Article
Food Science & Technology
Tian-wei Wang, Meng-li Zhang, Na -Na Sun, Hui -Hui Chen, Chong-xiao Zhang, Qian Wang, Wen-zhong Zhang
Summary: To investigate economically motivated food adulteration (EMA) in China, the frequency and/or percentage of EMA parameters from 2000 to 2020 were analyzed. Out of 6477 EMAs collected and evaluated, 69% were identified through supervision and 95.7% were discovered during the sale process. The top areas for EMA were Guangdong, Shandong, and Henan, with the most common fraud methods being illegal addition, substitution or dilution, and unqualified hygiene. Meat, vegetable, and fruit were the most frequently adulterated food types. Strengthening supervision of the production process for these food types is crucial in preventing EMA, considering the adulterating phase, fraud methods, and adulterer types.
QUALITY ASSURANCE AND SAFETY OF CROPS & FOODS
(2023)
Article
Food Science & Technology
Saskia M. van Ruth, Onno Nillesen
Summary: The study found that a company's industry segment has a significant influence on its vulnerability to food fraud, while the effect of business size varies geographically. Businesses involved in animal product supply chains and end of chain nodes are most vulnerable, along with larger businesses and those located in Africa and Asia.
Article
Food Science & Technology
Bharathi Avula, Kumar Katragunta, Sebastian John Adams, Yan-Hong Wang, Amar G. Chittiboyina, Ikhlas A. Khan
Summary: Adulteration of poppy seeds is a common issue, and preventive measures should be taken to ensure food safety. Two independent methods were investigated to effectively distinguish poppy seeds from adulterants, providing a chemical profile for analysis. This can serve as an effective tool to combat ongoing adulteration.
Article
Food Science & Technology
Helen Onyeaka, Michael Ukwuru, Christian Anumudu, Amarachukwu Anyogu
Summary: The article examines food fraud in the African context, with a focus on the impact of the COVID-19 pandemic. It provides examples of food fraud and highlights the challenges faced by consumers, industry, and regulators in combating food fraud. The article also offers recommendations for researchers and policymakers to reduce fraud and improve the quality and safety of food along the supply chain.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Chemistry, Applied
Hong You, Haley Gershon, Florencia Goren, Fei Xue, Traci Kantowski, Len Monheit
Summary: Turmeric has authenticity issues due to economic adulterations to reduce costs. Using carbon-14 and HPLC analyses as complementary methods, a significant correlation between the percentage of curcumin-to-curcuminoids and % biobased carbon was found, indicating synthetic curcumin greatly attributed to determined synthetic ingredients. Only four out of 14 samples supported authentic label claims, showing the potential of this testing strategy for quality control of turmeric products.
Article
Chemistry, Analytical
Rahul Jamwal, Amit, Shivani Kumari, Simon Kelly, Andrew Cannavan, Dileep Kumar Singh
Summary: The study analyzed the adulteration of mustard oil with linseed oil using ATR-FTIR spectroscopy, and found that PCA and LDA could accurately classify adulterated samples, while PCR and PLSR were able to predict adulterated samples, providing an effective method for detecting adulteration.
VIBRATIONAL SPECTROSCOPY
(2021)
Article
Food Science & Technology
Zhi-Ming Huang, Jia-Xiang Xin, Shan-Shan Sun, Yi Li, Da-Xiu Wei, Jing Zhu, Xue-Lu Wang, Jiachen Wang, Ye-Feng Yao
Summary: This study developed a novel, simple, accurate, and rapid identification approach for detecting adulteration in edible vegetable oils using magnetic resonance relaxation fingerprints obtained from low-field nuclear magnetic resonance spectroscopy measurements. The relaxation fingerprints were unique to each type of oil, allowing for individual oil identification. Principal component analysis was used to create a three-dimensional characteristic coordination system for oil discrimination and adulteration identification. The method showed great potential for both identifying and quantifying edible oil adulteration.
Article
Engineering, Multidisciplinary
Cuixai Wang, Yurong Liang
Summary: This paper builds a three-party regulatory game model to study how to reduce the economically motivated adulteration (EMA) behavior of fresh agricultural product suppliers. The study finds that establishing a complete reward and punishment mechanism, increasing adulteration penalties and improving detection methods, and strengthening penalties for inspection failures are effective ways to reduce EMA behavior.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Article
Behavioral Sciences
Daniela Craveiro, Sibila Marques, Iva Zverinova, Vojtech Maca, Milan Scasny, Aline Chiabai, Cristina Suarez, Pablo Martinez-Juarez, Silvestre Garcia de Jalon, Sonia Quiroga, Timothy Taylor
Summary: The majority of Europeans do not meet the health recommendations for fruit and vegetable consumption, especially those with lower levels of education. A higher level of education is associated with a greater likelihood of consuming at least 5 portions of fruits and vegetables per day. While there are significant differences among European countries in terms of compliance with the recommendation, there is not a significant variation in relative education differentials.
Article
Biotechnology & Applied Microbiology
William Limm, Sanjeewa R. Karunathilaka, Magdi M. Mossoba
Summary: This study developed a rapid screening tool to detect potential rice or corn syrup adulteration in honey using Fourier-Transform infrared spectroscopy (FTIR) and chemometrics. A single-class soft independent modeling of class analogy (SIMCA) model was developed and validated using a diverse set of commercial honey products and authentic honey samples. The model showed high accuracy in predicting the presence of rice and corn syrup adulterants in honey, with classification rates of 97.6% and 94.8% respectively.
JOURNAL OF FOOD PROTECTION
(2023)
Article
Food Science & Technology
Willis Gwenzi, Zakio Makuvara, Jerikias Marumure, Tinoziva T. Simbanegavi, Sabastian S. Mukonza, Nhamo Chaukura
Summary: This paper is the first comprehensive review discussing the drivers, practices, human health risks, detection methods, mitigation, and future directions of food fraud in low-income countries (LICs). The study used quantitative and qualitative methods to analyze a large body of evidence on food fraud in LICs. The findings highlight weak regulations and enforcement, lack of effective surveillance systems, economic constraints, and high demand as key drivers of food fraud in LICs. The paper also discusses food fraud detection methods, human health risks, and proposes a mitigation strategy for addressing food fraud in LICs.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2023)
Article
Food Science & Technology
Ewelina Bigoraj, Iwona Kozyra, Agnieszka Kaupke, Zbigniew Osinski, James Lowther, Artur Rzezutka
Summary: The aim of this study was to assess the prevalence of human enteric viruses in mussels sold on the Polish market and study the fecal contamination of shellfish. The study found that human enteric viruses were commonly present in shellfish, with norovirus being the most frequently detected. The study also observed a seasonal distribution pattern of viruses in shellfish samples.
Editorial Material
Food Science & Technology
Bojan Blagojevic, Lis Alban Denmark
Article
Food Science & Technology
Indy Magnus, Fatemeh Abbasi, Hugo Thienpont, Lien Smeesters
Summary: Food safety and quality are increasingly important in our society, driving the development of novel optical food sensing technologies. However, current optical sensing technologies are often limited in their sensitivity and product variability. In this study, we developed a novel pistachio nut screening methodology using fluorescence spectroscopy and advanced chemometrics to simultaneously detect shells, tree parts, and aflatoxins. By optimizing hardware and software parameters, we achieved a high classification accuracy for healthy pistachio kernels.
Article
Food Science & Technology
Xiaodong Wang, Jingqiang Yu, Haixia Wu, Leiying Wu, Wuyunga Borjihan, Cong Wang, Munkhjargal Burenjargal, Alideertu Dong
Summary: This study developed a novel photon-phonon coupling (PPC) cold sterilization technology and compared its effects with low-temperature pasteurization and microwave ultraviolet. The results showed that PPC effectively reduced bacterial count in raw milk with minimal impact on milk quality and nutritional composition.
Review
Food Science & Technology
Riyadh Abdulmalek Hassan, Sharina Abu Hanifah, Lee Yook Heng, Fawaz Al-badaii, Alizar Ulianas
Summary: This study used bibliometric visualisation map analysis to explore the publication outputs, trends, and hotspots for endocrine disruptors (EDMs) biosensor development in relation to mycotoxins. The analysis showed that the current literature primarily focuses on developing biosensors for detecting highly toxic and widely distributed mycotoxins in food, but there needs to be more focus on biosensors for detecting mycotoxins known as endocrine disruptors.
Article
Food Science & Technology
Yajie Zheng, Jianpeng Dou, Changpo Sun, Hujun Liu, Shipei Zhang, Wenfu Wu
Summary: This study investigated the efficiency of modified SA/ll-glucan/Mt microsphere adsorbents in removing DON and ZEN from CSL. The microspheres showed high adsorption capacity, and simple and rapid regeneration was achieved without affecting the removal efficiency of mycotoxins from CSL.
Article
Food Science & Technology
Carlos Adelantado, Jose Angel Salatti-Dorado, Carlos Herrera, Lourdes Arce, Maria Jose Cardador
Summary: High-performance-ion mobility spectrometry (HPIMS) was used for the first time in the analysis of olive oil samples, following a simple liquid-liquid extraction procedure. The developed methodology is user-friendly, fast, and inexpensive, complying with the principles of green chemistry. The proposed approach, combined with multivariate analysis, showed potential in classifying olive oil samples based on their organoleptic quality, with high accuracy rates.
Article
Food Science & Technology
Jia-Wen Wei, Jia-Rong He, Shi-Yi Chen, Yi-Han Guo, Xuan-Zhu Huo, Nuan Zheng, Shuo-Hui Cao, Yao-Qun Li
Summary: Polycyclic aromatic hydrocarbons (PAHs) are a major cause of human cancer. This study developed a quantitative analysis method for PAH4 using the back propagation neural network (BPNN) algorithm and constant wavelength synchronous fluorescence (CWSF) spectra as the data sets. The method can predict the concentrations of PAH4 in edible oil samples without preprocessing or pre-separation. It has been proven to be a powerful tool for the rapid detection of PAH4.
Article
Food Science & Technology
Liyun Chen, Xiumei Li, Jingyi Chen, Ranxun Lin, Yuhan Mai, Yuxin Lin, Guodong Wang, Zheng Chen, Wei Zhang, Jiang Wang, Cai Yuan, Longguang Jiang, Peng Xu, Mingdong Huang
Summary: Food spoilage is primarily caused by microbial contamination. Curcumin has shown moderate antimicrobial activity as a food preservative. This study formulates curcumin with zinc acetate to enhance its efficacy, resulting in Cur-Zn with increased antimicrobial activity against multiple food-contaminating bacteria and fungi. With light illumination, the antimicrobial activity of Cur-Zn is further enhanced due to the photodynamic inactivation (PDI) effect.
Article
Food Science & Technology
Marta Pilar Ortiz-Moriano, Gonzalo Machado-Schiaffino, Eva Garcia-Vazquez, Alba Ardura
Summary: Mislabelling in the global fisheries sector raises concerns about the identity, safety, and sustainability of seafood products. This study examined mislabelling in shrimps and prawns sold in the Spanish market and assessed potential risks of heavy metal ingestion.
Article
Food Science & Technology
Doyeon Kim, Jinwoo Kim, Minsik Kim
Summary: This study demonstrates the enhanced bactericidal activity of engineered lysins fused with amphipathic antimicrobial peptides against Gram-negative bacterium Cronobacter sakazakii. The fusion lysins are capable of disrupting bacterial cells and significantly reducing the risk of infection within a certain range of temperature and pH. Additionally, the study also shows the bactericidal effect of these fusion lysins against other Gram-negative pathogens.
Article
Food Science & Technology
Seul-Ki Park, Kyung-Jin Cho, Du-Min Jo, Young-Mog Kim
Summary: This study presents a new approach for detecting pathogenic Vibrio spp. in contaminated seafood, which combines PCR with a simplified DNA extraction process and pre-culturing step. The method has been validated and shown to be efficient, time-saving, and highly sensitive, offering a potential alternative for improving safety measures in the food industry.
Article
Food Science & Technology
Suwimol Surareungchai, Chaleeda Borompichaichartkul, Chitsiri Rachtanapun, Nutthachai Pongprasert, Pongphen Jitareerat, Varit Srilaong
Summary: This study builds upon previous research and focuses on risk assessment and analysis in the organic salad industry. The results show that previous risk matrix models can be adapted for various raw materials, and preventive control plans can be applied across different aspects of the production process.
Article
Food Science & Technology
Xuan Zhang, Changling Fang, Xiaoyi Lou, Feng Han, Siman Li, Yongfu Shi, Dongmei Huang
Summary: This study aimed to assess the levels of Biogenic amines (BAs) in four common food types in the Chinese market. It was found that cheese and seafood derived product showed higher levels of BAs, and the histamine level in mackerel and yellow rice wine exceeded the limits.
Article
Food Science & Technology
Martina Foschi, Alessandra Biancolillo, Federico Marini, Francesco Cosentino, Francesca Di Donato, Angelo Antonio D'Archivio
Summary: This study aimed to develop a potentially non-destructive and routine-compatible method for the geographical traceability of high-valued Italian chickpeas. By analyzing the spectral information of the outer and inner parts of the kernels, it was found that the spectral analysis of the outer part yielded accurate and reliable results, indicating the possibility of non-destructive authentication.