Combined Solid-Phase Detection Techniques for Dissecting Multiprotein Interactions on Membranes

2007 ◽  
pp. 79-96
Author(s):  
Jacob Piehler
Keyword(s):  
Solid Phase ◽  
Phase Detection ◽  
Detection Techniques

Non-porous sphérical polymér particlés for luminéscént solid phase detection reactors

1996 ◽  
Vol 320 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Einar Pontén ◽  
Börje Glad ◽  
Malin Stigbrand ◽  
Anna Sjögren ◽  
Knut Irgum
Keyword(s):  
Solid Phase ◽  
Phase Detection ◽  
Polymer Particles

scholarly journals A Prognostic Nested k-Nearest Approach for Microwave Precipitation Phase Detection over Snow Cover

2019 ◽  
Vol 20 (2) ◽  
pp. 251-274 ◽  
Author(s):  
Zeinab Takbiri ◽  
Ardeshir Ebtehaj ◽  
Efi Foufoula-Georgiou ◽  
Pierre-Emmanuel Kirstetter ◽  
F. Joseph Turk
Keyword(s):  
Snow Cover ◽  
Nearest Neighbor ◽  
Solid Phase ◽  
A Priori ◽  
Liquid Water Content ◽  
Phase Detection ◽  
Probability Of False Alarm ◽  
Using Data ◽  
Global Precipitation ◽  
Precipitation Phase

Abstract Monitoring changes of precipitation phase from space is important for understanding the mass balance of Earth’s cryosphere in a changing climate. This paper examines a Bayesian nearest neighbor approach for prognostic detection of precipitation and its phase using passive microwave observations from the Global Precipitation Measurement (GPM) satellite. The method uses the weighted Euclidean distance metric to search through an a priori database populated with coincident GPM radiometer and radar observations as well as ancillary snow-cover data. The algorithm performance is evaluated using data from GPM official precipitation products, ground-based radars, and high-fidelity simulations from the Weather Research and Forecasting Model. Using the presented approach, we demonstrate that the hit probability of terrestrial precipitation detection can reach to 0.80, while the probability of false alarm remains below 0.11. The algorithm demonstrates higher skill in detecting snowfall than rainfall, on average by 10%. In particular, the probability of precipitation detection and its solid phase increases by 11% and 8%, over dry snow cover, when compared to other surface types. The main reason is found to be related to the ability of the algorithm in capturing the signal of increased liquid water content in snowy clouds over radiometrically cold snow-covered surfaces.

Instrumental Analysis in Environmental Chemistry-Liquid and Solid Phase Detection Systems

BioScience ◽  
1974 ◽  
Vol 24 (6) ◽  
pp. 346-349 ◽  
Author(s):  
Donald H. Stedman ◽  
Philip A. Meyers
Keyword(s):  
Environmental Chemistry ◽  
Solid Phase ◽  
Instrumental Analysis ◽  
Phase Detection ◽  
Detection Systems

QUANTIFICATION OF XYLOPIC ACID AND CHROMATOGRAPHIC FINGERPRINT EVALUATIONS OF THE DRIED FRUITS OF XYLOPIA AETHIOPICA FROM FOUR AFRICAN COUNTRIES

2018 ◽  
Vol 15 (3) ◽  
pp. 18
Author(s):  
Raphael N. Alolga ◽  
Assogba G. Assanhou ◽  
Vitus Onoja
Keyword(s):  
High Performance ◽  
Solid Phase ◽  
Fungal Infections ◽  
Active Principle ◽  
Average Content ◽  
African Countries ◽  
Chromatographic Fingerprint ◽  
Dried Fruits ◽  
Detection Techniques ◽  
Xylopia Aethiopica

Dunal) A. Rich, (herein called XYA), family Annonaceae, commonly known as “Guinea pepper”, “Ethiopian pepper” or “Negro pepper”, are widely used in traditional African medicines to treat a wide array of diseases including malaria, fungal infections, rheumatism, arthritis, etc. Scientific investigations have ascribed the following activities to the fruits of XYA; anti-diabetic, anti-inflammatory, antimicrobial, antiplasmodial, analgesic, anti-nociceptive, anti-proliferative, spermatogenic and neuropharmacological effects. The main active principle reported is xylopic acid (XA), a kaurene diterpene. This study aimed to develop and validate a simple HPLC/UV (high performance liquid chromatography – ultraviolet detection) analytical method for the quantification of XA that can be reproduced in poor-resource settings where advanced analytical detection techniques such as HPLC-MS are unavailable. Materials and Methods: Thus in this study, a simple C18 solid-phase extraction (SPE) column-pretreatment ─ HPLC/UV analytical procedure was developed for the quantification of XA in the dried fruits of XYA from four African countries, Benin, Cameroon, Ghana and Nigeria. The samples of XYA from the four countries were assessed for similarities using chromatographic fingerprinting. Results: The HPLC method was validated for linearity, limits of detection and quantification, precision and accuracy. The samples of XYA from Cameroon were found to have the highest average content of XA while those from Benin had the lowest average content of XA. Conclusion: Using the chromatographic fingerprint evaluation, the similarities of the samples from the four countries to the reference chromatogram was in the order: Benin > Cameroon > Nigeria > Ghana. Key words: Xylopia aethiopica, xylopic acid, C18

scholarly journals Comparison of DAD and FLD Detection for Identification of Selected Bisphenols in Human Breast Milk Samples and Their Quantitative Analysis by LC-MS/MS

2020 ◽  
Vol 103 (4) ◽  
pp. 1029-1042
Author(s):  
Tomasz Tuzimski ◽  
Szymon Szubartowski ◽  
Renata Gadzała-Kopciuch ◽  
Andrzej Miturski ◽  
Monika Wójtowicz-Marzec ◽  
...  
Keyword(s):  
Breast Milk ◽  
Solid Phase ◽  
Array Detector ◽  
Human Breast Milk ◽  
Human Breast ◽  
Bisphenol S ◽  
Fluorescence Detector ◽  
Detection Techniques ◽  
Milk Samples

Abstract Background Determination of bisphenols released from packaging material is undoubtedly a difficult and tricky task, requiring the chemical analyst to develop an individual approach to obtain reliable analytical information. Objective QuECHERS (Quick, Easy, Cheap, Effective, Rugged, and Safe)/dispersive solid-phase extraction (d-SPE) technique and high performance liquid chromatography (HPLC) coupled with modern detection techniques such as diode-array detector (DAD), fluorescence detector (FLD) or tandem mass spectrometry (MS/MS) for the determination of bisphenols such as bisphenol A (BPA), bisphenol S (BPS), bisphenol F (BPF), bisphenol B (BPB), 2-[[4-[2-[4-(Oxiran-2-ylmethoxy)phenyl]propan-2yl]phenoxy] methyl]oxirane (BADGE), 3-[4-[2-[4-(Oxiran-2-ylmethoxy)phenyl]propan-2-yl]phenoxy]propane-1,2-diol (BADGE*H2O), 3-[4-[2-[4-(2,3-Dihydroxypropoxy)phenyl]propan-2-yl]phenoxy]propane-1,2-diol (BADGE*2H2O), 1-Chloro-3-[4-[2-[4-(3-chloro-2-hydroxypropoxy)phenyl] propan-2-yl]phenoxy]propan-2-ol (BADGE*2HCl) in human breast milk samples have been performed. Methods For the analysis of total analytes, prior to the extraction with acetonitrile, a deconjugation step was implemented in a tube by adding 1 mL of the enzymatic solution with the β-Glucuronidase to 5 mL of sample. The mix was homogenized and incubated for 17 h at 37°C. Ten milliliters of acetonitrile, and a QuEChERS salt packet with 4 g anhydrous MgSO4 and 1 g NaCl were added. During the d-SPE step the extract was transferred into tube with 30 mg Z-Sep and 50 mg PSA (and also 150 mg MgSO4 for LC-MS/MS analysis). MeOH–water (20:80, v/v) were added to the dry residue and the extract was reconstituted in 150 µL (25-fold analytes pre-concentration is achieved). Next bisphenols were identified by HPLC-DAD-FLD and quantified by LC-MS/MS equipment. Conclusions During the bisphenols HPLC-DAD-FLD analysis, from 6 min a reinforcement of 15 was used, which allowed analytes to be identified at 750 pg/mL. Application of LC-MS/MS allowed quantification of bisphenols in the range from 2.12 to 116.22 ng/mL in a total 27 human breast milk samples. Highlights First QuEChERS/d-SPE coupled with HPLC-DAD-FLD or LC-MS/MS method for the quantification of bisphenols and its analogues in breast milk Faster and cheaper alternative to traditional extraction methods The method was applied for the first biomonitoring of bisphenols and its analogues in breast milk.

Bioanalysis - Method Development, Validation, Sample Preparation, its Detection Techniques and its Application

2021 ◽  
pp. 297-305
Author(s):  
Seema R. Nikam ◽  
Amol S. Jagdale ◽  
Sahebrao S. Boraste ◽  
Shrikant B Patil
Keyword(s):  
Sample Preparation ◽  
Method Development ◽  
Limit Of Detection ◽  
Solid Phase ◽  
Bioequivalence Study ◽  
Time Frame ◽  
Biological Drugs ◽  
Detection Techniques ◽  
Validation Parameters ◽  
Limit Of Quantitation

Quantitatively measurements of chemical and biological drugs and their metabolites in the biological sample. This used in clinical and non-clinical studies. Non clinical including Pharmacokinetic and Toxic kinetic study, and clinical including Bioavailability, Bioequivalence study. This are play significant role and help in improvement in technology and analytical methods. Recent years have witnessed the introduction of several high- quality review articles into the literature covering various scientific and technical aspects of bioanalysis. Method validation and development use for the purpose of suitability of method for their intended purpose, this are important in Drug Discovery and Development. It including a validation parameters are Accuracy, Precision, Range, Calibration Curve, Recovery, Limit of Detection, Limit of Quantitation, Specificity, Selectivity and Stability, Ruggedness. This applicable in bio analysis, FDA and EMA guidelines. There are 3 main Extraction techniques used in sample preparation in bioanalysis is precipitation, liquid –liquid extraction, solid phase extraction. Detection of analyte by using hyphenated and chromatographic techniques like LC-MS/MS, HPLC, GC-MS. This LC-MS/MS is commonly used in a bioanalysis. This bio analysis study used in Pharmaceutical, Biomedical research purpose. Many challenges in pharmaceutical industry that fulfill by the utilization of analytical technologies and high-throughput automated platforms has been employed; in order to perform more experiments in a shorter time frame with increased data quality.

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