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Heavy Metal Index

ADA/VBB colorimetric method for cadmium detection in rice, milk, and vegetables with real sample measurements

A colorimetric method using amino-1,8-naphthalenediamine (ADA) and Victoria Blue B (VBB) reagents was developed for cadmium detection and applied to actual food samples including rice, milk, and vegetables, reporting real Cd concentrations.

Overview

A colorimetric method using amino-1,8-naphthalenediamine (ADA) and Victoria Blue B (VBB) reagents was developed for cadmium detection and applied to actual food samples including rice, milk, and vegetables, reporting real Cd concentrations. This makes the paper a food occurrence study as well as an analytical methods paper. Confirm specific concentration values and sample numbers from the full paper.

Key numbers

  • Cd concentrations in rice, milk, and vegetables: see full paper for specific values.
  • LOD, linear range, and recovery data in full paper.
  • Sample provenance not confirmed at classification stage; see full paper for geographic details.

Methods (brief)

Colorimetric detection using ADA/VBB dye-based reaction. Method compared against standard ICP methods for validation. Measures total dissolved Cd after digestion; not speciated. Real food samples tested rather than spike-recovery only.

Implications

Certification: Contains real Cd occurrence data in rice, milk, and vegetables. Data should be evaluated against ICP reference values reported in the same study for accuracy assessment. Courses: Demonstrates low-cost colorimetric approaches for food Cd monitoring applicable to resource-limited settings. App: Potential Cd occurrence data contribution to rice, milk, and vegetable contamination profiles pending confirmation of specific values and ICP validation correlation.

Update history

No substantive edit history is available in this build. The full commit record is available in git.