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Wireless, battery-free, subdermally implantable platforms for transcranial and long-range optogenetics in freely moving animals. Proc Natl Acad Sci U S A 2021; 118:2025775118. [PMID: 34301889 DOI: 10.1073/pnas.2025775118] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Wireless, battery-free, and fully subdermally implantable optogenetic tools are poised to transform neurobiological research in freely moving animals. Current-generation wireless devices are sufficiently small, thin, and light for subdermal implantation, offering some advantages over tethered methods for naturalistic behavior. Yet current devices using wireless power delivery require invasive stimulus delivery, penetrating the skull and disrupting the blood-brain barrier. This can cause tissue displacement, neuronal damage, and scarring. Power delivery constraints also sharply curtail operational arena size. Here, we implement highly miniaturized, capacitive power storage on the platform of wireless subdermal implants. With approaches to digitally manage power delivery to optoelectronic components, we enable two classes of applications: transcranial optogenetic activation millimeters into the brain (validated using motor cortex stimulation to induce turning behaviors) and wireless optogenetics in arenas of more than 1 m2 in size. This methodology allows for previously impossible behavioral experiments leveraging the modern optogenetic toolkit.
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Gawade DR, Ziemann S, Kumar S, Iacopino D, Belcastro M, Alfieri D, Schuhmann K, Anders M, Pigeon M, Barton J, O’Flynn B, Buckley JL. A Smart Archive Box for Museum Artifact Monitoring Using Battery-Less Temperature and Humidity Sensing. SENSORS 2021; 21:s21144903. [PMID: 34300641 PMCID: PMC8309753 DOI: 10.3390/s21144903] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 11/25/2022]
Abstract
For the first time, this paper reports a smart museum archive box that features a fully integrated wireless powered temperature and humidity sensor. The smart archive box has been specifically developed for microclimate environmental monitoring of stored museum artifacts in cultural heritage applications. The developed sensor does not require a battery and is wirelessly powered using Near Field Communications (NFC). The proposed solution enables a convenient means for wireless sensing with the operator by simply placing a standard smartphone in close proximity to the cardboard archive box. Wireless sensing capability has the advantage of enabling long-term environmental monitoring of the contents of the archive box without having to move and open the box for reading or battery replacement. This contributes to a sustainable preventive conservation strategy and avoids the risk of exposing the contents to the external environment, which may result in degradation of the stored artifacts. In this work, a low-cost and fully integrated NFC sensor has been successfully developed and demonstrated. The developed sensor is capable of wirelessly measuring temperature and relative humidity with a mean error of 0.37 °C and ±0.35%, respectively. The design has also been optimized for low power operation with a measured peak DC power consumption of 900 μW while yielding a 4.5 cm wireless communication range. The power consumption of the NFC sensor is one of the lowest found in the literature. To the author’s knowledge, the NFC sensor proposed in this paper is the first reporting of a smart archive box that is wirelessly powered and uniquely integrated within a cardboard archive box.
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Affiliation(s)
- Dinesh R. Gawade
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
- Correspondence: ; Tel.: +353-21-234-6442
| | - Steffen Ziemann
- ZFB Zentrum für Bucherhaltung GmbH, Bücherstraße 1, 04347 Leipzig, Germany; (S.Z.); (K.S.); (M.A.)
| | - Sanjeev Kumar
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - Daniela Iacopino
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - Marco Belcastro
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - Davide Alfieri
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - Katharina Schuhmann
- ZFB Zentrum für Bucherhaltung GmbH, Bücherstraße 1, 04347 Leipzig, Germany; (S.Z.); (K.S.); (M.A.)
| | - Manfred Anders
- ZFB Zentrum für Bucherhaltung GmbH, Bücherstraße 1, 04347 Leipzig, Germany; (S.Z.); (K.S.); (M.A.)
| | - Melusine Pigeon
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - John Barton
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - Brendan O’Flynn
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
| | - John L. Buckley
- Tyndall National Institute, University College Cork, Cork T12 R5CP, Ireland; (S.K.); (D.I.); (M.B.); (D.A.); (M.P.); (J.B.); (B.O.); (J.L.B.)
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Jiang C, Li X, Lian SWM, Ying Y, Ho JS, Ping J. Wireless Technologies for Energy Harvesting and Transmission for Ambient Self-Powered Systems. ACS NANO 2021; 15:9328-9354. [PMID: 34124880 DOI: 10.1021/acsnano.1c02819] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The era of the Internet of Things (IoT) requires sustainable and convenient methods to power widely distributed sensing devices. Self-powered systems have emerged as a potential solution that utilizes ambient energy from environmental sources such as electromagnetic fields, mechanical motion, solar power, and temperature gradients. Recently, the integration of wireless technologies with self-powered systems has attracted significant attention as a way to address challenges in energy harvesting and transport without the cost and inherent physical constraints of wires. This review summarizes recent progress in the application of wireless technology in self-powered systems for applications in harvesting ambient electromagnetic energy and in transferring power between devices. In addition, challenges and development trends in the future of wireless self-powered sensor networks are discussed.
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Affiliation(s)
- Chengmei Jiang
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, P.R. China
| | - Xunjia Li
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, P.R. China
| | - Sophie Wan Mei Lian
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Yibin Ying
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, P.R. China
| | - John S Ho
- Department of Electrical and Computer Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Jianfeng Ping
- School of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, P.R. China
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Nguyen TB, Nguyen TH, Chung WY. Battery-Free and Noninvasive Estimation of Food pH and CO 2 Concentration for Food Monitoring Based on Pressure Measurement. SENSORS 2020; 20:s20205853. [PMID: 33081188 PMCID: PMC7589979 DOI: 10.3390/s20205853] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/24/2020] [Accepted: 10/13/2020] [Indexed: 11/16/2022]
Abstract
In this paper, we developed a battery-free system that can be used to estimate food pH level and carbon dioxide (CO2) concentration in a food package from headspace pressure measurement. While being stored, food quality degrades gradually as a function of time and storage conditions. A food monitoring system is, therefore, essential to prevent the detrimental problems of food waste and eating spoilt food. Since conventional works that invasively measure food pH level and CO2 concentration in food packages have shown several disadvantages in terms of power consumption, system size, cost, and reliability, our study proposes a system utilizing package headspace pressure to accurately and noninvasively extract food pH level and CO2 concentration, which reflection food quality. To read pressure data in the food container, a 2.5 cm × 2.5 cm smart sensor tag was designed and integrated with near-field communication (NFC)-based energy harvesting technology for battery-free operation. To validate the reliability of the proposed extraction method, various experiments were conducted with different foods, such as pork, chicken, and fish, in two storage environments. The experimental results show that the designed system can operate in a fully passive mode to communicate with an NFC-enabled smartphone. High correlation coefficients of the headspace pressure with the food pH level and the headspace CO2 concentration were observed in all experiments, demonstrating the ability of the proposed system to estimate food pH level and CO2 concentration with high accuracy. A linear regression model was then trained to linearly fit the sensor data. To display the estimated results, we also developed an Android mobile application with an easy-to-use interface.
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Affiliation(s)
- Thanh-Binh Nguyen
- Department of Electronic Engineering, Pukyong National University, Busan 48513, Korea;
| | - Trung-Hau Nguyen
- Faculty of Applied Science, Ho Chi Minh City University of Technology–Vietnam National University, Ho Chi Minh City 72506, Vietnam;
| | - Wan-Young Chung
- Department of Electronic Engineering, Pukyong National University, Busan 48513, Korea;
- Correspondence:
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Cui L, Zhang Z, Gao N, Meng Z, Li Z. Radio Frequency Identification and Sensing Techniques and Their Applications-A Review of the State-of-the-Art. SENSORS 2019; 19:s19184012. [PMID: 31533321 PMCID: PMC6766906 DOI: 10.3390/s19184012] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 08/27/2019] [Accepted: 09/13/2019] [Indexed: 11/25/2022]
Abstract
Radio Frequency Identification (RFID) sensors, integrating the features of Wireless Information and Power Transfer (WIPT), object identification and energy efficient sensing capabilities, have been considered a new paradigm of sensing and communication for the futuristic information systems. RFID sensor tags featuring contactless sensing, wireless information transfer, wireless powered, light weight, non-line-of-sight transmission, flexible and pasteable are a critical enabling technology for future Internet-of-Things (IoT) applications, such as manufacturing, logistics, healthcare, agriculture and food. They have attracted numerous research efforts due to their innovative potential in the various application fields. However, there has been a gap between the in-lab investigations and the practical IoT application scenarios, which has motivated this survey of this research to identify the promising enabling techniques and the underlying challenges. This study aims to provide an exhaustive review on the state-of-art RFID sensor technologies from the system implementation perspective by focusing on the fundamental RF energy harvesting theories, the recent technical progresses and commercial solutions, innovative applications and some RFID sensor based IoT solutions, identify the underlying technological challenges at the time being, and give the future research trends and promising application fields in the rich sensing applications of the forthcoming IoT era.
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Affiliation(s)
- Lei Cui
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
| | - Zonghua Zhang
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
| | - Nan Gao
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
| | - Zhaozong Meng
- School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
| | - Zhen Li
- College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
- Nondestructive Detection and Monitoring Technology for High Speed Transportation Facilities, Key Laboratory of Ministry of Industry and Information Technology, Nanjing 211106, China.
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