Thermodynamic Studies of Metal Complexes of Tetracycline and its Application in Drug Analysis

Bagheri, A.

doi:10.1007/s11094-015-1190-3

Cited by 11 publications

(8 citation statements)

References 21 publications

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“…Among water quality factors, hardness is a critical aspect when automatic delivery systems are used to administer certain antibiotics which are prone to interact with cations forming relatively stable complexes (Olkowski, 2009). The most relevant examples are tetracyclines which may be chelated by cations present in water decreasing dissolution and/ or further absorption (Bagheri Gh, 2015;Doluisio & Martin, 1963;Hundt et al, 2016;Lambs, Brion, & Berthon, 1984).…”

Section: O R I G I N a L A R T I C L Ementioning

confidence: 99%

Impact of water hardness on oxytetracycline oral bioavailability in fed and fasted piglets

Decundo

Dieguez

Martínez

et al. 2019

Veterinary Medicine & Sci

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Water hardness is a critical factor that affects oxytetracycline dissolution by chelation with cations. These interactions may lead to impaired dosing and consequently decrease absorption. Moreover, feed present in gastrointestinal tract may interact with antibiotic and alter pharmacokinetic parameters. In the present study, dissolution profiles of an oxytetracycline veterinary formulation were assessed in purified, soft and hard water. Furthermore, oxytetracycline absolute bioavailability, after oral administration of the drug dissolved in soft or hard water, was evaluated in fed and fasted piglets. A maximum dissolution of 86% and 80% was obtained in soft and hard water, respectively, while in purified water dissolution was complete. Results from in vivo study reconfirmed oxytetracycline's very low oral bioavailability. The greatest values were attained when antibiotic was dissolved in soft water and in fasted animals. Statistically significant lower absolute bioavailability was achieved when hard water was used and/or animals were fed. Moreover, Cmax attained in all treatments was lower than MIC90 of most important swine pathogens. For these reasons, the oral use of OTC formulations, that have demonstrated low oral bioavailability, should be avoided to treat systemic diseases in pigs.

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Section: O R I G I N a L A R T I C L Ementioning

confidence: 99%

Impact of water hardness on oxytetracycline oral bioavailability in fed and fasted piglets

Decundo

Dieguez

Martínez

et al. 2019

Veterinary Medicine & Sci

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“…Antibiotic molecules such as tetracyclines, penicillins, cephalosporins, and aminoglycosides are known to effectively coordinate with copper (2+) and nickel (2+) ions, forming chelate compounds owing to such functional groups as −OH, COO – , −NH 2 , −NH–, and −N . Most complexes are thermodynamically effective and stable, with a stability constant greater than one. − …”

Section: Resultsmentioning

confidence: 99%

“…Tetracycline molecules exhibit several potential metal-binding sites: oxygens at the C 10 –C 12 phenolic β-diketone system, enolic oxygens, and nitrogens at C 4 and at the carboxamide group in ring A. For Cu (II)-tetracycline, the stoichiometry of the complexes (metal ion/ligand) was found to be 1:1 (Figure d). − …”

Section: Resultsmentioning

confidence: 99%

Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms

Aliev,

Belyaev,

Pomytkina

et al. 2023

ACS Appl. Mater. Interfaces

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The present study is dedicated to the problem of electrochemical analysis of multicomponent mixtures, such as milk. A combination of cyclic voltammetry facilities and machine learning techniques made it possible to create a pattern recognition system for the detection of antibiotic residues in skimmed milk. A multielectrode sensor including copper, nickel, and carbon fiber was fabricated for the collection of electrochemical data. Processes occurring at the electrode surface were discussed and simulated with the help of molecular docking and density functional theory modeling. It was assumed that the antibiotic fingerprint reveals a potential drift of electrodes, owing to complexation with metal ions present in milk. The gradient boosting algorithm showed the best efficiency in training the machine learning model. High accuracy was achieved for the recognition of antibiotics in milk. The elaborated method may be incorporated into existing milking systems at dairy farms for monitoring the residue concentrations of antibiotics.

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“…EBT/Eu 3+ 探针加入TCs后颜色及荧光变化图2a是不同样品的吸收光谱。EBT作为一种金属离子指示剂，在pH > 6.3的溶液体系中呈蓝色，在624 nm处有吸收峰(绿色曲线)，与Eu 3+ 结合后形成配合物，吸收峰移动到533 nm (蓝色曲线)，溶液呈红色。TCs含有多羰基结构，能与金属离子在不同条件下能形成1 : 1、1 : 2或2 : 1型配合物 [10] 。当 EBT/Eu 3+ 中加入TCs后，TCs夺取EBT/Eu 3+ 配合物中Eu 3+ ，533 nm处的吸收峰降低，624 nm处的吸收…”

Section: 1unclassified

Smart Phone Coupled with Machine Learning for Identifying Multiple Antibiotics in Food

Deng¹,

Gong²,

Tang³

et al. 2022

Daxue Huaxue

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In this study, a method for identifying residual antibiotics in food was developed based on chromium black T and europium ion as colorimetric and fluorescent probes (EBT/Eu 3+ ) coupled with pattern recognition in machine learning. The changes in color and fluorescence of four antibiotics with the addition of EBT/Eu 3+ were obtained using smart phone and fluorescence measurements. Assisted by pattern recognition, the four antibiotics in honey were successfully identified. This experiment is highly comprehensive; it integrates multiple knowledge points, such as twochannel probe preparation, color recognition based on smart phone, fluorescence measurements, machine learning, and identification of various antibiotics.

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Thermodynamic Studies of Metal Complexes of Tetracycline and its Application in Drug Analysis

Cited by 11 publications

References 21 publications

Impact of water hardness on oxytetracycline oral bioavailability in fed and fasted piglets

Impact of water hardness on oxytetracycline oral bioavailability in fed and fasted piglets

Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms

Smart Phone Coupled with Machine Learning for Identifying Multiple Antibiotics in Food

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