{"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}
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}
{"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}
{"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}
{"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}
{"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}
{"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}