Chemometrics for Food, Environmental and Biological Analysis

Dear Colleagues,

Chemometrics involves the application of mathematical and statistical methods to analyze chemical data. Several major topics are associated with chemometrics in the context of food, environmental, and biological analysis. These include the following:

• Multivariate data analysis: techniques such as principal component analysis (PCA), partial least squares (PLS), and cluster analysis simultaneously handle data with multiple variables. They help in identifying patterns, correlations, and groupings within complex datasets.
• Spectral Analysis: methods like fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and mass spectrometry are employed to analyze spectral data from various samples in food, environmental, and biological analysis. Chemometrics helps interpret and extract meaningful information from these spectra.
• Chemical Fingerprinting: This involves using chemometric methods to create characteristic patterns or fingerprints of samples based on their chemical composition. It is instrumental in identifying and authenticating food products, environmental pollutants, or biological substances.
• Pattern Recognition: Chemometrics facilitates the recognition of complex patterns within datasets, aiding in classifying and discriminating between samples based on specific characteristics or properties.
• Quality Control and Assurance: Chemometrics is crucial in assessing the quality, authenticity, and safety of food products, environmental samples, and biological materials. It helps in monitoring and controlling factors that affect these aspects.
• Calibration and Predictive Modeling: Instrumental analysis uses chemometrics for calibration purposes to relate the measurements obtained from instruments to the properties of interest. It enables the creation of predictive models for estimating unknown properties of samples.
• Experimental Design: Chemometrics assists in designing experiments effectively by optimizing the number and arrangement of experimental runs. It aids in maximizing the information gained while minimizing the number of experiments required.
• Data Preprocessing and Feature Selection: Techniques like data normalization, outlier detection, and variable selection are vital in preparing data for analysis. Chemometrics methods help preprocess data to improve the quality and relevance of results.
• Quantitative Analysis: Chemometrics enables the quantification of various components or analytes present in food, environmental, or biological samples, even in complex matrices, by utilizing calibration models and regression techniques.
• Environmental Monitoring and Pollution Analysis: Chemometrics is widely applied in monitoring environmental pollutants, assessing their impact, identifying sources of contamination, and aiding in environmental management and remediation strategies.

These topics illustrate the broad applications of chemometrics in analyzing and interpreting data from diverse sources in food, environmental, and biological analysis. Therefore, research papers related to the topics above will be accepted in the Special Issue, titled “Chemosensors: Chemometrics for Food, Environmental, and Biological Analysis”.

Prof. Dr. Aderval Severino Luna
Guest Editor

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. Chemosensors is an international peer-reviewed open access monthly 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 2700 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.

• multivariate data analysis
• spectral analysis
• chemical fingerprint
• pattern recognition
• quality control and assurance
• calibration and predictive modeling
• experimental design
• data processing and feature selection
• quantitative analysis
• environmental monitoring
• pollution analysis