The influence of abundance on detectability

Plant and animal survey detection rates are important for ecological surveys, environmental impact assessment, invasive species monitoring, and modeling species distributions. Species can be difficult to detect when rare but, in general, how detection probabilities vary with abundance is unknown. We developed a new detectability model based on the time to detection of the first individual of a species. Based on this model, the predicted detection rate is proportional to a power function of abundance with a scaling exponent between zero and one that depends on clustering of individuals. We estimated the model parameters with data from three independent datasets: searches for chenopod shrub species and coins, experimental searches for planted seedlings, and frog surveys at multiple sites in sub‐tropical forests of eastern Australia. Analyses based on the detection time and detection probability suggest that detection rate increases with abundance as predicted. The model provides a way to scale detection rates to cases of low abundance when direct estimation of detection rates is often impractical.     

High-performance liquid chromatographic separation and detection methods for anabolic compounds

The role of high-performance liquid chromatography (HPLC) in methods of analysis for anabolic compounds in biological samples is reviewed. Special attention is given to both the separation and detection of anabolic compounds. A distinction is made between on-line detection systems, such as ultraviolet detection and diode-array detection, and off-line detection methods with special emphasis on immunochemical detection methods using non-isotopic labels. A number of applications are given to elucidate the possibilities of HPLC in the analysis of anabolic compounds.     

Comparison of three methods for beat-to-beat-interval extraction from continuous blood pressure and electrocardiogram with respect to heart rate variability analysis.

In recent years the analysis of heart rate variability (HRV) has become a suitable method for characterizing autonomous cardiovascular regulation. The aim of this study was to investigate the differences in HRV estimated from continuous blood pressure (BP) measurement by different methods in comparison to electrocardiogram (ECG) signals. The beat-to-beat intervals (BBI) were simultaneously extracted from the ECG and blood pressure of 9 cardiac patients (10 min, Colin system, 1000-Hz sampling frequency). For both data types, slope, peak, and correlation detection algorithms were applied. The short-term variability was calculated using concurrent 10-min BP and ECG segments. The root mean square errors in comparison to ECG slope detection were: 1.74 ms for ECG correlation detection; 5.42 ms for ECG peak detection; 5.45 ms for BP slope detection; 5.75 ms for BP correlation detection; and 11.96 ms for BP peak detection. Our results show that the variability obtained with ECG is the most reliable. Moreover, slope detection is superior to peak detection and slightly superior to correlation detection. In particular, for ECG signals with higher frequency characteristics, peak detection often exhibits more artificial variability. Besides measurement noise, respiratory modulation and pulse transit time play an important role in determining BBI. The slope detection method applied to ECG should be preferred, because it is more robust as regards morphological changes in the signals, as well as physiological properties. As the ECG is not recorded in most animal studies, distal pulse wave measurement in combination with correlation or slope detection may be considered an acceptable alternative.     

电化学发光在基因检测中的应用

电化学发光基因检测是把电化学发光的高灵敏性和传统分子生物学方法的稳定性结合于一体的一种新型的基因检测技术。与传统的基因检测方法相比,它具有无放射性危害、高灵敏度、操作简便等优点。近年被广泛地应用于核酸序列分析,基因突变分析,遗传病、转基因物种、病毒、微生物等的检测。本文概述了电化学发光的基本原理以及传统的基因检测技术,详细地介绍了电化学发光在当前基因检测中的应用现状,并对其前景作了展望。     

An Integrated Intrusion Detection Model of Cluster-Based Wireless Sensor Network

Considering wireless sensor network characteristics, this paper combines anomaly and mis-use detection and proposes an integrated detection model of cluster-based wireless sensor network, aiming at enhancing detection rate and reducing false rate. Adaboost algorithm with hierarchical structures is used for anomaly detection of sensor nodes, cluster-head nodes and Sink nodes. Cultural-Algorithm and Artificial-Fish–Swarm-Algorithm optimized Back Propagation is applied to mis-use detection of Sink node. Plenty of simulation demonstrates that this integrated model has a strong performance of intrusion detection.     

Pooling robustness in distance sampling: Avoiding bias when there is unmodelled heterogeneity

The pooling robustness property of distance sampling results in unbiased abundance estimation even when sources of variation in detection probability are not modeled. However, this property cannot be relied upon to produce unbiased subpopulation abundance estimates when using a single pooled detection function that ignores subpopulations. We investigate by simulation the effect of differences in subpopulation detectability upon bias in subpopulation abundance estimates. We contrast subpopulation abundance estimates using a pooled detection function with estimates derived using a detection function model employing a subpopulation covariate. Using point transect survey data from a multispecies songbird study, species-specific abundance estimates are compared using pooled detection functions with and without a small number of adjustment terms, and a detection function with species as a covariate. With simulation, we demonstrate the bias of subpopulation abundance estimates when a pooled detection function is employed. The magnitude of the bias is positively related to the magnitude of disparity between the subpopulation detection functions. However, the abundance estimate for the entire population remains unbiased except when there is extreme heterogeneity in detection functions. Inclusion of a detection function model with a subpopulation covariate essentially removes the bias of the subpopulation abundance estimates. The analysis of the songbird point count surveys shows some bias in species-specific abundance estimates when a pooled detection function is used. Pooling robustness is a unique property of distance sampling, producing unbiased abundance estimates at the level of the study area even in the presence of large differences in detectability between subpopulations. In situations where subpopulation abundance estimates are required for data-poor subpopulations and where the subpopulations can be identified, we recommend the use of subpopulation as a covariate to reduce bias induced in subpopulation abundance estimates.     

两种甲型肝炎病毒抗原快速检测方法的建立

目的建立两种甲型肝炎病毒抗原(HAV-Ag)检测试剂盒,并对其检测效果进行评价。方法生物素标记甲型肝炎病毒抗体(HAV-Ab)与辣根过氧化物酶标记亲和素联合应用建立甲型肝炎病毒抗原BA-ELISA检测法;同时使用辣根过氧化物酶标记HAV-Ab作放大系统建立双抗体夹心甲型肝炎病毒抗原ELISA检测试剂,对比两种检测方法的特异性、灵敏度及实际应用效果。结果用生物素标记甲型肝炎病毒抗体-辣根过氧化物酶标记亲和素作放大系统建立的甲型肝炎病毒抗原BA-ELISA检测法,较双抗体夹心ELISA检测方法灵敏度高1～2个稀释度;两种检测法均对10余种病毒无交叉,P/N值BA-ELISA检测法较高。结论甲型肝炎病毒抗原BA-ELISA检测法是一种灵敏度高,特异性好,方便快捷的检测方法,可广泛应用于甲型肝炎病毒研究及临床检测中。而甲型肝炎病毒抗原双抗体夹心ELISA检测法,检测灵敏度适中,操作简单,更适用于甲肝疫苗生产检定。     

耐除草剂玉米G1105E-823C定性检测方法

转基因耐除草剂玉米G1105E-823C是经过改造的转mG2-aroA基因耐草甘膦玉米新品系,具有更高的草甘膦耐受性,目前已完成生产性试验,具有重要的产业化应用前景。但目前尚无针对G1105E-823C的转化体特异性检测方法的相关报道,这十分不利于对该品系的检测及监管。基于此,以G1105E-823C转化体特异性序列为靶标,建立了转基因耐除草剂玉米G1105E-823C的普通PCR和实时荧光PCR定性检测方法。结果表明,2种方法均能检测出转基因耐除草剂玉米G1105E-823C转化体成分,且具有较高的特异性。普通PCR检测方法检出限达0.1%,实时荧光PCR检测方法检出限达0.05%。研究建立的2种定性检测方法为转基因耐除草剂玉米G1105E-823C的精准检测提供了新的技术手段,可为农业转基因监管提供技术支撑。     

基于深度学习的微藻自动检测系统研究

目的 微藻养殖产业规模巨大,在养殖过程中微藻易受杂菌和其他污染物的影响,因此需要定期对微藻进行检测,以确定其生长情况。现有的光学显微成像法和光谱分析法对实验人员、实验设备及场地的要求较高,无法做到实时快速检测。为了实现实时快速检测,需要一套检测要求低、速度快的实时微藻检测系统。方法 本文开发了一种基于深度学习的微藻检测系统,通过搭建一套基于明场成像的显微成像设备,使用采集的图像训练基于YOLOv3的神经网络,并将训练好的神经网络部署到微型计算机,从而实现了实时便携微藻检测。本文对特征提取网络进行改进,包括引入跨区域残差连接机制和注意力选择机制,另外还将优化器改为Adam优化器,使用多阶段多方法组合策略。结果 加载跨区域残差连接机制时最高平均精度（mAP）值为0.92。通过与人工结果进行对比,得到检测误差为2.47%。结论 该系统能够实现微藻实时便携检测,提供较为准确的检测结果,可以应用于微藻养殖中的定期检测。     

胶体金免疫层析试纸条技术在病毒检测领域的应用研究现状北大核心CSCD

胶体金免疫层析试纸条技术是一种快速、灵敏和精准的固相标记检测技术,胶体金免疫层析试纸条具有价格低廉、操作简便、检测快捷和特异性强的优点,具有在短时间内灵敏、准确地定性检测出相关病毒的潜在能力,有效解决传统检测方法在医学、兽医、动植物病毒检测和农药残留检测等领域存在检测时间长、设备不便和专业性强的弊端。目前在检测领域,该技术在检测细菌性疾病、病毒性疾病和预防传染性疾病大面积扩散等方面都有应用,因此,该技术在检验方面具有巨大的发展空间。文中主要对胶体金免疫层析技术进行综述,并对该技术在生物病毒检测方面进行总结和展望。     

环介导等温扩增技术在食品中痢疾志贺氏菌快速检测

【目的】探讨、优化基于环介导等温扩增技术(LAMP)快速检测常规食品中感染性痢疾志贺氏菌的方法。【方法】在NCBI数据库中搜索获取志贺氏菌的特异性基因高度保守区,设计3对LAMP反应引物,建立、优化该LAMP可视化检测方法,并评价其特异性、灵敏度,同时与PCR检测方法和传统检测方法对比,进行结果统计分析。【结果】5株志贺氏菌标准菌株样品均检测为阳性,11株非志贺氏菌标准菌株样品均检测为阴性,无交叉反应。最低检验限为1.6×101 CFU/反应(或1.6×101 CFU/m L),且经比较,LAMP检测灵敏度比PCR检测高出1个数量级。通过对161份实际样品和人工污染样品进行检测,LAMP检测与传统方法检测结果具有较高的一致性。【结论】LAMP具有检测过程快速简便、检测结果稳定、可靠的特点,适用于对常规食品中感染性痢疾志贺氏菌的高效、快速检测需求。     

Label-free multiplexed virus detection using spectral reflectance imaging

We demonstrate detection of whole viruses and viral proteins with a new label-free platform based on spectral reflectance imaging. The Interferometric Reflectance Imaging Sensor (IRIS) has been shown to be capable of sensitive protein and DNA detection in a real time and high-throughput format. Vesicular stomatitis virus (VSV) was used as the target for detection as it is well-characterized for protein composition and can be modified to express viral coat proteins from other dangerous, highly pathogenic agents for surrogate detection while remaining a biosafety level 2 agent. We demonstrate specific detection of intact VSV virions achieved with surface-immobilized antibodies acting as capture probes which is confirmed using fluorescence imaging. The limit of detection is confirmed down to 3.5 × 10(5)plaque-forming units/mL (PFUs/mL). To increase specificity in a clinical scenario, both the external glycoprotein and internal viral proteins were simultaneously detected with the same antibody arrays with detergent-disrupted purified VSV and infected cell lysate solutions. Our results show sensitive and specific virus detection with a simple surface chemistry and minimal sample preparation on a quantitative label-free interferometric platform.     

MDA技术在转基因检测中的研究与应用

PCR技术是转基因植物及其产品检测的主要方法,但是因为其对模板纯度和质量有较高要求,对于低质量模板难以获得稳定的检测结果。本研究利用MDA技术可将低至10 copies的微量DNA样品扩增至可用PCR方法稳定检出;进一步利用MDA技术对转基因玉米有证标准物质Bt11粉末的单颗粒痕量样品释出DNA进行扩增,结合PCR扩增检测,玉米粉末颗粒中内源参照基因的检出率达到70%以上,转基因特异性序列检出与内源参照基因检出的比值,与标准物质标称值基本相符,为建立基于MDA技术转基因植物及其产品粉末颗粒等痕量样品检测方法奠定了基础,同时也为加工产品中复合性状转基因作物的检测提供了潜在的解决方案。     

Comparison of detection methods for Acarus siro (Acari: Acaridida: Acarididae) contamination in grain

Acarus siro L. 1758 (Acari: Acaridida: Acarididae) is an important pest of stored grain because it contaminates the grain by allergens and transfers pathogenous microorganisms. Rapid detection of contamination enables to intercept an early grain infestation by the pest. In this study, we compared the usability and efficiency of various detection approaches. Under laboratory conditions, grain samples of various sizes were infested by different levels of the following contaminants: eggs, adults, and feces of A. siro. The samples were analyzed by enzyme-linked immunosorbent assay (ELISA) by using anti-A. siro polyclonal antibody (immunochemical method), extracted in Berlese-Tullgren funnels, sieved, and processed by filth-flotation (conventional methods). The adults or juveniles of A. siro could be detected by all the three tested conventional methods and ELISA with detection limits in the range from 221 to 1,157 mites/kg grain. Eggs were detected by filth-flotation only; the detection limit was 1,950 eggs/kg grain. The feces of A. siro were detectable by ELISA test, only. ELISA enabled the detection of the feces with the minimal threshold level of 1.04 microg feces/g grain; it means the assay allowed to trace less than one metabolically active mite per gram of grain. The study thus demonstrated that reliable A. siro detection in grain can only be achieved by combining different detection methods. European Union and U.S. administratives dictate zero or near-zero tolerance level for mite infestation in stored products. This demand is difficult to fulfill, because every detection method is limited by its detection limit; thus, it is hard to reliably detect infestation levels lower than obtained detection limits. This methodical limitation is discussed in context with the determined detection limits of the tested methods.     

用于新型冠状病毒检测的核酸等温扩增技术研究进展

核酸检测作为新型冠状病毒肺炎(COVID-19)筛查诊断和病情监测的主要手段,在疫情防控中发挥了重要作用。虽然实时荧光定量PCR被认为是新型冠状病毒(SARS-CoV-2)核酸检测的金标准,但其依赖荧光定量PCR仪且扩增检测时间较长,难以实现现场快速检测。因此许多基于核酸等温扩增的SARS-CoV-2检测方法相继诞生。等温扩增对仪器温控要求不高,通过与微流控芯片和可视化检测技术结合,可进一步简化操作、降低成本,为SARS-CoV-2现场快速筛查提供有力的技术支撑。本文围绕已报道的SARS-CoV-2等温扩增检测方法原理、检测性能及优缺点进行探讨,为进一步发展SARS-CoV-2现场快速检测平台提供参考。     

A Unimodal Model for Double Observer Distance Sampling Surveys

Distance sampling is a widely used method to estimate animal population size. Most distance sampling models utilize a monotonically decreasing detection function such as a half-normal. Recent advances in distance sampling modeling allow for the incorporation of covariates into the distance model, and the elimination of the assumption of perfect detection at some fixed distance (usually the transect line) with the use of double-observer models. The assumption of full observer independence in the double-observer model is problematic, but can be addressed by using the point independence assumption which assumes there is one distance, the apex of the detection function, where the 2 observers are assumed independent. Aerially collected distance sampling data can have a unimodal shape and have been successfully modeled with a gamma detection function. Covariates in gamma detection models cause the apex of detection to shift depending upon covariate levels, making this model incompatible with the point independence assumption when using double-observer data. This paper reports a unimodal detection model based on a two-piece normal distribution that allows covariates, has only one apex, and is consistent with the point independence assumption when double-observer data are utilized. An aerial line-transect survey of black bears in Alaska illustrate how this method can be applied.     

基于核酸侵入反应的基因突变检测方法研究进展

肿瘤靶向药物治疗需要检测特异性的基因突变。尽管已开发出多种基于模板扩增的基因突变检测方法,但由于存在扩增产物交叉污 染的风险,其应用受到极大限制。基于信号扩增的核酸侵入反应,由于不存在扩增产物污染的风险,并且具有良好的单碱基识别特异性, 非常适用于基因突变的检测。因此,一系列基于核酸侵入反应的基因突变检测方法应运而生。综述若干基于核酸侵入反应的基因突变检测 方法原理与应用研究。     

Surface plasmon resonance imaging on a microchip for detection of DNA-modified gold nanoparticles deposited onto the surface in a non-cross-linking configuration

We report theoretical predictions and experimental observations of the reduced detection volume with the use of surface-plasmon-coupled emission (SPCE). The effective fluorescence volume (detection volume) in SPCE experiments depends on two near-field factors: the depth of evanescent wave excitation and a distance-dependent coupling of excited fluorophores to the surface plasmons. With direct excitation of the sample (reverse Kretschmann excitation) the detection volume is restricted only by the distance-dependent coupling of the excitation to the surface plasmons. However, with the excitation through the glass prism at surface plasmon resonance angle (Kretschmann configuration), the detection volume is a product of evanescent wave penetration depth and distance-dependent coupling. In addition, the detection volume is further reduced by a metal quenching of excited fluorophores at a close proximity (below 10nm). The height of the detected volume size is 40-70nm, depending on the orientation of the excited dipoles. We show that, by using the Kretschmann configuration in a microscope with a high-numerical-aperture objective (1.45) together with confocal detection, the detection volume can be reduced to 1-2attoL. The strong dependence of the coupling to the surface plasmons on the orientation of excited dipoles can be used to study the small conformational changes of macromolecules.     

生物单分子光学探测方法的进展

活细胞中单分子的实时显视是单分子生物学的关键技术,本文针对单分子显视的光学方法做了评述。分别描述了共焦荧光显微术、荧光全内反射显微术以及荧光共振能量转移探测的技术细节,分析了这些技术对于单分子探测所具备的优势和不足。并对单分子方法的未来发展给出预测。指出包括原于力在内的各种探测手段的联合使用和创新荧光染料技术是进一步提高分辨率的突破口。而随着高灵敏和低噪音探测器的发展,各种新方法的出现也有可能突破目前荧光染料尺度给予的分辨极限。     

电化学免疫传感器在传染病快速检测中的应用

传染病的快速检测是传染病预防控制的重要环节,其中现场快速检测对于及时有效控制传染病疫情尤为关键。相比于传统检测方法,电化学免疫传感器具有操作简单、快速、灵敏、准确、设备可小型化等优势,可用于传染病快速检测。简要综述了近年来电化学免疫传感器在传染病快速检测中的应用研究进展,重点阐述了该类传感器在现场检测中的主要贡献和不足之处,以及免疫磁分离技术与电化学传感检测相结合在传染病快速检测方面的优势。