TY  - GEN
A1  - Eccleston, Paul
A1  - Drummond, Rachel
A1  - Middleton, Kevin
A1  - Bishop, Georgia
A1  - Caldwell, Andrew
A1  - Desjonqueres, Lucile
A1  - Tosh, Ian
A1  - Cann, Nick
A1  - Crook, Martin
A1  - Hills, Matthew
A1  - Pearson, Chris
A1  - Simpson, Caroline
A1  - Stamper, Richard
A1  - Tinetti, Giovanna
A1  - Pascale, Enzo
A1  - Swain, Mark
A1  - Holmes, Warren A.
A1  - Wong, Andre
A1  - Puig, Ludovic
A1  - Pilbratt, Göran
A1  - Linder, Martin
A1  - Boudin, Nathalie
A1  - Ertel, Hanno
A1  - Gambicorti, Lisa
A1  - Halain, Jean-Philippe
A1  - Pace, Emanuele
A1  - Vilardell, Francesc
A1  - Gómez, José M.
A1  - Colomé, Josep
A1  - Amiaux, Jérôme
A1  - Cara, Christophe
A1  - Berthe, Michel
A1  - Moreau, Vincent
A1  - Morgante, Gianluca
A1  - Malaguti, Giuseppe
A1  - Alonso, Gustavo
A1  - Álvarez, Javier P.
A1  - Ollivier, Marc
A1  - Philippon, Anne
A1  - Hellin, Marie-Laure
A1  - Roose, Steve
A1  - Frericks, Martin
A1  - Krijger, Matthijs
A1  - Rataj, Miroslaw
A1  - Wawer, Piotr
A1  - Skup, Konrad
A1  - Sobiecki, Mateusz
A1  - Christian Jessen, Niels
A1  - Møller Pedersen, Søren
A1  - Hargrave, Peter
A1  - Griffin, Matt
A1  - Ottensamer, Roland
A1  - Hunt, Thomas
A1  - Rust, Duncan
A1  - Saleh, Aymen
A1  - Winter, Berend
A1  - Focardi, Mauro
A1  - Da Deppo, Vania
A1  - Zuppella, Paola
A1  - Czupalla, Markus
ED  - Lystrup, Makenzie
ED  - Perrin, Marshall D.
ED  - Batalha, Natalie
ED  - Siegler, Nicholas
ED  - Tong, Edward C.
T1  - The ARIEL payload: A technical overview
T2  - Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave
N2  - The Atmospheric Remote-Sensing Infrared Exoplanet Large-survey, ARIEL, has been selected to be the next (M4) medium class space mission in the ESA Cosmic Vision programme. From launch in 2028, and during the following 4 years of operation, ARIEL will perform precise spectroscopy of the atmospheres of ~1000 known transiting exoplanets using its metre-class telescope. A three-band photometer and three spectrometers cover the 0.5 µm to 7.8 µm region of the electromagnetic spectrum. This paper gives an overview of the mission payload, including the telescope assembly, the FGS (Fine Guidance System) - which provides both pointing information to the spacecraft and scientific photometry and low-resolution spectrometer data, the ARIEL InfraRed Spectrometer (AIRS), and other payload infrastructure such as the warm electronics, structures and cryogenic cooling systems.
KW  - Exoplanet
KW  - Spectroscopy
KW  - Transit
KW  - Atmospheres
KW  - Payload
Y1  - 2020
U6  - https://doi.org/10.1117/12.2561478
N1  - Space Telescopes and Instrumentation 2020: Optical, Infrared, and Millimeter Wave, 14–22 December 2020, Online Only, United States
VL  - 11443
SP  - 114430Z
PB  - SPIE
CY  - Washington
ER  - 
TY  - JOUR
A1  - Block, Franziska
A1  - May, Alexander
A1  - Wetzel, Katharina
A1  - Adels, Klaudia
A1  - Elbers, Gereon
A1  - Schulze, Margit
A1  - Monakhova, Yulia
T1  - What is the best spectroscopic method for simultaneous analysis of organic acids and (poly)saccharides in biological matrices: Example of Aloe vera extracts?
JF  - Talanta Open
N2  - Several species of (poly)saccharides and organic acids can be found often simultaneously in various biological matrices, e.g., fruits, plant materials, and biological fluids. The analysis of such matrices sometimes represents a challenging task. Using Aloe vera (A. vera) plant materials as an example, the performance of several spectro-scopic methods (80 MHz benchtop NMR, NIR, ATR-FTIR and UV–vis) for the simultaneous analysis of quality parameters of this plant material was compared. The determined parameters include (poly)saccharides such as aloverose, fructose and glucose as well as organic acids (malic, lactic, citric, isocitric, acetic, fumaric, benzoic and sorbic acids). 500 MHz NMR and high-performance liquid chromatography (HPLC) were used as the reference methods.

UV–vis data can be used only for identification of added preservatives (benzoic and sorbic acids) and drying agent (maltodextrin) and semiquantitative analysis of malic acid. NIR and MIR spectroscopies combined with multivariate regression can deliver more informative overview of A. vera extracts being able to additionally quantify glucose, aloverose, citric, isocitric, malic, lactic acids and fructose. Low-field NMR measurements can be used for the quantification of aloverose, glucose, malic, lactic, acetic, and benzoic acids. The benchtop NMR method was successfully validated in terms of robustness, stability, precision, reproducibility and limit of detection (LOD) and quantification (LOQ), respectively. All spectroscopic techniques are useful for the screening of (poly)saccharides and organic acids in plant extracts and should be applied according to its availability as well as information and confidence required for the specific analytical goal. Benchtop NMR spectroscopy seems to be the most feasible solution for quality control of A. vera products.
KW  - Spectroscopy
KW  - (Poly)saccharides
KW  - Organic acids
KW  - Aloe vera
KW  - qNMR
Y1  - 2023
U6  - https://doi.org/10.1016/j.talo.2023.100220
SN  - 2666-8319
VL  - 7
IS  - Art. No. 100220
SP  - 1
EP  - 9
PB  - Elsevier
CY  - Amsterdam
ER  -