Advances of nitrogen microwave plasma for optical emission spectrometry and applications in elemental analysis: a review

Müller, Alexandre Pastoris; Pozebon, Dirce; Dressler, Valderi L.

doi:10.1039/d0ja00272k

Cited by 23 publications

(21 citation statements)

References 101 publications

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“…Since the 1970s, ICP-OES applications have grown quickly and continuously, while MIP-OES faced some initial difficulties, which were mainly associated with performance limitations. 1,2 Such limitations were related to a non-toroidal plasma shape, which resulted in little interaction between plasma and sample aerosol, added to the fact that the rst MIPs operated at a relatively low power (typically <300 W), with plasma gases under reduced pressure, which resulted in an unstable plasma, low matrix tolerance and severe interfering effects. 1,3 Because the MIP instrumentation initially compared unfavorably to ICP, it was preferably used as an ionization source in gas chromatography, especially because the relatively small sample volumes analyzed would not cause plasma extinction.…”

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

“…1,4 However, there was still little interest from analysts and equipment producers in MIP-OES applications until the launch of the 4100 MP-AES instrument (Agilent Technologies) in 2012. 2,3,6 The new commercial system presented instrumental advances allowing for a torch-based setup, which generates and maintains a stable plasma that is operated at ambient pressure and at relatively high microwave-applied power (compared with previous instruments). Ten years aer the new instrumentation was launched into the market, MIP-OES has matured, with a signicant growth on the number of applications, as depicted in Fig.…”

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

“…† For more details on the evolution of MIP-OES, the reader is referred to two thorough review papers recently published. 2,3 Technical features Miscellaneous MIP-OES congurations have been developed over the years to improve the method's performance. Similar to ICP-OES, MIP-OES is composed of four main sections: (1) sample introduction system, (2) atomization/excitation/ ionization source, which is generated at a torch connected to the sample introduction system; (3) spectrometer, detector, and electronic system for signal conversion; and (4) soware for data acquisition and instrument control.…”

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

“…9,12 With these, a robust, aerosol-tolerant, analytically useful MIP became possible, allowing for physically larger plasmas that were operated at applied powers near 1 kW. 2,9,13 The plasma shape generated in both of these cavities is similar to the toroidal form of a traditional ICP, with high stability and robustness for applications involving a variety of sample types. 9, 13 Okamoto's cavity allows the formation of a toroidal-shaped high-power plasma (up to 1300 W), 11,12 while the Hammer's approach, which employs a resonant iris placed inside the MW cavity (Fig.…”

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

See 3 more Smart Citations

Is MIP-OES a suitable alternative to ICP-OES for trace element analysis?

Fontoura

Jofré

Williams

et al. 2022

J. Anal. At. Spectrom.

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Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

Section: Microwave-induced Plasma (Mip) and Inductively Coupled Plasm...mentioning

confidence: 99%

See 2 more Smart Citations

Is MIP-OES a suitable alternative to ICP-OES for trace element analysis?

Fontoura

Jofré

Williams

et al. 2022

J. Anal. At. Spectrom.

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“…Concurrently, the UAV was utilized to capture the corn plants' reflectance information from which the NDVI levels were generated. The NPKC macronutrient compositions in soil samples were analyzed and determined using the widely reliable and applied ICP-OES (Inductively Coupled Plasma -Optical Emission Spectrometry) method with the guidelines from the Syngistix ICP model (Perkins Elmer Optima 8000, Germany) [30][31][32].…”

Section: Soil Nutrient Analysismentioning

confidence: 99%

Determining Spatiotemporal Distribution of Macronutrients in a Cornfield Using Remote Sensing and a Deep Learning Model

et al. 2021

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Fertilizer misapplications have induced widespread environmental deteriorations, climatic catastrophes, and economic losses; meanwhile, the Precision Agriculture (PA) endorsements have been influential in alleviating these issues. This study intended to tackle the fertilizer consumption inefficiencies by utilizing non-destructive remote sensing technologies, soil macronutrient distribution analysis, and a deep learning model. Specifically, an Unmanned Air Vehicle (UAV) was used in a cornfield to capture the plant's reflectance information for retrieving the Normalized Difference Vegetation Index (NDVI) during the vegetative and reproductive growth stages. Consequently, the field's soil samples were examined for their Nitrogen, Phosphorus, Potassium, and Carbon (NPKC) macronutrient constituencies. Finally, a Convolutional Neural Network-Regression model was developed to predict infield NPKC spatiotemporal variations in soil using the NDVI measurements. The deep learning model effectively determined the surpluses or shortages of the NPKC macronutrients within the cornfield throughout the growth stages. The model performed vigorously with R 2 values of 0.93, 0.92, 0.98, and 0.83 in predicting N, P, K, and C levels in soil, respectively. INDEX TERMS Convolutional Neural Network-Regression, Macronutrients in soil, NDVI, UAV Mr. Mustafa Jaihuni received a BSc degree in Electrical & Electronics Engineering in 2009 from Boğaziçi University, Istanbul, Turkey, and an M.S. degree in 2020 in Biosystems Engineering from Gyeongsang National University (GNU), Gyeongsangnam-do, Republic of Korea. Currently, he is a research student at GNU in the Smart Farm Systems Lab, department of Biosystems Engineering. He has published 2 articles in different Journals related to Agriculture, Renewable Energy and Smart Farming applications. Mr. Jaihuni's research interests are Remote Sensing, Deep Learning, ICT applications in Agriculture and Wind-Solar Renewable Energy Systems. Mr. Fawad Khan was born in Peshawar, Pakistan, in 1991. He received a BS (Hons) degree in Environmental Sciences and a Master's degree in Biosystems Engineering from the University of Peshawar (Pakistan) and Gyeongsang National University (Republic of Korea), respectively. He published seventeen articles in different Journals related to Agriculture and Horticulture, Energy, and Bio-systems engineering. Mr. Khan's research interests nutrients management, crop yield, and greenhouse gases

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Microwave Plasma Systems in Optical and Mass Spectrometry

Jankowski

Reszke²

2023

Encyclopedia of Analytical Chemistry

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Over the last decade, a revolutionary progress in both the instrumentation and the application of microwave plasma (MWP) systems for optical and mass spectrometry is observed. In this article, the current status of these systems is comprehensively reviewed and updated to 2022 to provide the reader with an advanced understanding of the theory, practices, and instrumentation associated with MWP‐based spectrometric techniques. Diverse MWP devices that can serve as atomizers, and radiation or ionization sources for various spectrometric techniques are all discussed and classified according to their fundamental microwave features and power coupling mode. Two basic MWP types constitute electrode‐operating capacitively coupled microwave plasmas (CMPs) and electrodeless microwave‐induced plasmas (MIPs). The recent development of the brand new devices such as microwave inductively coupled plasmas, rotating field MWPs, and microwave micro‐discharges is also discussed. In addition, so‐called tandem plasma sources that are a combination of MWP with another type of plasma are briefly commented on. An introduction to the various sampling techniques that can cope with MWPs such as hydride generation (HG), chemical vapor generation (CVG) and photochemical vapor generation (PCVG) for gaseous samples, solution nebulization for liquids, and dry aerosol generation techniques [electrothermal vaporization (ETV), spark (SA), laser ablation (LA), direct vaporization and ionization (DI), and continuous powder introduction (CPI)] for solids are presented highlighting their relative merits and demerits. Also, recent advances in sampling of nanoparticles for time‐resolved measurements and single particle analysis are mentioned. Further, a broad range of MWP‐based optical and mass spectrometric techniques is covered. Optical emission spectrometric (OES) methods based on MWPs are reviewed because a considerable amount of research is presently being performed in this field. Even when much less reported in the literature, several nonemission spectrometric techniques are also discussed. The mass spectrometry (MS) techniques including both the elemental mass spectrometry with hot MWPs and a variety of molecular MS techniques utilizing either hot or cold MWPs are discussed. Advances in sample introduction strategies, instrument optimization, calibration methods, and applications of MWP analytical spectrometry are discussed in the following sections. Due to the diversity of MWP instrumentation and related spectrometric techniques, it is impracticable to treat equally all of these issues in this survey. For this reason, the discussion of analytical performance and practical use is focused on key MWP‐based spectrometric techniques that have been employed, alone or hyphenated, using commercial instrumentation. The review of routine determination of metals and metalloids in different categories of samples is focused to cover the application of nitrogen MWP Optical Emission Spectrometer. Extended capabilities by hyphenating microwave plasma optical emission spectrometry (MWPOES) and microwave plasma mass spectrometry (MWPMS) to various well‐known separation techniques such as gas or liquid chromatography, and also size‐exclusion chromatography are discussed in brief. The application of advanced spectroscopic techniques in a wide range of environments focusing mainly, but not exclusively, on industrial and bioanalytical applications, its advantages, and limitations over other multielement instrumental techniques are discussed. Some of the areas where more developments can be expected in the future are suggested.

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Advances of nitrogen microwave plasma for optical emission spectrometry and applications in elemental analysis: a review

Abstract: The present review deals with microwave-induced plasma optical emission spectrometry (MIP OES) with focus on MIP sustained by nitrogen. Advances of MIP OES as an analytical tool and nitrogen-MIP OES...

Cited by 23 publications

References 101 publications

Is MIP-OES a suitable alternative to ICP-OES for trace element analysis?

Is MIP-OES a suitable alternative to ICP-OES for trace element analysis?

Determining Spatiotemporal Distribution of Macronutrients in a Cornfield Using Remote Sensing and a Deep Learning Model

Microwave Plasma Systems in Optical and Mass Spectrometry

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