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What effect would it have on the chromatogram with a broad sample?
Wiki User
∙ 14y ago
A broad sample would result in peak broadening on the chromatogram. This can be caused by factors such as sample dispersion, slow diffusion rates, or poor column efficiency. Broad peaks can lead to decreased resolution and difficulty in accurately determining peak parameters.
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Why is a chromatogram like a chemical fingerprint?
A chromatogram is like a chemical fingerprint because it represents the unique pattern of compounds present in a sample. Just as a fingerprint is unique to an individual, a chromatogram provides a distinctive profile that can be used to identify and characterize different substances based on their retention times and peak shapes.
What condition should use the standard addition method?
The standard addition method is typically used in analytical chemistry when analyzing samples with unknown concentrations, where a known amount of standard solution is added to the sample to create a series of solutions with different concentrations. This method is particularly useful when the matrix of the sample interferes with other quantitative methods.
What would happen if the Spot of origin is lowered into the solvent in chromatography?
If the spot of origin is lowered into the solvent in chromatography, the components of the mixture may dissolve and spread out along with the solvent front. This can lead to poor separation of the components and unclear chromatographic results. It is important to ensure that the spot of origin is above the solvent level to allow proper separation and visualization of the components on the chromatogram.
How much of a 100 gram sample would remain unchanged after two hours?
This would depend on the specific sample and its stability. Without additional information, it is not possible to determine how much of the sample would remain unchanged after two hours.
Why is earths greenhouse effect important to life on the earth?
Thermal inertia is the tendency to resist temperature changes. This results in thermal equilibrium, which means that the Earth and its climates don't have broad temperature changes from one day to the next. This relative temperature stability is important because many organisms would not be able to tolerate the broad temperature changes from one day to what would otherwise exist.
Would a pure substance show more than one color or spot in a chromatogram. explain?
No, a pure substance would only show a single color or spot in a chromatogram because it consists of only one compound without any impurities. Each compound present in a sample will appear as a distinct spot with a unique color in the chromatogram.
What would happen if the beaker is left uncovered during the development of the chromatogram?
Bad things happen. The mobile phase evaporates and thus it's composition changes. The vapor phase above the chromatogram is not saturated or at equilibrium, and this affects the movement of the sample on the solid phase.
What would adding water to a urine sample given to police for suspected drink driving?
what effect would adding water to a urine sample have on it for suspected drink driving
Sample research questions?
A research question should be concise and show cause and effect. An example would be. Does weather have an effect on increased real estate sales?
What topic is too broad for a cause-and-effect essay?
A topic like "climate change" may be too broad for a cause-and-effect essay because it encompasses a wide range of factors and consequences that would be challenging to cover comprehensively in a short essay. Breaking it down into more specific aspects, such as the impact of deforestation on climate change, would make for a more focused and manageable essay.
Why is a chromatogram like a chemical fingerprint?
A chromatogram is like a chemical fingerprint because it represents the unique pattern of compounds present in a sample. Just as a fingerprint is unique to an individual, a chromatogram provides a distinctive profile that can be used to identify and characterize different substances based on their retention times and peak shapes.
What condition should use the standard addition method?
The standard addition method is typically used in analytical chemistry when analyzing samples with unknown concentrations, where a known amount of standard solution is added to the sample to create a series of solutions with different concentrations. This method is particularly useful when the matrix of the sample interferes with other quantitative methods.
What is the difference between reagent blank and sample blank?
Reagent Blank : Take reagent and add deionised water (in place of sample to be tested). Now measure the OD at specific wavelength --> this OD is your reagent blank. Substract this OD from your test result (with sample) to avoid any false +ve effect due to colour of reagents itself.Sample Blank : Take sample and measure the OD without adding reagents --> this OD is your sample blank. Substract this OD from your test result to avoid any false +ve effect due to colour and turbidity of sample itself. As it is the fact that colour and turbidity of each sample would vary from one to another.So now it is clear that Reagent blank is used to avoid bias due to colour of reagents and Sample blank is used to avoid bias due to sample itself.
What is correct your friend lives in Broad Street or your friend lives at Broad Street?
Your friend lives on Broad Street is the correct form.You would say: Your friend lives in Albany.You would say: Your friend lives at the corner of Broad Street and River Road.
What would happen if the Spot of origin is lowered into the solvent in chromatography?
If the spot of origin is lowered into the solvent in chromatography, the components of the mixture may dissolve and spread out along with the solvent front. This can lead to poor separation of the components and unclear chromatographic results. It is important to ensure that the spot of origin is above the solvent level to allow proper separation and visualization of the components on the chromatogram.
What effect does sample size have on the estimate of the mean?
the larger you r sample size the better your estimate. imagine take the height of person to estimate the average high of an adult male. would one person's height be a good estimate, or would taking the average height of 100, or 5000 adult males will produce a better estimate?
When would random sampling not be the best approach to sample selection?
When would random sampling not be the best approach to sample selection
