Evidence map›Paper›PMID 42656814›Full record

ArticleOrganic process research & development2026

Spectroscopic Monitoring and Chemometric-Based Feedback Control of the Diazotization Reaction.

Máté Fent, Attila Farkas, Hajnalka Pataki, Zsombor K Nagy, István Csontos

Abstract read
In one paragraph

Article in Organic process research & development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Máté FentDepartment of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary.ORCID https://orcid.org/0009-0003-9406-0097
Attila FarkasDepartment of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary.ORCID https://orcid.org/0000-0002-8877-2587
Hajnalka PatakiDepartment of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary.
Zsombor K NagyDepartment of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary.ORCID https://orcid.org/0000-0003-2651-7756
István CsontosDepartment of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3, H-1111 Budapest, Hungary.ORCID https://orcid.org/0000-0002-6858-1388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inline Raman spectroscopy-based monitoring enables the development of control systems that allow the implementation of Process Analytical Technology (PAT) principles even in chemical reactions, thereby improving quality, efficiency, and safety. There are only a few articles in the literature that discuss such control systems. This may be due to the numerous challenges involved, including the need for robust measurement setups and the development of chemometric algorithms capable of delivering accurate and stable real-time evaluations. Thus, this study presents the Raman spectroscopic monitoring and chemometric-based feedback control of a highly exothermic and potentially hazardous diazotization reaction, namely, the synthesis of phenyldiazonium chloride from aniline, hydrochloric acid, and sodium nitrite. Raman spectra were analyzed offline using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) and in real-time using Classical Least Squares (CLS) chemometric methods to monitor and control key reaction components. The developed feedback system successfully controlled concentration levels during both acid-base and diazotization phases. The reduction of the Raman signal-to-noise ratio, induced by the decomposition of the diazonium salt, was also observed. This factor significantly affected the monitoring of the diazotization experiment. Furthermore, a calibration was established to quantify the molar concentrations of key components based on Raman spectra. The calibration experiment successfully demonstrated well-fitted linear molar-spectral relationships for both aniline (

Indexed as

DiazotizationInline Process MonitoringMultivariate AnalysisProcess Analytical TechnologyRaman MonitoringReaction Feedback Control

Identifiers

PMID42656814
PMCPMC13508131

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.