A comparison of confirmatory method development and validation of antibiotic

nitrofuran metabolites (amoz, aoz, ahd and sem) in fish and shrimp matrix among some lc-ms/ms systems (hplc-quattro micro api, uplc-quattro premier xe and uplc-tqd)

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Journal name: World Journal of Pharmaceutical Research
Original article title: A comparison of confirmatory method development and validation of antibiotic
The WJPR includes peer-reviewed publications such as scientific research papers, reports, review articles, company news, thesis reports and case studies in areas of Biology, Pharmaceutical industries and Chemical technology while incorporating ancient fields of knowledge such combining Ayurveda with scientific data.
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Subtitle: nitrofuran metabolites (amoz, aoz, ahd and sem) in fish and shrimp matrix among some lc-ms/ms systems (hplc-quattro micro api, uplc-quattro premier xe and uplc-tqd)

Original source:

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Author:

Md. Ashraful Alam, Akter Mst Yeasmin, Talukdar Muhammad Waliullah, Saleh Ahmed and Md. Manik Mia


World Journal of Pharmaceutical Research:

(An ISO 9001:2015 Certified International Journal)

Full text available for: A comparison of confirmatory method development and validation of antibiotic

Source type: An International Peer Reviewed Journal for Pharmaceutical and Medical and Scientific Research

Copyright (license): WJPR: All rights reserved


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Summary of article contents:

Introduction

The study conducted by Md. Ashraful Alam et al. focused on developing confirmatory methods for the detection and validation of banned antibiotic residues, specifically nitrofuran metabolites (AMOZ, AOZ, AHD, and SEM), in fish and shrimp matrices. Utilizing various liquid chromatography-tandem mass spectrometry (LC-MS/MS) systems, including HPLC-MS/MS (Quattro Micro API), UPLC-Quattro Premier XE, and UPLC-TQD, the study aimed to ensure compliance with EU regulations regarding the safety and quality of food products, especially those entering the European market.

Importance of Nitrofurans and Their Regulation

Nitrofurans, such as furazolidone and nitrofurazone, are synthetic antibiotics used extensively in agriculture to promote growth in livestock and aquaculture, as well as to treat bacterial and protozoan infections. However, due to their carcinogenic potential and adverse health effects, the European Union has prohibited their use in food production. Consequently, countries exporting products to the EU must adhere to strict regulations to ensure that these drugs are not present in food products at any detectable levels. This regulation underscores the importance of developing reliable analytical methods to detect nitrofuran residues in food products.

Analytical Method Development and Validation

In the study, the authors developed methods for the extraction, separation, and quantification of nitrofuran metabolites. Using gradient elution techniques and specific columns suited for HPLC and UPLC, the methods enabled efficient separation of the metabolites. The validation process adhered to the criteria established by Commission Decision 2002/657/EC, ensuring that linearity, precision, recovery rates, and detection limits met regulatory standards. For instance, the calibration curves displayed robust linearity with correlation coefficients above 0.997, showcasing the methods' sensitivity in detecting low levels of contaminants.

Recovery Rates and Results

The precision of the developed methods was measured through recovery studies across varying fortification levels. Recovery rates for the spiked samples ranged from 88% to 113%, indicating consistent performance in estimating the presence of nitrofuran metabolites. The decision limit (CCα) and detection capability (CCβ) values obtained were consistently below the minimum required performance limit (MRPL) of 1 µg/kg established for these compounds, affirming the reliability of the methods. Data analysis demonstrated that the developed methods could identify nitrofuran residues accurately, contributing significantly to food safety and public health.

Conclusion

This research led to the successful development and validation of reliable methods for detecting banned nitrofuran metabolites in fish and shrimp. By aligning with stringent EU regulations, the study provided a significant advancement in food safety testing, emphasizing the importance of regular monitoring in agricultural practices. The work also highlights the ongoing challenge in ensuring food safety, particularly as it pertains to the use of antibiotics in livestock and aquaculture. The findings could serve as a basis for further research and improvements in analytical methods for monitoring drug residues in food products globally.

FAQ section (important questions/answers):

What antibiotics were studied in this research on fish and shrimp?

The study focused on nitrofuran metabolites, specifically AMOZ, AOZ, AHD, and SEM, in fish and shrimp matrices.

What methods were used for validation of the antibiotic detection?

The validation was conducted using HPLC-MS/MS, AQUITY UPLC-TQD, and AQUITY UPLC-Quattro Premier XE systems, following the criteria of Commission Decision 2002/657/EC.

What were the limits of detection for nitrofuran metabolites?

The decision limits (CCα) ranged from 0.12-0.23 ng/g, and detection capabilities (CCβ) ranged from 0.21-0.38 ng/g, demonstrating high sensitivity for the methods developed.

What was the average recovery rate in method validation?

The mean recovery rates for the within-laboratory reproducibility were between 92% and 113%, indicating reliable and accurate analytical performance.

How were the shrimp and fish samples prepared for analysis?

Samples were extracted with ethyl acetate, evaporated, and reconstituted in methanol for analysis, following a standardized extraction protocol.

What are the implications of detecting nitrofuran metabolites in food?

The detection of nitrofuran metabolites is crucial due to their potential carcinogenic effects and regulatory concerns for ensuring food safety in animal products.

Glossary definitions and references:

Scientific and Ayurvedic Glossary list for “A comparison of confirmatory method development and validation of antibiotic”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.

1) Fish:
Fish are aquatic organisms that are often studied in the context of food safety and food quality, particularly concerning the presence of harmful substances such as antibiotic residues. This study specifically investigates nitrofuran metabolites in fish matrices, highlighting the importance of monitoring fish for potential contaminants that can affect human health.

2) Alam (Alaṁ):
Alam refers to Md. Ashraful Alam, the lead researcher and author of the study. His role is significant as he oversees the development and validation of methods for detecting antibiotic residues in fish and shrimp, contributing to the body of knowledge in food safety and compliance with regulations.

3) Water:
Water plays a crucial role in the extraction and analysis of nitrofuran metabolites in the study. The method uses deionized water as a solvent and buffer in conjunction with organic solvents, emphasizing the importance of high-quality water in analytical chemistry for obtaining reliable and valid results.

4) Food:
Food safety is a primary concern in this study, focusing on the detection of harmful residues in food products of animal origin, specifically fish and shrimp. Ensuring that food is free from antibiotics like nitrofuran is vital for consumer health and compliance with national and international food safety regulations.

5) Performance:
Performance in this context refers to the efficiency and effectiveness of the developed methods for detecting nitrofuran metabolites. The study emphasizes the importance of method performance characteristics, such as reliability and accuracy, in meeting regulatory standards set by the EU for food safety testing.

6) Drug:
The term drug in this study pertains to nitrofurans, a class of synthetic antibiotics that have been banned in food production due to their harmful effects. Understanding the pharmacological properties and potential health risks associated with these drugs is critical for regulatory measures in food safety.

7) Fortification:
Fortification in this context refers to the spiking of blank samples with known concentrations of nitrofuran metabolites to evaluate the recovery and validation of the method. This process is essential in ensuring that the analytical methods can accurately measure drug residues in complex food matrices.

8) Antibiotic (Antibacterial):
Antibiotics, such as nitrofurans, are substances that can promote growth in livestock and are critically analyzed in this study. The concern over antibiotic residues in food products necessitates rigorous testing to avoid adverse health effects, highlighting the importance of monitoring and validating methods for detection.

9) Animal:
Animal refers to the sources of food products, specifically fish and shrimp, studied for antibiotic contamination. Ensuring the safety of animal-derived food products is vital for public health, especially in the context of international food trade and compliance with safety regulations.

10) Channel:
Channel is significant in the context of the analytical methods discussed. It may refer to the ion channels used in mass spectrometry for detecting nitrofurans. Properly optimized channel settings facilitate the efficient analysis of metabolites, ensuring reliable results.

11) Honey:
Honey, mentioned as a matrix in the study of nitrofuran residues, represents another area of concern for food safety. The ability to detect antibiotic residues in honey emphasizes the need for comprehensive testing across various food products to ensure consumer safety.

12) Calculation:
Calculation references the process of determining concentrations of detected substances in the analysis. Accurate calculations are essential for interpreting results from the validation of analytical methods in this study, affirming the reliability and compliance of the methods with regulatory standards.

13) Substance:
Substance, referring to nitrofuran metabolites, pertains to the focus of the study which aims to detect trace residues in food. Understanding these substances' behavior in biological matrices enlightens the analytical processes necessary for confirming food safety standards.

14) Table:
Table denotes the organized data presented in results, summarizing validation outcomes and analytical performance metrics. Tables provide a clear comparison of results across different systems, aiding in the evaluation of method efficiency in detecting nitrofuran metabolites.

15) Study (Studying):
Study refers to the comprehensive research conducted to develop and validate methods of detecting nitrofuran metabolites. Through systematic experimentation and rigorous testing, the study aims to ensure food safety by developing reliable protocols for residue detection in fish and shrimp matrices.

16) Meat:
Meat, particularly referred to in the context of contaminants, highlights the broader implications of the study. Detecting residues in meat underscores the importance of monitoring all animal-derived food products to safeguard human health against antibiotic-related risks.

17) Salt (Salty):
Salt may refer to the use of sodium chloride or other salts in the extraction processes or matrices. Salts play a role in controlling pH during sample preparation, which is crucial for the subsequent analysis of nitrofuran metabolites in food samples.

18) Burning (Burn, Burned, Burnt):
Burn is included in the context of nitrofurazone, an antibiotic used for topical applications. The study elucidates the broader implications of antibiotic use beyond food safety, exploring their potential risks and pharmacological effects on human health.

19) Reliability:
Reliability in this study refers to the consistency and dependability of the developed methods for detecting nitrofuran residues. Ensuring high reliability is crucial for maintaining regulatory compliance and instilling confidence in consumers regarding food safety.

20) Discussion:
Discussion forms a critical part of the research paper, presenting an analysis of results and methodology. It explores the implications of findings, compares them with previous studies, and articulates the importance of the developed methods in enhancing food safety protocols.

21) Toxicology:
Toxicology is relevant as it addresses the safety concerns surrounding nitrofuran metabolites, focusing on their potential harmful effects. Understanding the toxicological profiles of these substances is essential for evaluating risks related to their presence in food products.

22) Toxicity:
Toxicity examines the adverse effects of nitrofurans and their metabolites on health. This aspect is essential in justifying the need for rigorous testing of food matrices to protect consumers from potential health risks associated with antibiotic residues.

23) Relative:
Relative refers to parameters or ratios derived during the analysis, such as the relationship between internal standards and target analytes. This relationship is critical for ensuring accurate quantification and validation of methods in the study.

24) Quality:
Quality pertains to the standards set for food products, especially regarding safety and contamination levels. Ensuring high quality in food supplies is imperative for public health, making the study's findings relevant for maintaining food safety across supply chains.

25) Disease:
Disease relates to the potential health complications that arise from consuming contaminated food. Understanding the link between antibiotic residues in food and disease incidence underscores the necessity of the study for public health management.

26) Meeting:
Meeting may reference the formal discourse or agenda within the regulatory frameworks that call for discussions on food safety standards. Such meetings are crucial for aligning research outputs with policy amendments and regulatory compliance in food products.

27) Account:
Account signifies the importance of documenting and providing evidence for methodological approaches and results achieved in the study. Accurate accounts reinforce scientific integrity and are vital for regulatory compliance and stakeholder assurance.

28) Thomas:
Thomas appears as part of the reference citations, potentially indicating a researcher involved in nitrofuran studies. His works could contribute to understanding nitrofuran's effects, reinforcing the scientific basis for this study's methodologies and outcomes.

29) India:
India may refer to geographical or contextual relevance concerning the study's implications for food safety regulations within South Asian countries. The findings can impact local practices regarding antibiotic usage and residue monitoring in food products.

30) Mast:
Mast refers to a term often associated with biological or medical contexts, though its direct relevance in this study might be limited. It could connect to discussions surrounding the use of topical antibiotics and their safety profiles, especially in veterinary applications.

Other Science Concepts:

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Discover the significance of concepts within the article: ‘A comparison of confirmatory method development and validation of antibiotic’. Further sources in the context of Science might help you critically compare this page with similair documents:

Chemical treatment, Autonomic nervous system, Low Level Laser Therapy, Mass spectrometry, Chromatogram, Internal standard, Electrospray ionization, Toxic effect, Calibration curve, Congenital Abnormalities, Method validation, Quantitative determination, Validation Data, Mean recoveries, Gradient Elution, Hydrochloric Acid, PH adjustment, Analytical performance, Derivatization, Linear concentration range, Risk evaluation, Maximum residue limit, Gradient Method, Extraction Protocol, Liquid chromatographic separation, Confirmatory method development, Confirmatory method, Veterinary medicinal products, Spiked recovery samples, Method reproducibility, Validation of antibiotic, Nitrofuran metabolites, AQUITY UPLC-TQD, Sample extraction, Within laboratory reproducibility, Matrix influence, Organic layer, Volumetric flask, Analytical methods development, Confirmatory analysis, Overall mean, Fortification level, Detection capability, Matrix Blank, Collision Induced Dissociation, Minimum required performance limit, Nitrofurans, Stock standard AMOZ, D5-AMOZ internal standard, Mixed standard, Calibration curve samples, Negative samples collection, Nitrobenzaldehyde, Vortex mixing, Quattro micro, Certification criteria, Positive ionization, Ion scan mode, Reliability and accuracy, Trueness expressed, Within day CV, Between day CV, Intermediate precision CV, Food control, Data calculation, Commission Regulation, Official Journal of the European Communities, Nitrofuran residues, High-performance liquid chromatography-tandem mass spectrometry, Tetracycline-resistant Vibrio cholerae, Chloramphenicol residue, Liquid chromatography-electrospray ionization-tandem mass spectrometry.

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