Local microenvironment pH sensing is one of the key parameters for the understanding of many biological processes. As a noninvasive and high sensitive technique, surface-enhanced Raman spectroscopy (SERS) has attracted considerable interest in the detection of the local pH of live cells. We herein develop a facile way to prepare Au-(4-MPy)-BSA (AMB) pH nanosensor. The 4-MPy (4-mercaptopyridine) was used as the pH sensing molecule. The modification of the nanoparticles with BSA not only provides a high sensitive response to pH changes ranging from pH 4.0 to 9.0 but also exhibits a high sensitivity and good biocompatibility, stability, and reliability in various solutions (including the solutions of high ionic strength or with complex composition such as the cell culture medium), both in the aggregation state or after long-term storage. The AMB pH nanosensor shows great advantages for reliable intracellular pH analysis and has been successfully used to monitor the pH distribution of live cells and can address the grand challenges in SERS-based pH sensing for practical biological applications.
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http://dx.doi.org/10.1021/ac503404u | DOI Listing |
STAR Protoc
January 2025
School of Public Health, Chongqing Medical University, Chongqing 400016, China; Chongqing Miankai Biotechnology Research Institute Co., Ltd., Chongqing 400025, China. Electronic address:
The recombinase polymerase amplification (RPA)-CRISPR-Cas12a-FQ system enables sensitive detection of environmental DNA (eDNA) in rare fish species. Here, we present a protocol for eDNA amplification and Cas12a for target recognition using RPA. We describe steps for identifying a target site, synthesis and purification of CRISPR RNA (crRNA), and RPA isothermal amplification.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, 310012, China.
In the present study, we identified 22 significant SNPs, eight stable QTLs and 17 potential candidate genes associated with 100-seed weight in soybean. Soybean is an economically important crop that is rich in seed oil and protein. The 100-seed weight (HSW) is a crucial yield contributing trait.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
January 2025
Department Medical Laboratory Technology, College of Medical Technology, University of Al-Farahidi, Baghdad, Iraq.
Pseudomonas aeruginosa is a key concern in clinical settings due to its high level of resistance to antibiotics, making infections given rise to this bacterium very problematic to treat. The rise of multidrug-resistant bacteria poses a danger to treatments and stresses the necessity to find new antimicrobial drugs. In a neoteric study, P.
View Article and Find Full Text PDFRapid Commun Mass Spectrom
March 2025
Chemical Sciences Division, National Institute of Standards and Technology, Charleston, South Carolina, USA.
Rationale: Wildlife scientists are quantifying steroid hormones in a growing number of tissues and employing novel methods that must undergo validation before application. This study tested the accuracy and precision of liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods for use on blubber samples from short-finned pilot whales (Globicephala macrorhynchus). We expanded upon a method for corticosteroid quantification by adding analytes and optimizing internal standard (IS) application.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Sub-Institute of Public Safety Standardization, China National Institute of Standardization, No.4 Zhichun Road, Haidian District, Beijing, 100191, PR China.
Background: This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results based on the patient's personal situation; and (3) identify key surgical points and propose surgical protocols to decrease complications.
Methods: Relevant articles were searched to identify risk factors. Clinical knowledge and experience were used to analyse the risk factors to establish the Bayesian network.
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