Analytical Sciences最新文献

筛选
英文 中文
Sensitive determination and discrimination of fluorinated ions using ion-transfer voltammetry. 用离子转移伏安法灵敏地测定和鉴别含氟离子。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-17 DOI: 10.1007/s44211-026-00912-2
Kohei Uematsu, Kento Tamiya, Yuki Nara, Minato Tanaka, Hajime Katano
{"title":"Sensitive determination and discrimination of fluorinated ions using ion-transfer voltammetry.","authors":"Kohei Uematsu, Kento Tamiya, Yuki Nara, Minato Tanaka, Hajime Katano","doi":"10.1007/s44211-026-00912-2","DOIUrl":"https://doi.org/10.1007/s44211-026-00912-2","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147715600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantification of glyphosate and glufosinate in human blood using the aqueous layer recovered from QuEChERS extraction. 利用QuEChERS提取液回收的水层定量测定人体血液中的草甘膦和草铵膦。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-16 DOI: 10.1007/s44211-026-00913-1
Naoki Tachiiri, Kiyotaka Usui, Sohtaro Mimasaka
{"title":"Quantification of glyphosate and glufosinate in human blood using the aqueous layer recovered from QuEChERS extraction.","authors":"Naoki Tachiiri, Kiyotaka Usui, Sohtaro Mimasaka","doi":"10.1007/s44211-026-00913-1","DOIUrl":"https://doi.org/10.1007/s44211-026-00913-1","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dual electrochemical sensor based on graphene aerogel for quantification of ascorbic acid in pharmaceutical samples and uric acid in urine. 基于石墨烯气凝胶的双电化学传感器用于定量药物样品中的抗坏血酸和尿液中的尿酸。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-15 DOI: 10.1007/s44211-026-00896-z
Alejandro Gutiérrez, Mario Sánchez-Suárez, Natalia Rey-Raap, Ana Arenillas, Janet Ledesma-García, Luis Gerardo Arriaga
{"title":"Dual electrochemical sensor based on graphene aerogel for quantification of ascorbic acid in pharmaceutical samples and uric acid in urine.","authors":"Alejandro Gutiérrez, Mario Sánchez-Suárez, Natalia Rey-Raap, Ana Arenillas, Janet Ledesma-García, Luis Gerardo Arriaga","doi":"10.1007/s44211-026-00896-z","DOIUrl":"https://doi.org/10.1007/s44211-026-00896-z","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147687625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dual-color image analysis for quantifying fluorescence intensity in plasma membrane region of cells. 定量细胞质膜区荧光强度的双色图像分析。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-14 DOI: 10.1007/s44211-026-00908-y
Satoshi Fujii, Keita Takaki, Shinji Sueda
{"title":"Dual-color image analysis for quantifying fluorescence intensity in plasma membrane region of cells.","authors":"Satoshi Fujii, Keita Takaki, Shinji Sueda","doi":"10.1007/s44211-026-00908-y","DOIUrl":"https://doi.org/10.1007/s44211-026-00908-y","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147669892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Construction of a multi-label odor prediction model based on molecular structures and olfactory receptor binding profiles with a novel interpretability framework. 基于分子结构和嗅觉受体结合谱的多标签气味预测模型的构建及新的可解释性框架。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-13 DOI: 10.1007/s44211-026-00900-6
Yuta Wakutsu, Hiromasa Kaneko
{"title":"Construction of a multi-label odor prediction model based on molecular structures and olfactory receptor binding profiles with a novel interpretability framework.","authors":"Yuta Wakutsu, Hiromasa Kaneko","doi":"10.1007/s44211-026-00900-6","DOIUrl":"https://doi.org/10.1007/s44211-026-00900-6","url":null,"abstract":"<p><p>Predicting odors from molecular structures is a long-standing challenge in chemoinformatics, especially in cases where structurally similar compounds, such as optical isomers, exhibit distinct odor perceptions. To address this, we developed a multi-stage odor prediction framework that integrates both molecular structures and olfactory receptor (OR) binding information. Recognizing that human olfaction is mediated by complex receptor-ligand interactions, we divided the process into three mechanistic stages: (1) prediction of molecular binding to ORs (classification), (2) estimation of binding strength (regression), and (3) prediction of odor presence based on receptor responses (classification). We further introduced a novel interpretability metric, Positive likeness, which estimates the contribution of specific receptors to the likelihood of each odor label. Using this framework, we demonstrated the ability to distinguish odor differences between optical isomers and to identify ORs that are potentially responsible for the perception of specific odor attributes. The model also enabled extrapolative odor prediction for molecules with unknown odor annotations, leveraging receptor information and label propagation. Our results highlight the importance of receptor-level descriptors in enhancing predictive performance and biological interpretability. This study provides a foundation for receptor-guided odor modeling and supports applications in fragrance design and sensory informatics.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147669772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction: Mesoporous polydopamine microspheres for rapid ppb-level ultra-sensitive formaldehyde detection. 校正:用于快速ppb级超灵敏甲醛检测的介孔聚多巴胺微球。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-10 DOI: 10.1007/s44211-026-00909-x
Luyu Wang, Jia Song, Chunyang Yu
{"title":"Correction: Mesoporous polydopamine microspheres for rapid ppb-level ultra-sensitive formaldehyde detection.","authors":"Luyu Wang, Jia Song, Chunyang Yu","doi":"10.1007/s44211-026-00909-x","DOIUrl":"10.1007/s44211-026-00909-x","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147643746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of a green ammonia production process by machine learning. 基于机器学习的绿色氨生产工艺设计。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-06 DOI: 10.1007/s44211-026-00903-3
Sho Takaoka, Hiromasa Kaneko
{"title":"Design of a green ammonia production process by machine learning.","authors":"Sho Takaoka, Hiromasa Kaneko","doi":"10.1007/s44211-026-00903-3","DOIUrl":"https://doi.org/10.1007/s44211-026-00903-3","url":null,"abstract":"<p><p>Green ammonia is attracting attention as a way of realizing a decarbonized society. In this study, we designed a green ammonia production process under limited power supply. In conventional process optimization, candidates for the design variables are selected based on the experience of the process engineer and calculation results, and optimization is performed by repeated simulations. However, as the number of design variables increases, an enormous number of simulations are required to search for optimal candidates. In this study, we used Bayesian optimization to select candidates for the design variables with a high probability of achieving the target values of the objective variables. Candidate selection and simulation were repeated to maximize green ammonia production with limited power supply. The process was compared with previously reported green ammonia production processes, which showed that the process designed in this study produced the maximum amount of green ammonia at ≤ 10 MW.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147621620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep autoencoder for low dimensionality for high dimensional data in regression models and direct inverse analysis of models. 深度自编码器用于低维数据的高维回归模型和直接逆分析模型。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-06 DOI: 10.1007/s44211-026-00904-2
Hiromasa Kaneko
{"title":"Deep autoencoder for low dimensionality for high dimensional data in regression models and direct inverse analysis of models.","authors":"Hiromasa Kaneko","doi":"10.1007/s44211-026-00904-2","DOIUrl":"https://doi.org/10.1007/s44211-026-00904-2","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147621559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Simultaneous detection of SARS-CoV-2 proteins and nucleic acids by coupling PNIPAM with circle-to-circle amplification. PNIPAM与圈对圈扩增耦合同时检测SARS-CoV-2蛋白和核酸
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-06 DOI: 10.1007/s44211-026-00905-1
Yu Feng, Jiaxin Liu, Kebing Yi, Ziwen Tang, Feng Gong, Yimiao He, Xiaoyun Shan, Hui Xu, Fuxiang Zhou, Xinghu Ji, Zhike He
{"title":"Simultaneous detection of SARS-CoV-2 proteins and nucleic acids by coupling PNIPAM with circle-to-circle amplification.","authors":"Yu Feng, Jiaxin Liu, Kebing Yi, Ziwen Tang, Feng Gong, Yimiao He, Xiaoyun Shan, Hui Xu, Fuxiang Zhou, Xinghu Ji, Zhike He","doi":"10.1007/s44211-026-00905-1","DOIUrl":"https://doi.org/10.1007/s44211-026-00905-1","url":null,"abstract":"<p><p>In the past few years, the global uncontrollable spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has underscored the need for rapid, sensitive, and accurate detection methods. Given the continuous mutation characteristics of viruses, single-target detection carries the risk of false-positive or false-negative results, whereas dual-target detection can effectively mitigate such risks. Therefore, thermosensitive polymer poly(N-isopropylacrylamide) (PNIPAM) was integrated with an isothermal amplification method-circle-to-circle amplification (C2CA) in this study, enabling individual and simultaneous detection of the SARS-CoV-2 S1 protein and N gene, respectively. PNIPAM-capture probe conjugates enabled specific target recognition and thermal separation from complex matrices, while C2CA achieved exponential signal amplification by leveraging two cascaded rolling circle amplification (RCA) reactions. During single-target detection, the method exhibited linear ranges of 0.1-1000 pg/mL for S1 protein detection and 0.1-1000 pM for Ng detection, with the limit of detection (LOD) of 55 fg/mL and 11.2 fM, respectively. The spiked recovery experiment demonstrated that this method possesses high specificity and robust anti-interference capability. Furthermore, in order to improve the accuracy and efficiency, simultaneous detection was achieved by integrating S1 protein and Ng detection into a single reaction system and labeling differential fluorophores. The LOD was 68.3 fg/mL for S1 protein and 33.1 fM for Ng, respectively. This method combines the advantages of homogeneous reaction and isothermal amplification, eliminating the need for complex instruments and cumbersome procedures, thereby making it suitable for resource-limited settings.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147621638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a micro separation and analysis system for uranyl ions composed of microplug extraction and liquid scintillation detection. 由微塞萃取和液体闪烁检测组成的铀酰离子微分离分析系统的研制。
IF 2 4区 化学
Analytical Sciences Pub Date : 2026-04-06 DOI: 10.1007/s44211-026-00887-0
Xinyi Qian, Naoki Shitara, Naokazu Idota, Takehiko Tsukahara
{"title":"Development of a micro separation and analysis system for uranyl ions composed of microplug extraction and liquid scintillation detection.","authors":"Xinyi Qian, Naoki Shitara, Naokazu Idota, Takehiko Tsukahara","doi":"10.1007/s44211-026-00887-0","DOIUrl":"https://doi.org/10.1007/s44211-026-00887-0","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147621602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书