Abstract Labile low-molecular-mass (LMM) transition metal complexes play essential roles in metal ion trafficking, regulation, and signalling in biological systems, yet their chemical identities remain largely unknown due to their rapid ligand-exchange rates and weak M–L bonds. Here, an Escherichia coli cytosol isolation procedure was developed that was devoid of detergents, strongly coordinating buffers, and EDTA. The interaction of the metal ions from these complexes with a SEC column was minimized by pre-loading the column with 67 ZnSO 4 and then monitoring 66 Zn and other metals by inductively coupled plasma mass spectrometry (ICP-MS) when investigating cytosolic ultrafiltration flow-through-solutions (FTSs). Endogenous cytosolic salts suppressed ESI-MS signals, making the detection of metal complexes difficult. FTSs contained ca. 80 µM Fe, 15 µM Ni, 13 µM Zn, 10 µM Cu, and 1.4 µM Mn (after correcting for dilution during cytosol isolation). FTSs exhibited 2–5 Fe, at least 2 Ni, 2–5 Zn, 2–4 Cu, and at least 2 Mn species with apparent masses between 300 and 5000 Da. Fe(ATP), Fe(GSH), and Zn(GSH) standards were passed through the column to assess their presence in FTS. Major LMM sulfur- and phosphorus-containing species were identified. These included reduced and oxidized glutathione, methionine, cysteine, orthophosphate, and common mono- and di-nucleotides such as ATP,more »
Enzymatic reaction-based nanopore detection of zinc ions
We report a label-free nanopore sensor for the detection of Zn 2+ ions. By taking advantage of the cleavage of a substrate peptide by zinc-dependent enzymes, nanomolar concentrations of Zn 2+ ions could be detected within minutes. Furthermore, structurally similar transition metals such as Ni 2+ , Co 2+ , Hg 2+ , Cu 2+ , and Cd 2+ did not interfere with their detection. The enzymatic reaction-based nanopore sensing strategy developed in this work may find potential applications in environmental monitoring and medical diagnosis.
- Award ID(s):
- 1708596
- Publication Date:
- NSF-PAR ID:
- 10160772
- Journal Name:
- The Analyst
- Volume:
- 144
- Issue:
- 24
- Page Range or eLocation-ID:
- 7432 to 7436
- ISSN:
- 0003-2654
- Sponsoring Org:
- National Science Foundation
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