Hydrogen detection during photocatalytic water splitting: A tutorial

Martínez, María C. Nevárez; Cavdar, Onur; Haliński, Łukasz P.; Miodyńska, Magdalena; Parnicka, Patrycja; Bajorowicz, Beata; Kobylański, Marek P.; Lewandowski, Łukasz; Zaleska-Medynska, Adriana

doi:10.1016/j.ijhydene.2022.03.050

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…One way to improve these photocatalytic systems is by creating an accessible tool that can accurately and efficiently monitor hydrogen evolution reactions in high-throughput, which could provide the data necessary for building insightful artificial intelligence-based tools or machine learning models. Unfortunately, introducing light-driven HERs to these environments can pose many challenges as the predominant tool used to monitor hydrogen evolution, gas chromatography, is expensive, requires hydrogen gas as a standard, and experiments can only be conducted in low throughput 15 . Alternative approaches using headspace Raman spectroscopy or mass spectrometry are facing similar obstacles 16 .…”

Section: Figurementioning

confidence: 99%

High Throughput Methodology for Investigating Green Hydrogen Generating Processes using Colorimetric Detection Films and Machine Vision

Talledo,

Kubaney,

Baumer

et al. 2024

Preprint

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The generation of hydrogen from abundant and renewable precursors driven by sunlight will be a cornerstone of a future, sustainable hydrogen infrastructure. Current methods to monitor the evolution of hydrogen in such photocatalytic systems such as gas chromatography, mass spectrometry, manometry or Raman spectroscopy are either expensive and low throughput or lack sensitivity and selectivity over other gasses. This impediment hinders the generation of photo-driven hydrogen evolution data necessary for machine learning and artificial intelligence-based protocols. This work presents an open-source approach for studying solar-driven hydrogen evolution reactions (HERs) in parallel that uses colorimetric hydrogen detection films in tandem with an image analysis software capable of providing metrics such as hydrogen amount, hydrogen evolution rates, incubation times, and plateau times, and more. The sensing medium is composed of 0.05 % (w/w) Pt impregnated molybdenum (VI) oxide or tungsten (VI) oxide which was incorporated into poly(vinyl alcohol) films placed under clear, gas impermeable septa. To conduct experiments, users require only blue reaction-driving high intensity LEDs, a camera, and uniform lighting to take pictures as the septa darken. This work introduces a sample configuration in which nine samples in hydrogen sensitive septa-capped vials were illuminated and the gas evolution is monitored using a RaspberryPi for image capture and storage. Two calibration methods are presented, one uses a gravimetric hydrogen evolution with Zn/HCl that is compared to a direct hydrogen injection. Both methods allow the accurate correlation of normalized intensity values of film photographs to mole fractions of H2 ranging from 0 to 50%. Four light-driven HERs are described that highlight the capabilities of the detection method, two of which were conducted using the novel septa-based instrumentation while the other two experiments used the films on a 108 multiwell plate using a previously discussed photoreactor.

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Section: Figurementioning

confidence: 99%

High Throughput Methodology for Investigating Green Hydrogen Generating Processes using Colorimetric Detection Films and Machine Vision

Talledo,

Kubaney,

Baumer

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Unfortunately, introducing light-driven HERs to these environments can pose many challenges as the predominant tool used to monitor hydrogen evolution, gas chromatography, is expensive, requires hydrogen gas as a standard, and experiments can only be conducted in low throughput. 15 Alternative approaches using headspace Raman spectroscopy or mass spectrometry are facing similar obstacles. 16 Inexpensive and accessible solutions such as the use of pressure transducers or hydrogen sensors have been used, but often lack accuracy and selectivity for hydrogen over other potential gasses that may evolve in HERs such as CO, CO 2 , and O 2 .…”

Section: Introductionmentioning

confidence: 99%

High throughput methodology for investigating green hydrogen generating processes using colorimetric detection films and machine vision

Talledo,

Kubaney,

Baumer

et al. 2024

Digital Discovery

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“…However, the most significant limitations of these techniques are typically very time consuming, expensive, require skilled technicians, off-site analyses, and matrix-matched calibration standards that are not routinely determined [14]. To overcome these issues, various other techniques have been considered to detect hydrogen, e.g., electrochemical [15], catalyst [16], resistance based [17], and optical methods [18][19][20]. However, electrochemical and optical based sensors are the most preferred because they are capable of detecting low concentrations of hydrogen with an acceptable selectivity [3,21].…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Optical Hydrogen Sensor including Use of Metal and Metal Alloys: A Review

et al. 2023

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Optical sensing technologies for hydrogen monitoring are of increasing importance in connection with the development and expanded use of hydrogen and for transition to the hydrogen economy. The past decades have witnessed a rapid development of optical sensors for hydrogen monitoring due to their excellent features of being immune to electromagnetic interference, highly sensitive, and widely applicable to a broad range of applications including gas sensing at the sub-ppm range. However, the selection of hydrogen selective metal and metal alloy plays an important role. Considering the major advancements in the field of optical sensing technologies, this review aims to provide an overview of the recent progress in hydrogen monitoring. Additionally, this review highlights the sensing principles, advantages, limitations, and future development.

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Hydrogen detection during photocatalytic water splitting: A tutorial

Cited by 9 publications

References 30 publications

High Throughput Methodology for Investigating Green Hydrogen Generating Processes using Colorimetric Detection Films and Machine Vision

High Throughput Methodology for Investigating Green Hydrogen Generating Processes using Colorimetric Detection Films and Machine Vision

High throughput methodology for investigating green hydrogen generating processes using colorimetric detection films and machine vision

Recent Advances in Optical Hydrogen Sensor including Use of Metal and Metal Alloys: A Review

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