Currently, there is a global trend towards offering consumers authentic, nutritionally valuable, and safe-to-consume foods. These issues pose challenges for the food and beverage industries, which needs to enhance its strategies for quality control, authenticity verification, and food safety. The analytical methodologies commonly employed (chromatographic, spectroscopic, or spectrometric) present drawbacks for automation in industrial environments as they require high-cost instrumentation, highly skilled technicians, do not allow analysis in miniaturized systems, and are time-consuming. In this context, electrochemical sensors have stood out due to their characteristics of speed, low cost, low environmental impact, and potential for automation/miniaturization. As a result, numerous electrochemical sensors have been developed, but only a very small fraction of them has been applied in routine analyses. This is due to the fact that there is still significant resistance among electrochemists in applying chemometric or artificial intelligence tools to address these challenges in food analysis.
The aim of this collection is to explore the latest applications of chemometrics and artificial intelligence to electrochemical (bio) sensors for food analysis.
The application of chemometric and artificial intelligence tools in the development, validation and application of electrochemical (bio) sensors can represent a major advance in matters pertaining to food quality control, food contamination or food adulteration/authentication. These tools make it possible to obtain more reliable and robust results, automate processes and analyze complex data structures. Therefore, these strategies facilitate the application of electrochemical (bio) sensors in routine analyses in research laboratories, food inspection laboratories or industrial laboratories.
Currently, the biggest challenge in applying analytical methods involving electrochemical (bio) sensors is demonstrating that they are suitable for their intended purpose. Quality control laboratories in industry and food inspection organizations are heavily regulated by ISO standards which require robust validation studies of methodologies before they can be used in routine laboratory analysis. In view of this, it is essential to develop strategies for carrying out validation studies of electrochemical (bio) sensors intended for food analysis, adopting chemometric tools and recommendations from validation guides.
We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
• Development of electrochemical (bio) sensors for food analysis utilizing chemometric and artificial intelligence tools;
• Novel chemometric strategies for the calibration of electrochemical (bio) sensors designed for food analysis;
• Robust and reliable validation studies of analytical methodologies employing electrochemical (bio) sensors for food quality control, food adulteration/authentication, and food contamination;
• Applications of electrochemical (bio) sensors involving pattern recognition/artificial intelligence techniques that provide significant contributions to food quality control or issues related to adulteration/authentication of foods.
Keywords:
chemometric tools, artificial intelligence, method validation; foods, electrochemical (bio) sensors, pattern recognition tools, calibration strategies
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Currently, there is a global trend towards offering consumers authentic, nutritionally valuable, and safe-to-consume foods. These issues pose challenges for the food and beverage industries, which needs to enhance its strategies for quality control, authenticity verification, and food safety. The analytical methodologies commonly employed (chromatographic, spectroscopic, or spectrometric) present drawbacks for automation in industrial environments as they require high-cost instrumentation, highly skilled technicians, do not allow analysis in miniaturized systems, and are time-consuming. In this context, electrochemical sensors have stood out due to their characteristics of speed, low cost, low environmental impact, and potential for automation/miniaturization. As a result, numerous electrochemical sensors have been developed, but only a very small fraction of them has been applied in routine analyses. This is due to the fact that there is still significant resistance among electrochemists in applying chemometric or artificial intelligence tools to address these challenges in food analysis.
The aim of this collection is to explore the latest applications of chemometrics and artificial intelligence to electrochemical (bio) sensors for food analysis.
The application of chemometric and artificial intelligence tools in the development, validation and application of electrochemical (bio) sensors can represent a major advance in matters pertaining to food quality control, food contamination or food adulteration/authentication. These tools make it possible to obtain more reliable and robust results, automate processes and analyze complex data structures. Therefore, these strategies facilitate the application of electrochemical (bio) sensors in routine analyses in research laboratories, food inspection laboratories or industrial laboratories.
Currently, the biggest challenge in applying analytical methods involving electrochemical (bio) sensors is demonstrating that they are suitable for their intended purpose. Quality control laboratories in industry and food inspection organizations are heavily regulated by ISO standards which require robust validation studies of methodologies before they can be used in routine laboratory analysis. In view of this, it is essential to develop strategies for carrying out validation studies of electrochemical (bio) sensors intended for food analysis, adopting chemometric tools and recommendations from validation guides.
We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
• Development of electrochemical (bio) sensors for food analysis utilizing chemometric and artificial intelligence tools;
• Novel chemometric strategies for the calibration of electrochemical (bio) sensors designed for food analysis;
• Robust and reliable validation studies of analytical methodologies employing electrochemical (bio) sensors for food quality control, food adulteration/authentication, and food contamination;
• Applications of electrochemical (bio) sensors involving pattern recognition/artificial intelligence techniques that provide significant contributions to food quality control or issues related to adulteration/authentication of foods.
Keywords:
chemometric tools, artificial intelligence, method validation; foods, electrochemical (bio) sensors, pattern recognition tools, calibration strategies
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.