We have developed an in situ methodology for determining nitrite concentration in processed meats that can also be used by unskilled personnel. It is based on a colorimetric filmshaped sensory polymer that changes its color upon contacting the meat and a mobile app that automatically calculates the manufacturing and residual nitrite concentration by only taking digital photographs of sensory films and analyzing digital color parameters. The film-shaped polymer sensor detects nitrite anions by an azo-coupling reaction, since they activate this reaction between two of the four monomers that the copolymer is based on. The sensory polymer is complemented with an app, which analyzes the color in two different digital color spaces (RGB and HSV) and performs a set of 32 data fittings representing the concentration of nitrite versus eight different variables, finally providing the nitrite concentration of the test samples using the best fitting curve. The calculated concentration of nitrite correlates with a validated method (ISO 2918(ISO : 1975 usually used to determine nitrite, and no statistically significant difference between these methods and our proposed one has been found in our study (26 meat samples, 8 prepared, and 18 commercial). Our method represents a great advance in terms of analysis time, simplicity, and orientation to use by average citizens.
The synthesis and
preparation of 12 chromogenic polymers used to
build an intelligent label for security paper applications are described.
The process involves coating paper sheets with the polymers. Depending
on the number of different polymers used in a combinatory way, a maximum
of 12
12
combinations is possible, thus creating a matrix
that is practically impossible to counterfeit. Currently, most anticounterfeiting
proposals for paper-based packaging and documents involve some sort
of verification under ultraviolet radiation, and the requirement of
additional equipment often relegates the end-user to a passive role.
In contrast, in our approach, the combination of sensory polymers
in an array gives rise to an invisible label, i.e., an owner cryptographic
key, which becomes visible upon scattering a nitrite solution (e.g.,
spraying or using an impregnated foam roller) over the printed label
on the security paper. For this purpose, a monomer containing an aromatic
primary amino group and another with an activated aromatic ring are
covalently bonded to a polymer with high affinity toward paper, consisting
essentially of units of methyl methacrylate and 1-vinyl-2-pyrrolidone.
Subsequently, the paper samples are coated with the resulting sensory
chromogenic polymer. By spraying, painting, or staining an aqueous
acid solution of NaNO
2
(at least 1.20 g/L) and the chromogenic
polymers, a well-defined color appears, because of the formation of
an azo compound. This process provides users with a quick and facile
authentication method without additional equipment and without affecting
paper strength.
We anchored a colourimetric probe, comprising a complex containing copper (Cu(II)) and a dye, to a polymer matrix obtaining film-shaped chemosensors with induced selectivity toward glycine. This sensory material is exploited in the selectivity detection of glycine in complex mixtures of amino acids mimicking elastin, collagen and epidermis, and also in following the protease activity in a beefsteak and chronic human wounds. We use the term inducing because the probe in solution is not selective toward any amino acid and we get selectivity toward glycine using the solid-state. Overall, we found that the chemical behaviour of a chemical probe can be entirely changed by changing its chemical environment. Regarding its behaviour in solution, this change has been achieved by isolating the probe by anchoring the motifs in a polymer matrix, in an amorphous state, avoiding the interaction of one sensory motif with another. Moreover, this selectivity change can be further tuned because of the effectiveness of the transport of targets both by the physical nature of the interface of the polymer matrix/solution, where the target chemicals are dissolved, for instance, and inside the matrix where the recognition takes place. The interest in chronic human wounds is related to the fact that our methods are rapid and inexpensive, and also considering that the protease activity can correlate with the evolution of chronic wounds.
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