## 4 Discussion  
The correlation between \(MW_{c}\) and \(RFD\) reveals that as \(MW_{c}\) increases, the force necessary to rupture each capsule decreases, supported by an R\({}^{2}\) value of 0.9. A lower \(MW_{c}\) implies a denser cross-link network within the encapsulation shell. This dense interconnectedness augments capsule resilience against external forces, necessitating greater force to breach the capsules. Conversely, a higher \(MW_{c}\) suggests a looser network, diminishing the capsule's resistance. The polymer's activity and cross-linking density significantly impact the elastic modulus and hardness, driven by the microstructural alterations stemming from these parameters. The activity of the polymer, often linked to the glass transition temperature (T\({}_{\text{g}}\)), dictates polymer chain mobility. Enhanced polymer activity, either through elevated temperatures or increased chain flexibility, boosts segmental mobility, leading to a decline in elastic modulus and hardness. This is because polymer chains can deform more readily under stress during nanoindentation [34; 35]. Conversely, cross-linking density profoundly impacts the mechanical properties of polymers. Cross-links serve as physical barriers, curtailing chain mobility and augmenting polymer network rigidity. A surge in cross-linking density typically raises both the elastic modulus and hardness since the network is less susceptible to deformation, resulting in a more rigid and harder material [36; 37; 38]. In summary, \(MW_{c}\) is a robust predictor for both \(RFD\) and _Encapsulation Efficiency (EE)_, underlining their collinearity. This relationship can be attributed to higher \(EE\) values, signifying superior encapsulation quality and enhanced mechanical strength. The  
Figure 7: Scatter plot matrix between the chemical structure variables (\(MW_{c}\), \(HSP\)_distance_) and performance variables (\(RFD\), _Encapsulation Efficiency_ and _On-Fabric delivery_). The structure–performance correlations are presented as follows: Row 1 and Column 1 represent the correlations comprising the molecular weight between cross-links (\(MW_{c}\)); Row 2 and Column 2 represents the correlations comprising the \(HSP\)_distance_; Row 3 and Column 3 represent the correlations comprising the \(RFD\); Row 4 and Column 4 represent the correlations comprising the _Encapsulation Efficiency_ %; Row 5 and Column 5 represent the correlations comprising _On-Fabric delivery_. close association between _RFD_ and _EE_ suggests potential interchangeability, evidenced by samples such as CAP1011101, which presented an _EE_ of 0% and the lowest _RFD_ in the study. Conversely, CAP105105101 manifested a high _EE_ alongside the maximum _RFD_. Nevertheless, it is crucial to acknowledge that _EE_ and _RFD_ are not entirely interchangeable. For instance, the collinearity is not consistently evident within the _EE_% range of 94% to 96%. Samples like CAP1010111, CAP103101, and CAP105105101 demonstrated similar _EE_ values, but a discernible difference in _RFD_, underscoring the unique significance of each parameter and necessitating individual consideration. The _HSP Distance_ provides valuable information on the solubility of the monomer mixture in the perfume mixture, which is expected to be a relevant parameter in the encapsulation process since it affects the transfer of the monomer to the interphase during encapsulation. However, in this specific case, solubility does not seem to be a parameter strongly influencing the performance of these samples since the correlation between _EE_ and _HSP Distance_ was not statistically significant, as highlighted by a low R\({}^{2}\). Since all the samples, except CAP101101, exhibited good morphological characteristics, according to the SEM pictures, and relatively high _EE_, it appears that for all these samples, the _HSP Distance_ between the monomer mixture and the perfume mixture is enough to enable a satisfactory transfer of monomer to the interphase, hence a successful encapsulation.