Ultrasound Pulse Emission Spectroscopy Method to Characterize Xylem Conduits in Plant Stems
Satadal Dutta,
Zhiyi Chen,
Elias Kaiser,
Priscilla Malcolm Matamoros,
Peter G. Steeneken,
Gerard J. Verbiest
Affiliations
Satadal Dutta
Department of Precision and Microsystems Engineering, Faculty of 3ME, TU Delft, Mekelweg 2, 2628CD Delft, Netherlands
Zhiyi Chen
Horticulture and Product Physiology, Department of Plant Sciences, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands
Elias Kaiser
Horticulture and Product Physiology, Department of Plant Sciences, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands
Priscilla Malcolm Matamoros
Horticulture and Product Physiology, Department of Plant Sciences, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands
Peter G. Steeneken
Department of Precision and Microsystems Engineering, Faculty of 3ME, TU Delft, Mekelweg 2, 2628CD Delft, Netherlands
Gerard J. Verbiest
Department of Precision and Microsystems Engineering, Faculty of 3ME, TU Delft, Mekelweg 2, 2628CD Delft, Netherlands
Although it is well known that plants emit acoustic pulses under drought stress, the exact origin of the waveform of these ultrasound pulses has remained elusive. Here, we present evidence for a correlation between the characteristics of the waveform of these pulses and the dimensions of xylem conduits in plants. Using a model that relates the resonant vibrations of a vessel to its dimension and viscoelasticity, we extract the xylem radii from the waveforms of ultrasound pulses and show that these are correlated and in good agreement with optical microscopy. We demonstrate the versatility of the method by applying it to shoots of ten different vascular plant species. In particular, for Hydrangea quercifolia, we further extract vessel element lengths with our model and compare them with scanning electron cryomicroscopy. The ultrasonic, noninvasive characterization of internal conduit dimensions enables a breakthrough in speed and accuracy in plant phenotyping and stress detection.