Evidence map›Paper›PMID 35684798›Full record

ReviewSensors (Basel, Switzerland)2022

Field-Effect Transistor-Based Biosensors for Environmental and Agricultural Monitoring.

Giulia Elli, Saleh Hamed, Mattia Petrelli, Pietro Ibba, Manuela Ciocca, Paolo Lugli, Luisa Petti

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

7 authors.

Giulia ElliFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0003-3945-4440
Saleh HamedFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0003-1128-5489
Mattia PetrelliFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0002-0416-0904
Pietro IbbaFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0002-2137-1957
Manuela CioccaFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0001-8014-9814
Paolo LugliFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0002-2511-5643
Luisa PettiFaculty of Science and Technology, Free University of Bolzano-Bozen, 39100 Bolzano, Italy.ORCID 0000-0003-0264-7185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The precise monitoring of environmental contaminants and agricultural plant stress factors, respectively responsible for damages to our ecosystems and crop losses, has nowadays become a topic of uttermost importance. This is also highlighted by the recent introduction of the so-called "Sustainable Development Goals" of the United Nations, which aim at reducing pollutants while implementing more sustainable food production practices, leading to a reduced impact on all ecosystems. In this context, the standard methods currently used in these fields represent a sub-optimal solution, being expensive, laboratory-based techniques, and typically requiring trained personnel with high expertise. Recent advances in both biotechnology and material science have led to the emergence of new sensing (and biosensing) technologies, enabling low-cost, precise, and real-time detection. An especially interesting category of biosensors is represented by field-effect transistor-based biosensors (bio-FETs), which enable the possibility of performing in situ, continuous, selective, and sensitive measurements of a wide palette of different parameters of interest. Furthermore, bio-FETs offer the possibility of being fabricated using innovative and sustainable materials, employing various device configurations, each customized for a specific application. In the specific field of environmental and agricultural monitoring, the exploitation of these devices is particularly attractive as it paves the way to early detection and intervention strategies useful to limit, or even completely avoid negative outcomes (such as diseases to animals or ecosystems losses). This review focuses exactly on bio-FETs for environmental and agricultural monitoring, highlighting the recent and most relevant studies. First, bio-FET technology is introduced, followed by a detailed description of the the most commonly employed configurations, the available device fabrication techniques, as well as the specific materials and recognition elements. Then, examples of studies employing bio-FETs for environmental and agricultural monitoring are presented, highlighting in detail advantages and disadvantages of available examples. Finally, in the discussion, the major challenges to be overcome (e.g., short device lifetime, small sensitivity and selectivity in complex media) are critically presented. Despite the current limitations and challenges, this review clearly shows that bio-FETs are extremely promising for new and disruptive innovations in these areas and others.

Indexed as

Biosensing TechniquesTransistors, ElectronicAnimalsEcosystembio-FETsenvironmental pollutantsflexible electronicsplant stressessensorsthin-film fabricationtransistors

Identifiers

PMID35684798
PMCPMC9185402

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.