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You searched for: Subject "adulterated products" Remove constraint Subject: "adulterated products" Journal Food chemistry Remove constraint Journal: Food chemistry
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1. Identification of milk adulteration by a sensor array based on cationic polymer induced aggregation of a perylene probe

Author:
Zhang, Ling; Hou, Jiaze; Zhou, Huipeng; Nawaz, Muhammad Azhar Hayat; Li, Yongxin; Huang, Hui; Yu, Cong
Source:
Food chemistry 2021 v.343 pp. 128492
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; accuracy; correlation; detection; fluorescence; food chemistry; milk; polymers;     Show all 8 Subjects
Abstract:
... A novel fluorescence sensor array based on cationic polymer induced self-assembly of a perylene probe is developed. Cationic polymer induced aggregation of the carboxyl modified negatively charged perylene probe, and resulted in large quenching of monomer emission and generation of excimer emission. Upon the addition of negatively charged protein, monomer fluorescence restored with a decrease in e ...
DOI:
10.1016/j.foodchem.2020.128492

2. Scores selection via Fisher’s discriminant power in PCA-LDA to improve the classification of food data

Author:
de Almeida, Valber Elias; de Sousa Fernandes, David Douglas; Diniz, Paulo Henrique Gonçalves Dias; de Araújo Gomes, Adriano; Véras, Germano; Galvão, Roberto Kawakami Harrop; Araujo, Mario Cesar Ugulino
Source:
Food chemistry 2021 v.363 pp. 130296
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; algorithms; discriminant analysis; food chemistry; principal component analysis; soybeans; variance; wood;     Show all 8 Subjects
Abstract:
... This paper proposes an adaptation of the Fisher's discriminability criterion (named here as discriminant power, DP) for choosing principal components (obtained from Principal Component Analysis, PCA), which will be used to construct supervised Linear Discriminant Analysis (LDA) models for solving classification problems of food data. The proposed PCA-DP-LDA algorithm was then applied to (i) simula ...
DOI:
10.1016/j.foodchem.2021.130296

3. Riboflavin as an internal marker for spoilage and adulteration detection in milk

Author:
Pandey, Gaurav; Joshi, Abhijeet
Source:
Food chemistry 2021 v.357 pp. 129742
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; biomarkers; detection; fluorescence; food chemistry; milk; milk quality; research; riboflavin; spoilage; urea;     Show all 11 Subjects
Abstract:
... Milk is a common consumable in daily life due to its nutritional values. Ensuring milk’s integrity and authenticity is a prime task for researchers and food industries by providing solutions to prevent spoilage and adulteration. We present a robust and reliable optical method to ensure milk quality through its constituent riboflavin as an internal biomarker. Riboflavin is a widely present constitu ...
DOI:
10.1016/j.foodchem.2021.129742

4. NIR and MIR spectroscopy for quick detection of the adulteration of cocoa content in chocolates

Author:
Santos, Ingrid Alves; Conceição, Daniele Gomes; Viana, Marília Borges; Silva, Grazielly de Jesus; Santos, Leandro Soares; Ferrão, Sibelli Passini Barbosa
Source:
Food chemistry 2021 v.349 pp. 129095
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; behavior; chemometrics; chocolate; correlation; detection; food chemistry; infrared spectroscopy; principal component analysis; spectral analysis;     Show all 10 Subjects
Abstract:
... The Near (NIR) and Mid (MIR) Infrared Spectroscopy associated with chemometric techniques were used to determine the cocoa solids content in chocolates and detect possible adulterations. Five chocolate formulations (30% to 90%) were produced with different cocoa solids concentrations and 110 commercial samples from 10 different countries with varying concentrations of cocoa solids (30% to 88%) wer ...
DOI:
10.1016/j.foodchem.2021.129095

5. oDiscovery of peptide biomarkers by label-free peptidomics for discrimination of horn gelatin and hide gelatin from Cervus nippon Temminck

Author:
Han, Shuying; Zhao, Kexuan; Cai, Shuo; Jiang, Mengtong; Huang, Xiaozheng; Chen, Shengjun; Li, Song; Zhao, Ming; Duan, Jin-ao; Liu, Rui
Source:
Food chemistry 2021 pp. 130347
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; Cervus nippon; biomarkers; food chemistry; gelatin; glycosylation; multivariate analysis; peptides; peptidomics; Asia;     Show all 10 Subjects
Abstract:
... Gelatin and gelatin-based derivatives have been attracting worldwide attention as health-food ingredients. Deer horn gelatin (DCG), a well-known and expensive gelatin food in Asia, has suffered adulterants by adding deer-hide gelatin (DHG) in it. However, robust and effective methods which could differentiate DCG from DHG are still unavailable. This study is committed to discover peptide biomarker ...
DOI:
10.1016/j.foodchem.2021.130347

6. Building robust models for identification of adulteration in olive oil using FT-NIR, PLS-DA and variable selection

Author:
Vieira, Laurence Souza; Assis, Camila; de Queiroz, Maria Eliana Lopes Ribeiro; Neves, Antônio Augusto; de Oliveira, André Fernando
Source:
Food chemistry 2021 v.345 pp. 128866
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; accuracy; classification; extra-virgin olive oil; food chemistry; market value; models; olives;     Show all 8 Subjects
Abstract:
... Being a product with a high market value, olive oil undergoes adulterations. Therefore, studies that make the verification of the authenticity of olive oil more efficient are necessary. The aim of this study was to develop a robust model using FT-NIR and PLS-DA to discriminate extra virgin olive oil samples and build individual models to differentiate adulterated extra virgin olive oil samples. Th ...
DOI:
10.1016/j.foodchem.2020.128866

7. Discrimination of honey and syrup-based adulteration by mineral element chemometrics profiling

Author:
Liu, Tao; Ming, Kang; Wang, Wei; Qiao, Ning; Qiu, Shengrong; Yi, Shengxiang; Huang, Xueyong; Luo, Liping
Source:
Food chemistry 2021 v.343 pp. 128455
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; accuracy; barium; chemometrics; food chemistry; honey; minerals; models; statistical analysis; syrups;     Show all 10 Subjects
Abstract:
... Mineral elements are important constituents in honey, which play vital roles in determining the quality and authenticity. The present work aims to systematically estimate the mineral profile of honeys, syrups, and adulterated honeys by syrup directly with chemometrics. Twelve mineral elements with higher contents were determined by ICP-OES in 67 honeys from 6 botanical origins, 17 syrups from 3 ty ...
DOI:
10.1016/j.foodchem.2020.128455

8. FT-IR-based quantitative analysis strategy for target adulterant in fish oil multiply adulterated with terrestrial animal lipid

Author:
Gao, Bing; Xu, Shuai; Han, Lujia; Liu, Xian
Source:
Food chemistry 2021 v.343 pp. 128420
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; accuracy; adulterants; detection; fish; fish oils; food chemistry; lipids; models; precision; prediction; quantitative analysis;     Show all 12 Subjects
Abstract:
... The interference of nontarget adulterant on FT-IR-based target adulterant quantitative analysis was explored and a sequential strategy was proposed to improve the prediction accuracy of the quantitative analysis model. Based on the FT-IR data of fish oil adulterated with terrestrial animal lipid, PLS and PLS-DA results show that quantitative analysis modeled by multiple and single adulteration dat ...
DOI:
10.1016/j.foodchem.2020.128420

9. Monitoring the quality of honey: South African case study

Author:
De Beer, Tersia; Otto, Margot; Pretoruis, Beulah; Schönfeldt, Hettie C.
Source:
Food chemistry 2021 v.343 pp. 128527
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; ash content; case studies; compliance; food chemistry; forage; honey; markets; multivariate analysis; sucrose;     Show all 10 Subjects
Abstract:
... The popularity of honey as a high-valued commodity is growing and consequently, honey adulteration is on the rise affecting the honey quality. The quality of the honey on the South African market was evaluated using the Agricultural Product Standards Act, 1990 as assessment tool. Various physico-chemical characteristics were tested which indicated compliance of >80% for all honey samples. A canoni ...
DOI:
10.1016/j.foodchem.2020.128527

10. Distinction between glycomacropeptide and β-lactoglobulin with ‘stains all’ dye on tricine SDS-PAGE gels

Author:
Sharma, Neelima; Sharma, Rajan; Rajput, Yudhishthir S.; Mann, Bimlesh; Gandhi, Kamal
Source:
Food chemistry 2021 v.340 pp. 127923
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; acrylamides; cheese whey; detection; dyes; food chemistry; gels; milk; polyacrylamide gel electrophoresis; rennet; whey;     Show all 11 Subjects
Abstract:
... Identification of glycomacropeptide (GMP) and β-lactoglobulin (β-lg) present in cheese whey is difficult on SDS-PAGE due to their close proximity during electrophoresis and poor sensitivity of commonly used staining dye ‘coomassie brilliant blue’ (CBB) towards GMP. A simple method has been developed for the detection of GMP and β-lg by staining acrylamide gel after tricine SDS-PAGE using cationic ...
DOI:
10.1016/j.foodchem.2020.127923

11. Assessing mineral profiles for rice flour fraud detection by principal component analysis based data fusion

Author:
Pérez-Rodríguez, Michael; Dirchwolf, Pamela Maia; Rodríguez-Negrín, Zenaida; Pellerano, Roberto Gerardo
Source:
Food chemistry 2021 v.339 pp. 128125
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; classification; detection; food chemistry; fraud; industry; principal component analysis; quality control; rice; rice flour;     Show all 10 Subjects
Abstract:
... The present work proposes to detect adulteration in rice flour using mineral profiles. Eighty-seven flour samples from two rice kinds (Indica and Japonica) plus thirty adulterated flour samples were analyzed by ICP OES. After obtaining the quantitative elemental fingerprint of the samples, PCA and LDA were applied. Binary and multiclass associations were considered to assess rice flour authenticit ...
DOI:
10.1016/j.foodchem.2020.128125

12. A novel digital image method for determination of reducing sugars in aged and non-aged cachaças employing a smartphone

Author:
Franco, Mathews de O.K.; Suarez, Willian T.; dos Santos, Vagner B.; Resque, Ian S.
Source:
Food chemistry 2021 v.338 pp. 127800
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; calibration; colorimetry; digital images; food chemistry; fraud; fructose; glucose; knowledge; mobile telephones; sugar content;     Show all 11 Subjects
Abstract:
... For the first time, a method is proposed for colorimetric determination of reducing sugars in cachaça employing digital image and a smartphone as detector. The method was based on the reduction of Cu(II) to Cu(I) by sugars and followed by the formation of a colored Cu(I)-Neocuproine complex. A calibration curve was linear from 0.1 to 15 g L⁻¹ for glucose and fructose with limits of detection of 0. ...
DOI:
10.1016/j.foodchem.2020.127800

13. A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection

Author:
Li, Jiapeng; Wei, Yixuan; Li, Jinchun; Liu, Ruixi; Xu, Suigen; Xiong, Suyue; Guo, Ya; Qiao, Xiaoling; Wang, Shouwei
Source:
Food chemistry 2021 v.338 pp. 127932
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; area; beef; cattle; detection; food chemistry; mitochondria; quantitative polymerase chain reaction;     Show all 8 Subjects
Abstract:
... An efficient and reliable duplex SYBR Green real-time quantitative PCR (qPCR) method for beef products adulteration detection was developed based on bovine specific and vertebrate universal primers. By analyzing the numbers, positions (Tm value) of melting curve peaks of the duplex PCR products, we simultaneously identified bovine and preliminary screened non-bovine in samples, and also semi-quant ...
DOI:
10.1016/j.foodchem.2020.127932

14. Discrimination of geographical origin and species of China's cattle bones based on multi-element analyses by inductively coupled plasma mass spectrometry

Author:
Zhang, Hongru; Liu, Wenyuan; Shen, Qingshan; Zhao, Laiyu; Zhang, Chunhui; Richel, Aurore
Source:
Food chemistry 2021 v.356 pp. 129619
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; accuracy; atomic absorption spectrometry; cattle; cluster analysis; discriminant analysis; food chemistry; information; markets; multivariate analysis; provenance; reliability; China;     Show all 13 Subjects
Abstract:
... Consumers have an increasing concern in the provenance of the foods they consume. Methods for discriminating geographical origins and species of cattle bone product are essential to provide veracious information for consumers and avoid the adulteration and inferior problems. In this study, 50 element contents of a total of 143 cattle bone samples from eight producing regions in China, were determi ...
DOI:
10.1016/j.foodchem.2021.129619

15. An effective analytical droplet digital PCR approach for identification and quantification of fur-bearing animal meat in raw and processed food

Author:
Yu, Ning; Ren, Junan; Huang, Wensheng; Xing, Ranran; Deng, Tingting; Chen, Ying
Source:
Food chemistry 2021 v.355 pp. 129525
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; Nyctereutes procyonoides; accuracy; assays; detection limit; droplets; food chemistry; foxes; fur-bearing animals; genes; meat; mink; processed foods;     Show all 13 Subjects
Abstract:
... Available nuclear gene sequences for meat detection are still rare and little applicability in the investigation of new types of meat adulteration such as fox, mink and raccoon dog was performed. In the present work, we developed a reliable qualitative and quantitative detection method for fur-bearing animal meat based on droplet digital PCR (ddPCR). Three sets of primers and probes targeted nucle ...
DOI:
10.1016/j.foodchem.2021.129525

16. Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection

Author:
Amirvaresi, Arian; Nikounezhad, Nastaran; Amirahmadi, Maryam; Daraei, Bahram; Parastar, Hadi
Source:
Food chemistry 2021 v.344 pp. 128647
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; Calendula; Carthamus tinctorius; accuracy; chemometrics; classification; data collection; detection; food chemistry; near-infrared spectroscopy; principal component analysis; saffron;     Show all 12 Subjects
Abstract:
... In this work, the potential of near-infrared (NIR) and mid-infrared (MIR) spectroscopy along with chemometrics was investigated for authentication and adulteration detection of Iranian saffron samples. First, authentication of one-hundred saffron samples was examined by principal component analysis (PCA). The results showed the NIR spectroscopy can better predict the origin of samples than the MIR ...
DOI:
10.1016/j.foodchem.2020.128647

17. Quantitative determination of mutton adulteration with single-copy nuclear genes by real-time PCR

Author:
Li, Tingting; Wang, Jishi; Wang, Zhiying; Qiao, Lu; Liu, Rui; Li, Shanshan; Chen, Ailiang
Source:
Food chemistry 2021 v.344 pp. 128622
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; DNA; correlation; food chemistry; mitochondria; mitochondrial genes; mutton; quantitative analysis; quantitative polymerase chain reaction; sheep;     Show all 10 Subjects
Abstract:
... Mitochondrial genes were generally adopted for PCR-based meat adulteration authentication due to their excellent specificity to species and numerous copies in one cell. However, the number of mitochondrial gene copies varies according to cells and tissues, which leads to quantification errors for meat adulteration. To address this problem, single-copy nuclear genes were selected to develop a quant ...
DOI:
10.1016/j.foodchem.2020.128622

18. Fluorescence based immunochromatographic sensor for rapid and sensitive detection of tadalafil and comparison with a gold lateral flow immunoassay

Author:
Suryoprabowo, Steven; Liu, Liqiang; Kuang, Hua; Cui, Gang; Xu, Chuanlai
Source:
Food chemistry 2021 v.342 pp. 128255
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; detection; drugs; flow; fluorescence; food chemistry; gold; immunoaffinity chromatography; immunoassays; monoclonal antibodies; nanogold; public health;     Show all 12 Subjects
Abstract:
... Tadalafil (TDL) is an illegal additive drug found in drinks and functional foods that could threaten public health. There was a great concern whether the adulteration occurred in coffee added with similar type of herbs. Here we have developed a rapid, simple, sensitive, and semi-quantitative lateral flow immunoassay (LFIA) based on gold and fluorescence labelled monoclonal antibody (mAb) for detec ...
DOI:
10.1016/j.foodchem.2020.128255

19. Determination of milk fat authenticity in ultra-filtered white cheese by using Raman spectroscopy with multivariate data analysis

Author:
Genis, Duygu Ozer; Sezer, Banu; Durna, Sahin; Boyaci, Ismail Hakki
Source:
Food chemistry 2021 v.336 pp. 127699
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; Raman spectroscopy; cheese industry; corn; food chemistry; margarine; milk fat; multivariate analysis; palm oils; white cheeses;     Show all 10 Subjects
Abstract:
... Cheese is one of the most widely consumed food products in the world. However, the increasing demand for nutritionally enhanced or functional products by the cheese industry has created new approaches that partially or fully replace milk fat. With this, new methods of adulteration have also been noted, potentially leading to these fully/partially-replaced products being offered as cheese. In this ...
DOI:
10.1016/j.foodchem.2020.127699

20. Rapid detection of Chinese-specific peony seed oil by using confocal Raman spectroscopy and chemometrics

Author:
Wang, Hongpeng; Xin, Yingjian; Ma, Huanzhen; Fang, Peipei; Li, Chenhong; Wan, Xiong; He, Zhiping; Jia, Jianjun; Ling, Zongcheng
Source:
Food chemistry 2021 v.362 pp. 130041
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; Paeonia; Raman imaging; chemometrics; fatty acid composition; food chemistry; industry; linolenic acid; nut oils; quality control; quantitative analysis; rapid methods; vegetable oil; China;     Show all 14 Subjects
Abstract:
... Peony seed oil (PSO) is a new woody nut oil which is unique to China. Its unsaturated fatty acids are over 90% and are rich in α - linolenic acid. Although the PSO industry is in its infancy, it is bound to become a top vegetable oil food material because of its own advantages. The potential high commercial profit of its adulteration with cheap vegetable oil will be an important factor hindering t ...
DOI:
10.1016/j.foodchem.2021.130041