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| Hauptseite > Publikationsdatenbank > Precise Volumetric Measurements of Any Shaped Objects with a Novel Acoustic Volumeter > print |
| Hauptseite > Publikationsdatenbank > Precise Volumetric Measurements of Any Shaped Objects with a Novel Acoustic Volumeter > print |
| 001 | 873663 | ||
| 005 | 20220930130229.0 | ||
| 024 | 7 | _ | |a 10.3390/s20030760 |2 doi |
| 024 | 7 | _ | |a 2128/24283 |2 Handle |
| 024 | 7 | _ | |a pmid:32019130 |2 pmid |
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| 037 | _ | _ | |a FZJ-2020-00893 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 620 |
| 100 | 1 | _ | |a Sydoruk, Viktor |0 P:(DE-Juel1)128734 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Precise Volumetric Measurements of Any Shaped Objects with a Novel Acoustic Volumeter |
| 260 | _ | _ | |a Basel |c 2020 |b MDPI |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1581003947_22019 |2 PUB:(DE-HGF) |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a We introduce a novel technique to measure volumes of any shaped objects based on acoustic components. The focus is on small objects with rough surfaces, such as plant seeds. The method allows measurement of object volumes more than 1000 times smaller than the volume of the sensor chamber with both high precision and high accuracy. The method is fast, noninvasive, and easy to produce and use. The measurement principle is supported by theory, describing the behavior of the measured data for objects of known volumes in a range of 1 to 800 µL. In addition to single-frequency, we present frequency-dependent measurements that provide supplementary information about pores on the surface of a measured object, such as the total volume of pores and, in the case of cylindrical pores, their average radius-to-length ratio. We demonstrate the usefulness of the method for seed phenotyping by measuring the volume of irregularly shaped seeds and showing the ability to “look” under the husk and inside pores, which allows us to assess the true density of seeds. |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 536 | _ | _ | |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A) |0 G:(DE-Juel1)BMBF-031A053A |c BMBF-031A053A |f Deutsches Pflanzen Phänotypisierungsnetzwerk |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Kochs, Johannes |0 P:(DE-Juel1)129346 |b 1 |u fzj |
| 700 | 1 | _ | |a van Dusschoten, Dagmar |0 P:(DE-Juel1)129425 |b 2 |u fzj |
| 700 | 1 | _ | |a Huber, Gregor |0 P:(DE-Juel1)129333 |b 3 |u fzj |
| 700 | 1 | _ | |a Jahnke, Siegfried |0 P:(DE-Juel1)129336 |b 4 |u fzj |
| 773 | _ | _ | |a 10.3390/s20030760 |g Vol. 20, no. 3, p. 760 - |0 PERI:(DE-600)2052857-7 |n 3 |p 760 |t Sensors |v 20 |y 2020 |x 1424-8220 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/873663/files/Invoice_sensors-686945%281%29.pdf |
| 856 | 4 | _ | |x pdfa |u https://juser.fz-juelich.de/record/873663/files/Invoice_sensors-686945%281%29.pdf?subformat=pdfa |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/873663/files/sensors-20-00760.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://juser.fz-juelich.de/record/873663/files/sensors-20-00760.pdf?subformat=pdfa |
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