Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">NIR sensor</td><td class="align_center">Wavelength range (nm)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">S1.4</td><td class="align_center">1100–1350</td></tr><tr><td class="align_left">S1.7</td><td class="align_center">1350–1650</td></tr><tr><td class="align_left">S2.0</td><td class="align_center">1550–1950</td></tr><tr><td class="align_left">S2.2</td><td class="align_center">1750–2150</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Sensor types and wavelength ranges.</div>

International Journal of Chemical Engineering

tab1

Table 1

Table 1: Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning 