4.7 Article

Polyacrylic acid polymer and aldehydes template molecule based MIPs coated QCM sensors for detection of pattern aldehydes in body odor

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 206, Issue -, Pages 471-487

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2014.09.102

Keywords

MIP; QCM sensor; Aldehydes; Body odor characterization; Chemical vapor pattern recognition

Funding

  1. JSPS KAKENHI [25420409]
  2. [24.02367]
  3. Grants-in-Aid for Scientific Research [25420409] Funding Source: KAKEN

Ask authors/readers for more resources

Molecularly imprinted polymers (MIPs) have been prepared using the polyacrylic acid (PAA) as host polymer and hexanal, heptanal, and nonanal as pattern molecules. MIPs were employed as selective coating layer of quartz crystal microbalance (QCM) sensors. Hexanal, heptanal, and nonanal were opted as target chemicals after gas chromatography-mass spectrometer (GC-MS) characterization of body odor samples. Transient and static responses of four QCM sensors (three coated with MIPs and one with non-MIP) to target aldehydes in singly, binary and tertiary mixtures, and water at distinct concentrations have been measured. Transient responses were analyzed to compute the response time (t(on)), and recovery time (t(off)) of sensors. This result average values of t(on) approximate to 5 s and t(off) approximate to 10 s to typical concentrations of target odors. The sensitivity and baseline drift of sensors were also calculated using their static response. The heptanal template molecule based MIP coated QCM exhibit improved sensitivity, reproducibility and faster response, than the rest two MIPs, and non-MIP coated QCMs. Static sensors response matrices were further processed with principal component analysis (PCA) for qualitative (visual) discrimination and support vector machine (SVM) classifier for quantitative recognition (in %) of target aldehydes: in singly, binary and tertiary mixtures. Aldehydes odor was effectively identified in principal component (PC) space. Maximum recognition rate of 89% has been achieved for three classes of binary odors, and 79% for the combination of single, binary and tertiary odor classes in 3-fold cross-validation of SVM classifier. (C) 2014 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 Engineering, Electrical & Electronic

Identifying Computer Generated Images Based on Quaternion Central Moments in Color Quaternion Wavelet Domain

Jinwei Wang, Ting Li, Xiangyang Luo, Yun-Qing Shi, Sunil Kr. Jha

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2019)

Article Computer Science, Artificial Intelligence

Non-aligned double JPEG compression detection based on refined Markov features in QDCT domain

Jinwei Wang, Wei Huang, Xiangyang Luo, Yun-Qing Shi, Sunil Kr Jha

JOURNAL OF REAL-TIME IMAGE PROCESSING (2020)

Article Computer Science, Information Systems

Image splicing detection based on convolutional neural network with weight combination strategy

Jinwei Wang, Qiye Ni, Guangjie Liu, Xiangyang Luo, Sunil Kr Jha

JOURNAL OF INFORMATION SECURITY AND APPLICATIONS (2020)

Article Engineering, Multidisciplinary

A hybrid machine learning approach in modeling the impact of chromium concentration in blood and gonads on the concentration of the reproductive hormones of Urva auropunctatus

Shaista Andleeb, Shenxu Bao, Zulfiqar Ahmad, Sunil Kumar Jha

Summary: The toxic impact of chromium on hormonal concentrations of Urva auropuctatus was analyzed in a tannery industrial area, showing significantly higher chromium concentration in exposed animals and reduced concentrations of reproductive hormones. The use of an ANFIS model resulted in satisfactory accuracy in estimating hormone concentrations based on chromium levels in body tissues.

MEASUREMENT (2021)

Article Construction & Building Technology

Exploring multi-level motivations towards green design practices: A system dynamics approach

Qing Li, Lianying Zhang, Limao Zhang, Sunil Jha

Summary: Green building construction is crucial for addressing environmental challenges and achieving sustainability, where designers' practices play a key role in improving green performance. However, the complex influences of multi-level motivations in green design have not been thoroughly explored. The study highlights the dynamic interactions of motivations and emphasizes the significant role of government policies in encouraging green practices.

SUSTAINABLE CITIES AND SOCIETY (2021)

Article Computer Science, Artificial Intelligence

A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India

Lokesh Kumar Shrivastav, Sunil Kumar Jha

Summary: Meteorological parameters have been found to play a role in the transmission of COVID-19, with the GBM model achieving accurate predictions for infection and recovery cases in different states of India.

APPLIED INTELLIGENCE (2021)

Article Computer Science, Information Systems

A Multi-Conditional Proxy Broadcast Re-Encryption Scheme for Sensor Networks

Pang Li, Lifeng Zhu, Brij B. Gupta, Sunil Kumar Jha

CMC-COMPUTERS MATERIALS & CONTINUA (2020)

Article Environmental Sciences

Evaluating toxicity impacts of environmental exposed chromium on small Indian mongoose (Urva auropunctatus) hematological, biochemical and histopathological functioning

Shaista Andleeb, Zulfiqar Ahmad, Tariq Mahmood, Shenxu Bao, Abdullah Arif Saeed, Sunil Kumar Jha

CHEMOSPHERE (2020)

Article Computer Science, Information Systems

A Robust Watermarking Scheme Based on ROI and IWT for Remote Consultation of COVID-19

Xiaorui Zhang, Wenfang Zhang, Wei Sun, Tong Xu, Sunil Kumar Jha

CMC-COMPUTERS MATERIALS & CONTINUA (2020)

Article Engineering, Electrical & Electronic

Detecting Double JPEG Compressed Color Images With the Same Quantization Matrix in Spherical Coordinates

Jinwei Wang, Hao Wang, Jian Li, Xiangyang Luo, Yun-Qing Shi, Sunil Kumar Jha

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)

Article Computer Science, Information Systems

Median Filtering Detection Based on Quaternion Convolutional Neural Network

Jinwei Wang, Qiye Ni, Yang Zhang, Xiangyang Luo, Yunqing Shi, Jiangtao Zhai, Sunil Kr Jha

CMC-COMPUTERS MATERIALS & CONTINUA (2020)

Review Computer Science, Information Systems

An Application Review of Artificial Intelligence in Prevention and Cure of COVID-19 Pandemic

Peipeng Yu, Zhihua Xia, Jianwei Fei, Sunil Kumar Jha

CMC-COMPUTERS MATERIALS & CONTINUA (2020)

Article Energy & Fuels

Short-term wind speed prediction at Bogdanci power plant in FYROM using an artificial neural network

Sunil Kr. Jha, Jasmin Bilalovikj

INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY (2019)

Article Computer Science, Information Systems

Quaternion Convolutional Neural Network for Color Image Classification and Forensics

Qilin Yin, Jinwei Wang, Xiangyang Luo, Jiangtao Zhai, Sunil Kr. Jha, Yun-Qing Shi

IEEE ACCESS (2019)

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)