Background Food adulteration has emerged as a significant challenge in the food industry,
impacting consumer health and trust in the market. Utilizing machine learning especially …

Background Food safety, an initial aim of food analysis, has become a thriving concern
globally for human health. As a miniaturized system, microfluidic devices integrates multiple …

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 …

Background Edible oils play a vital role in our daily life, which provide human beings with
energy, essential fatty acids and nutrients. The quality of edible oils can be dependent on …

Matcha tea is rich in taste and bioactive constituents, quality evaluation of matcha tea is
important to ensure flavor and efficacy. Near-infrared spectroscopy (NIR) in combination with …

Wheat is one of the most widely cultivated crops throughout the world. A great need exists
for wheat quality assessment for breeding, processing, and products production purposes …

Background Quality control (QC) of nutraceuticals has always been a challenging task due
to their complex nature and wide sources of variability. As a green, fast, and nondestructive …

Honey, recognized for its diverse flavors and nutritional benefits, confronts challenges in
maintaining authenticity and quality due to factors like adulteration and mislabelling. This …

Abstract Machine learning models were developed to predict the degree of rancidity of beef
by a non-destructive method using a near infrared hyperspectral image acquisition system …

Background Cereals around the globe are consumed as a staple food owing to the provision
of essential nutrients. Their quality attributes are increasingly attracting the attention of …