MethodsX最新文献_第6页

A method for reconstituting the motility of membrane-bound myosin on the surface of the cell-sized W/O droplet 一种在细胞大小的W/O液滴表面重建膜结合肌球蛋白运动的方法

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-09 DOI: 10.1016/j.mex.2025.103755

Yusei Sato , Rieko Sumiyoshi , Masahito Hayashi , Masahiko Yamagishi , Junichiro Yajima

Membrane-bound myosin generates force through interactions with the cytoskeletal actin filament beneath the cell membrane and constitutes the mechanical basis for living cells. Myosin ID, a membrane-bound myosin, drives the gliding motion of actin filaments and binds to phospholipids in the lipid membrane of a living cell. Here, we describe the in-droplet actin filament gliding assay, a method that reconstitutes the motility of actomyosin that dynamically interacts with lipid membranes within water-in-oil (W/O) droplets, which mimic the confined geometry of the intracellular environment. Our method enables quantification of the gliding velocity of actin filaments driven by myosin ID on the inner surface of W/O droplets surrounded by a phospholipid membrane. The in-droplet actin filament gliding assay provides a valuable platform for reconstituting the motile properties of other membrane-bound myosins on membrane surfaces in confined spaces and for analyzing the dynamics of actomyosin networks. The main features and applications of this method are as follows:

•
Reconstitution of actin filament gliding driven by membrane-bound myosin ID within confined water-in-oil droplets.
•
Quantitative evaluation of actomyosin dynamics on the inner surface of the lipid membrane within water-in-oil-droplets.
•
Broadly applicable assay platform for studying the motile properties of membrane-associated myosin families.

膜结合肌球蛋白通过与细胞膜下的细胞骨架肌动蛋白丝相互作用产生力，构成活细胞的机械基础。肌凝蛋白ID是一种膜结合的肌凝蛋白，它驱动肌动蛋白丝的滑动运动，并与活细胞脂质膜中的磷脂结合。在这里，我们描述了液滴内肌动蛋白丝滑动实验，这是一种重建肌动蛋白运动的方法，它与油包水（W/O）液滴内的脂膜动态相互作用，模拟了细胞内环境的受限几何形状。我们的方法可以量化由肌球蛋白ID驱动的肌动蛋白丝在磷脂膜包围的W/O液滴内表面的滑动速度。液滴内肌动蛋白丝滑动试验为重建其他膜结合肌动蛋白在密闭空间膜表面的运动特性和分析肌动蛋白网络的动力学提供了一个有价值的平台。该方法的主要特点和应用如下：•由膜结合肌球蛋白ID驱动的肌动蛋白丝在受限油包水滴内的滑动重构。•定量评价油包水液滴内脂膜表面肌动球蛋白动力学。•广泛适用于研究膜相关肌球蛋白家族运动特性的分析平台。

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引用次数: 0

An approach to in vivo low-magnification optical coherence tomography for selective monitoring of tissue glucose concentration 一种用于选择性监测组织葡萄糖浓度的体内低倍光学相干断层扫描方法

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-08 DOI: 10.1016/j.mex.2025.103752

Akitoshi Seiyama , Fengcheng Wei , Masato Ohmi

The low-magnification optical coherence tomography (LM-OCT) is expected to enable the quantification of tissue glucose concentration (TGC) by maintaining high spatial resolution while reducing artifacts caused by tissue heterogeneity. In the present study, we report the practical application of LM-OCT using a conventional OCT system, i.e., without compromising spatial resolution, for the selective monitoring of changes in TGC through in vivo experiments using a hairless rat model.

A commercially available high-spatial resolution OCT device with a center wavelength of 1300 nm was used to detect the three-dimensional (3D) skin surface structure and the scattering coefficient related to the OCT slope.

The grand-averaged OCT signal was employed to estimate the OCT slope, while the original high-resolution OCT signals were used to reconstruct the 3D-structural image.

A strong linear correlation was observed between changes in the OCT slope and that in TGC, but not with 2-deoxy-glucose, lactate, or Intralipos (soybean oil).

低倍率光学相干断层扫描（LM-OCT）有望通过保持高空间分辨率，同时减少由组织异质性引起的伪影，实现组织葡萄糖浓度（TGC）的量化。在本研究中，我们报告了LM-OCT在传统OCT系统的实际应用，即在不影响空间分辨率的情况下，通过无毛大鼠模型的体内实验，选择性地监测TGC的变化。利用市售的中心波长为1300 nm的高空间分辨率OCT装置检测皮肤的三维（3D）表面结构和与OCT斜率相关的散射系数。利用大平均OCT信号估计OCT斜率，利用原始高分辨率OCT信号重建三维结构图像。OCT斜率的变化与TGC有很强的线性相关性，但与2-脱氧葡萄糖、乳酸或脂肪内酯（大豆油）没有相关性。

引用次数: 0

Application of multiple parallel mineralization method to grow lettuce, Swiss chard, and peppers in a simplified deep flow technique hydroponic system 多重平行矿化法在简化深流技术水培系统中种植生菜、甜菜和辣椒的应用

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-06 DOI: 10.1016/j.mex.2025.103749

Jada Tarvin-Imeokparia , Adeyemi Abejoye , Isabella Vega , Max Abel Alphonse Mendoza , Campbell Moses , Myalia Durno , Meghan S. Cahill , Christian O. Dimkpa , Jason C. White , Shelley Durocher , Frederick Pettit , Mark Meyering , Jonathan M. Jacobs , Maria Soledad Benitez Ponce , Nathaniel Heiden

Organic fertilizers are not widely used in hydroponics due to an absence of mineralizing microbes that process organic inputs into plant available forms. The Multiple Parallel Mineralization (MPM) method enables this microbial processing to occur in hydroponic systems. The objective of this method is to provide an accessible protocol for use of the MPM method in simplified deep flow technique hydroponic systems without a need for laboratory testing of nutrient content. The method described here provides hydroponic growers with an alternative option to mineral fertilizers. We provide information about yields and the affordability of this method that growers can use to determine the economic viability of this method in their respective markets.

Swiss chard, lettuce, and bell peppers were grown with this method

Aquarium nitrate test kits are used to replace lab testing typically used with the MPM method to validate the presence of nitrate as an indicator of microbial activity

有机肥料在水培中没有广泛使用，因为没有矿化微生物将有机输入转化为植物可用的形式。多重平行矿化（MPM）方法使这种微生物处理发生在水培系统。该方法的目的是为在简化的深流技术水培系统中使用MPM方法提供一个可访问的协议，而无需实验室测试营养成分。这里描述的方法为水培种植者提供了矿物肥料的另一种选择。我们提供了有关产量和这种方法的可负担性的信息，种植者可以使用这些信息来确定这种方法在各自市场上的经济可行性。瑞士甜菜、生菜和甜椒都是用这种方法种植的。硝酸水族馆测试试剂盒用来取代通常用MPM方法进行的实验室测试，以验证硝酸盐作为微生物活动指标的存在

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引用次数: 0

Corrigendum to “From detection to grading: A hybrid KOA-YOLOv5-RF model for knee osteoarthritis diagnosis” [MethodsX, Volume 15, December 2025, 103725] “从检测到分级：一种混合KOA-YOLOv5-RF模型用于膝骨关节炎诊断”的勘误表[MethodsX， vol . 15, December 2025, 103725]

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-06 DOI: 10.1016/j.mex.2025.103751

Manikandaprabhu Perumalsamy , Priya Govindarajan , Rinhas Bran , Adarsh Krishna KP , Niranjan V Jyothi , M Batumalay

引用次数: 0

Assessing maternal postnatal depression, bonding and practices in mothers of preterm and low birth weight infants in Indonesia 评估印度尼西亚早产儿和低出生体重儿母亲的产后抑郁、联系和做法

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-05 DOI: 10.1016/j.mex.2025.103750

Ricvan Dana Nindrea , Linda Rosalina , Milya Novera , Long Chiau Ming , Nissa Prima Sari , Nabil Aresto Avilla , Fanisha Anugrah Rahmadhani Putri , Nailah Putri Rivani

Preterm and low birth weight (LBW) infants face elevated health risks and require specialized care. Maternal postnatal depression (PND) and the quality of mother–infant bonding are critical determinants of caregiving practices and neonatal outcomes. However, practical, validated methods for assessing these constructs remain limited within the Indonesian clinical and research context. This study presents a protocol for assessing PND and bonding among mothers of preterm and LBW infants in Indonesia. A community-based cross-sectional design was implemented across three districts in West Sumatra. A total of 255 mothers of preterm or LBW infants were selected using multistage random sampling. PND was measured using the validated 10-item Edinburgh Postnatal Depression Scale (EPDS), with a cut-off score of 12/13 indicating significant depression. Mother–infant bonding was assessed with a culturally adapted 10-item bonding questionnaire. Maternal practices were evaluated using an 8-item checklist covering breastfeeding, Kangaroo Mother Care, immunization, and use of maternal–child health records. Instruments underwent expert review, translation and back-translation, and pilot testing to ensure validity and reliability (Cronbach’s α: 0.75–0.90). The primary endpoints included the identification of maternal PND, the quality of bonding, and maternal adherence to essential infant care practices. Data collection followed a standardized interviewer protocol, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The protocol proved feasible in community settings and provides a replicable method to evaluate maternal PND and bonding, with potential to inform interventions that enhance neonatal care outcomes.

早产和低出生体重婴儿面临较高的健康风险，需要专门护理。产妇产后抑郁（PND）和母婴结合的质量是护理实践和新生儿结局的关键决定因素。然而，在印度尼西亚的临床和研究背景下，评估这些结构的实用、有效的方法仍然有限。本研究提出了一个方案，评估PND和粘合之间的母亲早产儿和低体重婴儿在印度尼西亚。在西苏门答腊的三个地区实施了基于社区的横断面设计。采用多阶段随机抽样的方法，选取255名早产儿或低体重儿母亲。PND采用经过验证的10项爱丁堡产后抑郁量表（EPDS）进行测量，截止分数为12/13表示明显抑郁。采用文化适应性的10项亲子关系问卷对母子关系进行评估。使用包括母乳喂养、袋鼠妈妈护理、免疫接种和使用母婴健康记录在内的8项检查表对孕产妇实践进行了评估。仪器经过专家评审、翻译和反翻译以及试点测试以确保效度和信度（Cronbach’s α: 0.75-0.90）。主要终点包括产妇PND的识别，结合的质量，以及产妇遵守基本的婴儿护理实践。数据收集遵循标准化采访者协议，并使用偏最小二乘结构方程模型（PLS-SEM）对数据进行分析。该方案在社区环境中被证明是可行的，并提供了一种可复制的方法来评估产妇PND和联系，有可能为提高新生儿护理结果的干预措施提供信息。

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引用次数: 0

Artificial neural network based predictive modeling of viscosity of an oil based hybrid nanofluid 基于人工神经网络的油基混合纳米流体粘度预测建模

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-04 DOI: 10.1016/j.mex.2025.103748

Muhammad Furqan , Fahim Raees , Muhammad Khalid

In many industries like micro-electronics, mechanical engines, transportation, manufacturing and nuclear reactors cooling characteristics which is a crucial challenge can optimize using nanofluid. Nanofluids are also used for better energy transfer and storage in many devices. In the current study the viscosity variation studied by the impact of input variables solid volume fraction and temperature. Sol-gel auto-combustion was used to prepare nickel ferrite (NiFe₂O₄) nano-particles. The structure of the NiFe₂O₄ was obtained using an X-ray diffraction method. The Fourier transform infrared spectrum provided evidence of NiFe₂O₄ presence. In order to better understand the surface morphology of nickel ferrite nano-particles, scanning electron microscopy (SEM) was employed. AT the various concentrations of nanofluid 0, 0.25, 0.50, 0.75, and 1 % were prepared. The viscosity was calculated at temperatures ranges 40 to 80 °C. The experimental results showed that the viscosity of nanofluid (µ_nf) falls as the volume fraction(φ) increases and as the temperature rises. RSM and ANN predicted data have R² values of 0.9987 and 0.9999 respectively.. ANN accuracy can also be seen by MSE value. ANN shows less MSE value (0.00001) as compare to RSM that has MSE 0.0002. Which shows the ANN accuracy over RSM.

Predictive modelling for viscosity of Oil-Based Hybrid Nanofluid.

Artificial Neural Network and Response surface methodology methods were used for correlation.

Results were correlated with experimental data.

在微电子、机械发动机、交通运输、制造业和核反应堆等许多行业中，利用纳米流体可以优化冷却特性是一个至关重要的挑战。在许多设备中，纳米流体也用于更好的能量传递和存储。在目前的研究中，粘度的变化主要受固体体积分数和温度等输入变量的影响。采用溶胶-凝胶自燃烧法制备了纳米铁酸镍（NiFe2O4）。用x射线衍射法得到了NiFe2O4的结构。傅里叶变换红外光谱提供了NiFe2O4存在的证据。为了更好地了解纳米铁酸镍颗粒的表面形貌，采用扫描电子显微镜（SEM）进行了研究。分别制备了浓度为0、0.25、0.50、0.75、1%的纳米流体。在40 ~ 80℃的温度范围内计算了粘度。实验结果表明，随着体积分数（φ）的增大和温度的升高，纳米流体的粘度（µnf）减小。RSM和ANN预测数据的R2值分别为0.9987和0.9999。通过MSE值也可以看出人工神经网络的准确性。与MSE为0.0002的RSM相比，ANN的MSE值（0.00001）更小。这显示了人工神经网络在RSM上的精度。油基混合纳米流体粘度预测模型。采用人工神经网络和响应面方法进行相关性分析。结果与实验数据相吻合。

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引用次数: 0

An accessible HPLC-DAD method for the direct detection of acrolein-trapping compounds in complex plant matrices 直接检测复杂植物基质中丙烯醛捕获化合物的高效液相色谱- dad方法

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-03 DOI: 10.1016/j.mex.2025.103747

Andy Zedet , Alison Aebischer , Marc Pudlo , Luca Marchisio , Samba Fama Ndoye , Corine Girard , François Senejoux

Acrolein is a highly reactive α,β-unsaturated aldehyde implicated in numerous diseases and pathological conditions. Developing strategies to alleviate its harmful effects is thus of key importance, with scavengers that trap acrolein emerging as a promising approach. Recent efforts have focused on identifying effective phytoconstituents, but detecting active components in complex plant matrices remains a challenging and time-consuming task. This study introduces a new application of HPLC-DAD for the instantaneous detection of acrolein scavengers in such complex extracts. To mimic this chemical diversity and test the method’s efficiency, a multicomponent mixture of ten phytochemical standards was employed. The procedure involved pre-column incubation of the mixture with varying concentrations of acrolein, allowing for the selective identification of active components through signal reduction. The results were further validated through conventional evaluation of individual constituents, confirming the method's reliability.

•
Development of a novel application of HPLC-DAD for the instantaneous detection of acrolein-trapping constituents in complex plant matrices
•
Application of the method to a ten-phytoconstituent mixture designed to simulate the chemical complexity of a plant extract
•
Validation of method efficiency through comparison with conventional scavenging evaluations of individual compounds

丙烯醛是一种高活性的α，β-不饱和醛，与许多疾病和病理状况有关。因此，制定减轻其有害影响的策略至关重要，捕集丙烯醛的清除剂正在成为一种有前途的方法。最近的努力集中在鉴定有效的植物成分，但检测复杂植物基质中的有效成分仍然是一项具有挑战性和耗时的任务。本研究介绍了HPLC-DAD快速检测此类复杂提取物中丙烯醛清除剂的新应用。为了模拟这种化学多样性并测试方法的效率，采用了十种植物化学标准的多组分混合物。该程序包括柱前孵育的混合物与不同浓度的丙烯醛，允许选择性识别活性成分通过信号还原。通过对单个成分的常规评价进一步验证了结果，证实了该方法的可靠性。•开发一种新的HPLC-DAD应用于复杂植物基质中丙烯醛捕获成分的瞬时检测•将该方法应用于十种植物成分混合物，旨在模拟植物提取物的化学复杂性•通过与传统的单个化合物清除评估的比较验证方法效率

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引用次数: 0

TARGETFLOW:An automated literature mining pipeline for accelerating the discovery of high-potential targets in rare and mature diseases TARGETFLOW：一个自动化的文献挖掘管道，用于加速发现罕见和成熟疾病的高潜力靶点

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-01 DOI: 10.1016/j.mex.2025.103735

Shuhan Guo, Tianxiang Shang, Yuzhu Pan, Yingjia Wu, Yan Li, Mohan Zhou

To expedite the early stages of drug development for diseases lacking established target databases, and to enhance knowledge updating in well-studied disease domains, this paper introduces TARGETFLOW, an automated literature-mining pipeline. The workflow begins by automatically retrieving literature, downloading relevant abstracts, and constructing a comprehensive database. After performing selective text cleaning and data preprocessing, it leverages large language models (LLMs) to conduct intelligent literature screening, followed by code-based whitespace tokenization. Subsequently, rule-based filtering is applied to extract high-potential therapeutic targets for the specified disease. To validate the effectiveness of this pipeline, three hypotheses were formulated: (1) An effective pipeline should be capable of identifying high-potential therapeutic targets for the given disease; (2) For diseases with established target databases, the pipeline should be able to detect novel and emerging targets not yet included in existing databases; and (3) The pipeline should also be applicable to rare or emerging diseases that lack mature target databases. Then, rheumatoid arthritis (RA), a common disease, and idiopathic pulmonary fibrosis (IPF), a rare disease, were selected as case studies. The results demonstrated the method’s reliability (high-potential target validation rate: 56 %), innovativeness (new target validation pass rate: 100 %), and generalizability (IPF target literature support rate: 88.9 %).

为了加快缺乏既定目标数据库的疾病的早期药物开发，并加强对已研究的疾病领域的知识更新，本文介绍了TARGETFLOW，一个自动化的文献挖掘管道。工作流程从自动检索文献、下载相关摘要和构建综合数据库开始。在执行选择性文本清理和数据预处理之后，它利用大型语言模型（llm）进行智能文献筛选，然后进行基于代码的空白标记化。随后，应用基于规则的滤波方法提取针对特定疾病的高潜力治疗靶点。为了验证该管道的有效性，提出了三个假设：(1)有效的管道应该能够识别给定疾病的高潜力治疗靶点；(2)对于已建立靶点数据库的疾病，该管道应能够发现尚未纳入现有数据库的新靶点和新兴靶点；(3)管线也应适用于缺乏成熟靶点数据库的罕见或新发疾病。然后，选择常见病类风湿性关节炎（RA）和罕见病特发性肺纤维化（IPF）作为案例研究。结果表明，该方法具有较高的信度（高电位目标验证率为56%）、创新性（新目标验证合格率为100%）和通用性（IPF目标文献支持率为88.9%）。

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引用次数: 0

A remotely operated airboat for metal-free, ultraclean water sampling for trace elements in lentic waterbodies: from design and fabrication to operation in the field 一种远程操作的汽艇，用于在活体水体中进行无金属超净水采样，从设计和制造到现场操作

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-01 DOI: 10.1016/j.mex.2025.103731

Tommy Noernberg , Taylor Bujaczek , William Shotyk

The mitigation of contamination during water sampling remains one of the primary challenges for trace elements research. In shallow water bodies, it is especially important to avoid disturbing the sediments to avoid the introduction of particles and colloids containing trace elements to the water column. Traditional sampling protocols can stir up sediments, and conventional equipment containing metal alloys presents additional sample contamination risks. Here we describe the design, construction, and testing of a metal-free unmanned, remotely operated airboat for sampling lentic freshwater habitats. The SWAMP airboat consists of two pontoons that support a water sampler containing four winches to lower and raise 60 mL bottles to sample from desired depths. The airboat is driven by two motorized propellers and is equipped with Cube Autopilot to stabilize the airboat during sample collection.

• A 3D printer was used to construct plastic components for the airboat, composed of polyethylene terephthalate glycol (PETG), PolyMide™ CoPA nylon, high density polyethylene (HDPE), and polycarbonate (PC) carbon fiber.

• Solenoids were programmed to remotely open and drop weights that open valves on the 60 mL sampling bottle to collect water at specified depths.

• The SWAMP airboat was successfully field-tested at two locations in Alberta, Canada.

减少水采样过程中的污染仍然是微量元素研究的主要挑战之一。在浅水水体中，避免扰动沉积物，避免将含有微量元素的颗粒和胶体引入水柱尤为重要。传统的采样方案可能会搅动沉积物，而传统的含有金属合金的设备会带来额外的样品污染风险。在这里，我们描述了一个无金属的无人驾驶、远程操作的气船的设计、建造和测试，用于采样真实的淡水栖息地。SWAMP汽艇由两个浮筒组成，浮筒支持一个包含四个绞车的水采样器，以降低和提高60毫升的瓶子以从所需的深度取样。气艇由两个电动螺旋桨驱动，并配备Cube自动驾驶仪，以在样品采集过程中稳定气艇。•使用3D打印机构建气艇的塑料部件，由聚对苯二甲酸乙二醇酯（PETG），聚酰胺™CoPA尼龙，高密度聚乙烯（HDPE）和聚碳酸酯（PC）碳纤维组成。•螺线管被编程为远程打开和下降重量，打开60毫升采样瓶上的阀门，以收集指定深度的水。•SWAMP气艇在加拿大阿尔伯塔省的两个地点成功进行了现场测试。

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引用次数: 0

A statistical inference framework for FSNBLR: Modeling underdeveloped regional status in Eastern Indonesia FSNBLR的统计推断框架：模拟印尼东部欠发达地区状况

IF 1.9 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2025-12-01 DOI: 10.1016/j.mex.2025.103746

Muhammad Zulfadhli, I Nyoman Budiantara, Vita Ratnasari, Afiqah Saffa Suriaslan, Risdiana Chandra Dhewy

Persistent regional disparities in Indonesia, particularly in Eastern provinces, necessitate advanced modeling to understand underdevelopment determinants. This study enhances the Fourier Series Nonparametric Binary Logistic Regression (FSNBLR) model by introducing a statistical inference framework comprising simultaneous and partial hypothesis testing using the Likelihood Ratio Test (LRT). Applying the model to data from 232 regencies in Eastern Indonesia (2021) identifies infrastructure quality and local fiscal capacity as significant predictors of underdevelopment. Compared with the conventional Binary Logistic Regression (BLR), the FSNBLR with significant parameters demonstrates superior classification accuracy and lower AIC values, effectively capturing nonlinear relationships among predictors. The proposed framework strengthens the inferential foundation of FSNBLR and broadens its applicability to complex binary response analyses in socioeconomic studies. The highlights of this study are:

Developed inferential hypothesis testing for the FSNBLR model.

Implemented LRT for simultaneous and partial inference.

The FSNBLR model outperforms BLR model in capturing nonlinearities.

印度尼西亚持续存在的地区差异，特别是在东部省份，需要先进的模型来理解不发达的决定因素。本研究通过引入一个统计推断框架，包括使用似然比检验（LRT）的同时和部分假设检验，增强了傅立叶级数非参数二元逻辑回归（FSNBLR）模型。将该模型应用于印度尼西亚东部232个县（2021年）的数据，发现基础设施质量和地方财政能力是不发达的重要预测因素。与传统的二元逻辑回归（BLR）相比，具有显著参数的FSNBLR具有更高的分类精度和更低的AIC值，可以有效地捕捉预测因子之间的非线性关系。该框架加强了FSNBLR的推理基础，拓宽了其在社会经济研究中复杂二元响应分析的适用性。本研究的重点是：建立了FSNBLR模型的推理假设检验。实现LRT同时和部分推理。FSNBLR模型在捕获非线性方面优于BLR模型。

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引用次数: 0