ANALYTICAL LETTERS
·
2024
·
IF 1.6
Jianming Zhang,Yancheng Jiang,Yubin Wang,Zhishan Zhang
MicroRNAs (miRNAs) are endogenous, noncoding, and sequence-specific single-stranded RNA regulatory factors whose abnormal expression levels are closely related to various diseases, especially cancer, and are considered effective biomarkers for disease diagnosis and prognosis. Since the concentrations of miRNAs in the body are low and disease diagnosis by detecting single miRNAs may result in a high false positive, it is essential to construct a sensitive biosensor for the determination of multiple miRNAs. In this work, an enzyme-free signal amplification assay based on plasma-enhanced fluorescence (PEF) is reported for the one-step simultaneous determination of two miRNAs. Gold nanorods (AuNRs) were functionalized with fluorescein isothiocyanate (FAM)-tagged hairpin DNA1 (H1) and cyanine 5.5 (Cy5.5)-tagged hairpin DNA2 (H2). The fluorescence signals of FAM and Cy5.5 were quenched due to their proximity to the surface of the AuNRs. In the presence of target miRNA-21 and miRNA-155, H1 and H2 complemented miRNA-21 and miRNA-155, respectively, and the fluorescence signals of FAM and Cy5.5 were not only restored but amplified due to the plasma-enhanced fluorescence. A suitable linear range (0.1 to 10 nM) and low limits of detection for miRNA-21 (23 pM) and miRNA-155 (1.6 pM) were achieved. The developed assay for the one-step simultaneous measurement of two miRNAs is simple, fast and sensitive, exhibiting great potential for monitoring these biomarkers.
研究领域:
生物化学
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分子生物学
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医学诊断
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产品关联
DOI
高影响因子
FUEL
·
2023
·
IF 7.4
Qing Zhao,Mengjin Zhou,Haiyang Cheng,Jiuxu Ruan,Yangyang Wang,Zhaoyou Zhu,Peizhe Cui,Yinglong Wang,Jingwei Yang
Efficient recovery of isopropyl acetate and isopropanol from wastewater during esterification is important. An efficient separation process using ionic liquid mixed solvent extractive distillation (MSED) to separate azeotropic mixtures was proposed. The selectivity of 169 ionic liquids was calculated based on the COSMO–segment activity coefficient model for prescreening ionic liquids. The influence of the structure of the ionic liquids on the separation performance was further explored through molecular dynamics to determine 1-ethyl-3-methylimidazole acetate ([EMIM][AC]) as the best solvent. The vapor–liquid equilibrium of the system under the influence of [EMIM][AC] was measured to verify the model used for the calculation. A multi-objective genetic algorithm was used for optimizing the process parameters with the total annual cost (TAC) and gas emission as objective functions. An energy-saving heat-pump-assisted heat-integrated extractive distillation (HPHIED) process was proposed to realize heat recovery in MSED. The results showed that the TAC and gas emissions of MSED were 26.83% and 25.32%, respectively, lower than those of the single-organic solvent extractive distillation process. The TAC and gas emissions of HPHIED process were 11.02% and 35.83%, respectively, lower than those of MSED.
研究领域:
化学工程
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环境工程
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DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
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2021
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IF 13.273
Xiangjiao Xia,Samuel M. Mugo,Qiang Zhang
Flexible and wearable sensors have recently found wide applications in health monitoring and human-machine interaction. Desirable features in wearable sensors are high sensitivity and multi-targets detection capability in non-invasive manners. The sensitivity and multi-analyte detection capabilities are a function of the sensing material and sensor structures. Herein, we utilize a single-layer microgels structure integrated into a wearable capacitive sensor to realize both high sensitivity and multi-targets detections. We established a responsive sensing chain of analytes-the conformational changes of polymer chains-the morphology changes of the single-layer microgels structure-device capacitive signals. The conformational changes of microgel polymer chains due to physiological signals and metabolites in body fluids induce measurable capacitive signals generated by the sensors. This work provides mechanistic insight into a stimuli-responsive chain of analytes induced molecular conformation and thus morphology changes that induce the capacitive signal in the wearable sensors. This multipurpose sensor platform demonstrates the ability to detect bacteria such as E. coli and B. subitilis , metabolites such as uric acid in sweat, and physiological signals such as sound recognition, respiration, and pulse beat.
研究领域:
生物医学工程
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材料科学
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健康监测
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DOI
高影响因子
RAPID COMMUNICATIONS IN MASS SPECTROMETRY
·
2022
·Vol. 37
·期 1
·e9379
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IF 2.586
Xu Tang,Jiangcheng Yu,Zhijun Xie,Keqi Tang,Shifu Hu,Jun Li,Yong Wu
Rationale Because of its powerful analytical ability, ion mobility spectrometry (IMS) plays an important role in the field of mass spectrometry. However, one of the main defects of IMS is its low structural resolution, which leads to the phenomenon of peak overlap in the analysis of compounds with similar mass charge ratio. Methods A multiobjective dynamic teaching-learning-based optimization (MDTLBO) method was proposed to separate IMS overlapping peaks. This method prevents local optimization and identifies peak model coefficients efficiently. In addition, the position information of particles largely reflects the half-peak width of IMS, which makes single peaks difficult to appear and coefficient identification easier. Results The performance comparison of MDTLBO with other deconvolution methods (genetic algorithm, improved particle swarm optimization algorithm, and dynamic inertia weight particle swarm optimization algorithm) shows that the maximum deconvolution error of MDTLBO is only 0.7%, which is much lower than that for the other three methods. In addition, robustness is a performance index that reflects the advantages and disadvantages of the algorithm. Conclusion MBTLBO is more robust than other algorithms for separating overlapping peaks. The algorithm can separate the heavily overlapped mobility peaks, produce better analysis results, and improve the resolution of IMS.
研究领域:
分析化学
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质谱分析
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产品关联
DOI
PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2024
·
IF 13.3
Mengqi Wang,Jiayan Feng,Jiacheng Ding,Jinru Xiao,Dingbin Liu,Yang Lu,Yaqing Liu,Xia Gao
Multiple detection based on lateral flow immunoassay (LFA) holds significant research importance across various fields. Recently, the use of multi-color surface-enhanced Raman scattering (SERS) nanotags has enabled simultaneous detection of multiple targets within a single test line (T-line) in LFA , greatly enhancing detection efficiency, reliability, and application flexibility. However, challenges regarding signal overlap in the Raman-fingerprint region (400–1800 cm −1 ) and the difficulty in determining specific targets based on typical color analysis have persisted. In this study, we developed two types of nanoprobes that encode both color and Raman information to address these challenges in simultaneous multiple detection on a single T-line in SERS-LFA. The nanoprobes were encoded with distinguishable blue and red colors, respectively, enabling colorimetric study in multiplex LFA for qualitative analysis. Additionally, they were encoded with distinctive and non-overlapping Raman signals in the Raman-silent region (1800–2800 cm −1 ), ensuring accurate and sensitive detection by effectively avoiding interference from each other as well as background signals in the sample matrix. Using carbendazim (CBZ) and imidacloprid (IMI) as model targets, the color- and Raman-encoded SERS-LFA demonstrated promising potential for the simultaneous detection of CBZ and IMI in both standard and real samples, whether in a colorimetric or a SERS mode.
研究领域:
分析化学
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食品安全检测
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产品关联
DOI
高影响因子
Journal of Materials Chemistry C
·
2020
·Vol. 8
·期 25
·8635-8642
·
IF 7.059
Yufang Shu,Ji-Na Hao,Dechao Niu,Yongsheng Li
Simultaneous detection of multiple targets is in imperative demand but is challenging for analysis technology. In this study, a novel, multi-input luminescent logic system based on a nanoscale Zr(IV)/Eu(III) metal–organic framework (Zr-pydc-Eu) is designed for simultaneous identification and quantification of copper ions and hydrogen sulfide, which are considered to be not only toxic species in the environment but also associated with various physiological and pathological processes in the human body. In the MOF-based logic gate, pyridine-2,5-dicarboxylic acid (pydc) behaves as both the energy donor and the metal-chelating site, the photoactive Eu3+ ions function as the luminescence signal reporter/output, and the target analytes (Cu2+ and H2S) serve as energy modulators/inputs. By using the specific Cu2+ ions as a single input among various metal ions, the NOT logic operation is realized in Zr-pydc-Eu with the output switching from “1” to “0”. With the sequentially restored output from “0” to “1” by H2S input over the biologically relevant species, the IMPLICATION logic gate is implemented. Such features enable this Zr-pydc-Eu logic system to be an effective and smart platform for analyzing both Cu2+ and H2S with a low detection limit (10−8 M) and a real-time response (<2 min), presenting significant potentials for multiplex analysis application in human health monitoring.
研究领域:
分析化学
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环境科学
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生物医学
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产品关联
DOI
高影响因子
ANALYST
·
2024
·
IF 3.6
Zhiqi Gu,Hui Chang,Guo Yang,Boxuan Xu,Bin Miao,Jiadong Li
Vertical flow assay (VFA) is an effective point-of-care (POC) diagnostic tool for widespread applications. Nevertheless, the lack of multi-target detection and multi-signal readout capability still remain challenges. Herein, a brand new VFA scheme for multi-target saliva detection based on electronic-tags was proposed, where AlGaN/GaN HEMT sensors modified with different bio-receptors as electronic tags endowed the VFA a multi-target detection capability. In addition, the use of electronic tags instead of optical tags made that the VFA could simultaneously carry out direct multi-target readout, which ensure the effective POC diagnostic of saliva analysis. Moreover, by integrating a hydrophilically optimized micro-sieve, impurities like sticky filaments, epidermal cells and other large-scale charged particles in saliva were effectively screened, which enabled the direct detection of saliva by AlGaN/GaN HEMT sensors. Glucose, urea, and cortisol were selected to verified the feasibility of the multi-target e-VFA scheme, results displayed that the limit-of-detection (LOD) was as low as 100 aM. The linear response was demonstrated in the dynamic range of 100 aM - 100 μM, the specificity and long-term stability and the validity of the actual saliva test were also verified. These results demonstrated that the as-proposed e-VFA had potential application in saliva detection for multi-target simultaneous detection, and it is expected to achieve the real-time detection of more biological targets in saliva.
研究领域:
生物医学工程
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诊断学
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传感器技术
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产品关联
DOI
PubMed
高影响因子
MATERIALS & DESIGN
·
2024
·
IF 7.6
Si Zhang,Chaoshuai He,Zifan Wang,Chuanbo An,Yun Chen
Carbon fiber–reinforced epoxy composites are widely used in the marine and aviation sectors due to their superior mechanical properties. As research into these materials progresses, the demand for materials with even more complex and superior properties has increased. Traditional trial-and-error methods are limited to optimizing single factors and are plagued by heavy workloads and prohibitive costs when applied to multifactor composite designs. Addressing these problems, this study introduces a nonparametric multiobjective optimization process for composite materials. This approach employs a Gaussian process (GP) to establish a multiobjective regression model and uses nondominated sorting genetic algorithm II (NSGA II) to determine the Pareto front. Pareto solutions were ranked in accordance with their similarity to ideal solutions and on the basis of predetermined preference weights. The results demonstrate variations in optimal outcomes contingent on the weight values assigned. The differences between the optimized results and experimental validations reached 12.9%, with the minimum deviation being 0.6%. The effectiveness of the proposed method was demonstrated. The strategy combines GP and NSGA II to extend design methods for small samples and materials with multiple attributes. This method enables the simultaneous optimization of multiple conflicting objectives, offering greater efficiency than addressing them individually.
研究领域:
材料科学
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机械工程
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2019
·
IF 2.931
Yan-Yan Chen,Qi Lin,You-Ming Zhang,Hong Yao,Tai-Bao Wei,Yan-Qing Fan,Xiao-Wen Guan,Guan-Fei Gong,Qi Zhou
Recently, ultrasensitive detection and multi-guest sensing have received extensive attention due to their high sensitivity and efficiency. Herein, we report a novel approach to achieve ultrasensitive detection of multi-analyte. This approach is concluded as “rationally introduce Aggregation-Induced Emission (AIE) into chemosensor”. According to this approach, by rationally introducing self-assembly moiety, the obtained chemosensor DNS could serve as a novel AIEgen and show strong AIE in DMSO/H 2 O (water fraction 80%) binary solution. Interestingly, a simple fluorescent sensor array based on the DNS has been developed. This sensor array could selectively sense Fe 3+ , Al 3+ , H 2 PO 4 − and L-Arg in water solution. More importantly, this sensor array shows ultrasensitive detection for Fe 3+ , Al 3+ and L-Arg. The LODs of the sensor array for Fe 3+ , Al 3+ and L-Arg are in the range of 3.54 × 10 −9 M to 9.42 × 10 −9 M. Moreover, H 2 PO 4 − could realize the reversible detection of Fe 3+ in the DMSO/H 2 O (water fraction 80%) solution. Meanwhile, DNS -based test papers and thin films were prepared, which could serve as test kits for convenient detection Fe 3+ , Al 3+ , and L-Arg in water. In addition, they could also act as efficient erasable fluorescent display materials.
研究领域:
分析化学
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材料科学
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DOI
PubMed
高影响因子
Materials Advances
·
2022
·Vol. 3
·期 23
·8557-8566
·
IF 0
Quan Liu,Hanhan Wang,Qi Yang,Yuping Tong,Weiwei He
Size and surface effects definitely play an important role in promoting the enzyme-like catalytic activity of metal nanozymes. However, monodisperse small-size nanozymes require surface modification to avoid agglomeration, which largely limits their catalytic activity. In this work, a zirconium-based metal organic framework (UiO-66) with high chemical stability and porosity was applied as a carrier, on which uniform Au nanoparticles (NPs) were successfully loaded, forming Au/UiO-66 nanocomposites. Benefiting from the naked and active surface of the distributed Au NPs, Au/UiO-66 exhibited prominently enhanced peroxidase activity as well as good performance and stability. Inspired by the significant peroxidase activity of Au/UiO-66 and the distinct inhibitory effect of biological substances on peroxidase activity, a multi-targeted analytical platform was designed and established. The results proved that the developed platform realized accurate and effective detection for glucose, dopamine and HS− with a limit of detection (LOD) of 0.033 mM, 0.0022 mM and 0.0016 mM, respectively.
研究领域:
生物化学
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纳米医学
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分析化学
✓ 已验证
产品关联
DOI
Journal of Flow Chemistry
·
2023
·Vol. 13
·期 3
·337-346
·
IF 2.7
Qi Tingting,Luo Guihua,Xue Haotian,Su Feng,Chen Jianli,Su Weike,Wu Ke-Jun,Su An
Conventional batch synthesis of hexafluoroacetone (HFA), an important pharmaceutical intermediate, suffers from complex catalyst preparation, harsh reaction conditions (up to 200 °C), and low selectivity. In this study, we developed a continuous flow system that employs a micro packed-bed reactor (MPBR) filled with Lewis acid catalysts. After an initial screening of reaction conditions and catalysts in the batch reactor, a Bayesian Optimization model and the multi-objective optimization algorithm qNEHVI were used to find a compromise between conversion and energy efficiency for the reaction in the continuous flow system. After 14 rounds of experiments, BO found the best results with conversion of 98.6%, selectivity of 99.9%, and an energy cost of 0.121 kWh per kg of product at 25.1 °C, atmospheric pressure, and a GHSV of 931.5 h − 1 reaction conditions. The study demonstrates that BO can be used as an efficient tool for multi-objective optimization of heterogeneous catalysis in continuous flow. Graphical abstract
研究领域:
化学工程
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机器学习
·
制药工程
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产品关联
DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2022
·
IF 16.744
Lijiao Ao,Tao Liao,Liang Huang,Shan Lin,Kui Xu,Jiangtao Ma,Shaorong Qiu,Xiangyu Wang,Qiqing Zhang
The simultaneous detection of multiple serum biomarkers of cancer with high sensitivity and point-of-care manner is of great significance for facile and early screening of cancers. In this work, the sensitivity of lateral-flow immunoassay (LFIA) platform was improved by two strategies. The NIR-Ⅱ emitting lead sulfide quantum dots (PbS QDs) were employed to replace common visible region fluorophores to reduce background interference from sample matrix. Meanwhile, numerous hydrophobic PbS QDs were concentrated and assembled within single dendritic scaffold via three-dimensional distribution manner to enhance the fluorescence intensity of individual colloidal label. The LFIA strips with multi-testing lines were performed to realize simultaneous diagnosis of carcino-embryonic antigen (CEA), cytokeratin 19 fragment (Cyfra21-1) and neuron-specific enolase (NSE). The multi-target LFIA could be completed within 12 min with precise quantitative results by a portable NIR-Ⅱ strip scanner. The analytical data illustrated wide linear detection ranges of 0.11–100 ng mL −1 , 0.18–100 ng mL −1 and 0.28–100 ng mL −1 and limit of detection of 0.11, 0.18 and 0.28 ng mL −1 for CEA, Cyfra21-1 and NSE, respectively. The multi-target LFIA revealed minor cross-reactivity of three specific antibodies conjugated labels with non-specific cancer biomarkers and interfering proteins in human serum. For real serums of lung cancer patients and healthy persons, the combination detection of the three biomarkers exhibited an improved sensitivity up to 92.7%, which was significantly higher than any individual biomarker detection, with a satisfactory specificity of 92.0%. The multi-target LFIA platform with high sensitivity and specificity holds great significance for point-of-care and simultaneous diagnosis of multiple cancer biomarkers.
研究领域:
医学诊断
·
纳米技术
·
生物化学
✓ 已验证
产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）