Feasibility of Two MEMS-NIR Spectrophotometers for Characterizing Different Biofuel Origin
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30329-6_68
Reference7 articles.
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2. Mancini, M., Duca, D., Toscano, G.: Laboratory customized online measurements for the prediction of the key-parameters of biomass quality control. J. Near Infrared Spectrosc. 27(1), 15–25 (2019). https://doi.org/10.1177/0967033518825341
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4. Duca, D., et al.: Soft independent modelling of class analogy applied to infrared spectroscopy for rapid discrimination between hardwood and softwood 117 (2016). https://doi.org/10.1016/j.energy.2016.10.092.
5. Schwanninger, M., Rodrigues, J.C., Fackler, K.: A review of band assignments in near infrared spectra of wood and wood components. J. Near Infrared Spectrosc. 19, 287–308 (2011). https://doi.org/10.1255/jnirs.955
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