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.