AIMC Topic: Lactuca

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Identification of bacteria in juice/lettuce using magnetic nanoparticles and selected reaction monitoring mass spectrometry.

Journal of food and drug analysis
Ensuring food safety requires a rapid and reliable method for detecting food-borne pathogens. Mass spectrometry has been demonstrated as a powerful tool to classify pure bacterial species. However, matrix interference from food backgrounds may lead t...

Degradation of textile dyes Remazol Yellow Gold and reactive Turquoise: optimization, toxicity and modeling by artificial neural networks.

Water science and technology : a journal of the International Association on Water Pollution Research
In this work, the degradation of Remazol Yellow Gold RNL-150% and Reactive Turquoise Q-G125 were investigated using AOP: photolysis, UV/HO, Fenton and photo-Fenton. It was found that the photo-Fenton process employing sunlight radiation was the most ...

Influence of Incubation Conditions on the Nanoparticles Toxicity Based on Seed Germination and Bacterial Bioluminescence.

Journal of nanoscience and nanotechnology
The effects of the modified incubation conditions of a conventional bioassay on the toxicity of partially soluble nanoparticles (NPs) were evaluated based on the activity of seed germination and bacterial bioluminescence. Different levels of toxicity...

[The Identification of Lettuce Varieties by Using Unsupervised Possibilistic Fuzzy Learning Vector Quantization and Near Infrared Spectroscopy].

Guang pu xue yu guang pu fen xi = Guang pu
To solve the noisy sensitivity problem of fuzzy learning vector quantization (FLVQ), unsupervised possibilistic fuzzy learning vector quantization (UPFLVQ) was proposed based on unsupervised possibilistic fuzzy clustering (UPFC). UPFLVQ aimed to use ...