Luxi Peng, Jing Tan, Shengda Wang, Jing Liu, Kunxiao You, Xinglong Peng, Yushan Lin, Yan Yang, Huan Li
{"title":"A well-designed bridge probe with dual functions of recognition and transduction towards a universal LAMP system.","authors":"Luxi Peng, Jing Tan, Shengda Wang, Jing Liu, Kunxiao You, Xinglong Peng, Yushan Lin, Yan Yang, Huan Li","doi":"10.1007/s44211-026-00918-w","DOIUrl":"https://doi.org/10.1007/s44211-026-00918-w","url":null,"abstract":"<p><p>Loop-mediated isothermal amplification (LAMP) is a rapid, sensitive, and equipment-light method, making it well-suited for point-of-care testing. However, conventional LAMP often lacks universality in detecting diverse nucleic acid targets. To address this limitation, we designed a bridge probe with both recognition and transduction functions and introduced it into the LAMP system to establish a universal detection method, termed U-LAMP. This system uses a universal detection component to detect both DNA and miRNA, significantly enhancing universality and eliminating the need for repeated design of detection components, thereby reducing experimental complexity and cost. Experimental results demonstrate that U-LAMP achieves quantitative detection from fM to nM within one hour, with a detection limit at the fM level and a dynamic range covering eight orders of magnitude. Molecular beacon serves as the signal output, effectively suppressing non-specific signals and improving detection accuracy. With its advantages of universality, sensitivity, and ease of operation, U-LAMP has broad application prospects in resource-limited testing settings.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147832713","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":"Estimation of phosphorus and potassium as nutrient components in soil using magnetic-field-assisted laser-induced breakdown spectroscopy.","authors":"Naofumi Ohtsu, Eishi Hashiba, Yoshifumi Kitadate, Atsuto Yoshino, Madoka Tachibana, Mitsuhiro Hirano, Masayuki Uto","doi":"10.1007/s44211-026-00921-1","DOIUrl":"https://doi.org/10.1007/s44211-026-00921-1","url":null,"abstract":"<p><p>Estimating soil nutrient components is a key analytical methodology for creating fertilization maps for agricultural fields. To develop a compact laser-induced breakdown spectroscopy (LIBS) system for fertilizer map creation, this study examined the sensitivity enhancement of phosphorus (P) and potassium (K) in soil by adding magnetic field assistance using Halbach-arrayed neodymium magnets. The LIBS signal intensity was compared with the plant-available content determined by chemical analysis. The addition of a magnetic field (~ 0.5 T) increased the spectral intensity by ~ 1.3 times, owing to densification of the laser-induced plasma. Linearity in the calibration curve of P at 213.6 nm in soil was maintained up to ~ 0.5 wt%, whereas saturation occurred beyond ~ 1 wt%. In contrast, no linearity was observed in the calibration curve of K at 766.5 nm. The LIBS intensity correlated with the plant-available content; however, the magnetic-field-induced sensitivity enhancement contributed little to accuracy improvement. The spatial heterogeneity of actual soil leads to analytical errors, underscoring the importance of soil sample homogenization.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147832693","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":"WebPDF: a browser-based software application for calculating X-ray pair distribution function.","authors":"Hiroki Yamada, Takuto Fukuoka, Kei Watanabe, Seiya Shimono, Yuki Sada, Kengo Nakada, Toshiyuki Matsunaga, Yoshiharu Uchimoto, Koji Ohara","doi":"10.1007/s44211-026-00917-x","DOIUrl":"https://doi.org/10.1007/s44211-026-00917-x","url":null,"abstract":"<p><p>Pair distribution function (PDF) analysis based on X-ray total scattering is a powerful technique for elucidating local and medium-range structure in crystalline, nanocrystalline, and amorphous materials. Several software packages-such as GudrunX, PDFgetX2, and PDFgetX3-along with facility-specific programs developed at synchrotron sites, are widely used for this purpose. However, these tools typically require installation and environment-dependent configuration, which can introduce compatibility issues across operating systems and create conflicts with pre-installed software. To overcome these limitations, we developed a browser-based PDF analysis application implemented using Pyodide and PyScript, allowing it to run entirely in modern web browsers without additional installation. The software provides key functionalities, including Fourier transformation from S(Q) to G(r), calculation of g(r), back-Fourier transformation with cutoff handling, and sequential data processing. Demonstrations on representative samples confirm consistency with established programs. The software supports both synchrotron data and laboratory-based measurements using Ag radiation sources, underscoring its broad applicability. This tool enables environment-independent and consistent analyses, significantly enhancing the accessibility of X-ray total-scattering and PDF techniques.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147809405","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":"Application of a Hopfield neural network to extract essential spectral patterns from ToF-SIMS spectra of peptides.","authors":"Satoka Aoyagi, Hiromi Kato, Shun Shibayama","doi":"10.1007/s44211-026-00916-y","DOIUrl":"https://doi.org/10.1007/s44211-026-00916-y","url":null,"abstract":"<p><p>A recurrent neural network (RNN) system based on a Hopfield neural network (HNN) was developed to extract essential spectral patterns from the time-of-flight secondary ion mass spectrometry (ToF-SIMS) spectra of peptide samples. Because ToF-SIMS produces various fragment ions from organic molecules, the interpretation of ToF-SIMS spectra is generally complicated. ToF-SIMS is useful for peptide analysis because it detects specific amino acid fragment ions from peptides that indicate peptide information. However, the ToF-SIMS spectra also contain fragment ions that do not preserve the main structures of the original molecules, which makes them difficult to interpret. Therefore, it is crucial to extract essential spectral patterns from the ToF-SIMS spectra of organic materials. Peptides were selected as the target organic materials for this study due to their systematic chemical structures. A modified HNN was trained on the ToF-SIMS spectra of each peptide, and the trained HNNs were then used to recall patterns for various peptide ToF-SIMS spectra. The results show that the modified HNN recall essential spectra containing specific ions, including the protonated molecular ions and amino acid fragment ions of target peptides. Furthermore, the HNN results revealed differences and similarities between peptides with similar and different amino acid sequences. Thus, this study demonstrates the effectiveness of the HNN in interpreting complex spectra and its potential for preprocessing data for further analysis.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760112","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":"Robust machine learning and ensemble learning approach to predict variation in experimental data for multiple measurements and anomalies.","authors":"Yuta Sakai, Motosuke Katayama, Hiromasa Kaneko","doi":"10.1007/s44211-026-00919-9","DOIUrl":"https://doi.org/10.1007/s44211-026-00919-9","url":null,"abstract":"<p><p>In the field of chemistry, machine learning is widely used to develop desired properties and activities y of compounds and products from experimental conditions x. As y is measured several times, a mathematical model is constructed with y as the average value of these measurements, which cannot evaluate the variability of y. Therefore, a method was proposed to predict the variability of y by creating N sub-datasets with selected y values for each sample and constructing multiple models. However, this method reduces prediction accuracy when there are abnormal values due to measurement errors. To address these issues, we proposed a robust method that constructs multiple sub-datasets and selects only the models with the lowest mean absolute error for predictions. Validation on a film thickness and haze (light scattering intensity) dataset showed that the proposed method outperformed conventional approaches, including those that remove anomalies in advance, in predicting both the mean and variation of y. The proposed method could improve accuracy in datasets with multiple values of y and containing abnormal values without removing samples.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760110","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":"Research on peak shift probability method based on laser-induced plasma spectroscopy.","authors":"Yizhe Luo, Chang Liu, Jinshan Huang, Qiguo Xiao, Hongliang Li, Hui Yang, Jian Shan","doi":"10.1007/s44211-026-00915-z","DOIUrl":"https://doi.org/10.1007/s44211-026-00915-z","url":null,"abstract":"<p><p>The rapid and reliable in-situ detection of trace elements relevant to nuclear materials and metal elements in environmental matrices is a major challenge in the fields of environmental monitoring, nuclear safety, and resource assessment. Element identification in Laser-induced Plasma Spectroscopy (LIPS, synonymous with Laser-induced Breakdown Spectroscopy or LIBS) can be achieved by analyzing the corresponding peak information emitted by the plasma. However, due to differences in spectral databases (e.g., wavelength shift), making quick judgments remains challenging. To tackle this issue, we developed a novel data analysis strategy that explicitly accounts for spectral peak shifts. This method was evaluated using both the Akaike and Bayesian Information Criteria (AIC/ BIC) and correlation coefficients to enhance the reliability of LIPS for aerosol analysis. This approach statistically models inevitable spectral peak shifts to establish a probabilistic identification framework, offering clear evaluative criteria for detecting key elements in complex environmental samples. Experimental results demonstrate that this method substantially lowers misidentification risks and offers a robust analytical tool for field deployment and real-time environmental screening.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760056","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}
Shunsuke Chida, Kazuki Takahashi, Mao Fukuyama, Motohiro Kasuya, Ayuko Imai, Anatoly V Zherdev, Sergei A Eremin, Masatoshi Maeki, Akihiko Ishida, Hirofumi Tani, Koji Shigemura, Akihide Hibara, Manabu Tokeshi
{"title":"Determination of okadaic acid in scallop using microfluidic-based fluorescence polarization immunoassay.","authors":"Shunsuke Chida, Kazuki Takahashi, Mao Fukuyama, Motohiro Kasuya, Ayuko Imai, Anatoly V Zherdev, Sergei A Eremin, Masatoshi Maeki, Akihiko Ishida, Hirofumi Tani, Koji Shigemura, Akihide Hibara, Manabu Tokeshi","doi":"10.1007/s44211-026-00897-y","DOIUrl":"https://doi.org/10.1007/s44211-026-00897-y","url":null,"abstract":"<p><p>A microfluidic device-based fluorescence polarization immunoassay (FPIA) enabling rapid assay completion within 20-25 min was developed for the rapid screening of okadaic acid (OA) in shellfish. A fluorescent tracer was synthesized by conjugating OA to a fluorescent dye, and two anti-OA monoclonal antibodies (7E1 and 9G3) were evaluated to optimize assay performance. Binding activity tests revealed that the 9G3 antibody exhibited a lower dissociation constant and superior assay performance. Calibration curves were constructed, and the dynamic range and sensitivity of the assay were investigated, with particular emphasis on OA concentrations around the regulatory limit (0.16 mg/kg). The applicability of the developed FPIA to real samples was assessed through spike-recovery tests using scallop extracts. Although a slight decrease in sensitivity was observed due to the presence of methanol in the extracts, OA concentrations near the regulatory threshold could be reliably discriminated. These results demonstrate that the developed microfluidic FPIA provides a rapid and simple screening approach for determining whether OA concentrations in shellfish exceed established regulatory limits, thereby supporting routine monitoring and on-site analysis.</p>","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760142","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":"Determination of water in organic solvents by ligand-exchange reaction of Tris(2-methyl-8-quinolinolato)indium(III) complex.","authors":"Nanami Watanabe, Nobuo Uehara, Arinori Inagawa","doi":"10.1007/s44211-026-00911-3","DOIUrl":"https://doi.org/10.1007/s44211-026-00911-3","url":null,"abstract":"","PeriodicalId":7802,"journal":{"name":"Analytical Sciences","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728151","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}