Water conditions influence the detectability of Crossodactylus gaudichaudii (Anura,Hylodidae) in streams of the Atlantic Forest

Stream-dwelling amphibians' occurrence, behaviour and reproductive success are strongly influenced by dynamic abiotic factors, for example, water flow and spray. These factors can disproportionately affect these frogs due to their dependency on specific favourable conditions for development and incapacity to disperse from unfavourable environments. We analysed the influence of environmental covariates on the detectability of Crossodactylus gaudichaudii, an amphibian species endemic to streams in the Brazilian Atlantic Forest. We conducted sampling in the streams of the Duas Bocas Biological Reserve, Brazil, and we measured air and water temperature, air humidity and pH of water on each sampling occasion. We estimated the effects of variables on the detectability of the species using single-season occupancy models. Our results indicated that the detectability of the species increases on occasions with higher water temperatures (24–26°C) and lower pH (5.0–5.5). We investigated the influence of these covariates only on the detectability of adult frogs, but it is likely that the physiochemical properties of stream water are more important to aquatic larvae, and hence, the probability of their detection. Given this, further studies should examine the relevance of covariates on the detectability of adult frogs as well as larvae.     

Nanostructured material-based optical and electrochemical detection of amoxicillin antibiotic

The penicillin derivative amoxicillin (AMX) plays an important role in treating various types of infections caused by bacteria. However, excessive use of AMX may have negative health effects. Therefore, it is of utmost importance to detect and quantify the AMX in pharmaceutical drugs, biological fluids, and environmental samples with high sensitivity. Therefore, this review article provides valuable and up-to-date information on nanostructured material-based optical and electrochemical sensors to detect AMX in various biological and chemical samples. The role of using different nanostructured materials on the performance of important optical sensors such as colorimetric sensors, fluorescence sensors, surface-enhanced Raman scattering sensors, chemiluminescence/electroluminescence sensors, optical immunosensors, optical fibre-based sensors, and several important electrochemical sensors based on different electrode types have been discussed. Moreover, nanocomposites, polymer, and MXenes-based electrochemical sensors have also been discussed, in which such materials are being used to further enhance the sensitivity of these sensors. Furthermore, nanocomposite-based photo-electrochemical sensors and the market availability of biosensors including AMX have also been discussed briefly. Finally, the conclusion, challenges, and future perspectives of the above-mentioned sensing techniques for AMX detection are presented.     

Searching by parts: Towards fine-grained image retrieval respecting species correlation

Most of the existing works on fine-grained image categorization and retrieval focus on finding similar images from the same species and often give little importance to inter-species similarities. However, these similarities may carry species correlations such as the same ancestors or similar habits, which are helpful in taxonomy and understanding biological traits. In this paper, we devise a new fine-grained retrieval task that searches for similar instances from different species based on body parts. To this end, we propose a two-step strategy. In the first step, we search for visually similar parts to a query image using a deep convolutional neural network (CNN). To improve the quality of the retrieved candidates, structural cues are introduced into the CNN using a novel part-pooling layer, in which the receptive field of each part is adjusted automatically. In the second step, we re-rank the retrieved candidates to improve the species diversity. We achieve this by formulating a novel ranking function that balances between the similarity of the candidates to the queried parts, while decreasing the similarity to the query species. We provide experiments on the benchmark CUB200 dataset and Columbia Dogs dataset, and demonstrate clear benefits of our schemes.     

基于土地利用变化的东海区大陆海岸带生境质量时空演变研究

人类活动对生态环境的影响主要表现为土地利用方式的变化。土地利用变化影响下的生境质量时空格局演变,对优化区域国土生态布局具有重要意义。利用DEM数据、气象数据、社会经济数据与1980、1990、2000、2010、2018年5期土地利用数据,通过InVEST模型、景观格局指数、地理探测器评估、描述、分析东海区大陆海岸带生境质量时空演变特征。结果表明：(1)1980—2018年东海区大陆海岸带陆地面积增加,土地利用中林地所占比重最大,耕地、建设用地面积变化最明显,2000—2010年土地利用转化最显著。土地变化北部大于南部、东侧大于西侧。(2)1980—2018年生境质量均值为0.75,总体生境质量较好,但呈下降趋势,2000—2010年生境质量下降最明显,2010年后下降速度减缓。生境质量斑块趋于破碎化、多样化、均匀化。(3)生境质量总体上从沿海向内陆下降,受岸线性质与围垦影响,北部生境质量由陆向海退化,南部生境退化沿海向陆推进。低等生境质量区呈现点—面—带的扩张趋势。(4)建设用地指数、高程、夜间灯光亮度、土壤类型、坡度为影响生境质量分布的主要因素,38年间主导因素由高程变为建设用地指...     

构建全细胞生物传感器测定农田土壤中有机磷农药甲基对硫磷含量

土壤中污染物的生物有效性评估对于准确评价环境污染风险至关重要,而全细胞生物传感器是此类评估的重要工具之一。本研究旨在使用新型全细胞生物传感器建立土壤中甲基对硫磷(methyl parathion,MP)的检测方法。首先,使用筛选出的甲基对硫磷水解酶基因(methyl parathion degrading gene,mpd)和pUC19质粒骨架以及已有的特异性诱导元件pobR为材料,构建全细胞生物传感器。然后,以96孔的酶标板为载体和以5种全细胞生物传感器为指示细胞,建立了土壤提取液样品中甲基对硫磷的分析方法,并应用于实际测试和田间土壤样品中甲基对硫磷的检测。以检测性能的最佳大肠杆菌(Escherichia coli)DH5α/pMP-AmilCP为例,其检测限为6.21−6.66μg/L,线性范围为10−10000μg/L。E.coli DH5α/pMP-RFP和E.coli DH5α/pMP-AmilCP的方法用于分析土壤提取液样品中甲基对硫磷的浓度,具有较好的检测性能。这种全细胞生物传感器方法有助于快速评估土壤中甲基对硫磷的生物有效性强弱,从而有效判断有机磷农药甲基对硫磷对土壤的污染风险。     

聚对苯二甲酸乙二醇酯水解酶检测方法的研究进展

聚对苯二甲酸乙二醇酯(polyethylene terephthalate,PET)是应用最广泛的合成聚酯之一。由于PET不易降解,在环境中积累,对陆地、水生生态系统以及人类健康构成严重威胁。基于生物酶催化的生物降解策略为PET回收利用提供了一种绿色途径,在过去20年间,已发现了多种PET水解酶,并通过蛋白质工程等手段来改善这些酶的降解性能,但是目前仍未找到适合大规模工业应用的PET水解酶。利用传统的检测方法筛选PET水解酶是一个缓慢而复杂的过程。为了促进PET酶法回收的工业化应用,需要研发高效的检测方法。近年来,研究人员开发了多种表征PET水解酶的分析方法。本文总结了可用于筛选PET水解酶的检测方法,如高效液相色谱法、紫外吸光度法和荧光激活液滴分选法等,并对其在筛选PET水解酶的应用方面进行了展望。     

Stereoselective HPLC bioanalysis of atenolol enantiomers in plasma: Application to a comparative human pharmacokinetic study

An enantioselective HPLC bioassay has been developed relying on extraction of (R)- and (S)-atenolol from alkalinized plasma or serum (pH > 12) into dichloromethane containing 5% (v/v) 1-butanol followed by an achiral derivatization of the drug with phosgene leading to (R)- and (S)-oxazolidine-2-one derivatives. Under these conditions there was quantitative conversion of the acetamido group to the corresponding nitrile. These stable derivatives were separated on a (R,R)-diaminocylohexane-dinitrobenzoyl chiral stationary phase [(R,R)-DACH-DNB] using dichloromethane/methanol 98/2 as mobile phase. Determination limits of 0.5 ng for (R)- and 0.6 ng for (S)-atenolol could be achieved using fluorimetric detection. The assay was applied to a human pharmacokinetic study which was performed in a randomized cross-over, double-blind fashion in 12 healthy volunteers, administering single oral doses of 100 mg (R,S)-, 50 mg (R)-, and 50 mg (S)-atenolol AUC_0–24 and C_max values of (R)-atenolol were slightly but significant higher than those of (S)-atenolol. The R/S ratios were 1.09 for AUC(R)/AUC(S) and 1.03 for C_max (R)/C_max(S) (P < 0.01) respectively after administration of the racemic drug. However, there were no differences between AUC, C_max, and t_½ values of each enantiomer, whether they were administered as single enantiometers or in the form of its racemic mixture. © 1993 Wiley-Liss, Inc.     

Bird carcass detection from integrated trials at multiple wind farms

It is often necessary to estimate the number of wind turbine collision fatalities to assess impacts to birds following construction of wind farms. Detection of bird carcasses at wind turbines in the field is affected by carcass persistence and searcher detection rate. Integrated detection trials, which integrate carcass persistence and searcher detection trials into the periodic fatality search, have been proposed as an effective method for estimating these parameters. The purpose of our study was to test whether and how environmental factors affect integrated detection trial outcomes at multiple wind farms. We conducted this study at 10 wind farms in various environments of Japan. Binary data on trial outcomes in open versus forested areas served as our response variable in a generalized additive mixed model informed by days into trial, carcass body mass, season, whether snow covered the ground, and precipitation. For both ground cover types, days into trial and body mass were included in all the top models, suggesting that these factors most influenced bird carcass detection probability in integrated trials. The best model in open areas included days into trial, body mass, snow, and precipitation, and the best model in forested areas included days into trial, body mass, snow, precipitation, and season. Values of area under the curve indicated high accuracy of the best model for both ground cover types. The survey design needs to be appropriate to the size of the target species and to the environment in which the impacts will occur, such as the site's seasonality, its ground cover, and whether snow will cover the ground. Frequency of post-construction fatality monitoring should also be set cautiously, especially at wind farms located on small-bird migration routes, at wind farms in open areas, in areas with snow-covered ground in winter, or in forested areas during spring and summer because detection probabilities decline fastest under such conditions.     

信号分子在生物脱氮中的作用及检测方法

生物脱氮是由微生物主导的地球氮循环中的重要环节之一,主要包括硝化、反硝化和厌氧氨氧化(anaerobic ammonium oxidation,anammox)等过程。在微生物联合作用下,污水中的有机氮及氨氮经一系列作用转化为氮气,这种经济高效、环境友好的处理工艺在世界范围内得到广泛应用。群体感应(quorum sensing,QS)以信号分子为媒介通过改变菌群密度和周围环境变化来调节微生物的各种行为。大量的研究已证实调控QS信号分子在生物脱氮中具有应用潜力。本文介绍了各种信号分子类型,从基因组学、实际应用等方面综述了各类信号分子以及检测方法,同时针对酰基高丝氨酸内酯(acyl homoserine lactones,AHLs)类信号分子在生物脱氮中的作用进行详细介绍。然而不足之处在于信号分子研究只是停留在实验室阶段,仅仅研究了单一信号分子对生物脱氮的影响。未来可将信号分子应用于实际污水,研究多种信号分子共同作用以及多种微生物之间的QS现象。     

基于双重芯片式数字PCR快速鉴定KPC型碳青霉烯耐药肺炎克雷伯菌的方法

【背景】由于碳青霉烯类药物的泛用和滥用,致使肺炎克雷伯菌碳青霉烯耐药株与日俱增,产碳青霉烯酶是肺炎克雷伯菌对碳青霉烯类药物耐药的主要原因。目前对肺炎克雷伯菌碳青霉烯耐药株的检测方法存在费时费力、特异性差、灵敏度低等问题。【目的】建立一种能同时检测肺炎克雷伯菌和碳青霉烯酶基因bla_KPC的双重芯片式数字PCR方法。【方法】依据肺炎克雷伯菌的特有基因yhaI和碳青霉烯耐药基因bla_KPC保守序列设计特异性引物和探针,确定双重芯片式数字PCR同时对yhaI和bla_KPC两个基因核酸浓度绝对定量的检测范围、检出限和最佳实验体系,并进行方法特异性、灵敏度、重复性分析及临床菌株的检测。【结果】双重芯片式数字PCR检测灵敏度比双重实时荧光定量PCR提高了约1.5个数量级,在两基因同时检出的情况下,最低检出限分别为3.74 copies/μL (yhaI基因)和1.93 copies/μL (bla_KPC基因);优化后的双重芯片式数字PCR对参考菌株检测特异性的结果与双重实时荧光定量PCR结果一致;利用优化后的双重芯片式数字PCR方法共检测58株临床菌株,其中肺炎克雷伯菌43株,属肺炎克雷伯菌且含有bla_KPC基因的菌株13株,这与质谱及耐药谱检测结果一致。【结论】利用双重芯片式数字PCR技术建立了产KPC型碳青霉烯酶肺炎克雷伯菌的绝对定量检测方法。该方法特异性强、灵敏度高、准确度好,可用于检测具有碳青霉烯酶基因bla_KPC的肺炎克雷伯菌的核酸检测和定量分析,也为产其他类型碳青霉烯酶的病原菌检测提供了新的技术参考。