, Fang Zhu, Shuqin Liu, Zhubing Han, Hong Liu, Feng Zeng, Gangfeng OuyangAbstract:Metal-organic frameworks (MOFs) have received great attention as novel sorbents due to their fascinating structures and intriguing potential applications in various fields. In this work, a MIL-101(Cr)-coated solid-phase microextraction (SPME) Fiber was fabricated by a simple direct coating method and applied to the determination of volatile compounds (BTEX, benzene, toluene, ethylbenzene, m-xylene and o-xylene) and semi-volatile compounds (PAHs, polycyclic aromatic hydrocarbons) from water samples. The extraction and desorption conditions of headspace SPME (HS-SPME) were optimized. Under the optimized conditions, the established methods exhibited excellent extraction performance. Good precision (<7.7%) and low detection limits (0.32–1.7 ng L−1 and 0.12–2.1 ng L−1 for BTEX and PAHs, respectively) were achieved. In addition, the MIL-101(Cr)-coated Fiber possessed good thermal stability, and the Fiber can be reused over 150 times. The Fiber was successfully applied to the analysis of BTEX and PAHs in river water by coupling with gas chromatography–mass spectrometry (GC–MS). The analytes at low concentrations (1.7 and 10 ng L−1) were detected, and the recoveries obtained with the spiked river water samples were in the range of 80.0–113% and 84.8–106% for BTEX and PAHs, respectively, which demonstrated the applicability of the self-Made Fiber.
Azhar Zam - One of the best experts on this subject based on the ideXlab platform.
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miniaturized optoacoustic feedback sensor for smart laser osteotome Fiber coupled fabry perot etalon sensor
Sensors and Actuators A-physical, 2021Co-Authors: Herve Nguendon Kenhagho, Ferda Canbaz, Raphael Guzman, Philippe C Cattin, Azhar ZamAbstract:Abstract We report on a custom-Made, Fiber-coupled Fabry-Perot etalon sensor to measure the acoustic shock waves (ASW) generated during laser ablation. A frequency-doubled Nd:YAG laser (532 nm) with a 5 ns pulse duration was used to produce craters on the surfaces of five different tissues —hard and soft bone, muscle, fat and skin— from five fresh porcine proximal and distal femur specimens. After collecting the ASW signals generated during laser ablation, we split the Fourier spectrum of the measured ASW into six equal bands and used each as an input for principal component analysis (PCA). We used PCA to reduce the dimensionality of each band and fed the PCA scores to an Artificial Neural Network (ANN) for classification. The most accurate tissue differentiation occurred at a band of 1.67–2.08 MHz. In total 18000 data points were collected from the femur samples and split into training (10800), validation (3600, and testing (3600) data. From a confusion matrix and the receiver operating characteristic (ROC), we observed that the experimental-based scores of hard and soft bone, fat, muscle and skin yielded average classification accuracies (with leave-one-out cross-validation) of 100 %, 99.55 %, 88.89%, 99.33%, and 100%, respectively. The area under the ROC curve (AUC) was more than 98.61 %, for all tissue types. The proposed method has the potential to provide real-time feedback during laser osteotomy, to prevent the cutting of vital tissues.
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a first approach to miniaturized optoacoustic feedback sensor for smart laser osteotome Fiber coupled fabry perot etalon sensor
IEEE Sensors, 2019Co-Authors: Herve Nguendon Kenhagho, Ferda Canbaz, Raphael Guzman, Philippe C Cattin, Georg Rauter, Azhar ZamAbstract:We used a custom-Made, Fiber-coupled Fabry-Perot etalon sensor to measure the acoustic shock waves (ASW) generated during laser ablation. Based on the ASW signal measured, we could differentiate hard bone, muscle, and fat tissues with an average classification error of 6.39 %. A frequency-doubled Nd:YAG laser (532 nm) with a 5 ns pulse duration, was used to produce craters on the surface of tissues derived from an extracted fresh porcine proximal femur. After recording the ASW signals generated during laser ablation, we split the Fourier spectrum of measured ASWs into six equal bands and each used as an input for Principal Component Analysis (PCA). We used PCA to reduce the dimensionality of each band, and the Mahalanobis distance measure to classify tissue types based on the PC-scores. The most accurate differentiation was possible in the band of 1.25–1.67 MHz. The first 840 data points measured were used as "training data", while the last 360 were considered "testing data". Based on a confusion matrix, the ASW-based scores yielded classification errors of 5 % (hard bone), 6.94 % (muscle) and 7.22 % (fat), respectively. The proposed method has the potential for real-time feedback during laser osteotomy.
Raphael Guzman - One of the best experts on this subject based on the ideXlab platform.
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miniaturized optoacoustic feedback sensor for smart laser osteotome Fiber coupled fabry perot etalon sensor
Sensors and Actuators A-physical, 2021Co-Authors: Herve Nguendon Kenhagho, Ferda Canbaz, Raphael Guzman, Philippe C Cattin, Azhar ZamAbstract:Abstract We report on a custom-Made, Fiber-coupled Fabry-Perot etalon sensor to measure the acoustic shock waves (ASW) generated during laser ablation. A frequency-doubled Nd:YAG laser (532 nm) with a 5 ns pulse duration was used to produce craters on the surfaces of five different tissues —hard and soft bone, muscle, fat and skin— from five fresh porcine proximal and distal femur specimens. After collecting the ASW signals generated during laser ablation, we split the Fourier spectrum of the measured ASW into six equal bands and used each as an input for principal component analysis (PCA). We used PCA to reduce the dimensionality of each band and fed the PCA scores to an Artificial Neural Network (ANN) for classification. The most accurate tissue differentiation occurred at a band of 1.67–2.08 MHz. In total 18000 data points were collected from the femur samples and split into training (10800), validation (3600, and testing (3600) data. From a confusion matrix and the receiver operating characteristic (ROC), we observed that the experimental-based scores of hard and soft bone, fat, muscle and skin yielded average classification accuracies (with leave-one-out cross-validation) of 100 %, 99.55 %, 88.89%, 99.33%, and 100%, respectively. The area under the ROC curve (AUC) was more than 98.61 %, for all tissue types. The proposed method has the potential to provide real-time feedback during laser osteotomy, to prevent the cutting of vital tissues.
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a first approach to miniaturized optoacoustic feedback sensor for smart laser osteotome Fiber coupled fabry perot etalon sensor
IEEE Sensors, 2019Co-Authors: Herve Nguendon Kenhagho, Ferda Canbaz, Raphael Guzman, Philippe C Cattin, Georg Rauter, Azhar ZamAbstract:We used a custom-Made, Fiber-coupled Fabry-Perot etalon sensor to measure the acoustic shock waves (ASW) generated during laser ablation. Based on the ASW signal measured, we could differentiate hard bone, muscle, and fat tissues with an average classification error of 6.39 %. A frequency-doubled Nd:YAG laser (532 nm) with a 5 ns pulse duration, was used to produce craters on the surface of tissues derived from an extracted fresh porcine proximal femur. After recording the ASW signals generated during laser ablation, we split the Fourier spectrum of measured ASWs into six equal bands and each used as an input for Principal Component Analysis (PCA). We used PCA to reduce the dimensionality of each band, and the Mahalanobis distance measure to classify tissue types based on the PC-scores. The most accurate differentiation was possible in the band of 1.25–1.67 MHz. The first 840 data points measured were used as "training data", while the last 360 were considered "testing data". Based on a confusion matrix, the ASW-based scores yielded classification errors of 5 % (hard bone), 6.94 % (muscle) and 7.22 % (fat), respectively. The proposed method has the potential for real-time feedback during laser osteotomy.
Herve Nguendon Kenhagho - One of the best experts on this subject based on the ideXlab platform.
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miniaturized optoacoustic feedback sensor for smart laser osteotome Fiber coupled fabry perot etalon sensor
Sensors and Actuators A-physical, 2021Co-Authors: Herve Nguendon Kenhagho, Ferda Canbaz, Raphael Guzman, Philippe C Cattin, Azhar ZamAbstract:Abstract We report on a custom-Made, Fiber-coupled Fabry-Perot etalon sensor to measure the acoustic shock waves (ASW) generated during laser ablation. A frequency-doubled Nd:YAG laser (532 nm) with a 5 ns pulse duration was used to produce craters on the surfaces of five different tissues —hard and soft bone, muscle, fat and skin— from five fresh porcine proximal and distal femur specimens. After collecting the ASW signals generated during laser ablation, we split the Fourier spectrum of the measured ASW into six equal bands and used each as an input for principal component analysis (PCA). We used PCA to reduce the dimensionality of each band and fed the PCA scores to an Artificial Neural Network (ANN) for classification. The most accurate tissue differentiation occurred at a band of 1.67–2.08 MHz. In total 18000 data points were collected from the femur samples and split into training (10800), validation (3600, and testing (3600) data. From a confusion matrix and the receiver operating characteristic (ROC), we observed that the experimental-based scores of hard and soft bone, fat, muscle and skin yielded average classification accuracies (with leave-one-out cross-validation) of 100 %, 99.55 %, 88.89%, 99.33%, and 100%, respectively. The area under the ROC curve (AUC) was more than 98.61 %, for all tissue types. The proposed method has the potential to provide real-time feedback during laser osteotomy, to prevent the cutting of vital tissues.
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a first approach to miniaturized optoacoustic feedback sensor for smart laser osteotome Fiber coupled fabry perot etalon sensor
IEEE Sensors, 2019Co-Authors: Herve Nguendon Kenhagho, Ferda Canbaz, Raphael Guzman, Philippe C Cattin, Georg Rauter, Azhar ZamAbstract:We used a custom-Made, Fiber-coupled Fabry-Perot etalon sensor to measure the acoustic shock waves (ASW) generated during laser ablation. Based on the ASW signal measured, we could differentiate hard bone, muscle, and fat tissues with an average classification error of 6.39 %. A frequency-doubled Nd:YAG laser (532 nm) with a 5 ns pulse duration, was used to produce craters on the surface of tissues derived from an extracted fresh porcine proximal femur. After recording the ASW signals generated during laser ablation, we split the Fourier spectrum of measured ASWs into six equal bands and each used as an input for Principal Component Analysis (PCA). We used PCA to reduce the dimensionality of each band, and the Mahalanobis distance measure to classify tissue types based on the PC-scores. The most accurate differentiation was possible in the band of 1.25–1.67 MHz. The first 840 data points measured were used as "training data", while the last 360 were considered "testing data". Based on a confusion matrix, the ASW-based scores yielded classification errors of 5 % (hard bone), 6.94 % (muscle) and 7.22 % (fat), respectively. The proposed method has the potential for real-time feedback during laser osteotomy.
Fang Zhu - One of the best experts on this subject based on the ideXlab platform.
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fabrication of a polymeric composite incorporating metal organic framework nanosheets for solid phase microextraction of polycyclic aromatic hydrocarbons from water samples
Analytica Chimica Acta, 2017Co-Authors: Songbo Wei, Yuan Liu, Fang Zhu, Wei Lin, Ying Wang, Shuqin Liu, Gangfeng OuyangAbstract:Abstract In this contribution, it was discovered that even distribution of a metal-organic framework (MOF) [e.g. copper 1,4-benzenedicarboxylate (CBDC)] within polymeric matrixes (e.g. polyimide) resulted in a high-efficient coating material on the surface of a stainless steel wire (SSW). Consequently, a home-Made solid phase microextraction (SPME) Fiber was fabricated for fast determination of target analytes in real water samples. Scanning electron microscope images indicated that the coating possessed homogenously porous surface. Coupled with gas chromatography-mass spectrometry (GC-MS) and direct immersion SPME (DI-SPME) technique, the Fiber was evaluated through the analysis of five polycyclic aromatic hydrocarbons (PAHs) in aqueous samples. Under optimized extraction and desorption conditions, the established method based on the home-Made Fiber exhibited good repeatability (4.2–12.7%, n = 6) and reproducibility (0.9–11.7%, n = 3), low limits of detection (LODs, 0.11–2.10 ng L −1 ), low limits of quantification (LOQs, 0.36–6.99 ng L −1 ) and wide linear ranges (20–5000 ng L −1 ). Eventually, the method was proven applicable in the determination of PAHs in real samples, as the recoveries were in a satisfactory range (81.7–116%).
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polyelectrolyte microcapsules dispersed in silicone rubber for in vivo sampling in fish brains
Analytical Chemistry, 2015Co-Authors: Shuyao Huang, Muzi Yang, Yan Liu, Yuan Liu, Ruifen Jiang, Fang Zhu, Gangfeng OuyangAbstract:Direct detection of fluoxetine and its metabolite norfluoxetine in living fish brains was realized for the first time by using a novel solid-phase microextraction Fiber, which was prepared by mixing the polyelectrolyte in the oligomer of silicone rubber and followed by in-mold heat-curing. The polyelectrolyte was finally encased in microcapsules dispersed in the cured silicone rubber. The Fiber exhibited excellent interFiber reproducibility (5.4–7.1%, n = 6), intraFiber reproducibility (3.7–4.6%, n = 6), and matrix effect-resistant capacity. Due to the capacity of simultaneously extracting the neutral and the protonated species of the analytes at physiological pH, the Fiber exhibited high extraction efficiencies to fluoxetine and norfluoxetine. Besides, the effect of the salinity on the extraction performance and the competitive sorption between the analytes were also evaluated. Based on the small-sized custom-Made Fiber, the concentrations of fluoxetine and norfluoxetine in the brains of living fish, whi...
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preparation and characterization of metal organic framework mil 101 cr coated solid phase microextraction Fiber
Analytica Chimica Acta, 2015Co-Authors: Lijun Xie, Ruifen Jiang, Fang Zhu, Shuqin Liu, Zhubing Han, Hong Liu, Feng Zeng, Gangfeng OuyangAbstract:Metal-organic frameworks (MOFs) have received great attention as novel sorbents due to their fascinating structures and intriguing potential applications in various fields. In this work, a MIL-101(Cr)-coated solid-phase microextraction (SPME) Fiber was fabricated by a simple direct coating method and applied to the determination of volatile compounds (BTEX, benzene, toluene, ethylbenzene, m-xylene and o-xylene) and semi-volatile compounds (PAHs, polycyclic aromatic hydrocarbons) from water samples. The extraction and desorption conditions of headspace SPME (HS-SPME) were optimized. Under the optimized conditions, the established methods exhibited excellent extraction performance. Good precision (<7.7%) and low detection limits (0.32–1.7 ng L−1 and 0.12–2.1 ng L−1 for BTEX and PAHs, respectively) were achieved. In addition, the MIL-101(Cr)-coated Fiber possessed good thermal stability, and the Fiber can be reused over 150 times. The Fiber was successfully applied to the analysis of BTEX and PAHs in river water by coupling with gas chromatography–mass spectrometry (GC–MS). The analytes at low concentrations (1.7 and 10 ng L−1) were detected, and the recoveries obtained with the spiked river water samples were in the range of 80.0–113% and 84.8–106% for BTEX and PAHs, respectively, which demonstrated the applicability of the self-Made Fiber.
