Dear Editor,In the accompanying Comment,Bratchenko et al.raised two concerns about the spectral data analysis pipeline employed for the Surface-enhanced Raman scattering and Artificial Intelligence for Cancer Screenin...Dear Editor,In the accompanying Comment,Bratchenko et al.raised two concerns about the spectral data analysis pipeline employed for the Surface-enhanced Raman scattering and Artificial Intelligence for Cancer Screening(SERS-AICS)technique in our original paper:(1)inappropriate accuracy presentation and(2)the use of a single data split for model evaluation.As a promising technique for molecular fingerprinting,SERS-basedearlycancerdetection approaches using biofluids and liquid biopsy are typically evaluated base stricty on theiracuray and elaility.展开更多
Label-free surface-enhanced Raman scattering(SERS)technique with ultra-sensitivity becomes more and more desirable in biomedical analysis,which is yet hindered by inefficient follow-up data analysis.Here we report an ...Label-free surface-enhanced Raman scattering(SERS)technique with ultra-sensitivity becomes more and more desirable in biomedical analysis,which is yet hindered by inefficient follow-up data analysis.Here we report an integrative method based on SERS and Artificial Intelligence for Cancer Screening(SERS-AICS)for liquid biopsy such as serum via silver nanowires,combining molecular vibrational signals processing with large-scale data mining algorithm.According to 382 healthy controls and 1582 patients from two independent cohorts,SERS-AICS not only distinguishes pan-cancer patients from health controls with 95.81% overall accuracy and 95.87% sensitivity at 95.40% specificity,but also screens out those samples at early cancer stage.The supereminent efficiency potentiates SERS-AICS a promising tool for detecting cancer with broader types at earlier stage,accompanying with the establishment of a data platform for further deep analysis.展开更多
Electrochemical water splitting is considered to be the most promising hydrogen production technology,but the sluggish kinetics and high energy consumption in the anodic oxygen evolution reaction limit the large-scale...Electrochemical water splitting is considered to be the most promising hydrogen production technology,but the sluggish kinetics and high energy consumption in the anodic oxygen evolution reaction limit the large-scale deployment of the technology.Coupling energy-efficient electrooxidation of biomassderived glycerol and cathodic hydrogen evolution reaction provides a promising strategy for improving the techno-economics of the water electrolysis technology.Herein,by dispersing transition metal elements with weak d-p coupling strength into the MnO_(2)lattice,the fine tuning of the bioctahedral d-p orbital in MnO_(2)is successfully realized,which greatly accelerates the hydrogen transfer in glycerol oxidation.In-situ Raman results confirmed that Ni–MnO_(2)could spontaneously activate glycerol molecules and drive hydrogen transfer to lattice oxygen sites,leading to the occurrence of successive phase transitions(α-MnO_(2)→Mn_(3)O_(4)→MnOOH).Density functional theory(DFT)calculations revealed that the incorporation of Ni broadened the d-orbital and regulated the distribution of p-orbitals near the oxygen Fermi level in the lattice,resulting in a relatively high empty orbital state to facilitate the hydrogen transfer process.The optimal Ni–MnO_(2)delivered a low potential of 1.16 V vs.RHE to reach 10 mA cm^(-2),a high FE of 99.7%for formate,and superior durability over 80 h.This work provides new insights into balancing the adsorption and activation of biomass molecules while casting a universal strategy for developing efficient biomass oxidation electrocatalysts.展开更多
文摘Dear Editor,In the accompanying Comment,Bratchenko et al.raised two concerns about the spectral data analysis pipeline employed for the Surface-enhanced Raman scattering and Artificial Intelligence for Cancer Screening(SERS-AICS)technique in our original paper:(1)inappropriate accuracy presentation and(2)the use of a single data split for model evaluation.As a promising technique for molecular fingerprinting,SERS-basedearlycancerdetection approaches using biofluids and liquid biopsy are typically evaluated base stricty on theiracuray and elaility.
基金supported by the National Natural Science Foundation of China(12025503,12102086)Science Fund for Creative Research Groups of the Natural Science Foundation of Hubei Province(No.2022CFA005)+3 种基金Experimental Technology project of Wuhan University(WHU-2021-SYJS-06)Sichuan Science and Technology Program(2021YJ0182)supported by the Fundamental Research Funds for the Central Universities(No.2042021kf0227,2042022kf1181)medical Sci-Tech innovation platform of Zhongnan Hospital(PTXM2021001).
文摘Label-free surface-enhanced Raman scattering(SERS)technique with ultra-sensitivity becomes more and more desirable in biomedical analysis,which is yet hindered by inefficient follow-up data analysis.Here we report an integrative method based on SERS and Artificial Intelligence for Cancer Screening(SERS-AICS)for liquid biopsy such as serum via silver nanowires,combining molecular vibrational signals processing with large-scale data mining algorithm.According to 382 healthy controls and 1582 patients from two independent cohorts,SERS-AICS not only distinguishes pan-cancer patients from health controls with 95.81% overall accuracy and 95.87% sensitivity at 95.40% specificity,but also screens out those samples at early cancer stage.The supereminent efficiency potentiates SERS-AICS a promising tool for detecting cancer with broader types at earlier stage,accompanying with the establishment of a data platform for further deep analysis.
基金supported by the National Natural Science Foundation of China(12025503,U23B2072,12305329)the China Postdoctoral Science Foundation(2024T170683)the Hubei Provincial Natural Science Foundation(2023AFB236)。
文摘Electrochemical water splitting is considered to be the most promising hydrogen production technology,but the sluggish kinetics and high energy consumption in the anodic oxygen evolution reaction limit the large-scale deployment of the technology.Coupling energy-efficient electrooxidation of biomassderived glycerol and cathodic hydrogen evolution reaction provides a promising strategy for improving the techno-economics of the water electrolysis technology.Herein,by dispersing transition metal elements with weak d-p coupling strength into the MnO_(2)lattice,the fine tuning of the bioctahedral d-p orbital in MnO_(2)is successfully realized,which greatly accelerates the hydrogen transfer in glycerol oxidation.In-situ Raman results confirmed that Ni–MnO_(2)could spontaneously activate glycerol molecules and drive hydrogen transfer to lattice oxygen sites,leading to the occurrence of successive phase transitions(α-MnO_(2)→Mn_(3)O_(4)→MnOOH).Density functional theory(DFT)calculations revealed that the incorporation of Ni broadened the d-orbital and regulated the distribution of p-orbitals near the oxygen Fermi level in the lattice,resulting in a relatively high empty orbital state to facilitate the hydrogen transfer process.The optimal Ni–MnO_(2)delivered a low potential of 1.16 V vs.RHE to reach 10 mA cm^(-2),a high FE of 99.7%for formate,and superior durability over 80 h.This work provides new insights into balancing the adsorption and activation of biomass molecules while casting a universal strategy for developing efficient biomass oxidation electrocatalysts.
