Measurement of isotopic uranium in water for compliance monitoring by liquid scintillation counting with alpha/beta discrimination

A simple and inexpensive method is described for analysis of uranium (U) activity and mass in water by liquid scintillation counting using $\alpha$/$\beta$ discrimination. This method appears to offer a solution to the need for an inexpensive protocol for monitoring U activity and mass simultaneously and an alternative to the potential inaccuracy involved when depending on the mass-to-activity conversion factor or activity screen.^ U is extracted virtually quantitatively into 20 ml extractive scintillator from a 1-$\ell$ aliquot of water acidified to less than pH 2. After phase separation, the sample is counted for a 20-minute screening count with a minimum detection level of 0.27 pCi $\ell\sp{-1}$. $\alpha$-particle emissions from the extracted U are counted with close to 100% efficiency with a Beckman LS6000 LL liquid scintillation counter equipped with pulse-shape discrimination electronics. Samples with activities higher than 10 pCi $\ell\sp-1$ are recounted for 500-1000 minutes for isotopic analysis. Isotopic analysis uses events that are automatically stored in spectral files and transferred to a computer during assay. The data can be transferred to a commercially available spreadsheet and retrieved for examination or data manipulation. Values for three readily observable spectral features can be rapidly identified by data examination and substituted into a simple formula to obtain $\sp{234}$U/$\sp{238}$U ratio for most samples. U mass is calculated by substituting the isotopic ratio value into a simple equation.^ The utility of this method for the proposed compliance monitoring of U in public drinking water supplies was field tested with a survey of drinking water from Texas supplies that had previously been known to contain elevated levels of gross $\alpha$ activity. U concentrations in 32 samples from 27 drinking water supplies ranged from 0.26 to 65.5 pCi $\ell\sp{-1}$, with seven samples exceeding the proposed Maximum Contaminant Level of 20 $\mu$g $\ell\sp{-1}$. Four exceeded the proposed activity screening level of 30 pCi $\ell\sp{-1}$. Isotopic ratios ranged from 0.87 to 41.8, while one sample contained $\sp{234}$U activity of 34.6 pCi $\ell\sp{-1}$ in the complete absence of its parent, $\sp{238}$U. U mass in the samples with elevated activity ranged from 0.0 to 103 $\mu$g $\ell\sp{-1}$. A limited test of screening surface and groundwaters for contamination by U from waste sites and natural processes was also successful. ^

Aminoacyl-tRNA synthetases: Probing the molecular basis of catalysis and discrimination

Aminoacyl-tRNA synthetases (RSs) are responsible for the essential connection of amino acids with trinucleotide sequences of tRNA's. The RS family constitutes two structurally dissimilar groups of proteins, class I and class II. Methionyl-tRNA synthetase (MetRS) and isoleucyl-tRNA synthetase (IleRS), both members of class I, were the focus of this work. Both enzymes are zinc-containing proteins; show a high degree of amino acid specificity; and edit activated noncognate amino acids, thereby ensuring the fidelity of the genetic code. The goals of this work were to further delineate the molecular basis of catalysis and discrimination in these enzymes by mapping active site geometries using high-resolution nuclear magnetic resonance spectroscopy (NMR).^ Internuclear distances obtained from transferred nuclear Overhauser effects were used to define the conformations of Mg($\alpha$,$\beta$-methylene)ATP bound to E. coli MetRS and E. coli IleRS in multiple complexes. Identical conformations were found for the bound ATP. Thus, the predicted structural homology between IleRS and MetRS is supported by consensus enzyme-bound nucleotide conformations. The conformation of the bound nucleotide is not sensitive to occupation of the amino acid site of MetRS or IleRS. Therefore, conformational changes known to occur in the synthetases upon ligand binding appear not to alter the bound conformation of the adenosine portion of the nucleotide. Nuclear Overhauser effects on the substrate amino acid L-selenomethionine were also used to evaluate the enzyme-bound conformation of the cognate amino acid. The amino acid assumes a conformation which is consistent with a proposed editing mechanism.^ The E. coli MetRS was shown to catalyze amino acid $\alpha$-proton exchange in the presence of deuterium oxide of all cognate amino acids. It is proposed that the enzyme-bound zinc coordinates the $\alpha$-carboxylate of the amino acid, rendering the $\alpha$-proton more acidic. An enzymic base is responsible for exchange of the $\alpha$-proton. This proposal suggests that the enzyme-bound zinc may have a role in amino acid discrimination in MetRS. However, the role of this exchange reaction in catalysis remains unknown. ^

Patient classification system: An integrated method for measuring nursing intensity and optimizing resource allocation

A patient classification system was developed integrating a patient acuity instrument with a computerized nursing distribution method based on a linear programming model. The system was designed for real-time measurement of patient acuity (workload) and allocation of nursing personnel to optimize the utilization of resources.^ The acuity instrument was a prototype tool with eight categories of patients defined by patient severity and nursing intensity parameters. From this tool, the demand for nursing care was defined in patient points with one point equal to one hour of RN time. Validity and reliability of the instrument was determined as follows: (1) Content validity by a panel of expert nurses; (2) predictive validity through a paired t-test analysis of preshift and postshift categorization of patients; (3) initial reliability by a one month pilot of the instrument in a practice setting; and (4) interrater reliability by the Kappa statistic.^ The nursing distribution system was a linear programming model using a branch and bound technique for obtaining integer solutions. The objective function was to minimize the total number of nursing personnel used by optimally assigning the staff to meet the acuity needs of the units. A penalty weight was used as a coefficient of the objective function variables to define priorities for allocation of staff.^ The demand constraints were requirements to meet the total acuity points needed for each unit and to have a minimum number of RNs on each unit. Supply constraints were: (1) total availability of each type of staff and the value of that staff member (value was determined relative to that type of staff's ability to perform the job function of an RN (i.e., value for eight hours RN = 8 points, LVN = 6 points); (2) number of personnel available for floating between units.^ The capability of the model to assign staff quantitatively and qualitatively equal to the manual method was established by a thirty day comparison. Sensitivity testing demonstrated appropriate adjustment of the optimal solution to changes in penalty coefficients in the objective function and to acuity totals in the demand constraints.^ Further investigation of the model documented: correct adjustment of assignments in response to staff value changes; and cost minimization by an addition of a dollar coefficient to the objective function. ^

REPSA: A method for determining the sequence specificity of DNA binding ligands

We developed a novel combinatorial method termed restriction endonuclease protection selection and amplification (REPSA) to identify consensus binding sites of DNA-binding ligands. REPSA uses a unique enzymatic selection based on the inhibition of cleavage by a type IIS restriction endonuclease, an enzyme that cleaves DNA at a site distal from its recognition sequence. Sequences bound by a ligand are protected from cleavage while unprotected sequences are cleaved. This enzymatic selection occurs in solution under mild conditions and is dependant only on the DNA-binding ability of the ligand. Thus, REPSA is useful for a broad range of ligands including all classes of DNA-binding ligands, weakly binding ligands, mixed populations of ligands, and unknown ligands. Here I describe REPSA and the application of this method to select the consensus DNA-binding sequences of three representative DNA-binding ligands; a nucleic acid (triplex-forming single-stranded DNA), a protein (the TATA-binding protein), and a small molecule (Distamycin A). These studies generated new information regarding the specificity of these ligands in addition to establishing their DNA-binding sequences. ^