Biology exploits spa�al organiza�on to control signal transduc�on in biochemical networks. Ongoing efforts in systems chemistry demonstrate that feedback loops-sets of chemical reac�ons that represent the smallest possible modules in such networks -may be carefully designed to display behavior ubiquitous in living systems (e.g., bistability, oscilla�ons, and other modes of transient behavior). Many different schemes for interconnected feedback loops exist in theory, and tethering molecular reac�ons on a surface in par�cular could provide an atrac�ve strategy to create feedback loops capable of local regula�ons of (bio)chemical reac�ons. The prac�cal realiza�on, however, requires careful considera�ons in balancing the reac�on rates involved in the ac�va�on and inhibi�on processes. The design of chemical reac�on networks (CRNs) is based on rela�vely simple network mo�fs, 8 limited to few possibili�es to connect feedback loops. Methods that enable a delay �me in (o�en opposing) feedback loops and maintain out-of-equilibrium condi�ons are therefore essen�al in the de novo design. On the one hand, previously reported CRNs use synthe�c strategies to implement rate dependency (e.g., driven by enzyma�c or acid-base reac�ons ) and concentra�on dependency (e.g., driven by aggrega�on, or phase separa�on ) to create sufficient balance in the delay �me. On the other hand, microfluidics is employed to maintain reac�ons in well-mixed open reactors-so-called con�nuous flow s�rred tank reactors (CFSTR) . We ques�on how we can leverage methods in the fabrica�on of microfluidic systems to balance feedback loops and incorporate the spa�al control thereof.