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Innovative Extraction Techniques and Hyphenated Instrument Configuration for Complex Matrices Analysis

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ISBN: 9783039210848 9783039210855 Year: Pages: 308 DOI: 10.3390/books978-3-03921-085-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Chemical Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

The present Special Issue, “Innovative Extraction Techniques and Hyphenated Instrument Configuration for Complex Matrices Analysis”, aims to collect and to disseminate some of the most significant and recent contributions in the interdisciplinary area of innovative extraction procedures from complex matrices followed by validated analytical methods using hyphenated instrument configurations to support the optimization of the whole process and the scale-up possibility

Keywords

branched-chain keto acids --- serum --- muscle --- HPLC-Q-TOF/MS --- wood --- odor --- volatile organic compounds --- gas chromatography-olfactometry --- Wuyi Rock tea --- quality --- UPLC-QTOF MS --- UPLC-QqQ MS --- metabolite profiling --- metabolomics --- cluster analysis --- cultivars --- Lycium ruthenicun --- flavonoid --- ruthenicunoid A --- SIRT1 --- Asphodeline lutea --- HPLC-PDA --- heavy metals --- tyrosinase --- diabetes --- neurodegenerative disease --- color analysis --- pigments --- MAE --- HPLC-PDA --- SFE --- Thymus algeriensis --- rare earth elements --- flow injection --- inductively coupled plasma-mass spectrometry --- seawater --- Hericium erinaceuns mycelium --- high-speed counter-current chromatography (HSCCC) --- genistein --- daidzein --- Fe3O4 --- modification --- alginate --- alkaloid --- ultrasound assisted extraction --- gelatin --- actinidin --- bovine hide --- physicochemical properties --- gel strength --- Semen Cuscutae --- ultra-high-performance liquid chromatography coupled to electrospray ionization mass spectrometry --- chlorogenic acids --- flavonoids --- steamed Panax notoginseng --- saponins --- extraction --- optimization --- antioxidant activity --- response surface methodology --- hematopoiesis --- microwave processing --- response surface methodology --- minor ginsenosides --- blood-enriching activity --- hemostatic activity --- ionic liquids --- sample preparation --- microextraction --- solid-phase microextraction --- dispersive liquid-liquid microextraction --- single-drop microextraction --- stir bar sorptive extraction --- stir cake sorptive extraction --- rosuvastatin --- metformin --- HILIC --- LC-MS --- therapeutic drug monitoring --- oolong tea --- Tieguanyin tea cultivar --- metabolite profiling --- UPLC-QTOF MS --- metabolomics --- Ajuga genevensis --- near-infrared spectroscopy --- dry extract --- fluid bed process --- microNIR --- in-line monitoring --- total polyphenolic content --- antioxidant --- flavonoids --- mouse melanoma B16 cells --- Panax notoginseng --- surfactant --- n/a --- ultra-high-performance liquid chromatography tandem mass spectrometry --- GHB --- GHB glucuronide --- nails --- endogenous values --- walnut septum --- polyphenols --- phytosterols --- HPLC-MS/MS --- Ultra-Turrax extraction --- biological activity --- antioxidant activity --- experimental design --- optimization --- phytochemicals

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Authors: ---
ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Abstract

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

Plant Natural Products for Human Health

Authors: ---
ISBN: 9783038977124 Year: Pages: 514 DOI: 10.3390/books978-3-03897-713-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Therapeutics --- Medicine (General)
Added to DOAB on : 2019-04-05 10:34:31
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Abstract

Plants have served mankind as an important source of foods and medicines. While we all consume plants and their products for nutritional support, a majority of the world population also rely on botanical remedies to meet their health needs, either as their own “traditional medicine” or as “complementary and alternative medicine”. From a pharmaceutical point of view, many compounds obtained from plant sources have long been known to possess bio/pharmacological activities, and historically, plants have yielded many important drugs for human use, from morphine discovered in the early nineteenth century to the more recent paclitaxel and artemisinin. Today, we are witnessing a global resurgence in interest and use of plant-based therapies and botanical products, and natural products remain an important and viable source of lead compounds in many drug discovery programs.This Special Issue on “Plant Natural Products for Human Health” compiles a series of scientific reports to demonstrate the medicinal potentials of plant natural products. It covers a range of disease targets, such as diabetes, inflammation, cancer, neurological disease, cardiovascular disease, liver damage, bacterial, and fungus infection and malarial. These papers provide important insights into the current state of research on drug discovery and new techniques. It is hoped that this Special Issue will serve as a timely reference for researchers and scholars who are interested in the discovery of potentially useful molecules from plant sources for health-related applications.

Keywords

heat-process --- onion --- calorie restriction --- Amadori rearrangement compounds --- hyperglycemia --- A549 cells --- hinokitiol --- MMPs --- p53/Bax --- antioxidant enzymes --- caspases --- migration --- cannabinoid type 1 receptor --- endoplasmic reticulum stress --- gluconeogenesis --- gomisin N --- lipogenesis --- insulin resistance --- garlic --- ischemia --- heme oxygenase --- reperfusion --- heart --- Keap1 --- Nrf2 --- Neuroprotective --- PC12 cells --- PhGs --- anti-malaria activity --- plants --- natural products --- ethnopharmacology --- Plasmodium parasites --- copaiba --- oleoresin --- essential oil --- sesquiterpenoids --- diterpenoids --- biological activity --- molecular targets --- Astragali Radix --- astragaloside IV --- genistein --- mitochondrial bioenergetics --- oxygen consumption rate --- natural products --- drug design and development --- innovation --- automation --- computational softwares --- bioinformatics --- precision medicine --- omics --- global health --- sweet orange --- bitter orange --- neroli --- orange petitgrain --- mandarin --- lemon --- lime --- grapefruit --- bergamot --- yuzu --- kumquat --- cannabigerol --- Cannabis sativa --- neuroinflammation --- oxidative stress --- phytocannabinoid --- iridoids --- nuclear factor-kappaB --- mitogen-activated protein kinase --- anti-inflammation --- Ziziphus jujuba --- triterpenic acids --- pharmacokinetic study --- acute liver injury --- A? --- AD --- lychee seed --- neuroinflammation --- catechin --- procyanidin A2 --- apoptosis --- cinnamamides --- antistaphylococcal activity --- time-kill assay --- biofilm --- antitubercular activity --- MTT assay --- antifungal activity --- PET inhibition --- toxicity --- structure–activity relationship --- bleeding time --- flavonoid --- morin hydrate --- OH· free radical --- platelet activation --- protein kinase --- thromboembolism --- Glycyrrhiza uralensis --- prenylated flavonoids --- antiproliferation --- differentiation --- melanoma cell --- adjuvant-induced arthritis --- arthritis --- celastrol --- curcumin --- dietary supplements --- EGCG --- green tea --- inflammation --- liposomes --- microbiome --- nanoparticles --- natural products --- resveratrol --- rheumatoid arthritis --- targeted delivery --- traditional medicine --- Tripterygium wilfordii --- triptolide --- Penthorum chinense Pursh --- NAFLD --- hepatic steatosis --- flavonoids --- SIRT1 --- AMPK --- dihydromyricetin --- myocardial hypertrophy --- oxidative stress --- sirtuin 3 --- ginseng --- human-hair-follicle dermal papilla cells --- WNT/?-catenin --- Shh/Gli --- TGF-? --- BMP/Smad --- mouse-hair growth --- Panax notoginseng saponins --- aspirin --- HepaRG cells --- herb–drug interactions --- P. eryngii --- glucans --- inflammation --- inflammatory bowel disease --- medicinal plants --- phytochemicals --- scoulerine --- bergapten --- immunomodulator --- adjuvant --- cytoxicity --- dendritic cells --- immune modulation --- APAP --- acetaminophen --- hepatotoxicity --- hpatoprotection --- paracetamol --- animals --- preclinical studies --- natural products --- small molecules --- phytochemicals --- plants --- fucoidan --- acetaminophen --- Nrf2 --- oxidative stress --- hepatotoxicity --- plant natural product --- drug discovery --- human health

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2019 (3)