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Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter Concentration. MICROMACHINES 2021; 12:mi12040416. [PMID: 33918877 PMCID: PMC8070545 DOI: 10.3390/mi12040416] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 01/22/2023]
Abstract
Due to the adverse effects on human health and the environment, air quality monitoring, specifically particulate matter (PM), has received increased attention over the last decades. Most of the research and policy actions have been focused on decreasing PM pollution and the development of air monitoring technologies, resulting in a decline of total ambient PM concentrations. For these reasons, there is a continually increasing interest in mobile, low-cost, and real-time PM detection instruments in both indoor and outdoor environments. However, to the best of the authors’ knowledge, there is no recent literature review on the development of newly designed mobile and compact optical PM sensors. With this aim, this paper gives an overview of the most recent advances in mobile optical particle counters (OPCs) and camera-based optical devices to detect particulate matter concentration. Firstly, the paper summarizes the particulate matter effects on human health and the environment and introduces the major particulate matter classes, sources, and characteristics. Then, it illustrates the different theories, detection methods, and operating principles of the newly developed portable optical sensors based on light scattering (OPCs) and image processing (camera-based sensors), including their advantages and disadvantages. A discussion concludes the review by comparing different novel optical devices in terms of structures, parameters, and detection sensitivity.
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Rizzato S, Leo A, Monteduro AG, Chiriacò MS, Primiceri E, Sirsi F, Milone A, Maruccio G. Advances in the Development of Innovative Sensor Platforms for Field Analysis. MICROMACHINES 2020; 11:E491. [PMID: 32403362 PMCID: PMC7281440 DOI: 10.3390/mi11050491] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 05/04/2020] [Accepted: 05/07/2020] [Indexed: 12/28/2022]
Abstract
Sustainable growth, environmental preservation, and improvement of life quality are strategic fields of worldwide interest and cornerstones of international policies. Humanity health and prosperity are closely related to our present choices on sustainable development. The main sources of pollution concern industry, including mining, chemical companies, and refineries, wastewater treatment; and consumers themselves. In order to guide and evaluate the effects of environmental policies, diffuse monitoring campaigns and detailed (big) data analyses are needed. In this respect, the development and availability of innovative sensor platforms for field analysis and remote sensing are of crucial relevance. In this review, we provide an overview of the area, analyzing the major needs, available technologies, novel approaches, and perspectives. Among environmental pollutants that threaten the biosphere, we focus on inorganic and organic contaminants, which affect air and water quality. We describe the technologies for their assessment in the environment and then draw some conclusions and mention future perspectives opened by the integration of sensing technologies with robotics and the Internet of Things. Without the ambition to be exhaustive in such a rapidly growing field, this review is intended as a support for researchers and stakeholders looking for current, state-of-the-art, and key enabling technologies for environmental monitoring.
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Affiliation(s)
- Silvia Rizzato
- Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (A.G.M.); (F.S.); (A.M.); (G.M.)
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Angelo Leo
- Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (A.G.M.); (F.S.); (A.M.); (G.M.)
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Anna Grazia Monteduro
- Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (A.G.M.); (F.S.); (A.M.); (G.M.)
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Maria Serena Chiriacò
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Elisabetta Primiceri
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Fausto Sirsi
- Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (A.G.M.); (F.S.); (A.M.); (G.M.)
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Angelo Milone
- Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (A.G.M.); (F.S.); (A.M.); (G.M.)
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
| | - Giuseppe Maruccio
- Department of Mathematics and Physics “Ennio De Giorgi”, University of Salento, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (A.G.M.); (F.S.); (A.M.); (G.M.)
- Institute of Nanotechnology, CNR-Nanotec, Omnics Research Group, Via per Monteroni, 73100 Lecce, Italy; (M.S.C.); (E.P.)
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Poenar DP. Microfluidic and Micromachined/MEMS Devices for Separation, Discrimination and Detection of Airborne Particles for Pollution Monitoring. MICROMACHINES 2019; 10:mi10070483. [PMID: 31323826 PMCID: PMC6681025 DOI: 10.3390/mi10070483] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 07/01/2019] [Accepted: 07/06/2019] [Indexed: 01/09/2023]
Abstract
Most of the microfluidics-related literature describes devices handling liquids, with only a small part dealing with gas-based applications, and a much smaller number of papers are devoted to the separation and/or detection of airborne inorganic particles. This review is dedicated to this rather less known field which has become increasingly important in the last years due to the growing attention devoted to pollution monitoring and air quality assessment. After a brief introduction summarizing the main particulate matter (PM) classes and the need for their study, the paper reviews miniaturized devices and/or systems for separation, detection and quantitative assessment of PM concentration in air with portable and easy-to-use platforms. The PM separation methods are described first, followed by the key detection methods, namely optical (scattering) and electrical. The most important miniaturized reported realizations are analyzed, with special attention given to microfluidic and micromachined or micro-electro-mechanical systems (MEMS) chip-based implementations due to their inherent capability of being integrated in lab-on-chip (LOC) type of smart microsystems with increased functionalities that can be portable and are easy to use. The operating principles and (when available) key performance parameters of such devices are presented and compared, also highlighting their advantages and disadvantages. Finally, the most relevant conclusions are discussed in the last section.
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Affiliation(s)
- Daniel Puiu Poenar
- VALENS Centre for Bio Devices and Signal Analysis, School of Electrical & Electronic Engineering (EEE), Nanyang Technological University (NTU), 50 Nanyang Avenue, Singapore 639978, Singapore.
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