http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Higuera-Rubio Jesús M.,Ibarra-Laclette Enrique,Reyes-López Miguel A.,Sandoval-Castro Eduardo,Cruz-Mendívil Abraham,Vega-García Misael O.,Calderón-Vázquez Carlos L. 한국식물생명공학회 2022 Plant biotechnology reports Vol.16 No.4
This study aims to disentangle avocado enzymatic browning by identifying and analyzing the PPO coding genes. Two avocado accessions (AVO48 and San Miguel) and the Hass cultivar with contrasting browning kinetics and enzyme activity levels were selected for gene characterization. Upon 90 min of light exposure, Hass and San Miguel showed a greater decrease in luminosity retention (closer to 40% of initial luminosity) compared to AVO48 (85% of luminosity). PPO activity in crude extracts was significantly higher (P < 0.05) in San Miguel (696 U μg-1 protein) than Hass (174 U μg-1 protein) and AVO48 (46–56 U μg-1 protein). San Miguel showed a higher Vmax Km-1 ratio (20.88 min-1), followed by Hass (14.29 min-1) and AVO48 (1.64 min-1), suggesting that San Miguel and Hass have higher substrate affinity. Four PPO coding genes: PamPPO1, PamPPO2, PamPPO3 and PamPPO4 were identified in the Hass genome, all of them containing the main features of plant PPOs, but with specific amino acid combinations in the catalytic pocket of the tyrosinase domain; suggesting that PPO1, PPO2 and PPO4 have monophenolase activity, whereas PPO3, has o-diphenolase activity. The evidence of transcription of PPO3 in fruit of the three genotypes suggests an important role for this gene in avocado pulp browning. PPO2 expression was only found in AVO48. This research provides gene candidates for selective silencing to reduce enzymatic browning.
Ferreira, Má,rio F S,Castro-Camus, Enrique,Ottaway, David J,Ló,pez-Higuera, José,Miguel,Feng, Xian,Jin, Wei,Jeong, Yoonchan,Picqué,, Nathalie,Tong, Limin,Reinhard, Bjö,rn M IOP 2017 Journal of optics Vol.19 No.8
<P>Sensors are devices or systems able to detect, measure and convert magnitudes from any domain to an electrical one. Using light as a probe for optical sensing is one of the most efficient approaches for this purpose. The history of optical sensing using some methods based on absorbance, emissive and florescence properties date back to the 16th century. The field of optical sensors evolved during the following centuries, but it did not achieve maturity until the demonstration of the first laser in 1960. The unique properties of laser light become particularly important in the case of laser-based sensors, whose operation is entirely based upon the direct detection of laser light itself, without relying on any additional mediating device. However, compared with freely propagating light beams, artificially engineered optical fields are in increasing demand for probing samples with very small sizes and/or weak light−matter interaction. Optical fiber sensors constitute a subarea of optical sensors in which fiber technologies are employed. Different types of specialty and photonic crystal fibers provide improved performance and novel sensing concepts. Actually, structurization with wavelength or subwavelength feature size appears as the most efficient way to enhance sensor sensitivity and its detection limit. This leads to the area of micro- and nano-engineered optical sensors. It is expected that the combination of better fabrication techniques and new physical effects may open new and fascinating opportunities in this area. This roadmap on optical sensors addresses different technologies and application areas of the field. Fourteen contributions authored by experts from both industry and academia provide insights into the current state-of-the-art and the challenges faced by researchers currently. Two sections of this paper provide an overview of laser-based and frequency comb-based sensors. Three sections address the area of optical fiber sensors, encompassing both conventional, specialty and photonic crystal fibers. Several other sections are dedicated to micro- and nano-engineered sensors, including whispering-gallery mode and plasmonic sensors. The uses of optical sensors in chemical, biological and biomedical areas are described in other sections. Different approaches required to satisfy applications at visible, infrared and THz spectral regions are also discussed. Advances in science and technology required to meet challenges faced in each of these areas are addressed, together with suggestions on how the field could evolve in the near future.</P>