This page has only limited features, please log in for full access.
The evolution of optical fiber technology has revolutionized a variety of fields, from optical transmission to environmental monitoring and biomedicine, given their unique properties and versatility. For biosensing purposes, the light guided in the fiber core is exposed to the surrounding media where the analytes of interest are detected by different techniques, according to the optical fiber configuration and biofunctionalization strategy employed. These configurations differ in manufacturing complexity, cost and overall performance. The biofunctionalization strategies can be carried out directly on bare fibers or on coated fibers. The former relies on interactions between the evanescent wave (EW) of the fiber and the analyte of interest, whereas the latter can comprise plasmonic methods such as surface plasmon resonance (SPR) and localized SPR (LSPR), both originating from the interaction between light and metal surface electrons. This review presents the basics of optical fiber immunosensors for a broad audience as well as the more recent research trends on the topic. Several optical fiber configurations used for biosensing applications are highlighted, namely uncladded, U-shape, D-shape, tapered, end-face reflected, fiber gratings and special optical fibers, alongside practical application examples. Furthermore, EW, SPR, LSPR and biofunctionalization strategies, as well as the most recent advances and applications of immunosensors, are also covered. Finally, the main challenges and an outlook over the future direction of the field is presented.
Maria Simone Soares; Miguel Vidal; Nuno F. Santos; Florinda M. Costa; Carlos Marques; Sónia O. Pereira; Cátia Leitão. Immunosensing Based on Optical Fiber Technology: Recent Advances. Biosensors 2021, 11, 305 .
AMA StyleMaria Simone Soares, Miguel Vidal, Nuno F. Santos, Florinda M. Costa, Carlos Marques, Sónia O. Pereira, Cátia Leitão. Immunosensing Based on Optical Fiber Technology: Recent Advances. Biosensors. 2021; 11 (9):305.
Chicago/Turabian StyleMaria Simone Soares; Miguel Vidal; Nuno F. Santos; Florinda M. Costa; Carlos Marques; Sónia O. Pereira; Cátia Leitão. 2021. "Immunosensing Based on Optical Fiber Technology: Recent Advances." Biosensors 11, no. 9: 305.
This paper proposed a liquid level measurement and classification system based on a fiber Bragg grating (FBG) temperature sensor array. For the oil classification, the fluids were dichotomized into oil and nonoil, i.e., water and emulsion. Due to the low variability of the classes, the random forest (RF) algorithm was chosen for the classification. Three different fluids, namely water, mineral oil, and silicone oil (Kryo 51), were identified by three FBGs located at 21.5 cm, 10.5 cm, and 3 cm from the bottom. The fluids were heated by a Peltier device placed at the bottom of the beaker and maintained at a temperature of 318.15 K during the entire experiment. The fluid identification by the RF algorithm achieved an accuracy of 100%. An average root mean squared error (RMSE) of 0.2603 cm, with a maximum RMSE lower than 0.4 cm, was obtained in the fluid level measurement also using the RF algorithm. Thus, the proposed method is a feasible tool for fluid identification and level estimation under temperature variation conditions and provides important benefits in practical applications due to its easy assembly and straightforward operation.
Katiuski Pereira; Wagner Coimbra; Renan Lazaro; Anselmo Frizera-Neto; Carlos Marques; Arnaldo Leal-Junior. FBG-Based Temperature Sensors for Liquid Identification and Liquid Level Estimation via Random Forest. Sensors 2021, 21, 4568 .
AMA StyleKatiuski Pereira, Wagner Coimbra, Renan Lazaro, Anselmo Frizera-Neto, Carlos Marques, Arnaldo Leal-Junior. FBG-Based Temperature Sensors for Liquid Identification and Liquid Level Estimation via Random Forest. Sensors. 2021; 21 (13):4568.
Chicago/Turabian StyleKatiuski Pereira; Wagner Coimbra; Renan Lazaro; Anselmo Frizera-Neto; Carlos Marques; Arnaldo Leal-Junior. 2021. "FBG-Based Temperature Sensors for Liquid Identification and Liquid Level Estimation via Random Forest." Sensors 21, no. 13: 4568.
This paper proposes the use of the fiber Bragg grating (FBG) temperature sensors array to estimate the fluid level. The tank is 100 cm in height and 30 cm in width, with 9 FBG sensors distributed along with the tank height. This work proposes level estimation in two steps: level detection (classification) and level estimation (regression). The level detection consists of finding under which FBG the level is. We dichotomize the classes in water and not water: air. For the detection, we use the following Machine Learning (ML) algorithms: Logistic Regression (LogR), Decision Tree (DT), and Support Vector Machine (SVM). We chose the algorithms based on their usability in literature and theoretical consolidation. The algorithm with the best results among the ones tested is DT, resulting in an average accuracy of 89.54%. For the level estimation, we use the wavelength shift in conjunction with the classification obtained via DT. The level estimation consists of estimating in cm the location of the level. The algorithms chosen are Weighted Linear Regression (WLR), Support Vector Regression (SVR), SVR with kernel selection minimize cost (SVRmin). Each of the applied algorithms presented better results in different level intervals. Thus, we propose the Mixed Model (MM), which selects the lowest Root Mean Square Error (RMSE) among the tested regression algorithms at each level and associates it with it. The MM has a RMSE of 3.56 cm, which is approximately four times smaller than when using WLR. The SVM and SVMmin have RMSE of 6.28 cm and 6.14 cm, respectively.
Katiuski Pereira Nascimento; Anselmo Frizera-Neto; Carlos Marques; Arnaldo Gomes Leal-Junior. Machine learning techniques for liquid level estimation using FBG temperature sensor array. Optical Fiber Technology 2021, 65, 102612 .
AMA StyleKatiuski Pereira Nascimento, Anselmo Frizera-Neto, Carlos Marques, Arnaldo Gomes Leal-Junior. Machine learning techniques for liquid level estimation using FBG temperature sensor array. Optical Fiber Technology. 2021; 65 ():102612.
Chicago/Turabian StyleKatiuski Pereira Nascimento; Anselmo Frizera-Neto; Carlos Marques; Arnaldo Gomes Leal-Junior. 2021. "Machine learning techniques for liquid level estimation using FBG temperature sensor array." Optical Fiber Technology 65, no. : 102612.
The development of better monitoring technologies, the early combat of outbreaks, massive mortality, and promoting sustainability are challenges that the aquaculture industry still faces, and the development of solutions for this is an open problem. In this paper, focusing our attention on monitoring technologies as a promising solution to these issues, we report a Gaussian distribution model for detecting dangerous operating conditions in industrial fish farming. This approach allows us to indicate through a 2D image visualization when fish production is under normal, warning, or dangerous operating conditions. Furthermore, our proposed method has promising possibilities for application in the most varied fields of science, given that the mathematical procedure described allows us to discover the fundamental statistical structure of physical, chemical, and biological systems governed by laws of a probabilistic nature.
Luís Silva; Bruna Lopes; Isidro Blanquet; Carlos Marques. Gaussian Distribution Model for Detecting Dangerous Operating Conditions in Industrial Fish Farming. Applied Sciences 2021, 11, 5875 .
AMA StyleLuís Silva, Bruna Lopes, Isidro Blanquet, Carlos Marques. Gaussian Distribution Model for Detecting Dangerous Operating Conditions in Industrial Fish Farming. Applied Sciences. 2021; 11 (13):5875.
Chicago/Turabian StyleLuís Silva; Bruna Lopes; Isidro Blanquet; Carlos Marques. 2021. "Gaussian Distribution Model for Detecting Dangerous Operating Conditions in Industrial Fish Farming." Applied Sciences 11, no. 13: 5875.
This paper presents the development and the performance analysis of a force sensor using a novel high stretchable polymer optical fiber (POF) fabricated using the light polymerization spinning (LPS) fiber. The system consists of an LPS-POF fiber encapsulated in a flexible material polydimethylsiloxane (PDMS), in addition to a light source and a photodetector. The sensor was characterized by using a commercial 3-axis force sensor K3D60a ±500N/VA (ME Systeme, Germany). Since the LPS-POF and PDMS are viscoelastic materials, tests with loading and unloading cycles were performed to evaluate the sensor response. A viscoelasticity compensation model was proposed to decrease the errors and the sensor phase delay provoked by the viscoelastic behavior. In addition, the LPS-POF force sensor was applied on two different applications, as a gait perturbation system for balance assessment and as a walking cane for gait assistance. Results showed that proposed sensor presents a linear response, with determinant coefficient (R2) of 0:9974, and high sensitivity (S = 40N=V). However, the unload time presented high phase delay and errors, corroborating the viscoelastic behavior. Compensated response presented lower hysteresis, leading to a decrease of the root mean square error (RMSE) of approximately 65%. Moreover, numerical integration was used as performance metric for the results of both applications and presented a decrease of 48% in the first application and up to 46% in the second application when used viscoelasticity compensation. The proposed sensor is small and versatile for different applications, and presents simple fabrication, data acquisition and processing.
Leticia Avellar; Gabriel Delgado; Eduardo Rocon; Carlos Marques; Anselmo Frizera; Arnaldo Leal-Junior. Polymer Optical Fiber-Embedded Force Sensor System for Assistive Devices With Dynamic Compensation. IEEE Sensors Journal 2021, 21, 13255 -13262.
AMA StyleLeticia Avellar, Gabriel Delgado, Eduardo Rocon, Carlos Marques, Anselmo Frizera, Arnaldo Leal-Junior. Polymer Optical Fiber-Embedded Force Sensor System for Assistive Devices With Dynamic Compensation. IEEE Sensors Journal. 2021; 21 (12):13255-13262.
Chicago/Turabian StyleLeticia Avellar; Gabriel Delgado; Eduardo Rocon; Carlos Marques; Anselmo Frizera; Arnaldo Leal-Junior. 2021. "Polymer Optical Fiber-Embedded Force Sensor System for Assistive Devices With Dynamic Compensation." IEEE Sensors Journal 21, no. 12: 13255-13262.
Computing performance and hardware integrity are tightly linked to adequate thermal management in datacenters. In addition, a large share of its electricity bills comes from cooling systems, so there is a pressing need for enhanced thermal management systems. This paper proposes a fiber Bragg grating (FBG) quasi-distributed sensing device as an alternative to electronic sensors. The main focus is to demonstrate that a FBG-based solution allows thermal measurement at critical non-monitored regions (blind spots) within a server in an acquisition rate of 1 Hz, with thermal sensitivity of 8.757 pm/°C, a thermal resolution smaller than 1 °C and spatial resolution and multiplexing needed to monitoring diverse blind spots where there is virtually no room for adapting conventional sensors. In addition, we also monitor spots where there are already internal sensors next to them (referential spots), such as central processing unit (CPU) and graphics processing unit (GPU). As a result, a simple FBG sensor calibration technique is proposed using those referential spots. The technique proposed can be scaled out to monitor a large number of elements across large areas in a datacenter environment, since quasi-distributed FBG sensing signal can be transmitted over longer optical fibers than those employed in optical distributed temperature systems (DTS).
Raphael A. G. dos Santos; Arnaldo G. Leal-Junior; Moises R. N. Ribeiro; Eduardo A. Beninca; Carlos A. F. Marques; Luis Pereira; Paulo Antunes; Joao H. G. M. Correa; Maria J. Pontes; Anselmo Frizera Neto; Paulo S. B. Andre. Datacenter Thermal Monitoring Without Blind Spots: FBG-Based Quasi-Distributed Sensing. IEEE Sensors Journal 2021, 21, 9869 -9876.
AMA StyleRaphael A. G. dos Santos, Arnaldo G. Leal-Junior, Moises R. N. Ribeiro, Eduardo A. Beninca, Carlos A. F. Marques, Luis Pereira, Paulo Antunes, Joao H. G. M. Correa, Maria J. Pontes, Anselmo Frizera Neto, Paulo S. B. Andre. Datacenter Thermal Monitoring Without Blind Spots: FBG-Based Quasi-Distributed Sensing. IEEE Sensors Journal. 2021; 21 (8):9869-9876.
Chicago/Turabian StyleRaphael A. G. dos Santos; Arnaldo G. Leal-Junior; Moises R. N. Ribeiro; Eduardo A. Beninca; Carlos A. F. Marques; Luis Pereira; Paulo Antunes; Joao H. G. M. Correa; Maria J. Pontes; Anselmo Frizera Neto; Paulo S. B. Andre. 2021. "Datacenter Thermal Monitoring Without Blind Spots: FBG-Based Quasi-Distributed Sensing." IEEE Sensors Journal 21, no. 8: 9869-9876.
Arnaldo Leal-Junior; Jingjing Guo; Rui Min; António José Fernandes; Anselmo Frizera-Neto; Carlos Marques. Photonic smart bandage for wound healing assessment. Photonics Research 2021, 9, 272 .
AMA StyleArnaldo Leal-Junior, Jingjing Guo, Rui Min, António José Fernandes, Anselmo Frizera-Neto, Carlos Marques. Photonic smart bandage for wound healing assessment. Photonics Research. 2021; 9 (3):272.
Chicago/Turabian StyleArnaldo Leal-Junior; Jingjing Guo; Rui Min; António José Fernandes; Anselmo Frizera-Neto; Carlos Marques. 2021. "Photonic smart bandage for wound healing assessment." Photonics Research 9, no. 3: 272.
Aquaculture is a fundamental sector of the food industry nowadays. However, to become a sustainable and more profitable industry, it is necessary to monitor several associated parameters, such as temperature, salinity, ammonia, potential of hydrogen, nitrogen dioxide, bromine, among others. Their regular and simultaneous monitoring is expected to predict and avoid catastrophes, such as abnormal fish mortality rates. In this paper, we propose a novel anomaly detection approach for the early prediction of high fish mortality based on a multivariate Gaussian probability model. The goal of this approach is to determine the correlation between the number of daily registered physicochemical parameters of the fish tank water and the fish mortality. The proposed machine learning model was fitted with data from the weaning and pre-fattening phases of Senegalese sole (Solea senegalensis) collected over 2018, 2019, and 2020. This approach is suitable for real-time tracking and successful prediction of up to 80% of the high fish mortality rates. To the best of our knowledge, the proposed anomaly detection approach is the first time studied and applied in the framework of the aquaculture industry.
Bruna D. M. Lopes; Luís C. B. Silva; Isidro M. Blanquet; Pétia Georgieva; Carlos A. F. Marques. Prediction of fish mortality based on a probabilistic anomaly detection approach for recirculating aquaculture system facilities. Review of Scientific Instruments 2021, 92, 025119 .
AMA StyleBruna D. M. Lopes, Luís C. B. Silva, Isidro M. Blanquet, Pétia Georgieva, Carlos A. F. Marques. Prediction of fish mortality based on a probabilistic anomaly detection approach for recirculating aquaculture system facilities. Review of Scientific Instruments. 2021; 92 (2):025119.
Chicago/Turabian StyleBruna D. M. Lopes; Luís C. B. Silva; Isidro M. Blanquet; Pétia Georgieva; Carlos A. F. Marques. 2021. "Prediction of fish mortality based on a probabilistic anomaly detection approach for recirculating aquaculture system facilities." Review of Scientific Instruments 92, no. 2: 025119.
This paper presents the development and feasibility tests of a cortisol immunosensor. The sensor is based on surface plasmon resonance (SPR) using an unclad plastic optical fiber (POF) in which the SPR is used as sensitivity enhancer, promoted by a gold/palladium (AuPd) alloy coating. The AuPd coated fibers were functionalized with an anti-cortisol antibody and passivated with bovine serum albumin (BSA) to be tested in the presence of cortisol as target analyte. The antibody-antigen binding reaction caused a variation of the refractive index on the surface of the AuPd coating, which leads to a shift of the SPR signature wavelength. The sensor was tested for different cortisol concentrations, ranging from 0.005 to 10 ng/mL. The reported biosensor presented a total wavelength shift of 15 nm for the testing range, putting in evidence a high sensitivity. Control tests for selectivity assessment were also performed. Concentrations as high as 10 ng/mL of cortisol, in a sensor functionalized with anti-hCG antibodies, only resulted in 1 nm variation of the resonance wavelength, 15 times lower than the one functionalized with the anti-cortisol antibodies, which indicates a high selectivity for the proposed approach. For this sensing approach the limit of detection (LOD) was determined to be 1 pg/mL. The proposed SPR based POF sensor has a low-cost interrogation method, high sensitivity and low LOD, straightforward signal processing and find important applications in different biological fields.
Cátia Leitão; Arnaldo Leal-Junior; Ana R. Almeida; Sónia O. Pereira; Florinda M. Costa; João L. Pinto; C. Marques. Cortisol AuPd plasmonic unclad POF biosensor. Biotechnology Reports 2021, 29, e00587 .
AMA StyleCátia Leitão, Arnaldo Leal-Junior, Ana R. Almeida, Sónia O. Pereira, Florinda M. Costa, João L. Pinto, C. Marques. Cortisol AuPd plasmonic unclad POF biosensor. Biotechnology Reports. 2021; 29 ():e00587.
Chicago/Turabian StyleCátia Leitão; Arnaldo Leal-Junior; Ana R. Almeida; Sónia O. Pereira; Florinda M. Costa; João L. Pinto; C. Marques. 2021. "Cortisol AuPd plasmonic unclad POF biosensor." Biotechnology Reports 29, no. : e00587.
This paper presents the development of a thermal measurement system for density, specific heat capacity and thermal conductivity in fluids. Due to toxic and flammable environment often found in oil industry, Fiber Bragg Gratings (FBGs) were used in the sensor development, which consists in a diaphragm-embedded FBG, to estimate density, and a FBG temperature sensor, to estimate specific heat and thermal conductivity. The diaphragm system, with sensitivity of 0.025 nm/kPa, was employed for density measurements in water, diesel and crude oil, becoming a feasible option for density estimation in fluids. The temperature sensor, with sensitivity of 11.5 pm/°C, was used to propose a method to estimate specific heat and thermal conductivity. The method uses the quantity of heat equation to estimate specific heat, then, density and specific heat to estimate thermal conductivity. To validate the method, it was presented three setups based in an acrylic tank, a Becker and a test tube. The tests were performed with water, mineral oil and kryo 51 oil. In addition the proposed system can be integrated in order to realize simultaneous measurements of density, specific heat and thermal conductivity with the same structure.
Renan C. Lazaro; Carlos Marques; Carlos E. S. Castellani; Arnaldo Leal-Junior. FBG-Based Measurement Systems for Density, Specific Heat Capacity and Thermal Conductivity Assessment for Liquids. IEEE Sensors Journal 2021, 21, 7657 -7664.
AMA StyleRenan C. Lazaro, Carlos Marques, Carlos E. S. Castellani, Arnaldo Leal-Junior. FBG-Based Measurement Systems for Density, Specific Heat Capacity and Thermal Conductivity Assessment for Liquids. IEEE Sensors Journal. 2021; 21 (6):7657-7664.
Chicago/Turabian StyleRenan C. Lazaro; Carlos Marques; Carlos E. S. Castellani; Arnaldo Leal-Junior. 2021. "FBG-Based Measurement Systems for Density, Specific Heat Capacity and Thermal Conductivity Assessment for Liquids." IEEE Sensors Journal 21, no. 6: 7657-7664.
In this paper, two configurations are presented for simultaneous measurement of strain and temperature by reducing the cross-section area in small regions of the fiber where the Bragg gratings were inscribed, to achieve dual sensitivity to strain and handle the cross-sensitivity to temperature of a single grating. Each configuration used a single Bragg grating inscribed in a 2-ring undoped poly (methyl methacrylate) microstructured polymer optical fiber (mPOF) with a pulsed Q-switched Nd:YAG laser system. To reduce the cross-section area, a femtosecond laser system was used to remove portions of the mPOF, creating micromachined slots in the fiber, with different lengths for each configuration. The result was the appearance of a second peak when strain is applied, with a higher strain sensitivity. The thermal, humidity and refractive index response of these gratings were analyzed, revealing a thermal sensitivity almost twice the value of a common Bragg grating inscribed in the same mPOF. The maximum root mean square errors obtained when both strain and temperature are applied in these grating devices were 52 με% and 0.675 °C, respectively. These results show that the method used to produce these devices could be a suitable and reliable option to fabricate very compact sensors to simultaneously measure strain and other parameters, such as temperature. Moreover, these devices may be used as phase-shift gratings since the position of the reflective peaks and their relative spectral separation may be modulated by applying strain to the optical fiber.
Luis Pereira; Rui Min; Tiago Paixao; Carlos Marques; Getinet Woyessa; Ole Bang; Joao Lemos Pinto; Paulo Fernando Da Costa Antunes. Compact Dual-Strain Sensitivity Polymer Optical Fiber Grating for Multi-Parameter Sensing. Journal of Lightwave Technology 2020, 39, 2230 -2240.
AMA StyleLuis Pereira, Rui Min, Tiago Paixao, Carlos Marques, Getinet Woyessa, Ole Bang, Joao Lemos Pinto, Paulo Fernando Da Costa Antunes. Compact Dual-Strain Sensitivity Polymer Optical Fiber Grating for Multi-Parameter Sensing. Journal of Lightwave Technology. 2020; 39 (7):2230-2240.
Chicago/Turabian StyleLuis Pereira; Rui Min; Tiago Paixao; Carlos Marques; Getinet Woyessa; Ole Bang; Joao Lemos Pinto; Paulo Fernando Da Costa Antunes. 2020. "Compact Dual-Strain Sensitivity Polymer Optical Fiber Grating for Multi-Parameter Sensing." Journal of Lightwave Technology 39, no. 7: 2230-2240.
Carlos Marques; Kazuhide Nakajima; Daniele Tosi; Fumihiko Ito; Zuyuan He; Salvador Sales; Stefan Wabnitz. Preface to the special issue on distributed fiber optic sensing. Optical Fiber Technology 2020, 61, 102411 .
AMA StyleCarlos Marques, Kazuhide Nakajima, Daniele Tosi, Fumihiko Ito, Zuyuan He, Salvador Sales, Stefan Wabnitz. Preface to the special issue on distributed fiber optic sensing. Optical Fiber Technology. 2020; 61 ():102411.
Chicago/Turabian StyleCarlos Marques; Kazuhide Nakajima; Daniele Tosi; Fumihiko Ito; Zuyuan He; Salvador Sales; Stefan Wabnitz. 2020. "Preface to the special issue on distributed fiber optic sensing." Optical Fiber Technology 61, no. : 102411.
In this paper, we thoroughly discuss many aspects of diaphragm-embedded optical fiber sensors covering industrial, robotics and medical applications: from the modeling to field applications, which also include sensor fabrication (such as interferometers, grating-based sensors, intensity variation sensors) in standard and specialty optical fibers, diaphragm and optical fiber materials thermal and mechanical characterizations. The operation limits of the sensors, interrogation techniques and the measurement possibilities that such sensors provide are also discussed. We expect that this review and tutorial provide valuable information regarding the optical fiber sensor approach, material selection and sensor assembly for the development of diaphragm-embedded optical fiber sensors.
Arnaldo Gomes Leal-Junior; Carlos Marques. Diaphragm-Embedded Optical Fiber Sensors: A Review and Tutorial. IEEE Sensors Journal 2020, 21, 12719 -12733.
AMA StyleArnaldo Gomes Leal-Junior, Carlos Marques. Diaphragm-Embedded Optical Fiber Sensors: A Review and Tutorial. IEEE Sensors Journal. 2020; 21 (11):12719-12733.
Chicago/Turabian StyleArnaldo Gomes Leal-Junior; Carlos Marques. 2020. "Diaphragm-Embedded Optical Fiber Sensors: A Review and Tutorial." IEEE Sensors Journal 21, no. 11: 12719-12733.
The control of tendon-driven actuators is mainly affected by the tendon behavior under stress or strain. The measurement of these parameters on artificial tendons brings benefits on the control and novel approaches for soft robotics actuators. This paper presents the development of polymer optical fiber sensors fabricated through the light spinning polymerization process (LPS-POF) in artificial tendons. This fiber has exceptionally low Young’s modulus and high strain limits, suitable for sensing applications in soft structures. Two different configurations are tested, indicating the possibility of measuring strain and stress applied in the tendon with determination coefficients of 0.996 and 0.994, respectively.
Arnaldo G. Leal-Junior; Wagner Coimbra; Carlos Marques; Anselmo Frizera. Highly Stretchable Polymer Optical Fiber for Mechanical Sensing in Artificial Tendons: Towards Novel Sensors for Soft Robotics. Actuators 2020, 9, 125 .
AMA StyleArnaldo G. Leal-Junior, Wagner Coimbra, Carlos Marques, Anselmo Frizera. Highly Stretchable Polymer Optical Fiber for Mechanical Sensing in Artificial Tendons: Towards Novel Sensors for Soft Robotics. Actuators. 2020; 9 (4):125.
Chicago/Turabian StyleArnaldo G. Leal-Junior; Wagner Coimbra; Carlos Marques; Anselmo Frizera. 2020. "Highly Stretchable Polymer Optical Fiber for Mechanical Sensing in Artificial Tendons: Towards Novel Sensors for Soft Robotics." Actuators 9, no. 4: 125.
Present study demonstrates the fiber-optic localized surface plasmon resonance (LSPR) based sensitive biosensor for detection of Shigella bacterial species. The proposed sensor is comprised of Multi-Core Fiber (MCF) having seven cores arranged in a hexagonal shape and spliced with Single-Mode Fiber (SMF) for efficient detection. An increase in evanescent waves (EWs) and coupling of modes between MCF cores was achieved by etching process in a controlled manner. The etching process also increases the refractive index sensitivity (RIS) of the proposed sensor. Further, coating with nanomaterials like gold nanoparticles (AuNPs) and molybdenum disulfide (MoS2) helps in the excitation of localized plasmons. Here, Shigella specific oligonucleotide probes are used as a recognition element. The results demonstrate that the proposed sensor can successfully and efficiently detect the Shigella bacterial species with high sensitivity. Shigella in the range of 10 100 CFU/mL (colony-forming unit) can cause serious intestinal infection and therefore, its detection in this range is critical. The proposed sensor demonstrates a linearity range from 1 to 109 CFU/mL with a detection time of 5 min and a limit of detection (LoD) of 1.56 CFU/mL. The proposed sensing methodology can be a potential alternative to the commercially existing ones in the near future.
Santosh Kumar; Zhu Guo; Ragini Singh; Qinglin Wang; Bingyuan Zhang; Shuang Cheng; Feng-Zhen Liu; Carlos Marques; Brajesh Kumar Kaushik; Rajan Jha. MoS2 Functionalized Multicore Fiber Probes for Selective Detection of Shigella Bacteria Based on Localized Plasmon. Journal of Lightwave Technology 2020, 39, 4069 -4081.
AMA StyleSantosh Kumar, Zhu Guo, Ragini Singh, Qinglin Wang, Bingyuan Zhang, Shuang Cheng, Feng-Zhen Liu, Carlos Marques, Brajesh Kumar Kaushik, Rajan Jha. MoS2 Functionalized Multicore Fiber Probes for Selective Detection of Shigella Bacteria Based on Localized Plasmon. Journal of Lightwave Technology. 2020; 39 (12):4069-4081.
Chicago/Turabian StyleSantosh Kumar; Zhu Guo; Ragini Singh; Qinglin Wang; Bingyuan Zhang; Shuang Cheng; Feng-Zhen Liu; Carlos Marques; Brajesh Kumar Kaushik; Rajan Jha. 2020. "MoS2 Functionalized Multicore Fiber Probes for Selective Detection of Shigella Bacteria Based on Localized Plasmon." Journal of Lightwave Technology 39, no. 12: 4069-4081.
Cortisol is a stress biomarker whose chronic elevated levels are associated with higher risk of metabolic syndromes, anxiety, and cardiovascular diseases, among other medical conditions. A new immunosensor based on plasmonic tilted fiber Bragg grating (TFBG) has been developed and tested for rapid and ultrasensitive cortisol detection. The gold coated TFBG was characterized to surrounding refractive index (SRI) changes and functionalized with anti-cortisol antibodies via cysteamine. The functionalization was monitored, allowing to verify the SRI alteration at the fiber surface by the respective molecular adhesion. In this work, an alternative method to the monitoring of the most sensitive surface plasmon resonance mode was explored, based on tracking the local maximum of the plasmonic signature of the lower envelope of the spectra. With this interrogation method, the sensor achieved a sensitivity to cortisol detection of 0.275 ± 0.028 nm/ng.mL-1, for the detection range of 0.1-10 ng/mL, with a total wavelength shift of around 3 nm, which is more than an order of magnitude higher than the usually reported TFBG plasmonic immunosensors. The proposed biosensor provides a rapid, highly sensitive, label-free, low-volume consumption method for cortisol detection, with a working range suitable to monitor different biological samples.
Catia Leitao; Sonia O. Pereira; Nelia Alberto; Maxime Lobry; Mederic Loyez; Florinda M. Costa; Joao L. Pinto; Christophe Caucheteur; Carlos Marques. Cortisol in-fiber ultrasensitive plasmonic immunosensing. IEEE Sensors Journal 2020, PP, 1 -1.
AMA StyleCatia Leitao, Sonia O. Pereira, Nelia Alberto, Maxime Lobry, Mederic Loyez, Florinda M. Costa, Joao L. Pinto, Christophe Caucheteur, Carlos Marques. Cortisol in-fiber ultrasensitive plasmonic immunosensing. IEEE Sensors Journal. 2020; PP (99):1-1.
Chicago/Turabian StyleCatia Leitao; Sonia O. Pereira; Nelia Alberto; Maxime Lobry; Mederic Loyez; Florinda M. Costa; Joao L. Pinto; Christophe Caucheteur; Carlos Marques. 2020. "Cortisol in-fiber ultrasensitive plasmonic immunosensing." IEEE Sensors Journal PP, no. 99: 1-1.
Aquaculture requires the monitoring of several parameters simultaneously such as temperature, salinity, ammonia, potential of hydrogen, nitrogen dioxide, bromine, among others to preserve the well-being of the fish, optimize production and meet the requirements of environmental ethics. To contribute to the fulfillment of these requirements, we propose here to use a data analysis technique called principal component analysis (PCA). This data processing technique is a mathematical procedure that performs a transformation on the data to convert possibly correlated parameters into a new set of parameters called principal components. Once the PCA performs an exploratory analysis on the data, we can use it to reveal the internal structure of the aquaculture data, to explain not only the variance in the data, but also the correlation between them. The choice of PCA in this study was based on the fact that it is a multivariate statistical technique of data that is very well known and widely applied in several scientific fields. Furthermore, the PCA allows to reduce the dimensionality of datasets, increasing their interpretability, but at the same time minimizing the loss of information. Results obtained with the use of PCA on the data related to the weaning and pre-fattening phases of Senegalese sole (species Solea senegalensis) collected during the years 2018 and 2019, respectively, show the feasibility of this proposal in the simultaneous monitoring of aquaculture parameters and take future critical conclusions to predict events in the aquaculture data analysis. Furthermore, there are no records to date of studies in the aquaculture industry in terms of data processing and analysis in detail. Currently, the scientific literature in the area of aquaculture exhibits a consistent body of knowledge based on the characterization of the physiology and environment of fish, with research on instrumentation still scarce. In this perspective, this study not only represents a substantial novelty for the field of aquaculture for performing the data processing directed at the aquaculture industry for the first time, but it will also allow the development of a new branch of research focused specifically in a support tool for aquaculture recirculating systems-based industry.
Luis C.B. Silva; Bruna Lopes; Maria J. Pontes; Isidro Blanquet; Marcelo E.V. Segatto; Carlos Marques. Fast decision-making tool for monitoring recirculation aquaculture systems based on a multivariate statistical analysis. Aquaculture 2020, 530, 735931 .
AMA StyleLuis C.B. Silva, Bruna Lopes, Maria J. Pontes, Isidro Blanquet, Marcelo E.V. Segatto, Carlos Marques. Fast decision-making tool for monitoring recirculation aquaculture systems based on a multivariate statistical analysis. Aquaculture. 2020; 530 ():735931.
Chicago/Turabian StyleLuis C.B. Silva; Bruna Lopes; Maria J. Pontes; Isidro Blanquet; Marcelo E.V. Segatto; Carlos Marques. 2020. "Fast decision-making tool for monitoring recirculation aquaculture systems based on a multivariate statistical analysis." Aquaculture 530, no. : 735931.
This paper presents the development of a wearable smart textile for mechanical perturbation assessment during gait based on distributed optical fiber sensor system using the transmission-reflection analysis (TRA). In this case, magnesium and erbium co-doped optical fiber is employed as a high scattering medium, which results in high spatial resolution for the technique (in the order of a few millimeters). The optical fiber was embedded in a garment and controlled displacements at predefined locations on the garment were applied, where the simultaneous assessment of displacement amplitude and location was obtained using a slope-assisted technique. In the proposed technique, the slope inverses of the transmission-reflection curves are correlated with the displacement applied on the fiber, where a determination coefficient (R2) of 0.996 was obtained. Then, the sloped-normalized reflection (or backscattered) response is used on the disturbance location estimation with relative errors as low as 3.7%. The on-body application tests show an inherent insensitivity of the proposed smart garment to body movement due to natural gait movements, indicating the feasibility of the proposed approach on detecting only the transverse induced mechanical perturbations. In the wearable tests, the sensor system shows high correlation (R2 higher than 0.98) in the tests with different volunteers (subjected to similar displacements at predefined locations) and millimeter-accuracy on the disturbance location estimation.
Arnaldo G. Leal-Junior; Diana Ribeiro; Leticia M. Avellar; Mariana Silveira; Camilo A. Rodriguez Diaz; Anselmo Frizera-Neto; Wilfried Blanc; Eduardo Rocon; Carlos Marques. Wearable and Fully-Portable Smart Garment for Mechanical Perturbation Detection With Nanoparticles Optical Fibers. IEEE Sensors Journal 2020, 21, 2995 -3003.
AMA StyleArnaldo G. Leal-Junior, Diana Ribeiro, Leticia M. Avellar, Mariana Silveira, Camilo A. Rodriguez Diaz, Anselmo Frizera-Neto, Wilfried Blanc, Eduardo Rocon, Carlos Marques. Wearable and Fully-Portable Smart Garment for Mechanical Perturbation Detection With Nanoparticles Optical Fibers. IEEE Sensors Journal. 2020; 21 (3):2995-3003.
Chicago/Turabian StyleArnaldo G. Leal-Junior; Diana Ribeiro; Leticia M. Avellar; Mariana Silveira; Camilo A. Rodriguez Diaz; Anselmo Frizera-Neto; Wilfried Blanc; Eduardo Rocon; Carlos Marques. 2020. "Wearable and Fully-Portable Smart Garment for Mechanical Perturbation Detection With Nanoparticles Optical Fibers." IEEE Sensors Journal 21, no. 3: 2995-3003.
This paper presents the materials analysis and comparison of fiber gratings inscribed using the plane-by-plane femtosecond laser method in cyclic transparent optical polymer (CYTOP) fibers at different angles. Specifically, the gratings were inscribed with 0°, 45° and 90° angle in respect to the core's optical axis. The materials molecular structures are investigated through the Fourier-transform infrared spectroscopy (FTIR) and Raman spectroscopy, which indicate that the changes on the material structure are highly controlled and restricted to the fiber core, as an important benefit of the plane-by-plane inscription method. In order to verify the impact of the grating inscription in the samples' physical properties, thermogravimetric analysis (TGA) and dynamic mechanical analysis (DMA) are performed. Results show an increase in the degradation temperature in higher inscription angles (90°), whereas there is no significant variation in the polymer glass transition temperature (Tg) between samples. However, the frequency shift on the polymer loss factor monotonically increases with the decrease of the grating angle, i.e., 0° sample shows the largest shift in the loss factor. Regarding the elastic modulus, the 90° inscription angle sample presents the lowest elastic modulus. The results obtained in these analyses provide guidelines on the fabrication and operation limits (in terms of temperature and stress) of POF based devices, including tunable filters and sensors.
Arnaldo Leal-Junior; Antreas Theodosiou; António José Fernandes; Anselmo Frizera; Kyriacos Kalli; Carlos Marques. Perfluorinated fiber material properties following femtosecond laser inscription. Optical Materials 2020, 109, 110412 .
AMA StyleArnaldo Leal-Junior, Antreas Theodosiou, António José Fernandes, Anselmo Frizera, Kyriacos Kalli, Carlos Marques. Perfluorinated fiber material properties following femtosecond laser inscription. Optical Materials. 2020; 109 ():110412.
Chicago/Turabian StyleArnaldo Leal-Junior; Antreas Theodosiou; António José Fernandes; Anselmo Frizera; Kyriacos Kalli; Carlos Marques. 2020. "Perfluorinated fiber material properties following femtosecond laser inscription." Optical Materials 109, no. : 110412.
Arnaldo Leal-Junior; Letícia Avellar; Anselmo Frizera Neto; Paulo Antunes; Carlos Marques; C. Leitao. Polymer optical fibers for mechanical wave monitoring. Optics Letters 2020, 45, 5057 .
AMA StyleArnaldo Leal-Junior, Letícia Avellar, Anselmo Frizera Neto, Paulo Antunes, Carlos Marques, C. Leitao. Polymer optical fibers for mechanical wave monitoring. Optics Letters. 2020; 45 (18):5057.
Chicago/Turabian StyleArnaldo Leal-Junior; Letícia Avellar; Anselmo Frizera Neto; Paulo Antunes; Carlos Marques; C. Leitao. 2020. "Polymer optical fibers for mechanical wave monitoring." Optics Letters 45, no. 18: 5057.