Quantification of polycyclic aromatic hydrocarbons in roasted Tan lamb using fluorescence hyperspectral imaging technology

Assessment of comprehensive PAH index in roasted Tan lamb by two‐dimensional correlation spectroscopy combined with hyperspectral imaging

“…Preliminary improvement of the detection of PAHs in samples was performed with reference to the method of Hao et al. (2023). First, 2.00 g of well‐mixed roasted lamb was added with 10 mL of n‐hexane and 3 g of diatomaceous earth in 50‐mL centrifuge tube A, vortexed and shaken for 30 s, and centrifuged after 30 min in a water bath (5000 r/5 min).…”

“…Traditional methods for the quantitative detection of PAHs commonly involve the use of high‐performance liquid chromatography (HPLC), fluorescence detection, and gas chromatography–mass spectrometry analysis (Bulanda & Janoszka, 2023; Hao et al., 2023). When the detection targets are meat or meat products, these methods require extensive cleaning procedures to separate PAHs and reduce matrix interference, which are costly, time‐consuming, and destructive (Viegas et al., 2012).…”

“…Lamb is a complex food matrix that includes proteins, fats, minerals, and vitamins (Hao et al., 2023; Liu et al., 2023). This makes it difficult to distinguish characteristic peaks on a one‐dimensional spectrum.…”

Evaluating Moisture Content in Immersion Vacuum-Cooled Sausages with Citrus Peel Extracts Using Hyperspectral Imaging

“…When coupled with chemometrics analysis, it has proven to be a robust and emerging nondestructive technique that is extensively utilized in the analysis of pork [17][18][19], lamb [20], beef [21,22], chicken [23], ham [24], and processed meat [13,16]. Wang and He (2019) successfully classified Cantonese sausage quality non-invasively using hyperspectral imaging, achieving a predictive accuracy of 100% [25].…”

Rapid Detection of Total Petroleum Hydrocarbons in Soil Using Advanced Fluorescence Imaging Techniques

“…The samples are detected and analyzed rapidly by monitoring their fluorescence signals to ensure that they are detected and quantified in real time. Hao et al 21 had used a fluorescence hyperspectral imaging technique with an excitation wavelength of 357 nm to determine the amount of total polycyclic aromatic hydrocarbons in roasted lambs. They created a prediction model combining partial least-squares regression, a least-squares support vector machine, and convolutional neural networks.…”