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Multisensor Systems for Analysis of Liquids and Gases: Trends and Developments

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889457212 Year: Pages: 175 DOI: 10.3389/978-2-88945-721-2 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Chemistry (General)
Added to DOAB on : 2019-01-23 14:53:43
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Nowadays the application of multisensor systems for the analysis of liquids and gases is becoming more and more popular in analytical chemistry. Such systems, also known as “electronic tongues” and “electronic noses” are based on various types of chemical sensors and biosensors with different transduction principles combined with multivariate data processing protocols. These instruments received significant interest due to their simplicity, low costs and the possibility to obtain reliable chemical information from complex unresolved analytical signals. A distinct feature of electronic tongues and noses is that they can be calibrated for prediction of complex integral features in samples, like e.g. taste, odor, toxicity, geographical origin, general conformity with certain standards, etc. – the tasks that otherwise would require involvement of complex analytical instrumentation, human or animal sensory panels. In the present eBook the original research and review articles in the area of multisensor approach are collected. They dedicated to the novel sensor materials development, measuring techniques evaluation, electronics, data processing protocols and practical applications. An editorial foreword article is followed by the researches authored by leading scientists in the field of chemical sensors and artificial sensing systems. With this eBook we hope to inspire further interest and new research efforts in this exciting area.

Mass Spectrometric Proteomics

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ISBN: 9783038978268 9783038978275 Year: Pages: 192 DOI: 10.3390/books978-3-03897-827-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2019-04-25 16:37:17
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As suggested by the title of this Special Issue, liquid chromatography-mass spectrometry plays a pivotal role in the field of proteomics. Indeed, the research and review articles  published in the Issue clearly evidence how the data produced by this sophisticated methodology may promote impressive advancements in this area. From among the topics discussed in the Issue, a few point to the development of  new procedures for the  optimization of the experimental conditions that should be applied  for the identification of proteins present in complex mixtures.  Other applications  described in these articles show  the huge potential of  these strategies in the protein profiling of organs and  range from  to the study of post-translational tissue modifications to the investigation of the molecular mechanisms behind human disorders and the identification of potential biomarkers of these diseases.

Lignans

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ISBN: 9783038979081 / 9783038979098 Year: Pages: 384 DOI: 10.3390/books978-3-03897-909-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General) --- Organic Chemistry
Added to DOAB on : 2019-06-26 10:09:00
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Lignans are a class of natural products found mainly in plants. They have a wide variety of structures and exhibit a range of potent biological activities. Lignans are also well-known components of a number of widely eaten foods and are frequently studied for their dietary impact. Owing to these factors, lignans have been extensively studied by scientists from a large number of disciplines. This collection of research and review articles describes topics ranging in scope from the recent isolation and structural elucidation of new lignans, strategies towards the chemical synthesis of lignans, assessment of their biological activities and potential for further therapeutic development. Research showing the impact of lignans in the food and agricultural industries is also presented.

Keywords

lignans --- chemometrics --- neolignans --- flavonolignans --- chemical space --- drug-like --- Lespedeza cuneata --- lignan glycoside --- flavonoid glycoside --- cytotoxicity --- adipocyte and osteoblast differentiation --- Bursera --- Burseraceae --- lignans --- lignan --- molecular dynamics --- intermolecular interactions --- graph theory --- lignans --- heilaohu --- tujia ethnomedicine --- chemical characterization --- cytotoxicity --- antioxidant --- cultivar --- environment --- flax --- flavonol --- genetic --- hydroxycinnamic acid --- lignan --- seed --- aryldihydronaphthalene lignan --- arylnaphthalene lignan --- oxidation --- synthesis --- lignans --- dibenzyl butyrolactones --- anti-proliferative --- acyl-Claisen --- stereoselective synthesis --- Schisandra rubriflora --- Schisandra chinensis --- red-flowered Chinese magnolia vine --- Chinese magnolia vine --- lignans --- phytochemical analysis --- UHPLC-MS/MS --- anti-inflammatory activity --- LOX --- COX --- sPLA2 --- lignans --- neolignans --- Lauraceae --- chemical components --- chemical structures --- dietary lignans --- national databases --- food groups --- dietary intake --- harmonized databases --- lignans --- in silico studies --- podophyllotoxin --- antibacterial activity --- acetylcholinesterase inhibitors --- antioxidant activity --- cytotoxicity --- natural products --- total synthesis --- lignan --- Bursera fagaroides --- podophyllotoxin-type lignans --- cell cycle --- cell migration --- epiboly --- microtubules --- F-actin --- cancer --- lignans --- animal health --- cattle --- enterolignan --- human health --- pharmacokinetic --- ruminant --- secoisolariciresinol diglucoside --- Lignan --- bitterness --- taste-active compound --- quantification --- oak ageing --- lignans --- norlignans --- 9-norlignans --- semisynthesis --- hydroxymatairesinol --- bioactivity --- lignans --- oxidation --- lignans --- diet --- antioxidants --- health promotion --- chronic diseases --- Schisandrae Chinensis Fructus --- wild --- cultivated --- multiple bioactive components --- simultaneous quantitation

Qualitative and Quantitative Analysis of Bioactive Natural Products 2018

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ISBN: 9783038977889 Year: Pages: 374 DOI: 10.3390/books978-3-03897-789-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology --- Science (General)
Added to DOAB on : 2019-04-05 10:34:31
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Throughout most of history, medicinal plants and their active metabolites have represented a valuable source of compounds used to prevent and to cure several diseases. Interest in natural compounds is still high as they represent a source of novel biologically/pharmacologically active compounds. Due to their high structural diversity and complexity, they are interesting structural scaffolds that can offer promising candidates for the study of new drugs, functional foods, and food additives.Plant extracts are a highly complex mixture of compounds and qualitative and quantitative analyses are necessary to ensure their quality. Furthermore, greener methods of extraction and analysis are needed today.This book is based on articles submitted for publication in the Special Issue entitled “Qualitative and Quantitative Analysis of Bioactive Natural Products” that collected original research and reviews on these topics.

Keywords

Talaromyces pinophilus --- talarodiolide --- macrodiolides --- GC/MS --- secondary metabolites --- anthocyanins --- red cabbage --- recycling preparative high performance liquid chromatography --- stability --- UHPLC-MS/MS --- decursin --- decursinol angelate --- nodakenin --- decursinol --- Ginkgo biloba Extract (GBE) --- chromatogram-bioactivity correlation --- bioactive compounds --- endothelial function --- wine --- volatile compounds --- terrain conditions --- odor-activity values --- SPME-GC/MS --- Bolbostemma paniculatum --- identification --- LTQ-Orbitrap --- UPLC --- multivariate statistical analysis --- cannabidiol --- CBD oil --- terpenes --- hemp seed oil --- GC-MS --- HPLC-Q-Exactive-Orbitrap-MS --- Rossa da inverno sel. Rojo Duro onion cultivar --- geographical origin --- amino acids content --- HPLC analysis --- statistical evaluations --- food traceability --- aleuritolic acid --- autophagy --- apoptosis --- HPLC --- Curcuma longa --- turmeric --- curcuminoids --- turmerone --- quantification --- Quercus acuta leaf --- antioxidant --- antibacterial activity --- Staphylococcus aureus --- Erigeron breviscapus extract --- UPLC-ESI-MS/MS --- cerebral ischemia reperfusion injury --- scutellarin --- scutellarein --- HPLC --- Podospermum --- Scorzonera --- triterpenes --- ginseng berry extract --- ginsenosides --- stereoselective and simultaneous analysis --- pharmacokinetics --- oral administration --- saffron --- crocins --- UHPLC analysis --- separation optimisation --- artificial neural network --- response surface methodology --- bioactive natural compounds --- secondary metabolites --- Alzheimer’s disease --- Olea europaea L. --- liquid chromatography --- gas chromatography --- mass spectrometry --- secondary metabolites --- olive leaves --- Moroccan region --- phenolic compounds --- liquid chromatography-mass spectrometry --- chemometrics --- metabolic profiling --- Sorbus --- fruit powders --- phenolic compounds --- carotenoids --- sugars --- organic acids --- chili --- capsaicinoids --- phenolics --- free radical-scavenging --- geographical variation --- 1-triacontanol --- HPLC-ELSD --- biostimulant --- method validation --- Myristica fragrans --- nutmeg --- essential oil --- ionic liquids --- hydrodistillation --- MODDE experimental design --- rice --- phenolic compounds --- phenolic acids --- flavonoids --- anthocyanins --- proanthocyanidins --- antioxidant activity --- extraction --- HPLC methods --- phenolic compounds --- Spondias spp. --- UPLC-MS --- antioxidant capacity --- Iris lactea Pall. var. chinensis (Fisch.) Koidz. --- HPLC-Q-TOF-MS/MS --- qualitative analysis --- quantitative analysis --- C-glycosylflavone --- traditional Chinese medicine decoction --- quality evaluation --- UPLC-QTOF-MS --- UFLC-QQQ-MS --- ShenFu prescription decoction

Sensors in Agriculture

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ISBN: 9783038974123 / 9783038974130 Year: Pages: 346 DOI: 10.3390/books978-3-03897-413-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Sensors in Agriculture

Author:
ISBN: 9783038977445 / 9783038977452 Year: Pages: 354 DOI: 10.3390/books978-3-03897-745-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

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