Chemometrics in Sensor Technology
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Chemical Sensors".
Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 785
Special Issue Editors
Interests: nanomaterials; gas sensors; biosensors; chemometrics
Special Issues, Collections and Topics in MDPI journals
Interests: measurement chains; sensors; AUV; reliability; integrated logistic support; neural networks; power quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Chemometrics is the chemical discipline that uses mathematical and statistical approaches to design experiments and provide relevant chemical information by analyzing complex experimental datasets. This discipline provides a useful tool for selecting operating conditions for sensor devices, optimizing synthesis process of sensing materials, computing mathematical models for multivariate calibration of sensor devices, and performing pattern recognition methods for sensor array data analysis.
Quality by design is a tool used for optimizing multifactor processes via the design of experiments and the multivariate analysis of collected data. Since the characteristics of sensing materials depends on synthesis factors and the performance of sensor devices depends on operating conditions, quality by design ensures the quality of sensor devices because it selects synthesis parameters for materials with suitable properties and sensor operating parameters to perform analyses under useful experimental settings.
Multivariate analysis is a method used for performing a multifactor calibration for more accurate analysis considering many factors affecting the experimental signal output from the sensor.
Chemometrics plays a key role in the electronic and nose. These devices are composed of three main components: a pattern recognition analyzer, a sensors array, and a signal processor. The former is software for chemometric analysis of sensor array data. Numerous chemometric methods for sensor array data analysis are available to discriminate between different samples, such as principal component analysis, discriminant function analysis, hierarchical cluster analysis, soft independent modelling by class analogy, partial least squares, artificial neural networks, and support vector machines.
Prof. Dr. Fabio Leccese
Dr. Fabio Zaza
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
- quality by design
- electronic tongue
- electronic nose
- multivariate calibration
- pattern recognition
- differential sensing
- principal component analysis
- artificial neural networks
- support vector machines
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
