Evidence map›Paper›PMID 35920941›Full record

ArticleMikrochimica acta2022

An origami paper-based electrochemical biosensing platform for quality control of agri-food waste in the valorization strategy.

Noemi Colozza, Erika Di Meo, Angelica Mucaria, Danila Moscone, Fabiana Arduini

Open access · hybridAbstract read
In one paragraph

Article in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 12 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Noemi ColozzaDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133, Rome, Italy.
Erika Di MeoDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133, Rome, Italy.
Angelica MucariaDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133, Rome, Italy.
Danila MosconeDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133, Rome, Italy.
Fabiana ArduiniDepartment of Chemical Science and Technologies, University of Rome "Tor Vergata", Via della Ricerca Scientifica, 00133, Rome, Italy. fabiana.arduini@uniroma2.it.ORCID http://orcid.org/0000-0001-8990-6922
University of Rome Tor Vergata · IT

Funding

MIUR 2015FFY97L
6 · The paper itself

Abstract

The increasing demand for food and the need for a sustainability vision in the agri-food sector have boosted novel approaches for food management, enhancing the valorization of wastes and by-products belonging to the food industry. Herein, we present a novel paper-based origami device to assess the amount of both glucosinolate and glucose in a food waste product belonging to Brassicaceae plants, to evaluate the quality value and the correct management of waste samples. The device has been designed as an origami paper-based platform constituted of two paper-based biosensors to work synergistically in a multiplexed detection. In detail, a monoenzymatic biosensor and a bienzymatic biosensor were configured for the detection of glucose and glucosinolates, respectively, using filter paper pads preloaded with glucose oxidase and/or myrosinase. To complete the paper-based platform, the enzyme-preloaded pads were combined with office paper-based electrodes modified with Carbon black/Prussian Blue nanoparticles for the measurement of enzymatic by-product at a low applied potential (i.e., 0 V versus Ag/AgCl). Overall, this paper-based platform measured glucose and glucosinolate (i.e., sinigrin) with a linear range up to 2.5 and 1.5 mM, and detection limits of 0.05 and 0.07 mM, respectively. The repeatability corresponded to an RSD% equal to 5% by testing 10 mM of glucose, and 10% by testing 1 mM of sinigrin. The accuracy of the developed multiplex device was evaluated by recovery studies at two different levels of sinigrin, i.e., 0.25 and 0.5 mM, obtaining recoveries values equal to (111 ± 3) % and (86 ± 1) %, respectively. The multiplex detection of both glucose and glucosinolate in Brassicaceae samples evaluates the quality values of the waste sample, ensuring the quality of the re-used food product waste by using an eco-designed analytical tool. The combination of paper-based devices for quality control of food waste with the re-use of these food products represents a sustainable approach that perfectly matches sustainable agrifood practices as well as the overall approach of the circular economy.

Indexed as

GlucosinolatesRefuse DisposalFoodGlucosePaperQuality ControlGlucoseGlucosinolatesCarbon blackChronoamperometryGlucose oxidaseGlucosinolatesMyrosinasePrussian Blue nanoparticles

Identifiers

PMID35920941
PMCPMC9349161
OpenAlexW4289545705

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.