PubMed · 13726735
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R H MULLER. 1960-07-22. Automatic chemical analysis.. https://doi.org/10.1111/j.1749-6632.1960.tb23224.x
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Apheresis component collection is a rapidly growing area in the blood collection field. Several instruments with varying capabilities are available. This is a brief review of the equipment available for granulocyte and apheresis component collection and indications for their use. In the United States, granulocytes are collected with the Fenwal CS3000, Fenwal CS3000 Plus, COBE (Gambro) Spectra, Haemonetics LN9000, and Fresenius AS 104. The use of hetastarch for sedimenting agent and stimulation with G-CSF and G-CSF plus dexamethasone have substantially increased granulocyte yields. Plateletapheresis is performed in the United States on the Fenwal CS3000, Fenwal CS3000 Plus, Fenwal Amicus, COBE (Gambro) Spectra, Gambro Trima Version 4, Gambro Trima Accel (Version 5), and Haemonetics LN9000. Automated red blood cell (RBC) collections are performed with the Haemonetics MCS+LN8150, Gambro Trima Version 4, Gambro Trima Accel (Version 5), Amicus, and Baxter Alyx. The RBC can be collected concurrently (with other components) in some instruments or separately in others. Plasma is collected concurrently on several instruments. Plasmapheresis for plasma only is performed on the Fenwal Autopheresis C and Haemonetics PCS2. Granulocyte yields range from 0.46 x 10(10) to 1.0 x 10(10) for unstimulated donors and 2.1 x 10(10) to 2.6 x 10(10) for donors stimulated with dexamethasone or prednisone. The use of G-CSF and G-CSF with dexamethasone has substantially increased granulocyte yields with yields of 4.1 x 10(10) to 10.8 x 10(10) reported. Platelet collection rates of 0.045-0.115 x 10(11) plt/min have been reported. Collection efficiencies of 46-85.7% have been reported. Automated (apheresis) component collection has the advantages of controlled volumes or doses of component, efficient use of the donor, multiple components from the same donor, better inventory control, and better quality control due to less manipulation of the individual components. Disadvantages of automated component collection include the use of expensive equipment and disposables, the need for specially trained machine operators, and lower capacity to collect large volumes of blood compared to whole blood donation. The use of apheresis component collection is rapidly growing to provide the best blood components in the most efficient manner.
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In traditional approaches, mitochondrial DNA (mtDNA) variation is exploited for forensic identity testing by sequencing the two hypervariable regions of the human mtDNA control region. To reduce time and labor, single nucleotide polymorphism (SNP) assays are being sought to possibly replace sequencing. However, most SNP assays capture only a portion of the total variation within the desired regions, require a priori knowledge of the position of the SNP in the genome, and are generally not quantitative. Furthermore, with mtDNA, the clustering of SNPs complicates the design of SNP extension primers or hybridization probes. This article describes an automated electrospray ionization mass spectrometry method that can detect a number of clustered SNPs within an amplicon without a priori knowledge of specific SNP positions and can do so quantitatively. With this technique, the base composition of a PCR amplicon, less than 140 nucleotides in length, can be calculated. The difference in base composition between two samples indicates the presence of an SNP. Therefore, no post-PCR analytical construct needs to be developed to assess variation within a fragment. Of the 2754 different mtDNA sequences in the public forensic mtDNA database, nearly 90% could be resolved by the assay. The mass spectrometer is well suited to characterize and quantitate heteroplasmic samples or those containing mixtures. This makes possible the interpretation of mtDNA mixtures (as well as mixtures when assaying other SNPs). This assay can be expanded to assess genetic variation in the coding region of the mtDNA genome and can be automated to facilitate analysis of a large number of samples such as those encountered after a mass disaster.