Human anti-endomysial antibody (EMA) (IgA) ELISA Kit

Name: Human anti-endomysial antibody (EMA) (IgA) ELISA Kit
SKU: DEIA-BJ233
Rating: 5 (1 reviews)

Regulatory status: For research use only, not for use in diagnostic procedures.

COA

SDS

Datasheet

Summary

Sample

Serum, plasma, cell culture supernatants, body fluid and tissue homogenate

Species Reactivity

Human

Detection Method

sELISA

Intended Use

This EMA IgA ELISA kit is a 1.5 hour solid-phase ELISA designed for the quantitative determination of Human EMA IgA. This ELISA kit for research use only, not for therapeutic or diagnostic applications!

Contents of Kit

1. MICROTITER PLATE, 96 wells, stripwell
2. ENZYME CONJUGATE, 10 mL, 1 vial
3. STANDARD A 0 ng/mL, 1 vial
4. STANDARD B 50 ng/mL, 1 vial
5. STANDARD C 100 ng/mL, 1 vial
6. STANDARD D 250 ng/mL, 1 vial
7. STANDARD E 500 ng/mL, 1 vial
8. STANDARD F 1000 ng/mL, 1 vial
9. SUBSTRATE A, 6 mL, 1 vial
10. SUBSTRATE B, 6 mL, 1 vial
11. STOP SOLUTION, 6 mL, 1 vial
12. WASH SOLUTION (100 x), 10 mL, 1 vial
13. BALANCE SOLUTION, 3 mL, 1 vial
14. INSTRUCTION 1
NOTE: The BALANCE SOLUTION is used only when the sample is cell culture supernatants, body fluid and tissue homogenate; if the sample is serum or plasma, then the BALANCE SOLUTION is a superfluous reagent.
The types of sample:
Sample I: serum or plasma
Sample II: cell culture supernatants, body fluid and tissue homogenate

Storage

All reagents provided are stored at 2-8° C. Refer to the expiration date on the label.

Precision

1) In the same lot CV%: 4.4, 5.6
2) Different lot CV%: 6.6, 7.9

Sensitivity

The sensitivity in this assay is1.0 ng/mL.

Standard Curve

1) The standard curve is used to determine the amount of samples.
2) First, average the duplicate readings for each standard and sample. All O.D. values are subtracted by the mean value of blank control before result interpretation.
3) Construct a standard curve by plotting the average O.D. for each standard on the vertical (Y) axis against the concentration on the horizontal (X) axis, and draw a best fit curve e using graph paper or statistical software to generate a linear regression, four parameter logistic (4-PL) curve-fit, or curvilinear regression of second degree. An x-axis for the optical density and a y-axis for the concentrationis also a choice. The data may be linearized by plotting the log of the concentrations versus the log of the O.D. and the best fit line can be determined by regression analysis.
4) Calculate the concentration of samples corresponding to the mean absorbance from the standard curve.
NOTE:
1) Any variation in operator, pipetting and washing technique, incubation time or temperature, and kit age can cause variation in result. Each user should obtain their own standard curve.
2) If samples have been diluted, the concentration read from the standard curve mustbe multiplied by the dilution factor. 3) If specimens generate values higher than the highest standard, dilute the specimens and repeat the assay.

Citations

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Documents

pdf COA

pdf SDS

pdf Datasheet

QA & Reviews

Customer Reviews

References

Ozone disinfection kinetics of poliovirus 1 determined by cell culture assay, RT-qPCR and ethidium monoazide qPCR reduction in a continuous quench-flow reactor

JOURNAL OF APPLIED MICROBIOLOGY

Authors: Sangsanont, J.; Kurisu, F.; Furumai, H.; Katayama, H.

Abstract

Aims A continuous quench-flow (CQF) reactor was developed to collect samples at the reaction times of less than one second. The reactor is applied to determine ozone disinfection kinetics of poliovirus and to study whether EMA-qPCR can assess the viral infectivity after ozone disinfection. Methods Ozone disinfection of poliovirus was conducted in the developed CQF, and the disinfection kinetics were tested in the range of 0 center dot 7-5 center dot 0 s at ozone concentration of 0 center dot 08 and 0 center dot 25 mg l(-1). Inactivation, damage on viral genome and damage on capsid integrity were determined by plaque assay, quantitative reverse transcription polymerase chain reaction (RT-qPCR) and ethidium monoazide treatment coupled with RT-qPCR (EMA-qPCR), respectively. Results By using CQF, 2 center dot 18 and 2 center dot 76 log(10)reductions were observed at the reaction time of 0 center dot 7 s and ozone concentration of 0 center dot 08 and 0 center dot 25 mg l(-1), respectively, followed by tailing. Ozone disinfection kinetics of poliovirus 1 were better fit by the efficiency factor Hom model than by the Chick-Watson model, or the modified Chick-Watson model. Kinetics observed were similar between RT-qPCR and EMA-qPCR assays at the reaction times of 5 s, viral concentration evaluated by EMA-qPCR was reduced in comparison to stable RT-qPCR results. Both assays still underestimated the virus inactivation. Conclusion The simple developed reactor can be used to investigate viral ozone disinfection kinetics and to elucidate inactivation characteristics or mechanisms at very short exposure times. Significance and Impact of the Study The developed CQF reactor is beneficial for better understanding of virus inactivation by ozone, and the reactor can be used to better elucidate disinfection kinetics and mechanisms for future research. This work constitutes an important contribution to the existing knowledge of the application and limitation of the EMA/PMA-qPCR to assess virus infectivity after ozone disinfection.

A new approach of ecologically based life cycle assessment for biological wastewater treatments focused on energy recovery goals

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Authors: Meneses-Jacome, Alexander; Ruiz-Colorado, Angela Adriana

Abstract

The energy potential of high-organic loaded agro-industrial effluents receiving biological treatment is often neglected, particularly in emergent regions, because of different technical and regulatory drawbacks. In addition, small alternative bioenergy sources are forced to compete disadvantageously with conventional energy supply, hindering their more extended exploitation. Thus, smart strategies to prove the environmental/economic potential of biogas and sludge produced in biological wastewater treatment systems (Bio-WWTs) are required to promote them as truly sustainable energy sources. In this view, the present study depicts a refined methodological framework for a more appropriate appraisal of Bio-WWTs promoting bioenergy recovery. Life cycle assessment (LCA) and emergy analysis (EmA) methods were merged around the statement of some identified and stated Principle-Criteria of Sustainability (PCS) for this kind of "water-energy nexus." As a result, a novel set of four single sustainability development indicators (SDIs) and one aggregated SDI were obtained to address sustainable conditions for valorization of bio-energy from agro-industrial Bio-WWTs. These indicators were made up of an environmental term coming from an LCA based on a system expansion approach as well as a second or "eco-economic" term obtained by means of EmA. This work introduces and shapes the "additionality" notion as an expression of overall sustainability and uses novel sustainability charts to interpret the obtained SDIs and their shifting or changes for different Bio-WWTs' life cycle scenarios. The "proof of concept" of this methodology is discussed along the obtained results for two case studies in Colombia.