Cited by 16S rRNA gene sequencing for bacterial identification and infectious disease diagnosis

A review on scalable printing techniques for conductive and composite polymer nanoinks DOI

V. Bharath,

K. R. V. Subramanian

Advances in Natural Sciences Nanoscience and Nanotechnology, Journal Year: 2025, Volume and Issue: 16(1), P. 013002 - 013002

Published: Jan. 13, 2025

Abstract Emerging research in conductive and composite polymer nanoinks (CCPNIs) demonstrate remarkable advantages electrical, thermal, mechanical properties which are highly desired for printable applications. The development of suitable scalable production techniques can address the demand wearable, printable, flexible nanoink-based electronic In this review we present a comparative analysis contact based such as screen printing (SP), nano imprint lithography (NIL) non-contact inkjet (IJP), aerosol jet (AIP) 3D with focus on CCPNIs. We discuss application these across various domains wearable electronics, sensors robotics rely technologies. Among reviewed, SP stands out particularly sustainable, primarily due to its scalability efficiency. It is capable producing between 1,000 5,000 parts per hour, while maintaining practical resolution range 1000 μm (±5–10%). applications printed where cost-effectiveness, simplicity, focus. contrast, complex multidimensional printing, shows promise an excellent crucial industrial-scaled production.

Language: Английский

Citations

Next-generation health monitoring: The role of nanomaterials in 3D-printed wearable devices DOI

Chuchu Chen,

Yonghao Fu,

Yun Liu

et al.

Materials Today, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

A detailed analysis of 16S rRNA gene sequencing and conventional PCR-based testing for the diagnosis of bacterial pathogens and discovery of novel bacteria DOI

Meina Li, Ting Wang,

Nan Wang

et al.

Antonie van Leeuwenhoek, Journal Year: 2024, Volume and Issue: 117(1)

Published: July 16, 2024

Language: Английский

Citations

16S rRNA gene sequencing for bacterial identification and infectious disease diagnosis DOI

Meina Li,

Qiang Han,

Nan Wang

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract 16S rRNA gene sequence is the most common housekeeping genetic marker to study bacterial phylogeny and taxonomy. Therefore, sequencing has potential identify novel bacteria diagnose bacteria. This compared with conventional PCR for identification disease diagnosis. The community in healthy diseased hosts was analyzed by sequencing. more sensitive than detecting Moreover, adequate demonstrated that pathogenic persist or different abundance. Pathogenic bacteria, such as well-known chicken pathogen Avibacterium paragallinarum , Ornithobacterium rhinotracheale Gallibacterium anatis were identified indicator species of samples. Alpha diversity analysis showed group significantly higher groups. Beta also differences between infected concluded a method pathogens, microbiota can distinguish Eventually, represented human animal clinical diagnosis identification.

Language: Английский

Citations

A detailed analysis of 16S rRNA gene sequencing and conventional PCR-based testing for the diagnosis of bacterial pathogens and discovery of novel bacteria DOI

Meina Li, Ting Wang,

Nan Wang

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 27, 2024

Abstract This study represents the first analysis of bacterial community in chickens affected by swollen head syndrome, utilizing 16S rRNA gene sequencing. Samples were obtained from clinical laying and examined for presence Avibacterium paragallinarum (APG) Ornithobacterium rhinotracheale (ORT) using conventional polymerase chain reaction (PCR). From samples, five APG-positive APG-negative (N-APG) samples chosen, along with specific pathogen-free chickens, Results showed that APG ORT widely detected chicken syndrome (SHS, 9/10), while was all (SPF) samples. In contrast, PCR sensitivity found to be inadequate diagnosis, only 35.7% (5/14) 11.1% (1/9) ORT, respectively, based on sequencing data. Furthermore, able quantify bacteria revealing relative abundance group ranged 2.7% 81.3%, N-APG 0.1% 21.0%. Notably, a low level also 5 SPF The identified significant number animal human common pathogens, including but not limited Gallibacterium anatis , Riemerella columbina Enterococcus cecorum, Mycoplasma synoviae Helicobacter hepaticus Staphylococcus lentus . conclusion, is valuable tool pathogen diagnosis discovery novel reliable diagnosis.

Language: Английский

Citations

16S rRNA gene sequencing for bacterial identification and infectious disease diagnosis DOI

Meina Li,

Qiang Han,

Nan Wang

et al.

Biochemical and Biophysical Research Communications, Journal Year: 2024, Volume and Issue: 739, P. 150974 - 150974

Published: Nov. 13, 2024

Language: Английский

Citations