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Abstract

Isotope-Selective Gas Sensing Using Photoacoustic Non-Dispersive Spectroscopy †

by
Gabriel Rodriguez Gutierrez
1,
Loay Marouani
1,
Alvaro Ortiz Perez
1,
Peter Kreuzaler
2 and
Stefan Palzer
1,*
1
Department of Electrical Engineering and Information Technology, TU Dortmund, 44227 Dortmund, Germany
2
University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute for Metabolomics in Ageing, Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), 50931 Cologne, Germany
*
Author to whom correspondence should be addressed.
Presented at the XXXV EUROSENSORS Conference, Lecce, Italy, 10–13 September 2023.
Proceedings 2024, 97(1), 207; https://doi.org/10.3390/proceedings2024097207
Published: 24 April 2024
(This article belongs to the Proceedings of XXXV EUROSENSORS Conference)

Abstract

:
The flow of carbons into the citric acid cycle can be readily traced by supplementation with 13C stable isotope labelled nutrients. However, the quantification of the amount of fully oxidised nutrients to carbon dioxide is a challenging task. This contribution presents an isotope-selective, miniaturized gas detection scheme based on indirect photoacoustic spectroscopy. The results show that low-cost, continuous, in situ monitoring of the isotope ratio in gaseous samples is feasible.

1. Introduction

The oxidation of high-energy carbohydrates is the dominant energy source of the vast majority of heterotrophic organisms, including all animals. The main compound classes donating their reduced carbon bonds are lipids, sugars, amino acids and, to a lesser extend, nucleotides, all of which converge at the so-called citric acid cycle (TCA, also known as the Krebs cycle), where the full oxidation to carbon dioxide (CO2) takes place. Interestingly, the TCA cycle can also serve as a biosynthetic platform, where carbons from one class of metabolites are shunted into the biosynthesis of another. The utilisation in energy production or biosynthesis is a very dynamic process that integrates the metabolic needs of the cell with the availability of nutrients and oxygen [1,2]. While the flow of carbons into the TCA cycle can be readily traced by supplementation with 13C stable isotope-labelled nutrients, and their detection via mass spectrometric analysis, the quantification of the extent to which these nutrients are fully oxidised to CO2 poses a significant challenge due to its gaseous nature. Currently, this is mainly done by indirect methods such as the detection of radioactive 14C from labelled compounds or use of a relatively expensive setup to detect 13CO2 [3]. There are currently no established methods to accurately detect and quantify nutrient respiration via 13CO2 detection in systems relevant for routine lab work such as tissue culture.
However, photoacoustic-based, non-dispersive infrared spectroscopy (NDIR) has been demonstrated to enable highly selective CO2 sensors at a much-reduced system size due to its better sensitivity as compared to standard NDIR system [4]. In this contribution, the scheme is expanded to demonstrate isotope-selective detection of 12CO2 and 13CO2, thus paving the way for low-cost, in situ systems for the direct determination of the isotopic signature δ 13 C = 13 C 12 C s a m p l e 13 C 12 C s t a n d a r d × 1000 .

2. Materials and Methods

The detection scheme relies on a single, mid-infrared light emitting diode (LED) from Hamamatsu (L15895LED) with a central wavelength of 4.2 µm illuminating a detection path length of 5 mm and two hermetically sealed, miniaturized photoacoustic detectors that each include a MEMS microphone (Invensense ICS-40720) and a 500 µm thick sapphire window for optical access, which are filled at 1 bar pressure with 100% CO2 using standard isotope ratio of the carbon atom 13 C 12 C s t a n d a r d and 100% 13CO2, respectively. To characterize the system, varying concentrations of standard CO2 and pure 13CO2 have been mixed with synthetic air and the photoacoustic signal has been recoded.

3. Discussion

The sensor response of both system channels is shown in Figure 1 for varying CO2 concentrations using both standard carbon isotope ratio and pure 13CO2 as test gases. Both channels show a response to both CO2 isotope mixtures, but with a pronounced difference in sensitivity. Since only 12CO2 and 13CO2 cause signals, the setup enables a straightforward determination of δ13C, suitable for many applications that require isotope selective gas sensing applications.

Author Contributions

G.R.G. and A.O.P. built the sensing system, and performed the experiments and the data analysis; L.M. supported the experimental execution; G.R.G. and S.P. wrote the manuscript; P.K. devised the experiment; S.P. and G.R.G. devised the experimental setup and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

G.R.G. acknowledges funding from the Research Council of Norway under Grant Number 301552 (Upscaling Hotpots).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Kreuzaler, P.; Panina, Y.; Segal, J.; Yuneva, M. Adapt and conquer: Metabolic flexibility in cancer growth, invasion and evasion. Mol. Metab. 2019, 33, 83–101. [Google Scholar] [CrossRef] [PubMed]
  2. Méndez-Lucas, A.; Lin, W.; Driscoll, P.C.; Legrave, N.; Novellasdemunt, L.; Xie, C.; Charles, M.; Wilson, Z.; Jones, N.P.; Rayport, S.; et al. Identifying strategies to target the metabolic flexibility of tumours. Nat. Metab. 2020, 2, 335–350. [Google Scholar] [CrossRef] [PubMed]
  3. Scholz, L.; Perez, A.O.; Bierer, B.; Eaksen, P.; Wollenstein, J.; Palzer, S. Miniature Low-Cost Carbon Dioxide Sensor for Mobile Devices. IEEE Sens. J. 2017, 17, 2889–2895. [Google Scholar] [CrossRef]
  4. Wensaas, A.J.; Rustan, A.C.; Lövstedt, K.; Kull, B.; Wikström, S.; Drevon, C.A.; Hallén, S. Cell-based multiwell assays for the detection of substrate accumulation and oxidation. J. Lipid Res. 2007, 48, 961–967. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The sensor response to varying CO2 concentrations in dry synthetic air: (a) Using the standard isotope ratio of CO2, the sensitivity of the standard CO2 channel is considerably higher than for the 13CO2 channel. (b) For the gas sensitive characterization, using pure 13CO2 gas, the situation is reversed.
Figure 1. The sensor response to varying CO2 concentrations in dry synthetic air: (a) Using the standard isotope ratio of CO2, the sensitivity of the standard CO2 channel is considerably higher than for the 13CO2 channel. (b) For the gas sensitive characterization, using pure 13CO2 gas, the situation is reversed.
Proceedings 97 00207 g001
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Share and Cite

MDPI and ACS Style

Rodriguez Gutierrez, G.; Marouani, L.; Ortiz Perez, A.; Kreuzaler, P.; Palzer, S. Isotope-Selective Gas Sensing Using Photoacoustic Non-Dispersive Spectroscopy. Proceedings 2024, 97, 207. https://doi.org/10.3390/proceedings2024097207

AMA Style

Rodriguez Gutierrez G, Marouani L, Ortiz Perez A, Kreuzaler P, Palzer S. Isotope-Selective Gas Sensing Using Photoacoustic Non-Dispersive Spectroscopy. Proceedings. 2024; 97(1):207. https://doi.org/10.3390/proceedings2024097207

Chicago/Turabian Style

Rodriguez Gutierrez, Gabriel, Loay Marouani, Alvaro Ortiz Perez, Peter Kreuzaler, and Stefan Palzer. 2024. "Isotope-Selective Gas Sensing Using Photoacoustic Non-Dispersive Spectroscopy" Proceedings 97, no. 1: 207. https://doi.org/10.3390/proceedings2024097207

APA Style

Rodriguez Gutierrez, G., Marouani, L., Ortiz Perez, A., Kreuzaler, P., & Palzer, S. (2024). Isotope-Selective Gas Sensing Using Photoacoustic Non-Dispersive Spectroscopy. Proceedings, 97(1), 207. https://doi.org/10.3390/proceedings2024097207

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