JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
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2020
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IF 3.004
Youzhen Tan,Biying Chen,Cui Ren,Mingxin Guo,Juanxia Wang,Kexing Shi,Xia Wu,Yifan Feng
Sandalwood is one of the most valuable woods in the world. However, today's counterfeits are widespread, it is difficult to distinguish authenticity. In this paper, similar genus ( Dalbergia and Pterocarpus ) and confused species ( Gluta sp .) of sandalwood were quickly and efficiently identified. Rapid identification model based on 1 H NMR and decision tree (DT) algorithm was firstly developed for the identification of sandalwood, and the accuracy was improved by introducing the AdaBoost algorithm. The accuracy of the final model was above 95%. And the feature components between different species of sandalwood were further explored using UHPLC-QTOFMS and NMR spectrometry. The results showed that 183 compounds were identified, among which 99 were known components, 84 were unknown components. The 1 H NMR and 13 C NMR signals of 505 samples were assigned, among them, 14 compounds were attributed, characteristic chemical shift intervals with great differences in the model were analysed. Furthermore, the fragmentation pattern of different compounds from sandalwood, in both positive and negative ion ESI modes, was summarized. The results showed a potential and rapid tool based on DT, NMR spectroscopy and UHPLC-QTOFMS, which had performed great potential for rapid identification and feature analysis of sandalwood.
研究领域:
植物学
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分析化学
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药用植物研究
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DOI
PubMed
高影响因子
WATER RESEARCH
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2025
·
IF 12.4
Shuxin Li,Daxin Zhang,Rongxi Zhu,Tengchong Ma,Meilin Liu,Luyao Ma,Yili Wang
Coagulation conditioning is a key step for sludge dewatering, while the control of optimal coagulant dosing is still a challenge. This study proposes an intelligent system for the precise management of coagulants (IIS PMC ) in sludge conditioning. This system was assembled using an electrical impedance spectroscopy (EIS)-based sensor and a decision-making model to conduct the self-perception, decision-making, execution, and dosage optimization in sludge conditioning through a feedback-driven exploratory trial process, conceptually inspired by structured exploration behavior observed in primates. Using the optimal dosage obtained by the traditional manual jar test as the reference, the accuracy and repeatability of the IIS PMC were investigated. The robustness under different perturbed conditions, reliability, and generalizability of the IIS PMC were further assessed. Moreover, the long-term operational capability and the feasibility of the application in the scaled-up conditioning were also discussed. The results showed that the intelligent system achieved statistical median accuracy and repeatability of approximately 5%, good reliability with a 5 g/kg resolution (R 2 > 0.94 in validation tests) in determining the optimal coagulant dosage, and strong robustness under sludge conductivity and concentration perturbed conditions. In addition, the performance of the IIS PMC was validated across different sludge sources, including activated sludge, dredged sediment, and algal sludge, as well as different coagulants, exhibiting solid generalizability. The system also demonstrated stable continuous operation over 40 batches, which is equivalent to the number of continuous operation batches of a small-sized treatment plant over approximately half a month. Furthermore, even after scaling up the conditioning tank, the IIS PMC maintained stable performance. These findings highlight the potential of the IIS PMC for practical applications in sludge conditioning.
研究领域:
环境工程
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人工智能
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生物启发系统
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DOI
PubMed
高影响因子
FOOD CHEMISTRY
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2025
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IF 9.8
Mengyuan Li,Lei Jia,Xiaolei Zhao,Lina Zhang,Dan Zhao,Jun Xu,Tongqian Zhao
Developing analytical methods for simultaneous detection of multiple antibiotic residues is crucial for environmental protection and human health. In this study, a dual lanthanide fluorescence probe (GDP-Eu-Tb) based on nucleotides has been designed. The addition of quinolone antibiotics (QNs) quench the Eu 3+ fluorescence signal through the inner filter effect (IFE) and exhibit characteristic peaks, enabling ratio fluorescence detection of levofloxacin (LVLX), gatifloxacin (GTLX), and moxifloxacin (MXLX). A ratiometric fluorescence sensor array is constructed using a single sensor element (GDP-Eu-Tb), combined with principal component analysis (PCA) and decision tree (DT) algorithms to model the relationship between fluorescence intensity ratios (I 450 /I 616 , I 460 /I 616 , I 463/ I 616 , I 468 /I 616 ) and QNs. The performance of the DT model is evaluated using accuracy, precision, recall, and F1 score, with stability and generalizability confirmed by stratified ten-fold cross-validation. This approach demonstrates high sensitivity, selectivity and applicability and provides an effective solution for antibiotic residue detection.
研究领域:
环境科学
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分析化学
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生物医学
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DOI
PubMed
高影响因子
LATIN AMERICAN RESEARCH REVIEW
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2022
·Vol. 46
·期 3
·133-156
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IF 1.272
Liliana R. Goldín
In-depth interviews and a three-wave longitudinal study of workers in international export-processing plants (maquiladoras, referred to here as maquilas) of the central highlands of Guatemala were conducted to explore the effects of labor turnover on individuals and households. The data suggest a framework in which labor conditions and sources of support at home are linked to turnover of youths working in the maquila. Turnover in the study is associated with decreased input into important household decisions and a lowered sense of adjustment and life satisfaction. Despite this, turnover is often volitional, representing a form of resistance and response on the part of workers to adverse working conditions in the factories. The study reveals the complex dynamics underlying both involuntary and voluntary turnover in the maquilas.ResumenPor medio de entrevistas en profundidad y una encuesta longitudinal en tres rondas con trabajadores de las industrias internacionales procesadoras para exportación (maquilas) del altiplano central de Guatemala, se exploraron los efectos de la rotación laboral en individuos y hogares. Los datos sugieren un marco en el que las condiciones de trabajo y las fuentes de asistencia y sustento en el hogar están ligadas a la rotación de los jóvenes trabajadores. En el estudio, la rotación aparece asociada con una menor contribución por parte del trabajador a las decisiones importantes del hogar y una disminución en el sentimiento de ajuste personal y satisfacción de vida. A pesar de esto, la rotación es con frecuencia voluntaria y representa una forma de respuesta y resistencia por parte de los trabajadores a las adversas condiciones de trabajo en las fábricas. El estudio revela la compleja dinámica que subyace a la rotación voluntaria e involuntaria en las maquilas.
研究领域:
劳动社会学
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全球资本主义研究
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发展人类学
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劳工研究
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社会转型
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DOI
高影响因子
SCIENCE OF THE TOTAL ENVIRONMENT
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2022
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IF 10.753
Wenyi Yu,Jiaqi Chen,Shenghu Zhang,Yanping Zhao,Mingliang Fang,Yongfeng Deng,Yan Zhang
Biodegradable plastics (BPs) have been given high hopes to substitute conventional plastics, but their biodegradation requires strict conditions. BPs can accumulate for a long time in the environment and even derive biodegradable microplastics (BMPs), thus threatening wildlife and ecosystems. However, no efficient method is available for extracting BMPs from organisms' tissues. This study used multi-criteria decision-making (MCDM) methods to comprehensively evaluate and optimize extraction protocols of five BMPs from economic aquatic species. Digestion time, digestion efficiency, mass loss, cost, polymer integrity and size change were selected as evaluating indictors. According to the screening results of MCDM methods, Pepsin+H 2 O 2 was selected as the optimal digestion method of BMPs because of its highest comprehensive score, which has high digestion efficiency (99.56%) and minimum plastic damage. Compared with olive oil, NaI is more suitable for separating BMPs from the digested residues. Furthermore, the combination of Pepsin+H 2 O 2 digestion and NaI density separation was used to extract all five kinds of BMPs from the bivalve, crab, squid, and crayfish tissues, and all the recovery rates exceeded 80%. These results suggest that the optimal protocol is practicable to extract various BMPs from various aquatic organisms.
研究领域:
环境科学
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生物学
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产品关联
DOI
PubMed
高影响因子
Alexandria Engineering Journal
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2024
·
IF 6.2
Tian-Ji Liu,Qing Yu,Yi-Tong Wang,Jun-Guo Li,Xiao-Man Wang,Le-Le Kang,Rui Ji,Fu-Ping Wang,Ya-Nan Zeng,Shuang Cai
This study investigates the biomass and carbon fixation rate of Chlorella sp. by the main valuable elements in converter steel slag in F/2 seawater medium. The results indicate that Ca, Mg, P, Si, Fe, and Mn can increase the biomass and carbon fixation rate of Chlorella sp. , while Cu, Zn, Cr, and Al can decrease the biomass and carbon fixation rate of Chlorella sp. . Three machine learning methods known as Back Propagation neural network (BPNN), decision tree (DT), and random forest (RF) were applied to construct the prediction model for the carbon fixation rate of Chlorella sp. based on real-life experimental data obtained from single factor experiments. The overall results exhibited that the BPNN model is better than the DT model and RF model to predict the carbon fixation rate of Chlorella sp. . Finally, the maximum carbon fixation rate for Chlorella sp. predicted by BPNN model is 50.86 mg/(L·d), which was 2.46 times that of the control group, under the optimum conditions of Ca 5.77 g/L, Mg 4.74 g/L, P 1.27 g/L, Si 6.31×10 −1 g/L, Fe 6.50×10 −4 g/L, Mn 5.00×10 −5 g/L, Cu 2.51×10 −6 g/L, Zn 4.98×10 −6 g/L, Cr 0 g/L, and Al 0 g/L in F/2 seawater medium.
研究领域:
环境科学
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生物技术
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机器学习
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产品关联
DOI
高影响因子
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
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2025
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IF 4.6
Zhenli Sun,Yiyan Zhang,Zijin Hong,Jingjing Du
Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful analytical tool for dye monitoring in environmental waters; however, challenges remain in resolving complex mixtures due to spectral overlap and limited signal reproducibility. To address this issue, a dual-channel SERS system integrated with machine learning (ML) was developed. Positively and negatively charged polyelectrolyte-modified Fe 3 O 4 @SiO 2 -Au substrates were employed for the selective detection of anionic and cationic dyes, respectively. Benefiting from the magnetic properties of the substrates, the system enables simultaneous and efficient capture of charge-contrasting dye mixtures. Several classification ML models, including linear discriminant analysis (LDA), k-nearest neighbor (KNN), and decision tree, were constructed to distinguish SERS data from various mixed dyes. The best-performing models, LDA and KNN, achieved classification accuracies exceeding 92 %, and a multimodel ensemble algorithm combining LDA and KNN was designed to harness the strengths of both models, resulting in a classification accuracy of 98 % for mixed dyes. This integrated approach enhances the efficiency and precision of Raman spectroscopic analysis while reducing the need for manual intervention, offering strong potential for high-precision pollutant detection and real-world application in analytical chemistry.
研究领域:
分析化学
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光谱学
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环境监测
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机器学习
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纳米技术
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产品关联
DOI
PubMed
高影响因子
ADVANCED MATERIALS
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2025
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IF 26.8
Tianle Zeng,Zishen Zhao,Kun Ye,Zhipeng Yu,Junxin Yan,Yuxuan Zeng,Weiming Lv,Lianbo Guo,Chun Zhao,Anmin Nie,Zhongming Zeng,Zhongyuan Liu
Neuromorphic computing presents a promising solution for the von Neumann bottleneck, enabling energy-efficient and intelligent sensing platforms. Although 2D materials are ideal for bioinspired neuromorphic devices, achieving multifunctional synaptic operations with simple configurations and linear weight updates remains challenging. Inspired by biological axons, the in-plane anisotropy of 2D Nb 2 GeTe 4 is exploited to develop dual electronic-optical synaptic devices. The device exhibits anisotropic hole mobilities (137.97 cm 2 V −1 s −1 along the a -axis and 78.29 cm 2 V −1 s −1 along the b -axis) and a wavelength-dependent photoresponse. This enables directional synaptic plasticity under electrical-optical co-stimulation, achieving 98.3% accuracy along the a -axis and 88.3% along the b -axis in adaptive image processing. A machine vision system with 89.6% object recognition accuracy and an intelligent vehicle navigation platform with 90.2% decision-making accuracy is also demonstrated. The integration of anisotropic transport and spectrally tunable responses in a single material paves the way for compact neuromorphic hardware with multimodal sensing and parallel processing capabilities. This study advances 2D material-based neuroelectronics for edge computing, autonomous robotics, and adaptive artificial intelligence systems.
研究领域:
神经形态工程
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材料科学
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光电子学
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人工智能
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电子器件
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计算机视觉
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机器人技术
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产品关联
DOI
PubMed
高影响因子
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
·
2023
·Vol. 415
·期 9
·1699-1707
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IF 4.3
Peng Shirun,Lu Dechan,Zhang Bohan,You Ruiyun,Chen Jingbo,Xu Huiyao,Lu Yudong
Liquid biopsies have significance for early colon cancer screening and improving patient survival. Recently, several researchers have applied surface-enhanced Raman spectroscopy (SERS) for the label-free and non-invasive detection of serum. Most of these studies performed the assay using a mixture of noble metal nanoparticles (NMNPs) with serum. However, SERS analysis of serum remains a challenge in terms of reproducibility and stability, as NMNPs tend to aggregate when mixed with serum, resulting in a non-uniform distribution of hot spots. Here, we report on the non-invasive identification of colon cancer (CC) using an internal standard (IS)–calibrated label-free serum SERS assay in combination with machine learning. Serum SERS spectra of 50 CC patients and 50 health volunteers have been obtained using silver nanoparticle (Ag NP) colloid and mercaptopropionic acid–modified Ag NPs (Ag NPs–MPA) as the SERS substrates. Decision tree (DT), random forest (RF), and principal component and linear discriminant analysis (PCA–LDA) algorithms were utilized to establish the diagnosis model for SERS spectra data classifying. The results show that the RF model provides a high diagnostic accuracy compared to PCA–LDA. Following calibration with IS molecules, high diagnostic accuracy of over 90% and 100% specificity can be achieved with DT, RF, and PCA–LDA algorithms to differentiate between cancer and normal groups. The results from this exploratory work demonstrate that serum SERS detection combined with multivariate statistical methods and IS calibration has great potential for the non-invasive and label-free detection of CC.
研究领域:
生物医学工程
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分析化学
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机器学习
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癌症诊断
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纳米技术
✓ 已验证
DOI
高影响因子
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
·
2023
·
IF 1.5
Mingju Chen,Anle Cui,Zhengxu Duan,Xingzhong Xiong
Currently, evaluating the quality of strong-flavor Baijiu (SFB) heavily relies on subjective sensory analysis, resulting in large deviations in evaluation. However, as there are no existing evaluation criteria for SFB quality, this study aimed to extract trace components and design an evaluation model using gas chromatography–mass spectrometry (GC–MS). First, the key component data was analyzed using principal component analysis (PCA) and sparse principal component analysis (SPCA) to identify the most important principal components that represent the SFB samples. Second, KNN, DT, SVM, and BP analyses were then employed on the principal component data to determine the grade of the SFB samples. Finally, a price prediction model based on SPCA+BP was established to objectively evaluate the quality and price of SFB. The experimental results show that the proposed method can effectively realize the distinction and price prediction of SFB.
研究领域:
食品科学
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分析化学
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机器学习
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化学计量学
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DOI
高影响因子
Food Science of Animal Resources
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2021
·
IF 2.471
Xiao-Guang Dong,Li-Bing Gao,Hai-Jun Zhang,Jing Wang,Kai Qiu,Guang-Hai Qi,Shu-Geng Wu
This study discriminated fatty acid profile and flavor characteristics of BeijingYou Chicken (BYC) as a precious local breed and Dwarf Beijing You Chicken (DBYC)eggs. Fatty acid profile and flavor characteristics were analyzed to identifydifferences between BYC and DBYC eggs. Four classification algorithms were usedto build classification models. Arachidic acid, oleic acid (OA), eicosatrienoicacid, docosapentaenoic acid (DPA), hexadecenoic acid, monounsaturated fattyacids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA)and 35 volatile compounds had significant differences in fatty acids andvolatile compounds by gas chromatography-mass spectrometry (GC-MS)(p<0.05). For fatty acid data, k-nearest neighbor (KNN) and supportvector machine (SVM) got 91.7% classification accuracy. SPME-GC-MS datafailed in classification models. For electronic nose data, classificationaccuracy of KNN, linear discriminant analysis (LDA), SVM and decision tree wasall 100%. The overall results indicated that BYC and DBYC eggs could bediscriminated based on electronic nose with suitable classification algorithms.This research compared the differentiation of the fatty acid profile andvolatile compounds of various egg yolks. The results could be applied toevaluate egg nutrition and distinguish avian eggs.
研究领域:
食品科学
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化学计量学
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动物科学
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分析化学
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产品关联
DOI
PubMed
高影响因子
APPLIED CATALYSIS B-ENVIRONMENTAL
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2024
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IF 20.2
Longde Jiang,Jingde Luan,Haowei Zhang,Yu Bai,Yu Zhang,Wengang Liu,Zheng Yan,Haiting Zhao
Photocatalytic H 2 production from seawater splitting is a promising method for sustainable energy conversion technology. The vanadium-oxygen binary doped carbon nitride (VO X -CN) is successfully prepared for H 2 production. Benefiting from the electronic structure alteration, the maximum H 2 yield on VO X -CN in artificial seawater reaches 4475.74 μmol h −1 g −1 , 10 times higher than that of CN in deionized water. The impact of ions on the photocatalytic activity of VO 2 -CN is followed by Na + > Mg 2+ > K + > Ca 2+ . The adsorption of electrolyte ions promotes the formation of delocalized electron clouds on the surface of VO 2 -CN, facilitating more electrons to participate in H + reduction. Screening based on six machine models, the decision tree regression algorithm is used to reveal the interaction between cation type, their concentration and H 2 yield. Pearson heatmap indicates that Na + , Mg 2+ , and K + ions are positively correlated with H 2 yield, whereas Ca 2+ shows a negative correlation. The interactions among Na + , Mg 2+ and K + atoms facilitate H 2 production in multi-ion system, whereas Ca 2+ ions do the opposite, especially for high concentration. This work proposes new insights into the interference on H 2 yield between the structure alteration of CN framework and the change of ion type and concentration.
研究领域:
材料科学
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催化
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能源转换
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化学工程
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机器学习
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产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）