High-Throughput Analytical Techniques to Screen Plant Transgenics

2019 ◽  
pp. 167-185
Author(s):  
Furkan Ahmad ◽  
Pragadheesh VS
Keyword(s):  
High Throughput ◽  
Analytical Techniques

scholarly journals High-throughput phenotyping in cotton: a review

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Irish Lorraine B. PABUAYON ◽  
Yazhou SUN ◽  
Wenxuan GUO ◽  
Glen L. RITCHIE
Keyword(s):  
High Throughput ◽  
Cropping Systems ◽  
Three Dimensional ◽  
Growth Yield ◽  
Analytical Techniques ◽  
Phenotypic Traits ◽  
Technological Advances ◽  
Recent Developments ◽  
Potential Applications ◽  
High Throughput Phenotyping

Abstract Recent technological advances in cotton (Gossypium hirsutum L.) phenotyping have offered tools to improve the efficiency of data collection and analysis. High-throughput phenotyping (HTP) is a non-destructive and rapid approach of monitoring and measuring multiple phenotypic traits related to the growth, yield, and adaptation to biotic or abiotic stress. Researchers have conducted extensive experiments on HTP and developed techniques including spectral, fluorescence, thermal, and three-dimensional imaging to measure the morphological, physiological, and pathological resistance traits of cotton. In addition, ground-based and aerial-based platforms were also developed to aid in the implementation of these HTP systems. This review paper highlights the techniques and recent developments for HTP in cotton, reviews the potential applications according to morphological and physiological traits of cotton, and compares the advantages and limitations of these HTP systems when used in cotton cropping systems. Overall, the use of HTP has generated many opportunities to accurately and efficiently measure and analyze diverse traits of cotton. However, because of its relative novelty, HTP has some limitations that constrains the ability to take full advantage of what it can offer. These challenges need to be addressed to increase the accuracy and utility of HTP, which can be done by integrating analytical techniques for big data and continuous advances in imaging.

High-throughput analytical techniques for reaction optimization

2002 ◽  
Vol 7 ◽  
pp. 139-142 ◽  
Author(s):  
Miles S Congreve ◽  
Craig Jamieson
Keyword(s):  
High Throughput ◽  
Analytical Techniques ◽  
Reaction Optimization

scholarly journals Hyperspectral Shortwave Infrared Image Analysis for Detection of Adulterants in Almond Powder with One-Class Classification Method

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5855
Author(s):  
Mohammad Akbar Faqeerzada ◽  
Santosh Lohumi ◽  
Geonwoo Kim ◽  
Rahul Joshi ◽  
Hoonsoo Lee ◽  
...  
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Analytical Techniques ◽  
Error Rates ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Analysis Model ◽  
One Class Classifier ◽  
Shortwave Infrared

The widely used techniques for analyzing the quality of powdered food products focus on targeted detection with a low-throughput screening of samples. Owing to potentially significant health threats and large-scale adulterations, food regulatory agencies and industries require rapid and non-destructive analytical techniques for the detection of unexpected compounds present in products. Accordingly, shortwave-infrared hyperspectral imaging (SWIR-HSI) for high throughput authenticity analysis of almond powder was investigated in this study. Two different varieties of almond powder, adulterated with apricot and peanut powder at different concentrations, were imaged using the SWIR-HSI system. A one-class classifier technique, known as data-driven soft independent modeling of class analogy (DD-SIMCA), was used on collected data sets of pure and adulterated samples. A partial least square regression (PLSR) model was further developed to predict adulterant concentrations in almond powder. Classification results from DD-SIMCA yielded 100% sensitivity and 89–100% specificity for different validation sets of adulterated samples. The results obtained from the PLSR analysis yielded a high determination coefficient (R2) and low error values (<1%) for each variety of almond powder adulterated with apricot; however, a relatively higher error rates of 2.5% and 4.4% for the two varieties of almond powder adulterated with peanut powder, which indicates the performance of quantitative analysis model could vary with sample condition, such as variety, originality, etc. PLSR-based concentration mapped images visually characterized the adulterant (apricot) concentration in the almond powder. These results demonstrate that the SWIR-HSI technique combined with the one-class classifier DD-SIMCA can be used effectively for a high-throughput quality screening of almond powder regarding potential adulteration.

scholarly journals Recent advances in analytical techniques for high throughput experimentation

2021 ◽  
Author(s):  
Nico Vervoort ◽  
Karel Goossens ◽  
Mattijs Baeten ◽  
Qinghao Chen
Keyword(s):  
High Throughput ◽  
Analytical Techniques ◽  
Recent Advances ◽  
High Throughput Experimentation

scholarly journals An automated high throughput solution for DNA extraction and bisulfite-conversion from high volume liquid biopsy specimens – sample preparation for epigenetic analysis

2019 ◽  
Author(s):  
Sebastian Rausch ◽  
Oliver Hasinger ◽  
Thomas König ◽  
Anne Schlegel ◽  
Gunter Weiss
Keyword(s):  
Dna Extraction ◽  
High Throughput ◽  
Liquid Biopsy ◽  
Analytical Techniques ◽  
High Volume ◽  
Magnetic Bead ◽  
Bisulfite Conversion ◽  
Manual Method ◽  
Automated Method ◽  
Biopsy Specimens

Abstract Objective: DNA methylation analysis via real-time PCR or other analytical techniques requires purified bisulfite converted DNA. We report on an automated high throughput solution for DNA extraction, bisulfite-conversion, and purification of 96 samples with an input volume of up to 3.5mL of plasma or urine, using reagents from the commercially available Epi BisKit. Results: Magnetic bead-based DNA extraction, bisulfite conversion at high temperature, and efficient DNA purification was conducted on a customized commercially available liquid-handling platform. A highly interlaced 4x24 sample protocol was implemented for DNA extraction, elution in a 96-well plate, efficient bisulfite-conversion and extensive purification. The resulting bisulfite-converted DNA was stored in a 96-well format, ready for PCR set-up or other down-stream applications. The automated method is a walk-away solution for processing 96 samples in 7h30min. Performance of the method was validated by comparison with the standard manual method of the Epi BiSKit using technical and biological samples. Overall DNA yield was assessed with a standardized ß-actin assay. The automated workflow demonstrated equivalent performance to the manual method for technical, plasma and urine samples. It may provide a new standard for effective high-throughput preparation of bisulfite-converted DNA from a variety of high volume liquid biopsy specimens.

Metallomics, elementomics, and analytical techniques

2008 ◽  
Vol 80 (12) ◽  
pp. 2577-2594 ◽  
Author(s):  
Yu-Feng Li ◽  
Chunying Chen ◽  
Ying Qu ◽  
Yuxi Gao ◽  
Bai Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
Structural Characterization ◽  
Inductively Coupled Plasma ◽  
Molecular Mapping ◽  
Analytical Techniques ◽  
Research Field ◽  
Small Samples ◽  
X Ray ◽  
Icp Ms

Metallomics is an emerging and promising research field which has attracted more and more attention. However, the term itself might be restrictive. Therefore, the term "elementomics" is suggested to encompass the study of nonmetals as well. In this paper, the application of state-of-the-art analytical techniques with the capabilities of high-throughput quantification, distribution, speciation, identification, and structural characterization for metallomics and elementomics is critically reviewed. High-throughput quantification of multielements can be achieved by inductively coupled plasma-mass spectrometry (ICP-MS) and neutron activation analysis (NAA). High-throughput multielement distribution mapping can be performed by fluorescence-detecting techniques such as synchrotron radiation X-ray fluorescence (SR-XRF), XRF tomography, energy-dispersive X-ray (EDX), proton-induced X-ray emission (PIXE), laser ablation (LA)-ICP-MS, and ion-detecting-based, secondary-ion mass spectrometry (SIMS), while Fourier transform-infrared (FT-IR) and Raman microspectroscopy are excellent tools for molecular mapping. All the techniques for metallome and elementome structural characterization are generally low-throughput, such as X-ray absorption spectroscopy (XAS), NMR, and small-angle X-ray spectroscopy (SAXS). If automation of arraying small samples, rapid data collection of multiple low-volume and -concentration samples together with data reduction and analysis are developed, high-throughput techniques will be available and in fact have partially been achieved.

High-throughput analytical techniques for reaction optimization

2002 ◽  
Vol 7 (2) ◽  
pp. 139-142 ◽  
Author(s):  
Miles S Congreve ◽  
Craig Jamieson
Keyword(s):  
High Throughput ◽  
Analytical Techniques ◽  
Reaction Optimization

scholarly journals Paper-based Sensing of Fucosylated Biological Compounds

2020 ◽  
Author(s):  
Fatima Enam ◽  
Emily Kramer ◽  
Frederick Robinson ◽  
Andrea Alvarez-Acosta ◽  
Rebecca Cademartiri ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Low Cost ◽  
Analytical Techniques ◽  
Rapid Analysis ◽  
Biologically Relevant ◽  
Diagnostic Assays ◽  
Sensing Technology ◽  
Biological Compounds ◽  
Wax Printing

SummaryAdvances in sensing technology have enabled rapid analysis of various biomolecules including complex carbohydrates. However, glycan analysis is limited by the throughput and complexity of assays for quantifying them. We describe a simple, low-cost enzymatic assay for the rapid analysis of fucosylation, down to linkage specificity, and its application to high-throughput screening of biologically relevant fucosylated compounds, to facilitate simple and straightforward analytical techniques. Paper-based devices integrate biosensor platforms and other diagnostic assays by fusing them with wax printing technology, making their fabrication even more inexpensive and simple. The specificity of the assay is established by linkage-specific glycosidic enzymes and the colorimetric output is visible to the naked eye, with costs that are lower than fluorescence/luminescence-based assays ($0.02/reaction). This platform was further improved by enhancing storage stability to retain analytical performance over time using desiccation and freeze-drying techniques. The assay platform allows analysis of hundreds of samples in minutes and we anticipate that this rapid and simple analytical method will be extended towards developing a universal glyco-barcoding platform for high throughput screening of glycosylation.

scholarly journals High-Throughput Direct Mass Spectrometry-Based Metabolomics to Characterize Metabolite Fingerprints Associated with Alzheimer’s Disease Pathogenesis

Metabolites ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 52 ◽  
Author(s):  
Raúl González-Domínguez ◽  
Ana Sayago ◽  
Ángeles Fernández-Recamales
Keyword(s):  
Mass Spectrometry ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
High Throughput ◽  
Analytical Techniques ◽  
Review Article ◽  
Disease Development ◽  
Disease Pathogenesis ◽  
Vast Number ◽  
Direct Mass Spectrometry

Direct mass spectrometry-based metabolomics has been widely employed in recent years to characterize the metabolic alterations underlying Alzheimer’s disease development and progression. This high-throughput approach presents great potential for fast and simultaneous fingerprinting of a vast number of metabolites, which can be applied to multiple biological matrices including serum/plasma, urine, cerebrospinal fluid and tissues. In this review article, we present the main advantages and drawbacks of metabolomics based on direct mass spectrometry compared with conventional analytical techniques, and provide a comprehensive revision of the literature on the use of these tools in the investigation of Alzheimer’s disease.

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