scholarly journals In Situ Water Quantification in Natural Deep Eutectic Solvents Using Portable Raman Spectroscopy

Molecules ◽  
2021 ◽  
Vol 26 (18) ◽  
pp. 5488
Author(s):  
Suha Elderderi ◽  
Laura Wils ◽  
Charlotte Leman-Loubière ◽  
Hugh J. Byrne ◽  
Igor Chourpa ◽  
...  

Raman spectroscopy is a label-free, non-destructive, non-invasive analytical tool that provides insight into the molecular composition of samples with minimum or no sample preparation. The increased availability of commercial portable Raman devices presents a potentially easy and convenient analytical solution for day-to-day analysis in laboratories and production lines. However, their performance for highly specific and sensitive analysis applications has not been extensively evaluated. This study performs a direct comparison of such a commercially available, portable Raman system, with a research grade Raman microscope system for the analysis of water content of Natural Deep Eutectic Solvents (NADES). NADES are renewable, biodegradable and easily tunable “green” solvents, outcompeting existing organic solvents for applications in extraction from biomass, biocatalysis, and nanoparticle synthesis. Water content in NADES is, however, a critical parameter, affecting their properties, optimal use and extraction efficiency. In the present study, portable Raman spectroscopy coupled with Partial Least Squares Regression (PLSR) is investigated for rapid determination of water content in NADES samples in situ, i.e., directly in glassware. Three NADES systems, namely Betaine Glycerol (BG), Choline Chloride Glycerol (CCG) and Glucose Glycerol (GG), containing a range of water concentrations between 0% (w/w) and 28.5% (w/w), were studied. The results are directly compared with previously published studies of the same systems, using a research grade Raman microscope. PLSR results demonstrate the reliability of the analysis, surrendering R2 values above 0.99. Root Mean Square Errors Prediction (RMSEP) of 0.6805%, 0.9859% and 1.2907% w/w were found for respectively unknown CCG, BG and GG samples using the portable device compared to 0.4715%, 0.3437% and 0.7409% w/w previously obtained by analysis in quartz cuvettes with a Raman confocal microscope. Despite the relatively higher values of RMSEP observed, the comparison of the percentage of relative errors in the predicted concentration highlights that, overall, the portable device delivers accuracy below 5%. Ultimately, it has been demonstrated that portable Raman spectroscopy enables accurate quantification of water in NADES directly through glass vials without the requirement for sample withdrawal. Such compact instruments provide solvent and consumable free analysis for rapid analysis directly in laboratories and for non-expert users. Portable Raman is a promising approach for high throughput monitoring of water content in NADES that can support the development of new analytical protocols in the field of green chemistry in research and development laboratories but also in the industry as a routine quality control tool.

Author(s):  
Josu Trebolazabala ◽  
Maite Maguregui ◽  
Héctor Morillas ◽  
Alberto de Diego ◽  
Juan Manuel Madariaga

2013 ◽  
Vol 67 (11) ◽  
pp. 1234-1241 ◽  
Author(s):  
Anna Cesaratto ◽  
Austin Nevin ◽  
Gianluca Valentini ◽  
Luigi Brambilla ◽  
Chiara Castiglioni ◽  
...  

2020 ◽  
Vol 17 (10) ◽  
pp. 105601
Author(s):  
Qingyu Lin ◽  
Ekaterina N Lazareva ◽  
Vyacheslav I Kochubey ◽  
Yixiang Duan ◽  
Valery V Tuchin

2019 ◽  
Vol 488 ◽  
pp. 40-47 ◽  
Author(s):  
Lizandra Kamradt Savi ◽  
Danielle Carpiné ◽  
Nina Waszczynskyj ◽  
Rosemary Hoffmann Ribani ◽  
Charles Windson Isidoro Haminiuk

2020 ◽  
Author(s):  
Yan Li ◽  
Fengping Wang ◽  
Junjie Ma ◽  
Kang He ◽  
Min Zhang

Abstract As a precious treasure in the history of Chinese architecture, Chinese ancient architectural colored drawing is an important cultural heritage. Knowing exactly the pigment composition in the ancient architectural colored drawing is of great significance to understand and protection of the cultural relic. The in-situ measurement was carried out on the pigments used in the ancient architecture colored drawing in the Altar of Agriculture (Beijing, China) for the first time by Portable Raman spectroscopy and hand-held x-ray fluorescence spectroscopy. The components of the typical pigments, such as red, green, blue, white and black in the colored drawings were studied by spectral analysis and the relationship between the color and material composition of the pigments, including red lead (Pb3O4), massicot (PbO), carbon black (amorphous C), lead white (PbCO3∙Pb(OH)2), indigo (C16H10N2O2), and atacamite (Cu2(OH)3Cl) were established as well. According to the application history of the pigments and the records of the Altar of Agriculture, these colored drawings could be dated to the Qianlong period. Information about these pigments can help preserve and restore architectural drawings in the Altar of Agriculture (Beijing, China) as well as the architectural colored drawings in other Chinese ancient architecture.


2021 ◽  
Vol 14 (11) ◽  
pp. 7243-7254
Author(s):  
Kamil Mroz ◽  
Alessandro Battaglia ◽  
Cuong Nguyen ◽  
Andrew Heymsfield ◽  
Alain Protat ◽  
...  

Abstract. An algorithm based on triple-frequency (X, Ka, W) radar measurements that retrieves the size, water content and degree of riming of ice clouds is presented. This study exploits the potential of multi-frequency radar measurements to provide information on bulk snow density that should underpin better estimates of the snow characteristic size and content within the radar volume. The algorithm is based on Bayes' rule with riming parameterised by the “fill-in” model. The radar reflectivities are simulated with a range of scattering models corresponding to realistic snowflake shapes. The algorithm is tested on multi-frequency radar data collected during the ESA-funded Radar Snow Experiment For Future Precipitation Mission. During this campaign, in situ microphysical probes were mounted on the same aeroplane as the radars. This nearly perfectly co-located dataset of the remote and in situ measurements gives an opportunity to derive a combined multi-instrument estimate of snow microphysical properties that is used for a rigorous validation of the radar retrieval. Results suggest that the triple-frequency retrieval performs well in estimating ice water content (IWC) and mean mass-weighted diameters obtaining root-mean-square errors of 0.13 and 0.15, respectively, for log 10IWC and log 10Dm. The retrieval of the degree of riming is more challenging, and only the algorithm that uses Doppler information obtains results that are highly correlated with the in situ data.


2009 ◽  
Vol 40 (12) ◽  
pp. 1875-1880 ◽  
Author(s):  
Michael D. Hargreaves ◽  
Neil A. Macleod ◽  
Victoria L. Brewster ◽  
Tasnim Munshi ◽  
Howell G. M. Edwards ◽  
...  

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