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Biomedical subjects

J F Beesley

Publications and source records attributed to J F Beesley.

2 recordsLinked to original sources

Bioapplication of colloidal gold in microbiological immunocytochemistry.

Microbiological organisms are an ubiquitous group of animals encompassing bacteria, viruses, protozoa, algae and fungi. They are adapted for survival in many diverse habitats and exert a profound effect on man and his environment. Colloidal gold electron immunocytochemistry is a useful technique for studying these organisms and may be applied in several ways. The post-embedding technique is used to detect internal antigens, whilst the pre-embedding technique is employed for the detection of external antigens. In contrast the immuno-negative stain technique is applied to detect antigens on structures such as viruses or bacterial pili which may be dried down onto an electron microscope grid and immunolabelled in situ. In addition the immunoreplica technique allows the examination of cell surfaces for the appearance of antigens. Together these techniques have yielded valuable information concerning microbiological organisms.

Bacteria↗

Computerized chromatographic peak detection using the trigg tracking signal. An application devised for use with an online analog to digital converter connected between an amino acid analyser and a personal computer.

Manual integration of the amino acid peaks from physiological samples produced by conventional anion exchange liquid chromatography is a time-consuming process. This paper describes a combined unit, consisting of an analog to digital converter and a personal computer, which was connected in parallel with the chart recorder and the analyser's 570 nm channel of the colorimeter. The computer was programmed to log the digitized data, detect the start, maximum and end of each chromatographic peak, calculate the area under the peak and its retention time and provide a printout of the results at the end of the elution program. The computer program successfully exploited the Trigg Tracking Signal as both a peak detection and as a moving baseline monitoring device. This approach proved to have an equivalent performance to the manual method for 17 out of the 19 amino acids normally quantitated in physiological samples. The automated detection and quantitation of arginine was unsatisfactory due to its characteristically low profile peak shape, and proline was not measured because the device was not connected to the 440 nm channel of the colorimeter. The automated system provided economic and analytically acceptable solutions to the problem of providing an online integrator versatile enough to be used with the 255 min long amino acid analysis of physiological fluids.

Amino Acids↗