Polarix: Monitoring Multi-Component Liquids via Polarized Light

Authors: Juntao Zhou, Longyuan Ge, Yi-Chao Chen, Qianfei Ren, Yijie Li, Dian Ding, Yida Wang, Hao Pan, Lili Qiu, Jiadi Yu, Lanqing Yang, Guangtao Xue

Abstract

Optically active substances such as sugars and amino acids are critical quality indicators in biomanufacturing and food safety, yet they typically coexist as multi-component mixtures. Existing monitoring techniques either require expensive instruments (e.g., HPLC) with per-sample costs and turnaround times ill-suited for online control, or rely on optical methods that cannot resolve individual component concentrations from a mixture. We present Polarix, a training-free polarimetric platform built from $100 in hardware that exploits a fundamental physical property: the specific optical rotation of each optically active substance varies with temperature at a distinct, substance-dependent rate. By sweeping the sample temperature across a bounded 15°C window, Polarix transforms the underdetermined problem into a solvable system, mathematically disentangling each component's concentration. Its optical design improves robustness against real-world disturbances including turbidity, flow, and mechanical drift. We validate Polarix on three real-world tasks: amino-acid fermentation tracking, trace byproduct detection, and honey adulteration screening against rice syrup and HFCS-55. Polarix resolves individual component concentrations with a mean relative error of 12.1%.

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