Exploring suitable high-capacity V_(2)O_(5)-based cathode materials is essential for the rapid advancement of aqueous zinc ion batteries(ZIBs).However,the typical problem of slow Zn^(2+)diffusion kinetics has severely...Exploring suitable high-capacity V_(2)O_(5)-based cathode materials is essential for the rapid advancement of aqueous zinc ion batteries(ZIBs).However,the typical problem of slow Zn^(2+)diffusion kinetics has severely limited the feasibility of such materials.In this work,unique hydrated vanadates(CaVO,BaVO)were obtained by intercalation of Ca^(2+)or Ba^(2+)into hydrated vanadium pentoxide.In the CaVO//Zn and BaVO//Zn batteries systems,the former delivered up to a 489.8 mAh g^(-1)discharge specific capacity at 0.1 A g^(-1).Moreover,the remarkable energy density of 370.07 Wh kg^(-1)and favorable cycling stability yard outperform BaVO,pure V_(2)O_(5),and many reported cathodes of similar ionic intercalation compounds.In addition,pseudocapacitance analysis,galvanostatic intermittent titration(GITT)tests,and Trasatti analysis revealed the high capacitance contribution and Zn^(2+)diffusion coefficient of CaVO,while an in-depth investigation based on EIS elucidated the reasons for the better electrochemical performance of CaVO.Notably,ex-situ XRD,XPS,and TEM tests further demonstrated the Zn^(2+)insertion/extraction and Zn-storage mechanism that occurred during the cycle in the CaVO//Zn battery system.This work provides new insights into the intercalation of similar divalent cations in vanadium oxides and offers new solutions for designing cathodes for high-capacity aqueous ZIBs.展开更多
Efficient portable wearable sweat sensors allow the long-term monitoring of changes in the status of biomarkers in sweat,which can be useful in diagnosis,medication,and nutritional assessment.In this study,we designed...Efficient portable wearable sweat sensors allow the long-term monitoring of changes in the status of biomarkers in sweat,which can be useful in diagnosis,medication,and nutritional assessment.In this study,we designed and tested a wireless,battery-free,flexible,self-pumping sweat-sensing system that simultaneously tracks levodopa and vitamin C levels in human sweat and detects body temperature.The system includes a microfluidic chip with a self-driven pump and anti-reflux valve,a flexible wireless circuit board,and a purpose-designed smartphone app.The microfluidic chip is used for the efficient collection of sweat and the drainage of excess sweat.The dual electrochemical sensing electrodes in the chip are modified with functional materials and appropriate enzymatic reagents,achieving excellent selectivity and stability.The sensitivities of the levodopa sensor and the vitamin C sensor are 0.0073 and 0.0018μA·μM^(-1),respectively,and the detection correlation coefficients of both exceed 0.99.Both sensors have a wide linear detection range of 0–100 and 0–1000μM,respectively,and low detection limits of 0.28 and 17.9μM,respectively.The flexible wireless circuit board is equipped with the functions of wireless charging,electrical signal capture and processing,and wireless transmission.The data recorded from each sensor are displayed on a smartphone via a self-developed app.A series of experimental results confirmed the reliability of the sweat-sensing system in noninvasively monitoring important biomarkers in the human body and its potential utility in the comprehensive assessment of biological health.展开更多
Senile plaque blue autofluorescence was discovered around 40 years ago,however,its impact on Alzheimer’s disease(AD)pathology has not been fully examined.We analyzed senile plaques with immunohistochemistry and fluor...Senile plaque blue autofluorescence was discovered around 40 years ago,however,its impact on Alzheimer’s disease(AD)pathology has not been fully examined.We analyzed senile plaques with immunohistochemistry and fluorescence imaging on AD brain sections and also Aβ aggregation in vitro.In DAPI or Hoechst staining,the nuclear blue fluorescence could only be correctly assigned after subtracting the blue plaque autofluorescence.The flower-like structures wrapping dense-core blue fluorescence formed by cathepsin D staining could not be considered central-nucleated neurons with defective lysosomes since there was no nuclear staining in the plaque core when the blue autofluorescence was subtracted.Both Aβ self-oligomers and Aβ/hemoglobin heterocomplexes generated blue autofluorescence.The Aβ amyloid blue autofluorescence not only labels senile plaques but also illustrates red cell aggregation,hemolysis,cerebral amyloid angiopathy,vascular plaques,vascular adhesions,and microaneurysms.In summary,we conclude that Aβ-aggregation-generated blue autofluorescence is an excellent multi-amyloidosis marker in Alzheimer’s disease.展开更多
Alzheimer’s disease is a multi-amyloidosis disease characterized by amyloid-βdeposits in brain blood vessels,microaneurysms,and senile plaques.How amyloid-βdeposition affects axon pathology has not been examined ex...Alzheimer’s disease is a multi-amyloidosis disease characterized by amyloid-βdeposits in brain blood vessels,microaneurysms,and senile plaques.How amyloid-βdeposition affects axon pathology has not been examined extensively.We used immunohistochemistry and immunofluorescence staining to analyze the forebrain tissue slices of Alzheimer’s disease patients.Widespread axonal amyloidosis with distinctive axonal enlargement was observed in patients with Alzheimer’s disease.On average,amyloid-β-positive axon diameters in Alzheimer’s disease brains were 1.72 times those of control brain axons.Furthermore,axonal amyloidosis was associated with microtubule-associated protein 2 reduction,tau phosphorylation,lysosome destabilization,and several blood-related markers,such as apolipoprotein E,alpha-hemoglobin,glycosylated hemoglobin type A1C,and hemin.Lysosome destabilization in Alzheimer’s disease was also clearly identified in the neuronal soma,where it was associated with the co-expression of amyloid-β,Cathepsin D,alpha-hemoglobin,actin alpha 2,and collagen type IV.This suggests that exogenous hemorrhagic protein intake influences neural lysosome stability.Additionally,the data showed that amyloid-β-containing lysosomes were 2.23 times larger than control lysosomes.Furthermore,under rare conditions,axonal breakages were observed,which likely resulted in Wallerian degeneration.In summary,axonal enlargement associated with amyloidosis,micro-bleeding,and lysosome destabilization is a major defect in patients with Alzheimer’s disease.This finding suggests that,in addition to the well-documented neural soma and synaptic damage,axonal damage is a key component of neuronal defects in Alzheimer’s disease.展开更多
In point-of-care testing(POCT),tests are performed near patients and results are given rapidly for timely clinical decisions.Immunodiagnostic assays are one of the most important analyses for detecting and quantifying...In point-of-care testing(POCT),tests are performed near patients and results are given rapidly for timely clinical decisions.Immunodiagnostic assays are one of the most important analyses for detecting and quantifying protein-based biomarkers.However,existing POCT immunodiagnostics mainly rely on the lateral flow assay(LFA),which has limited sensitivity or quantification capability.Although other immunodiagnostic assays,such as enzyme-linked immunosorbent assays(ELISAs),offer more sensitive and quantitative results,they require complex liquid manipulations that are difficult to implement in POCT settings by conventional means.Here,we show the development of DropLab,an automated sample-in-answer-out POCT immunodiagnostic platform based on magnetic digital microfluidic(MDM)technology.DropLab performs microbead-based ELISA in droplets to offer more sensitive and quantitative testing results.The intricate liquid manipulations required for ELISA are accomplished by controlling droplets with magnetic microbeads using MDM technology,which enables us to achieve full automation and easy operations with DropLab.Four ELISAs(the sample in triplicates and a negative control)can be run in parallel on the thermoformed disposable chip,which greatly improves the throughput and accuracy compared to those of other POCT immunodiagnostic devices.DropLab was validated by measuring two protein targets and one antibody target.The testing results showed that the limit of detection(LOD)of DropLab matched that of the conventional ELISA in a microwell plate.DropLab brings MDM one step closer to being a viable medical technology that is ready for real-world POCT applications.展开更多
Artificial optical microfingerprints,known as physically unclonable functions(PUFs)offer a groundbreaking approach for anti-counterfeiting.However,these PUFs artificial optical microfingerprints suffer from a limited ...Artificial optical microfingerprints,known as physically unclonable functions(PUFs)offer a groundbreaking approach for anti-counterfeiting.However,these PUFs artificial optical microfingerprints suffer from a limited number of challenge-response pairs,making them vulnerable to machine learning(ML)attacks when additional error-correcting units are introduced.This study presents a pioneering demonstration of artificial optical microfingerprints that combine the advantages of PUFs,a large encoding capacity algorithm,and reliable deep learning authentication against ML attacks.Our approach utilizes the triple-mode PUFs,incorporating bright-field,multicolor fluorescence wrinkles,and the topography of surface enhanced Raman scattering in the mechanical and optical layers.Notably,the quaternary encoding of these PUFs artificial microfingerprints allows for an encoding capacity of 6.43×10^(24082) and achieves 100%deep learning recognition accuracy.Furthermore,the PUFs artificial optical microfingerprints exhibit high resilience against ML attacks,facilitated by generative adversarial networks(GAN)(with mean prediction accuracy of~85.0%).The results of this study highlight the potential of utilizing up to three PUFs in conjunction with a GAN training system,paving the way for achieving encoded information that remains resilient to ML attacks.展开更多
Quantum resources offer intrinsic randomness that is valuable for applications such as cryptography, scientific simulation, and computing. Silicon-based photonics chips present an excellent platform for the cost-effec...Quantum resources offer intrinsic randomness that is valuable for applications such as cryptography, scientific simulation, and computing. Silicon-based photonics chips present an excellent platform for the cost-effective deployment of next-generation quantum systems on a large scale, even at room temperature. Nevertheless,the potential susceptibility of these chips to hacker control poses a challenge in ensuring security for on-chip quantum random number generation, which is crucial for enabling extensive utilization of quantum resources.展开更多
Gastric cancer (GC) is one of the commonestcancers with high morbidity and mortality in the world.How to realize precise diagnosis and therapy of GC ownsgreat clinical requirement. In recent years, artificial intellig...Gastric cancer (GC) is one of the commonestcancers with high morbidity and mortality in the world.How to realize precise diagnosis and therapy of GC ownsgreat clinical requirement. In recent years, artificial intelligence (AI) has been actively explored to apply to earlydiagnosis and treatment and prognosis of gastric carcinoma. Herein, we review recent advance of AI in earlyscreening, diagnosis, therapy and prognosis of stomachcarcinoma. Especially AI combined with breath screeningearly GC system improved 97.4 % of early GC diagnosisratio, AI model on stomach cancer diagnosis system of salivabiomarkers obtained an overall accuracy of 97.18 %, speci-ficity of 97.44 %, and sensitivity of 96.88 %. We also discussconcept, issues, approaches and challenges of AI applied instomach cancer. This review provides a comprehensive viewand roadmap for readers working in this field, with the aimof pushing application of AI in theranostics of stomachcancer to increase the early discovery ratio and curativeratio of GC patients.展开更多
In this research,we design and implement a small,convenient,and noninvasive paper-based microfluidic sweat sensor that can simultaneously detect multiple key biomarkers in human sweat.The origami structure of the chip...In this research,we design and implement a small,convenient,and noninvasive paper-based microfluidic sweat sensor that can simultaneously detect multiple key biomarkers in human sweat.The origami structure of the chip includes colorimetric and electrochemical sensing regions.Different colorimetric sensing regions are modified with specific chromogenic reagents to selectively identify glucose,lactate,uric acid,and magnesium ions in sweat,as well as the pH value.The regions of electrochemical sensing detect cortisol in sweat by molecular imprinting.The entire chip is composed of hydrophilically and hydrophobically treated filter paper,and 3D microfluidic channels are constructed by using folding paper.The thread-based channels formed after the hydrophilic and hydrophobic modifications are used to control the rate of sweat flow,which in turn can be used to control the sequence of reactions in the differently developing colored regions to ensure that signals of the best color can be captured simultaneously by the colorimetric sensing regions.Finally,the results of on-body experiments verify the reliability of the proposed sweat sensor and its potential for the noninvasive identification of a variety of sweat biomarkers.展开更多
1.Introduction Due to the severe toxicity of heavy metal ions,human health and eco-system are threatened even at ultra-low concentrations[1].Specially,Pb^(2+)arouses more significant concern as its bio-accumulation se...1.Introduction Due to the severe toxicity of heavy metal ions,human health and eco-system are threatened even at ultra-low concentrations[1].Specially,Pb^(2+)arouses more significant concern as its bio-accumulation seriously affects brain development,reproductive systems,and cardiovascular function,consequently resulting in an irreversible damage.According to World Health Organization(WHO),the maximum allowable Pb^(2+)con-centration on the surface water should be<0.01 mg/L.Thus,consid-ering such deleterious and carcinogenic effects,the Pb^(2+)amount should be monitored to guarantee the water environment safety.Conventional methods always need complicate pretreatment.展开更多
基金the financial support from the National Key Research and Development Program of China(2022YFA1207503)the Giga Force Electronics Interdisciplinary Funding(JJHXM002208-2023)。
文摘Exploring suitable high-capacity V_(2)O_(5)-based cathode materials is essential for the rapid advancement of aqueous zinc ion batteries(ZIBs).However,the typical problem of slow Zn^(2+)diffusion kinetics has severely limited the feasibility of such materials.In this work,unique hydrated vanadates(CaVO,BaVO)were obtained by intercalation of Ca^(2+)or Ba^(2+)into hydrated vanadium pentoxide.In the CaVO//Zn and BaVO//Zn batteries systems,the former delivered up to a 489.8 mAh g^(-1)discharge specific capacity at 0.1 A g^(-1).Moreover,the remarkable energy density of 370.07 Wh kg^(-1)and favorable cycling stability yard outperform BaVO,pure V_(2)O_(5),and many reported cathodes of similar ionic intercalation compounds.In addition,pseudocapacitance analysis,galvanostatic intermittent titration(GITT)tests,and Trasatti analysis revealed the high capacitance contribution and Zn^(2+)diffusion coefficient of CaVO,while an in-depth investigation based on EIS elucidated the reasons for the better electrochemical performance of CaVO.Notably,ex-situ XRD,XPS,and TEM tests further demonstrated the Zn^(2+)insertion/extraction and Zn-storage mechanism that occurred during the cycle in the CaVO//Zn battery system.This work provides new insights into the intercalation of similar divalent cations in vanadium oxides and offers new solutions for designing cathodes for high-capacity aqueous ZIBs.
基金supported by the National Natural Science Foundation of China(No.32171373)the Projects of International Cooperation and Exchanges NSFC(No.82020108017)+1 种基金the Natural Science Foundation of Shanghai(No.23ZR1414500)the Medical Engineering Cross Project of SJTU(No.YG2021QN141).
文摘Efficient portable wearable sweat sensors allow the long-term monitoring of changes in the status of biomarkers in sweat,which can be useful in diagnosis,medication,and nutritional assessment.In this study,we designed and tested a wireless,battery-free,flexible,self-pumping sweat-sensing system that simultaneously tracks levodopa and vitamin C levels in human sweat and detects body temperature.The system includes a microfluidic chip with a self-driven pump and anti-reflux valve,a flexible wireless circuit board,and a purpose-designed smartphone app.The microfluidic chip is used for the efficient collection of sweat and the drainage of excess sweat.The dual electrochemical sensing electrodes in the chip are modified with functional materials and appropriate enzymatic reagents,achieving excellent selectivity and stability.The sensitivities of the levodopa sensor and the vitamin C sensor are 0.0073 and 0.0018μA·μM^(-1),respectively,and the detection correlation coefficients of both exceed 0.99.Both sensors have a wide linear detection range of 0–100 and 0–1000μM,respectively,and low detection limits of 0.28 and 17.9μM,respectively.The flexible wireless circuit board is equipped with the functions of wireless charging,electrical signal capture and processing,and wireless transmission.The data recorded from each sensor are displayed on a smartphone via a self-developed app.A series of experimental results confirmed the reliability of the sweat-sensing system in noninvasively monitoring important biomarkers in the human body and its potential utility in the comprehensive assessment of biological health.
基金supported by the National Natural Science Foundation of China(81472235)the Shanghai Jiao Tong University Medical and Engineering Project(YG2021QN53,YG2017MS71)+1 种基金the International Cooperation Project of National Natural Science Foundation of China(82020108017)the Innovation Group Project of National Natural Science Foundation of China(81921002).
文摘Senile plaque blue autofluorescence was discovered around 40 years ago,however,its impact on Alzheimer’s disease(AD)pathology has not been fully examined.We analyzed senile plaques with immunohistochemistry and fluorescence imaging on AD brain sections and also Aβ aggregation in vitro.In DAPI or Hoechst staining,the nuclear blue fluorescence could only be correctly assigned after subtracting the blue plaque autofluorescence.The flower-like structures wrapping dense-core blue fluorescence formed by cathepsin D staining could not be considered central-nucleated neurons with defective lysosomes since there was no nuclear staining in the plaque core when the blue autofluorescence was subtracted.Both Aβ self-oligomers and Aβ/hemoglobin heterocomplexes generated blue autofluorescence.The Aβ amyloid blue autofluorescence not only labels senile plaques but also illustrates red cell aggregation,hemolysis,cerebral amyloid angiopathy,vascular plaques,vascular adhesions,and microaneurysms.In summary,we conclude that Aβ-aggregation-generated blue autofluorescence is an excellent multi-amyloidosis marker in Alzheimer’s disease.
基金supported by the National Natural Science Foundation of China,No.81472235(to HF)the Shanghai Jiao Tong University Medical and Engineering Project,Nos.YG2021QN53(to HF),YG2017MS71(to HF)+1 种基金the International Cooperation Project of the National Natural Science Foundation of China,No.82020108017(to DC)the Innovation Group Project of the National Natural Science Foundation of China,No.81921002(to DC).
文摘Alzheimer’s disease is a multi-amyloidosis disease characterized by amyloid-βdeposits in brain blood vessels,microaneurysms,and senile plaques.How amyloid-βdeposition affects axon pathology has not been examined extensively.We used immunohistochemistry and immunofluorescence staining to analyze the forebrain tissue slices of Alzheimer’s disease patients.Widespread axonal amyloidosis with distinctive axonal enlargement was observed in patients with Alzheimer’s disease.On average,amyloid-β-positive axon diameters in Alzheimer’s disease brains were 1.72 times those of control brain axons.Furthermore,axonal amyloidosis was associated with microtubule-associated protein 2 reduction,tau phosphorylation,lysosome destabilization,and several blood-related markers,such as apolipoprotein E,alpha-hemoglobin,glycosylated hemoglobin type A1C,and hemin.Lysosome destabilization in Alzheimer’s disease was also clearly identified in the neuronal soma,where it was associated with the co-expression of amyloid-β,Cathepsin D,alpha-hemoglobin,actin alpha 2,and collagen type IV.This suggests that exogenous hemorrhagic protein intake influences neural lysosome stability.Additionally,the data showed that amyloid-β-containing lysosomes were 2.23 times larger than control lysosomes.Furthermore,under rare conditions,axonal breakages were observed,which likely resulted in Wallerian degeneration.In summary,axonal enlargement associated with amyloidosis,micro-bleeding,and lysosome destabilization is a major defect in patients with Alzheimer’s disease.This finding suggests that,in addition to the well-documented neural soma and synaptic damage,axonal damage is a key component of neuronal defects in Alzheimer’s disease.
文摘In point-of-care testing(POCT),tests are performed near patients and results are given rapidly for timely clinical decisions.Immunodiagnostic assays are one of the most important analyses for detecting and quantifying protein-based biomarkers.However,existing POCT immunodiagnostics mainly rely on the lateral flow assay(LFA),which has limited sensitivity or quantification capability.Although other immunodiagnostic assays,such as enzyme-linked immunosorbent assays(ELISAs),offer more sensitive and quantitative results,they require complex liquid manipulations that are difficult to implement in POCT settings by conventional means.Here,we show the development of DropLab,an automated sample-in-answer-out POCT immunodiagnostic platform based on magnetic digital microfluidic(MDM)technology.DropLab performs microbead-based ELISA in droplets to offer more sensitive and quantitative testing results.The intricate liquid manipulations required for ELISA are accomplished by controlling droplets with magnetic microbeads using MDM technology,which enables us to achieve full automation and easy operations with DropLab.Four ELISAs(the sample in triplicates and a negative control)can be run in parallel on the thermoformed disposable chip,which greatly improves the throughput and accuracy compared to those of other POCT immunodiagnostic devices.DropLab was validated by measuring two protein targets and one antibody target.The testing results showed that the limit of detection(LOD)of DropLab matched that of the conventional ELISA in a microwell plate.DropLab brings MDM one step closer to being a viable medical technology that is ready for real-world POCT applications.
基金support from the National Natural Science Foundation of China(Nos.21825402,22204116,22074101)the Natural Science Foundation of Jiangsu Province of China(Nos.BK20191417,BK20200851)+1 种基金the Program for Jiangsu Specially Appointed Professors to Prof.Y.H.,a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)the 111 Project and the Collaborative Innovation Center of Suzhou Nano Science and Technology(NANO-CIC).
文摘Artificial optical microfingerprints,known as physically unclonable functions(PUFs)offer a groundbreaking approach for anti-counterfeiting.However,these PUFs artificial optical microfingerprints suffer from a limited number of challenge-response pairs,making them vulnerable to machine learning(ML)attacks when additional error-correcting units are introduced.This study presents a pioneering demonstration of artificial optical microfingerprints that combine the advantages of PUFs,a large encoding capacity algorithm,and reliable deep learning authentication against ML attacks.Our approach utilizes the triple-mode PUFs,incorporating bright-field,multicolor fluorescence wrinkles,and the topography of surface enhanced Raman scattering in the mechanical and optical layers.Notably,the quaternary encoding of these PUFs artificial microfingerprints allows for an encoding capacity of 6.43×10^(24082) and achieves 100%deep learning recognition accuracy.Furthermore,the PUFs artificial optical microfingerprints exhibit high resilience against ML attacks,facilitated by generative adversarial networks(GAN)(with mean prediction accuracy of~85.0%).The results of this study highlight the potential of utilizing up to three PUFs in conjunction with a GAN training system,paving the way for achieving encoded information that remains resilient to ML attacks.
基金Key RD Program of Guangdong Province(2020B030304002)Shanghai Municipal Science and Technology Major Project (2019SHZDZX01)+1 种基金National Natural Science Foundation of China (61971276, 62101320)Innovation Program for Quantum Science and Technology(2021ZD0300703)。
文摘Quantum resources offer intrinsic randomness that is valuable for applications such as cryptography, scientific simulation, and computing. Silicon-based photonics chips present an excellent platform for the cost-effective deployment of next-generation quantum systems on a large scale, even at room temperature. Nevertheless,the potential susceptibility of these chips to hacker control poses a challenge in ensuring security for on-chip quantum random number generation, which is crucial for enabling extensive utilization of quantum resources.
基金the National Key Research and Development Program of China(Grant No.2017YFA0205301 and 2017YFA0205304)National Natural Science Foundation of China(Grant No.82073380,81921002,82020108017)+2 种基金National Postdoctoral Program for Innovative Talents(Grant No.BX20190205)China Postdoctoral Science Foundation(Grant No.2020M671130)Projects of Shanghai Science and Technology Commission(21DZ2203200,and No.20142201300)。
文摘Gastric cancer (GC) is one of the commonestcancers with high morbidity and mortality in the world.How to realize precise diagnosis and therapy of GC ownsgreat clinical requirement. In recent years, artificial intelligence (AI) has been actively explored to apply to earlydiagnosis and treatment and prognosis of gastric carcinoma. Herein, we review recent advance of AI in earlyscreening, diagnosis, therapy and prognosis of stomachcarcinoma. Especially AI combined with breath screeningearly GC system improved 97.4 % of early GC diagnosisratio, AI model on stomach cancer diagnosis system of salivabiomarkers obtained an overall accuracy of 97.18 %, speci-ficity of 97.44 %, and sensitivity of 96.88 %. We also discussconcept, issues, approaches and challenges of AI applied instomach cancer. This review provides a comprehensive viewand roadmap for readers working in this field, with the aimof pushing application of AI in theranostics of stomachcancer to increase the early discovery ratio and curativeratio of GC patients.
基金National Natural Science Foundation of China(Grant No.32171373)the Medical Engineering Cross Project of SJTU(Nos.YG2019QNB09 and YG2021QN141).
文摘In this research,we design and implement a small,convenient,and noninvasive paper-based microfluidic sweat sensor that can simultaneously detect multiple key biomarkers in human sweat.The origami structure of the chip includes colorimetric and electrochemical sensing regions.Different colorimetric sensing regions are modified with specific chromogenic reagents to selectively identify glucose,lactate,uric acid,and magnesium ions in sweat,as well as the pH value.The regions of electrochemical sensing detect cortisol in sweat by molecular imprinting.The entire chip is composed of hydrophilically and hydrophobically treated filter paper,and 3D microfluidic channels are constructed by using folding paper.The thread-based channels formed after the hydrophilic and hydrophobic modifications are used to control the rate of sweat flow,which in turn can be used to control the sequence of reactions in the differently developing colored regions to ensure that signals of the best color can be captured simultaneously by the colorimetric sensing regions.Finally,the results of on-body experiments verify the reliability of the proposed sweat sensor and its potential for the noninvasive identification of a variety of sweat biomarkers.
基金supported by grants from the Major Program of the National Natural Science Foundation of China(No.21590813)the National Natural Science Foundation of China(No.22006039,52100128,22122807)+4 种基金the Key Project of the National Ministry of Science and Technology(No.2016YFCU204204)the Natural Science Foundation of Shandong Province(No.ZR2020QB141)the Natural Science Foundation of Shanghai(No.21ZR1425700)the China Postdoctoral Science Foundation(No.2019M661412)supported by Supercomputing Center of Dalian University of Technology.
文摘1.Introduction Due to the severe toxicity of heavy metal ions,human health and eco-system are threatened even at ultra-low concentrations[1].Specially,Pb^(2+)arouses more significant concern as its bio-accumulation seriously affects brain development,reproductive systems,and cardiovascular function,consequently resulting in an irreversible damage.According to World Health Organization(WHO),the maximum allowable Pb^(2+)con-centration on the surface water should be<0.01 mg/L.Thus,consid-ering such deleterious and carcinogenic effects,the Pb^(2+)amount should be monitored to guarantee the water environment safety.Conventional methods always need complicate pretreatment.
