An Alloy Platform of Dual‐Fingerprints for High‐Performance Stroke Screening

Abstract

A multi‐modal serum profiling platform holds promise for precision diagnosis of diseases. Still, advanced tools are in demand to deliver the multi‐modal serum profiling. Herein, a bimodal spectrometric protocol is designed for stoke serum profiling using an alloy platform, by integrating label‐free surface‐enhanced Raman spectroscopy (SERS) and laser desorption/ionization mass spectrometry (LDI‐MS). The PdAu@Au concave cube with a wide localized surface plasmonic resonance (LSPR) range simultaneously enhances the signals from SERS and LDI‐MS, enabling high‐throughput co‐detection of vibrational and metabolic fingerprints of 0.1 µL serum in 2 min with simple pretreatment. Further, a dual‐fingerprints screening model of stroke is constructed, by adaptive machine learning with a programming nonlinear fitting model. The area under the curve are 0.949 (0.917–0.977, 95% confidence interval (CI)) and 0.911 (0.812–0.984, 95% CI), in the discovery and validation cohorts, respectively. Finally, five metabolites are identified that correlated to SERS signals and mapped the relevant pathways. This study features high performance in terms of throughput, speed, sample volume, and accuracy, providing new insight into the construction of multiplexed characterization platforms for precision diagnostic.

Advanced mass spectrometric and spectroscopic methods coupled with machine learning for in vitro diagnosis

“…Single‐modal data of SERS and LDI‐MS were performed using the RF and LASSO, respectively. This work demonstrated the emerging role of a highly efficient multi‐modal serum profiling platform in precision medicine 138 . Han et al.…”

“…This work demonstrated the emerging role of a highly efficient multi-modal serum profiling platform in precision medicine. 138 Han et al integrated SERS and MALDI-MS for rapid identification of osteosarcoma. They used PCA to divide fused data into two groups and then built a classification modal by PLS-DA using all the training data to discriminate the osteosarcoma patients from the healthy controls.…”

Hollow multishelled heterostructures with enhanced performance for laser desorption/ionization mass spectrometry based metabolic diagnosis

“…Hepatocellular carcinoma serum samples were collected from patients who were diagnosed. As previously reported, 34 serum samples were prepared from the blood for LDI-MS analysis. The bio-samples were stored at À80 1C before use.…”

Designed Concave Octahedron Heterostructures Decode Distinct Metabolic Patterns of Epithelial Ovarian Tumors

“…Rational design in composition and structure of the matrix has been proven as an effective strategy to induce synergistic desorption/ionization (D/I) enhancement. [ 8c,11 ] Compared with noble metal, [ 9a,c,12 ] carbon, [ 13 ] and silicon [ 14 ] composition, metal oxide has been a preferred matrix species considering its adjustable physical effects for function engineering and low costs for mass production aimed at large‐scale clinical use. [ 8a,15 ] Physical effects, including but not limited to heterojunction, hollow interior, sharp corners, and surface roughness, would endow a matrix with enhanced D/I efficiency through improved thermal and charge transfer, and size‐exclusive effect.…”