Multi-Residue Automated Turbulent Flow Online LC-MS/MS Method for the Determination of Antibiotics in Milk
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Transdermal Drug Delivery Device Including An
(19) TZZ_ZZ¥¥_T (11) EP 1 807 033 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: A61F 13/02 (2006.01) A61L 15/16 (2006.01) 20.07.2016 Bulletin 2016/29 (86) International application number: (21) Application number: 05815555.7 PCT/US2005/035806 (22) Date of filing: 07.10.2005 (87) International publication number: WO 2006/044206 (27.04.2006 Gazette 2006/17) (54) TRANSDERMAL DRUG DELIVERY DEVICE INCLUDING AN OCCLUSIVE BACKING VORRICHTUNG ZUR TRANSDERMALEN VERABREICHUNG VON ARZNEIMITTELN EINSCHLIESSLICH EINER VERSTOPFUNGSSICHERUNG DISPOSITIF D’ADMINISTRATION TRANSDERMIQUE DE MEDICAMENTS AVEC COUCHE SUPPORT OCCLUSIVE (84) Designated Contracting States: • MANTELLE, Juan AT BE BG CH CY CZ DE DK EE ES FI FR GB GR Miami, FL 33186 (US) HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI • NGUYEN, Viet SK TR Miami, FL 33176 (US) (30) Priority: 08.10.2004 US 616861 P (74) Representative: Awapatent AB P.O. Box 5117 (43) Date of publication of application: 200 71 Malmö (SE) 18.07.2007 Bulletin 2007/29 (56) References cited: (73) Proprietor: NOVEN PHARMACEUTICALS, INC. WO-A-02/36103 WO-A-97/23205 Miami, FL 33186 (US) WO-A-2005/046600 WO-A-2006/028863 US-A- 4 994 278 US-A- 4 994 278 (72) Inventors: US-A- 5 246 705 US-A- 5 474 783 • KANIOS, David US-A- 5 474 783 US-A1- 2001 051 180 Miami, FL 33196 (US) US-A1- 2002 128 345 US-A1- 2006 034 905 Note: Within nine months of the publication of the mention of the grant of the European patent in the European Patent Bulletin, any person may give notice to the European Patent Office of opposition to that patent, in accordance with the Implementing Regulations. -
An End-To-End Workflow for Quantitative Screening of Multiclass, Multiresidue Veterinary Drugs in Meat Using the Agilent 6470 Triple Quadrupole LC/MS
Application Note Food Testing & Agriculture An End-To-End Workflow for Quantitative Screening of Multiclass, Multiresidue Veterinary Drugs in Meat Using the Agilent 6470 Triple Quadrupole LC/MS Authors Abstract Siji Joseph, Aimei Zou, Chee A comprehensive LC/MS/MS workflow was developed for targeted screening or Sian Gan, Limian Zhao, and quantitation of 210 veterinary drug residues in animal muscle prepared for human Patrick Batoon consumption, with the intention to accelerate and simplify routine laboratory testing. Agilent Technologies, Inc. The workflow ranged from sample preparation through chromatographic separation, MS detection, data processing and analysis, and report generation. The workflow performance was evaluated using three muscle matrices—chicken, pork, and beef— and was assessed on two different Agilent triple quadrupole LC/MS models (an Agilent 6470 and a 6495C triple quadrupole LC/MS). A simple sample preparation protocol using Agilent Captiva EMR—Lipid cartridges provided efficient extraction and matrix cleanup. A single chromatographic method using Agilent InfinityLab Poroshell 120 EC-C18 columns with a 13-minute method delivered acceptable separation and retention time distribution across the elution window for reliable triple quadrupole detection and data analysis. Workflow performance was evaluated based on evaluation of limit of detection (LOD), limit of quantitation (LOQ), calibration curve linearity, accuracy, precision, and recovery, using matrix-matched spike samples for a range from 0.1 to 100 μg/L. Calibration curves were plotted from LOQ to 100 μg/L, where all analytes demonstrated linearity R2 >0.99. Instrument method accuracy values were within 73 to 113%. Target analytes response and retention time %RSD values were ≤19% and ≤0.28% respectively. -
A Class-Selective Immunoassay for Sulfonamides Residue Detection in Milk Using a Superior Polyclonal Antibody with Broad Specificity and Highly Uniform Affinity
Article A Class-Selective Immunoassay for Sulfonamides Residue Detection in Milk Using a Superior Polyclonal Antibody with Broad Specificity and Highly Uniform Affinity Chenglong Li 1, Xiangshu Luo 1, Yonghan Li 2, Huijuan Yang 1, Xiao Liang 3, Kai Wen 1, Yanxin Cao 1, Chao Li 1, Weiyu Wang 1, Weimin Shi 1, Suxia Zhang 1, Xuezhi Yu 1,* and Zhanhui Wang 1 1 Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal- Derived Food Safety, Beijing Laboratory of Food Quality and Safety, 100193 Beijing, China; [email protected] (C.L.); [email protected] (X.L.); [email protected] (H.Y.); [email protected] (K.W.); [email protected] (Y.C.); [email protected] (C.L.); [email protected] (W.W.); [email protected] (W.S.); [email protected] (S.Z.); [email protected] (Z.W.) 2 Henan Animal Health Supervision Institute, 450008 Zhengzhou, China; [email protected] 3 College of Veterinary Medicine, Qingdao Agricultural University, 266109 Qingdao, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-62734565; Fax: +86-10-62731032 Academic Editors: Patricia Regal and Carlos M. Franco Received: 13 December 2018; Accepted: 24 January 2019; Published: 26 January 2019 Abstract: The development of multianalyte immunoassays with an emphasis on food safety has attracted increasing interest, due to its high target throughput, short detection time, reduced sample consumption, and low overall cost. In this study, a superior polyclonal antibody (pAb) against sulfonamides (SAs) was raised by using a bioconjugate of bovine serum albumin with a rationally designed hapten 4-[(4-aminophenyl) sulfonyl-amino]-2-methoxybenzoic acid (SA10-X). -
Identification and Analysis of Hepatitis C Virus NS3 Helicase Inhibitors Using Nucleic Acid Binding Assays Sourav Mukherjee1, Alicia M
Published online 27 June 2012 Nucleic Acids Research, 2012, Vol. 40, No. 17 8607–8621 doi:10.1093/nar/gks623 Identification and analysis of hepatitis C virus NS3 helicase inhibitors using nucleic acid binding assays Sourav Mukherjee1, Alicia M. Hanson1, William R. Shadrick1, Jean Ndjomou1, Noreena L. Sweeney1, John J. Hernandez1, Diana Bartczak1, Kelin Li2, Kevin J. Frankowski2, Julie A. Heck3, Leggy A. Arnold1, Frank J. Schoenen2 and David N. Frick1,* 1Department of Chemistry and Biochemistry, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, 2University of Kansas Specialized Chemistry Center, University of Kansas, 2034 Becker Dr., Lawrence, KS 66047 and 3Department of Biochemistry and Molecular Biology, New York Medical College, Valhalla, NY 10595, USA Received March 26, 2012; Revised May 30, 2012; Accepted June 4, 2012 Downloaded from ABSTRACT INTRODUCTION Typical assays used to discover and analyze small All cells and viruses need helicases to read, replicate and molecules that inhibit the hepatitis C virus (HCV) repair their genomes. Cellular organisms encode NS3 helicase yield few hits and are often con- numerous specialized helicases that unwind DNA, RNA http://nar.oxfordjournals.org/ founded by compound interference. Oligonucleotide or displace nucleic acid binding proteins in reactions binding assays are examined here as an alternative. fuelled by ATP hydrolysis. Small molecules that inhibit After comparing fluorescence polarization (FP), helicases would therefore be valuable as molecular homogeneous time-resolved fluorescence (HTRFÕ; probes to understand the biological role of a particular Cisbio) and AlphaScreenÕ (Perkin Elmer) assays, helicase, or as antibiotic or antiviral drugs (1,2). For an FP-based assay was chosen to screen Sigma’s example, several compounds that inhibit a helicase Library of Pharmacologically Active Compounds encoded by herpes simplex virus (HSV) are potent drugs in animal models (3,4). -
Alphabetical Listing of ATC Drugs & Codes
Alphabetical Listing of ATC drugs & codes. Introduction This file is an alphabetical listing of ATC codes as supplied to us in November 1999. It is supplied free as a service to those who care about good medicine use by mSupply support. To get an overview of the ATC system, use the “ATC categories.pdf” document also alvailable from www.msupply.org.nz Thanks to the WHO collaborating centre for Drug Statistics & Methodology, Norway, for supplying the raw data. I have intentionally supplied these files as PDFs so that they are not quite so easily manipulated and redistributed. I am told there is no copyright on the files, but it still seems polite to ask before using other people’s work, so please contact <[email protected]> for permission before asking us for text files. mSupply support also distributes mSupply software for inventory control, which has an inbuilt system for reporting on medicine usage using the ATC system You can download a full working version from www.msupply.org.nz Craig Drown, mSupply Support <[email protected]> April 2000 A (2-benzhydryloxyethyl)diethyl-methylammonium iodide A03AB16 0.3 g O 2-(4-chlorphenoxy)-ethanol D01AE06 4-dimethylaminophenol V03AB27 Abciximab B01AC13 25 mg P Absorbable gelatin sponge B02BC01 Acadesine C01EB13 Acamprosate V03AA03 2 g O Acarbose A10BF01 0.3 g O Acebutolol C07AB04 0.4 g O,P Acebutolol and thiazides C07BB04 Aceclidine S01EB08 Aceclidine, combinations S01EB58 Aceclofenac M01AB16 0.2 g O Acefylline piperazine R03DA09 Acemetacin M01AB11 Acenocoumarol B01AA07 5 mg O Acepromazine N05AA04 -
Federal Register / Vol. 60, No. 80 / Wednesday, April 26, 1995 / Notices DIX to the HTSUS—Continued
20558 Federal Register / Vol. 60, No. 80 / Wednesday, April 26, 1995 / Notices DEPARMENT OF THE TREASURY Services, U.S. Customs Service, 1301 TABLE 1.ÐPHARMACEUTICAL APPEN- Constitution Avenue NW, Washington, DIX TO THE HTSUSÐContinued Customs Service D.C. 20229 at (202) 927±1060. CAS No. Pharmaceutical [T.D. 95±33] Dated: April 14, 1995. 52±78±8 ..................... NORETHANDROLONE. A. W. Tennant, 52±86±8 ..................... HALOPERIDOL. Pharmaceutical Tables 1 and 3 of the Director, Office of Laboratories and Scientific 52±88±0 ..................... ATROPINE METHONITRATE. HTSUS 52±90±4 ..................... CYSTEINE. Services. 53±03±2 ..................... PREDNISONE. 53±06±5 ..................... CORTISONE. AGENCY: Customs Service, Department TABLE 1.ÐPHARMACEUTICAL 53±10±1 ..................... HYDROXYDIONE SODIUM SUCCI- of the Treasury. NATE. APPENDIX TO THE HTSUS 53±16±7 ..................... ESTRONE. ACTION: Listing of the products found in 53±18±9 ..................... BIETASERPINE. Table 1 and Table 3 of the CAS No. Pharmaceutical 53±19±0 ..................... MITOTANE. 53±31±6 ..................... MEDIBAZINE. Pharmaceutical Appendix to the N/A ............................. ACTAGARDIN. 53±33±8 ..................... PARAMETHASONE. Harmonized Tariff Schedule of the N/A ............................. ARDACIN. 53±34±9 ..................... FLUPREDNISOLONE. N/A ............................. BICIROMAB. 53±39±4 ..................... OXANDROLONE. United States of America in Chemical N/A ............................. CELUCLORAL. 53±43±0 -
Automated Online Multi-Residue LC-MS/MS Method for the Determinationof Antibiotics in Chicken Meat
Automated Online Multi-Residue Method LC-MS/MS Method for the Determination of Antibiotics in Chicken Meat 63646 Katerina Bousova, Klaus Mittendorf, Thermo Fisher Scientific Food Safety Response Center, Dreieich, Germany Key Words 2. Introduction Antibiotics, Transcend TLX, TurboFlow Technology, Throughout the world, antibiotics are widely used for TSQ Quantum Access MAX, Chicken meat, Food Safety veterinary purposes to treat diseased animals, prevent diseases and promote growth. Due to inappropriate or excessive usage of antibiotics, residues of these compounds 1. Schematic of Method can be found in food and food products of animal origin. The use of antibiotics cannot be avoided; however, it is necessary to ensure the safety of food and food products Sample Homogenization for human consumption. For this reason, the European Commission has established maximum residue limits (MRLs) for antibiotics in animal tissue, milk and eggs in 1 1. Weigh 500 mg sample into 2 mL Council Regulation 2377/90/EC. To detect and quantify centrifuge tube antibiotics for regulatory purposes, laboratories need to utilize suitable analytical methods. With the number of samples to be checked for the presence Sample 500 mg + IS of antibiotic residues increasing, the need for multi-analyte methods that can efficiently handle high throughputs is growing as well. Generally, methods used for monitoring 2. Add 950 µL ACN:2%TCA (45:55) and 50 µL working IS solution antibiotic residues can be classified in two groups: screening and confirmatory. 3. Vortex sample for 5 minutes For fast screening of antibiotic residues, an immunoassay, microbiological assay or biosensor technique is typically Extraction used. -
Cytochrome P450 Drug Interaction Table
SUBSTRATES 1A2 2B6 2C8 2C9 2C19 2D6 2E1 3A4,5,7 amitriptyline bupropion paclitaxel NSAIDs: Proton Pump Beta Blockers: Anesthetics: Macrolide antibiotics: caffeine cyclophosphamide torsemide diclofenac Inhibitors: carvedilol enflurane clarithromycin clomipramine efavirenz amodiaquine ibuprofen lansoprazole S-metoprolol halothane erythromycin (not clozapine ifosfamide cerivastatin lornoxicam omeprazole propafenone isoflurane 3A5) cyclobenzaprine methadone repaglinide meloxicam pantoprazole timolol methoxyflurane NOT azithromycin estradiol S-naproxen_Nor rabeprazole sevoflurane telithromycin fluvoxamine piroxicam Antidepressants: haloperidol suprofen Anti-epileptics: amitriptyline acetaminophen Anti-arrhythmics: imipramine N-DeMe diazepam Nor clomipramine NAPQI quinidine 3OH (not mexilletine Oral Hypoglycemic phenytoin(O) desipramine aniline2 3A5) naproxen Agents: S-mephenytoin imipramine benzene olanzapine tolbutamide phenobarbitone paroxetine chlorzoxazone Benzodiazepines: ondansetron glipizide ethanol alprazolam phenacetin_ amitriptyline Antipsychotics: N,N-dimethyl diazepam 3OH acetaminophen NAPQI Angiotensin II carisoprodol haloperidol formamide midazolam propranolol Blockers: citalopram perphenazine theophylline triazolam riluzole losartan chloramphenicol risperidone 9OH 8-OH ropivacaine irbesartan clomipramine thioridazine Immune Modulators: tacrine cyclophosphamide zuclopenthixol cyclosporine theophylline Sulfonylureas: hexobarbital tacrolimus (FK506) tizanidine glyburide imipramine N-DeME alprenolol verapamil glibenclamide indomethacin -
Final1-Aritmo-Final-Report-V2-0Final.Pdf
ARITMO Final Report PROJECT FINAL REPORT Grant Agreement number: 241679 Project acronym: ARITMO Project title: Arrhythmogenic potential of drugs Funding Scheme: Small or Medium-Scale Focused Research Project Period covered: from 1st January 2010 to 30th June 2013 Name of the scientific representative of the project's co-ordinator, Title and Organisation: Prof. Miriam CJM Sturkenboom, Erasmus Universitair Medisch Centrum Rotterdam Tel: +31 10 704 4126 Fax: +31 10 704 4722 E-mail: [email protected] Project website1 address: www.aritmo-project.org 1 The home page of the website should contain the generic European flag and the FP7 logo which are available in electronic format at the Europa website (logo of the European flag: http://europa.eu/abc/symbols/emblem/index_en.htm ; logo of the 7th FP: http://ec.europa.eu/research/fp7/index_en.cfm?pg=logos). The area of activity of the project should also be mentioned. © Copyright 2013 ARITMO Consortium 1 ARITMO Final Report Table of contents Table of contents ................................................................................................................................................................. 2 1. Final publishable summary report ................................................................................................................................ 3 1.1 Executive summary ................................................................................................................................................. 3 1.2 Description of project context and -
Common Study Protocol for Observational Database Studies WP5 – Analytic Database Studies
Arrhythmogenic potential of drugs FP7-HEALTH-241679 http://www.aritmo-project.org/ Common Study Protocol for Observational Database Studies WP5 – Analytic Database Studies V 1.3 Draft Lead beneficiary: EMC Date: 03/01/2010 Nature: Report Dissemination level: D5.2 Report on Common Study Protocol for Observational Database Studies WP5: Conduct of Additional Observational Security: Studies. Author(s): Gianluca Trifiro’ (EMC), Giampiero Version: v1.1– 2/85 Mazzaglia (F-SIMG) Draft TABLE OF CONTENTS DOCUMENT INFOOMATION AND HISTORY ...........................................................................4 DEFINITIONS .................................................... ERRORE. IL SEGNALIBRO NON È DEFINITO. ABBREVIATIONS ......................................................................................................................6 1. BACKGROUND .................................................................................................................7 2. STUDY OBJECTIVES................................ ERRORE. IL SEGNALIBRO NON È DEFINITO. 3. METHODS ..........................................................................................................................8 3.1.STUDY DESIGN ....................................................................................................................8 3.2.DATA SOURCES ..................................................................................................................9 3.2.1. IPCI Database .....................................................................................................9 -
Large-Scale Chemical–Genetics Yields New M. Tuberculosis Inhibitor Classes Eachan O
ARTICLE https://doi.org/10.1038/s41586-019-1315-z Large-scale chemical–genetics yields new M. tuberculosis inhibitor classes Eachan O. Johnson1,2,3, Emily LaVerriere1,8, Emma Office1, Mary Stanley1,9, Elisabeth Meyer1,10, Tomohiko Kawate1,2,3, James E. Gomez1, Rebecca E. Audette4,11, Nirmalya Bandyopadhyay1, Natalia Betancourt5,12, Kayla Delano1, Israel Da Silva5, Joshua Davis1,13, Christina Gallo1,14, Michelle Gardner4, Aaron J. Golas1, Kristine M. Guinn4, Sofia Kennedy1, Rebecca Korn1, Jennifer A. McConnell5, Caitlin E. Moss6,15, Kenan C. Murphy6, Raymond M. Nietupski1, Kadamba G. Papavinasasundaram6, Jessica T. Pinkham4, Paula A. Pino5, Megan K. Proulx6, Nadine Ruecker5, Naomi Song5, Matthew Thompson1,16, Carolina Trujillo5, Shoko Wakabayashi4, Joshua B. Wallach5, Christopher Watson1,17, Thomas R. Ioerger7, Eric S. Lander1, Brian K. Hubbard1, Michael H. Serrano-Wu1, Sabine Ehrt5, Michael Fitzgerald1, Eric J. Rubin4, Christopher M. Sassetti6, Dirk Schnappinger5 & Deborah T. Hung1,2,3* New antibiotics are needed to combat rising levels of resistance, with new Mycobacterium tuberculosis (Mtb) drugs having the highest priority. However, conventional whole-cell and biochemical antibiotic screens have failed. Here we develop a strategy termed PROSPECT (primary screening of strains to prioritize expanded chemistry and targets), in which we screen compounds against pools of strains depleted of essential bacterial targets. We engineered strains that target 474 essential Mtb genes and screened pools of 100–150 strains against activity-enriched and unbiased compound libraries, probing more than 8.5 million chemical–genetic interactions. Primary screens identified over tenfold more hits than screening wild-type Mtb alone, with chemical–genetic interactions providing immediate, direct target insights. -
Statistical Analysis Plan / Data Specifications the Risk of Acute Liver Injury Associated with the Use of Antibiotics. a Replica
WP6 validation on methods involving an extended audience Statistical analysis plan / data specifications The risk of acute liver injury associated with the use of antibiotics. A replication study in the Utrecht Patient Oriented Database Version: July 11, 2013 Authors: Renate Udo, Marie L De Bruin Reviewers: Work package 6 members (David Irvine, Stephany Tcherny-Lessenot) 1 1. Context The study described in this protocol is performed within the framework of PROTECT (Pharmacoepidemiological Research on Outcomes of Therapeutics by a European ConsorTium). The overall objective of PROTECT is to strengthen the monitoring of the benefit-risk of medicines in Europe. Work package 6 “validation on methods involving an extended audience” aims to test the transferability/feasibility of methods developed in other WPs (in particular WP2 and WP5) in a range of data sources owned or managed by Consortium Partners or members of the Extended Audience. The specific aims of this study within WP6 are: to evaluate the external validity of the study protocol on the risk of acute liver injury associated with the use of antibiotics by replicating the study protocol in another database, to study the impact of case validation on the effect estimate for the association between antibiotic exposure and acute liver injury. Of the selected drug-adverse event pairs selected in PROTECT, this study will concentrate on the association between antibiotic use and acute liver injury. On this topic, two sub-studies are performed: a descriptive/outcome validation study and an association study. The descriptive/outcome validation study has been conducted within the Utrecht Patient Oriented Database (UPOD).