Utilizing ultrafiltration to remove alkaline phosphatase from clinical analyzer water

2006 ◽  
Vol 44 (5) ◽  
Author(s):  
Julien Bôle ◽  
Stéphane Mabic
Keyword(s):  
Alkaline Phosphatase ◽  
Water Samples ◽  
Bacterial Contamination ◽  
Pure Water ◽  
Experimental Conditions ◽  
Enzyme Immunoassays ◽  
Selection Of

AbstractAlkaline phosphatase (ALP) conjugated to antibodies is often used in enzyme immunoassays (EIAs). These assays are notably sensitive to experimental conditions. A possible source of interference is bacterial ALP, which is released when bacterial contamination occurs in clinical analyzers. Preliminary experiments led to the selection of a detection kit, ALP source, and specific types of tubes for collecting water samples and performing assays. The release of ALP from various strains of bacteria identified in pure water was demonstrated (10–30×10

scholarly journals Optimized genotyping method for identification of bacterial contaminants in pharmaceutical industry

2016 ◽  
Vol 66 (2) ◽  
pp. 289-295
Author(s):  
Borche Stamatoski ◽  
Miroslava Ilievska ◽  
Hristina Babunovska ◽  
Nikola Sekulovski ◽  
Sasho Panov
Keyword(s):  
Pharmaceutical Industry ◽  
Dna Sequencing ◽  
Bacterial Contamination ◽  
Raw Materials ◽  
Pcr Primers ◽  
Rrna Gene ◽  
Bacterial Identification ◽  
Bacterial Contaminants ◽  
Microbiological Control ◽  
Selection Of

AbstractMicrobiological control is of crucial importance in the pharmaceutical industry regarding the possible bacterial contamination of the environment, water, raw materials and finished products. Molecular identification of bacterial contaminants based on DNA sequencing of the hypervariable 16SrRNA gene has been introduced recently. The aim of this study is to investigate the suitability of gene sequencing using our selection of PCR primers and conditions for rapid and accurate bacterial identification in pharmaceutical industry quality control.DNA was extracted from overnight incubated colonies from 10 bacterial ATCC strains, which are common contaminants in the pharmaceutical industry. A region of bacterial 16SrRNA gene was analyzed by bidirectional DNA sequencing. Bacterial identification based on partial sequencing of the 16SrRNA gene is the appropriate method that could be used in the pharmaceutical industry after adequate validations. We have successfully identified all tested bacteria with more than 99 % similarity to the already published sequences.

scholarly journals Determination of cobalt in water samples by atomic absorption spectrometry after pre-concentration with a simple ionic liquid-based dispersive liquid-liquid micro-extraction methodology

2010 ◽  
Vol 8 (3) ◽  
pp. 617-625 ◽  
Author(s):  
Hossein Abdolmohammad-Zadeh ◽  
Elnaz Ebrahimzadeh
Keyword(s):  
Ionic Liquid ◽  
Atomic Absorption Spectrometry ◽  
Atomic Absorption ◽  
Water Samples ◽  
Limit Of Detection ◽  
Absorption Spectrometry ◽  
Experimental Conditions ◽  
Flame Atomic Absorption ◽  
Relative Standard

AbstractA rapid dispersive liquid-liquid micro-extraction (DLLME) methodology based on the application of 1-hexylpyridinium hexafluorophosphate [C6py][PF6] ionic liquid (IL) as an extractant solvent was applied for the pre-concentration of trace levels of cobalt prior to determination by flame atomic absorption spectrometry (FAAS). 1-Phenyl-3-methyl-4-benzoyl-5-pyrazolone (PMBP) was employed as a chelator forming a Co-PMBP complex to extract cobalt ions from aqueous solution into the fine droplets of [C6py][PF6]. Some effective factors that influence the micro-extraction efficiency include the pH, the PMBP concentration, the amount of ionic liquid, the ionic strength, the temperature and the centrifugation time which were investigated and optimized. In the optimum experimental conditions, the limit of detection (3s) and the enrichment factor were 0.70 µg L−1 and 60, respectively. The relative standard deviation (RSD) for six replicate determinations of 50 µg L−1 Co was 2.36%. The calibration graph using the pre-concentration system was linear at levels 2–166 µg L−1 with a correlation coefficient of 0.9982. The applicability of the proposed method was evaluated by the determination of trace amounts of cobalt in several water samples.

Modern nanobiotechnologies for efficient detection and remediation of mercury

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mulayam Singh Gaur ◽  
Rajni Yadav ◽  
Mamta Kushwah ◽  
Anna Nikolaevna Berlina
Keyword(s):  
Heavy Metals ◽  
Water Samples ◽  
Low Cost ◽  
High Sensitivity ◽  
Environmental Water ◽  
Mercury Ions ◽  
Content Type ◽  
Efficient Detection ◽  
Sensitivity And Selectivity ◽  
Selection Of

Purpose This information will be useful in the selection of materials and technology for the detection and removal of mercury ions at a low cost and with high sensitivity and selectivity. The purpose of this study is to provide the useful information for selection of materials and technology to detect and remove the mercury ions from water with high sensitivity and selectivity. The purpose of this study is to provide the useful information for selection of materials and technology to detect and remove the mercury ions from water with high sensitivity and selectivity. Design/methodology/approach Different nano- and bio-materials allowed for the development of a variety of biosensors – colorimetric, chemiluminescent, electrochemical, whole-cell and aptasensors – are described. The materials used for their development also make it possible to use them in removing heavy metals, which are toxic contaminants, from environmental water samples. Findings This review focuses on different technologies, tools and materials for mercury (heavy metals) detection and remediation to environmental samples. Originality/value This review gives up-to-date and systemic information on modern nanotechnology methods for heavy metal detection. Different recognition molecules and nanomaterials have been discussed for remediation to water samples. The present review may provide valuable information to researchers regarding novel mercury ions detection sensors and encourage them for further research/development.

scholarly journals A non-lethal method for detection of Bonamia ostreae in flat oyster (Ostrea edulis) using environmental DNA

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Louise von Gersdorff Jørgensen ◽  
Johan Wedel Nielsen ◽  
Mikkel Kehler Villadsen ◽  
Bent Vismann ◽  
Sussie Dalvin ◽  
...  
Keyword(s):  
Water Samples ◽  
Sea Water ◽  
Diagnostic Technique ◽  
Environmental Dna ◽  
Detection Methods ◽  
Ostrea Edulis ◽  
Breeding Programs ◽  
Bonamia Ostreae ◽  
Flat Oyster ◽  
Selection Of

Abstract Surveillance and diagnosis of parasitic Bonamia ostreae infections in flat oysters (Ostrea edulis) are prerequisites for protection and management of wild populations. In addition, reliable and non-lethal detection methods are required for selection of healthy brood oysters in aquaculture productions. Here we present a non-lethal diagnostic technique based on environmental DNA (eDNA) from water samples and demonstrate applications in laboratory trials. Forty oysters originating from Limfjorden, Denmark were kept in 30 ppt sea water in individual tanks. Water was sampled 6 days later, after which all oysters were euthanized and examined for infection, applying PCR. Four oysters (10%) were found to be infected with B. ostreae in gill and mantle tissue. eDNA purified from the water surrounding these oysters contained parasite DNA. A subsequent sampling from the field encompassed 20 oysters and 15 water samples from 5 different locations. Only one oyster turned out positive and all water samples proved negative for B. ostreae eDNA. With this new method B. ostreae may be detected by only sampling water from the environment of isolated oysters or isolated oyster populations. This non-lethal diagnostic eDNA method could have potential for future surveys and oyster breeding programs aiming at producing disease-free oysters.

scholarly journals ISOLAMENTO DE MICRORGANISMOS DEGRADADORES DE COMPOSTOS LIPÍDICOS DE ORIGEM VEGETAL EM AMOSTRAS DE ÁGUAS DA BARRAGEM DO RIO PASSAÚNA-ARAUCÁRIA, PR

2003 ◽  
Vol 21 (1) ◽  
Author(s):  
JUÇARA FEITOSA ◽  
IDA CHAPAVAL PIMENTEL ◽  
MÁRCIA REGINA BEUX ◽  
CARLOS ROBERTO DALKE ◽  
FABIANA ZARA PASTRO ◽  
...  
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Water Samples ◽  
Culture Media ◽  
Soy Oil ◽  
Selection Of

Avaliou-se o potencial de degradação de compostos lipídicos, naturalmente presentes em amostras de água da Barragem do Rio Passaúna (Curitiba-Paraná/Brasil) ou artificialmente incorporados a meios de cultura, por cepas de Pseudomonas aeruginosa e por microrganismos nãoselecionados. Os resultados demonstraram degradação do substrato lipídico (óleo de soja virgem e utilizado) apenas em relação ao experimento em que não houve o isolamento e seleção prévia de cepas específicas. ISOLATION OF MICROORGANISMS THAT DEGRADE LIPIDIC COMPOUNDS OF VEGETAL ORIGIN IN WATER SAMPLES OF PASSAÚNA RIVER DAM – ARAUCÁRIA-PR (BRAZIL) Abstract It was evaluated the degradation potential of lipidic compounds naturally present in water samples of Passaúna River dam (Curitiba – Paraná/Brazil) or artificially incorporated to culture media by strains of Pseudomonas aeruginosa and by non-selected microorganisms. The results demonstrated degradation of the lipidic substrate (virgin soy oil and already used) only in relation to the experiment where no isolation and previous selection of specific strains was made.

Expert System for EPMA

1999 ◽  
Vol 5 (S2) ◽  
pp. 592-593
Author(s):  
C. Fournier ◽  
C. Merlet ◽  
P.F. Staub ◽  
O. Dugne
Keyword(s):  
Quantitative Analysis ◽  
Expert System ◽  
Reasonable Accuracy ◽  
Experimental Conditions ◽  
Sample Composition ◽  
Starting Point ◽  
Accuracy Of Results ◽  
Short Time ◽  
And Control ◽  
Selection Of

Analysis parameters for an electron microprobe are numerous, and the accuracy of the quantitative analysis is very sensitive to the selection of these experimental conditions. The expert system intends to optimize the choice of each analysis parameter as well as to automate the phases of a quantitative analysis on all kinds of materials. To summarise, the aim of the expert system is to simplify the procedures, improve the accuracy of results and control the analysis time. The figure 1 illustrates the various stages of the expert system.The starting point of the expert system is an interactive questionnaire concerning the sample,( ie, what is already known), and about the expectations on the analysis,( ie, the accuracy of the results and/or the duration of the analysis required by the operator). Then, the expert system performs a semi-quantitative analysis on the sample. Based on the acquisition of a wavelength qualitative spectrum, this method is a way to obtain the sample composition in a short time with the advantages of the WDS system, and with a reasonable accuracy.

scholarly journals Spectrophotometric determination of triclosan based on diazotization reaction: response surface optimization using Box–Behnken design

2018 ◽  
Vol 77 (9) ◽  
pp. 2204-2212 ◽  
Author(s):  
Inderpreet Kaur ◽  
Sonal Gaba ◽  
Sukhraj Kaur ◽  
Rajeev Kumar ◽  
Jyoti Chawla
Keyword(s):  
Response Surface ◽  
Spectrophotometric Determination ◽  
Sodium Nitrite ◽  
Water Samples ◽  
Experimental Conditions ◽  
Box Behnken Design ◽  
Response Surface Optimization ◽  
Diazonium Ion ◽  
Yellowish Orange

Abstract A spectrophotometric method based on diazotization of aniline with triclosan has been developed for the determination of triclosan in water samples. The diazotization process involves two steps: (1) reaction of aniline with sodium nitrite in an acidic medium to form diazonium ion and (2) reaction of diazonium ion with triclosan to form a yellowish-orange azo compound in an alkaline medium. The resulting yellowish-orange product has a maximum absorption at 352 nm which allows the determination of triclosan in aqueous solution in the linear concentration range of 0.1–3.0 μM with R2 = 0.998. The concentration of hydrochloric acid, sodium nitrite, and aniline was optimized for diazotization reaction to achieve good spectrophotometric determination of triclosan. The optimization of experimental conditions for spectrophotometric determination of triclosan in terms of concentration of sodium nitrite, hydrogen chloride and aniline was also carried out by using Box–Behnken design of response surface methodology and results obtained were in agreement with the experimentally optimized values. The proposed method was then successfully applied for analyses of triclosan content in water samples.

Sign in / Sign up

Export Citation Format

Share Document