Research Progress of Applying Infrared Spectroscopy Technology for Detection of Toxic and Harmful Substances in Food

Abstract

In recent years, food safety incidents have been frequently reported. Food or raw materials themselves contain substances that may endanger human health and are called toxic and harmful substances in food, which can be divided into endogenous, exogenous toxic, and harmful substances and biological toxins. Therefore, realizing the rapid, efficient, and nondestructive testing of toxic and harmful substances in food is of great significance to ensure food safety and improve the ability of food safety supervision. Among the nondestructive detection methods, infrared spectroscopy technology has become a powerful solution for detecting toxic and harmful substances in food with its high efficiency, speed, easy operation, and low costs, while requiring less sample size and is nondestructive, and has been widely used in many fields. In this review, the concept and principle of IR spectroscopy in food are briefly introduced, including NIR and FTIR. Then, the main progress and contribution of IR spectroscopy are summarized, including the model’s establishment, technical application, and spectral optimization in grain, fruits, vegetables, and beverages. Moreover, the limitations and development prospects of detection are discussed. It is anticipated that infrared spectroscopy technology, in combination with other advanced technologies, will be widely used in the whole food safety field.

Computer vision based deep learning approach for toxic and harmful substances detection in fruits

“…Qi et al [ 23 ] proposed a detection process of toxic and harmful substances in food using infrared spectroscopy technology. This review has mentioned the importance of rapid, effective, and nondestructive testing of noxious and harmful particles in food.…”

A hybrid variable selection method combining Fisher's linear discriminant combined population analysis and an improved binary cuckoo search algorithm

“…Variable selection for calibration model building of various process analyzers is crucial in industrial processes, which determines the accuracy, reliability, and robustness of the calibration model for key variable prediction. 1 With the development of photoelectric and sensing technology, molecular spectroscopy technology, e.g., NIR spectroscopy, has become an essential means to obtain qualitative and quantitative information about substances, 2,3 and is widely used in the elds of petroleum, food, and pharmaceuticals. 4 A NIR spectrum consists of hundreds or thousands of variables, and can also provide a wealth of information regarding the sample properties, environment, optical ber, and instrument.…”

“…1 With the development of photoelectric and sensing technology, molecular spectroscopy technology, e.g. , NIR spectroscopy, has become an essential means to obtain qualitative and quantitative information about substances, 2,3 and is widely used in the fields of petroleum, food, and pharmaceuticals. 4 A NIR spectrum consists of hundreds or thousands of variables, and can also provide a wealth of information regarding the sample properties, environment, optical fiber, and instrument.…”

Recent Advances of Food Hazard Detection Based on Artificial Nanochannel Sensors

“…At present, the detection technology of food contaminants has matured, but in practical applications, the detection of food contaminants relies on cumbersome instruments, such as gas chromatography (GC), high-performance liquid chromatography (HPLC), gas chromatography–mass spectrometry (GC-MS), − liquid chromatography–mass spectrometry (LCMS), enzyme-linked immunosorbent assay (ELISA), etc. − They can achieve high detection accuracy and stability, but they cannot achieve rapid on-site or nondestructive testing of food contaminants due to limitations such as heavy instrumentation, chemical pretreatment, and complex operations. − It is of great significance to use the method of on-site rapid inspection of food contaminants to carry out a large number of screenings, find suspicious problems in time, and quickly take corresponding measures, to improve the efficiency of supervision and ensure food safety. − Therefore, a real-time, sensitive, and rapid detection technology is required for food contaminants to minimize the risk of food contaminants endangering food safety.…”