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1. A comparative analysis of the discrimination of pepper (Capsicum annuum L.) based on the cross‐section and seed textures determined using image processing

Author:
Ropelewska, Ewa; Szwejda‐Grzybowska, Justyna
Source:
Journal of food process engineering 2021 v.44 no.6 pp. e13694
ISSN:
0145-8876
Subject:
adulterated products,   etc   ; Capsicum annuum; color; cultivars; fruits; pepper; probability; texture;     Show all 8 Subjects
Abstract:
... The aim of this study was to develop the models based on the texture parameters of images of selected parts of pepper fruit for cultivar discrimination. This study was aimed to compare the usefulness of textures from cross‐sections (slices) and seeds of pepper for distinguishing the different cultivars using the discriminative classifiers. The textures from the cross‐sections and seeds were calcul ...
DOI:
10.1111/jfpe.13694

2. Non-targeted HPLC-FLD fingerprinting for the detection and quantitation of adulterated coffee samples by chemometrics

Author:
Núñez, Nerea; Saurina, Javier; Núñez, Oscar
Source:
Food control 2021 v.124 pp. 107912
ISSN:
0956-7135
Subject:
adulterated products,   etc   ; chemometrics; detection; food safety; prediction; Vietnam;     Show all 6 Subjects
Abstract:
... Coffee is today one of the most popular beverages in the world and the determination of its authenticity is an important issue considering the increase of adulteration cases in the last years. In this work, a simple and efficient non-targeted HPLC-FLD fingerprinting method was employed to detect and quantify adulteration levels in coffee samples by partial least squares (PLS) regression to guarant ...
DOI:
10.1016/j.foodcont.2021.107912

3. 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

4. Comparison of petiole anatomy in Flemingia and its potential for delimitation of species

Author:
Thacker, Khyati D.; Gavade, Sandip K.; Lekhak, Manoj M.; Gondaliya, Amit D.; Rajput, Kishore S.
Source:
Flora 2021 v.278 pp. 151790
ISSN:
0367-2530
Subject:
adulterated products,   etc   ; cortex; dyes; flora; histology; insects; petioles; traditional medicine;     Show all 8 Subjects
Abstract:
... Socio-economically, different species of Flemingia are used worldwide for various purposes like food, folk medicine to cure various ailments, as a source of non-timber products (e.g., resin, dye, host for lac insect, toothbrush, etc.). Therefore, species level identification is important even in the absence of reproductive structures as it will help to avoid adulteration. In this context, petiole ...
DOI:
10.1016/j.flora.2021.151790

5. Quality control of natural resins used in historical European lacquer reconstructions with some reflections on the composition of sandarac resin (Tetraclinis articulata (Vahl) Mast.)

Author:
Decq, Louise; Stoffelen, Piet; Cattersel, Vincent; Mazurek, Joy; Fremout, Wim; Veenhoven, Jonas; Lynen, Frederic; Saverwyns, Steven; Vandenabeele, Peter
Source:
Journal of analytical and applied pyrolysis 2021 pp. 105159
ISSN:
0165-2370
Subject:
adulterated products,   etc   ; Callitris; Juniperus; Tetraclinis articulata; pyrolysis; quality control;     Show all 6 Subjects
Abstract:
... In order to verify correct labeling and purity of natural lacquer ingredients sold today, 66 resins, gums and oils were analyzed by THM-GC/MS and compared with non-commercial reference samples. 21 deviations were found, indicating an adulteration or mislabeling of a resin. Many of the deviations occurred in sandarac resin, traditionally harvested from Tetraclinis articulata (Vahl) Mast., which see ...
DOI:
10.1016/j.jaap.2021.105159

6. Deep learnt grading of almond kernels

Author:
Vidyarthi, Sriram K.; Singh, Samrendra K; Xiao, Hong‐Wei; Tiwari, Rakhee
Source:
Journal of food process engineering 2021 v.44 no.4 pp. e13662
ISSN:
0145-8876
Subject:
adulterated products,   etc   ; algorithms; almonds; labor; neural networks; California;     Show all 6 Subjects
Abstract:
... Four deep convolutional neural network (DCNN) models, including Inception‐V3, ResNet50, VGG‐16, and a custom model were proposed to perform almond classification in five categories based on the adulteration of whole almond kernels with 0, 5, 15, 25, and 35% of broken almonds. Their performances were compared by statistical measures, including recall, specificity, precision, accuracy, and F1‐score. ...
DOI:
10.1111/jfpe.13662

7. Mid-infrared spectra feature extraction and visualization by convolutional neural network for sugar adulteration identification of honey and real-world application

Author:
Li, Qianqian; Zeng, Jingqi; Lin, Ling; Zhang, Jing; Zhu, Jinyuan; Yao, Lu; Wang, Shuying; Du, Jing; Wu, Zhisheng
Source:
Lebensmittel-Wissenschaft + [i.e. und] Technologie 2021 v.140 pp. 110856
ISSN:
0023-6438
Subject:
adulterated products,   etc   ; discriminant analysis; honey; neural networks; spectroscopy; sugars;     Show all 6 Subjects
Abstract:
... In this study, convolutional neural networks (CNN) strategy combined with mid-infrared (MIR) spectra is applied for sugar adulteration identification in honey. In order to acquire the variations from different classes as well as obtain a better interpretation of the model, a visualization of the CNN algorithm is employed for honey adulteration determination. All kernels are co-acted to explore sub ...
DOI:
10.1016/j.lwt.2021.110856

8. The Validity of Protein in Australian Honey as an Internal Standard for C4 Sugar Adulteration

Author:
Chowdhury, Sadia A.; Carter, James F.; Anuj, Shalona R.; Cozzolino, Daniel; Hungerford, Natasha L.; Fletcher, Mary T.
Source:
Food analytical methods 2021 v.14 no.4 pp. 823-833
ISSN:
1936-9751
Subject:
adulterated products,   etc   ; beekeepers; carbon; honey; nectar; pollen; sodium; sugars; supermarkets;     Show all 9 Subjects
Abstract:
... Recent media reports claimed that a large proportion of honey sold in Australian supermarkets was adulterated, although no specific details of the nature of the adulteration were made public. To investigate the basis of these claims, the current study was conducted with samples of Australian honey obtained from supermarkets or direct from beekeepers/small-scale producers. Without evidence to the c ...
DOI:
10.1007/s12161-020-01938-6

9. Characterisation of water in honey using a microwave cylindrical cavity resonator sensor

Author:
Li, Zhen; Meng, Zhaozong; Haigh, Arthur; Wang, Ping; Gibson, Andrew
Source:
Journal of food engineering 2021 v.292 pp. 110373
ISSN:
0260-8774
Subject:
adulterated products,   etc   ; food analysis; honey; liquids; water content;     Show all 5 Subjects
Abstract:
... A low-cost microwave cavity resonator sensor is developed for the assessment of honey. When a liquid sample is placed in the cavity, the resonant responses are significantly changed caused by the material perturbation. From the measurement of standard liquid samples with known permittivity, it is well demonstrated that the electric permittivity can be accurately determined. For the honey-water mix ...
DOI:
10.1016/j.jfoodeng.2020.110373

10. Review of some adulteration detection techniques of edible oils

Author:
Salah, Wael A; Nofal, Mays
Source:
Journal of the science of food and agriculture 2021 v.101 no.3 pp. 811-819
ISSN:
0022-5142
Subject:
adulterated products,   etc   ; agriculture; human health; olive oil; prices; vegetables;     Show all 6 Subjects
Abstract:
... Edible oils have economical and nutritional benefits. These oils offer nutrients that are essential to human health because they are the primary source of mono‐ and poly‐unsaturated fats. Moreover, edible oils are used in home cooking and industrial food manufacturing. Therefore, edible oils have a considerable demand worldwide. However, some edible oils, such as olive oil, are more expensive than ...
DOI:
10.1002/jsfa.10750

11. Recent Advancements on Vibrational Spectroscopic Techniques for the Detection of Authenticity and Adulteration in Horticultural Products with a Specific Focus on Oils, Juices and Powders

Author:
Arendse, Ebrahiema; Nieuwoudt, Helene; Magwaza, Lembe Samukelo; Nturambirwe, Jean Fredric Isingizwe; Fawole, Olaniyi Amos; Opara, Umezuruike Linus
Source:
Food and bioprocess technology 2021 v.14 no.1 pp. 1-22
ISSN:
1935-5130
Subject:
adulterated products,   etc   ; Raman spectroscopy; bioprocessing; food inspection; horticulture; infrared spectroscopy;     Show all 6 Subjects
Abstract:
... Some of the major processed horticultural commodities subjected to adulteration are powders, edible oils and juices. This review covers the recent application in the field of vibrational spectroscopic techniques (near and mid-infrared spectroscopy, Raman spectroscopy and hyperspectral imaging) for the determination of authenticity and adulteration in processed horticultural products with an emphas ...
DOI:
10.1007/s11947-020-02505-x

12. Botanicals – challenges abound, solutions in sight?

Author:
Schieber, Andreas
Source:
Current opinion in food science 2020 v.32 pp. 144-148
ISSN:
2214-7993
Subject:
adulterated products,   etc   ; drugs; food science;     Show all 3 Subjects
Abstract:
... Plant food supplements have experienced increasing popularity and constitute an economically very important group of products. There is a dangerous misperception by many consumers that ‘plant-derived’ means ‘natural’ and ‘safe’. However, various problems are associated with botanicals, including regulatory issues, the complexity of products, interactions with prescription drugs, potential contamin ...
DOI:
10.1016/j.cofs.2020.07.003

13. Authentication of acacia honey using fluorescence spectroscopy

Author:
Hao, Shengyu; Li, Junya; Liu, Xinying; Yuan, Jie; Yuan, Wenqin; Tian, Yue; Xuan, Hongzhuan
Source:
Food control 2021 v.130 pp. 108327
ISSN:
0956-7135
Subject:
adulterated products,   etc   ; Acacia; Robinia pseudoacacia; fluorescence; fluorescence emission spectroscopy; food safety; honey; wavelengths; China;     Show all 9 Subjects
Abstract:
... The potential of multiple fluorescence spectroscopy detection methods for the authentication of Robinia pseudoacacia L. honey (acacia honey) was evaluated. Fluorescence intensity (excitation wavelength: 280 nm), three-dimensional fluorescence spectra (excitation wavelengths: 200–460 nm; emission wavelengths: 260–560 nm), and fluorescence lifetime were recorded respectively to distinguish acacia ho ...
DOI:
10.1016/j.foodcont.2021.108327

14. Impedimetric sensing of honey adulterated with high fructose corn syrup

Author:
Huang, Ta-Kang; Chuang, Min-Chieh; Kung, Yi; Hsieh, Bo-Chuan
Source:
Food control 2021 v.130 pp. 108326
ISSN:
0956-7135
Subject:
adulterated products,   etc   ; data collection; electrochemistry; food safety; food supply chain; gold; high fructose corn syrup; honey;     Show all 8 Subjects
Abstract:
... Honey adulteration is a highlighted global issue in the modern food supply chain, the most commonly seen case is to cut honey with cheap and easily available sugar-based sweeteners, such as high fructose corn syrup (HFCS). To acquire a precise impedimetric response from such a high resistance sample, a low cell constant (13.9 cm⁻¹) electrochemical chamber composed of two identical bare gold electr ...
DOI:
10.1016/j.foodcont.2021.108326

15. Discovery 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 v.363 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

16. 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

17. Application of Raman spectroscopy in the rapid detection of waste cooking oil

Author:
Jin, Haoquan; Li, Hao; Yin, Zhikang; Zhu, Yingying; Lu, Aimin; Zhao, Di; Li, Chunbao
Source:
Food chemistry 2021 v.362 pp. 130191
ISSN:
0308-8146
Subject:
adulterated products,   etc   ; Raman spectroscopy; food chemistry; heat treatment; olive oil; rapid methods; soybeans; vegetables;     Show all 8 Subjects
Abstract:
... Raman spectra were used to distinguish waste cooking oil from edible vegetable oils. Signals at 869, 969, 1302 and 1080 cm⁻¹ were found to be crucial to distinguish waste cooking oil from five edible oils using PCA. When waste cooking oil was added to soybean or olive oil, PCA could separate adulterated and pure oils, when the adulteration proportions reached 10% and 20%, respectively. Peaks at 96 ...
DOI:
10.1016/j.foodchem.2021.130191

18. The influence of blockchain-based food traceability on retailer choice: The mediating role of trust

Author:
Garaus, Marion; Treiblmaier, Horst
Source:
Food control 2021 v.129 pp. 108082
ISSN:
0956-7135
Subject:
adulterated products,   etc   ; analysis of covariance; blockchain; food fraud; food safety; issues and policy; models; traceability;     Show all 8 Subjects
Abstract:
... In the last decades, numerous food scandals have attracted policy makers' interest and subsequently induced retailers to actively improve food safety. Blockchain technology allows consumers to track the flow of food products and reduce food fraud, such as counterfeiting, dilution, or adulteration. Using three experiments conducted with Austrian business students as well as an online convenience sa ...
DOI:
10.1016/j.foodcont.2021.108082

19. 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

20. Low requirement imaging enables sensitive and robust rice adulteration quantification via transfer learning

Author:
Pradana-López, Sandra; Pérez-Calabuig, Ana M.; Rodrigo, Carlos; Lozano, Miguel A.; Cancilla, John C.; Torrecilla, José S.
Source:
Food control 2021 v.127 pp. 108122
ISSN:
0956-7135
Subject:
adulterated products,   etc   ; accuracy; algorithms; cameras; classification; databases; detection; flour; food safety; rice;     Show all 10 Subjects
Abstract:
... In order to develop a rice adulteration detection system, a deep learning method was implemented to classify simple photographs of five different types of rice. Firstly, the different types of rice were milled and sieved, enabling the imaging of not only grain, but also rice in flour format. Pure rice types as well as mixtures in different percentages (25%, 50%, and 75%) were photographed to build ...
DOI:
10.1016/j.foodcont.2021.108122