IEEE SENSORS JOURNAL
·
2024
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IF 4.3
Zhikang Rao,Boyu Guo,Jixiang Zu,Weiqiang Zheng,Ying Xu,Yuting Yang
In clinical diagnosis, the detection of dopamine (DA) is often interfered by epinephrine (EP), a neurotransmitter drug that shares a similar structure with DA, which affects the accurate prediction of DA concentration. In this study, an electrochemiluminescence (ECL) and differential pulse voltammetry (DPV) dual model biosensor combined with machine learning algorithm was proposed for improving the selective detection of DA under EP interference. First, reduced graphene and gold nanoparticles were applied to enhance the sensitivity and stability of the sensor in ECL and DPV measurement. Compared with single model sensing, the dual model sensor could combine the superiority of ECL and DPV while improving the accuracy and reliability of experimental data. Then, nine graphic features related to concentration prediction were extracted from the ECL and DPV response curves, and Pearson’s correlation coefficient (PCC), as well as random forest (RF) algorithm, was adopted for feature importance analysis. To achieve accurate signal decoupling, an intelligent biologically inspired algorithm, particle swarm optimization (PSO) algorithm, was introduced to optimize initial weights and thresholds of the traditional artificial neural network (ANN) for further model training based on multi-feature fusion, which greatly increased the prediction accuracy of DA in the presence of EP. The results demonstrated that DA could be accurately predicted in the concentration range of 9– 200 μM , and the R2 between the true and predicted values of DA concentration reached 0.99. The root-mean-square error (RMSE) and mean absolute error (MAE) of the test dataset were 5.77 and 4.32 μM , respectively. In addition, the PSO-ANN-assisted ECL-DPV dual model detection scheme has been successfully applied for the determination of DA in real samples, such as goat serum and artificial urine.
研究领域:
生物医学工程
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临床诊断
·
电化学传感
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产品关联
DOI
高影响因子
RENEWABLE ENERGY
·
2023
·
IF 8.7
Xiao-Man Wang,Ya-Nan Zeng,Yu-Ran Wang,Fu-Ping Wang,Yi-Tong Wang,Jun-Guo Li,Rui Ji,Le-Le Kang,Qing Yu,Tian-Ji Liu,Zhen Fang
Resistance of biodiesel industrial production came from high energy consumption and feedstock costs. To solve it, Na 2 CO 3 @BFD catalyst was prepared from blast furnace dust and used to catalyze biodiesel production at low temperature. Biodiesel yield of 99.04 wt% was obtained under conditions optimized by response surface methodology of methanol/oil molar ratio 13.72/1, catalyst dosage 9.77 wt % and 74.86 °C for 1.62 h. The order of influence of the four factors was temperature (245.9) > time (109.8) > methanol/oil molar ratio (23.83) > catalyst dosage (1.19). Back propagation neural network model (BPNN) was optimized using genetic algorithm (GA) and sparrow search algorithm (SSA) to predict biodiesel yield. The evaluation indexes of mean absolute error , mean square error , root mean square error and mean absolute percentage error of SSA-BPNN were 0.9236, 2.0184, 1.4207 and 1.0247 ( vs. 2.4329, 9.1037, 3.0172 and 3.5000 for GA-BPNN and 4.3291, 43.4693, 6.5931 and 6.9227 for BPNN), indicating that SSA-BPNN model had excellent prediction ability to effectively reduce experimental costs and resource consumption. The reaction kinetics of Na 2 CO 3 @BFD for transesterification process showed that its activation energy was 65.73 kJ/mol, lower than that of reported solid base catalyst, indicating that it had significant potential in biomass conversion .
研究领域:
生物化学
·
能源生物学
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产品关联
DOI
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2025
·
IF 4.6
Jian Xiao,A.-Lin Xia,Tao Geng
In order to accurately quantify the content of light elements in food samples, a method based on portable energy dispersive X-ray fluorescence (p-XRF) technology combined with second-order calibration algorithm was proposed to simultaneously quantify phosphorus (P), sulfur (S), potassium (K) and calcium (Ca) in different food samples. Firstly, the XRF response signal matrix of each food sample was obtained by changing the test current and voltage. Secondly, the alternating penalty trilinear decomposition (APTLD) algorithm was used to analyze the three-way data array stacked by multiple samples. The results showed that second-order calibration algorithm could accurately extract the spectral signal of the target element even if there were serious background interference and signal overlap. The predicted recovery rates of the target elements in the food samples are 82 %–119 %. The LOD and LOQ of P, S, K, and Ca are 3, 3, 20, 8 ppm and 9, 11, 68, 26 ppm, which proves that this method can accurately quantify light elements in food samples. This study demonstrated that p-XRF combined with second-order calibration is an effective method for the determination of light elements in food and has broad practical application prospects.
研究领域:
食品科学
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分析化学
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产品关联
DOI
高影响因子
INFRARED PHYSICS & TECHNOLOGY
·
2023
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IF 3.3
Mingxing Zhao,Hui Jiang,Quansheng Chen
The issue of pesticide residues has always been a hot topic at home and abroad. A method for the quantitative detection of procymidone residues in grain and oil products using near-infrared (NIR) spectroscopy has been proposed. First, a NIR spectrometer was used to collect spectral data from rapeseed oil samples with different concentrations of procymidone residues. Based on full-spectrum data, the wavelength points selected by bootstrapping soft shrinkage (BOSS) algorithm, competitive adaptive reweighted sampling (CARS) algorithm, and variable combination population analysis (VCPA) algorithm then were compared and were quantified using support vector regression (SVR) model. Simultaneously, the prediction results of the SVR model optimized by dung beetle optimizer (DBO) algorithm and pigeon-inspired optimization (PIO) algorithm were compared using the full-spectrum data. Finally, the wavelength selection algorithms and parameter optimization algorithms with the best prediction results were selected for comparison and combination. In light of the outcomes, the three spectral characteristic wavelength selection algorithms and the two optimization algorithms can improve the coefficient of determination ( R P 2 ) and reduce the root mean square error of prediction (RMSEP). The SVR model that utilizing CARS and PIO algorithm demonstrates the best generalization performance among all models evaluated, and the R P 2 is 0.9939 with a RMSEP of 2.3435 mg·kg −1 . The results indicate that the high-precision and rapid detection of procymidone in edible oil can be achieved using the SVR model optimized by input feature and parameter based on NIR spectral data. This has great significance in ensuring the safety of grain and oil food.
研究领域:
食品科学
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分析化学
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产品关联
DOI
高影响因子
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
·
2023
·Vol. 415
·期 9
·1719-1732
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IF 4.3
Zhang Jiuba,Li Yu,Wang Bin,Song Jiantao,Li Mingxuan,Chen Peng,Shen Zheyuan,Wu Yi,Mao Chunqin,Cao Hui,Wang Xiachang,Zhang Wei,Lu Tulin
It is well known that the processing method of herbal medicine has a complex impact on the active components and clinical efficacy, which is difficult to measure. As a representative herb medicine with diverse processing methods, Radix Paeoniae Alba (RPA) and its processed products differ greatly in clinical efficacy. However, in some cases, different processed products are confused for use in clinical practice. Therefore, it is necessary to strictly control the quality of RPA and its processed products. Giving that the time-consuming and laborious operation of traditional quality control methods, a comprehensive strategy of near-infrared (NIR) spectroscopy combined with multivariate algorithms was proposed. This strategy has the advantages of being rapid and non-destructive, not only qualitatively distinguishing RPA and various processed products but also enabling quantitative prediction of five bioactive components. Qualitatively, the subspace clustering algorithm successfully differentiated RPA and three processed products, with an accuracy rate of 97.1%; quantitatively, interval combination optimization (ICO), competitive adaptive reweighted sampling (CARS), and competitive adaptive reweighted sampling combined with successive projections algorithm (CARS-SPA) were used to optimize the PLS model, and satisfactory results were obtained in terms of wavelength selection. In conclusion, it is feasible to use NIR spectroscopy to rapidly evaluate the effect of processing methods on the quality of RPA, which provides a meaningful reference for quality control of other herbal medicines with numerous processing methods. Graphical Abstract
研究领域:
药学
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分析化学
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中药学
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产品关联
DOI
PubMed
高影响因子
ANALYTICA CHIMICA ACTA
·
2021
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IF 6.558
Shuting Chen,Weijia Wang,Shaohua Xu,Caili Fu,Shuyi Ji,Fang Luo,Cuiying Lin,Bin Qiu,Zhenyu Lin
In this work, an auto-identify sensor was constructed for rapid and high-precision detection of L-histidine. The proposed strategy is based on the auto-identify algorithm and the aggregation of alkynyl and azide functionalized gold nanoparticles induced by the Cu + catalyzed azides and alkynes cycloaddition (CuAAC) reaction. Specially, the color of scattering light spots for the aggregated gold nanoparticle (AuNPs) caused by CuAAC reaction was quite different from that of the monomers . However, L-histidine can bind to Cu 2+ and inhibits the production of Cu + , hence preventing the aggregation of AuNPs. Therefore, there is a distinct change of color as the addition of L-histidine under dark-field microscopy. Then, L-histidine can be quantitatively detected by combining the color change with the Meanshift algorithm accurately and automatically. Such proposed method has been successfully applied for the detection of L-histidine in serum sample with satisfying result.
研究领域:
分析化学
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纳米技术
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生物化学
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产品关联
DOI
PubMed
高影响因子
EUROPEAN POLYMER JOURNAL
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2025
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IF 6.3
Lv Shen,Junwei Chi,Min Hao,Ziheng Zhao,Xian Zhang,Dianfei Chen,Ru Zhou,Haitao Bian,Juncheng Jiang
Polylactic acid (PLA) is an emerging environmentally friendly material, but its flammability limits its application in various fields. This study employed ant colony optimization and random forest algorithms to optimize the limiting oxygen index (LOI) of PLA/nitrogen-phosphorus flame retardant systems and identify key influencing factors. The results demonstrate that the C–P(N) 2 =O bond serves as the critical structural feature for achieving high flame retardancy in PLA at low additive loadings. Based on this finding, the research team synthesized a novel nitrogen-phosphorus flame retardant. Thermogravimetric analysis (TGA) revealed that the synthesized PDAZ flame retardant promoted char formation, increasing the residual carbon content at 800 °C from 0 % to 4.95 %. Cone calorimetry tests (CCT) showed an 11.1 % reduction in peak heat release rate (pHRR) and a 48 % improvement in fire performance index (FPI). Remarkably, the addition of only 3 wt% of this flame retardant increased the LOI of PLA to 30.5 %. This study provides an innovative strategy for accelerating the development of flame-retardant PLA materials.
研究领域:
材料科学
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高分子科学
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消防安全工程
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化学合成
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机器学习
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产品关联
DOI
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
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2025
·
IF 4.6
Bochen Wei,Fengxia Zhang,Mengyu Wang,Shaobo Li,Muhammad Qamer Abbas,Yuping Wan,Zhenxia Du
To reduce the differences in phospholipids (PLs) of human milk and infant formula, PL-rich raw materials and finished milk powder from the infant formula production line were collected and the phospholipids profiles of raw materials were systematically analyzed by LC-Q-TOF based on phospholipid omics. 108 phospholipids were detected in infant formula, 73 of which were common to human milk, the content of the different phospholipid molecules varied. For the production of raw materials, whey protein concentrate and arachidonic acid powder have the most similar structure to human milk. By varying the ratio of each ingredient, formula can be made closer to human milk. The particle swarm optimization (PSO) algorithm was applied for the optimization of the ratio of raw materials to closely mimic the human milk. Based on the optimized ratio, the optimized formulas were prepared. PCA analysis proved that the optimized formulas were highly effective in mimicking human milk.
研究领域:
营养学
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生物化学
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产品关联
DOI
高影响因子
INORGANIC CHEMISTRY
·
2019
·
IF 4.85
Ruichan Lv,Liyang Xiao,Yanxing Wang,Fan Yang,Jie Tian,Jun Lin
In this research, four heuristic algorithms (HAs), including simulated annealing (SA), improved annealing with a harmony search algorithm (HSA), particle swarm optimization (PSO), and genetic algorithm (GA), were used to optimize the luminescent intensity of phosphor. Among the four HAs, the improved algorithm HSA got better phosphors than SA (without using the known coded concentration). The PSO algorithm got gradually better results with increased generation, and the GA could find the best local phosphors with shorter time. After further analysis of the 340 phosphors, we found that the final brightness has an optimized activator concentration (Tb: 0.21–0.26), and the results were further proved by another uniform host of NaGdF4:Ce,Tb nanoparticles. The HA was proper to find the optimal concentration of the activator of Tb. Furthermore, the optimal phosphor could be used as a bioimaging agent and improved QR code.
研究领域:
材料科学
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光学
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生物医学工程
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产品关联
DOI
PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2024
·
IF 13.3
Yugui Cheng,Simian Fu,Kaiming Jin,Yiying Liu,Jingtong Ma,Deliang Li,Qingying Lyu,Yehan Li,Xiaoyang Jiang,Ruonan Liu,Ye Tian
Hydrogels displaying both high toughness and flexibility hold substantial practical value. However, it has been challenging to achieve these properties simultaneously. To address this challenge, we developed a special structure hydrogel named PAB-S inspired by chrysalis shell. Astragalus polysaccharide (AP) was copolymerized with polyvinyl alcohol (PVA) and betaine hydrochloride (BH) to prepare a low-modulus hydrogel, PAB. Subsequently, surface modification of the PAB hydrogel using sodium phytate (SP) resulted in the formation of the “shell” structured PAB-S hydrogel. The fracture strength of the shell-structured hydrogel increased by about 0.8 MPa. Meanwhile, PAB-S had a maximum tensile strain of 418 %, a toughness of 6.82 MJ/m 3 , and a modulus of elasticity of approximately 0.6 MPa. In addition, PAB-S hydrogel offers high strain sensitivity (GF up to 4.7), ultra-low response time of 20 ms. Finally, leveraging 2.4G communication technology and a deep learning (1D-CNN) algorithm, advanced functionalities such as wireless remote intelligent control, and deep learning-based finger grip disorder identification were realized using the PAB-S hydrogel sensor. The PAB-S hydrogel sensor holds promising prospects for applications in fields including deep learning, intelligent sensing, medical rehabilitation, and human–machine synchronization.
研究领域:
材料科学
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生物医学工程
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传感器技术
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产品关联
DOI
高影响因子
Chemosensors
·
2024
·Vol. 12
·期 6
·101
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IF 3.7
Ran Sui,Erpan Zhang,Xiaoshui Tang,Wenjun Yan,Yun Liu,Houpan Zhou
Herein, we prepared two different MOS-based gas sensors with integrated micro-hotplates. The two sensors were employed to detect various fragrances (cedar, mandarin orange, rose A, and rose B), exhibiting similarly great sensing performances. The gas sensing properties of the MOS-based sensor depend on the sensor’s operating temperature. In addition to isothermal operation, various pulse heating modes were applied to investigate the gas sensing performances with respect to the four fragrances. Multivariate gas sensing features of the four fragrances were obtained under different operating modes, which were utilized for the recognition of fragrance odors successfully, based on the long short-term memory (LSTM) algorithm.
研究领域:
材料科学
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电子工程
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人工智能
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产品关联
DOI
高影响因子
Science Advances
·
2025
·Vol. 11
·期 20
·
IF 12.5
Gongyuan Zhang,Tom Albrow-Owen,Wenjun Peng,Xin Liang,Xianming Zhang,Pan Wang,Dawei Di,Shurong Dong,Jikui Luo,Guo Wang,Hongfeng Mu,Qian Zhao,Xuhan Guo,Qi Jie Wang,Tawfique Hasan,Zongyin Yang
The evolution of miniaturized spectroscopic tools is pivotal for expanding the application of spectral data across scientific, industrial, and consumer domains. Recent advancements in computationally augmented systems have dramatically reduced device form factors toward those compatible with consumer tech integration. However, for a commercial reality, most applications demand operation across visible to short-wave infrared (SWIR) range. In this regard, existing miniaturized devices are either constrained by physical properties; use complex, costly, or unscalable fabrication techniques; or require multiple components to address separate parts of the spectrum. Here, we report on a low-cost, visible to SWIR, miniaturized spectrometer design enabled by a mass-producible, nonlithographic method of engineering planar dispersive elements from widely available plastics. By deforming shape memory epoxies, we encode spectral information, which is processed by a complementary metal oxide semiconductor sensor array and reconstructed via algorithms. This design offers broadband capability from 400 to 1600 nanometers and enables line-scanning spectral imaging, paving the way for affordable spectrometers.
研究领域:
光学工程
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材料科学
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计算机科学
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产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）