ACS Sensors最新文献

Color-Coded Traffic Signal Method Combined with Nanodiamond Quantum Sensing for Accurate miRNA Detection.

IF 8.2 1区化学

ACS Sensors Pub Date : 2024-12-23 DOI: 10.1021/acssensors.4c02511

Wei Wang, Youqiang Xing, Lei Liu, Min Wu, Peng Huang, Bingjue Li, Ze Wu

引用次数: 0

Breath Analyzer for Real-Time Exercise Fat Burning Prediction: Oral and Alveolar Breath Insights with CNN

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-23 DOI: 10.1021/acssensors.4c02502

Byeongju Lee, Junyeong Lee, Hyung-Kun Lee, HyungJu Park, Myung-Joon Kwack, Do Yeob Kim, Inkyu Park, Soo Lim, Dae-Sik Lee

{"title":"Breath Analyzer for Real-Time Exercise Fat Burning Prediction: Oral and Alveolar Breath Insights with CNN","authors":"Byeongju Lee, Junyeong Lee, Hyung-Kun Lee, HyungJu Park, Myung-Joon Kwack, Do Yeob Kim, Inkyu Park, Soo Lim, Dae-Sik Lee","doi":"10.1021/acssensors.4c02502","DOIUrl":"https://doi.org/10.1021/acssensors.4c02502","url":null,"abstract":"The increasing prevalence of obesity and metabolic disorders has created a significant demand for personalized devices that can effectively monitor fat metabolism. In this study, we developed an advanced breath analyzer system designed to provide real-time monitoring of exercise-induced fat burning by analyzing volatile organic compounds (VOCs) present in both oral and alveolar breath. Acetone in exhaled breath and β-hydroxybutyric acid (BOHB) in the blood are both biomarkers closely linked to the metabolic fat burning process occurring in the liver, particularly after exercise. The breath analyzer utilizes a sensor array to detect VOC patterns, with the data analyzed using a one-dimensional convolutional neural network (1D CNN) for an accurate prediction of BOHB levels in the blood. We collected and analyzed 30 exhaled breath samples with our analyzer and blood samples for BOHB from participants before and after exercise. The results showed a strong correlation between sensor responses and BOHB levels, with Pearson correlation coefficients of 0.99 across different postexercise time points. The 1D CNN model effectively estimated BOHB concentrations, achieving Pearson coefficients of 0.96 for the training data set and 0.86 for the test data set. Additionally, our findings confirm that alveolar air samples, which contain metabolic byproducts from deeper in the lungs, offer more reliable data for fat burning analysis than oral air samples. This noninvasive, real-time breath monitoring tool offers a promising solution for individuals demanding to optimize their exercise routines and track metabolic health with high precision and accuracy.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"16 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Wearable Device with Triboelectric Nanogenerator Sensing for Respiration and Spirometry Monitoring

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-22 DOI: 10.1021/acssensors.4c02350

Hongqiang Xu, Weiqiao Han, Mehmet Rasit Yuce

{"title":"A Wearable Device with Triboelectric Nanogenerator Sensing for Respiration and Spirometry Monitoring","authors":"Hongqiang Xu, Weiqiao Han, Mehmet Rasit Yuce","doi":"10.1021/acssensors.4c02350","DOIUrl":"https://doi.org/10.1021/acssensors.4c02350","url":null,"abstract":"Wearable devices have been developed for the continuous and long-term monitoring of respiration. Although current wearable devices are able to measure the respiration rate, extracting breathing volume has been challenging. In this paper, we propose a wearable respiration monitoring sensor based on triboelectric nanogenerator (TENG) technology. The proposed device successfully measures both respiration rate and volume in real-time. The device is tested with seven participants for respiration and spirometry studies. The results show that the proposed TENG sensor is able to capture the respiration waveform with high accuracy. All breathing patterns mentioned in this study give a mean absolute error (MAE) within 0.2 breaths per minute and a mean percentage absolute (MPAE) error within 2%. The results of the spirometry study show that the TENG sensor can measure the airflow and volume during exhalation. The flow time graph gives an average correlation of 0.88 compared with that of the reference spirometer. The reconstructed volume time plot from the TENG sensor results in an MAE of 2.43% for the ratio of the forced expiratory volume in 1 s to the forced vital capacity (FEV1/FVC). The proposed device provides a low-cost solution for real-time and wearable monitoring for respiration parameter measurement.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"54 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142873997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

To Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-20 DOI: 10.1021/acssensors.4c01732

Piyush Raj, Lintong Wu, Jeong Hee Kim, Raj Bhatt, Kristine Glunde, Ishan Barman

{"title":"To Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology","authors":"Piyush Raj, Lintong Wu, Jeong Hee Kim, Raj Bhatt, Kristine Glunde, Ishan Barman","doi":"10.1021/acssensors.4c01732","DOIUrl":"https://doi.org/10.1021/acssensors.4c01732","url":null,"abstract":"Raman spectroscopy has revolutionized the field of chemical biology by providing detailed chemical and compositional information with minimal sample preparation. Despite its advantages, the technique suffers from low throughput due to the weak Raman effect, necessitating long acquisition times and expensive equipment. This limitation is particularly acute in time-sensitive applications like bioprocess monitoring and dynamic studies. Compressive sensing offers a promising solution by reducing the burden on measurement hardware, lowering costs, and decreasing measurement times. It allows for the collection of sparse data, which can be computationally reconstructed later. This paper explores the practical application of compressive sensing in spontaneous Raman spectroscopy across various biological samples. We demonstrate its benefits in scenarios requiring portable hardware, rapid acquisition, and minimal storage, such as skin hydration prediction and cellular studies involving drug molecules. Our findings highlight the potential of compressive sensing to overcome traditional limitations of Raman spectroscopy, paving the way for broader adoption in biological research and clinical diagnostics.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"78 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Label-Free DNA Light-Up Aptaswitches for Multiplexed Biosensing

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-20 DOI: 10.1021/acssensors.4c02331

Eiman A. Osman, Kimiya Karimi, Yuhao Chen, Serhii Hirka, Roberto W. Charles, Maureen McKeague

引用次数: 0

Omnidirectional Bending Sensor with Bianisotropic Structure for Wearable Electronics

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-18 DOI: 10.1021/acssensors.4c02734

Mengqi Jiang, Chun Jin, Ziqian Bai

{"title":"Omnidirectional Bending Sensor with Bianisotropic Structure for Wearable Electronics","authors":"Mengqi Jiang, Chun Jin, Ziqian Bai","doi":"10.1021/acssensors.4c02734","DOIUrl":"https://doi.org/10.1021/acssensors.4c02734","url":null,"abstract":"Bending sensors are critical to the advancement of wearable electronics and can be applied in the dynamic monitoring of flexible object morphology. However, current bending sensors are constrained by sensing range and precision, especially in full-range detection. The maximum sensing range of existing flexible bending sensors is 0–240°. This study introduces a bianisotropic responsive structure into the design of an all-textile bending sensor, thereby realizing 0–360° full-range omnidirectional bending sensing. First, the project elucidated the sensing mechanism of the piezoresistive bianisotropic structured bending sensor and identified critical factors through a numerical simulation method. Then, the bianisotropic structured bending sensors were produced through the stitch method and analyzed on their electromechanical performance. Further, the recognition model for both bending angle and direction parameters was developed via numerical calculation, achieving a high accuracy with an error rate of 2.82%. Last, according to the ergonomics of body joints, the sensors were customized and validated in body joint monitoring scenarios. This work significantly enhances the performance of flexible bending sensors in sensing range, accuracy, and comfort for the wearer. The versatility of this bending sensor positions it as a promising candidate to supplant traditional heavy equipment or rigid devices, particularly in wearable joint motion monitoring and soft robotics.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"174 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Continuous Biosensing to Monitor Acute Systemic Inflammation, a Diagnostic Need for Therapeutic Guidance

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-18 DOI: 10.1021/acssensors.4c02569

Guilherme Gouveia, Abtin Saateh, Anna Swietlikowska, Claudia Scarpellini, Emily Tsang, Hatice Altug, Maarten Merkx, Annelies Dillen, Karen Leirs, Dragana Spasic, Jeroen Lammertyn, Kurt V. Gothelf, Estelle Bonedeau, Nicola Porzberg, Ruben L. Smeets, Hans J. P. M. Koenen, Menno W. J. Prins, Marien I. de Jonge

{"title":"Continuous Biosensing to Monitor Acute Systemic Inflammation, a Diagnostic Need for Therapeutic Guidance","authors":"Guilherme Gouveia, Abtin Saateh, Anna Swietlikowska, Claudia Scarpellini, Emily Tsang, Hatice Altug, Maarten Merkx, Annelies Dillen, Karen Leirs, Dragana Spasic, Jeroen Lammertyn, Kurt V. Gothelf, Estelle Bonedeau, Nicola Porzberg, Ruben L. Smeets, Hans J. P. M. Koenen, Menno W. J. Prins, Marien I. de Jonge","doi":"10.1021/acssensors.4c02569","DOIUrl":"https://doi.org/10.1021/acssensors.4c02569","url":null,"abstract":"Continuous monitoring of acute inflammation can become a very important next step for guiding therapeutic interventions in severely ill patients. This Perspective discusses the current medical need for patients with acute inflammatory diseases and the potential of continuous biosensing technologies. First, we discuss biomarkers that could help to monitor the state of a patient with acute systemic inflammation based on theoretical studies and empirical data. Then, based on the state of the art, we describe sensing strategies that could be applied for the continuous monitoring of acute inflammatory biomarkers, followed by challenges that must be overcome. Nanoswitch-based continuous biosensors enable suitable measurement frequencies but still lack sensitivity, while regeneration risks lower sensor reliability. Developments are still needed in bioreceptors and molecular architectures, regeneration techniques, combined with suitable sampling and sample pretreatment methods, for bringing continuous biosensing of inflammation closer to reality. Furthermore, collaborations between healthcare professionals and scientists, regulatory bodies, and biosensor engineers are needed for a successful translation of sensing technologies from the laboratory to clinical practice.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"52 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomimetic Honeycomb-like Ti3C2Tx MXene/Bacterial Cellulose Aerogel-Based Flexible Pressure Sensor for the Human–Computer Interface

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-18 DOI: 10.1021/acssensors.4c02716

Xinyu Hong, Zhijian Du, La Li, Kai Jiang, Di Chen, Guozhen Shen

{"title":"Biomimetic Honeycomb-like Ti3C2Tx MXene/Bacterial Cellulose Aerogel-Based Flexible Pressure Sensor for the Human–Computer Interface","authors":"Xinyu Hong, Zhijian Du, La Li, Kai Jiang, Di Chen, Guozhen Shen","doi":"10.1021/acssensors.4c02716","DOIUrl":"https://doi.org/10.1021/acssensors.4c02716","url":null,"abstract":"The pursuit of efficient and accurate human–computer interface design urgently requires high-performance sensors with pressure sensitivity, a wide detection range, and excellent cycling stability. Herein, a biomimetic honeycomb-like Ti3C2Tx MXene/bacterial cellulose (BC) aerogel with a negative Poisson’s ratio (ν = −0.14) synthesized from the bidirectional freeze-drying method is used as the active material for a flexible pressure sensor, which exhibits high sensitivity (20.14 kPa–1), fast response time (100 ms), excellent mechanical durability (5000 cycles), and a low detection limit (responding to a grain of rice weighing about 0.022 g). Moreover, when assembled into the sandwich-structured bending sensor with the aerogel layer at just 0.8 mm in thickness, the aerogel-based device has a wide angular detection range (2.7–156.3°), high sensitivity (0.47 deg–1), and good robustness, proving outstanding electromechanical performance. Significantly, a smart glove consisting of five bending sensors fixed to the proximal knuckles and a flexible circuit board as the signal processing unit was designed for the identification of the shape, demonstrating its promising applications in the field of human–computer interaction.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to “Rapid Identification of Drug Mechanisms with Deep Learning-Based Multichannel Surface-Enhanced Raman Spectroscopy”

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-18 DOI: 10.1021/acssensors.4c03526

Jiajia Sun, Wei Lai, Jiayan Zhao, Jinhong Xue, Tong Zhu, Mingshu Xiao, Tiantian Man, Ying Wan, Hao Pei, Li Li

引用次数: 0

Pop-Up Paper-Based Biosensor for a Dual-Mode Lung Cancer ctDNA Assay Based on Novel CoB Nanosheets with Dual-Enzyme Activities and a Portable Smartphone/Barometer for Readout

IF 8.9 1区化学

ACS Sensors Pub Date : 2024-12-18 DOI: 10.1021/acssensors.4c01470

Siyi Yang, Jiajia Zhu, Liyu Yang, Huanbao Fa, Yongzhong Wang, Danqun Huo, Changjun Hou, Daidi Zhong, Mei Yang

{"title":"Pop-Up Paper-Based Biosensor for a Dual-Mode Lung Cancer ctDNA Assay Based on Novel CoB Nanosheets with Dual-Enzyme Activities and a Portable Smartphone/Barometer for Readout","authors":"Siyi Yang, Jiajia Zhu, Liyu Yang, Huanbao Fa, Yongzhong Wang, Danqun Huo, Changjun Hou, Daidi Zhong, Mei Yang","doi":"10.1021/acssensors.4c01470","DOIUrl":"https://doi.org/10.1021/acssensors.4c01470","url":null,"abstract":"Timely monitoring of circulating tumor DNA (ctDNA) in serum is meaningful for personalized diagnosis and treatment for lung cancer. Cheap and efficient point-of-care testing (POCT) has emerged as a promising method, especially in a low-resource setting. Herein, (i) a 3D pop-up paper-based POCT device was designed and manufactured via a cheap method; it was used for saving time and efficiently building a biosensor; (ii) a novel cobalt boride nanosheet (CoB NS) nanozyme with abundant groups was used for POCT dual-mode signal transduction and then a portable smartphone/pressure meter to readout; (iii) a user-friendly smartphone app was fabricated for achieving more convenient POCT. Detailly, the dual-mode signal generated was based on the CoB NS with peroxidase activity to catalyze a chromogenic agent to develop color and with catalase activity to catalyze decomposition of H2O2 to O2. Density functional theory (DFT) and experimental results showed a good catalysis performance of the CoB NS via studying its five possible catalytic pathways, in which the metal Co is the catalytic active site center that acts as the electron donor and promotes electron transfer between the CoB NS and the adsorbed substrates. Benefiting from that, the proposed method showed good analytical ability in detecting ctDNA. Besides, its accuracy was valued by comparing it with the standard qPCR method to detect real samples from tumor cells and tumor-bearing mice, which showed a consistent result and potential practical applicability of the proposed method for POCT ctDNA. In general, this work not only provided a dual-mode POCT platform that could also be applied for other analytes but also first revealed the nanozyme properties of the CoB NS and inspired its new application from electrocatalysis, energy, etc. to biomedicine.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"14 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0