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Water Treatment
Furthermore, this method allows for adjusting the proportion of plant extracts in the final ODYLIFE product formulas based on their“ Active tracer” content, thus ensuring consistent product quality.
Figure 3: Boxplots of Active Tracer grams per grams of RS as a function of the supply of source M.
Figure 2 highlights a strong correlation( R 2 > 0.99) between the measured value and the theoretical concentration of the“ Active tracer”. Its simplicity and precision allow its use both in Quality control, in laboratory R & D analyses, and in“ field” monitoring( post-harvest, monitoring of on-site installations, etc.), just like other classic water analyses. This method allows, on the one hand, control of the content of“ Active tracers” at each stage of the life cycle of ODYLIFE and, on the other hand, ensures optimal inhibitory effectiveness against scaling.
III. 2. Supply control The use of plant-based raw materials leads to a high variability in composition depending on growing conditions( soil, climate, inputs, etc.), variety, harvested part, growth stage, etc. [ 8 – 10 ]. Figure 3 shows the variability of mass concentrations of the“ Active tracer” observed for 2 successive supplies of the same raw material( source M) composing ODYLIFE. Figure 3, derived from 6 samples per supply, indicates a higher proportion of“ Active Tracer” in supply # 1(~ 10 %) compared to supply # 2(~ 7 %). Additionally, a significant dispersion around the mean is observed, particularly for supply # 1, indicating that the raw material harvested within the same plot and at the same time may exhibit significant heterogeneity. In this case, for the same quantity of raw material produced and extracted, supply # 1 yields an extraction efficiency of active principle 30 % to 40 % higher compared to supply # 2. Thus, for the same amount of energy expended to extract a given source, the higher the extraction efficiency of the active principle, the greater the economic and environmental impact reduction.