Article
Chemistry, Physical
Jiarui Huang, Chunyu Meng, Hui Wang, Haibo Ren, Xiaojing Lu, Sang Woo Joo
Summary: In this study, cross-linked porous tin dioxide nanosheets were successfully synthesized using three-dimensional reduced graphene oxide as a template. The resulting nanosheets exhibited high sensitivity to toxic organic vapors, making them promising candidates for practical detectors of volatile organic compounds.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Engineering, Electrical & Electronic
Akhilesh Kumar Pathak, Charusluk Viphavakit
Summary: This study discusses a sensor for detecting isopropanol in exhaled breath, which is a biomarker for diabetes. The design of the sensor is based on wavelength modulation technique, utilizing a porous TiO2 layer as sensing material for high sensitivity detection.
IEEE SENSORS JOURNAL
(2021)
Review
Biochemical Research Methods
Kenta Iitani, Sai Sathish Ramamurthy, Xudong Ge, Govind Rao
Summary: Improving life expectancy requires active self-monitoring and biochemical analysis for prevention and early diagnosis of diseases, emphasizing the need for non-invasive measurement of molecular biomarkers reflecting metabolism and health. Transdermal sampling via the skin is a suitable method for in-situ biochemical monitoring, offering potential for greater understanding of important biochemical markers.
CURRENT OPINION IN BIOTECHNOLOGY
(2021)
Article
Biophysics
Ziyu Gan, Qin'an Zhou, Chengyu Zheng, Jun Wang
Summary: Biotic and abiotic stresses increase the emission of volatile organic compounds (VOCs) from plants. VOCs analysis enables timely diagnosis of plant diseases for sustainable agriculture. Recent advancements in nanomaterials research have contributed to the development of novel VOCs sensors with high sensitivity and selectivity. This review discusses VOCs monitoring technologies for plant diseases diagnosis, emphasizing on custom-made VOCs sensors and addressing challenges for future improvements.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Chemistry, Multidisciplinary
Kangwoo Jin, Dohyun Moon, Ying-Pin Chen, Jinhee Park
Summary: In this study, a vapochromic sensor array based on metal-organic frameworks (MOFs) is developed to detect volatile organic compounds (VOCs) and humidity. The sensor changes color from red to green in response to VOCs, which is influenced by solvent pretreatment. The system enables qualitative and quantitative sensing of VOCs, generating unique color patterns corresponding to specific VOC types.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Masato Tsujiguchi, Yasushi Kii, Takashi Aitoku, Masaru Iwao, Yasuko Yamada Maruo
Summary: The decrease in transmittance in porous-glass gas sensors, which use aldol condensation of vanillin and nonanal as the detection mechanism for nonanal, was investigated in this study. The use of alkali-resistant porous glass with nanoscale porosity and light transparency, along with ammonia as the catalyst, effectively solves the issue of reduced transmittance caused by a strong base catalyst. Additionally, the alkali-resistant glass exhibits solid acidity and supports a higher concentration of ammonia on its surface, resulting in a longer duration and increased sensitivity in detecting nonanal gas.
Article
Chemistry, Analytical
Rosamaria Capuano, Antonella Mansi, Emilia Paba, Anna Maria Marcelloni, Alessandra Chiominto, Anna Rita Proietto, Andrea Gordiani, Alexandro Catini, Roberto Paolesse, Giovanna Tranfo, Corrado Di Natale
Summary: This paper characterizes the volatile organic compounds (VOCs) pattern emitted in vitro by Legionella pneumophila cultures and compares it with those produced by other Legionella species and by Pseudomonas aeruginosa. The results show that the VOCs can differentiate Legionella pneumophila from other waterborne microorganisms.
Article
Medicine, General & Internal
Aikaterini Liangou, Antonios Tasoglou, Heinz J. Huber, Christopher Wistrom, Kevin Brody, Prahlad G. Menon, Thomas Bebekoski, Kevin Menschel, Marlise Davidson-Fiedler, Karl DeMarco, Harshad Salphale, Jonathan Wistrom, Skyler Wistrom, Richard J. Lee
Summary: The method of identifying COVID-19 infection through breath analysis is a promising tool that can provide fast and accurate results.
Review
Chemistry, Applied
Kewei Liu, Chao Zhang
Summary: This review article provides an overview of gas sensors based on quartz crystal microbalance for fruit freshness detection, focusing mainly on research on respiration climacteric fruits and discussing the sensitive materials based on physical/chemical adsorption mechanisms. The characteristics of fruits' respiratory intensity at the stage of ripening are considered for dividing fruits into respiration climacteric and non-climacteric categories.
Article
Chemistry, Analytical
Yu Cai, Liping Huang, Weijian Sun, Changshun Xu, Xueqian Ren, Ying Ye, Yajie Zhu, Liangbin Sun, Danfeng Jiang, Qingwen Zhang, Yi Wang
Summary: A paper-based colorimetric sensor array combined with a smartphone was developed for detecting various VOCs and analyzing exhaled-breath for VOCs related to gastric cancer. The sensor array utilizes functionalized nanoplasmonic materials and chemically responsive organic dyes that change color upon chemical contact with VOCs. The array achieves detection at parts per billion (ppb) level based on color changes. Gas chromatography-mass spectroscopy analysis shows the presence of 25 different VOCs that can serve as biomarkers. By employing orthogonal partial least squares discriminant analysis (OPLS-DA), the paper-based smartphone nano-optoelectronic nose is capable of distinguishing between VOCs associated with gastric cancer patients and healthy candidates with 90% accuracy. This cost-effective sensor platform enables noninvasive screening of gastric cancer and other gas detection in medical diagnosis and environmental monitoring.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Engineering, Environmental
Mahan Ghazi, Sajjad Janfaza, Hamed Tahmooressi, Nishat Tasnim, Mina Hoorfar
Summary: This study focuses on improving the selectivity of microfluidic gas sensors for detecting a range of VOCs by adding micro- and nanofeatures to the microchannel. The results show an average improvement of 64.4% and 120.9% in sensor selectivity with microfeatures and both nano- and microfeatures, respectively. Characterization of the nano- and microfeatures was done through SEM, XPS, and water contact angle measurement.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Spectroscopy
Yuai Duan, Yang Liu, Hongliang Han, Xunxue Zhang, Mengyao Zhang, Yi Liao, Tianyu Han
Summary: The study synthesized a D-pi-A fluorophore DEBAB with AIE and ICT properties, which was applied in fabricating a portable gas-phase sensor capable of detecting methanol and ethanol with a detection limit as low as 8.02 ppm. The results suggest that hydrogen-bonding may be formed between DEBAB and alcohols, intensifying the AIE efficacy while influencing the ICT process.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Physical
Zhuo Mao, Jiesen Li, Shengjie Dong, Xiang Lin, Xiaodong Jian, Ping Wu
Summary: The sensing properties of novel monolayered fibrous red phosphorene nanosheet towards toxic volatile organic compounds were investigated using first-principles strategy. It was found that applying external strain is an effective strategy to modulate the sensing performance of fibrous red phosphorene towards benzo[?]pyrene.
APPLIED SURFACE SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Joshua Prestage, Coco Day, Shamus L. G. Husheer, William T. Winter, Wah O. Ho, John R. Saffell, Tanya Hutter
Summary: The study developed a novel thermal separator system combined with a photoionization detector, which can selectively detect specific VOC compounds in a mixture. By adsorbing VOCs in nanoporous silica at 5 degrees C and then detecting them during the heating process up to 70 degrees C, the separation and detection of isopropanol and 1-octene in a mixture was successfully achieved.
Article
Engineering, Electrical & Electronic
Mariana Maciel, Safiya Sankari, Mark Woollam, Mangilal Agarwal
Summary: The study aimed to develop an automated feature extraction algorithm to optimize SnO2 nanosensor parameters and breath sampling methods. By optimizing sensor operating parameters, the research identified the optimal parameters and demonstrated that the sensor could distinguish VOC profiles in simulated breath independent of varying humidity levels. Sensor testing with real breath samples showed no increase in reproducibility when fractionating breath and that sampling 24 L provided the highest sensitivity. The SnO2 sensors were utilized to analyze breath samples from three volunteers, and the results showed high intrasubject reproducibility as well as separation between subjects.
IEEE SENSORS JOURNAL
(2023)
