Electrochemical immunosensors, genosensors and phagosensors for Salmonella detection

2014 ◽  
Vol 6 (22) ◽  
pp. 8858-8873 ◽  
Author(s):  
Susana Liébana ◽  
Delfina Brandão ◽  
Salvador Alegret ◽  
María Isabel Pividori
Keyword(s):  
State Of The Art ◽  
Detection Methods ◽  
Current State ◽  
Electrochemical Immunosensors ◽  
Recent Developments

This review discusses the current state of the artSalmonelladetection methods. In this perspective, emphasis is given to the recent developments in biosensors, in particular electrochemical immunosensors, genosensors and phagosensors.

Recent developments in pharmacotherapy for hypertriglyceridemia: what’s the current state of the art?

2019 ◽  
Vol 21 (1) ◽  
pp. 107-120 ◽  
Author(s):  
Matilda Florentin ◽  
Michael S Kostapanos ◽  
Panagiotis Anagnostis ◽  
George Liamis
Keyword(s):  
State Of The Art ◽  
Current State ◽  
Recent Developments

scholarly journals DNA Methods: Critical Review of Innovative Approaches

2002 ◽  
Vol 85 (3) ◽  
pp. 797-800
Author(s):  
Esther J Kok ◽  
Henk J M Aarts ◽  
A M Angeline van Hoef ◽  
Harry A Kuiper
Keyword(s):  
Genetically Modified Organisms ◽  
State Of The Art ◽  
Cost Effective ◽  
Detection Methods ◽  
Market Place ◽  
Gmo Detection ◽  
Current State ◽  
Detection And Identification ◽  
European Regulations ◽  
Labeling Requirements

Abstract The presence of ingredients derived from genetically modified organisms (GMOs) in food products in the market place is subject to a number of European regulations that stipulate which product consisting of or containing GMO-derived ingredients should be labeled as such. In order to maintain these labeling requirements, a variety of different GMO detection methods have been developed to screen for either the presence of DNA or protein derived from (approved) GM varieties. Recent incidents where unapproved GM varieties entered the European market show that more powerful GMO detection and identification methods will be needed to maintain European labeling requirements in an adequate, efficient, and cost-effective way. This report discusses the current state-of-the-art as well as future developments in GMO detection.

A physiome standards-based model publication paradigm

2009 ◽  
Vol 367 (1895) ◽  
pp. 1823-1844 ◽  
Author(s):  
David P. Nickerson ◽  
Martin L. Buist
Keyword(s):  
Mathematical Models ◽  
State Of The Art ◽  
Web Browsers ◽  
New Paradigm ◽  
Broadband Internet ◽  
Cellular Electrophysiology ◽  
Current State ◽  
Recent Developments ◽  
Systems Biology Markup Language ◽  
Model Publication

In this era of widespread broadband Internet penetration and powerful Web browsers on most desktops, a shift in the publication paradigm for physiome-style models is envisaged. No longer will model authors simply submit an essentially textural description of the development and behaviour of their model. Rather, they will submit a complete working implementation of the model encoded and annotated according to the various standards adopted by the physiome project, accompanied by a traditional human-readable summary of the key scientific goals and outcomes of the work. While the final published, peer-reviewed article will look little different to the reader, in this new paradigm, both reviewers and readers will be able to interact with, use and extend the models in ways that are not currently possible. Here, we review recent developments that are laying the foundations for this new model publication paradigm. Initial developments have focused on the publication of mathematical models of cellular electrophysiology, using technology based on a CellML- or Systems Biology Markup Language (SBML)-encoded implementation of the mathematical models. Here, we review the current state of the art and what needs to be done before such a model publication becomes commonplace.

scholarly journals Survey of Flight Anomaly Detection Methods: Challenges and Opportunities

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Vivian Rowoli Igenewari ◽  
Zakwan Skaf ◽  
Ian K. Jennions
Keyword(s):  
Anomaly Detection ◽  
State Of The Art ◽  
Detection Methods ◽  
Aviation Industry ◽  
Contributing Factors ◽  
Current State ◽  
Challenges And Opportunities ◽  
Proactive Measures ◽  
Component Faults ◽  
Safety Enhancement

Safety enhancement is a major goal of the aviation industry owing to the predicted increase in air travel. There is also the need to prevent fatalities, increase reliability and reduce monetary costs suffered as a result of delays and accidents that still occur. Accidents today are complex as a result of many causal factors acting alone but more often as a combination with other contributing factors. In tackling this trend, proactive measures have been put in place to find hazardous combinations that occur during flights in order to mitigate them before accidents occur. Flight Anomaly Detection (AD) methods are aimed at highlighting abnormal occurrences of a flight, that are different from the norm. As an improvement on the current state-of-the-art method, previous works have proposed different AD techniques for detection of previously unknown flight risks such as component faults, aircraft operational inefficiencies and some abnormal crew behaviour. However, current AD methods individually have limitations that prevent them from detecting certain significant anomalies in flight data. This paper surveys current flight AD approaches, their strengths and limitations as well as brings to light the benefits of a hybrid AD method to extend previous work and find safety-critical events, particularly those related to abnormal crew activity: a class of events known to amount for a substantial number of accidents/incidents today. It also highlights another emerging AD application opportunity, its challenges and how AD is beneficial in addressing them.

SAND

2021 ◽  
Vol 14 (10) ◽  
pp. 1717-1729
Author(s):  
Paul Boniol ◽  
John Paparrizos ◽  
Themis Palpanas ◽  
Michael J. Franklin
Keyword(s):  
Anomaly Detection ◽  
Domain Knowledge ◽  
State Of The Art ◽  
Data Distribution ◽  
Detection Methods ◽  
Current State ◽  
Normal Behavior ◽  
Real World Datasets ◽  
Increasing Demand ◽  
Entire Dataset

With the increasing demand for real-time analytics and decision making, anomaly detection methods need to operate over streams of values and handle drifts in data distribution. Unfortunately, existing approaches have severe limitations: they either require prior domain knowledge or become cumbersome and expensive to use in situations with recurrent anomalies of the same type. In addition, subsequence anomaly detection methods usually require access to the entire dataset and are not able to learn and detect anomalies in streaming settings. To address these problems, we propose SAND, a novel online method suitable for domain-agnostic anomaly detection. SAND aims to detect anomalies based on their distance to a model that represents normal behavior. SAND relies on a novel steaming methodology to incrementally update such model, which adapts to distribution drifts and omits obsolete data. The experimental results on several real-world datasets demonstrate that SAND correctly identifies single and recurrent anomalies without prior knowledge of the characteristics of these anomalies. SAND outperforms by a large margin the current state-of-the-art algorithms in terms of accuracy while achieving orders of magnitude speedups.

scholarly journals Ambient Air Quality and Human Health: Current Concepts—Part 1

1995 ◽  
Vol 2 (4) ◽  
pp. 211-222 ◽  
Author(s):  
Tee L Guidotti
Keyword(s):  
Air Quality ◽  
Human Health ◽  
State Of The Art ◽  
Respiratory Health ◽  
Quality Standards ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Air Quality Standards ◽  
Current State ◽  
Recent Developments

There is a fundamental reevaluation of the association between air quality and human health taking place. This reevaluation is motivated by several recent developments: increasing interest in air quality as an environmental issue; interest in the unanswered questions regarding the epidemiology of asthma; and the reduced prevalence of the principal hazard to respiratory health, cigarette smoking, the control of which invites interest in second-order determinants of health. This article attempts to provide a framework for understanding air quality issues that pertain to human health. The objective is to provide the specialist in respiratory medicine with an overview that will assist in educating patients and in responding to their inquiries, and to equip the physician to respond to requests for assistance or interpretation when called upon to comment on public policy issues involving air pollution. The implications of setting air quality standards or objectives to meet arbitrary levels of risk of health effects are examined. The current state of the art does not support risk-based air quality standards. A policy of continuous improvement is most protective of both human health and the environment.

scholarly journals A Review of Recent Developments in Molecular Dynamics Simulations of the Photoelectrochemical Water Splitting Process

Catalysts ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 807
Author(s):  
Nicolae Goga ◽  
Leonhard Mayrhofer ◽  
Ionut Tranca ◽  
Silvia Nedea ◽  
Koen Heijmans ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Water Splitting ◽  
State Of The Art ◽  
Special Focus ◽  
Semiconductor Interfaces ◽  
Current State ◽  
Recent Developments ◽  
Dynamics Simulations ◽  
Photoelectrochemical Hydrogen Production ◽  
Splitting Process

In this review, we provide a short overview of the Molecular Dynamics (MD) method and how it can be used to model the water splitting process in photoelectrochemical hydrogen production. We cover classical non-reactive and reactive MD techniques as well as multiscale extensions combining classical MD with quantum chemical and continuum methods. Selected examples of MD investigations of various aqueous semiconductor interfaces with a special focus on TiO2 are discussed. Finally, we identify gaps in the current state-of-the-art where further developments will be needed for better utilization of MD techniques in the field of water splitting.

scholarly journals State-of-the-Art of Artificial Intelligence

2021 ◽  
Author(s):  
Ramjee Prasad ◽  
Purva Choudhary
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
State Of The Art ◽  
Turing Test ◽  
Rapid Progress ◽  
Current State ◽  
Recent Developments ◽  
Historical Developments ◽  
Insight Into ◽  
Made In

Artificial Intelligence (AI) as a technology has existed for less than a century. In spite of this, it has managed to achieve great strides. The rapid progress made in this field has aroused the curiosity of many technologists around the globe and many companies across various domains are curious to explore its potential. For a field that has achieved so much in such a short duration, it is imperative that people who aim to work in Artificial Intelligence, study its origins, recent developments, and future possibilities of expansion to gain a better insight into the field. This paper encapsulates the notable progress made in Artificial Intelligence starting from its conceptualization to its current state and future possibilities, in various fields. It covers concepts like a Turing machine, Turing test, historical developments in Artificial Intelligence, expert systems, big data, robotics, current developments in Artificial Intelligence across various fields, and future possibilities of exploration.

scholarly journals Perspectives on the future of multi-dimensional platforms

2019 ◽  
Vol 218 ◽  
pp. 72-100 ◽  
Author(s):  
Gino Groeneveld ◽  
Bob W. J. Pirok ◽  
Peter J. Schoenmakers
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
High Resolution ◽  
High Resolution Mass Spectrometry ◽  
State Of The Art ◽  
Two Dimensional ◽  
Current State ◽  
Recent Developments ◽  
Resolution Mass

A practical example, the characterization of polysorbates by high-resolution comprehensive two-dimensional liquid chromatography in combination with high-resolution mass spectrometry, is described as a culmination of recent developments in 2D-LC and as an illustration of the current state of the art.

scholarly journals Nanomaterials-Based Electrochemical Immunosensors

Micromachines ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 397 ◽  
Author(s):  
Zhenguo Zhang ◽  
Yulin Cong ◽  
Yichun Huang ◽  
Xin Du
Keyword(s):  
Carbon Nanomaterials ◽  
Low Cost ◽  
High Sensitivity ◽  
Detection Methods ◽  
Sensor Technology ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Electrochemical Immunosensors ◽  
Recent Developments ◽  
Metal Nanomaterials

With the development of nanomaterials and sensor technology, nanomaterials-based electrochemical immunosensors have been widely employed in various fields. Nanomaterials for electrode modification are emerging one after another in order to improve the performance of electrochemical immunosensors. When compared with traditional detection methods, electrochemical immunosensors have the advantages of simplicity, real-time analysis, high sensitivity, miniaturization, rapid detection time, and low cost. Here, we summarize recent developments in electrochemical immunosensors based on nanomaterials, including carbon nanomaterials, metal nanomaterials, and quantum dots. Additionally, we discuss research challenges and future prospects for this field of study.

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