| Title |
Aromatic and proteomic analyses corroborate the distinction between Mediterranean landraces and modern varieties of durum wheat
|
|---|---|
| Published in |
Scientific Reports, October 2016
|
| DOI | 10.1038/srep34619 |
| Pubmed ID | |
| Authors |
Federico Vita, Cosimo Taiti, Antonio Pompeiano, Zuguang Gu, Emilio Lo Presti, Larisa Whitney, Michele Monti, Giuseppe Di Miceli, Dario Giambalvo, Paolo Ruisi, Lorenzo Guglielminetti, Stefano Mancuso |
| Abstract |
In this paper volatile organic compounds (VOCs) from durum wheat cultivars and landraces were analyzed using PTR-TOF-MS. The aim was to characterize the VOC's profile of the wholemeal flour and of the kernel to find out if any VOCs were specific to varieties and sample matrices. The VOC data is accompanied by SDS-PAGE analyses of the storage proteins (gliadins and glutenins). Statistical analyses was carried out both on the signals obtained by MS and on the protein profiles. The difference between the VOC profile of two cultivars or two preparations of the same sample - matrices, in this case kernel vs wholemeal flour - can be very subtle; the high resolution of PTR-TOF-MS - down to levels as low as pptv - made it possible to recognize these differences. The effects of grinding on the VOC profiles were analyzed using SIMPER and Tanglegram statistical methods. Our results show that it is possible describe samples using VOC profiles and protein data. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 35% |
| Student > Ph. D. Student | 4 | 13% |
| Professor > Associate Professor | 3 | 10% |
| Student > Doctoral Student | 1 | 3% |
| Other | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 52% |
| Environmental Science | 2 | 6% |
| Chemical Engineering | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 26% |
Attention Score in Context
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#20,522,137
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#106,746
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#2,986
of 3,521 outputs
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