1
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Perdomo SA, Valencia DP, Velez GE, Jaramillo-Botero A. Advancing abiotic stress monitoring in plants with a wearable non-destructive real-time salicylic acid laser-induced-graphene sensor. Biosens Bioelectron 2024; 255:116261. [PMID: 38565026 DOI: 10.1016/j.bios.2024.116261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/04/2024]
Abstract
Drought and salinity stresses present significant challenges that exert a severe impact on crop productivity worldwide. Understanding the dynamics of salicylic acid (SA), a vital phytohormone involved in stress response, can provide valuable insights into the mechanisms of plant adaptation to cope with these challenging conditions. This paper describes and tests a sensor system that enables real-time and non-invasive monitoring of SA content in avocado plants exposed to drought and salinity. By using a reverse iontophoretic system in conjunction with a laser-induced graphene electrode, we demonstrated a sensor with high sensitivity (82.3 nA/[μmol L-1⋅cm-2]), low limit of detection (LOD, 8.2 μmol L-1), and fast sampling response (20 s). Significant differences were observed between the dynamics of SA accumulation in response to drought versus those of salt stress. SA response under drought stress conditions proved to be faster and more intense than under salt stress conditions. These different patterns shed light on the specific adaptive strategies that avocado plants employ to cope with different types of environmental stressors. A notable advantage of the proposed technology is the minimal interference with other plant metabolites, which allows for precise SA detection independent of any interfering factors. In addition, the system features a short extraction time that enables an efficient and rapid analysis of SA content.
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Affiliation(s)
- Sammy A Perdomo
- Omicas Alliance. Pontificia Universidad Javeriana, Cali, 760031, Colombia
| | | | | | - Andres Jaramillo-Botero
- Omicas Alliance. Pontificia Universidad Javeriana, Cali, 760031, Colombia; Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, United States.
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2
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Wang X, Qi H, Shao Y, Zhao M, Chen H, Chen Y, Ying Y, Wang Y. Extrusion Printing of Surface-Functionalized Metal-Organic Framework Inks for a High-Performance Wearable Volatile Organic Compound Sensor. Adv Sci (Weinh) 2024:e2400207. [PMID: 38655847 DOI: 10.1002/advs.202400207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/11/2024] [Indexed: 04/26/2024]
Abstract
Wearable sensors hold immense potential for real-time and non-destructive sensing of volatile organic compounds (VOCs), requiring both efficient sensing performance and robust mechanical properties. However, conventional colorimetric sensor arrays, acting as artificial olfactory systems for highly selective VOC profiling, often fail to meet these requirements simultaneously. Here, a high-performance wearable sensor array for VOC visual detection is proposed by extrusion printing of hybrid inks containing surface-functionalized sensing materials. Surface-modified hydrophobic polydimethylsiloxane (PDMS) improves the humidity resistance and VOC sensitivity of PDMS-coated dye/metal-organic frameworks (MOFs) composites. It also enhances their dispersion within liquid PDMS matrix, thereby promoting the hybrid liquid as high-quality extrusion-printing inks. The inks enable direct and precise printing on diverse substrates, forming a uniform and high particle-loading (70 wt%) film. The printed film on a flexible PDMS substrate demonstrates satisfactory flexibility and stretchability while retaining excellent sensing performance from dye/MOFs@PDMS particles. Further, the printed sensor array exhibits enhanced sensitivity to sub-ppm VOC levels, remarkable resistance to high relative humidity (RH) of 90%, and the differentiation ability for eight distinct VOCs. Finally, the wearable sensor proves practical by in situ monitoring of wheat scab-related VOC biomarkers. This study presents a versatile strategy for designing effective wearable gas sensors with widespread applications.
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Affiliation(s)
- Xiao Wang
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, 310058, P. R. China
| | - Hao Qi
- State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Yuzhou Shao
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, 310058, P. R. China
| | - Mingming Zhao
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, 310058, P. R. China
| | - Huayun Chen
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, 310058, P. R. China
| | - Yun Chen
- State Key Laboratory of Rice Biology, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Yibin Ying
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, 310058, P. R. China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 310058, P. R. China
| | - Yixian Wang
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, 310058, P. R. China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, 310058, P. R. China
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3
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Wu Y, Sexton WK, Zhang Q, Bloodgood D, Wu Y, Hooks C, Coker F, Vasquez A, Wei CI, Xiao S. Leaf abaxial immunity to powdery mildew in Arabidopsis is conferred by multiple defense mechanisms. J Exp Bot 2024; 75:1465-1478. [PMID: 37952108 DOI: 10.1093/jxb/erad450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023]
Abstract
Powdery mildew fungi are obligate biotrophic pathogens that only invade plant epidermal cells. There are two epidermal surfaces in every plant leaf: the adaxial (upper) side and the abaxial (lower) side. While both leaf surfaces can be susceptible to adapted powdery mildew fungi in many plant species, there have been observations of leaf abaxial immunity in some plant species including Arabidopsis. The genetic basis of such leaf abaxial immunity remains unknown. In this study, we tested a series of Arabidopsis mutants defective in one or more known defense pathways with the adapted powdery mildew isolate Golovinomyces cichoracearum UCSC1. We found that leaf abaxial immunity was significantly compromised in mutants impaired for both the EDS1/PAD4- and PEN2/PEN3-dependent defenses. Consistently, expression of EDS1-yellow fluorescent protein and PEN2-green fluorescent protein fusions from their respective native promoters in the respective eds1-2 and pen2-1 mutant backgrounds was higher in the abaxial epidermal cells than in the adaxial epidermal cells. Altogether, our results indicate that leaf abaxial immunity against powdery mildew in Arabidopsis is at least partially due to enhanced EDS1/PAD4- and PEN2/PEN3-dependent defenses. Such transcriptionally pre-programmed defense mechanisms may underlie leaf abaxial immunity in other plant species such as hemp and may be exploited for engineering adaxial immunity against powdery mildew fungi in crop plants.
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Affiliation(s)
- Ying Wu
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - W Kyle Sexton
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Qiong Zhang
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - David Bloodgood
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Yan Wu
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Caroline Hooks
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Frank Coker
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Andrea Vasquez
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
| | - Cheng-I Wei
- Department of Nutrition and Food Science, University of Maryland College Park, MD 20742, USA
| | - Shunyuan Xiao
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD 20850, USA
- Department of Plant Sciences and Landscape Architecture, University of Maryland College Park, MD 20742, USA
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4
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Yang Y, He T, Ravindran P, Wen F, Krishnamurthy P, Wang L, Zhang Z, Kumar PP, Chae E, Lee C. All-organic transparent plant e-skin for noninvasive phenotyping. Sci Adv 2024; 10:eadk7488. [PMID: 38363835 PMCID: PMC10871535 DOI: 10.1126/sciadv.adk7488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/16/2024] [Indexed: 02/18/2024]
Abstract
Real-time in situ monitoring of plant physiology is essential for establishing a phenotyping platform for precision agriculture. A key enabler for this monitoring is a device that can be noninvasively attached to plants and transduce their physiological status into digital data. Here, we report an all-organic transparent plant e-skin by micropatterning poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on polydimethylsiloxane (PDMS) substrate. This plant e-skin is optically and mechanically invisible to plants with no observable adverse effects to plant health. We demonstrate the capabilities of our plant e-skins as strain and temperature sensors, with the application to Brassica rapa leaves for collecting corresponding parameters under normal and abiotic stress conditions. Strains imposed on the leaf surface during growth as well as diurnal fluctuation of surface temperature were captured. We further present a digital-twin interface to visualize real-time plant surface environment, providing an intuitive and vivid platform for plant phenotyping.
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Affiliation(s)
- Yanqin Yang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
| | - Tianyiyi He
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
| | - Pratibha Ravindran
- Department of Biological Sciences and Research Center for Sustainable Urban Farming, National University of Singapore, Singapore 117558, Singapore
| | - Feng Wen
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
| | - Pannaga Krishnamurthy
- Department of Biological Sciences and Research Center for Sustainable Urban Farming, National University of Singapore, Singapore 117558, Singapore
| | - Luwei Wang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
| | - Zixuan Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
| | - Prakash P Kumar
- Department of Biological Sciences and Research Center for Sustainable Urban Farming, National University of Singapore, Singapore 117558, Singapore
| | - Eunyoung Chae
- Department of Biological Sciences and Research Center for Sustainable Urban Farming, National University of Singapore, Singapore 117558, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
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5
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Zhou S, Zhou J, Pan Y, Wu Q, Ping J. Wearable electrochemical sensors for plant small-molecule detection. Trends Plant Sci 2024; 29:219-231. [PMID: 38071111 DOI: 10.1016/j.tplants.2023.11.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 11/07/2023] [Accepted: 11/15/2023] [Indexed: 02/10/2024]
Abstract
Small molecules in plants - such as metabolites, phytohormones, reactive oxygen species (ROS), and inorganic ions - participate in the processes of plant growth and development, physiological metabolism, and stress response. Wearable electrochemical sensors, known for their fast response, high sensitivity, and minimal plant damage, serve as ideal tools for dynamically tracking these small molecules. Such sensors provide producers or agricultural researchers with noninvasive or minimally invasive means of obtaining plant signals. In this review we explore the applications of wearable electrochemical sensors in detecting plant small molecules, enabling scientific assessment of plant conditions, quantification of environmental stresses, and facilitation of plant health monitoring and disease prediction.
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Affiliation(s)
- Shenghan Zhou
- Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
| | - Jin Zhou
- Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
| | - Yuxiang Pan
- Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, PR China
| | - Qingyu Wu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.
| | - Jianfeng Ping
- Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China; Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, PR China; Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural, Anhui Agricultural University, Anhui, PR China.
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6
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Gong S, Lu Y, Yin J, Levin A, Cheng W. Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare. Chem Rev 2024; 124:455-553. [PMID: 38174868 DOI: 10.1021/acs.chemrev.3c00502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
In the era of Internet-of-things, many things can stay connected; however, biological systems, including those necessary for human health, remain unable to stay connected to the global Internet due to the lack of soft conformal biosensors. The fundamental challenge lies in the fact that electronics and biology are distinct and incompatible, as they are based on different materials via different functioning principles. In particular, the human body is soft and curvilinear, yet electronics are typically rigid and planar. Recent advances in materials and materials design have generated tremendous opportunities to design soft wearable bioelectronics, which may bridge the gap, enabling the ultimate dream of connected healthcare for anyone, anytime, and anywhere. We begin with a review of the historical development of healthcare, indicating the significant trend of connected healthcare. This is followed by the focal point of discussion about new materials and materials design, particularly low-dimensional nanomaterials. We summarize material types and their attributes for designing soft bioelectronic sensors; we also cover their synthesis and fabrication methods, including top-down, bottom-up, and their combined approaches. Next, we discuss the wearable energy challenges and progress made to date. In addition to front-end wearable devices, we also describe back-end machine learning algorithms, artificial intelligence, telecommunication, and software. Afterward, we describe the integration of soft wearable bioelectronic systems which have been applied in various testbeds in real-world settings, including laboratories that are preclinical and clinical environments. Finally, we narrate the remaining challenges and opportunities in conjunction with our perspectives.
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Affiliation(s)
- Shu Gong
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Yan Lu
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Jialiang Yin
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Arie Levin
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Wenlong Cheng
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
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7
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Li XH, Li MZ, Li JY, Gao YY, Liu CR, Hao GF. Wearable sensor supports in-situ and continuous monitoring of plant health in precision agriculture era. Plant Biotechnol J 2024. [PMID: 38184781 DOI: 10.1111/pbi.14283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/09/2023] [Accepted: 12/21/2023] [Indexed: 01/08/2024]
Abstract
Plant health is intricately linked to crop quality, food security and agricultural productivity. Obtaining accurate plant health information is of paramount importance in the realm of precision agriculture. Wearable sensors offer an exceptional avenue for investigating plant health status and fundamental plant science, as they enable real-time and continuous in-situ monitoring of physiological biomarkers. However, a comprehensive overview that integrates and critically assesses wearable plant sensors across various facets, including their fundamental elements, classification, design, sensing mechanism, fabrication, characterization and application, remains elusive. In this study, we provide a meticulous description and systematic synthesis of recent research progress in wearable sensor properties, technology and their application in monitoring plant health information. This work endeavours to serve as a guiding resource for the utilization of wearable plant sensors, empowering the advancement of plant health within the precision agriculture paradigm.
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Affiliation(s)
- Xiao-Hong Li
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang, China
| | - Meng-Zhao Li
- National Key Laboratory of Green Pesticide, College of Chemistry, Central China Normal University, Wuhan, China
| | - Jing-Yi Li
- National Key Laboratory of Green Pesticide, College of Chemistry, Central China Normal University, Wuhan, China
| | - Yang-Yang Gao
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang, China
| | - Chun-Rong Liu
- National Key Laboratory of Green Pesticide, College of Chemistry, Central China Normal University, Wuhan, China
| | - Ge-Fei Hao
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang, China
- National Key Laboratory of Green Pesticide, College of Chemistry, Central China Normal University, Wuhan, China
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8
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Lu X, Jayakumar K, Wen Y, Hojjati-Najafabadi A, Duan X, Xu J. Recent advances in metal-organic framework (MOF)-based agricultural sensors for metal ions: a review. Mikrochim Acta 2023; 191:58. [PMID: 38153564 DOI: 10.1007/s00604-023-06121-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/23/2023] [Indexed: 12/29/2023]
Abstract
Metal ions have great significance for agricultural development, food safety, and human health. In turn, there exists an imperative need for the development of novel, sensitive, and reliable sensing techniques for various metal ions. Agricultural sensors for the diagnosis of both agricultural safety and nutritional health can establish quality and safety traceability systems of both agro-products and food to guarantee human health, even life safety. Metal-organic frameworks (MOFs) are utilized widely for the design of diversified sensors due to their distinctive structural characteristics and extraordinary optical and electrical properties. To serve agricultural sensors better, this review is dedicated to providing a brief overview of the synthesis of MOFs, the modification of MOFs, the fabrication of MOF-based film electrodes, the applications of MOF-based agricultural sensors for metal ions, which are centered on electrochemical sensors and optical sensors, and current challenges of MOF-based agricultural sensors. In addition, this review also provides potential future opportunities for the development and practical application of agricultural sensors.
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Affiliation(s)
- Xinyu Lu
- Institute of Functional Materials and Agricultural Applied Chemistry, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Kumarasamy Jayakumar
- Institute of Functional Materials and Agricultural Applied Chemistry, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China
| | - Yangping Wen
- Institute of Functional Materials and Agricultural Applied Chemistry, Jiangxi Agricultural University, Nanchang, 330045, People's Republic of China.
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Jiangxi Agricultural University, Nanchang, 330045, PR China.
| | - Akbar Hojjati-Najafabadi
- School of Materials Science and Physics, China University of Mining and Technology, Xuzhou, 221116, PR China
| | - Xuemin Duan
- Jiangxi Provincial Key Laboratory of Drug Design and Evaluation, School of Pharmacy, Jiangxi Science & Technology Normal University, Nanchang, 330013, PR China
| | - Jingkun Xu
- Jiangxi Key Laboratory of Flexible Electronics, Jiangxi Science & Technology Normal University, Nanchang, 330013, PR China
- College of Chemistry and Molecular Engineering, Qingdao University of Science & Technology, Qingdao, 266042, PR China
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9
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Ye W, Zhao L, Luo X, Guo J, Liu X. Perceptual Soft End-Effectors for Future Unmanned Agriculture. Sensors (Basel) 2023; 23:7905. [PMID: 37765962 PMCID: PMC10537409 DOI: 10.3390/s23187905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/19/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023]
Abstract
As consumers demand ever-higher quality standards for agricultural products, the inspection of such goods has become an integral component of the agricultural production process. Unfortunately, traditional testing methods necessitate the deployment of numerous bulky machines and cannot accurately determine the quality of produce prior to harvest. In recent years, with the advancement of soft robot technology, stretchable electronic technology, and material science, integrating flexible plant wearable sensors on soft end-effectors has been considered an attractive solution to these problems. This paper critically reviews soft end-effectors, selecting the appropriate drive mode according to the challenges and application scenarios in agriculture: electrically driven, fluid power, and smart material actuators. In addition, a presentation of various sensors installed on soft end-effectors specifically designed for agricultural applications is provided. These sensors include strain, temperature, humidity, and chemical sensors. Lastly, an in-depth analysis is conducted on the significance of implementing soft end-effectors in agriculture as well as the potential opportunities and challenges that will arise in the future.
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Affiliation(s)
- Weikang Ye
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; (W.Y.)
| | - Lin Zhao
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; (W.Y.)
| | - Xuan Luo
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; (W.Y.)
| | - Junxian Guo
- College of Mechanical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
| | - Xiangjiang Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; (W.Y.)
- College of Mechanical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
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10
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Meléndez F, Sánchez R, Fernández JÁ, Belacortu Y, Bermúdez F, Arroyo P, Martín-Vertedor D, Lozano J. Design of a Multisensory Device for Tomato Volatile Compound Detection Based on a Mixed Metal Oxide-Electrochemical Sensor Array and Optical Reader. Micromachines (Basel) 2023; 14:1761. [PMID: 37763924 PMCID: PMC10537342 DOI: 10.3390/mi14091761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023]
Abstract
Insufficient control of tomato ripening before harvesting and infection by fungal pests produce large economic losses in world tomato production. Aroma is an indicative parameter of the state of maturity and quality of the tomato. This study aimed to design an electronic system (TOMATO-NOSE) consisting of an array of 12 electrochemical sensors, commercial metal oxide semiconductor sensors, an optical camera for a lateral flow reader, and a smartphone application for device control and data storage. The system was used with tomatoes in different states of ripeness and health, as well as tomatoes infected with Botrytis cinerea. The results obtained through principal component analysis of the olfactory pattern of tomatoes and the reader images show that TOMATO-NOSE is a good tool for the farmer to control tomato ripeness before harvesting and for the early detection of Botrytis cinerea.
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Affiliation(s)
- Félix Meléndez
- Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain; (F.M.); (J.Á.F.); (P.A.)
- Alianza Nanotecnología Diagnóstica ASJ S.L. (ANT), 28703 San Sebastián de los Reyes, Spain; (Y.B.); (F.B.)
| | - Ramiro Sánchez
- Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), 06006 Badajoz, Spain; (R.S.); (D.M.-V.)
| | - Juan Álvaro Fernández
- Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain; (F.M.); (J.Á.F.); (P.A.)
| | - Yaiza Belacortu
- Alianza Nanotecnología Diagnóstica ASJ S.L. (ANT), 28703 San Sebastián de los Reyes, Spain; (Y.B.); (F.B.)
| | - Francisco Bermúdez
- Alianza Nanotecnología Diagnóstica ASJ S.L. (ANT), 28703 San Sebastián de los Reyes, Spain; (Y.B.); (F.B.)
| | - Patricia Arroyo
- Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain; (F.M.); (J.Á.F.); (P.A.)
| | - Daniel Martín-Vertedor
- Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), 06006 Badajoz, Spain; (R.S.); (D.M.-V.)
| | - Jesús Lozano
- Industrial Engineering School, University of Extremadura, 06006 Badajoz, Spain; (F.M.); (J.Á.F.); (P.A.)
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11
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Hossain NI, Tabassum S. A hybrid multifunctional physicochemical sensor suite for continuous monitoring of crop health. Sci Rep 2023; 13:9848. [PMID: 37330620 PMCID: PMC10276867 DOI: 10.1038/s41598-023-37041-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 06/14/2023] [Indexed: 06/19/2023] Open
Abstract
This work reports a first-of-its-kind hybrid wearable physicochemical sensor suite that we call PlantFit for simultaneous measurement of two key phytohormones, salicylic acid, and ethylene, along with vapor pressure deficit and radial growth of stem in live plants. The sensors are developed using a low-cost and roll-to-roll screen printing technology. A single integrated flexible patch that contains temperature, humidity, salicylic acid, and ethylene sensors, is installed on the leaves of live plants. The strain sensor with in-built pressure correction capability is wrapped around the plant stem to provide pressure-compensated stem diameter measurements. The sensors provide real-time information on plant health under different amounts of water stress conditions. The sensor suite is installed on bell pepper plants for 40 days and measurements of salicylic acid, ethylene, temperature, humidity, and stem diameter are recorded daily. In addition, sensors are installed on different parts of the same plant to investigate the spatiotemporal dynamics of water transport and phytohormone responses. Subsequent correlation and principal component analyses demonstrate the strong association between hormone levels, vapor pressure deficit, and water transport in the plant. Our findings suggest that the mass deployment of PlantFit in agricultural settings will aid growers in detecting water stress/deficiency early and in implementing early intervention measures to reduce stress-induced yield decline.
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