State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and challenging.Most of existing estimations are based on a fixed constant current charging and discharging aging pro...State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and challenging.Most of existing estimations are based on a fixed constant current charging and discharging aging profiles,which overlooked the fact that the charging and discharging profiles are random and not complete in real application.This work investigates the influence of feature engineering on the accuracy of different machine learning(ML)-based SOH estimations acting on different recharging sub-profiles where a realistic battery mission profile is considered.Fifteen features were extracted from the battery partial recharging profiles,considering different factors such as starting voltage values,charge amount,and charging sliding windows.Then,features were selected based on a feature selection pipeline consisting of filtering and supervised ML-based subset selection.Multiple linear regression(MLR),Gaussian process regression(GPR),and support vector regression(SVR)were applied to estimate SOH,and root mean square error(RMSE)was used to evaluate and compare the estimation performance.The results showed that the feature selection pipeline can improve SOH estimation accuracy by 55.05%,2.57%,and 2.82%for MLR,GPR and SVR respectively.It was demonstrated that the estimation based on partial charging profiles with lower starting voltage,large charge,and large sliding window size is more likely to achieve higher accuracy.This work hopes to give some insights into the supervised ML-based feature engineering acting on random partial recharges on SOH estimation performance and tries to fill the gap of effective SOH estimation between theoretical study and real dynamic application.展开更多
Ni-rich cathode materials are essential for enhancing the performance of lithium-ion batteries(LIBs)in electric vehicles(EVs),particularly concerning extreme fast charging(XFC)and durability.While much of studies shin...Ni-rich cathode materials are essential for enhancing the performance of lithium-ion batteries(LIBs)in electric vehicles(EVs),particularly concerning extreme fast charging(XFC)and durability.While much of studies shine a spotlight on Li plating on the anode to improve rate capability,there is a critical lack of studies addressing the combination of kinetic improvements and mechanical strength of cathode materials under XFC conditions.In this work,Mg/Ti co-doped Ni-rich LiNi_(0.88)Co_(0.09)Mn_(0.03)O_(2)(MT-NCM)was successfully synthesized to address structural challenges associated with high-rate cycling.The results demonstrate that the stronger Ti–O bond contributes to the enhanced mechanical strength of secondary grains,which effectively alleviates microcrack formation during fast charging.Additionally,the detrimental phase transitions and internal strain as well as parasitic reactions of MT-NCM are significantly suppressed due to the synergistic effect of the dual dopants,ensuring excellent Li-ion transport kinetics compared to pristine NCM(P-NCM).Consequently,MT-NCM achieves remarkable high-rate cycling performance,retaining 88.04%of its initial capacity at 5 C and superior discharge capacity over 175 mA h g^(−1)even at 10 C.This work highlights the potential of optimizing the kinetic-mechanical properties of Ni-rich cathodes,providing a viable approach for the development of XFC LIBs with improved durability for EV applications.展开更多
Lithium-ion batteries are the most widely used energy storage devices,for which the accurate prediction of the remaining useful life(RUL)is crucial to their reliable operation and accident prevention.This work thoroug...Lithium-ion batteries are the most widely used energy storage devices,for which the accurate prediction of the remaining useful life(RUL)is crucial to their reliable operation and accident prevention.This work thoroughly investigates the developmental trend of RUL prediction with machine learning(ML)algorithms based on the objective screening and statistics of related papers over the past decade to analyze the research core and find future improvement directions.The possibility of extending lithium-ion battery lifetime using RUL prediction results is also explored in this paper.The ten most used ML algorithms for RUL prediction are first identified in 380 relevant papers.Then the general flow of RUL prediction and an in-depth introduction to the four most used signal pre-processing techniques in RUL prediction are presented.The research core of common ML algorithms is given first time in a uniform format in chronological order.The algorithms are also compared from aspects of accuracy and characteristics comprehensively,and the novel and general improvement directions or opportunities including improvement in early prediction,local regeneration modeling,physical information fusion,generalized transfer learning,and hardware implementation are further outlooked.Finally,the methods of battery lifetime extension are summarized,and the feasibility of using RUL as an indicator for extending battery lifetime is outlooked.Battery lifetime can be extended by optimizing the charging profile serval times according to the accurate RUL prediction results online in the future.This paper aims to give inspiration to the future improvement of ML algorithms in battery RUL prediction and lifetime extension strategy.展开更多
More and more people concern about supplementing dietary food with wheat bran to increase fibre content,but there has been little study of the sorption isotherms and isosteric heats of wheat bran fibre products,which ...More and more people concern about supplementing dietary food with wheat bran to increase fibre content,but there has been little study of the sorption isotherms and isosteric heats of wheat bran fibre products,which are important to the quality and storage durability of such commodities.This study collected equilibrium moisture content(EMC)and equilibrium relative humidity(ERH)data on six Chinese wheat bran products via the static gravimetric method and analysed their sorption isosteric heats.Results showed that all six wheat bran products had sigmoidal isotherms.The data were best fitted by polynomial,modified GAB,modified Oswin,and modified Halsey models.The relative safe moisture contents of the six wheat bran products were 12.20%–13.86%wet basis(w.b.).The heat of vaporization of wheat bran products approached the latent heat of pure water at around a moisture content(MC)of 22.5%and approximately 2450 kJ/kg.A process of extrusion and ultrafine grinding reduced the solid surface area and sorption isosteric heats of the monolayer,multilayer and condensed water regions in the wheat bran products.In the temperature range of 10–37℃,the EMC of sorption in monolayer,multilayer and condensed water regions decreased with increasing temperature.The milled rice to which 1%–3%200-mesh wheat bran product was added maintained its texture when made into cooked rice and its thermomechanical properties when made into rice dough.After processing by extrusion and ultrafine grinding,wheat bran products have a lower solid surface area and lower monolayer water content(Mm)and sorption isosteric heat values.Some 3%200-mesh wheat bran product can be added to cooked rice for increasing its fibre content and making it more nutritious.展开更多
Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a cr...Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a critical and challenging task in real application. To enhance the robustness of diagnosis and achieve a more thorough evaluation of diagnostic performance, a robust diagnostic procedure based on electrochemical impedance spectroscopy (EIS) and a new method for evaluation of the diagnosis robustness was proposed and investigated in this work. To improve the diagnosis robustness: (1) the degradation mechanism of different faults in the high temperature PEM fuel cell was first analyzed via the distribution of relaxation time of EIS to determine the equivalent circuit model (ECM) with better interpretability, simplicity and accuracy;(2) the feature extraction was implemented on the identified parameters of the ECM and extra attention was paid to distinguishing between the long-term normal degradation and other faults;(3) a Siamese Network was adopted to get features with higher robustness in a new embedding. The diagnosis was conducted using 6 classic classification algorithms—support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), random forest (RF), and Naive Bayes employing a dataset comprising a total of 1935 collected EIS. To evaluate the robustness of trained models: (1) different levels of errors were added to the features for performance evaluation;(2) a robustness coefficient (Roubust_C) was defined for a quantified and explicit evaluation of the diagnosis robustness. The diagnostic models employing the proposed feature extraction method can not only achieve the higher performance of around 100% but also higher robustness for diagnosis models. Despite the initial performance being similar, the KNN demonstrated a superior robustness after feature selection and re-embedding by triplet-loss method, which suggests the necessity of robustness evaluation for the machine learning models and the effectiveness of the defined robustness coefficient. This work hopes to give new insights to the robust diagnosis of high temperature PEM fuel cells and more comprehensive performance evaluation of the data-driven method for diagnostic application.展开更多
Multicolor circularly polarized luminescence(CPL)materials show considerable potential in the field of advanced anticounterfeiting.However,it remains challenging to achieve stable inorganic materials with multicolor C...Multicolor circularly polarized luminescence(CPL)materials show considerable potential in the field of advanced anticounterfeiting.However,it remains challenging to achieve stable inorganic materials with multicolor CPL.In this work,for the first time,chiroptical rare earth(RE)fluoride nanoparticles induced by helical silica are obtained through a facile in situ assembly strategy.The influence of assembly ratio and morphological structure on the luminescence dissymmetry factor(glum)has been systematically investigated,leading to an optimized glum value of 4.7×10^(-3).By adjusting the types and concentrations of RE dopants(Ce^(3+),Tb^(3+),Eu^(3+)),the nanocomposites exhibit multicolor CPL and time-resolved photoluminescence characteristics.Remarkably,these nanocomposites retain their CPL activity even after calcination at 400◦C.Leveraging the visible multicolor emissions,along with the hidden dynamic and chiroptical signals,the nanocomposites are successfully applied in high-security anti-counterfeiting patterns and multilevel optical encryption codes.展开更多
Photothermal lanthanide nanomaterials with unique photophysical properties have been innovatively explored for diagnostics and non‐invasive therapies,and hold great promise for precision theranostics.In this review,w...Photothermal lanthanide nanomaterials with unique photophysical properties have been innovatively explored for diagnostics and non‐invasive therapies,and hold great promise for precision theranostics.In this review,we start from the basic principles of excited‐state dynamics and provide a thorough comprehension of the main pathways for photothermal conversion in lanthanide nanocrystals.Aspects influencing the photothermal effect such as lanthanide‐doping concentration,particle size,and crystal structure have been fully discussed.Hybrid strategies for the design of efficient lanthanide‐based photothermal agents,including dye sensitization to break the absorption limit and semiconductor combination to add cross‐relaxation pathways,have also been summarized.Furthermore,we highlight the cutting‐edge applica-tions of photothermal lanthanide nanoplatforms with optical diagnosis and temperature feedback in photothermia‐associated theranostics.Lastly,the current challenges and future efforts for clinical applications are proposed.This review is expected to offer a better understanding of photothermal mechanisms and inspire efforts for designing versatile lanthanide theranostic nanoplatforms.展开更多
Multiplexed intracellular detection is desirable in biomedical sciences for its higher eficiency and accuracy compared to the single-analyte detection.However,it is very challenging to construct nanoprobes that posses...Multiplexed intracellular detection is desirable in biomedical sciences for its higher eficiency and accuracy compared to the single-analyte detection.However,it is very challenging to construct nanoprobes that possess multiple fluorescent signals to recognize the different intracellular species synchronously.Herein,we proposed a novel dual-excitation/dual-emission upconversion strategy for multiplexed detection through the design of upconversion nanoparticles(UCNP)loaded with two dyes for sensitization and quenching of the upconversion luminescence(UCL),respectively.Based on the two independent energy transfer processes of near-infrared(NIR)dye IR845 to UCNP and UCNP to visible dye PAPS-Zn,CIO-and Zn2+were simultaneously detected with a limit of detection(LOD)of41.4 and 10.5 nM,respectively.By tilizing a purpose built 830/980 nm dual-laser confocal microscope,both intrinsic and exogenous CIO and Zn2+in live MCF-7 cells have been accurately quantified.Such dual-excitation/dual-emission ratiometric UCL detection mode enables not only monitoring multiple intracellular analytes but also eliminating the detection deviation caused by inhomogeneous probe distribution in cells.Through modulation of NIR dye and visible dye with other reactive groups,the nanoprobes can be extended to analyze various intraellular species,which provides a promising tool to study the biological activities in live cells and diagnose diseases.展开更多
Rattle structure is a topic of great interest in design and application of nano- materials due to the unique core@void@shell architecture and the integration of functions. Herein, we developed a novel ＂ship-in-a-bot...Rattle structure is a topic of great interest in design and application of nano- materials due to the unique core@void@shell architecture and the integration of functions. Herein, we developed a novel ＂ship-in-a-bottle＂ method to fabricate upconverting （UC） luminescent nanorattles by incorporating lanthanide-doped fluorides into hollow mesoporous silica. The size of nanorattles and the filling amount of fluorides can be well controlled. In addition, the modification of silica shell （with phenylene and amine groups） and the variation of efficient UC fluorides （NaYF4：Yb, Er, NaLuF4：Yb, Er, NaGdF4：Yb, Er and LiYF4：Yb, Er） were readily achieved. The resulting nanorattles exhibited a high capacity and pH-dependent release of the anti-cancer drug doxorubicin （DOX）. Furthermore, we employed these nanorattles in proof-of-concept UC-monitoring drug release by utilizing the energy transfer process from UC fluorides to DOX, thus revealing the great potential of the nanorattles as efficient cancer theranostic agent.展开更多
Structural characteristics of xyloglucan are constant in the pericarp cell walls of kiwifruit （Actinidia deliciosa） throughout fruit enlargement and maturation. Most of the xyioglucan （XG） persists in the cell wal...Structural characteristics of xyloglucan are constant in the pericarp cell walls of kiwifruit （Actinidia deliciosa） throughout fruit enlargement and maturation. Most of the xyioglucan （XG） persists in the cell walls of ripe kiwifruit. XG from the pericarp tissues of 36-h ethylene-treated kiwifruit was extracted as hemicellulose Ⅱ （HC-Ⅱ） with 4.28 M KOH containing 0.02% NaBH4, and purified using iodine precipitation and subsequent anion-exchange chromatography. This purifying protocol increased XG purity from 50 mol% in HC-Ⅱ fraction to 62 mol% in the purified XG powder. The molar ratio of glucose： xylose： galactose： fucose in the purified XG was 10： 6.9： 2.1： 0.3. Gel permeation chromatography indicated that purified XG had an average molecular-mass of 161 KDa, a value that exceeds the 95 KDa Mr determined for total polymeric sugars. Sugar linkage analysis confirmed the lack of fucose in the kiwifruit XG, but a small amount of arabinoxylan and low Mr glucomannan remained associated with this fraction.展开更多
Near-infrared(NIR)light,which has ignorable tissue scattering/absorption,minimal photodamage,and no autofluorescence interference,is highly favorable for bioapplications.NIR dye and lanthanide-doped nanoparticle(LnNP)...Near-infrared(NIR)light,which has ignorable tissue scattering/absorption,minimal photodamage,and no autofluorescence interference,is highly favorable for bioapplications.NIR dye and lanthanide-doped nanoparticle(LnNP),as representative NIR-excited luminescence probes,have attracted increasing interest due to their unique optical property and low biological toxicity.Design of luminescence probes based on NIR dye/LnNP nanocomposites cannot only integrate the advantages but also achieve additional functions via regulating internal energy transfer pathways.In this review,we focus on the most recent advances in the development of NIR dye/LnNP nanocomposites as potential bioprobes,which cover from their fundamental photophysics to bioapplications,including energy transfer mechanisms,interface engineering(involving binding interaction,distance,and aggregation as key factors),and their applications for dye-sensitized upconversion/downshifting luminescent bioimaging,detection of biomolecules,and NIR-triggered diagnosis and therapy.Some future prospects and efforts toward this active research field are also envisioned.展开更多
Hybrid composites made of metal-organic frameworks(MOFs)and lanthanide-doped upconversion nanoparticles(UCNPs)have attracted considerable interest for their synergistically enhanced functions in various applications s...Hybrid composites made of metal-organic frameworks(MOFs)and lanthanide-doped upconversion nanoparticles(UCNPs)have attracted considerable interest for their synergistically enhanced functions in various applications such as chemical sensing,photocatalysis,anticounterfeiting and nanomedicine.However,precise assembly of MOF/UCNP hybrid composites with tunable morphologies remains a challenge due to the lack of effective synthetic methods and fundamental understanding of the growth mechanisms.Herein,we propose a modulator-directed assembly strategy to synthesize a series of ZIF-8@UCNP composites(ZIF-8=zeolitic imidazolate framework-8).The UCNPs densely paved on the surface of ZIF-8 microcrystals and endowed the composites with intense upconversion blue emission,which were verified by steady-state/transient photoluminescence(PL)spectroscopy and single-particle imaging.Ethylenediamine(EDA)was firstly used as a modulator to fine-tune the predominant MOF facets and realized distinct morphologies of the composites.By adjusting the concentration of EDA from 0 to 25 mmol/L,the morphology of the ZIF-8@UCNP composites was tuned from rhombic dodecahedron(RD)to truncated rhombic dodecahedron(TRD),cube with truncated edges(CTE),cube,and finally a unique form of interpenetration twins(IT).The nucleation and growth process of the ZIF-8@UCNP composites was monitored by time-dependent scanning electron microscopy(SEM)images and the formation mechanism was thoroughly revealed.Furthermore,we demonstrated that the strategy for assembly of morphology-controllable ZIF-8@UCNP composites was generally applicable to various UCNPs with different sizes and shapes.The proposed strategy is expected to open up new avenues for the controllable synthesis of MOF/UCNP composites toward diverse applications.展开更多
Visceral leishmaniasis(VL)is an infectious disease caused by Leishmania donovani and transmitted by sandflies.It can be life-threatening if not treated.Common clinical features of VL include recurrent fever,pancytopen...Visceral leishmaniasis(VL)is an infectious disease caused by Leishmania donovani and transmitted by sandflies.It can be life-threatening if not treated.Common clinical features of VL include recurrent fever,pancytopenia,splenomegaly,and a variety of positive autoantibodies,which can lead to a misdiagnosis of systemic lupus erythematosus(SLE).We report the case of a 25-year-old woman with VL misdiagnosed as SLE to add to the existing literature on this subject.展开更多
基金funded by China Scholarship Council.The fund number is 202108320111 and 202208320055。
文摘State of health(SOH)estimation of e-mobilities operated in real and dynamic conditions is essential and challenging.Most of existing estimations are based on a fixed constant current charging and discharging aging profiles,which overlooked the fact that the charging and discharging profiles are random and not complete in real application.This work investigates the influence of feature engineering on the accuracy of different machine learning(ML)-based SOH estimations acting on different recharging sub-profiles where a realistic battery mission profile is considered.Fifteen features were extracted from the battery partial recharging profiles,considering different factors such as starting voltage values,charge amount,and charging sliding windows.Then,features were selected based on a feature selection pipeline consisting of filtering and supervised ML-based subset selection.Multiple linear regression(MLR),Gaussian process regression(GPR),and support vector regression(SVR)were applied to estimate SOH,and root mean square error(RMSE)was used to evaluate and compare the estimation performance.The results showed that the feature selection pipeline can improve SOH estimation accuracy by 55.05%,2.57%,and 2.82%for MLR,GPR and SVR respectively.It was demonstrated that the estimation based on partial charging profiles with lower starting voltage,large charge,and large sliding window size is more likely to achieve higher accuracy.This work hopes to give some insights into the supervised ML-based feature engineering acting on random partial recharges on SOH estimation performance and tries to fill the gap of effective SOH estimation between theoretical study and real dynamic application.
基金supported by the Shenzhen Science and Technology Program(SGDX20230821100459001)the YCRG-CRF(C1002-24Y)the GRF Project(CityU 11220322,CityU 7006015),the City University of Hong Kong,Shenzhen Research Institute。
文摘Ni-rich cathode materials are essential for enhancing the performance of lithium-ion batteries(LIBs)in electric vehicles(EVs),particularly concerning extreme fast charging(XFC)and durability.While much of studies shine a spotlight on Li plating on the anode to improve rate capability,there is a critical lack of studies addressing the combination of kinetic improvements and mechanical strength of cathode materials under XFC conditions.In this work,Mg/Ti co-doped Ni-rich LiNi_(0.88)Co_(0.09)Mn_(0.03)O_(2)(MT-NCM)was successfully synthesized to address structural challenges associated with high-rate cycling.The results demonstrate that the stronger Ti–O bond contributes to the enhanced mechanical strength of secondary grains,which effectively alleviates microcrack formation during fast charging.Additionally,the detrimental phase transitions and internal strain as well as parasitic reactions of MT-NCM are significantly suppressed due to the synergistic effect of the dual dopants,ensuring excellent Li-ion transport kinetics compared to pristine NCM(P-NCM).Consequently,MT-NCM achieves remarkable high-rate cycling performance,retaining 88.04%of its initial capacity at 5 C and superior discharge capacity over 175 mA h g^(−1)even at 10 C.This work highlights the potential of optimizing the kinetic-mechanical properties of Ni-rich cathodes,providing a viable approach for the development of XFC LIBs with improved durability for EV applications.
基金funded by China Scholarship Council,The fund numbers are 202108320111,202208320055。
文摘Lithium-ion batteries are the most widely used energy storage devices,for which the accurate prediction of the remaining useful life(RUL)is crucial to their reliable operation and accident prevention.This work thoroughly investigates the developmental trend of RUL prediction with machine learning(ML)algorithms based on the objective screening and statistics of related papers over the past decade to analyze the research core and find future improvement directions.The possibility of extending lithium-ion battery lifetime using RUL prediction results is also explored in this paper.The ten most used ML algorithms for RUL prediction are first identified in 380 relevant papers.Then the general flow of RUL prediction and an in-depth introduction to the four most used signal pre-processing techniques in RUL prediction are presented.The research core of common ML algorithms is given first time in a uniform format in chronological order.The algorithms are also compared from aspects of accuracy and characteristics comprehensively,and the novel and general improvement directions or opportunities including improvement in early prediction,local regeneration modeling,physical information fusion,generalized transfer learning,and hardware implementation are further outlooked.Finally,the methods of battery lifetime extension are summarized,and the feasibility of using RUL as an indicator for extending battery lifetime is outlooked.Battery lifetime can be extended by optimizing the charging profile serval times according to the accurate RUL prediction results online in the future.This paper aims to give inspiration to the future improvement of ML algorithms in battery RUL prediction and lifetime extension strategy.
基金the Operating Expenses of Basic Scientific Research Project of Central Public-interest Scientific Institution,China(JY2007)the Special Fund for Grain Scientific Research in the Public Interest of the State Administration of Grains,China(201313001-03-01)。
文摘More and more people concern about supplementing dietary food with wheat bran to increase fibre content,but there has been little study of the sorption isotherms and isosteric heats of wheat bran fibre products,which are important to the quality and storage durability of such commodities.This study collected equilibrium moisture content(EMC)and equilibrium relative humidity(ERH)data on six Chinese wheat bran products via the static gravimetric method and analysed their sorption isosteric heats.Results showed that all six wheat bran products had sigmoidal isotherms.The data were best fitted by polynomial,modified GAB,modified Oswin,and modified Halsey models.The relative safe moisture contents of the six wheat bran products were 12.20%–13.86%wet basis(w.b.).The heat of vaporization of wheat bran products approached the latent heat of pure water at around a moisture content(MC)of 22.5%and approximately 2450 kJ/kg.A process of extrusion and ultrafine grinding reduced the solid surface area and sorption isosteric heats of the monolayer,multilayer and condensed water regions in the wheat bran products.In the temperature range of 10–37℃,the EMC of sorption in monolayer,multilayer and condensed water regions decreased with increasing temperature.The milled rice to which 1%–3%200-mesh wheat bran product was added maintained its texture when made into cooked rice and its thermomechanical properties when made into rice dough.After processing by extrusion and ultrafine grinding,wheat bran products have a lower solid surface area and lower monolayer water content(Mm)and sorption isosteric heat values.Some 3%200-mesh wheat bran product can be added to cooked rice for increasing its fibre content and making it more nutritious.
基金supported by the Chinese Scholarship Council(Nos.202208320055 and 202108320111)the support from the energy department of Aalborg University was acknowledged.
文摘Utilizing machine learning techniques for data-driven diagnosis of high temperature PEM fuel cells is beneficial and meaningful to the system durability. Nevertheless, ensuring the robustness of diagnosis remains a critical and challenging task in real application. To enhance the robustness of diagnosis and achieve a more thorough evaluation of diagnostic performance, a robust diagnostic procedure based on electrochemical impedance spectroscopy (EIS) and a new method for evaluation of the diagnosis robustness was proposed and investigated in this work. To improve the diagnosis robustness: (1) the degradation mechanism of different faults in the high temperature PEM fuel cell was first analyzed via the distribution of relaxation time of EIS to determine the equivalent circuit model (ECM) with better interpretability, simplicity and accuracy;(2) the feature extraction was implemented on the identified parameters of the ECM and extra attention was paid to distinguishing between the long-term normal degradation and other faults;(3) a Siamese Network was adopted to get features with higher robustness in a new embedding. The diagnosis was conducted using 6 classic classification algorithms—support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), decision tree (DT), random forest (RF), and Naive Bayes employing a dataset comprising a total of 1935 collected EIS. To evaluate the robustness of trained models: (1) different levels of errors were added to the features for performance evaluation;(2) a robustness coefficient (Roubust_C) was defined for a quantified and explicit evaluation of the diagnosis robustness. The diagnostic models employing the proposed feature extraction method can not only achieve the higher performance of around 100% but also higher robustness for diagnosis models. Despite the initial performance being similar, the KNN demonstrated a superior robustness after feature selection and re-embedding by triplet-loss method, which suggests the necessity of robustness evaluation for the machine learning models and the effectiveness of the defined robustness coefficient. This work hopes to give new insights to the robust diagnosis of high temperature PEM fuel cells and more comprehensive performance evaluation of the data-driven method for diagnostic application.
基金supported by the National Key Research and Development Program of China(No.2022YFB3503700)the NSFC(Nos.12174392,22175179,22135008,U22A20398)the Self-deployment Project Research Program of Haixi Institutes,Chinese Academy of Sciences(Nos.CXZX-2022-GH10,CXZX-2022-GS01).
文摘Multicolor circularly polarized luminescence(CPL)materials show considerable potential in the field of advanced anticounterfeiting.However,it remains challenging to achieve stable inorganic materials with multicolor CPL.In this work,for the first time,chiroptical rare earth(RE)fluoride nanoparticles induced by helical silica are obtained through a facile in situ assembly strategy.The influence of assembly ratio and morphological structure on the luminescence dissymmetry factor(glum)has been systematically investigated,leading to an optimized glum value of 4.7×10^(-3).By adjusting the types and concentrations of RE dopants(Ce^(3+),Tb^(3+),Eu^(3+)),the nanocomposites exhibit multicolor CPL and time-resolved photoluminescence characteristics.Remarkably,these nanocomposites retain their CPL activity even after calcination at 400◦C.Leveraging the visible multicolor emissions,along with the hidden dynamic and chiroptical signals,the nanocomposites are successfully applied in high-security anti-counterfeiting patterns and multilevel optical encryption codes.
基金National Key Research and Development Program of China,Grant/Award Number:2022YFB3503700National Natural Science Foundation of China,Grant/Award Numbers:12174392,22175179,22135008,U22A20398+1 种基金Natural Science Foundation of Fujian Province,Grant/Award Numbers:2021I0040,2022I0035,2021L3024,2021J01524Self-deployment Project Research Program of Haixi Institutes,Chinese Academy of Sciences,Grant/Award Numbers:CXZX-2022-GH10,CXZX-2022-GS01。
文摘Photothermal lanthanide nanomaterials with unique photophysical properties have been innovatively explored for diagnostics and non‐invasive therapies,and hold great promise for precision theranostics.In this review,we start from the basic principles of excited‐state dynamics and provide a thorough comprehension of the main pathways for photothermal conversion in lanthanide nanocrystals.Aspects influencing the photothermal effect such as lanthanide‐doping concentration,particle size,and crystal structure have been fully discussed.Hybrid strategies for the design of efficient lanthanide‐based photothermal agents,including dye sensitization to break the absorption limit and semiconductor combination to add cross‐relaxation pathways,have also been summarized.Furthermore,we highlight the cutting‐edge applica-tions of photothermal lanthanide nanoplatforms with optical diagnosis and temperature feedback in photothermia‐associated theranostics.Lastly,the current challenges and future efforts for clinical applications are proposed.This review is expected to offer a better understanding of photothermal mechanisms and inspire efforts for designing versatile lanthanide theranostic nanoplatforms.
基金the Science and Technology Cooperation Fund between Chinese and Australian Governments(No.2017YFE0132300)the Strategic Priority Research Program of the CAS(No.XDB20000000)+2 种基金the National Natural Science Foundation of China(Nos.51672272,21771185,21771178,and 21975257)Youth Innovation Promotion Association of CAS(No.2017347)the CAS/SAFEA International Partnership Program for Creative Research Teams.
文摘Multiplexed intracellular detection is desirable in biomedical sciences for its higher eficiency and accuracy compared to the single-analyte detection.However,it is very challenging to construct nanoprobes that possess multiple fluorescent signals to recognize the different intracellular species synchronously.Herein,we proposed a novel dual-excitation/dual-emission upconversion strategy for multiplexed detection through the design of upconversion nanoparticles(UCNP)loaded with two dyes for sensitization and quenching of the upconversion luminescence(UCL),respectively.Based on the two independent energy transfer processes of near-infrared(NIR)dye IR845 to UCNP and UCNP to visible dye PAPS-Zn,CIO-and Zn2+were simultaneously detected with a limit of detection(LOD)of41.4 and 10.5 nM,respectively.By tilizing a purpose built 830/980 nm dual-laser confocal microscope,both intrinsic and exogenous CIO and Zn2+in live MCF-7 cells have been accurately quantified.Such dual-excitation/dual-emission ratiometric UCL detection mode enables not only monitoring multiple intracellular analytes but also eliminating the detection deviation caused by inhomogeneous probe distribution in cells.Through modulation of NIR dye and visible dye with other reactive groups,the nanoprobes can be extended to analyze various intraellular species,which provides a promising tool to study the biological activities in live cells and diagnose diseases.
基金This work is supported by the National Basic Research Program of China （No. 2014CB845605）, Special Project of National Major Scientific Equipment Development of China （No. 2012YQ120060）, the National Natural Science Foundation of China （Nos. 21201163, 21401196, U1305244, and 21325104）, the CAS/SAFEA International Partnership Program for Creative Research Teams, and Strategic Priority Research Program of the CAS （No. XDA09030307）.
文摘Rattle structure is a topic of great interest in design and application of nano- materials due to the unique core@void@shell architecture and the integration of functions. Herein, we developed a novel ＂ship-in-a-bottle＂ method to fabricate upconverting （UC） luminescent nanorattles by incorporating lanthanide-doped fluorides into hollow mesoporous silica. The size of nanorattles and the filling amount of fluorides can be well controlled. In addition, the modification of silica shell （with phenylene and amine groups） and the variation of efficient UC fluorides （NaYF4：Yb, Er, NaLuF4：Yb, Er, NaGdF4：Yb, Er and LiYF4：Yb, Er） were readily achieved. The resulting nanorattles exhibited a high capacity and pH-dependent release of the anti-cancer drug doxorubicin （DOX）. Furthermore, we employed these nanorattles in proof-of-concept UC-monitoring drug release by utilizing the energy transfer process from UC fluorides to DOX, thus revealing the great potential of the nanorattles as efficient cancer theranostic agent.
基金supported by the Postdoctoral Fellowship of Venture Business Laboratory in Hiroshima University and of the Japanese Society for Promotion of Science to Dr. XJ Li (P05190)
文摘Structural characteristics of xyloglucan are constant in the pericarp cell walls of kiwifruit （Actinidia deliciosa） throughout fruit enlargement and maturation. Most of the xyioglucan （XG） persists in the cell walls of ripe kiwifruit. XG from the pericarp tissues of 36-h ethylene-treated kiwifruit was extracted as hemicellulose Ⅱ （HC-Ⅱ） with 4.28 M KOH containing 0.02% NaBH4, and purified using iodine precipitation and subsequent anion-exchange chromatography. This purifying protocol increased XG purity from 50 mol% in HC-Ⅱ fraction to 62 mol% in the purified XG powder. The molar ratio of glucose： xylose： galactose： fucose in the purified XG was 10： 6.9： 2.1： 0.3. Gel permeation chromatography indicated that purified XG had an average molecular-mass of 161 KDa, a value that exceeds the 95 KDa Mr determined for total polymeric sugars. Sugar linkage analysis confirmed the lack of fucose in the kiwifruit XG, but a small amount of arabinoxylan and low Mr glucomannan remained associated with this fraction.
基金Science andTechnologyCooperation Fund between Chinese and AustralianGovernments,Grant/Award Number:2017YFE0132300Strategic Priority Research Program of the CAS,Grant/Award Number:XDB20000000+1 种基金NSFC,Grant/Award Numbers:51672272,21771185,21771178,21975257,12074380Youth Innovation Promotion Association of CAS,Grant/Award Number:2017347。
文摘Near-infrared(NIR)light,which has ignorable tissue scattering/absorption,minimal photodamage,and no autofluorescence interference,is highly favorable for bioapplications.NIR dye and lanthanide-doped nanoparticle(LnNP),as representative NIR-excited luminescence probes,have attracted increasing interest due to their unique optical property and low biological toxicity.Design of luminescence probes based on NIR dye/LnNP nanocomposites cannot only integrate the advantages but also achieve additional functions via regulating internal energy transfer pathways.In this review,we focus on the most recent advances in the development of NIR dye/LnNP nanocomposites as potential bioprobes,which cover from their fundamental photophysics to bioapplications,including energy transfer mechanisms,interface engineering(involving binding interaction,distance,and aggregation as key factors),and their applications for dye-sensitized upconversion/downshifting luminescent bioimaging,detection of biomolecules,and NIR-triggered diagnosis and therapy.Some future prospects and efforts toward this active research field are also envisioned.
基金This work was supported by the National Natural Science Foundation of China(NSFC)(Nos.U1805252,22175179,22135008,12174392,21975257,and 12104456)NSF of Fujian Province(Nos.2021I0040,2021L3024)the Chinese Academy of Sciences/State Administration of Foreign Experts Affairs(CAS/SAFEA)International Partnership Program for Creative Research Teams.
文摘Hybrid composites made of metal-organic frameworks(MOFs)and lanthanide-doped upconversion nanoparticles(UCNPs)have attracted considerable interest for their synergistically enhanced functions in various applications such as chemical sensing,photocatalysis,anticounterfeiting and nanomedicine.However,precise assembly of MOF/UCNP hybrid composites with tunable morphologies remains a challenge due to the lack of effective synthetic methods and fundamental understanding of the growth mechanisms.Herein,we propose a modulator-directed assembly strategy to synthesize a series of ZIF-8@UCNP composites(ZIF-8=zeolitic imidazolate framework-8).The UCNPs densely paved on the surface of ZIF-8 microcrystals and endowed the composites with intense upconversion blue emission,which were verified by steady-state/transient photoluminescence(PL)spectroscopy and single-particle imaging.Ethylenediamine(EDA)was firstly used as a modulator to fine-tune the predominant MOF facets and realized distinct morphologies of the composites.By adjusting the concentration of EDA from 0 to 25 mmol/L,the morphology of the ZIF-8@UCNP composites was tuned from rhombic dodecahedron(RD)to truncated rhombic dodecahedron(TRD),cube with truncated edges(CTE),cube,and finally a unique form of interpenetration twins(IT).The nucleation and growth process of the ZIF-8@UCNP composites was monitored by time-dependent scanning electron microscopy(SEM)images and the formation mechanism was thoroughly revealed.Furthermore,we demonstrated that the strategy for assembly of morphology-controllable ZIF-8@UCNP composites was generally applicable to various UCNPs with different sizes and shapes.The proposed strategy is expected to open up new avenues for the controllable synthesis of MOF/UCNP composites toward diverse applications.
基金National Natural Science Foundation of China,Grant/Award Numbers:81760296,81501406,81460256Funding of Yunnan Provincial Health Science and Technology Plan,Grant/Award Number:2018NS0134+3 种基金Yunnan Applied Basic Research Projects-Union Foundation,Grant/Award Numbers:2018FE001(-154),2017FE467(-138)Yunnan Provincial Fund for High Level Reserve Talents in Health Science,Grant/Award Numbers:H-2017068,H-2018037Youth Talent of Ten Thousand Scientists Program of Yunnan Province,Grant/Award Number:YNWR-QNBJ-2018-152Hundred-Talent Program of Kunming Medical University,Grant/Award Number:60117190457。
文摘Visceral leishmaniasis(VL)is an infectious disease caused by Leishmania donovani and transmitted by sandflies.It can be life-threatening if not treated.Common clinical features of VL include recurrent fever,pancytopenia,splenomegaly,and a variety of positive autoantibodies,which can lead to a misdiagnosis of systemic lupus erythematosus(SLE).We report the case of a 25-year-old woman with VL misdiagnosed as SLE to add to the existing literature on this subject.
