A review of vibrational spectroscopic techniques for the detection of food authenticity and adulteration
Background Food adulteration, commonplace throughout human history, remains a concern
today, with several notable instances involving the agro-food industry. Scope and approach …
today, with several notable instances involving the agro-food industry. Scope and approach …
Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with …
Background Food quality, safety and authenticity are important issues for consumers,
governments, as well as the food industry. In the last decade, several researchers have …
governments, as well as the food industry. In the last decade, several researchers have …
Blown film extrusion of PBAT/TPS/ZnO nanocomposites for shelf-life extension of meat packaging
Biodegradable polymers typically have inferior barrier properties compared to petroleum-
based nonbiodegradable plastic. The addition of zinc oxide nanoparticles may enhance the …
based nonbiodegradable plastic. The addition of zinc oxide nanoparticles may enhance the …
Effects of nisin and EDTA on morphology and properties of thermoplastic starch and PBAT biodegradable films for meat packaging
P Leelaphiwat, C Pechprankan, P Siripho… - Food chemistry, 2022 - Elsevier
Biodegradable active packaging was produced by compounding nisin (3, 6 and 9%) and
nisin-ethylenediaminetetraacetic acid (EDTA)(3 and 6%) mixtures with poly (butylene …
nisin-ethylenediaminetetraacetic acid (EDTA)(3 and 6%) mixtures with poly (butylene …
Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning
M Kamruzzaman, Y Makino, S Oshita - Journal of Food Engineering, 2016 - Elsevier
The main objective of this study was to evaluate the potential of visible near-infrared (VNIR)
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …
Detecting pork adulteration in beef for halal authentication using an optimized electronic nose system
Recently, the issue of food authentication has gained attention, especially halal
authentication, because of cases of pork adulteration in beef. Many studies have developed …
authentication, because of cases of pork adulteration in beef. Many studies have developed …
Sensory implications of chicken meat spoilage in relation to microbial and physicochemical characteristics during refrigerated storage
Consumer perception of chicken meat spoilage is linked to sensory changes of raw chicken
during storage. The objective of this study was to characterise the sensory attributes of raw …
during storage. The objective of this study was to characterise the sensory attributes of raw …
Multispectral image analysis approach to detect adulteration of beef and pork in raw meats
The aim of this study was to investigate the potential of multispectral imaging supported by
multivariate data analysis for the detection of minced beef fraudulently substituted with pork …
multivariate data analysis for the detection of minced beef fraudulently substituted with pork …
A machine learning workflow for raw food spectroscopic classification in a future industry
Over the years, technology has changed the way we produce and have access to our food
through the development of applications, robotics, data analysis, and processing …
through the development of applications, robotics, data analysis, and processing …
Emerging spectroscopic and spectral imaging techniques for the rapid detection of microorganisms: An overview
Microorganism contamination and foodborne disease outbreaks are of public concern
worldwide. As such, the food industry requires rapid and nondestructive methods to detect …
worldwide. As such, the food industry requires rapid and nondestructive methods to detect …