Selective Single-Bacterium Analysis and Motion Tracking Based on Conductive Bulk-Surface Imprinting DOI
Xiaoyan Liu, Maojin Tian, Qianqian Zhu

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Conductive molecular imprinting (MI) shows great potential in enhancing the selectivity of electrochemical bacterial assays, but its efficiency is hindered due to rigid long-conjugated structure and imprecise specific recognition sites. It thus urgent activate surface MI with clear sites toward bacteria develop a single-bacterium monitoring technique for precisely verifying microscopically. Herein, using lipopolysaccharides Escherichia coli (E. coli) cells as bulk templates, respectively, an ideal monomer successfully predicted by density functional theory, high-precision matching prepared. A deep learning-assisted single-bacteria movement trajectory tracking method developed, trained model can effectively recognize track paths velocities both single group bacteria. Accordingly, capture process E. systematically monitored analyzed, opening way establishing multidimensional system characterizing selective polymers. Moreover, as-prepared sensors accomplish rapid, sensitive sensing detection limit 10 CFU/mL 433%-increased selectivity, which could promote development finer-grained techniques smart biosensors.

Язык: Английский

Design of hybrid aptamer-molecularly imprinted polymer nanoparticles for selective binding of oxidized low-density lipoprotein in an ELISA-mimic system DOI
Suticha Chunta,

Soemwit Khongwichit,

Panwadee Wattanasin

и другие.

Talanta, Год журнала: 2025, Номер 287, С. 127605 - 127605

Опубликована: Янв. 19, 2025

Язык: Английский

Процитировано

0
Two-Photon Direct Laser Writing of Capillary-Coupled Nanosprayer Arrays for ESI-MS DOI
Lili Xing,

Daoxue Liu,

Hanui Yu

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Electrospray is a widely recognized physical process and has various applications, such as in electrospinning, space propulsion, mass spectrometry (MS). Particularly, electrospray emitters are integral to the exceptional performance of ionization (ESI-MS). This study introduced novel method for fabricating using two-photon direct laser writing, resulting printing nanosprayer arrays directly onto capillary tips. Utilizing acrylic polyhedral oligomeric silsesquioxane photoresist, multinozzle sprayer with micrometer scale channels was designed printed on that compatible both frontend liquid chromatography typical MS inlets. The 3D-printed sprayers demonstrated resistance organic corrosion high temperatures. For arrays, an increase total current achieved by augmenting number electrosprays, while maintaining constant flow rate voltage. Notably, eight-nozzle exhibited 2.7-fold enhancement sensitivity compared single-nozzle sprayers. approach offers versatile high-sensitivity nanoelectrospray solution ESI-MS.

Язык: Английский

Процитировано

0
Unveiling Molecular Fingerprints of Bacteria on Nanoplasmonic Sensors DOI Creative Commons
Özgecan Erdem, Yeşeren Saylan, Yusuf Aslan

и другие.

ACS Applied Nano Materials, Год журнала: 2025, Номер unknown

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

0
Selective Single-Bacterium Analysis and Motion Tracking Based on Conductive Bulk-Surface Imprinting DOI
Xiaoyan Liu, Maojin Tian, Qianqian Zhu

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Conductive molecular imprinting (MI) shows great potential in enhancing the selectivity of electrochemical bacterial assays, but its efficiency is hindered due to rigid long-conjugated structure and imprecise specific recognition sites. It thus urgent activate surface MI with clear sites toward bacteria develop a single-bacterium monitoring technique for precisely verifying microscopically. Herein, using lipopolysaccharides Escherichia coli (E. coli) cells as bulk templates, respectively, an ideal monomer successfully predicted by density functional theory, high-precision matching prepared. A deep learning-assisted single-bacteria movement trajectory tracking method developed, trained model can effectively recognize track paths velocities both single group bacteria. Accordingly, capture process E. systematically monitored analyzed, opening way establishing multidimensional system characterizing selective polymers. Moreover, as-prepared sensors accomplish rapid, sensitive sensing detection limit 10 CFU/mL 433%-increased selectivity, which could promote development finer-grained techniques smart biosensors.

Язык: Английский

Процитировано

0