Evaluating Nanoparticle Sensor Design for Intracellular pH Measurements

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Documents

DOI

View graph of relations

Particle-based nanosensors have over the last decade been designed for optical fluorescent-based ratiometric measurements of pH in living cells. However, quantitative and time-resolved intracellular measurements of pH in endosomes and lysosomes using particle nanosensors is challenging and there is a need to improve measurement methodology. In the present paper, we have successfully carried out time resolved pH measurements in endosomes and lyosomes in living cells using nanoparticle sensors and show the importance of sensor choice for successful quantification. We have studied two nanoparticle-based sensor systems that are internalized by endocytosis, and elucidated important factors in nanosensor design that should be considered in future development of new sensors. From our experiments it is clear that it is highly important to use sensors that have a broad measurement range, as erroneous quantification of pH is an unfortunate result when measuring pH too close to the limit of the sensitive range of the sensors. Triple-labeled nanosensors with a pH measurement range of 3.2-7.0, which was synthesized by adding two pH-sensitive fluorophores with different pKa to each sensor, seem to be a solution to some of the earlier problems found when measuring pH in the endosome-lysosome pathway.
Original languageEnglish
JournalA C S Nano
Publication date2011
Volume5
Pages5864-5873
ISSN1936-0851
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 55

Keywords

  • Endosome, Nanosensors, Intracellular, pH measurements, Lysosome, Nanoparticles, Fluorescence microscopy
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

Download statistics

No data available

ID: 6296071