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New Sensors and Biosensors for Non Invasive Detection Applied to Food, Environment and Health

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 3885

Special Issue Editors


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Guest Editor
U MR CNRS 6144 GEPEA, CBAC Laboratory, 18 Boulevard Gaston Defferre, 85035 La Roche sur Yon, France
Interests: microbial biosensor; cell biosensor; Raman spectroscopy; microbiology; bioassay; toxicity; bioreporter; bioluminescence; biodegradation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Dept. Sciences des Aliments, Université Laval, Québec (Québec), Canada
2. INRAE-AgroparisTech, UMR914 PNCA, INRAE-AgroParisTech-Univ, Saclay, Paris, France
Interests: food chemistry; chemometrics; vibrational spectroscopy; IR; Raman; front-face fluorescence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue invites you to present your research and your applications in the field of non-invasive analysis using physicochemical sensors or biosensors. With this Special Issue, we want to show the capacities of certain sensors (acoustic, optical, gas, chemical, etc.) to inform and detect with being more or less in contact with the environment in which the analyte is found. Numerous applications already exist in various domains of sciences, such as food control and process monitoring (quality control of food production, adulteration detection, kinetics of chemical reactions, etc.), the medical field (measuremens of physiological parameters for medical monitoring and diagnostics of phathologies, physiological functions repair, etc.), and in biotechnology (bioreactors, etc.) or in the environment (air/water quality, toxicity assessment, security of goods and people, etc.). Similarly, biosensors can be developed between these sensors without being in direct contact with the specific bioelement. This new approach opens up applications in all major areas of activity. All aspects are considered, ranging from fundamental studies to industrial applications through data processing and process automation involving sensors or biosensors.

Prof. Dr. Gérald Thouand
Prof. Dr. Christophe B.Y. Cordella
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sensors
  • Biosensors
  • Non-invasive
  • Food control and process monitoring
  • Environmental control and monitoring
  • Medical monitoring
  • Medical diagnostics

Published Papers (1 paper)

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Research

15 pages, 2542 KiB  
Article
Sustainable, Alginate-Based Sensor for Detection of Escherichia coli in Human Breast Milk
by Nicholas Kikuchi, Margaret May, Matthew Zweber, Jerard Madamba, Craig Stephens, Unyoung Kim and Maryam Mobed-Miremadi
Sensors 2020, 20(4), 1145; https://doi.org/10.3390/s20041145 - 19 Feb 2020
Cited by 13 | Viewed by 3443
Abstract
There are no existing affordable diagnostics for sensitive, rapid, and on-site detection of pathogens in milk. To this end, an on-site colorimetric-based sustainable assay has been developed and optimized using an L16 (54) Taguchi design to obtain results in hours [...] Read more.
There are no existing affordable diagnostics for sensitive, rapid, and on-site detection of pathogens in milk. To this end, an on-site colorimetric-based sustainable assay has been developed and optimized using an L16 (54) Taguchi design to obtain results in hours without PCR amplification. To determine the level of Escherichia coli (E. coli) contamination, after induction with 150 µL of breast milk, the B-Per bacterial protein extraction kit was added to a solution containing an alginate-based microcapsule assay. Within this 3 mm spherical novel sensor design, X-Gal (5-Bromo-4-Chloro-3-Indolyl β-d-Galactopyranoside) was entrapped at a concentration of 2 mg/mL. The outward diffusing X-Gal was cleaved by β-galactosidase from E. coli and dimerized in the solution to yield a blue color after incubation at 40 °C. Color intensity was correlated with the level of E. coli contamination using a categorical scale. After an 8 h incubation period, a continuous imaging scale based on intensity normalization was used to determine a binary lower limit of detection (LOD), which corresponded to 102 colony forming unit per mL (CFU/mL) and above. The cost of the overall assay was estimated to be $0.81 per sample, well under the $3 benchmark for state-of-the-art immune-based test kits for pathogen detection in biofluids. Considering the reported binary LOD cutoff of 102 CFU/mL and above, this proposed hydrogel-based assay is suited to meet global requirements for screening breast milk or milk for pathogenic organisms of 104 CFU/mL, with a percentage of false positives to be determined in future efforts. Full article
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