Category: Compilation of possible components in the mass range of 1

Compilation of possible components in the mass range of 1

A buffer is a solution that can resist pH change upon the addition of an acidic or basic components. It is able to neutralize small amounts of added acid or base, thus maintaining the pH of the solution relatively stable. To effectively maintain a pH range, a buffer must consist of a weak conjugate acid-base pair, meaning either a.

The use of one or the other will simply depend upon the desired pH when preparing the buffer. For example, the following could function as buffers when together in solution:. We can then add and dissolve sodium fluoride into the solution and mix the two until we reach the desired volume and pH at which we want to buffer.

When Sodium Fluoride dissolves in water, the reaction goes to completion, thus we obtain:. This buffering action can be seen in the titration curve of a buffer solution. As we can see, over the working range of the buffer.

Once the buffering capacity is exceeded the rate of pH change quickly jumps.

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This occurs because the conjugate acid or base has been depleted through neutralization. This principle implies that a larger amount of conjugate acid or base will have a greater buffering capacity.

In this reaction, the conjugate acid, HF, will neutralize added amounts of base, OH -and the equilibrium will again shift to the right, slightly increasing the concentration of F - in the solution and decreasing the amount of HF slightly.

Again, since most of the OH - is neutralized, little pH change will occur. Buffers function best when the pK a of the conjugate weak acid used is close to the desired working range of the buffer. This turns out to be the case when the concentrations of the conjugate acid and conjugate base are approximately equal within about a factor of For example, we know the K a for hydroflouric acid is 6.

compilation of possible components in the mass range of 1

For the weak base ammonia NH 3the value of K b is 1. It's always the pK a of the conjugate acid that determines the approximate pH for a buffer system, though this is dependent on the pK b of the conjugate base, obviously.

When the desired pH of a buffer solution is near the pK a of the conjugate acid being used i. In this example we will continue to use the hydrofluoric acid buffer. We will discuss the process for preparing a buffer of HF at a pH of 3. This is simply the ratio of the concentrations of conjugate base and conjugate acid we will need in our solution.

How much Sodium Fluoride would we need to add in order to create a buffer at said pH 3.

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From a table of molar masses, such as a periodic table, we can calculate the molar mass of NaF to be equal to Using this information, we can calculate the amount of F - we need to add.Bouwens et al. A Salpeter initial mass function has been assumed. Figure 8. The data points with symbols are given in Table 1. Right panel Mean dust attenuation in magnitudes as a function of redshift. Most of the data points shown are based on ultraviolet spectral slopes or stellar population model fitting.

The symbol shapes and colors correspond to the data sets cited in Table 1with the addition of Salim et al. Data points from Burgarella et al. Figure 9. Figure The cosmic core-collapse SN rate. The data points are taken from Li et al. The solid line shows the rates predicted from our fit to the cosmic star-formation history. The local overdensity in star formation may boost the local rate within Mpc of Mattila et al. The evolution of the stellar mass density. The data points with symbols are given in Table 2.

Bielby et al. Lee et al. Left panel Normalized distribution of stellar mass in the local Universe as a function of age. The measured mass-weighted ages have been corrected by adding the lookback time corresponding to the redshift at which the galaxy is observed.

The turquoise shaded histogram shows the distribution generated by integrating the instantaneous star-formation rate density in Equation 2. Right panel Evolution of the SMD with redshift. The points, shown with systematic error bars, are derived from the analysis of SDSS data by Gallazzi et al.

The solid line shows the mass assembly history predicted by integrating our best-fit star-formation history. The values are from the literature: Daddi et al.

The error bars correspond to systematic uncertainties. The high-redshift points from Stark et al. The curve shows the predictions from our best-fit star-formation history.

Comparison of the best-fit star formation history thick solid curve with the massive black hole accretion history from X-ray [ red curve Shankar et al. The comoving rates of black hole accretion have been scaled up by a factor of 3, to facilitate visual comparison to the star-formation history.

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Left panel Metallicity dependence of the ionizing photon yield, I ionfor a stellar population with a Salpeter IMF initial mass function and constant star-formation rate.In this study, a high-resolution TOF mass spectrometer with a spiral ion trajectory was applied to the structural and compositional characterization of free radical copolymerized poly methyl methacrylate- co - tert -butyl methacrylatepoly MMA- co -tBMA s in ethyl lactate acting as a chain transfer agent.

Virtually complete peak assignments of the isobaric components within the poly MMA- co -tBMA s served to identify the end-group combinations and copolymer compositions of individual copolymer components, allowing the distributions of comonomer compositions and six types of end-group combinations to be evaluated.

Polymer materials used in advanced products, including electrical and optical devices, generally consist of copolymers. For reason of its low cost, most industrial copolymers have been produced using free radical polymerization. Improvement of copolymer materials has been accomplished by detailed characterization of copolymers, including copolymer composition and comonomer sequences, as well as end-group structures, molecular weights, and their distributions.

During free radical polymerization of copolymers, a variety of end-group combinations are formed, resulting in extremely intricate mass spectra.

A mass of different combinations of comonomer distributions and end-groups increases the likelihood of isobaric interference, in which the peaks of different chemical compositions with the same nominal mass overlap. Peak separation of isobaric components within complicated copolymers requires high-resolution mass spectrometry.

Fourier transform ion cyclotron mass spectrometry FTICR-MS is the most powerful tool for separating isobaric components at high resolution and readily determines the chemical composition of copolymers. The model copolymers were prepared by free radical copolymerization of methyl methacrylate MMAwith tert- butyl methacrylate tBMA in ethyl lactate EL acting as the chain transfer agent.

Detailed structural characterization end-group structures and their combinations, copolymer compositions and their distributions of poly MMA- co -tBMA s with different copolymer compositions is demonstrated in this study. Copolymer samples were prepared as follows. As the matrix for sample ionization, 2-[ 2 E 4- tert -butylphenyl methylpropenylidene]malononitrile, called DCTB matrix, 15 — 17 which provides clear MALDI spectra at lower laser power, was employed.

Three mass spectra for each sample were collected. Processing of the data were performed using monoisotope peaks.

compilation of possible components in the mass range of 1

The mass spectra of the poly MMA- co -tBMA s were predicted to be complicated, due to their random comonomer distribution combined with a variety of end-group combinations.

Prior to the MALDI analyses, therefore, a mass list of possible components was computed to assist peak assignments. Figure 1 shows the possible chemical structures of the copolymer chains with different end-group combinations in the poly MMA- co -tBMA s. There are two types of possible initial ends AVN initiation and EL initiation chainsbecause radical copolymerization was carried out using AVN as an initiator in EL acting as a chain transfer agent.

At terminal ends, due to radical disproportionation, pairs of unsaturated and saturated groups are formed. Saturated terminals will also be formed by chain transfer reaction. As a result of these reactions, it can be assumed that poly MMA- co -tBMA s has seven different types of end-group combinations, as shown in Fig. Table 2 is a partial mass list corresponding to the expanded mass range. Among the 30 kinds of putative copolymer components in this mass range, the peaks of 19 components could be observed in M45, as labeled in the expanded mass spectrum of Fig.

Here, Roman numerals indicate the types of chain structure defined in Fig. To simplify this figure, the peak assignments are mainly limited to components with Type II chains. Related isobaric components are indicated in italic. In this mass range, five kinds of the Type II chains, i.

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As expected, with rising MMA composition of the samples, the relative peak intensities of the MMA-rich components become more intense. It should be noted that some of these peaks will overlap other isobaric components or isotopes.

The right side of Fig. Isobaric peaks like this were distributed over the entire mass range. The peak intensities of these components could be roughly corrected in consideration of isotope distribution. A set of molecular species and peak intensity were thus obtained for the entire mass spectrum, making it possible to perform compositional characterization.

An important consideration when determining copolymer composition is that the peak intensities in MALDI mass spectra do not always reflect the relative abundance of the species they represent.Boston Astronomy. The Range of Masses in the Universe. Things to See. Viewing Conditions. Public Viewing. Dark Skies. Mass equivalent of the energy of a photon at the peak of the spectrum of the cosmic microwave background radiation 0.

Up quark as a current quark 1. Atomic mass unit u or dalton Da. Proton Hydrogen atom, the lightest atom. Neutron Lithium atom 6. Water molecule Titanium atom Copper atom Z boson Lead atom, the heaviest stable isotope known. Ubiquitina small protein 8. Haemoglobin A molecule in blood Double-stranded DNA molecule consisting of 1, base pairsdaltons [ 16 ]. Prokaryotic ribosome 2.

Eukaryotic ribosome 4. Brome mosaic virusa small virus 4.

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Synaptic vesicle in rats Tobacco mosaic virus 41 MDa [ 20 ]. Nuclear pore complex in yeast 66 MDa [ 21 ]. Human adenovirus MDa [ 22 ]. HIV-1 virus [ 23 ] [ 24 ]. DNA sequence of length 4. Vaccinia virus, a large virus [ 26 ]. Mass equivalent of 1 joule [ 27 ]. Prochlorococcus cyanobacteria, the smallest and possibly most plentiful [ 28 ] photosynthetic organism on Earth [ 29 ] [ 30 ].By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service.

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Depending on a control input I'll choose which component to use:. However, a compilation error appeared when I wrote "U1: port map Solution for situation 1: Use a generic in your entity, and an if-generate statement in your architecture body. Here is an example:. Solution for situation 2: Create a third component. This component will be a wrapper, and will instantiate both of your original components. In certain cases, you can even assign the same inputs to both components.

Then use a select signal to chose which output will be forwarded to outside the wrapper. The answer to this question depends on the nature of the control input. If the control input is a way of configuring your design at compile time, the desired functionality can be achieved using generics and generate statements. Based on the way you have worded your question, I am going to assume that this is not the case. I will assume that your design must support both at different times, with the same compiled design.

In that case, you must instantiate both components, and route data to both components and somehow indicate to those components when the data is valid and must be processed. For example:. In this example, we have created 2 new signals, en1 and en2 which are '1' to enable each of the components at the appropriate time.

In each of the instantiated entities, you need to look at the en input to determine when the input data is valid. Note: Your design may already have a signal similar to en1 or en2.

For example, you may have a generic "bus" which has a valid signal, indicating when data on the bus is valid. Learn more.

Introduction to Buffers

Asked 6 years, 11 months ago. Active 3 years, 4 months ago. Viewed 2k times. Any ideas how to solve my problem? Mortada Mortada 75 8 8 bronze badges.

Active Oldest Votes. There are two possible interpretations to your question: Situation 1: Your design uses only one of two possible components at a time.Laboratory-based tests evaluate stove performance and quality in a controlled settings with repeatability, allowing for differentiation between stoves. Field-based tests demonstrate how stoves perform with local cooks, foods, practices, and fuels.

The Alliance maintains this comprehensive list of protocols for a range of stove and fuel types and archives of earlier versions available upon request. The other protocols shared below were developed by individual partner organizations or countries. Alliance partners are collaborating to further develop and harmonize protocols.

This document was developed to facilitate the work of the Field Testing Working Group of Technical Committee in International Organization for Standardization ISOfocused on cookstoves and clean cooking solutions.

The Field Testing Working Group organized these resources together to support work to develop an ISO standards document on field testing. This document has been shared to support the work of other experts doing field studies. Cookstove Field Study Resources Biomass Stove Safety Protocol This protocol includes set of guidelines and safety evaluation procedures using simple equipment to perform most, if not all, of the safety procedures.

The protocol also includes guidelines for use by designers to create safer stoves. An overall safety rating can be calculated through a combination of individual test results. BSSP 1. The CCT is designed to assess stove performance in a controlled setting using local fuels, pots, and practice. It reveals what is possible in households under controlled conditions but not necessarily what is actually achieved by households during daily use.

CCT 2. This protocol is intended to provide methods for evaluating cookstove durability.

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Although the term durability is used here, quality may be a more appropriate term. The tests seek to identify not only aspects of cookstove designs that may affect usable life, but also the larger concept of cookstove quality.

compilation of possible components in the mass range of 1

As this is a relatively new protocol, please send feedback about this protocol to info cleancookstoves. Durability 1. It is designed to assess actual impacts on household fuel consumption. KPTs are typically conducted in the course of an actual dissemination effort with real populations cooking normally, and give the best indication of real world performance.

compilation of possible components in the mass range of 1

The KPT 4. The KPT 3. KPT 4. This standard is designed to promote uniformity and consistency in the terms and units used to describe, test, rate, and evaluate solar cookers, solar cooker components, and solar cooker operation. AWBT 2. EPTP 3.Modules include a MCU, connectivity and onboard memory, making them ideal for designing IoT products for mass production.

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Our partners Dozens of leading companies trust Mbed OS. Become a partner Bring your services to overdevelopers. Modules Modules include a MCU, connectivity and onboard memory, making them ideal for designing IoT products for mass production.

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