Rice is a major dietary source of inorganic arsenic (iAs),
a highly
toxic arsenical that accumulates in rice and poses health risks to
rice-based populations. However, the availability of detection methods
for iAs in rice grains is limited. In this study, we developed a novel
approach utilizing a natural bacterial biosensor, Escherichia
coli AW3110 (pBB-ArarsR-mCherry), in conjunction with amylase hydrolysis for efficient extraction,
enabling high-throughput and quantitative detection of iAs in rice
grains. The biosensor exhibits high specificity for arsenic and distinguishes
between arsenite [As(III)] and arsenate [As(V)] by modulating the
concentration of PO4
3– in the detection
system. We determined the iAs concentrations in 19 rice grain samples
with varying total As concentrations and compared our method with
the standard technique of microwave digestion coupled with HPLC-ICP-MS.
Both methods exhibited comparable results, without no significant
bias in the concentrations of As(III) and As(V). The whole-cell biosensor
demonstrated excellent reproducibility and a high signal-to-noise
ratio, achieving a limit of detection of 16 μg kg–1 [As(III)] and 29 μg kg–1 [As(V)]. These
values are considerably lower than the maximum allowable level (100
μg kg–1) for infant rice supplements established
by the European Union. Our straightforward sensing strategy presents
a promising tool for detecting iAs in other food samples.