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Examining the Role of Patent Quality in Large-Scale "Patent War" Litigation

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Book Series: Munich Intellectual Property Law Center – MIPLC ISBN: 9783845293097 Year: Volume: 31 Pages: 78 DOI: http://dx.doi.org/10.5771/9783845293097 Language: English
Publisher: Nomos Verlagsgesellschaft mbH & Co. KG
Subject: Law
Added to DOAB on : 2018-11-05 12:58:39
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Although the U.S. Patent System has been essential to spurring innovation, it has wavered in its efficiency and effectiveness at doing so. This research first makes historical comparison and analysis of the Apple and Wright landmark patent war cases to illustrate that, irrespective of timing, benefits of a patent system rest heavily on how well it defines and maintains “patent quality.” Much of the challenge in maintaining such quality relates to the subjective and often uncertain nature of invention criteria such as “non-obviousness.” As shown by recent trends, decreased patent quality leads to greater uncertainty about patent validity, which in turn invites more litigation. This work proposes that, in order to improve constancy on patent quality, the U.S. patent office should consider returning to original strategies envisioned by the Founders of the United States as described by a patent-registration system that emphasizes utility and public review in governing the patent granting process. Modern information technology can now be applied to effectively restore this original framework envisioned for patent quality control systems.

Tech Giants, Artificial Intelligence and the Future of Journalism

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ISBN: 9781138499973 9781351013758 Year: Language: English
Publisher: Taylor & Francis Grant: Knowledge Unlatched - 102683
Subject: Media and communication
Added to DOAB on : 2019-02-26 11:21:02
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This book examines the impact of the "Big Five" technology companies – Apple, Alphabet/Google, Amazon, Facebook and Microsoft – on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing influence on the production of the news. Exploring the changes that the technology industry and automation have made in the past decade to the production, distribution and consumption of news globally, the book considers what happens to journalism once it is produced and enters the media ecosystems of the internet tech giants – and the impact of social media and AI on such things as fake news in the post-truth age.

Novel Approaches to Minimising Mycotoxin Contamination

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ISBN: 9783039289370 / 9783039289387 Year: Pages: 244 DOI: 10.3390/books978-3-03928-938-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Public Health
Added to DOAB on : 2020-06-09 16:38:57
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Contamination of foods and agricultural commodities by various types of toxigenic fungi is a concerning issue for human and animal health. Moulds naturally present in foods can produce mycotoxins and contaminate foodstuffs under favourable conditions of temperature, relative humidity, pH, and nutrient availability. Mycotoxins are, in general, stable molecules that are difficult to remove from foods once they have been produced. Therefore, the prevention of mycotoxin contamination is one of the main goals of the agriculture and food industries. Chemical control or decontamination techniques may be quite efficient; however, the more sustainable and restricted use of fungicides, the lack of efficiency in some foods, and the consumer demand for chemical-residue-free foods require new approaches to control this hazard. Therefore, food safety demands continued research efforts for exploring new strategies to reduce mycotoxin contamination. This Special Issue contains original contributions and reviews that advance the knowledge about the most current promising approaches to minimize mycotoxin contamination, including biological control agents, phytochemical antifungal compounds, enzyme detoxification, and the use of novel technologies.

Keywords

deoxynivalenol --- degradation --- photocatalysis --- ?-Fe2O3 --- degradation products --- Aspergillus flavus --- Penicillium verrucosum --- AITC --- fungal growth reduction --- mycotoxin reduction --- decontamination --- mycotoxins --- Aflatoxin M1 --- milk --- binding --- stability --- zearalenone --- biological detoxification --- Bacillus --- fermentation --- roasted coffee --- mycotoxigenic fungi --- ochratoxin A --- cold plasma --- detoxification --- brine shrimp bioassay --- mycotoxins --- Fusarium sp., Botrytis sp., apple pomace --- phloridzin --- quercetin glycosides --- pinnatifidanoside D --- deoxynivalenol --- wheat --- superheated steam --- wheat quality --- crisp biscuit --- biological control --- post-harvest phytopathogen --- Penicillium digitatum --- Penicillium italicum --- Geothrichum citri-aurantii --- zearalenone --- estrogen response element --- gene expression --- cell proliferation --- estrogen receptor --- biotransformation --- Fusarium --- mycotoxins --- garlic-derived extracts --- green chemistry --- fungi --- EU limits --- abiotic factors --- storage --- wheat --- maize --- oats --- fumonisin --- enzymatic detoxification --- fumonisin esterase FumD --- enzyme kinetics --- maize --- Zearalenone --- biodegradation --- probiotics --- cell-free extracts of Aspergillus oryzae --- pig production performance --- Bacillus --- Fusarium graminearum --- antagonism --- mode of action --- essential oils --- Satureja montana --- Origanum virens --- Aspergillus flavus --- aflatoxin --- corn --- nanoparticles --- Penicillium nordicum --- biocontrol agents --- dry-cured ham --- ochratoxin A (OTA) --- n/a

Modern Technologies and Their Influence in Fermentation Quality

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ISBN: 9783039289479 / 9783039289486 Year: Pages: 220 DOI: 10.3390/books978-3-03928-948-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2020-06-09 16:38:57
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During the last few years, industrial fermentation technologies have advanced in order to improve the quality of the final product. Some examples of those modern technologies are the biotechnology developments of microbial materials, such as Saccharomyces and non-Saccharomyces yeasts or lactic bacteria from different genera. Other technologies are related to the use of additives and adjuvants, such as nutrients, enzymes, fining agents, or preservatives and their management, which directly influence the quality and reduce the risks in final fermentation products. Other technologies are based on the management of thermal treatments, filtrations, pressure applications, ultrasounds, UV, and so on, which have also led to improvements in fermentation quality in recent years. The aim of the issue is to study new technologies able to improve the quality parameters of fermentation products, such as aroma, color, turbidity, acidity, or any other parameters related to improving sensory perception by the consumers. Food safety parameters are also included.

Keywords

itaconic acid --- A. terreus --- pH control --- glucose --- kinetic analysis --- Gompertz-model --- biogenic amines --- ethyl carbamate --- ochratoxin A --- sulfur dioxide --- phthalates --- HACCP --- Yeasts --- alcoholic beverages --- resveratrol --- glutathione --- trehalose --- tryptophan --- melatonin --- serotonin --- tyrosol --- tryptophol --- hydroxytyrosol --- IAA --- probiotics --- Torulaspora delbrueckii --- Lachancea thermotolerans --- Metschnikowia pulcherrima --- Schizosaccharomyces pombe --- Pichia kluyveri --- non-Saccharomyces --- biocontrol application --- non-Saccharomyces screening --- SO2 reduction --- lactic acid bacteria --- yeasts --- chemical analyses --- volatile compounds --- sensory evaluation --- shiraz --- low-ethanol wines --- sequential culture --- Hanseniaspora uvarum yeast --- aromatic/sensorial profiles --- narince --- autochthonous --- Saccharomyces cerevisiae --- aroma --- white wine --- cashew apple juice --- non-conventional yeasts --- alcoholic beverages --- aroma profile --- Hanseniaspora guilliermondii --- Torulaspora microellipsoides --- Saccharomyces cerevisiae --- meta-taxonomic analysis --- vineyard soil --- wine-related bacteria --- wine-related fungi --- sequential inoculation --- Saccharomyces --- non-Saccharomyces --- Riesling --- aroma compound --- Torulaspora delbrueckii --- Pichia kluyveri --- Lachancea thermotolerans --- Tannat --- must replacement --- hot pre-fermentative maceration --- wine color --- wine composition --- climate change --- food quality --- viticulture --- wine --- fermentation --- yeast --- Saccharomyces --- non-Saccharomyces --- alcoholic fermentation --- lactic acid bacteria --- malolactic fermentation --- native yeast --- Saccharomyces cerevisiae --- aroma --- Malvar (Vitis vinifera L. cv.) --- white wine --- yeasts --- Bombino bianco --- technological characterization --- enzymatic patterns --- amino acid decarboxylation --- Lachancea thermotolerans --- non-Saccharomyces --- Saccharomyces --- acidity --- food safety --- HACCP --- wine quality --- color --- human health-promoting compounds --- biocontrol --- wine flavor --- low ethanol wine --- Vineyard Microbiota --- wine color --- wine aroma --- climate change

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Authors: --- ---
ISBN: 9783039211425 9783039211432 Year: Pages: 394 DOI: 10.3390/books978-3-03921-143-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 11:49:15
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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

Keywords

port scheduling --- berth-quay crane joint scheduling --- optimization study --- hybrid mathematical model --- multi-objective decision-making (MODM) --- sustainability --- vibration suppression --- single-cylinder engine --- multi-objective evolutionary algorithms --- dynamic analysis --- crank–slider --- ecological building --- clay blocks --- compacted clay --- straw bales --- cost calculation --- group decision making --- hesitant fuzzy set --- hospital evaluation --- linguistic hesitant fuzzy set and Standard variance --- bi-objective optimization --- heuristics --- discrete time/cost trade-off --- project scheduling --- Rough Hamy aggregator --- sustainable traffic --- Rough BWM --- Rough WASPAS --- construction --- roundabout --- optimization --- genetic algorithm --- artificial neural network --- apple --- drying --- rehydration --- renewable energy --- technology selection problem --- sustainable energy evaluation --- sustainable energy developments --- sustainable developments --- hierarchical SWARA --- MULTIMOORA --- multiple criteria decision making (MCDM) --- Multiple Attribute Decision Making (MADM) --- ranking --- healthcare facility --- location-allocation problem --- multiple objective optimization --- bi-level programming --- particle swarm optimization (PSO) --- cleaner production (CP) --- extended Tomada de Decisão Interativa Multicritério (TODIM) --- probabilistic linguistic term sets (PLTSs) --- hybrid multi-criteria decision making (MCDM) --- gold mines --- conceptual framework --- organizations --- sustainability --- sustainability hierarchy --- Total Interpretive Structural Modeling (TISM) --- sustainable transport --- public transport --- emission of pollutants --- travel times --- bus pass --- MCDM --- critical information infrastructures --- fuzzy --- AHP --- WSM --- WASPAS --- MCDM --- hybrid --- management --- grey --- SWARA --- TOPSIS-GM --- ARAS-G --- Geomean --- energy efficiency --- comfort of use of buildings --- historic buildings --- sustainable development --- surface transport --- innovation in transport --- policy measures --- sustainable transport policy --- multiple criteria decision aid --- hybrid expert system --- bat algorithm --- particle swarm optimization algorithm --- multi-purpose system --- water resource management --- project --- construction --- contractor --- multiple-criteria decision-making --- AHP --- sustainable solution --- choice --- expert --- building investment project --- risk --- assessment --- verbal analysis --- multiple-attribute decision-making (MADM) --- multi-objective decision-making (MODM) --- optimization --- engineering --- management --- sustainable development

Sensors in Agriculture

Author:
ISBN: 9783038974123 9783038974130 Year: Pages: 346 DOI: 10.3390/books978-3-03897-413-0 Language: English
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: English
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

Advances in Food Analysis

Authors: ---
ISBN: 9783039217427 9783039217434 Year: Pages: 488 DOI: 10.3390/books978-3-03921-743-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-12-09 11:49:16
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This Topical Collection of Molecules provides the most recent advancements and trends within the framework of food analysis, confirming the growing public, academic, and industrial interest in this field. The articles broach topics related to sample preparation, separation science, spectroscopic techniques, sensors and biosensors, as well as investigations dealing with the characterization of macronutrients, micronutrients, and other biomolecules. It offers the latest updates regarding alternative food sources (e.g., algae), functional foods, effects of processing, chiral or achiral bioactive compounds, contaminants, and every topic related to food science that is appealing to readers. Nowadays, the increasing awareness of the close relation among diet, health, and social development is stimulating demands for high levels of quality and safety in agro-food production, as well as new studies to fill gaps in the actual body of knowledge about food composition. For these reasons, modern research in food science and human nutrition is moving from classical methodologies to advanced instrumental platforms for comprehensive characterization. Nondestructive spectroscopic and imaging technologies are also proposed for food process monitoring and quality control in real time.

Keywords

cuprous oxide nanoparticles --- reduced graphene oxide --- modified electrode --- sunset yellow --- second-derivative linear sweep voltammetry --- clenbuterol --- systematic evolution of ligands by exponential enrichment --- real-time quantitative PCR --- high-throughput sequencing technology --- aptamers --- gold nanoparticles biosensor --- carbamates --- multiple reaction monitoring (MRM) --- enhanced product ion (EPI) --- mass fragmentation --- confirmatory method --- pesticide residues --- Croatian wines --- biogenic amines --- HPLC --- geographical origin --- polyelectrolyte composite film --- nitrite detection --- differential pulse voltammetry --- cyclic voltammetry --- mycotoxin --- dimerization --- HRMS --- NMR --- fruit jams --- food security --- phenolic acids --- quercetin --- agro-biodiversity --- HPLC fingerprint --- Polygonatum cyrtonema --- saccharides --- oligosaccharides --- fructose --- HPLC–QTOF–MS/MS --- steaming --- essential oil --- extraction techniques --- hops extracts --- hydrodistillation --- Marynka strain --- microwave-assisted hydrodistillation --- anthocyanins --- bioactive compounds --- Box–Behnken design --- microwave-assisted extraction --- myrtle --- Myrtus communis --- phenolic compounds --- Chia seed oil --- polyunsaturated fatty acid --- antioxidant --- lipid-lowering effect --- collagen peptide --- HPLC fingerprint --- antioxidant --- anti-inflammatory --- spectrum-effect relationship --- amino acids --- carbohydrates --- acidity --- polarity --- molecular weight --- Tricholoma matsutake --- Pol gene --- qualitative and quantitative PCR --- DNA extraction --- ?-blockers --- metabolites --- milk powder --- Q-Orbitrap --- rosé wines --- white wines --- bottle aging --- flavor profile --- closures --- anthocyanins --- bioactive compounds --- Box–Behnken design --- ultrasound-assisted extraction --- myrtle --- Myrtus communis L. --- phenolic compounds --- food safety --- kiwifruit (Actinidia chinensis) --- molecular identification --- phylogeny --- DNA barcode --- hard clams --- Meretrix lyrata --- lipid classes --- fatty acids --- phospholipids --- molecular species of phospholipid --- high resolution mass spectrometry --- impedimetric aptasensor --- screen-printed interface --- bifunctional polymer arms --- PAT detection --- apple juice --- chiral --- chiral stationary phases --- enantiomers --- food --- review --- Piper methysticum (kava) --- kavalactones --- flavokavains --- UHPLC-UV --- mass spectra --- isomerization --- single-laboratory validation --- quality control --- Lactarius deliciosus --- chemical composition --- antioxidant --- antihyperglycemic --- ?13C-IRMS --- fatty acids composition --- 1H-NMR --- walnut varieties --- poultry eggs --- thiamphenicol --- florfenicol --- florfenicol amine --- ASE --- UPLC-FLD --- Sojae semen praeparatum (SSP) --- fermentation --- conversion --- ultra-fast liquid chromatography (UFLC)–TripleTOF MS --- principal component analysis (PCA) --- microalgae --- Scenedesmus --- supercritical fluid extraction --- carotenoids --- fat-soluble vitamins --- antioxidants --- fruit juice --- blends --- adulteration --- 1H NMR --- PLS --- chemometrics --- natural mature honey --- immature honey --- chemometric analysis --- multi-physicochemical parameters --- food quality --- IMS --- food composition --- food process control --- food authentication --- food adulteration --- food safety --- antibiotics --- liquid chromatography mass spectrometry --- milk --- muscle --- validation

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