Chemotherapy
is a primary cancer treatment strategy, the monitoring
of which is critical to enhancing the survival rate and quality of
life of cancer patients. However, current chemotherapy monitoring
mainly relies on imaging tools with inefficient sensitivity and radiation
invasiveness. Herein, we develop the bowl-shaped submicroreactor chip
of Au-loaded 3-aminophenol formaldehyde resin (denoted as APF-bowl&Au)
with a specifically designed structure and Au loading content. The
obtained APF-bowl&Au, used as the matrix of laser desorption/ionization
mass spectrometry (LDI MS), possesses an enhanced localized electromagnetic
field for strengthened small metabolite detection. The APF-bowl&Au
enables the extraction of serum metabolic fingerprints (SMFs), and
machine learning of the SMFs achieves chemotherapy monitoring of ovarian
cancer with area-under-the-curve (AUC) of 0.81–0.98. Furthermore,
a serum metabolic biomarker panel is preliminarily identified, exhibiting
gradual changes as the chemotherapy cycles proceed. This work provides
insights into the development of nanochips and contributes to a universal
detection platform for chemotherapy monitoring.