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| 1 | On Splitting Training and Validation Set:A Comparative Study of Cross-Validation,Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning显示文摘Model validation is the most important part of building a supervised model.For building a model with good generalization performance one must have a sensible data splitting strategy,and this is crucial for model validation.In this study,we con-ducted a comparative study on various reported data splitting methods.The MixSim model was employed to generate nine simulated datasets with different probabilities of mis-classification and variable sample sizes.Then partial least squares for discriminant analysis and support vector machines for classification were applied to these datasets.Data splitting methods tested included variants of cross-validation,bootstrapping,bootstrapped Latin partition,Kennard-Stone algorithm(K-S)and sample set partitioning based on joint X-Y distances algorithm(SPXY).These methods were employed to split the data into training and validation sets.The estimated generalization performances from the validation sets were then compared with the ones obtained from the blind test sets which were generated from the same distribution but were unseen by the train-ing/validation procedure used in model construction.The results showed that the size of the data is the deciding factor for the qualities of the generalization performance estimated from the validation set.We found that there was a significant gap between the performance estimated from the validation set and the one from the test set for the all the data splitting methods employed on small datasets.Such disparity decreased when more samples were available for training/validation,and this is because the models were then moving towards approximations of the central limit theory for the simulated datasets used.We also found that having too many or too few samples in the training set had a negative effect on the estimated model performance,suggesting that it is necessary to have a good balance between the sizes of training set and validation set to have a reliable estimation of model performance.We also found that systematic sampling method such as K-S and SPXY generally had very poor estimation of the model performance,most likely due to the fact that they are designed to take the most representative samples first and thus left a rather poorly representative sample set for model performance estimation. | Yun Xu Royston Goodacre | 2018 | Journal of Analysis and Testing2018，2，3： | 8 |
| 2 | Bivalent Metal Ions Tethered Fluorescent Gold Nanoparticles as a Reusable Peroxidase Mimic Nanozyme显示文摘Nanozymes are a class of mimic enzymes that have both unique properties of nanomaterials and catalytic functions.They are widely used in medicine,food,agriculture,and environment due to their high catalytic efficiency,stability,economy,and large-scale preparation.In this work,a simple,gentle method was applied to synthesize adenosine phosphates(AXP)templated gold nanoparticles(Au NPs)with small size,good optical properties,and peroxidase-like activities.In the presence of hydrogen peroxide(H_(2)O_(2)),the peroxidase substrate 3,3′,5,5′-tetramethylbenzidine(TMB)could be oxidized to form blue-colored oxidized TMB(oxTMB),which demonstrates that the AuAXP NPs have peroxidase-like activities.Inter-estingly,the introduction of bivalent metal ions into AuAXP NPs allows their reusability.Among them,after three rounds of recycling,the catalytic activity of Mg@AuAMP could still reach 92.69%compared to the original level,which showed excellent reusability.In addition,the glutathione(GSH)detection was realized with a linear detection range of 0-200μM due to the GSH-induced loss of peroxidase-like activities.Overall,this work provides a new idea of recycling for biosensor and catalytic analysis. | Liu Liu Hui Jiang Xuemei Wang | 2019 | Journal of Analysis and Testing2019，3，3： | 4 |
| 3 | Interactions Between Hemin-Binding DNA Aptamers and Hemin-Graphene Nanosheets:Reduced Affinity but Unperturbed Catalytic Activity显示文摘We demonstrate herein that hemin-graphene hybrid nanosheets(H-GNs)can differentiate hemin-binding DNA aptamers(i.e.,guanine-rich DNA sequences that form G-quadruplex structures upon binding hemin)and nonspecific single-stranded oligonucleotides colorimetrically.By exploiting the tendency of the H-GNS to aggregate under high ionic strength and their inherent catalytic activities,excess H-GNS were removed and the amount of H-GNs remaining in the supernatant was quantified.Subsequently,the binding affinity of hemin-binding DNA aptamers to the H-GNS was determined upon titration with the DNA.With the conformity of the experimental data to the Langmuir adsorption isotherm,hemin is hypothesized to be sandwiched between the G-quadruplex DNA and graphene forming a ternary complex as a result of the specific bind-ing of the aptamer with the H-GNS.The binding affinity of the aptamer is not as strong as that of hemin/G-quadruplex in solution,which is attributed to electronic effects imparted by the graphene surface.The catalytic activity of the resulting complex,however,was confirmed to be higher than that of H-GNs alone. | Jenny Syl Tabunag Yujing Guo Hua-Zhong Yu | 2019 | Journal of Analysis and Testing2019，3，1： | 4 |
| 4 | Characterization and testing of physical failures in MOS logic circuits显示文摘 | Banerjee P Abraham J | 1984 | IEEE Design and Test of Computers1984，1，8： | 3 |
| 5 | Imaging Analysis Based on Electrogenerated Chemiluminescence显示文摘Electrochemiluminescence(ECL),also called electrogenerated chemiluminescence,is luminescence that is produced by chemical reactions triggered by electrochemical method.ECL imaging is a novel imaging technique,which can simultaneously provide two kinds of signals of both electrochemistry and optical image.Over the past two decades,ECL imaging has been not only a powerful tool for investigating the fundamental scientific questions such as ECL mechanisms and reaction kinetics,but also a versatile analytical technique for detection of a wide range of analytes including small molecules,DNA,proteins,and cells.In the first part of this review,we briefly describe the reaction mechanisms of ECL generation.Then the review focuses on the research progress on the ECL imaging approach.It is basically introduced from the following five aspects:(i)visualization of electroactive sites on surfaces,(ii)imaging analysis at the single-bead and single-cell levels,(iii)array bioanalysis,(iv)multi-color ECL imaging,and(v)paper chip based on ECL imaging.Finally,some perspectives and future directions in this active research area are presented. | Weiliang Guo Yanhuan Liu Zhiyuan Cao Bin Su | 2017 | Journal of Analysis and Testing2017，1，2： | 3 |
| 6 | Polyvinylchloride (PVC) and natural rubber films plasticized with a natural polymeric plasticizer obtained through polyesterification of rice fatty acid显示文摘 | Mariana Altenhofen da Silva Melissa Gurgel Adeodato Vieira André Costa Gomes Ma?umoto Marisa Masumi Beppu | 2011 | Polymer Testing2011，，5： | 3 |
| 7 | Aerolysin Nanopore Identification of Single Nucleotides Using the AdaBoost Model显示文摘Nanopores employ the ionic current from the single molecule blockage to identify the structure,conformation,chemical groups and charges of a single molecule.Despite the tremendous development in designing sensitive pore-forming materials,at some extent,the analyte with the single group difference still exhibits similar residual current or duration time.The serious overlap in the statistical results of residual current and duration time brings the difficulties in the nanopore discrimination of each single molecules from the mixture.In this paper,we present the AdaBoost-based machine learning model to identify the multiple analyte with single group difference in the mixed blockages.A set of feature vectors which is obtained from Hidden Markov Model(HMM)is used to train the AdaBoost model.By employing the aerolysin sensing of 5ʹ-AAAA-3ʹ(AA3)and 5ʹ-GAAA-3ʹ(GA3)as the model system,our results show that AdaBoost model increases the identification accu-racy from~0.293 to above 0.991.Furthermore,five sets of mixed blockages of AA3 and GA3 further validate the average accuracy of training and validation,which are 0.997 and 0.989,respectively.The proposed methods improve the capacity of wild-type biological nanopore in efficiently identify the single nucleotide difference without designing of protein and optimizing of the experimental condition.Therefore,the AdaBoost-based machine learning approach could promote the nanopore practical application such as genetic and epigenetic detection. | Xue-Jie Sui Meng-Yin Li Yi-Lun Ying Bing-Yong Yan Hui-Feng Wang Jia-Le Zhou Zhen Gu Yi-Tao Long | 2019 | Journal of Analysis and Testing2019，3，2： | 3 |
| 8 | Fabrication of Non-woven Fabric-Based SERS Substrate for Direct Detection of Pesticide Residues in Fruits显示文摘In surface-enhanced Raman scattering(SERS),flexible substrate plays an important role in target molecular collection from various shape surfaces and increases the analytical sensitivity.In this study,silver nanoparticles(Ag NPs)were deposited on a non-woven fabric used as an SERS substrate by self-assembly,in situ growing or the self-assembly/in situ growing combination method.4-Aminothiophenol was selected as a model molecular for the evaluation of the SERS performance using the substrates.The Ag NPs substrate prepared by self-assembly/in situ growing method presented the best Raman enhancement effect and its enhancement factor was estimated as high as 3.59106.The substrate was applied to the determination of four pesticide residues on the surfaces of fruit samples through wipe sampling,and the results revealed the good reproducibility of SERS responses and high detection sensitivity.The prepared flexible substrate was simple to fabricate and environmentally friendly.It could be expected to be a useful tool in rapid on-site test of pesticide residues on fruit surfaces because of its high sensitivity,convenience and non-destructive characteristics. | Lemei Cai Zhuo Deng Jing Dong Shidong Song Yiru Wang Xi Chen | 2017 | Journal of Analysis and Testing2017，1，4： | 3 |
| 9 | Recent Advances in Carbon Nanodots:Properties and Applications in Cancer Diagnosis and Treatment显示文摘Cancer is a serious threat to human health.Survival rates of cancer patients are highly dependent on the early diagnosis and treatment.Carbon nanodots(CDs),a rising star of carbon nanomaterial family,can be developed as a promising terrace for cell labeling,bioimaging,drug delivery,diagnosis,and therapy by virtue of many superior properties including unique photo-luminescence properties,low toxicity,excellent biocompatibility,and easy functionalization.In this mini review,we present the recent progress in fundamental properties of CDs,and highlight their bioapplications in cancer diagnosis and treatment. | Xiaofeng Li Lihong Shi Lin Li Chuan Dong Chen-zhong Li Shaomin Shuang | 2019 | Journal of Analysis and Testing2019，3，1： | 2 |
| 10 | Analysis of the tensile strength of polyester/hybrid ramie–cotton fabric composites显示文摘 | C.Z Paiva Júnior L.H de Carvalho V.M Fonseca S.N Monteiro J.R.M d’Almeida | 2003 | Polymer Testing2003，，2： | 2 |
| 11 | Improved Strategies for CRISPR-Cas12-based Nucleic Acids Detection显示文摘The COVID-19 pandemic has brought great challenges to traditional nucleic acid detection technology.Thus,it is urgent to develop a more simple and efficient nucleic acid detection technology.CRISPR-Cas12 has signal amplification ability,high sensitivity and high nucleic acid recognition specificity,so it is considered as a nucleic acid detection tool with broad development prospects and high application value.This review paper discusses recent advances in CRISPR-Cas12-based nucleic acid detection,with an emphasis on the new research methods and means to improve the nucleic acid detection capability of CRISPR-Cas12.Strategies for improving sensitivity,optimization of integrated detection,development of sim-plified detection mode and improvement of quantitative detection capabilities are included.Finally,the future development of CRISPR-Cas12-based nucleic acids detection is prospected. | Miao Qiu Xiao-Ming Zhou Lei Liu | 2022 | Journal of Analysis and Testing2022，6，1： | 2 |
| 12 | A Model and Methodology for Hardware-software Codesign显示文摘 | Donald E T Jay K A Herman S | 1993 | IEEE Design & Test of Computers1993，10，3： | 2 |
| 13 | Migrability of PVC plasticizers显示文摘 | A. Marcilla S. Garcia J.C. Garcia-Quesada | 2007 | Polymer Testing2007，，2： | 2 |
| 14 | Technology innovation of field bus produst显示文摘 | Zheng Ping | 2001 | Test Control Techology2001，，7： | 2 |
| 15 | Fluid Jet Polishing: removal process analysis显示文摘 | Olive W Fahnle | 1999 | Proceedings of SPIE on Optical Fabrication and Testing1999，3739，： | 2 |
| 16 | Electrochemical Preparation of Poly(arginine)-Modified Carbon Nanotube Paste Electrode and its Application for the Determination of Pyridoxine in the Presence of Riboflavin: An Electroanalytical Approach显示文摘A simple poly(arginine)film-modified carbon nanotube paste electrode(PAMCNTPE)was prepared using cyclic voltam-metry(CV).The devised sensor was subjected to field-emission scanning electron microscope(FESEM)and CV charac-terization.The sensing of 0.1 mM pyridoxine(PY)was upgraded at PAMCNTPE as compared to the bare carbon nanotube paste electrode(BCNTPE).The PAMCNTPE detects the 0.1 mM PY at a specific potential 0.727 V with a current response of 10.68μA.In the case of BCNTPE,the PY appeared at 0.798 V with a current 2.90μA.The proposed analytical method was optimized by prime parameters such as the impact scan rate,pH and PY concentration.Under optimal conditions,the concentration of PY is directly proportional to oxidation current(I_(pa))in linear range 2-10μM,and 10-80μM with a detection limit(LOD)of 9.6×10^(−7) M and limit of quantification(LOQ)of 3.21×10^(−6) M.The simultaneous determination,concen-tration variation analysis of PY is performed with riboflavin(RF)and interference analysis in detecting PY also examined.The proposed sensor was effectively applied for the determination of PY in natural food supplement with excellent recovery. | Girish Tigari J.G.Manjunatha | 2019 | Journal of Analysis and Testing2019，3，4： | 2 |
| 17 | Plasticiser effect of oleic acid polyester on polyethylene and polypropylene显示文摘 | Marcela Mantese Sander Aline Nicolau Rafael Guzatto Dimitrios Samios | 2012 | Polymer Testing2012，，8： | 2 |
| 18 | Targeted Metabolomics Revealed the Regulatory Role of Manganese on Small-Molecule Metabolism of Biofilm Formation in Escherichia coli显示文摘Biofilms are special microbial communities produced by many microorganisms,such as bacteria,viruses,and fungi.Biofilms enable the microorganisms to possess the capacity against a diversity of stressful environments.Yet,biofilm formation often causes tough challenges in clinical infections,food quality,and environmental issues,however,the formation mechanism of biofilms are still incompletely understood which seriously impedes the development of new strategies to eradicate biofilms in different niches.In this study,we sought to explore the regulatory role of manganese(Mn^(2+))on small-molecule metabo-lism of biofilm formation in Escherichia coli(E.coli).Using structural imaging assay combined with precision-targeted metabolomics method,to investigate how biofilm formation responded to various concentrations of Mn^(2+),we found that Mn^(2+)could inhibit biofilm formation through the regulation of phenotypic morphology and metabolic reprogramming.Collectively,our work discovered 16 differential functional metabolites and associated three metabolic pathways involving glycolysis,TCA cycle,and tryptophan metabolism that were changed mostly by Mn^(2+)during biofilm formation,which can differentiate biofilms from the relevant planktonic cells.Altogether,this study demonstrated that Mn^(2+)can inhibit biofilm formation to regulate metabolic reprogramming and micro-structure,such effort provides novel insight into the regulation of metabolic features of biofilm formation,which enables the development of new strategies to eradicate biofilm formation for addressing the challenging problems in different areas by targeting the regulation of Mn^(2+)to the biosynthesis and expres-sions of functional metabolites produced by different microorganisms. | Rui Guo Haitao Lu | 2020 | Journal of Analysis and Testing2020，4，3： | 2 |
| 19 | Development of Chromium(Ⅲ)-selective Potentiometric Sensor by Using Synthesized Pyrazole Derivative as an lonophore in PVC Matrix and its Applications显示文摘A novel poly(vinyl chloride)membrane potentiometric sensor for chromium(Ⅲ)ions based on the use of 5,5′-(1,4-phenylene)bis(3-(naphthalen-1-yl)-4,5-dihydro-1H-pyrazole-1-carbothioamide)as a neutral ionophore was developed.The optimum composition of the best performing membrane contained ionophore,potassium tetrakis(p-chlorophenyl)borate(KTpClPB),dibutyl phthalate(DBP),and poly(vinyl chloride)(PVC)in the ratio of 5.5:1.5:55:38(mg).The sensor exhibits a working concentration range of 1.0×10^(-5)-1.0×10^(-1 )mol L^(−1) and a detection limit of 1.7×10^(-6) mol L^(−1).The sensor shows good selectivity for chromium(III)ions over a number of cations including alkali,alkaline earth,heavy and transition metals.The response time of the sensor is 8 s.In addition,the developed sensor shows good reusability and stability.The sensor operates in the wide pH range of 5.0-11.0.The sensor could be used as an indicator electrode in the quantification of Cr^(3+)ions by potentiometric titration against ethylenediaminetetraacetic acid(EDTA).Finally,this sensor was successfully used for the determination of chromium(III)in commercial water,purification water and wastewater. | Ömer Isildak OguzÖzbek Meliha Burcu Gürdere | 2020 | Journal of Analysis and Testing2020，4，4： | 2 |
| 20 | Development of Non-enzymatic Cholesterol Electrochemical Sensor Based on Polyindole/Tungsten Carbide Nanocomposite显示文摘Non-enzymatic electrochemical sensor was developed for estimation of low-level cholesterol.Polyindole/tungsten carbide(PIN/WC)nanocomposite was synthesized and used as an electroactive material to develop low-cost modified stainless steel plate electrode(SSPE).Surface morphology of developed electrode was characterized by scanning electron microscopy.Electrochemical behavior of cholesterol was investigated through electron impedance spectroscopy,potentiodynamic polarization and cyclic voltammetry in 1-M KOH electrolytic solution.The quantification of cholesterol was studied by square wave voltammetry and differential pulse voltammetry.The calibration plots between the cholesterol concentration and peak current were in linear relation with limit of detection of 1.23×10^(−6) mol L^(−1).The overall result reveals that developed PIN/WC/SSPE electrode has excellent performance for trace-level cholesterol estimation and can be further employed for cholesterol monitoring in blood serum samples. | Shubham Sharma Preeti Joshi Sameena Mehtab Md.Ghulam Haider Zaidi Kavita Singhal Tanveer Irshad Siddiqi | 2020 | Journal of Analysis and Testing2020，4，1： | 2 |
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