The DOI matches its Crossref record; 217 of the 217 references it cites were found in a registry or an index.
Review of Gravimetric Sensing of Volatile Organic Compounds
Abstract
Volatile organic compounds (VOCs) are pervasive in the environment. Since the early 1980s, substantial work has examined the detection of these materials, as they can indicate environmental changes that can affect human health. VOCs and similar compounds present a very specific sensing problem in that they are not reactive and often nonpolar, so it is difficult to find materials that selectively bind or adsorb them. A number of techniques are applied to vapor sensing. High resolution molecular separation approaches such as gas chromatography and mass spectrometry are well-characterized and offer high sensitivity, but are difficult to implement in portable, real-time monitors, whereas approaches such as chemiresistors are promising, but still in development. Gravimetric approaches, in which the mass of an adsorbed vapor is directly measured, have several potential advantages over other techniques but have so far lagged behind other approaches in performance and market penetration. This review aims to offer a comprehensive background on gravimetric sensing including underlying resonators and sensitizers, as well as a picture of applications and commercialization in the field.
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In the citing paper
“When an electrical signal is applied to the piezoelectric substrate, it generates an acoustic wave that propagates through the substrate and the sensing film.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“The sensing film is designed to selectively interact with specific gas molecules, causing a mass-loading effect that alters the resonant frequency of the device.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“As VOCs interact with the sensing film, they are adsorbed onto the surface, causing a change in the mass of the film, and altering the resonant frequency of the device, referred as to the gravimetric sensing mechanism.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“By preferentially adsorbing the target gas molecules onto their surface, these films amplify the sensor's sensitivity, allowing for the detection of even trace amounts of the gas.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“They are engineered to minimize or suppress the adsorption of interfering gases, thereby reducing their impact on the sensor's accuracy and specificity.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“Their engineered composition ensures long-term stability and reversibility, enabling consistent and reliable performance of the gas sensor over-time.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“Through tailoring their composition, gas selective adsorption films exhibit a strong affinity for the specific gas species of interest, ensuring that only the desired gas molecules are adsorbed.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“However, they may require periodic calibration or replacement of sensing materials, and their selectivity may be limited for individual sensors.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“While electrical methods may have slightly lower sensitivity compared to optical methods, they can compensate with the use of sensor arrays and pattern recognition techniques to enhance selectivity.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“On the other hand, electrical methods exhibit good sensitivity in the parts per million (ppm) range and offer flexibility in sensor design (McGinn et al. 2020).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“Electrical methods generally have faster response times and can be more resilient to environmental interferences.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
In the citing paper
“They can be integrated into compact and portable devices, allowing for personal monitoring or handheld applications.”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as McGinn et al. 2020
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Metadata
- Authors
- McGinn, C. K., Lamport, Z. A., & Kymissis, I.
- Affiliations
- Columbia University (US)
- Corresponding author
- McGinn, Christine K.
- Venue
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-05-15
- Volume
- 5
- Issue
- 6
- Pages
- 1514-1534
- ISSN
- 2379-3694 (ISSN-L)
- OpenAlex
- W3025930137
- Cited by
- 152
- References
- 217
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 35 · 2023: 22 · 2022: 30 · 2021: 19 · 2020: 2
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- ACS Sensors (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Division of Graduate Education (DGE-1644869)
- National Science Foundation (EFMA-1641100)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Gas Sensing Nanomaterials and Sensors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Acoustic Wave Resonator Technologies
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Keywords
- gravimetric sensing, volatile organic compounds, vapor sensing, resonators, sensitizers, chemiresistors, gas chromatography, mass spectrometry, environmental monitoring, commercialization
- MeSH terms
- Gases, Humans, Volatile Organic Compounds
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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