Article
Soil Science
Olivier S. Humphrey, Mark Cave, Elliott M. Hamilton, Odipo Osano, Diana Menya, Michael J. Watts
Summary: Digital soil mapping techniques using machine learning algorithms have been used to predict the spatial distribution of soil properties. In this study, a random forest model was applied to predict the concentration of chemical elements and assess prediction uncertainty. The results showed that the inclusion of ancillary environmental data improved model performance for all soil properties.
Article
Food Science & Technology
Runhong Mo, Yuewen Zheng, Zhanglin Ni, Danyu Shen, Yihua Liu
Summary: This study conducted a new method for geographical origin identification of walnuts based on the nutritional quality of walnuts from China. Through analyzing walnut samples from different regions, a discriminant model for geographical origin with a high correct classification rate was established. The study also analyzed the quantitative quality differences of walnuts from different regions and identified important chemical markers for geographical origin discriminant analysis.
FOOD QUALITY AND SAFETY
(2022)
Article
Food Science & Technology
Runhong Mo, Yuewen Zheng, Zhanglin Ni, Danyu Shen, Yihua Liu
Summary: This study conducted a reliable geographical origin identification model based on the nutritional quality of walnut samples, analyzing phytochemical components to efficiently and accurately differentiate walnuts from different regions in China. It provides a useful method for food authentication.
FOOD QUALITY AND SAFETY
(2022)
Article
Chemistry, Applied
Quynh Phan, Elizabeth Tomasino
Summary: This study utilized an advanced lipidomic profiling approach to analyze commercial Pinot noir wines, revealing that wine lipids have a strong potential for classifying wines by origin, with the top 58 lipids playing a significant role in discrimination.
Article
Food Science & Technology
Wenwen Liu, Yan Chen, Ruoxin Liao, Jie Zhao, Hui Yang, Fuhua Wang
Summary: Analyzing stable isotopes and mineral elements can accurately determine the origin of Guizhou green tea, with higher 82H and 818O values found in green tea from Hubei and noticeable regional differences in mineral element contents reflecting soil and climate variations. Advanced statistical analysis methods like LDA and OPLS-DA demonstrate high accuracy in identifying the geographical origins of green tea samples.
Article
Spectroscopy
Sheng Gong, Juanru Liu, Yushi Liu, Ya'ning Zhu, Chenjuan Zeng, Cheng Peng, Yiping Guo, Li Guo
Summary: Reliable origin certification methods are crucial for protecting high-value medicinal materials and geographical indication products. Accurately identifying the origins of Aconiti Lateralis Radix Praeparata (Fuzi) is difficult and traditional experience is not reliable. Infrared spectroscopy integrated with machine learning provides a new approach for quality control of traditional Chinese medicines.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Spectroscopy
Ying Liu, Junlan Huang, Menghui Li, Yuyu Chen, Qingqing Cui, Chengye Lu, Yujie Wang, Luqing Li, Ze Xu, Yingfu Zhong, Jingming Ning
Summary: This study investigated the feasibility of using NIR-HSI and chemometrics for the identification of green tea, achieving high accuracies in predicting the geographical origin and processing month of green tea. The study demonstrated the potential of HSI technology in the identification of green tea species, providing a rapid and nondestructive method for evaluating and controlling green tea quality.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Green & Sustainable Science & Technology
Chongchong Qi, Mengting Wu, Xinhang Xu, Qiusong Chen
Summary: Solid ashes are a major environmental problem worldwide, and their efficient recycling requires accurate origin information. In this study, a machine learning-based ash origin detection system was developed using a diverse dataset of 310 solid ash samples from different origins. The system achieved high accuracy in predicting the origins of solid ashes, even without expert knowledge of the operating conditions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Food Science & Technology
George P. Danezis, Constantinos A. Georgiou
Summary: This study presents the application of elemental metabolomics in determining geographical origin and the process of elemental transportation to food. The study provides guidelines and pitfalls and highlights the importance of studying ultra trace elements and isotope ratios of heavy elements. High resolution inductively coupled plasma mass spectrometry is expected to be important in the future. Furthermore, the study indicates the complexity of the link between soil-plants-animal products and the need to consider food processing steps, seasonality, climate, pollution, contact materials, and organism's age in future research.
CURRENT OPINION IN FOOD SCIENCE
(2022)
Article
Food Science & Technology
Hui-Wen Gu, Xiao-Li Yin, Tian-Qin Peng, Yuan Pan, Hui-Na Cui, Zhi-Quan Li, Weiqing Sun, Baomiao Ding, Xian-Chun Hu, Zi-Hong Zhang, Zhi Liu
Summary: This study proposes a novel two-dimensional fingerprinting method using HPLC-DAD to identify the geographical origins of Chinese green teas. Through multivariate curve resolution and orthogonal partial least squares-discriminant analysis, characteristic components were identified as chemical markers to distinguish between different tea origins.
Article
Food Science & Technology
Quan Nguyen Minh, Quoc Dat Lai, Hoang Nguy Minh, Minh Tu Tran Kieu, Ngoc Lam Gia, Uyen Le, My Phung Hang, Hoang Dung Nguyen, Tran Diem Ai Chau, Ngoc Thuc Trinh Doan
Summary: This study investigates the use of near-infrared spectroscopy (NIRS) for the authentication of agricultural resources, specifically green coffee beans. The results show that NIRS has great potential in accurately predicting coffee species and geographical indication.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Food Science & Technology
Tianhong Pan, Ru Yan, Qi Chen
Summary: This study proposes a method to estimate the geographical origin of Taiping Houkui tea using chemometrics and statistical analysis. By detecting metal ions in the tea and screening key variables, the origin of the tea can be effectively identified. This research is of great significance for eliminating adulteration in tea and guaranteeing consumer interests.
FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Applied
Mahnaz Esteki, Neda Memarbashi, Jesus Simal-Gandara
Summary: The potential of FT-IR spectra in classifying tea samples based on geographical origins was examined. Different pattern recognition methods, including PCA, PCA-LDA and PLS-DA, were investigated to achieve discrimination of tea samples. The results demonstrated that FT-IR spectral fingerprinting combined with pattern recognition methods can be employed as an effective and feasible method for classification of Iranian tea based on their geographical origins.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Multidisciplinary Sciences
Ying Liu, Peiyu Wang, Yong Li, Lixia Wen, Xiaochao Deng
Summary: With the use of the random forest algorithm, this study developed an air quality prediction model for Zhangdian District, considering industrial waste gas emissions and meteorological factors. The model showed improved prediction performance and allowed for obtaining daily emission limits through model inversion to maintain good air quality.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Md Nasim Adnan, Ryan H. L. Ip, Michael Bewong, Md Zahidul Islam
Summary: The proposed decision forest algorithm in this paper achieves better balance through effective synchronization of diversity from different sources, leading to significant improvement in accuracy according to empirical evaluations. It is also competitive in terms of complexity and other relevant parameters.
INFORMATION SCIENCES
(2021)
Article
Chemistry, Applied
Wei Xia, Chunlin Li, Jing Nie, Shengzhi Shao, Karyne M. Rogers, Yongzhi Zhang, Zuguang Li, Yuwei Yuan
Summary: The study revealed that the isotopic composition of tea leaves varied under different light and temperature conditions, with a negative correlation observed between isotopes and photosynthetic parameters. This finding provides new insights for predicting tea isotope responses to subtle seasonal or climate change conditions.
Article
Geochemistry & Geophysics
Karyne M. Rogers, Adam P. Martin, Giovanni Pradel, Yuwei Yuan, Yongzhi Zhang, Rose E. Turnbull
Summary: A regional soil study in the Marlborough region of New Zealand characterized the geochemical baselines of different land-use types using stable isotopes and elements. The study focused on vineyard soils and found higher levels of certain elements and isotopes compared to forested and rural soils. The research also identified distinct natural geogenic inputs and compared the findings with urban and rural soils in other parts of New Zealand.
APPLIED GEOCHEMISTRY
(2022)
Article
Chemistry, Applied
Hao Wu, Xiuwen Zhou, Haiquan Chen, Baohui Jin, Zhi Yan, Liqi Xie, Haichao Zhou, Karyne M. Rogers, Guanghui Lin
Summary: This study investigates the adulteration of NFC juice by analyzing the carbon and oxygen stable isotope ratios of different juice components. The results indicate that fruit pulp can qualitatively and quantitatively indicate the presence of added sugars, and stable isotope technology is a useful tool for detecting adulteration in-market NFC juice.
Article
Ecology
Priscilla M. Wehi, Karyne M. Rogers, Tim Jowett, Amandine J. M. Sabadel
Summary: This study investigates the feather stable isotope values in kea populations in New Zealand and finds a lower trophic position in modern kea populations, reflecting reduced lowland habitat and a mixed diet with more plant material. The study also identifies size and sex as factors influencing trophic values in kea, with larger birds more likely to have a high protein diet. The findings suggest potential changes in ecological networks and sexually dimorphic feeding patterns within kea species.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Chemistry, Applied
Li Bin, Cheng Wang, Zhi Liu, Weizhong He, Duoyong Zhao, Ying-ying Fang, Ying Li, Zihong Zhang, Piao Chen, Wei Liu, Karyne M. Rogers
Summary: The geographical origin of Xinjiang muskmelon was investigated using stable isotopes and multi-element analyses. A linear discriminant analysis model was developed to classify the muskmelon from different geographical production regions in Xinjiang. This method is significant for combating origin mislabeling of Hami PGI muskmelons and ensuring the integrity of food.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Chemistry, Applied
Baohui Jin, Xiuwen Zhou, Karyne M. M. Rogers, Bingqing Yi, Xuehai Bian, Zhi Yan, Haiquan Chen, Haichao Zhou, Liqi Xie, Guanghui Lin, Hao Wu
Summary: Stable isotopes combined with chemometrics methods can distinguish fresh milk from reconstituted milk. Nitrogen stable isotopes are also useful for detecting extraneous nitrogen additives in milk.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Geochemistry & Geophysics
A. P. Martin, C. Lim, M. Kah, M. S. Rattenbury, K. M. Rogers, E. L. Sharp, R. E. Turnbull
Summary: Soil chemistry is influenced by environmental conditions, parent material and human activities. Cities built on volcanic rock, like Auckland, have unique and important soil characteristics. This study analyzed the geochemical properties of urban soils in Auckland and found that volcanic parent material and C4 grasses significantly influenced the soil composition. Metal contamination in urban soils was associated with anthropogenic sources, such as leaded paint, industrialization, and pesticide residues. Comparison with other urban areas built on volcanic rock or non-volcanic substrates showed that the duration of urbanization and the age and quality of housing are important factors in soil pollution. Cities like Auckland and Naples have elevated levels of certain elements in their soils compared to cities with non-volcanic substrates, such as Arica.
APPLIED GEOCHEMISTRY
(2023)
Review
Chemistry, Applied
Chunlin Li, Xuming Kang, Jing Nie, An Li, Mohamed A. Farag, Cuiling Liu, Karyne M. Rogers, Jianbo Xiao, Yuwei Yuan
Summary: Over the last decade, isotope ratio mass spectrometry (IRMS) using multiple light stable isotopes has been widely applied in China for food origin verification and authentication. It has successfully characterized and identified Chinese food products, reducing fraud, improving food safety, and enhancing consumer trust and government regulatory policies.
Article
Engineering, Civil
Karyne M. Rogers, Rob van der Raaij, Andy Phillips, Mike Stewart
Summary: A national survey in New Zealand uses nitrogen and oxygen isotopes to identify the extent and sources of nitrates in freshwater resources. The study investigates the impact of various factors on nitrate isotopes and finds that nitrate contamination is a significant threat to drinking water resources in New Zealand. Groundwater has higher nitrate concentrations compared to surface water, and the unique farming practices in New Zealand contribute to the nitrate pollution.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Hao Wu, Haiquan Chen, Bingqing Yi, Karyne M. Rogers, Xuehai Bian, Ni Lin, Xiuwen Zhou, Baohui Jin, Zhi Yan, Haichao Zhou
Summary: This study comprehensively analyzed 96 bottled mineral water samples from different origins including China, France, Italy, New Zealand, and Fiji. By investigating various factors such as dissolved inorganic carbon, water isotopes, mineral elements, and ions, the researchers were able to trace the origin of the mineral water. The results showed significant variations in the composition of mineral water from different regions, and statistical models were successful in accurately distinguishing the origins of the water samples.
JOURNAL OF HYDROLOGY
(2023)
Article
Food Science & Technology
Karyne M. Rogers, Andy Phillips, Joan Fitzgerald, Pam Rogers, Jannine Cooper, Andrew J. Pearson, Jing Nie, Zhi Liu, Yongzhi Zhang, Shengzhi Shao, Yuwei Yuan
Summary: Stable isotopes were used to characterize samples of New Zealand butter and accurately distinguish it from butter of other origins. The unique isotope signatures of New Zealand butter allowed it to be differentiated from Australian and Irish butter, but not completely from them. Stable isotopes offer a reliable tool to identify mislabeled New Zealand butter in key international export markets.
INTERNATIONAL DAIRY JOURNAL
(2023)
Article
Chemistry, Applied
Tingting Song, Zhenzhen Xia, Cuiling Liu, Jing Nie, Youxiang Zhou, Syed Abdul Wadood, Yongzhi Zhang, Chunlin Li, Karyne M. Rogers, Yuwei Yuan
Summary: Geographical origin discrimination of Shiitake mushrooms is important for food safety and fair trade. Stable isotopes and elemental contents were used to analyze samples from three major production regions in China, and significant differences were found among the regions.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Analytical
Hanyi Mei, Jing Nie, Shu Wang, Yongzhi Zhang, Chunlin Li, Shengzhi Shao, Shanshan Shao, Karyne M. Rogers, Yuwei Yuan
Summary: This study successfully achieved the geographical identification of Hangbaiju by using stable isotopes and multivariate statistical analysis. The results showed significant differences in stable isotopic compositions among different producing regions of Hangbaiju, as well as significant isotopic variations at different growth stages.
Review
Green & Sustainable Science & Technology
Lucjan Sajkowski, Rose Turnbull, Karyne Rogers
Summary: This study compiles publicly available datasets on the chemical composition of geothermal fluids from wells in the Taupo Volcanic Zone (TVZ) and Ngawha, New Zealand. The combined data provide a new perspective on geothermal reservoir water compositions in the TVZ and Ngawha, enabling assessment and comparison. These findings are valuable for future research projects and investment opportunities. Additionally, the study estimates the annual flux of critical elements in New Zealand's geothermal systems, with economically extractable quantities present.
Article
Agriculture, Multidisciplinary
Yuchen Meng, Baohui Jin, Karyne M. Rogers, Haichao Zhou, Xin Song, Yihui Zhang, Guanghui Lin, Hao Wu
Summary: This study examined water isotope fractionation models in different grapevine tissues and organs in the Helan Mountains, a major wine-producing area in northwestern China. The results indicated that the d(2)H values of local groundwater sources were more negative, while rivers and precipitation had higher values. Soil water had significantly higher d(2)H and d(18)O values compared to other environmental water sources. The study also found that O-18/16 fractionation in grapes is more likely to occur under drought conditions, which has implications for traceability accuracy and origin protection in wine production areas.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(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.