Automatic Optical Measurement and Control of Benzene and Benzenoids in Natural Gas Pipelines.

benzene benzenoids natural gas measurement pipeline monitoring

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Nov 2021
Historique:
received: 11 10 2021
revised: 05 11 2021
accepted: 13 11 2021
entrez: 27 11 2021
pubmed: 28 11 2021
medline: 1 12 2021
Statut: epublish

Résumé

The presence of benzene and similar aromatic compounds in civil environments is due to anthropic actions but also to natural sources. Natural gas consists of a gas mixture where benzene and related compounds are usually presents. Thus, the detection of these compounds in natural gas pipelines is of the utmost importance as well as the control of the concentration level, which must remain below the limits consented by law. In this regard, it is of striking interest to engineer devices able to detect these compounds by automatic and continuous remote control. Here, we discuss the application of an optical device designed for the measurement of sulfured odorizing agents in natural gas pipelines aiming at the detection and the measurement of benzene, toluene, and xylenes (BTX) in the same contexts. The instrument consists of a customized UV spectrophotometer connected to an automatic control system able to provide in-field detections of BTX through a continuous and remote check of the gaseous mixture. Relatively to benzene, the instrument is characterized by values of LOD (level of detection) and LOQ (level of quantification) equal to 0.55 and 1.84 mg/Sm3, respectively. Similar limits are found for toluene and xylenes (LOD of 0.81, 1.05, 1.41, and 1.00 mg/Sm3 for toluene, meta-, ortho-, and para-xylene, respectively).

Identifiants

pubmed: 34833651
pii: s21227575
doi: 10.3390/s21227575
pmc: PMC8617948
pii:
doi:

Substances chimiques

Benzene Derivatives 0
Natural Gas 0
Xylenes 0
Toluene 3FPU23BG52
Benzene J64922108F

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

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Auteurs

Rossana Galassi (R)

School of Science and Technology, Chemistry Division, University of Camerino, 62032 Camerino, Italy.

Christian Contini (C)

Automa Srl, 60131 Ancona, Italy.

Matteo Pucci (M)

Automa Srl, 60131 Ancona, Italy.

Ennio Gambi (E)

Department of Information Engineering, Polytechnic University of Marche, 60131 Ancona, Italy.

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Classifications MeSH