7
solid-state ISEs, which mainly depend on: i) the membrane phase that, on the one hand, isolates
the recognition portion of the sensor from the sample and, on the other hand, is responsible for
the establishment of phase boundary potential (interface membrane/sample); ii) the receptor (also
termed the ionophore in potentiometric jargon), which is involved in the selective recognition of the
target; and iii) the transducer, which efficiently converts an ionic current into one that is electronic
without leakage.
The use of conducting polymers [40] and nanomaterials [39, 41] has facilitated excellent
transduction accompanied with a large potential stability and the elimination of an undesired water
layer at the metal/membrane interface. Probably, nanostructured transducers that do not display
sensitivity to light are rather more interesting for environmental applications in which the light
intensity either increase or decrease along the depth.[42] Notably, the more
recent incorporation
of nanostructured materials as transducers constitutes a valuable tool for the fabrication of long-
term durable sensors with huge possibilities regarding substrate-embedding and implementation
within different devices.[43-45] Research focusing on the development of novel solid-state
electrodes is currently highly stimulating and novel, interesting applications appear daily.[42, 46-
51]
In particular, the inherent benefits of the all-solid-state configuration, including the possibility of
miniaturization, easy portability, remote control
and in-line implementation, are highly suitable for
decentralized measurements. In addition, implementation of all-solid-state ISEs into submersible
devices is present relevant to
in situ
environmental water analysis.[21, 24, 32, 52] As an example,
backpressure problems presented by classical ISEs based on an inner-filling solution
implemented into submersible probes are totally suppressed using the all-solid-state
configuration.[53]
Despite the aforesaid features that make ISEs suitable for decentralized measurements, the
critical assessment of key analytical performance indicators (limit of detection, selectivity, stability
and robustness, Figure 2) is crucial to the aim of decentralized natural water analysis. This latter
8
aspect is related to the chemical behaviour of the sensor and its interaction with the complex
environment, and thus limitations must be acknowledged.
The experimental
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