| Title |
Rapid and mobile determination of alcoholic strength in wine, beer and spirits using a flow-through infrared sensor
|
|---|---|
| Published in |
BMC Chemistry, March 2010
|
| DOI | 10.1186/1752-153x-4-5 |
| Pubmed ID | |
| Authors |
Dirk W Lachenmeier, Rolf Godelmann, Markus Steiner, Bob Ansay, Jürgen Weigel, Gunther Krieg |
| Abstract |
Ever since Gay-Lussac's time, the alcoholic strength by volume (% vol) has been determined by using densimetric measurements. The typical reference procedure involves distillation followed by pycnometry, which is comparably labour-intensive and therefore expensive. At present, infrared (IR) spectroscopy in combination with multivariate regression is widely applied as a screening procedure, which allows one to determine alcoholic strength in less than 2 min without any sample preparation. The disadvantage is the relatively large investment for Fourier transform (FT) IR or near-IR instruments, and the need for matrix-dependent calibration. In this study, we apply a much simpler device consisting of a patented multiple-beam infrared sensor in combination with a flow-through cell for automated alcohol analysis, which is available in a portable version that allows for on-site measurements. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 2 | 33% |
| Germany | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Chile | 1 | <1% |
| Kenya | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 109 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 22% |
| Student > Ph. D. Student | 21 | 18% |
| Researcher | 14 | 12% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 4 | 4% |
| Other | 19 | 17% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 28 | 25% |
| Agricultural and Biological Sciences | 18 | 16% |
| Engineering | 14 | 12% |
| Physics and Astronomy | 5 | 4% |
| Materials Science | 4 | 4% |
| Other | 14 | 12% |
| Unknown | 31 | 27% |