Advanced applications of chemo‐responsive dyes based odor imaging technology for fast sensing food quality and safety: A review

Abstract

Public attention to foodquality and safety has been increased significantly. Therefore, appropriate analytical tools are needed to analyze and sense the food quality and safety. Volatile organic compounds (VOCs) are important indicators for the quality and safety of food products. Odor imaging technology based on chemoresponsive dyes is one of the most promising methods for analysis of food products. This article reviews the sensing and imaging fundamentals of odor imaging technology based on chemo-responsive dyes. The aim is to give detailed outlines about the theory and principles of using odor imaging technology for VOCs detection, and to focus primarily on its applications in the field of quality and safety evaluation of food products, as well as its future applicability in modern food industries and research. The literatures presented in this review clearly demonstrated that imaging technology based on chemo-responsive dyes has the exciting effect to inspect such as quality assessment of cereal , wine and vinegar flavored foods , poultry meat, aquatic products, fruits and vegetables, and tea. It has the potential for the rapid, reliable, and inline assessment of food safety and quality by providing odor-image-basedmonitoring tool. Practical Application:The literatures presented in this review clearly demonstrated that imaging technology based on chemo-responsive dyes has the exciting effect to inspect such as quality assessment of cereal , wine and vinegar flavored foods, poultry meat, aquatic products, fruits and vegetables, and tea.

Detection of Maize Mold Based on a Nanocomposite Colorimetric Sensor Array under Different Substrates

“…This mixed solution was then applied repeatedly using the method described above to screen for results. The calculation of the difference was based on the Euclidean distance formula normalΔ normalR = | normalR .25em r e a r − normalR .25em f r o n t | normalΔ normalG = | normalG .25em r e a r − normalG .25em f r o n t | normalΔ normalB = | normalB .25em r e a r − normalB .25em f r o n t | E u c l i d e a n .25em d i s t a n c e : normalΔ E = ( ( Δ R ) …”

“…This mixed solution was then applied repeatedly using the method described above to screen for results. The calculation of the difference was based on the Euclidean distance formula 29…”

“…Detection of Real Maize Samples. Four nanoparticles, PSA, porous silica nanosphere (PSN), zeolitic imidazolate framework-8 (ZIF-8), and etched ZIF-8, were synthesized 26,29,37 to enhance and modify the performance of colorimetric sensor dyes. The selected nanocomposite colorimetric sensitive dyes were used to construct the nanocomposite CSA.…”

“…They established an anticolonization PLS (ACO-PLS) model that predicted a high correlation coefficient of 0.9612. Moreover, other types of nanoparticles like PSA, 5,10,15,20-tetrakis­(4-fluorophenyl)-21 H ,23 H polymer zinc (TPP-Zn-F), and metal organic frameworks (MOFs) are increasingly being utilized in various aspects of food testing. These advancements highlight the potential of nanoparticles in enhancing the performance and accuracy of colorimetric sensors in detecting and analyzing different substances in food products.…”

Emerging applications of nano-optical sensors combined with near-infrared spectroscopy for detecting tea extract fermentation aroma under ultrasound-assisted sonication

“…Moreover, these steps are unable to match the requirements for in-situ monitoring of the dynamic changes in tea extract and clarify the aroma substances in the fermentation process under ultrasonic field stress. In recent years, optical sensor arrays based on chemo-selective colorants technology have demonstrated great promise toward odor monitoring [19] , [20] , [21] , [22] . Optical array sensing can incorporate a wide range of cross-reactive sensor elements for pattern-based interactions with any given set of analytes [23] .…”