Determination of amoxicillin in pharmaceuticals using sequential injection analysis and multivariate curve resolution

In this study, we report a method for quantifying amoxicillin in pharmaceuticals in the presence of interferents using sequential injection analysis (SIA) with a diode-array spectrophotometric detector and multivariate curve resolution with alternating least squares (MCR-ALS). With a suitable analytical sequence, we can use SIA to generate a pH gradient and, for each sample, obtain a data matrix. We used augmented matrices to resolve the system and obtain the spectra and concentration profiles of the components in the sample.We studied what are the effects of imposing trilinearity at the resolution stage, how to choose the species that will be used for quantification (acid, basic or the sum of the two), and which is the most suitable concentration of the reference standard. Once the optimum conditions were established, we performed the quantification in three amoxicillin-containing pharmaceuticals (flubiotic, augmentine, and clamoxyl). With this method, determination is quick, the reactants and instrumentation are inexpensive, and pretreatment of the sample is unnecessary.     

Characterization and in vitro release kinetics of chitosan based biocomposites from Scotch Bonnets

The main aim of this study is to formulate the combination of the bioactive composite containing chitosan/β -tricalcium phosphate (CH/β-TCP) as potential drug delivery platforms for the sustained release of antibiotics. Herein the mode of amoxicillin (AMX) maintained in the β-TCP/chitosan composite was characterized using XRD, FT-IR to confirm the phase purity and functional groups. SEM was used to examine the size and shape of particles. The SEM images of the biocomposites after drug release confirmed that they are biodegradable. In vitro drug release experiments in PBS (pH 7.4) revealed a sustained release profile in a neutral medium. Drug release profiles were evaluated according to five different kinetic models including Zero Order, First Order, Higuchi, Hixon Crowel, and Korsmeyer-Peppas. The release profile was best expressed by the Korsmeyer Peppas model because the results showed high linearity. Overall, the positive effect of chitosan coating on the drug elution profile of β-TCP as carriers for the controlled delivery of antibiotics was regarded as biocompatible for the controlled drug delivery system.     

高效毛细管电泳法检测鸡肉中青霉素类药物残留量

用4种不同的样品前处理方法,即①磷酸二氢钠萃取法(SE)、②磷酸二氢钠萃取-固相萃取法(SE-SPE)、③基质固相分散萃取法(MSPDE)和④基质固相分散萃取-固相萃取法(MSPDE-SPE)对鸡肉样品做前处理,用高效毛细管电泳测定试液中青霉素、氨苄青霉素和阿莫西林等3种药物的残留量。回收试验和色谱分离结果表明:方法②用于高效毛细管电泳法同时测定鸡肉样品中3种青霉素类药物的样品前处理更为合适。方法的加标回收率在73.1%～95.9%之间,相对标准偏差(n=5)在2.9%～9.8%之间。     

阿莫西林分散片溶出度光纤化学传感在线过程检测

采用双波长法消除赋形剂的干扰,利用六通道光纤化学传感原位过程分析仪(FOCSDT)在线监测阿莫西林分散片溶出度。FOCSDT的平均校准曲线方程为y=188.38x+0.7607,回归系数r为0.9998。阿莫西林分散片的溶出数据与中国药典(Ch.P)方法对照无显著性差异。FOCSDT法无需取液、稀释等手工操作,能实时监测药物溶出全过程,为速释制剂内在质量的检测提供良好的手段。     

抗菌素阿莫西林荧光分析法的研究

本文提出了阿莫西林［（2S,5R,6R）-3,3-二甲基-6-［(R)-(-)-2-氨基-2-(4-羟基苯基)乙酰氨基］-7-氧化-4-硫杂-1-氮杂双环［3,2,0］庚烷-2-甲酸三水化合物］荧光分析的方法。并对影响阿莫西林荧光性质(光谱和光谱强度)的各种因素,包括pH值、表面活性剂的增效作用、无机离子的配合作用以及其他介质条件等进行了较为详细的研究。实验结果表明,阿莫西林具有良好的荧光性质,在微碱性条件下荧光发射最强,CTAB对其有增效作用,与无机离子(Mg     

阿莫西林的荷移光谱测定方法研究

在丙酮介质中阿莫西林与 7,7,8,8-四氰基对二次甲基苯醌 (TCNQ)荷移反应 ,形成 1∶ 1络合物 ,在74 4nm和 84 5 nm处有较强光吸收 ,表观摩尔吸光系数分别为 1.2× 10 4L· mol-1· cm-1和 1.8× 10 4L·mol-1· cm-1,阿莫西林的浓度在 10— 15 0 mg· L-1范围内符合比耳定律。在乙醇介质中 ,阿莫西林与对苯醌 (p- BQ)反应 ,形成 1∶ 1络合物 ,最大吸收波长为 4 80 nm,表观摩尔吸光系数为 1.92× 10 3 L· mol-1·cm-1。阿莫西林的浓度在 2 0— 2 0 0 mg·L-1范围内符合比耳定律。两种方法相对标准偏差分别为 1.2 %和1.5 % (n=8) ,用于测定阿莫西林制剂的含量 ,结果与标准方法一致。     

Development of a new high performance low pressure chromatographic system using a multisyringe burette coupled to a chromatographic monolithic column

A novel combination of high performance low pressure chromatography with multisyringe flow injection analysis is presented. This system comprises a multisyringe module, three low pressure solenoid valves, a monolithic Chromolith Flash RP-18e column and a diode array spectrophotometer. UV detection is carried out at 250 nm. AutoAnalysis software is used for instrumental control and automated data collection. The results obtained with multisyringe liquid chromatography (MSC) were compared with those obtained with a HPLC system using similar conditions. The chromatographic parameters were calculated from a mixture of anthracene and thiourea using a mobile phase containing acetonitrile-water (60:40) at a flow rate of 2 ml min⁻¹. The proposed MSC system has been successfully applied to the determination of amoxicillin, ampicillin and cephalexin using a mobile phase of sodium acetate buffer (pH 6.2, 0.1 mol l⁻¹)-methanol (90:10) at a flow rate of 2 ml min⁻¹. The low-cost, flexibility and simplicity of MSC should be highlighted.     

Application of synergistic β-lactamase inhibitors and antibiotics in the treatment of wounds infected by superbugs

Amoxicillin appears to be clinically drug-resistant due to the presence of β-lactamase in bacteria. Here, we designed and prepared a hollow Prussian Blue (HPB)-based therapeutic nanoplatform that was constructed by encapsulating amoxicillin into polyethyleneimine with β-lactamase inhibitor 4-carboxyphenylboronic acid (4-Cpba) decorated HPB nanoparticles (CPA NPs). The antibacterial effect of the CPA NPs on drug-resistant bacteria was observed by in vitro colony-forming unit, minimum inhibitory concentration, scanning electron microscopy, and fluorescence tests. The results show that amoxicillin effectively inhibited Escherichia coli and Staphylococcus aureus-resistant bacteria in the presence of 4-Cpba. The in vivo experimental results show that the CPA NPs exhibited a synergistic anti-infective effect in vivo, which inhibited the inflammatory response and apoptosis induced by the drug-resistant bacterial infection, and promoted wound healing in mice. The hematoxylin and eosin staining and blood biochemical experiments revealed that the acute toxicity of the material was negligible and it had good biocompatibility. Our results verify our design that CPA NPs can restore the antibacterial activity of amoxicillin.     

Optimization by means of responses surface of an analytical sequence using a sequential injection system

An experimental design method was applied to determine the optimum working conditions for sequential injection analysis (SIA) to obtain second-order data that will be treated using multivariate curve resolution with alternating least squares (MCR-ALS).

The critical step is to design an analytical sequence that provides relevant information. This sequence depends on parameters related to the system, the chemical reaction, and the chemometric treatment of the data. Also, from the multiple responses that quantify the quality of this analytical sequence, a single response is determined from the desirability function.

This method involves a factor-screening step, in which both the global desirability function and the individual responses are considered and a response surface-modelling step, in which the most relevant factors are considered.     

Determination of amoxicillin in pharmaceuticals using sequential injection analysis (SIA): Evaluation of the presence of interferents using multivariate curve resolution

In this study, we report a method for determining amoxicillin in pharmaceuticals using sequential injection analysis (SIA) with a diode-array spectrophotometric detector. Before determining the amoxicillin, we use multivariate curve resolution with alternating least squares (MCR-ALS) to investigate whether any interferents are present. With a suitable analytical sequence, we can use SIA to generate a pH gradient and, for each sample, obtain a matrix of data that have been analysed by several chemometric techniques based on multivariate analysis: principal components analysis (PCA), simple-to-use interactive self-modeling mixture analysis (SIMPLISMA) and MCR-ALS. In this way we obtain the concentration profiles and spectra of the species in the sample.We studied six pharmaceuticals containing amoxicillin. Two of these pharmaceuticals contained no interferents, one contained an interferent but amoxicillin had a selective spectral area with respect to it, and the other three contained interferents. For the first three samples, we set up a system of univariate calibration, which determines amoxicillin quickly (it can analyse 20 samples/h) using inexpensive instrumentation and reactives.