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Full-Text Articles in Food Processing
Application Of Dna Barcoding Technology In The Identification Of Adulterated Ingredients Of Edible Blood Products, Li Jiong, Wu Qiong, Jiang Hai, Hu Ming-Jie, Xu Xin-Yi
Application Of Dna Barcoding Technology In The Identification Of Adulterated Ingredients Of Edible Blood Products, Li Jiong, Wu Qiong, Jiang Hai, Hu Ming-Jie, Xu Xin-Yi
Food and Machinery
Objective: A COI sequence-based full-length DNA barcoding technology was established to identify adulteration of seven animal-derived components （including pigs, cows, sheep, chickens, ducks, geese and rabbits） in edible blood products. Methods: After the blood products were extracted and purified by DNA extraction and PCR amplification, the clone sequencing results were submitted to the DNA barcode local database of the 7 blood products for sequence comparison. The pretreatment method, DNA extraction method and PCR amplification conditions of the blood products were also selected and optimized, and various common blood product adulteration models were established to study the lowest adulteration detection rate …
Qualitative And Quantitative Detection Of Camellia Oil Adulteration Based On Electronic Nose, Jiang Han, Li Da-Peng, Wen Tao, Yang Gan, Gong Zhong-Liang
Qualitative And Quantitative Detection Of Camellia Oil Adulteration Based On Electronic Nose, Jiang Han, Li Da-Peng, Wen Tao, Yang Gan, Gong Zhong-Liang
Food and Machinery
Objective: This study aims to realize the adulteration detection of camellia oil mixed with rapeseed oil, soybean oil and corn oil. Methods: The electronic nose detection platform was used for the adulteration detection of camellia oil mixed with different proportion of rapeseed oil, soybean oil and corn oil. Firstly, the linear discriminant analysis （LDA） and support vector machine （SVM） were used for the qualitative identification of camellia oil adulteration. Then multilayer perceptron （MLP） and partial least squares regression （PLSR） were used to establish quantitative prediction models for camellia oil adulteration. Results: The accuracy of SVM for qualitative authentication was higher …
Detection Method Of Mutton Adulteration Based On Pso-Lssvm And Characteristic Wavelengths Extraction, Tian-Tian Cheng, Ke-Jian Wang, Xian-Zhong Han, Shi Li, Yuan Wang
Detection Method Of Mutton Adulteration Based On Pso-Lssvm And Characteristic Wavelengths Extraction, Tian-Tian Cheng, Ke-Jian Wang, Xian-Zhong Han, Shi Li, Yuan Wang
Food and Machinery
In order to solve the problem of fast detection of adulteration of mutton and pork, the spectral collection of adulterated mutton was carried out by using a multi-spectral instrument, and the reflectivity of samples at the band of 350~1 100 nm was obtained. For data preprocessing, Particle Swarm Optimization (PSO) was used to optimize the Least Squares Support Vector Machine (LSSVM), and a Least Squares Support Vector Machine (PSO-LSSVM) model based on Particle Swarm Optimization was established, compared with Partial Least Squares(PLS), Back Propagation Neural Network (BPNN) and LSSVM models. The result showed that PSO algorithm could effectively optimize LSSVM …
Visualization Of Lamb Adulteration Based On Hyperspectral Imaging For Non-Destructive Quantitative Detection, Zhao Jing-Yuan, Zhang Jun-Qin, Sun Mei, Chen Xing-Hai, Liu Ye-Lin
Visualization Of Lamb Adulteration Based On Hyperspectral Imaging For Non-Destructive Quantitative Detection, Zhao Jing-Yuan, Zhang Jun-Qin, Sun Mei, Chen Xing-Hai, Liu Ye-Lin
Food and Machinery
Objective: This study aimed to establisha rapid and accurate prediction method of lamb adulteration by using visible/near-infrared (400~1 000 nm) and short-wave near-infrared (900~1 700 nm) hyperspectral imaging techniques.Methods: The data acquisition of lamb adulterated with different proportions of duck meat using visible/near-infrared (400~1 000 nm) and short-wave near-infrared (900~1 700 nm) hyperspectral imagers was performed to compare the effect of partial least squares (PLS) modeling with different spectral preprocessing methods in the two band ranges. Then the normalized preprocessing method was selected in the visible-NIR band, and the standard normal variate transformation (SNV) preprocessing method was …
Adulteration Model Establishment Of Camellia Oil Based On Aroma Components Extracted From Camellia Oil And Its Application, Chen Ze-Ming, Zhao Xin-Xin, Zhu Xiao-Yang, Zhou Bo, Zhong Hai-Yan
Adulteration Model Establishment Of Camellia Oil Based On Aroma Components Extracted From Camellia Oil And Its Application, Chen Ze-Ming, Zhao Xin-Xin, Zhu Xiao-Yang, Zhou Bo, Zhong Hai-Yan
Food and Machinery
Objective:This study aimed to solve the problem of quantitative detection of adulteration of extracted camellia seed oil into pressed camellia seed oil.Methods:HS-SPME-GC-MS was used to determine and analyze the key aroma components of refined camellia oil and three kinds of extracted camellia oil with essence.The relative contents of aroma components in 4 kinds of original camellia oil and 10 kinds of roasted camellia oil were compared with those in extracted camellia oil. Fisher discriminant analysis was carried out with the characteristic data of aroma components in extracted camellia oil, and LDA model was established.Results:The key …
Dna Barcoding Reveals Mislabeling Of Game Meat Species On The U.S. Commercial Market, Charles Quinto, Rebecca Tinoco, Rosalee S. Hellberg
Dna Barcoding Reveals Mislabeling Of Game Meat Species On The U.S. Commercial Market, Charles Quinto, Rebecca Tinoco, Rosalee S. Hellberg
Food Science Faculty Articles and Research
Game meats represent a valuable specialty market in the United States that has high economic incentives associated with mislabeling. However, there is limited information on this topic. The purpose of this study was to conduct a market survey of game meats sold within the United States and identify instances of mislabeling using DNA barcoding. Products were also examined for the presence of threatened or endangered species. Fifty-four samples of whole-cut game meats were collected from online distributors in the United States and sequenced across a 658 base-pair region of the cytochrome c oxidase subunit I (COI) gene. The resulting DNA …
Identification Of Meat Species In Pet Foods Using A Real-Time Polymerase Chain Reaction (Pcr) Assay, Tara A. Okuma, Rosalee S. Hellberg
Identification Of Meat Species In Pet Foods Using A Real-Time Polymerase Chain Reaction (Pcr) Assay, Tara A. Okuma, Rosalee S. Hellberg
Food Science Faculty Articles and Research
Product mislabeling, adulteration, and substitution are increasing concerns in highly processed foods, including pet foods. Although regulations exist for pet foods, there is currently a lack of information on the prevalence of pet food mislabeling. The objective of this study was to perform a market survey of pet foods and pet treats marketed for domestic canines and felines to identify meat species present as well as any instances of mislabeling. Fifty-two commercial products were collected from online and retail sources. DNA was extracted from each product in duplicate and tested for the presence of eight meat species (bovine, caprine, ovine, …