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Wang JF, Liu Y, Shao P, Zhu ZY, Ji HD, Du ZX, Wang CC, Liu W, Gao LJ. Efficient ofloxacin degradation via photo-Fenton process over eco-friendly MIL-88A(Fe): Performance, degradation pathways, intermediate library establishment and toxicity evaluation. ENVIRONMENTAL RESEARCH 2022; 210:112937. [PMID: 35157918 DOI: 10.1016/j.envres.2022.112937] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/27/2022] [Accepted: 02/08/2022] [Indexed: 06/14/2023]
Abstract
The high-throughput production of the eco-friendly MIL-88A(Fe) was achieved under mild reaction conditions with normal pressure and temperature. The as-prepared MIL-88A(Fe) exhibited efficient photo-Fenton catalytic ofloxacin (OFL) degradation upon visible light irradiation with good stability and reusability. The OFL (20.0 mg/L) was completely degraded within 50 min under visible light with the aid of MIL-88A(Fe) (0.25 g/L) and H2O2 (1.0 mL/L) in aqueous solution (pH = 7.0). The hydroxyl radicals (·OH) are the main active species during the photo-Fenton oxidation process. Meanwhile, the degradation intermediates and the corresponding degradation pathways were identified and proposed with the aid of both ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) and density functional theory (DFT) calculations. Finally, the degradation product library was firstly established to identify intermediate transformation products (TPs) with their variation of concentration, and their corresponding toxicologic activities were assessed via Toxtree and T.E.S.T software as well. Finally, the MIL-88A is efficient and stable with four cycles' catalysis operations, demonstrating good potential for water treatment.
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Affiliation(s)
- Jian-Feng Wang
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing, 100029, China; Institute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical & Chemical Analysis), Beijing Engineering Research Center of Food Safety Analysis, Beijing, 100089, China
| | - Yan Liu
- Institute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical & Chemical Analysis), Beijing Engineering Research Center of Food Safety Analysis, Beijing, 100089, China
| | - Peng Shao
- Institute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical & Chemical Analysis), Beijing Engineering Research Center of Food Safety Analysis, Beijing, 100089, China
| | - Zhi-Yuan Zhu
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Hao-Dong Ji
- College of Environmental Sciences and Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, 100871, China
| | - Zhen-Xia Du
- Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing, 100029, China.
| | - Chong-Chen Wang
- Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation/Beijing Advanced Innovation Centre for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China.
| | - Wen Liu
- College of Environmental Sciences and Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing, 100871, China
| | - Li-Juan Gao
- Institute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical & Chemical Analysis), Beijing Engineering Research Center of Food Safety Analysis, Beijing, 100089, China
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Sussman EM, Oktem B, Isayeva IS, Liu J, Wickramasekara S, Chandrasekar V, Nahan K, Shin HY, Zheng J. Chemical Characterization and Non-targeted Analysis of Medical Device Extracts: A Review of Current Approaches, Gaps, and Emerging Practices. ACS Biomater Sci Eng 2022; 8:939-963. [PMID: 35171560 DOI: 10.1021/acsbiomaterials.1c01119] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The developers of medical devices evaluate the biocompatibility of their device prior to FDA's review and subsequent introduction to the market. Chemical characterization, described in ISO 10993-18:2020, can generate information for toxicological risk assessment and is an alternative approach for addressing some biocompatibility end points (e.g., systemic toxicity, genotoxicity, carcinogenicity, reproductive/developmental toxicity) that can reduce the time and cost of testing and the need for animal testing. Additionally, chemical characterization can be used to determine whether modifications to the materials and manufacturing processes alter the chemistry of a patient-contacting device to an extent that could impact device safety. Extractables testing is one approach to chemical characterization that employs combinations of non-targeted analysis, non-targeted screening, and/or targeted analysis to establish the identities and quantities of the various chemical constituents that can be released from a device. Due to the difficulty in obtaining a priori information on all the constituents in finished devices, information generation strategies in the form of analytical chemistry testing are often used. Identified and quantified extractables are then assessed using toxicological risk assessment approaches to determine if reported quantities are sufficiently low to overcome the need for further chemical analysis, biological evaluation of select end points, or risk control. For extractables studies to be useful as a screening tool, comprehensive and reliable non-targeted methods are needed. Although non-targeted methods have been adopted by many laboratories, they are laboratory-specific and require expensive analytical instruments and advanced technical expertise to perform. In this Perspective, we describe the elements of extractables studies and provide an overview of the current practices, identified gaps, and emerging practices that may be adopted on a wider scale in the future. This Perspective is outlined according to the steps of an extractables study: information gathering, extraction, extract sample processing, system selection, qualification, quantification, and identification.
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Affiliation(s)
- Eric M Sussman
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Berk Oktem
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Irada S Isayeva
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Jinrong Liu
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Samanthi Wickramasekara
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Vaishnavi Chandrasekar
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Keaton Nahan
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Hainsworth Y Shin
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
| | - Jiwen Zheng
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland 20993, United States
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Place BJ, Ulrich EM, Challis JK, Chao A, Du B, Favela K, Feng YL, Fisher CM, Gardinali P, Hood A, Knolhoff AM, McEachran AD, Nason SL, Newton SR, Ng B, Nuñez J, Peter KT, Phillips AL, Quinete N, Renslow R, Sobus JR, Sussman EM, Warth B, Wickramasekara S, Williams AJ. An Introduction to the Benchmarking and Publications for Non-Targeted Analysis Working Group. Anal Chem 2021; 93:16289-16296. [PMID: 34842413 PMCID: PMC8848292 DOI: 10.1021/acs.analchem.1c02660] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Non-targeted analysis (NTA) encompasses a rapidly evolving set of mass spectrometry techniques aimed at characterizing the chemical composition of complex samples, identifying unknown compounds, and/or classifying samples, without prior knowledge regarding the chemical content of the samples. Recent advances in NTA are the result of improved and more accessible instrumentation for data generation and analysis tools for data evaluation and interpretation. As researchers continue to develop NTA approaches in various scientific fields, there is a growing need to identify, disseminate, and adopt community-wide method reporting guidelines. In 2018, NTA researchers formed the Benchmarking and Publications for Non-Targeted Analysis Working Group (BP4NTA) to address this need. Consisting of participants from around the world and representing fields ranging from environmental science and food chemistry to 'omics and toxicology, BP4NTA provides resources addressing a variety of challenges associated with NTA. Thus far, BP4NTA group members have aimed to establish a consensus on NTA-related terms and concepts and to create consistency in reporting practices by providing resources on a public Web site, including consensus definitions, reference content, and lists of available tools. Moving forward, BP4NTA will provide a setting for NTA researchers to continue discussing emerging challenges and contribute to additional harmonization efforts.
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Affiliation(s)
- Benjamin J. Place
- National Institute of Standards and Technology, Gaithersburg, MD, USA 20899,Corresponding author,
| | - Elin M. Ulrich
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA 27711
| | | | - Alex Chao
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA 27711
| | - Bowen Du
- Southern California Coastal Water Research Project Authority, Costa Mesa, CA, USA 92626
| | - Kristin Favela
- Southwest Research Institute, San Antonio, TX, USA 78238
| | - Yong-Lai Feng
- Exposure and Biomonitoring Division, Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada, K1A 0K9
| | - Christine M. Fisher
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, USA 20740
| | - Piero Gardinali
- Institute of Environment & Department of Chemistry and Biochemistry, Florida International University, North Miami, FL 33181
| | - Alan Hood
- U.S. Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA 20993
| | - Ann M. Knolhoff
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, USA 20740
| | | | - Sara L. Nason
- Connecticut Agricultural Experiment Station, New Haven, CT, USA 06511
| | - Seth R. Newton
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA 27711
| | - Brian Ng
- Institute of Environment & Department of Chemistry and Biochemistry, Florida International University, North Miami, FL 33181
| | - Jamie Nuñez
- Pacific Northwest National Laboratory, Richland, WA, USA 99352
| | - Katherine T. Peter
- National Institute of Standards and Technology, Charleston, SC, USA 29412
| | - Allison L. Phillips
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, NC, USA 27711
| | - Natalia Quinete
- Institute of Environment & Department of Chemistry and Biochemistry, Florida International University, North Miami, FL 33181
| | - Ryan Renslow
- Pacific Northwest National Laboratory, Richland, WA, USA 99352
| | - Jon R. Sobus
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA 27711
| | - Eric M. Sussman
- U.S. Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA 20993
| | - Benedikt Warth
- Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
| | - Samanthi Wickramasekara
- U.S. Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, MD, USA 20993
| | - Antony J. Williams
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA 27711
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Sun X, Zheng X, Tang Y, Debrah AA, Du Z. Supercritical Fluid Extraction Combined with Ultrahigh Performance Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry for Determination of Extractables to Evaluate Compatibility of Drugs with Rubber Closures. AAPS PharmSciTech 2021; 22:50. [PMID: 33458791 DOI: 10.1208/s12249-020-01907-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 12/18/2020] [Indexed: 01/22/2023] Open
Abstract
Biological activity and pharmacological efficacy of protein drugs may be affected by the compatibility between drug and packaging materials. The compatibility of rubber closures seal cap has become the focus of many studies due to its complicated formulation. Despite of the significance of the issue, currently, there is little available data about organic leachables in drugs which is also not comprehensive. Since the concentration of migrants in drug is usually low and the matrix is complicated, the establishment of overall profile of extractables is crucial for the characterization of leachables. Herein, the supercritical fluid extraction (SFE) method was used because of its great extraction capacity and efficiency for low to medium polar extractables in rubber stoppers. The SFE conditions were optimized by response surface methodology (RSM). Experimental results of the extract yield were close to the predicted values (R2 = 0.95). Then the extractables were qualitatively and quantitatively analyzed with ultrahigh performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-QTOF MS). Finally, risk assessment was made by comparing predicted exposure with injection permitted daily exposure (pPDE) limit or threshold recommended by threshold of toxicological concern (TTC). The results showed that there are many extractables such as glyceride, fatty acids and derivatives, antioxidants, and degradation products. Among them degradation products were in the majority and content of 17 substances exceeded corresponding limits. Considering their unknown toxicology, more experiments are therefore needed to provide information on their toxicology and risk assessment. The study provides a reference for the compatibility of drugs, and quality supervision of pharmaceuticals packaging.
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Wu F, Zhou Y, Li L, Shen X, Chen G, Wang X, Liang X, Tan M, Huang Z. Computational Approaches in Preclinical Studies on Drug Discovery and Development. Front Chem 2020; 8:726. [PMID: 33062633 PMCID: PMC7517894 DOI: 10.3389/fchem.2020.00726] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 07/14/2020] [Indexed: 12/11/2022] Open
Abstract
Because undesirable pharmacokinetics and toxicity are significant reasons for the failure of drug development in the costly late stage, it has been widely recognized that drug ADMET properties should be considered as early as possible to reduce failure rates in the clinical phase of drug discovery. Concurrently, drug recalls have become increasingly common in recent years, prompting pharmaceutical companies to increase attention toward the safety evaluation of preclinical drugs. In vitro and in vivo drug evaluation techniques are currently more mature in preclinical applications, but these technologies are costly. In recent years, with the rapid development of computer science, in silico technology has been widely used to evaluate the relevant properties of drugs in the preclinical stage and has produced many software programs and in silico models, further promoting the study of ADMET in vitro. In this review, we first introduce the two ADMET prediction categories (molecular modeling and data modeling). Then, we perform a systematic classification and description of the databases and software commonly used for ADMET prediction. We focus on some widely studied ADMT properties as well as PBPK simulation, and we list some applications that are related to the prediction categories and web tools. Finally, we discuss challenges and limitations in the preclinical area and propose some suggestions and prospects for the future.
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Affiliation(s)
- Fengxu Wu
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, China
| | - Yuquan Zhou
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, China
| | - Langhui Li
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Xianhuan Shen
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Ganying Chen
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, China
| | - Xiaoqing Wang
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Xianyang Liang
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- The Second School of Clinical Medicine, Guangdong Medical University, Dongguan, China
| | - Mengyuan Tan
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
| | - Zunnan Huang
- Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Research Platform Service Management Center, Dongguan, China
- Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, China
- Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, China
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Cui Y, Shi X, Tang Y, Xie Y, Du Z. The effects of heat treatment and fermentation processes on the formation of furfurals in milk-based dairy products using a QuEChERS technique followed by gas chromatography coupled with triple quadrupole mass spectrometry. Food Chem 2020; 313:125930. [PMID: 31923863 DOI: 10.1016/j.foodchem.2019.125930] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 11/14/2019] [Accepted: 11/18/2019] [Indexed: 11/19/2022]
Abstract
A method based on gas chromatography coupled with triple quadrupole mass spectrometry (GC-MS/MS) combined with QuEChERS extraction was developed to detect furfurals, including furfural, 2-acetylfuran, 5-methyl-2-furfural, and 5-hydroxymethyl-2-furfural, in milk-based dairy products. Under the optimized conditions, good linearity was obtained with correlation coefficients (R2) above 0.999, and the recovery values from the spiked samples were 79.0%-115.0% with relative standard deviations (RSDs) less than 13.1%. The limits of detection (LODS) were in the range of 0.002-0.02 mg/kg. To investigate the effects of the production process on milk-based dairy products, 55 real samples were analysed. The higher contents of furfurals were observed when higher temperatures were used during heat treatment and fermentation. In addition, the Toxtree and T.E.S.T. software programs were used to predict the risks associated with these four furfurals. Ultimately, safe dairy intake levels were determined.
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Affiliation(s)
- Yuying Cui
- College of Chemistry, Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China
| | - Xiaomei Shi
- Nutrition & Health Research Institute, COFCO Corporation, Beijing Key Laboratory of Nutrition Health and Food Safety, Beijing 102209, People's Republic of China
| | - Yan Tang
- College of Chemistry, Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China
| | - Yunfeng Xie
- Nutrition & Health Research Institute, COFCO Corporation, Beijing Key Laboratory of Nutrition Health and Food Safety, Beijing 102209, People's Republic of China.
| | - Zhenxia Du
- College of Chemistry, Beijing Key Laboratory of Environmentally Harmful Chemical Analysis, Beijing University of Chemical Technology, Beijing 100029, People's Republic of China.
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Application of dispersive liquid-liquid microextraction based on solidification of floating organic drop for the determination of extractables from pharmaceutical packaging materials. Talanta 2019; 209:120540. [PMID: 31891992 DOI: 10.1016/j.talanta.2019.120540] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 10/26/2019] [Accepted: 11/03/2019] [Indexed: 02/05/2023]
Abstract
A new method was established for the determination of the extractables from pharmaceutical packaging materials using dispersive liquid-liquid microextraction based on solidification of floating organic drop (DLLME-SFO) coupled with ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-QTOF MS). Packaging samples were filled with three kinds of buffer solutions: acid buffer (pH = 3), alkaline buffer (pH = 9) and 0.9% NaCl solution to extract as many extractables as possible, and then the extractables in buffer solutions were enriched by DLLME-SFO technique. Parameters affecting the efficiency of the extraction procedure were evaluated and optimized, including the type and volume of dispersant, extractant volume, pH and vortex-mixing time. After optimization, the values obtained for limits of detection and quantification for three kinds of common antioxidants were 0.3 and 1.0 μg/L respectively, and good linearity (R2 > 0.99) was observed in their respective concentration ranges. The recoveries ranged from 80.61% to 117.87% at three spiked levels with the relative standard deviations (RSDs) between 0.92% and 9.29% (n = 6) in all three buffer solutions. The developed method was successfully applied to the analysis of extractables from pharmaceutical packaging materials. The results indicated that the proposed procedure is a novel, sensitive, fast and repeatable method and has a great significance for evaluation of safety of pharmaceutical packaging materials.
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Scherer N, Marcseková K, Posset T, Winter G. New studies on leachables in commercial scale protein drug filling lines using stir bar sorptive extraction coupled with TD-GC–MS and UPLC/QTOF-MS/MS analytics. Int J Pharm 2019; 555:404-419. [DOI: 10.1016/j.ijpharm.2018.11.033] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 11/11/2018] [Accepted: 11/14/2018] [Indexed: 11/28/2022]
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