Abstract
Photocatalysis for small-molecule activation has advanced considerably over the past decade, yet its scale-up remains challenging in part due to photon attenuation effects. One promising solution lies in combining high photonic intensities with continuous-flow reactor technology, requiring careful understanding of photon transport for successful implementation. Here, to address this, we introduce a characterization approach, starting with radiometric light source analysis, followed by three-dimensional reactor and light source simulation. This strategy, when followed up with chemical actinometry experiments, decouples photon flux quantification and path length determination, substantially curtailing the experimental process. The workflow proves versatile across various reactor systems, simplifying intricate light interactions into a single one-dimensional parameter—the effective optical path length. This parameter effectively characterizes photoreactor setups, irrespective of scale, geometry, light intensity or concentration. Additionally, the proposed workflow provides insight into light source positioning and reactor design, and facilitates experiments at lower concentrations, ensuring representative reactor operation. In essence, our approach provides a thorough, efficient and consistent framework for reactor irradiation characterization.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
The authors declare that all data obtained and used in this work are available within the article and its Supplementary Information. Source data are provided with this paper.
References
Marzo, L., Pagire, S. K., Reiser, O. & König, B. Visible‐light photocatalysis: does it make a difference in organic synthesis? Angew. Chem. Int. Ed. 57, 10034–10072 (2018).
Ravelli, D., Dondi, D., Fagnoni, M. & Albini, A. Photocatalysis. A multi-faceted concept for green chemistry. Chem. Soc. Rev. 38, 1999–2011 (2009).
Liu, J., Lu, L., Wood, D. & Lin, S. New redox strategies in organic synthesis by means of electrochemistry and photochemistry. ACS Cent. Sci. 6, 1317–1340 (2020).
Crisenza, G. E. M. & Melchiorre, P. Chemistry glows green with photoredox catalysis. Nat. Commun. 11, 803 (2020).
Candish, L. et al. Photocatalysis in the life science industry. Chem. Rev. 122, 2907–2980 (2022).
Donnelly, K. & Baumann, M. Scalability of photochemical reactions in continuous flow mode. J. Flow Chem. 11, 223–241 (2021).
Buglioni, L., Raymenants, F., Slattery, A., Zondag, S. D. A. & Noël, T. Technological innovations in photochemistry for organic synthesis: flow chemistry, high-throughput experimentation, scale-up, and photoelectrochemistry. Chem. Rev. 122, 2752–2906 (2022).
Zondag, S. D. A., Mazzarella, D. & Noël, T. Scale-up of photochemical reactions: transitioning from lab scale to industrial production. Annu. Rev. Chem. Biomol. Eng. 14, 283–300 (2023).
Corcoran, E. B., McMullen, J. P., Lévesque, F., Wismer, M. K. & Naber, J. R. Photon equivalents as a parameter for scaling photoredox reactions in flow: translation of photocatalytic C–N cross-coupling from lab scale to multikilogram scale. Angew. Chem. Int. Ed. 59, 11964–11968 (2020).
Su, Y., Straathof, N. J. W., Hessel, V. & Noël, T. Photochemical transformations accelerated in continuous-flow reactors: basic concepts and applications. Chemistry 20, 10562–10589 (2014).
Wong, K.-L., Bünzli, J.-C. G. & Tanner, P. A. Quantum yield and brightness. J. Lumin. 224, 117256 (2020).
Hatchard, C. G. & Parker, C. A. A new sensitive chemical actinometer—II. Potassium ferrioxalate as a standard chemical actinometer. Proc. R. Soc. Lond. Ser. A 235, 518–536 (1956).
Wriedt, B. & Ziegenbalg, D. Common pitfalls in chemical actinometry. J. Flow Chem. 10, 295–306 (2020).
Radjagobalou, R. et al. A revised 1D equivalent model for the determination of incident photon flux density in a continuous-flow LED-driven spiral-shaped microreactor using the actinometry method with Reinecke’s salt. J. Flow Chem. 11, 357–367 (2021).
Noël, T. Photochemical Processes in Continuous-Flow Reactors (World Scientific, 2017).
Roibu, A. et al. An accessible visible-light actinometer for the determination of photon flux and optical pathlength in flow photo microreactors. Sci. Rep. 8, 5421 (2018).
Megerle, U., Lechner, R., König, B. & Riedle, E. Laboratory apparatus for the accurate, facile and rapid determination of visible light photoreaction quantum yields. Photochem. Photobiol. Sci. 9, 1400–1406 (2010).
Cismesia, M. A. & Yoon, T. P. Characterizing chain processes in visible light photoredox catalysis. Chem. Sci. 6, 5426–5434 (2015).
Scaiano, J. C. A beginners guide to understanding the mechanisms of photochemical reactions: things you should know if light is one of your reagents. Chem. Soc. Rev. 52, 6330–6343 (2023).
Swierk, J. R. The cost of quantum yield. Org. Process Res. Dev. 27, 1411–1419 (2023).
Braslavsky, S. E. et al. Glossary of terms used in photocatalysis and radiation catalysis (IUPAC recommendations 2011). Pure Appl. Chem. 83, 931–1014 (2011).
Noël, T. & Zysman-Colman, E. The promise and pitfalls of photocatalysis for organic synthesis. Chem Catal. 2, 468–476 (2022).
Maafi, M. & Brown, R. G. The kinetic model for AB(1ϕ) systems. J. Photochem. Photobiol. A 187, 319–324 (2007).
Wriedt, B. & Ziegenbalg, D. Application limits of the ferrioxalate actinometer. ChemPhotoChem 5, 947–956 (2021).
Sambiagio, C. & Noël, T. Flow photochemistry: shine some light on those tubes! Trends Chem. 2, 92–106 (2020).
Williams, J. D. & Kappe, C. O. Recent advances toward sustainable flow photochemistry. Curr. Opin. Green Sustain. Chem. 25, 100351 (2020).
Loubière, K., Oelgemöller, M., Aillet, T., Dechy-Cabaret, O. & Prat, L. Continuous-flow photochemistry: a need for chemical engineering. Chem. Eng. Process. Process Intensif. 104, 120–132 (2016).
De Risi, C. et al. Recent advances in continuous-flow organocatalysis for process intensification. React. Chem. Eng. 5, 1017–1052 (2020).
Russo, D. et al. Direct photolysis of benzoylecgonine under UV irradiation at 254nm in a continuous flow microcapillary array photoreactor. Chem. Eng. J. 283, 243–250 (2016).
Lee, D. S. et al. Scalable continuous vortex reactor for gram to kilo scale for UV and visible photochemistry. Org. Process Res. Dev. 24, 201–206 (2020).
Chaudhuri, A. et al. Process intensification of a photochemical oxidation reaction using a rotor–stator spinning disk reactor: a strategy for scale up. Chem. Eng. J. 400, 125875 (2020).
Wen, Z. et al. Optimization of a decatungstate-catalyzed C(sp3)–H alkylation using a continuous oscillatory millistructured photoreactor. Org. Process Res. Dev. 24, 2356–2361 (2020).
Wan, T. et al. Accelerated and scalable C(sp3)–H amination via decatungstate photocatalysis using a flow photoreactor equipped with high-intensity LEDs. ACS Cent. Sci. 8, 51–56 (2022).
Wriedt, B., Kowalczyk, D. & Ziegenbalg, D. Experimental determination of photon fluxes in multilayer capillary photoreactors. ChemPhotoChem 2, 913–921 (2018).
Vandekerckhove, B., Piens, N., Metten, B., Stevens, C. V. & Heugebaert, T. S. A. Practical ferrioxalate actinometry for the determination of photon fluxes in production-oriented photoflow reactors. Org. Process Res. Dev. 26, 2392–2402 (2022).
Sender, M., Wriedt, B. & Ziegenbalg, D. Radiometric measurement techniques for in-depth characterization of photoreactors—part 1: 2 dimensional radiometry. React. Chem. Eng. 6, 1601–1613 (2021).
Roibu, A., Mc Carogher, K., Morthala, R. B., Eyckens, R. & Kuhn, S. Modelling approaches to predict light absorption in gas-liquid flow photosensitized oxidations. Chem. Eng. J. 452, 139272 (2023).
Cornet, J.-F. et al. A simple and reliable method to determine mean incident light flux densities on cylindrical photoreactors and photobioreactors from a unique fluence rate measurement. Ind. Eng. Chem. Res. 62, 4875–4884 (2023).
Yaghmaei, M. & Scaiano, J. C. A simple Norrish type II actinometer for flow photoreactions. Photochem. Photobiol. Sci. 1, 1865–1874 (2023).
Aillet, T., Loubiere, K., Dechy-Cabaret, O. & Prat, L. Accurate measurement of the photon flux received inside two continuous flow microphotoreactors by actinometry. Int. J. Chem. React. Eng. 12, 257–269 (2014).
Cambié, D., Zhao, F., Hessel, V., Debije, M. G. & Noël, T. Every photon counts: understanding and optimizing photon paths in luminescent solar concentrator-based photomicroreactors (LSC-PMs). React. Chem. Eng. 2, 561–566 (2017).
Kant, P. et al. Isophotonic reactor for the precise determination of quantum yields in gas, liquid, and multi-phase photoreactions. Chem. Eng. J. 452, 139204 (2023).
de Oliveira, G. X., Kuhn, S., Riella, H. G., Soares, C. & Padoin, N. Combining computational fluid dynamics, photon fate simulation and machine learning to optimize continuous-flow photocatalytic systems. React. Chem. Eng. 8, 2119–2133 (2023).
Shin, N. Y., Ryss, J. M., Zhang, X., Miller, S. J. & Knowles, R. R. Light-driven deracemization enabled by excited-state electron transfer. Science. 366, 364–369 (2019).
Hu, H. et al. Metal–organic frameworks embedded in a liposome facilitate overall photocatalytic water splitting. Nat. Chem. 13, 358–366 (2021).
Rabani, J., Mamane, H., Pousty, D. & Bolton, J. R. Practical chemical actinometry—a review. Photochem. Photobiol. 97, 873–902 (2021).
Plutschack, M. B., Pieber, B., Gilmore, K. & Seeberger, P. H. The Hitchhiker’s guide to flow chemistry. Chem. Rev. 117, 11796–11893 (2017).
Neyt, N. C. & Riley, D. L. Application of reactor engineering concepts in continuous flow chemistry: a review. React. Chem. Eng. 6, 1295–1326 (2021).
Chaudhuri, A. et al. Kinetics and intensification of tertiary amine N-oxidation: towards a solventless, continuous and sustainable process. Chem. Eng. J. 416, 128962 (2021).
Chaudhuri, A., Zondag, S. D. A., Schuurmans, J. H. A., van der Schaaf, J. & Noël, T. Scale-up of a heterogeneous photocatalytic degradation using a photochemical rotor–stator spinning disk reactor. Org. Process Res. Dev. 26, 1279–1288 (2022).
de Beer, M. M. M., Keurentjes, J. T. F. T. F., Schouten, J. C. C. & van der Schaaf, J. Engineering model for single-phase flow in a multi-stage rotor–stator spinning disc reactor. Chem. Eng. J. 242, 53–61 (2014).
de Beer, M. M., Pezzi Martins Loane, L., Keurentjes, J. T. F., Schouten, J. C. & van der Schaaf, J. Single phase fluid-stator heat transfer in a rotor–stator spinning disc reactor. Chem. Eng. Sci. 119, 88–98 (2014).
Rochatte, V. et al. Radiative transfer approach using Monte Carlo method for actinometry in complex geometry and its application to Reinecke salt photodissociation within innovative pilot-scale photo(bio)reactors. Chem. Eng. J. 308, 940–953 (2017).
Kowalczyk, D., Knorr, G., Peneva, K. & Ziegenbalg, D. Making photocatalysts screenable—a milliscale multi-batch screening photoreactor as extension for the modular photoreactor. React. Chem. Eng. 8, 2967–2983 (2023).
Kuhn, H. J., Braslavsky, S. E. & Schmidt, R. Chemical actinometry (IUPAC Technical Report). Pure Appl. Chem. 76, 2105–2146 (2004).
Acknowledgements
We express our gratitude to the molecular photonics group (Van ‘t Hoff Institute for Molecular Sciences, University of Amsterdam) for using the darkroom and to M. G. Debije (Eindhoven University of Technology) for his assistance with the radiometric measurements. S.D.A.Z., J.H.A.S. and T.N. thank the European Union’s Horizon research and innovation program FlowPhotoChem (S.D.A.Z. and T.N.), grant number 862453 and CATART (J.H.A.S. and T.N.), grant agreement number 101046836. A.C. thanks Janssen Pharmaceutica NV for research funding. C.S. and N.P. thank the Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil, grant number 88887.310560/2018-00) and the National Council for Scientific and Technological Development (CNPq, Brazil, grant numbers 313202/2021-4 and 312247/2022-2) for funding. The materials presented and views expressed here are the responsibility of the author(s) only. The EU Commission takes no responsibility for any use made of the information set out.
Author information
Authors and Affiliations
Contributions
S.D.A.Z., J.H.A.S. and A.C. designed the project. S.D.A.Z., J.H.A.S., A.C. and R.P.L.V. performed and analyzed the experiments. S.D.A.Z. performed the ray-tracing simulations, with supervision and input from C.S. and N.P. Additionally, C.S., N.P., K.P.L.K. and M.D. provided input and participated in discussions throughout the course of the project. J.v.d.S. and T.N. directed the project. S.D.A.Z., J.H.A.S. and T.N. wrote the paper with input and feedback from all authors.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Chemical Engineering thanks the anonymous reviewers for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Visualization of the light intensity according to the Bouguer-Lambert-Beer law.
a) Visualization of a photon-efficient system with negligible transmittance. b) Visualization of a non-photon-efficient system with substantial transmittance.
Extended Data Fig. 2 Detailed visualization of the workflow for the batch configuration.
An overview of how the workflow is used to validate the simulated photon flux for the photon-efficient batch configuration. Details on the light source properties and light source model can be found in Section 2 of the Supplementary Information.
Extended Data Fig. 3 Detailed visualization of the workflow for the microcapillary configuration.
An overview of how the workflow is used to determine the effective optical path length through photon flux simulation and chemical actinometry for the microcapillary configuration. Details on the light source properties and light source model can be found in Section 2 of the Supplementary Information.
Extended Data Fig. 4 Detailed visualization of the workflow for the pRS-SDR configuration.
An overview of how the workflow is used to determine the effective optical path length through photon flux simulation and chemical actinometry for the pRS-SDR configuration. Details on the light source properties and light source model can be found in Section 2 of the Supplementary Information.
Supplementary information
Supplementary Information
Supplementary Figs. 1–12, Table 1 and Sections 1–13.
Supplementary Data 1
Statistical source data for Supplementary Figs. 4, 5 and 7–10.
Source data
Source Data Fig. 2
Statistical source data.
Source Data Fig. 3
Statistical source data.
Source Data Fig. 4
Statistical source data.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zondag, S.D.A., Schuurmans, J.H.A., Chaudhuri, A. et al. Determining photon flux and effective optical path length in intensified flow photoreactors. Nat Chem Eng 1, 462–471 (2024). https://doi.org/10.1038/s44286-024-00089-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s44286-024-00089-3