Frontiers in sensors最新文献_第8页

Fluorescent Chemosensors for Ion and Molecule Recognition: The Next Chapter 用于离子和分子识别的荧光化学传感器：下一章

Frontiers in sensors Pub Date : 2021-09-16 DOI: 10.3389/fsens.2021.731928

Kai-Cheng Yan, Axel Steinbrueck, A. Sedgwick, T. James

引用次数: 7

Nanoparticle-Based FM-MCF LSPR Biosensor With Open Air-Hole 基于纳米颗粒的开放气孔FM-MCF LSPR生物传感器

Frontiers in sensors Pub Date : 2021-09-13 DOI: 10.3389/fsens.2021.751952

Chuanhao Yang, Shiyan Xiao, Qi Wang, Hongxia Zhang, Hui Yu, Dagong Jia

引用次数: 0

Antilope, A Portable Low-Cost Sensor System for the Assessment of Indoor and Outdoor Air Pollution Exposure 用于室内和室外空气污染暴露评估的便携式低成本传感器系统Antilope

Frontiers in sensors Pub Date : 2021-09-08 DOI: 10.3389/fsens.2021.679908

F. Lenartz, Marie Dury, B. Bergmans, V. Hutsemekers, V. Broun, Christophe Brose, S. Guichaux

引用次数: 0

Nutrient Analysis in Arctic Waters Using a Portable Sensing Platform 使用便携式传感平台对北极水域的营养物质进行分析

Frontiers in sensors Pub Date : 2021-09-02 DOI: 10.3389/fsens.2021.711592

Margaret McCaul, P. Magni, S. Jordan, E. McNamara, A. Satta, D. Diamond, A. Ribotti

{"title":"Nutrient Analysis in Arctic Waters Using a Portable Sensing Platform","authors":"Margaret McCaul, P. Magni, S. Jordan, E. McNamara, A. Satta, D. Diamond, A. Ribotti","doi":"10.3389/fsens.2021.711592","DOIUrl":"https://doi.org/10.3389/fsens.2021.711592","url":null,"abstract":"A portable sensing platform for the detection of nutrients (PO4 3−, NO2 −, NO3 −) in natural waters has been realized through the use of rapid prototyping techniques, colorimetric chemistries, electronics, and LED-based optical detection. The sensing platform is modular in design incorporating interchangeable optical detection units, with a component cost per unit of ca. €300, and small form factor (20 cm × 6 cm x 3.5 cm). Laboratory testing and validation of the platform was performed prior to deployment at the CNR Dirigibile Italia Arctic Research Station, Ny-Aselund (79°N, 12°E). Results obtained showed excellent linear response, with a limit of detection of 0.05 μM (NO2 −, NO3 −), and 0.03 μM (PO4 3−). On the June 22, 2016 a field campaign took place within Kongsfjorden, Ny-Aselund (78.5–79°N, 11.6–12.6°E), during which 55 water samples were acquired using 10 L Niskin bottles on board the MS Teisten research vessel. 23 hydrological casts were also performed using a Seabird 19plus V2 SeaCAT Profiler CTD probe with turbidity and dissolved oxygen sensors. Water samples were subsequently analyzed for PO4 3−, NO2 −, NO3 − at the CNR Dirigibile Italia Arctic Research Station Laboratory using the adaptive sensing platform. Nutrient concentrations were compared to hydrological data to assess the processes that influence the nutrient concentrations within the Fjord. This research highlights the potential use of the adaptive sensing platform in remote locations as a stand-alone platform and/or for the validation of deployable environmental sensor networks.","PeriodicalId":93754,"journal":{"name":"Frontiers in sensors","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49033025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Reduced Graphene Oxide Carbon Yarn Electrodes for Drug Sensing 用于药物传感的还原氧化石墨烯碳丝电极

Frontiers in sensors Pub Date : 2021-08-10 DOI: 10.3389/fsens.2021.719161

S. Sriprasertsuk, Shuai Zhang, G. Wallace, Jun Chen, J. Varcoe, C. Crean

{"title":"Reduced Graphene Oxide Carbon Yarn Electrodes for Drug Sensing","authors":"S. Sriprasertsuk, Shuai Zhang, G. Wallace, Jun Chen, J. Varcoe, C. Crean","doi":"10.3389/fsens.2021.719161","DOIUrl":"https://doi.org/10.3389/fsens.2021.719161","url":null,"abstract":"A modified carbon fibre yarn sensor was developed for the voltammetric determination of paracetamol and its interferents (dopamine and ascorbic acid). Reduced graphene oxide (rGO) was electrochemically deposited onto a carbon fibre yarn. Further modification was achieved using polypyrrole (PPy) coated onto the rGO carbon fibre yarn via electropolymerisation of pyrrole with cyclic voltammetry (CV). The surface of the rGO and PPy-rGO carbon fibre electrodes were characterised using Raman spectroscopy and scanning electron microscopy. The rGO and PPy-rGO carbon fibres had a 3.5-fold and 7-fold larger electrochemical surface area compared to bare carbon fibre (calculated using the Randles-Sevcik equation). Two clearly distinguished oxidation peaks at 0.49 and 0.25 V (vs. Ag/AgCl) were observed at the rGO fibre electrode during the simultaneous detection of paracetamol and dopamine, respectively, by CV. The detection limit (3σ S/N) of the rGO carbon fibre electrode for differential pulse voltammetry (DPV) determination of paracetamol was at 21.1 and 6.0 µM for dopamine. In comparison, the simultaneous determination of paracetamol and dopamine by CV at the PPy-rGO fibre electrode gave oxidation peaks of paracetamol and dopamine at 0.55 and 0.25 V (vs. Ag/AgCl), respectively. The detection limit (3σ S/N) for paracetamol was notably improved to 3.7 µM and maintained at 6.0 µM for dopamine at the PPy-rGO carbon fibre electrode during DPV.","PeriodicalId":93754,"journal":{"name":"Frontiers in sensors","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43157907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Using Deep Learning Neural Network in Artificial Intelligence Technology to Classify Beef Cuts 利用人工智能技术中的深度学习神经网络对牛肉切块进行分类

Frontiers in sensors Pub Date : 2021-06-15 DOI: 10.3389/fsens.2021.654357

Sunil Gc, Borhan Saidul Md, Yu Zhang, D. Reed, M. Ahsan, E. Berg, Xin Sun

{"title":"Using Deep Learning Neural Network in Artificial Intelligence Technology to Classify Beef Cuts","authors":"Sunil Gc, Borhan Saidul Md, Yu Zhang, D. Reed, M. Ahsan, E. Berg, Xin Sun","doi":"10.3389/fsens.2021.654357","DOIUrl":"https://doi.org/10.3389/fsens.2021.654357","url":null,"abstract":"The objective of this research was to evaluate the deep learning neural network in artificial intelligence (AI) technologies to rapidly classify seven different beef cuts (bone in rib eye steak, boneless rib eye steak, chuck steak, flank steak, New York strip, short rib, and tenderloin). Color images of beef samples were acquired from a laboratory-based computer vision system and collected from the Internet (Google Images) platforms. A total of 1,113 beef cut images were used as training, validation, and testing data subsets for this project. The model developed from the deep learning neural network algorithm was able to classify certain beef cuts (flank steak and tenderloin) up to 100% accuracy. Two pretrained convolution neutral network (CNN) models Visual Geometry Group (VGG16) and Inception ResNet V2 were used to train, validate, and test these models in classifying beef cut images. An image augmentation technique was incorporated in the convolution neutral network models for avoiding the overfitting problems, which demonstrated an improvement in the performance of the image classifier model. The VGG16 model outperformed the Inception ResNet V2 model. The VGG16 model coupled with data augmentation technique was able to achieve the highest accuracy of 98.6% on 116 test images, whereas Inception ResNet V2 accomplished a maximum accuracy of 95.7% on the same test images. Based on the performance metrics of both models, deep learning technology evidently showed a promising effort for beef cuts recognition in the meat science industry.","PeriodicalId":93754,"journal":{"name":"Frontiers in sensors","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44181084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Improved Stability and Performance of Surface Acoustic Wave Nanosensors Using a Digital Temperature Compensation 采用数字温度补偿提高声表面波纳米传感器的稳定性和性能

Frontiers in sensors Pub Date : 2021-06-14 DOI: 10.3389/fsens.2021.617484

S. Balashov, J. Rocha, M. R. F. Hurtado, J. A. L. Prestes, A. F. M. de Campos, S. Moshkalev

{"title":"Improved Stability and Performance of Surface Acoustic Wave Nanosensors Using a Digital Temperature Compensation","authors":"S. Balashov, J. Rocha, M. R. F. Hurtado, J. A. L. Prestes, A. F. M. de Campos, S. Moshkalev","doi":"10.3389/fsens.2021.617484","DOIUrl":"https://doi.org/10.3389/fsens.2021.617484","url":null,"abstract":"Surface Acoustic Waves (SAW) sensors are known to be an excellent choice for the measurement of a small concentration of analytes in gas mixtures. The use of this type of sensor has been limited until now in the industrial environment due to the sensitivity of its response to temperature variations. To overcome this problem, thermal stabilization of equipment is normally used. We propose here a simple procedure of compensation of thermal drift in SAW sensors, allowing the measurements to be performed in temperature intervals of up to 20 degrees without any thermal stabilization of the sensitive element of a sensor. By monitoring the temperature of the key points of the sensor and applying the proposed polynomial compensation, it is possible to reduce the influence of thermal instabilities of the ambient temperature to the response more than four times. The method is illustrated by a temperature compensated SAW humidity sensor with a graphene oxide nanofilm as water molecules’ sensitive element. The results show enhanced performance of the sensor over a large temperature interval.","PeriodicalId":93754,"journal":{"name":"Frontiers in sensors","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46987913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Specialty Grand Challenge: Sensor Networks 专业大挑战：传感器网络

Frontiers in sensors Pub Date : 2021-06-01 DOI: 10.3389/fsens.2021.700967

Guangjie Han

{"title":"Specialty Grand Challenge: Sensor Networks","authors":"Guangjie Han","doi":"10.3389/fsens.2021.700967","DOIUrl":"https://doi.org/10.3389/fsens.2021.700967","url":null,"abstract":"Nowadays, Sensors have been deployed all over the daily living environment, integrated into smart phones, smart watches, and other wireless terminal devices, and become the necessities in modern daily life. With the progress of IoT (Internet of Things) and AI (artificial intelligence), more wireless sensing devices will be used to extend human senses for providing accurate and comprehensive sensory data of life activities via networking. The International Data Corporation (IDC) reports that both the number of online devices and total generated data will reach unprecedented magnitudes in 2025. Their exponential increase heralds the advent of a new era named “Internet of Everything (IoE)”. Obviously, mass data is an opportunity to develop data-driven technologies, but also a challenge for computational loading capacity. Given the transmission cost, information security, and system scalability, Sensor Network based schemes may be the current optimal solution (Akyildiz et al., 2002). The field of Sensor Networks has gone through three major reforms ranging from version 1.0 (isolated static systems) to 3.0 (invisible adaptive, self-managing systems), each of which has witnessed the revolution of IoT technology. In stage 1.0, i.e., Sensor Networks 1.0, the topics under continuous discussion are about sensor localization, intelligent management, interconnection, etc., on which most of current research products still concentrate. In other words, how to connect our physical world to the Internet through sensor networks is an everlasting hotspot. In moving forward, the fusion of sensors and networks must confront the following challenges:","PeriodicalId":93754,"journal":{"name":"Frontiers in sensors","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45442754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nitrogen Dioxide Selective Sensor for Humid Environments Based on Octahedral Indium Oxide 基于八面体氧化铟的潮湿环境二氧化氮选择性传感器

Frontiers in sensors Pub Date : 2021-04-26 DOI: 10.3389/fsens.2021.672516

G. Domènech-Gil, I. Gràcia, C. Cané, A. Romano-Rodríguez

引用次数: 2

Review: Influences of Semiconductor Metal Oxide Properties on Gas Sensing Characteristics 综述:半导体金属氧化物性质对气敏特性的影响

Frontiers in sensors Pub Date : 2021-04-20 DOI: 10.3389/fsens.2021.657931

B. Saruhan, Roussin Lontio Fomekong, S. Nahirniak

引用次数: 86