Standardization of UV–visible data in a food adulteration classification problem

Quantitative Detection of Aloin and Related Compounds Present in Herbal Products and Aloe vera Plant Extract Using HPLC Method

“…Aloe contains two major active materials: one is the aloe polysaccharides presenting in aloe filet; the other is anthraquinone derivatives existing in the leaves of different aloe plants [3]. The major constituents have multiple pharmacological actions including laxative, anti-bacterial, anti-inflammation, hemostatic, and antispasmodic [4][5][6][7][8][9]. These constituents are isolated by various extraction methods such as pressurized hot water extraction [10], ultrasonic and microwave extraction [11], supercritical CO 2 extraction [12], and pressurized liquid extraction [13].…”

Enhanced biological activity of carotenoids stabilized by phenyl groups

“…Each carotenoid was measured at a spectral resolution of 1 nm from 300 to 800 nm in a quartz cell (Di Anibal et al, 2012).…”

Computer vision‐based method for classification of wheat grains using artificial neural network

“…Progressive analysis and a meta‐multiclass method were employed to classify wheat grains by Zapotoczny . A study using classifiers and UV–visible spectrophotometry was conducted to classify spices through KNN . Prakash et al studied the classification of objects for machine vision implementations with classifier algorithms of KNN and NB.…”

“…13 A study using classifiers and UV-visible spectrophotometry was conducted to classify spices through KNN. 14 Prakash et al 15 studied the classification of objects for machine vision implementations with classifier algorithms of KNN and NB. ANN and ANFIS were utilized to classify rice grains into five species with respect to their morphological features.…”