Jafari, A.; Seth, K.; Werner, A.; Shi, S.; Hofmann, R.; Hoyos-Villegas, V. Probing Biological Nitrogen Fixation in Legumes Using Raman Spectroscopy. Preprints2024, 2024060765. https://doi.org/10.20944/preprints202406.0765.v1
APA Style
Jafari, A., Seth, K., Werner, A., Shi, S., Hofmann, R., & Hoyos-Villegas, V. (2024). Probing Biological Nitrogen Fixation in Legumes Using Raman Spectroscopy. Preprints. https://doi.org/10.20944/preprints202406.0765.v1
Chicago/Turabian Style
Jafari, A., Rainer Hofmann and Valerio Hoyos-Villegas. 2024 "Probing Biological Nitrogen Fixation in Legumes Using Raman Spectroscopy" Preprints. https://doi.org/10.20944/preprints202406.0765.v1
Abstract
Biological nitrogen fixation (BNF) by symbiotic bacteria plays a vital role in sustainable agriculture. However, current quantification methods are often expensive and impractical. This study explores the potential of Raman spectroscopy, a non-invasive technique, for rapid assessment of BNF activity in soybeans. Raman spectra were obtained from soybean plants grown with and without rhizobia bacteria to identify spectral signatures associated with BNF. δN15 isotope ratio mass spectrometry (IRMS) was used to determine actual BNF percentages. Partial least squares regression (PLSR) was employed to develop a model for BNF quantification based on Raman spectra. The model explained 80% of the variation in BNF activity. To enhance the model's specificity for BNF detection regardless of nitrogen availability, a subsequent elastic net (Enet) regularization strategy was implemented. This approach provided insights into key wavenumbers and biochemicals associated with BNF in soybeans.
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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