The ability to accurately identify and isolate cells is the cornerstone of precise disease diagnosis and therapies. A single-step cell identification method based on logic analysis of multiple surface markers will have unique advantages because of its accuracy and efficacy. Herein, using multiple DNA aptamers for cancer biomarker recognition and associative toehold activation for signal integration and amplification as two molecular keys, we have successfully operated a cell-surface device that can perform AND Boolean logic analysis of multiple biomarkers and precisely label the target cell subtype in large populations of similar cells via the presence or absence of different biomarkers. Our approach can achieve single-step cancer cell identification and isolation with excellent sensitivity and accuracy and thus will have broad applications in biological science, biomedical engineering, and personalized medicine.

Covalent organic frameworks (COFs) hold great promise in molecular separations owing to their robust, ordered and tunable porous network structures. Currently, the pore size of COFs is usually much larger than most small molecules. Meanwhile, the weak interlamellar interaction between COF nanosheets impedes the preparation of defect-free membranes. Herein, we report a series of COF membranes through a mixed-dimensional assembly of 2D COF nanosheets and 1D cellulose nanofibers (CNFs). The pore size of 0.45–1.0 nm is acquired from the sheltering effect of CNFs, rendering membranes precise molecular sieving ability, besides the multiple interactions between COFs and CNFs elevate membrane stability. Accordingly, the membranes exhibit a flux of 8.53 kg m −2 h −1 with a separation factor of 3876 for n-butanol dehydration, and high permeance of 42.8 L m −2 h −1 bar −1 with a rejection of 96.8% for Na 2 SO 4 removal. Our mixed-dimensional design may inspire the fabrication and application of COF membranes.

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