Performance evaluation of E-nose and E-tongue combined with machine learning for qualitative and quantitative assessment of bear bile powder
暂无分享,去创建一个
Sicheng Li | Meifeng Li | Minghao Yuan | Li Guo | Yiping Guo | Qiang Zhou | Dafu Zeng | Kelu Lei
[1] Lee M. Tatham,et al. FXR inhibition may protect from SARS-CoV-2 infection by reducing ACE2 , 2022, Nature.
[2] Meifeng Li,et al. Rapid discrimination of the authenticity and geographical origin of bear bile powder using stable isotope ratio and elemental analysis , 2022, Analytical and Bioanalytical Chemistry.
[3] Li Guo,et al. Application of Stable Isotopes with Machine Learning Techniques for Identifying Aconiti Lateralis Radix Praeparata (Fuzi) Geographical Origins , 2022, Microchemical Journal.
[4] L. Fu,et al. Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China , 2022, Carbon Balance and Management.
[5] Li Yang,et al. Rapid Identification of Bear Bile Powder from Other Bile Sources Using Chip-Based Nano-Electrospray Ionization Tandem Mass Spectrometry. , 2022, Rapid communications in mass spectrometry : RCM.
[6] S. Uddin,et al. Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction , 2022, Scientific Reports.
[7] V. B. Kartha,et al. Post-COVID syndrome screening through breath analysis using electronic nose technology , 2022, Analytical and Bioanalytical Chemistry.
[8] Yitian Zhu,et al. A novel strategy for discriminating different cultivation and screening odor and taste flavor compounds in Xinhui tangerine peel using E-nose, E-tongue, and chemometrics. , 2022, Food chemistry.
[9] Xingyi Huang,et al. Characterization of selected Chinese soybean paste based on flavor profiles using HS-SPME-GC/MS, E-nose and E-tongue combined with chemometrics. , 2021, Food chemistry.
[10] Qiliang Li,et al. Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods , 2021, Sensors.
[11] Zheng-Tao Wang,et al. Cultured bear bile powder ameliorates acute liver injury in cholestatic mice via inhibition of hepatic inflammation and apoptosis. , 2021, Journal of ethnopharmacology.
[12] R. Liu,et al. [Chemical constituents and pharmacological action of bile acids from animal:a review]. , 2021, Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica.
[13] C. Pariante,et al. From dried bear bile to molecular investigation: A systematic review of the effect of bile acids on cell apoptosis, oxidative stress and inflammation in the brain, across pre-clinical models of neurological, neurodegenerative and neuropsychiatric disorders , 2021, Brain, Behavior, and Immunity.
[14] Claudia Gonzalez Viejo,et al. Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling , 2021, Sensors.
[15] Hongjun Yang,et al. The qualitative and quantitative assessment of xiaochaihu granules based on e-eye, e-nose, e-tongue and chemometrics. , 2021, Journal of pharmaceutical and biomedical analysis.
[16] Yongheng Yang,et al. Application of E-nose technology combined with artificial neural network to predict total bacterial count in milk. , 2021, Journal of dairy science.
[17] I. Blank,et al. Application of gas chromatography-ion mobility spectrometry (GC-IMS) and ultrafast gas chromatography electronic-nose (uf-GC E-nose) to distinguish four Chinese freshwater fishes at both raw and cooked status. , 2021, Journal of food biochemistry.
[18] Minghao Yuan,et al. Research progress in the application of bile acid-drug conjugates: A “trojan horse” strategy , 2021, Steroids.
[19] Saeed Mian Qaisar. Signal-piloted processing and machine learning based efficient power quality disturbances recognition , 2021, PloS one.
[20] Jun Deng,et al. Prediction Model for Coal Spontaneous Combustion Based on SA-SVM , 2021, ACS omega.
[21] Salimur Choudhury,et al. Utilizing deep learning and graph mining to identify drug use on Twitter data , 2020, BMC Medical Informatics and Decision Making.
[22] John-Lewis Zinia Zaukuu,et al. Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR , 2020, Sensors.
[23] Takeshi Murayama,et al. Landmark annotation and mandibular lateral deviation analysis of posteroanterior cephalograms using a convolutional neural network , 2020, Journal of dental sciences.
[24] Martin Harris,et al. Spectrophotometric Online Detection of Drinking Water Disinfectant: A Machine Learning Approach , 2020, Sensors.
[25] A. Wierzbicka,et al. Rapid analysis of Baijiu volatile compounds fingerprint for their aroma and regional origin authenticity assessment. , 2020, Food chemistry.
[26] Chunliu He,et al. Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks , 2020, Journal of biomedical optics.
[27] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[28] Yuan Yuan,et al. [DNA fingerprinting identification of bile power(bile)medicines]. , 2020, Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica.
[29] S. Umbaugh,et al. Medical infrared thermal imaging of canine appendicular bone neoplasia , 2019, BMC Veterinary Research.
[30] Mohamad Sawan,et al. Spatial resolution of local field potential signals in macaque V4 , 2019, Journal of neural engineering.
[31] B. Pradhan,et al. Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches , 2019, BMC Infectious Diseases.
[32] Haiyan Yu,et al. Characterization of key aroma compounds in Chinese rice wine using gas chromatography-mass spectrometry and gas chromatography-olfactometry. , 2019, Food chemistry.
[33] Shuangcheng Ma,et al. Analysis of the fingerprint profile of bioactive constituents of traditional Chinese medicinal materials derived from animal bile using the HPLC-ELSD and chemometric methods: An application of a reference scaleplate. , 2019, Journal of pharmaceutical and biomedical analysis.
[34] María Lluch-Senar,et al. Determination of the Gene Regulatory Network of a Genome-Reduced Bacterium Highlights Alternative Regulation Independent of Transcription Factors , 2019, Cell systems.
[35] M. Chiogna,et al. MOSClip: multi-omic and survival pathway analysis for the identification of survival associated gene and modules , 2019, Nucleic acids research.
[36] Zhenbo Wei,et al. Combination of an E-Nose and an E-Tongue for Adulteration Detection of Minced Mutton Mixed with Pork , 2019, Journal of Food Quality.
[37] Aling Shen,et al. Bear Bile Powder Inhibits Growth of Hepatocellular Carcinoma via Suppressing STAT3 Signaling Pathway in Mice , 2019, Chinese Journal of Integrative Medicine.
[38] Kyriakos C. Stylianou,et al. Capturing chemical intuition in synthesis of metal-organic frameworks , 2019, Nature Communications.
[39] Bin Han,et al. Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Chemometrics , 2019, Sensors.
[40] Hongmei Zhang,et al. Detection of bitterness and astringency of green tea with different taste by electronic nose and tongue , 2018, PloS one.
[41] Yu Gu,et al. Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection , 2018, Sensors.
[42] Hongwei Wu,et al. Determination of Bitterness of Andrographis Herba Based on Electronic Tongue Technology and Discovery of the Key Compounds of Bitter Substances , 2018, Molecules.
[43] Linfang Huang,et al. Discrimination and Geographical Origin Prediction of Cynomorium songaricum Rupr. from Different Growing Areas in China by an Electronic Tongue , 2018, Journal of analytical methods in chemistry.
[44] Zheng-Tao Wang,et al. [Systematical analysis of multiple components in drainage bear bile powder from different sources]. , 2018, Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica.
[45] Xiang Zhang,et al. HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring , 2018, IEEE Journal of Biomedical and Health Informatics.
[46] Donghua Di,et al. Preparation and toxicity evaluation of a novel nattokinase-tauroursodeoxycholate complex , 2017, Asian journal of pharmaceutical sciences.
[47] Jun Wang,et al. The prediction of food additives in the fruit juice based on electronic nose with chemometrics. , 2017, Food chemistry.
[48] Chun-Wei Tung,et al. Identification of consensus biomarkers for predicting non-genotoxic hepatocarcinogens , 2017, Scientific Reports.
[49] Joong-Ho Kwon,et al. Application of E-tongue, E-nose, and MS-E-nose for discriminating aged vinegars based on taste and aroma profiles , 2016, Food Science and Biotechnology.
[50] S. Görög. Identification in drug quality control and drug research , 2015 .
[51] A. Hofmann,et al. Key discoveries in bile acid chemistry and biology and their clinical applications: history of the last eight decades , 2014, Journal of Lipid Research.
[52] A. Zhang,et al. Metabolomics and proteomics approaches to characterize and assess proteins of bear bile powder for hepatitis C virus. , 2013, Chinese journal of natural medicines.
[53] X. Qiao,et al. Differentiation of various traditional Chinese medicines derived from animal bile and gallstone: simultaneous determination of bile acids by liquid chromatography coupled with triple quadrupole mass spectrometry. , 2011, Journal of chromatography. A.
[54] Kiyoshi Toko,et al. Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores , 2010, Sensors.
[55] B. Park,et al. Choice of neighbor order in nearest-neighbor classification , 2008, 0810.5276.
[56] Alexander J. Smola,et al. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing , 1996, NIPS.
[57] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[58] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[59] Jie Xu,et al. Applications of electronic nose (e-nose) and electronic tongue (e-tongue) in food quality-related properties determination: A review , 2020 .
[60] Walid Cherif,et al. Optimization of K-NN algorithm by clustering and reliability coefficients: application to breast-cancer diagnosis , 2018 .
[61] L. Breiman. Random Forests , 2001, Machine Learning.