4.7 Article

Synthesis, structure, and UV-enhanced gas sensing properties of Au-functionalized ZnS nanowires

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 188, Issue -, Pages 1270-1276

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2013.07.076

Keywords

ZnS nanowire; Gas sensor; NO2; Au functionalization; UV

Funding

  1. Key Research Institute Program' through the National Research Foundation of Korea (NRF)
  2. Ministry of Education, Science and Technology [2011-0018394]

Ask authors/readers for more resources

Au-functionalized ZnS nanowires were prepared for use as gas sensors. Scanning electron microscopy revealed the diameters and lengths of the nanowires ranging from 20 to 100 nm and from a few tens to a few hundreds of micrometers, respectively. X-ray diffraction and transmission electron microscopy revealed that ZnS nanowires and Au nanoparticles were monocrystalline and polycrystalline, respectively. The responses of multiple networked ZnS nanowire sensors to 1-5 ppm NO2 were increased 1.6- to 1.9-fold and 2.8- to 5.4-fold by Au functionalization and a combination of Au functionalization and UV irradiation, respectively. Au-functionalized ZnS nanowire sensors showed responses of 168-313% to 1-5 ppm NO2 at 300 degrees C in the dark. These values are comparable or superior to most semiconductor oxide one-dimensional nanostructures-based sensors reported in the literature. Furthermore, Au-functionalized ZnS nanowire sensors showed far higher responses (291-884%) to 1-5 ppm NO2 at 300 degrees C under UV illumination. The NO2 gas sensing mechanism of the Au-functionalized ZnS nanowire sensors under UV illumination is discussed. (C) 2013 Elsevier B. V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Materials Science, Multidisciplinary

Effects of annealing temperature on the H2-sensing properties of Pd-decorated WO3 nanorods

Sangmin Lee, Woo Seok Lee, Jae Kyung Lee, Soong Keun Hyun, Chongmu Lee, Seungbok Choi

APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING (2018)

Article Computer Science, Interdisciplinary Applications

Non-associative learning processes in vestibular nucleus

Gyutae Kim, Kyu-Sung Kim, Sangmin Lee

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2018)

Article Computer Science, Information Systems

A Machine Learning Approach to Fitting Prescription for Hearing Aids

S. I. M. M. Raton Mondol, Sangmin Lee

ELECTRONICS (2019)

Article Computer Science, Interdisciplinary Applications

Dominant parameter of galvanic vestibular stimulation for the non-associative learning processes

Gyutae Kim, Sangmin Lee, Kyu-Sung Kim

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2020)

Article Environmental Sciences

Environmental Noise Classification Using Convolutional Neural Networks with Input Transform for Hearing Aids

Gyuseok Park, Sangmin Lee

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Chemistry, Multidisciplinary

Speech Enhancement for Hearing Aids with Deep Learning on Environmental Noises

Gyuseok Park, Woohyeong Cho, Kyu-Sung Kim, Sangmin Lee

APPLIED SCIENCES-BASEL (2020)

Article Biophysics

A NEW AUTO-SCORING ALGORITHM FOR BALANCE ASSESSMENT WITH WEARABLE IMU DEVICE BASED ON NONLINEAR MODEL

Yeon Wook Kim, Woo Hyeong Cho, Kyung Lim Joa, Han Young Jung, Sangmin Lee

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY (2020)

Article Computer Science, Information Systems

An Effective Learning Method for Automatic Speech Recognition in Korean CI Patients' Speech

Jiho Jeong, S. I. M. M. Raton Mondol, Yeon Wook Kim, Sangmin Lee

Summary: An effective finetuning and augmentation ASR model is proposed in this study, targeting non-standard speech of cochlear implant (CI) patients, which achieved a 62% improvement in character error rate compared to the basic method.

ELECTRONICS (2021)

Article Chemistry, Analytical

Inertial-Measurement-Unit-Based Novel Human Activity Recognition Algorithm Using Conformer

Yeon-Wook Kim, Woo-Hyeong Cho, Kyu-Sung Kim, Sangmin Lee

Summary: In this study, a state-of-the-art conformer model was introduced in human activity recognition (HAR) to improve the performance of transformer-based HAR models. The proposed conformer-based model showed better performance than baseline models and previous algorithms that do not use recurrent neural network (RNN) series.

SENSORS (2022)

Article Biophysics

OVERSAMPLING TECHNIQUE-BASED DATA AUGMENTATION AND 1D-CNN AND BIDIRECTIONAL GRU ENSEMBLE MODEL FOR HUMAN ACTIVITY RECOGNITION

Yeon Wook Kim, Woo Hyeong Cho, Kyu Sung Kim, Sangmin Lee

Summary: In this study, the performance of the human activity recognition algorithm was improved by introducing an oversampling technique-based data augmentation algorithm and using a stacking ensemble model for classification. The proposed model achieved better results compared to previous studies.

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY (2022)

Article Health Care Sciences & Services

Machine Learning-Based Hearing Aid Fitting Personalization Using Clinical Fitting Data

S. I. M. M. Raton Mondol, Hyun Ji Kim, Kyu Sung Kim, Sangmin Lee

Summary: The novel application of a neural network technique in fitting hearing aids has been investigated in this study to minimize the discrepancy between initial fitting and optimal preference. The algorithm designed to learn individual users' hearing preferences demonstrates high efficiency, even with or without additional features. Furthermore, the results show that the algorithm outperforms the fitting software of Company A, indicating its potential for improving fitting satisfaction and benefiting the hearing-impaired community.

JOURNAL OF HEALTHCARE ENGINEERING (2022)

Article Chemistry, Analytical

Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model

Yeon-Wook Kim, Kyung-Lim Joa, Han-Young Jeong, Sangmin Lee

Summary: This study utilized wearable technology and deep learning algorithms to improve the evaluation performance of the Berg Balance Scale, finding the optimal model combination through testing different structures.

SENSORS (2021)

Proceedings Paper Acoustics

TWO-STAGE TEXTUAL KNOWLEDGE DISTILLATION FOR END-TO-END SPOKEN LANGUAGE UNDERSTANDING

Seongbin Kim, Gyuwan Kim, Seongjin Shin, Sangmin Lee

Summary: End-to-end approaches are proposed to improve spoken language understanding systems by utilizing textual knowledge distillation methods. The study enhances performance, especially in low-resource scenarios, through data augmentation techniques, achieving state-of-the-art accuracy on Fluent Speech Commands dataset. Empirical studies confirm the importance of all used methods in achieving optimal performance for spoken language understanding.

2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) (2021)

Article Computer Science, Information Systems

Efficient Implementation of GMDA-based DOA Technique Using Pre-training Phase Unwrapping for Source Localization

Sang-Ick Kang, Seongbin Kim, Sangmin Lee

JOURNAL OF INTERNET TECHNOLOGY (2020)

Article Computer Science, Software Engineering

Machine Learning Optimization of Parameters for Noise Estimation

Yuyong Jeon, Ilkyeun Ra, Youngjin Park, Sangmin Lee

JOURNAL OF UNIVERSAL COMPUTER SCIENCE (2018)

Article Chemistry, Analytical

MEMS sensor based on MOF-derived WO3-C/In2O3 heterostructures for hydrogen detection

Mengmeng Guo, Na Luo, Yueling Bai, Zhenggang Xue, Qingmin Hu, Jiaqiang Xu

Summary: A porous heterostructure WO3-C/In2O3 was designed and prepared for a miniature H2 sensor, which showed higher response value, lower operating temperature, fast response-recovery speed, and low limit of detection.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Signal amplification strategy by chitosan-catechol hydrogel modified paper electrode for electrochemical detection of trace arsenite

Feng Hu, Hui Hu, Yuting Li, Xiaohui Wang, Xiaowen Shi

Summary: Arsenic contamination in water bodies is a significant health risk. This study developed a chitosan-catechol modified electrode for rapid and accurate detection of trace amounts of arsenic. The modified electrode demonstrated good detection capability and resistance to ionic interference, making it suitable for in situ detection.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

A buffering fluorogenic probe for real-time lysosomal pH monitoring

Yantao Zhang, Qian Liu, Tao Tian, Chunhua Xu, Pengli Yang, Lianju Ma, Yi Hou, Hui Zhou, Yongjun Gan

Summary: In this study, a lysosome-targeting buffering fluorogenic probe (Lyso-BFP) was designed and synthesized, demonstrating excellent photostability, pH specificity, and responsiveness to lysosomal acidification in living cells. The performance of Lyso-BFP in pH sensing was attributed to the inhibition of the photo-induced electron transfer process. Lyso-BFP allowed for wash-free imaging and long-term real-time monitoring of lysosome pH changes based on its off-on fluorescence behavior and buffer strategy.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Rational design of α-glucosidase activated near-infrared fluorescent probe and its applications in diagnosis and treatment of diabetes

Wei Cai, Wenbo Sun, Jiayue Wang, Xiaokui Huo, Xudong Cao, Xiangge Tian, Xiaochi Ma, Lei Feng

Summary: In this study, a near-infrared fluorescent probe HCBG was developed for imaging of alpha-GLC. HCBG exhibited excellent selectivity and sensitivity towards alpha-GLC in complex bio-samples, and showed good cell permeability for in situ real-time imaging. Through the high-throughput screening system established by HCBG, a natural alpha-GLC inhibitor was successfully isolated and identified. This study provides a novel fluorescence visualization tool for discovering and exploring the biological functions of diabetes-related gut microbiota, and a high-throughput screening approach for alpha-GLC inhibitor.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Electrochemical immunosensor for the quantification of galectin-3 in saliva

Trey W. Pittman, Xi Zhang, Chamindie Punyadeera, Charles S. Henry

Summary: Heart failure is a growing epidemic and a significant clinical and public health problem. Researchers have developed a portable and affordable diagnostic device for heart failure that can be used at the point-of-care, providing a valid alternative to current diagnostics approaches.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Optical hydrogen peroxide sensor for measurements in flow

Anders O. Tjell, Barbara Jud, Roland Schaller-Ammann, Torsten Mayr

Summary: An optical hydrogen peroxide sensor based on catalytic degradation and the detection of produced oxygen is presented. The sensor offers higher resolution and better sensitivity at lower H2O2 concentrations. By removing O2 from the sample solution, a more sensitive O2 sensor can be used for measurement. The sensor has been successfully applied in a flow-through cell to measure H2O2 concentration in different flow rates.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Engineered vertically-aligned carbon nanotube microarray for self-concentrated SERS detection

Seong Jae Kim, Ji-hun Jeong, Gaabhin Ryu, Yoon Sick Eom, Sanha Kim

Summary: Surface-enhanced Raman spectroscopy (SERS) is a high-sensitivity, label-free detection method with various analytical applications. Researchers have developed a hydrophobic SERS substrate based on engineered carbon nanotube arrays (CNT-SERS) and studied the role of structural design at both micro and nanoscales. The substrate demonstrated controlled self-enrichment capability and enhanced sensitivity, with a significant increase in the SERS signal. The study also proposed a theoretical model and a concentration strategy inspired by plants for analyte deposition on microarrays.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Flexible enzyme-like platform based on a 1-D CeVO4/2-D rGO-MCC heterostructure as sensor for the detection of intracellular superoxide anions

Dan Zhao, Renjun Jiang, Xiaoqiang Liu, Subbiah Alwarappan

Summary: In this study, a novel ternary composite material was constructed by assembling cerium vanadate nanorods on reduced graphene oxide-microcrystalline cellulose nanosheets, and it was used for real-time monitoring of the concentration of superoxide anions in vivo. The ternary composite showed excellent conductivity, large surface area, and abundant active sites, leading to a wider linear range, high sensitivity, low detection limit, and fast response time for superoxide anion detection.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Covalent organic framework enhanced aggregation-induced emission of berberine and the application for detection

Tengfei Wang, Liwen Wang, Guang Wu, Dating Tian

Summary: In this study, a covalent organic framework material TaTp-COF with porous and uniform spheres was successfully prepared via hydrothermal reaction, and it was found to significantly enhance the aggregation-induced emission (AIE) of berberine. The unique emission properties of berberine on TaTp-COF were studied and utilized for the sensitive detection of berberine.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Visualized time-temperature monitoring by triplet-sensitized ratiometric fluorescent nanosensors

Lin Li, Yilei Ding, Lei Xu, Shuoran Chen, Guoliang Dai, Pengju Han, Lixin Lu, Changqing Ye, Yanlin Song

Summary: In this study, a novel TTI based on a ratiometric fluorescent nanosensor is designed, which has the advantages of high accuracy and low cost. Experimental and theoretical investigations confirm its pH responsiveness and demonstrate its good sensitivity and reliability. By monitoring the total volatile basic nitrogen, this TTI can accurately predict food spoilage and can be adaptively modified for different types of food. The TTI based on this nanosensor enables visual monitoring of food quality.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

A fluorescent prodrug to fight drug-resistant lung cancer cells via autophagy-driven ferroptosis

Fangju Chen, Xueting Wang, Wei Chen, Chenwen Shao, Yong Qian

Summary: Lung cancer is the second most common malignant tumor worldwide. Drug resistance in lung cancer leads to treatment failure and recurrence in majority of patients. This study developed a fluorescent prodrug that can be activated in cancer cells to release drugs, and its signal can be tracked by imaging. It shows a unique autophagy-driven ferroptosis effect, indicating its potential for targeting drug-resistant cancer cells.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

ZnO quantum dots sensitized ZnSnO3 for highly formaldehyde sensing at a low temperature

Weichao Li, Qiming Yuan, Zhangcheng Xia, Xiaoxue Ma, Lifang He, Ling Jin, Xiangfeng Chu, Kui Zhang

Summary: This study developed a high-performance gas sensor for formaldehyde detection by modifying ZnSnO3 with ZnO QDs and SnO2 QDs. The modified sensor showed improved sensing response and lower working temperature. The presence of ZnO QDs formed rich heterojunctions, increased surface area, and provided oxygen deficiency for formaldehyde sensing reaction, thus enhancing the sensor performance. This research provides an alternative method to enhance the sensing properties of MOS by QDs modification.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Development of highly sensitive plasmonic biosensors encoded with gold nanoparticles on M13 bacteriophage networks

Joung-Il Moon, Eun Jung Choi, Younju Joung, Jin-Woo Oh, Sang-Woo Joo, Jaebum Choo

Summary: A novel nanoplasmonic substrate was developed for biomedical applications, which showed strong hot spots for detecting biomarkers at low concentrations. The substrate, called AuNPs@M13, was made by immobilizing 60 nm gold nanoparticles onto the surface of an M13 bacteriophage scaffold. It demonstrated higher sensitivity and lower limit of detection compared to commercially available assays.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Single-atom Cu-attached MOFs as peroxide-like enzymes to construct dual-mode immunosensors for detection of breast cancer typing in serum

Ning Li, Ya Zhang, Ying Xu, Xiaofang Liu, Jian Chen, Mei Yang, Changjun Hou, Danqun Huo

Summary: The molecular subtype of breast cancer guides treatment and drug selection. Invasive tests can promote cancer cell metastasis, so the development of high-performance, low-cost diagnostic tools for cancer prognosis is crucial. Liquid biopsy techniques enable noninvasive, real-time, dynamic, multicomponent, quantitative, and long-term observations at the cellular, genetic, and molecular levels. A Cu-Zr metal-organic framework (MOF) nanoenzyme with monatomic Cu attachment has been synthesized and proven to have high catalytic performance. The sensor constructed using this nanoenzyme shows potential for accurate classification of breast cancer serum samples.

SENSORS AND ACTUATORS B-CHEMICAL (2024)

Article Chemistry, Analytical

Individually-addressable composite microneedle electrode array by mold-and-place method for glucose detection

Jeongmin Kim, Hyemin Kim, Seunghyun Park, Hyeonaug Hong, Yong Jae Kim, Jiyong Lee, Jaeho Kim, Seung-Woo Cho, Wonhyoung Ryu

Summary: This study presents a method to fabricate independently functioning microneedle (MN) electrodes with narrow intervals for high precision electrochemical sensing. The optimized mixture of photocurable polymer and single-wall carbon nanotubes was used to mold single composite MNs, which were then attached to pre-patterned electrodes. Plasma etching and electropolymerization were performed to enhance the electrochemical activity, and Prussian blue and glucose oxidase were electrodeposited on the MNs for glucose detection. The MN electrodes showed good sensitivity and linearity, and the feasibility of glucose detection was demonstrated in an in vivo mouse study.

SENSORS AND ACTUATORS B-CHEMICAL (2024)