Please login first
Marcus Wolff     Institute, Department or Faculty Head 
Timeline See timeline
Marcus Wolff published an article in November 2018.
Research Keywords & Expertise
0 A
0 Concentration
0 Optimization
0 NO
Top co-authors
Henry Bruhns

7 shared publications

Hochschule für Angewandte Wissenschaften Hamburg, Fakultät Technik und Informatik, Department Maschinenbau und Produktion, Berliner Tor 21, 20099 Hamburg, Germany

Yannick Saalberg

6 shared publications

Hochschule für Angewandte Wissenschaften Hamburg, Fakultät Technik und Informatik, Department Maschinenbau und Produktion, Berliner Tor 21, 20099 Hamburg, Germany

Klaus Michael Spohr

3 shared publications

Extreme Light Infrastructure (ELI-NP) & Horia Hulubei National Institute for R & D in Physics and Nuclear Engineering (IFIN-HH), Str. Reactorului No. 30, P.O. Box MG-6, 077125 Bucharest– Măgurele, Romania

33
Publications
7
Reads
0
Downloads
45
Citations
Publication Record
Distribution of Articles published per year 
(2006 - 2018)
Total number of journals
published in
 
18
 
Publications See all
Article 0 Reads 0 Citations Quantitative Evaluation of Broadband Photoacoustic Spectroscopy in the Infrared with an Optical Parametric Oscillator Henry Bruhns, Marcus Wolff, Yannick Saalberg, Klaus Michael ... Published: 15 November 2018
Sensors, doi: 10.3390/s18113971
DOI See at publisher website ABS Show/hide abstract
We evaluate the spectral resolution and the detection thresholds achievable for a photoacoustic spectroscopy (PAS) system in the broadband infrared wavelength region 3270nm≲λ≲3530nm driven by a continuous wave optical parametric oscillator (OPO) with P¯≈1.26W. The absorption spectra, IPAS(λi), for diluted propane, ethane and methane test gases at low concentrations (c∼100ppm) were measured for ∼1350 discrete wavelengths λi. The IPAS(λi) spectra were then compared to the high resolution cross section data, σFTIR, obtained by Fourier Transform Infrared Spectroscopy published in the HITRAN database. Deviations of 7.1(6)% for propane, 8.7(11)% for ethane and 15.0(14)% for methane with regard to the average uncertainty between IPAS(λi) and the expected reference values based on σFTIR were recorded. The characteristic absorption wavelengths λres can be resolved with an average resolution of δλres∼0.08nm. Detection limits range between 7.1 ppb (ethane) to 13.6 ppb (methane). In an additional step, EUREQA, an artificial intelligence (AI) program, was successfully applied to deconvolute simulated PAS spectra of mixed gas samples at low limits of detection. The results justify a further development of PAS technology to support e.g., biomedical research.
PREPRINT 0 Reads 0 Citations Photoacoustics Modelling using Amplitude Mode Expansion Method in a Multiscale T-cell Resonator Said El-Busaidy, Bernd Baumann, Marcus Wolff, Lars Duggen Published: 27 October 2018
PREPRINT 0 Reads 0 Citations Quantitative Evaluation of Broadband Photoacoustic Spectroscopy in the Infrared With an Optical Parametric Oscillator Henry Bruhns, Marcus Wolff, Yannick Saalberg, Klaus Michael ... Published: 05 September 2018
doi: 10.20944/preprints201809.0080.v1
DOI See at publisher website ABS Show/hide abstract
Photoacoustic spectroscopy allows the identification of specific molecules in gases. We evaluate the spectral resolution and detection limits for a PAS system in the broadband infrared wavelength region 3270 nm ≲ λ ≲ 3530 nm driven by a continuous wave optical parametric oscillator with P ≈ 1.26 W by measuring the absorption of diluted propane, ethane and methane test gases at low concentrations c ~ 100 ppm for ~1350 discrete wavelengths λi. The resulting spectra IPAS(λi) were compared to the high resolution cross section data σFTIR obtained by Fourier Transform Infrared Spectroscopy from the HITRAN database. Deviations as little as 7.1(6)% for propane, 8.7(11)% for ethane and 15.0(14)% for methane with regard to the average uncertainty between IPAS(λi) and the expected reference values based on σFTIR were recorded. The wavelengths λres of the characteristic absorption lines can be pinpointed with a high relative accuracy <5 × 10−5 corresponding to a resolution of λres ~ 0.16 nm. Detection limits range between 7.1 ppb (ethane) to 13.6 ppb (methane) coinciding with high experimental signal-to-noise ratios. Moreover, using EUREQA, an artificial intelligence program, simulated mixed gas samples at low limits of detection could be deconvoluted. These results justify a further development of PAS technology to support, e.g., biomedical research.
Article 1 Read 0 Citations Multivariate Analysis as a Tool to Identify Concentrations from Strongly Overlapping Gas Spectra Yannick Saalberg, Marcus Wolff Published: 15 May 2018
Sensors, doi: 10.3390/s18051562
DOI See at publisher website ABS Show/hide abstract
We applied a multivariate analysis (MVA) to spectroscopic data of gas mixtures in the mid-IR in order to calculate the concentrations of the single components which exhibit strongly overlapping absorption spectra. This is a common challenge in broadband spectroscopy. Photoacoustic (PA) measurements of different volatile organic compounds (VOCs) in the wavelength region of 3250 nm to 3550 nm served as the exemplary detection technique. Partial least squares regression (PLS) was used to calculate concentrations from the PA spectra. After calibration, the PLS model was able to determine concentrations of single VOCs with a relative accuracy of 2.60%.
Article 1 Read 0 Citations High-intensity discharge lamp and Duffing oscillator—Similarities and differences Bernd Baumann, Joerg Schwieger, Ulrich Stein, Sarah Hallerbe... Published: 07 December 2017
Journal of Applied Physics, doi: 10.1063/1.4999979
DOI See at publisher website
Article 4 Reads 0 Citations Multivariate Analysis as a Tool to Identify Concentrations from Strongly Overlapping Gas Spectra Yannick Saalberg, Marcus Wolff Published: 29 November 2017
Proceedings, doi: 10.3390/proceedings1080843
DOI See at publisher website ABS Show/hide abstract
Multivariate analysis (MVA) was introduced in the early 20th century and first applied in psychology under the name of Multiple Factor Analysis (MFA).
Top