Related Experiment Video
Updated: May 9, 2025

Fluorescent Nanoparticles for the Measurement of Ion Concentration in Biological Systems
Published on: July 4, 2011
Commercial reagents-based six-mode sensor: One-step detection of iodide ions without enzymes or nanomaterials
Mingyue Luo1, Xin Xue2, Kehui Zhang3
1Key Laboratory of Water Security and Water Environment Protection in Plateau Intersection (NWNU), Ministry of Education, College of Chemistry & Chemical Engineering, Northwest Normal University, Lanzhou, 730070, China.
Abstract:
Multi-signal sensors possess immense potential for point-of-care testing, yet their widespread adoption is hindered by reliance on complex nanomaterial synthesis or fragile enzymatic systems. Herein, we propose a "six-in-one" multi-mode sensor for rapid iodide ion (I-) detection, leveraging only three commercially available reagents: chloroplatinic acid (H2PtCl6), hexadecyl trimethylammonium bromide (CTAB), and 3,3',5,5'-tetramethylbenzidine (TMB). The core innovation lies in a dynamic "on-off-on" oxidation triggered by target I- ions as follows: H2PtCl6 with strong oxidative capacity directly oxidizes TMB to its two-electron product (TMB2+) ("On" State). CTAB coordinates with H2PtCl6 thereby blocking its surface and completely inhibiting TMB oxidation ("Off" State). I- selectively displaces CTAB via competitive coordination, partially restoring H2PtCl6's oxidation activity to generate the one-electron product (TMBox) ("Reactivation" State). Remarkably, the resulting TMBox exhibits six distinct signal outputs including visual and fluorescent color, absorbance, fluorescence, temperature, and electrical current. Compared to conventional single- or dual-mode methods, our six-mode approach improves reliability of detection results. This "magic cube" signals enables dual-mode qualitative analysis and four-mode quantitative detection, achieving a nanomolar-level detection limit for I- detection. Critically, multi-mode sensor operates via one-step mixing without requiring nanomaterials, enzymes, or specialized equipment. We further demonstrate its utility in detecting I- in biological (urine, serum), food (iodized salt) and environmental (Yellow River water, tap water) samples with recovery rates of 96.3 %-110.0 %. Statistical analysis demonstrated excellent reproducibility with relative standard deviations <3.1 % across repeated measurements. This work redefines the paradigm of multi-mode sensing, offering a cost-effective, field-deployable solution for environmental monitoring and clinical diagnostics.

