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1.
Artículo en Inglés | MEDLINE | ID: mdl-31890234

RESUMEN

BACKGROUND: Crude glycerol coming from biodiesel production is an attractive carbon source for biological production of chemicals. The major impurity in preparations of crude glycerol is methanol, which is toxic for most microbes. Development of microbes, which would not only tolerate the methanol, but also use it as co-substrate, would increase the feasibility of bioprocesses using crude glycerol as substrate. RESULTS: To prevent methanol conversion to CO2 via formaldehyde and formate, the formaldehyde dehydrogenase (FLD) gene was identified in and deleted from Yarrowia lipolytica. The deletion strain was able to convert methanol to formaldehyde without expression of heterologous methanol dehydrogenases. Further, it was shown that expression of heterologous formaldehyde assimilating enzymes could complement the deletion of FLD. The expression of either 3-hexulose-6-phosphate synthase (HPS) enzyme of ribulose monosphosphate pathway or dihydroxyacetone synthase (DHAS) enzyme of xylulose monosphosphate pathway restored the formaldehyde tolerance of the formaldehyde sensitive Δfld1 strain. CONCLUSIONS: In silico, the expression of heterologous formaldehyde assimilation pathways enable Y. lipolytica to use methanol as substrate for growth and metabolite production. In vivo, methanol was shown to be converted to formaldehyde and the enzymes of formaldehyde assimilation were actively expressed in this yeast. However, further development is required to enable Y. lipolytica to efficiently use methanol as co-substrate with glycerol.

2.
Ultrasound Med Biol ; 43(9): 1930-1937, 2017 09.
Artículo en Inglés | MEDLINE | ID: mdl-28634042

RESUMEN

The importance of quality assurance (QA) in medical ultrasound (US) has been widely recognized and recommendations concerning technical QA have been published over the years. However, the demonstrated impact of a properly working QA protocol on clinical routine has been scarce. We investigated the transducer write-off causes for a 5-y period in a multi-unit radiology department with an annual average of 230 transducers in demanding diagnostic use. The transducer faults and the initial observers of the faults leading to transducer write-offs were traced and categorized. The most common cause of transducer write-off was an image uniformity problem or element failure. Mechanical faults or excessive leakage current and defects in the lens constituted smaller yet substantial shares. Our results suggest that a properly working routine QA program can detect majority of the faults before they are reported by users.


Asunto(s)
Análisis de Falla de Equipo/métodos , Garantía de la Calidad de Atención de Salud/métodos , Servicio de Radiología en Hospital , Transductores/normas , Ultrasonografía/instrumentación , Ultrasonografía/normas , Análisis de Falla de Equipo/estadística & datos numéricos , Humanos , Estudios Retrospectivos , Transductores/estadística & datos numéricos
3.
Eur J Radiol ; 80(2): 519-25, 2011 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-21144687

RESUMEN

OBJECTIVE: To setup a practical ultrasound quality assurance protocol in a large radiological center, results from transducer tests, phantom measurements and visual checks for physical faults were compared. MATERIALS AND METHODS: Altogether 151 transducers from 54 ultrasound scanners, from seven different manufacturers, were tested with a Sonora FirstCall aPerio™ system (Sonora Medical Systems, Inc., Longmont, CO, USA) to detect non-functional elements. Phantom measurements using a CIRS General Purpose Phantom Model 040 (CIRS Tissue Simulation and Phantom Technology, VA, USA) were available for 135 transducers. The transducers and scanners were also checked visually for physical faults. The percentages of defective findings in these tests were computed. RESULTS: Defective results in the FirstCall tests were found in 17% of the 151 transducers, and in 16% of the 135 transducers. Defective image quality resulted with 15% of the transducers, and 25% of the transducers had a physical flaw. In 16% of the scanners, a physical fault elsewhere than in the transducer was found. Seven percent of the transducers had a concurrent defective result both in the FirstCall test and in the phantom measurements, 8% in the FirstCall test and in the visual check, 4% in the phantom measurements and in the visual check, and 2% in all three tests. CONCLUSION: The tested methods produced partly complementary results and seemed all to be necessary. Thus a quality assurance protocol is forced to be rather labored, and therefore the benefits and costs must be closely followed.


Asunto(s)
Garantía de la Calidad de Atención de Salud , Ultrasonografía/normas , Análisis de Falla de Equipo , Humanos , Fantasmas de Imagen , Transductores
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