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Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives
In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …
Application of near-infrared spectroscopy and hyperspectral imaging combined with machine learning algorithms for quality inspection of grape: a review
Grape is a fruit rich in various vitamins, and grape quality is increasingly highly concerned
with by consumers. Traditional quality inspection methods are time-consuming, laborious …
with by consumers. Traditional quality inspection methods are time-consuming, laborious …
Data fusion and multivariate analysis for food authenticity analysis
A mid-level data fusion coupled with multivariate analysis approach is applied to dual-
platform mass spectrometry data sets using Rapid Evaporative Ionization Mass …
platform mass spectrometry data sets using Rapid Evaporative Ionization Mass …
Rapid identification of fish species by laser-induced breakdown spectroscopy and Raman spectroscopy coupled with machine learning methods
There has been an increasing demand for the rapid verification of fish authenticity and the
detection of adulteration. In this work, we combined LIBS and Raman spectroscopy for the …
detection of adulteration. In this work, we combined LIBS and Raman spectroscopy for the …
[HTML][HTML] Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are two important
indicators for evaluating and controlling the quality and safety of chicken fillets. The aim of …
indicators for evaluating and controlling the quality and safety of chicken fillets. The aim of …
Data fusion of near-infrared and Raman spectroscopy: An innovative tool for non-destructive prediction of the TVB-N content of salmon samples
Total volatile basic nitrogen (TVB-N) serves as a crucial indicator for evaluating the
freshness of salmon. This study aimed to achieve accurate and non-destructive prediction of …
freshness of salmon. This study aimed to achieve accurate and non-destructive prediction of …
Quantitative analysis of Chinese steamed bread staling using NIR, MIR, and Raman spectral data fusion
H An, C Zhai, F Zhang, Q Ma, J Sun, Y Tang, W Wang - Food chemistry, 2023 - Elsevier
For efficient and comprehensive detection of the staling degree of Chinese steamed bread
(CSB), staled CSB samples stored for 0–16 days were prepared and analyzed using near …
(CSB), staled CSB samples stored for 0–16 days were prepared and analyzed using near …
An effective deep learning fusion method for predicting the TVB-N and TVC contents of chicken breasts using dual hyperspectral imaging systems
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are important freshness
indicators of meat. Hyperspectral imaging combined with chemometrics has been proven to …
indicators of meat. Hyperspectral imaging combined with chemometrics has been proven to …
Gel strength prediction in ultrasonicated chicken mince: Fusing near-infrared and Raman spectroscopy coupled with deep learning LSTM algorithm
The meat processing industry faces challenges in maintaining the gel quality in minced
chicken products, which affects consumer appeal and overall product quality. This study …
chicken products, which affects consumer appeal and overall product quality. This study …
Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics
As a rapid, label-free, non-destructive analytical measurement requiring little to no sample
preparation, Raman spectroscopy shows great promise for liquid biopsy cancer detection …
preparation, Raman spectroscopy shows great promise for liquid biopsy cancer detection …