Review
Chemistry, Physical
Wenwen Hu, Weiwei Wu, Yingying Jian, Hossam Haick, Guangjian Zhang, Yun Qian, Miaomiao Yuan, Mingshui Yao
Summary: This review article critically considers and summarizes the volatolomics in healthcare, clarifying the relationship between the volatolome and specific diseases and introducing analytical instruments and advanced detection technologies.
Article
Food Science & Technology
Weifang Yang, Youyou Yang, Liang Wang, Xueze Lv, Jing Li, Huanxian Cui, Chaohua Tang, Qingyu Zhao, Yaxiong Jia, Yuchang Qin, Junmin Zhang
Summary: This study identified and compared volatile compounds in Taihe black-boned silky fowl (TS) and Hy-line Brown (HL) egg yolks using gas chromatography-olfactometry-mass spectrometry-based volatilomics. The results showed significant differences in flavor compounds between the egg yolks from the two breeds, with TS egg yolks having a stronger overall odor and flavor. Metabolomic and lipidomic analyses revealed differences in metabolites, lipids, and fatty acid profiles, providing insights into the underlying mechanisms of aroma characteristics.
FOOD RESEARCH INTERNATIONAL
(2023)
Article
Entomology
Jixiang Zhang, Bo Zhang, Jingyuan Dong, Yanyan Tian, Yingxue Lin, Guozhen Fang, Shuo Wang
Summary: Using Japonica rice as an example, this study developed a strategy for early warning and analysis of grain mildew by analyzing volatile substances produced during the mildewing process with an electronic nose. The study found that the E-nose combined with GC/MS was effective in the early detection of mould contamination in Japonica rice.
JOURNAL OF STORED PRODUCTS RESEARCH
(2022)
Article
Food Science & Technology
Yongjie Mi, Zhenhua Wang, Lina Guan, Min Zhang, Sixuan Li, Guodong Ye, Xin Ren, Shan Liang
Summary: The volatile compounds of 21 kinds of japonica rice porridges from Northeast China were analyzed using electronic nose and HS-SPME-GC-MS techniques. Different varieties of rice porridges had distinct aromas, and principal component analysis effectively distinguished between them. A total of 69 volatile compounds were identified, and the key aroma compounds of japonica rice porridge were determined to provide a theoretical basis for selecting rice raw materials in the industry.
JOURNAL OF CEREAL SCIENCE
(2023)
Article
Biophysics
Ziyu Gan, Qin'an Zhou, Chengyu Zheng, Jun Wang
Summary: Biotic and abiotic stresses increase the emission of volatile organic compounds (VOCs) from plants. VOCs analysis enables timely diagnosis of plant diseases for sustainable agriculture. Recent advancements in nanomaterials research have contributed to the development of novel VOCs sensors with high sensitivity and selectivity. This review discusses VOCs monitoring technologies for plant diseases diagnosis, emphasizing on custom-made VOCs sensors and addressing challenges for future improvements.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Jia-Ying Wang, Qing-Hao Meng, Xing-Wei Jin, Zhe-Hua Sun
Summary: This study proposed seven design schemes of handheld e-nose bionic chamber for liquor recognition, inspired by the structural characteristics of mammalian nasal cavity. Through fluid dynamics simulation, the selected bionic chamber was found to have higher recognition rate in identification experiments of six liquors when compared with an ordinary square gas chamber.
Article
Environmental Sciences
Javier Burgues, Silvia Donate, Maria Deseada Esclapez, Lidia Sauco, Santiago Marco
Summary: This study proposes a method to monitor and map odor emissions from wastewater treatment plants using a small drone equipped with a lightweight electronic nose. The drone analyzes air samples in real-time using an array of gas sensors and machine learning algorithms. The feasibility of the proposed system is demonstrated through measurement campaigns in a WWTP in Spain. The comparison of electronic nose predictions with dynamic olfactometry measurements shows a negligible bias and 95% limits of agreement within a factor of four.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agriculture, Multidisciplinary
Jie Chen, Qin Liu, Longyu Yuan, Wenzhong Shen, Qingxing Shi, Guojun Qi, Ting Chen, Zhenfei Zhang
Summary: In this study, it was found that osa-miR162a is induced in response to BPH attack in rice. This miRNA regulates rice resistance to the BPH by affecting the alpha-linolenic acid metabolism pathway. Overexpression of osa-miR162a inhibits the development and growth of BPH, while knockdown of the target gene OsDCL1 enhances resistance to the pest. This study reveals a novel defense mechanism mediated by plant miRNAs and provides new insights into pest control.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2023)
Review
Chemistry, Analytical
Samantha MacDougall, Fatih Bayansal, Ali Ahmadi
Summary: Surveillance and management of the spread of plant pests and diseases are crucial for protecting crops and ecosystems. Traditional detection methods are expensive and require expertise, so there is a need for inexpensive and user-friendly options. Gas-sensing technologies that detect volatile organic compounds released by plants offer a potential solution, but there are challenges such as environmental factors and lack of research on field conditions.
Article
Engineering, Electrical & Electronic
Jia Yan, Biao Wu, Tao Liu, Feiyue Chen, Shukai Dua
Summary: This article proposes a bionic olfactory signal processing (BOSP) network based on a spiking neural network (SNN) to address the cumbersome and experience-dependent traditional feature extraction methods in electronic nose (E-nose) systems. The network consists of a virtual olfactory receptor (VOR) layer and a bionic olfactory bulb (BOB) layer, which convert sensor response signals into spike sequences and extract spatiotemporal features from them, respectively. The BOSP network automatically extracts useful features from the sensor array outputs without traditional feature extraction steps and can be combined with various classifiers, demonstrating superior feature extraction capability and shift suppression ability.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Chemical
Xingyu Zhou, Jinghu Yu, Shanhua Qian, Yuyao Chen
Summary: This study created a novel in-vitro detection method for food aroma release by combining a bionic chewing robot with an electronic nose odor analyzer. The results showed that cocoa content had a more significant effect on aroma release than gelatin content, and the controlled chewing parameters influenced aroma release differently. A regression model between aroma release value and chewing parameters was established with a goodness of fit of approximately 96.6%.
JOURNAL OF FOOD ENGINEERING
(2023)
Article
Food Science & Technology
Zhouliang Sun, Qingyun Lyu, Lei Chen, Kun Zhuang, Guozhen Wang, Wenping Ding, Yuehui Wang, Xi Chen
Summary: This study used HS-GC-IMS and PCA to analyze the volatile flavor compounds in brown rice flour and brown rice noodles prepared by different methods. The results showed significant differences in volatile flavor compounds between brown rice flour and brown rice noodles, with more types of volatile flavor compounds found in brown rice flour. Extrusion was found to be a promising method for fabricating brown rice flour with satisfactory flavor preservation.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Marylou Mantel, Arnaud Fournel, Ines Staedle, Annegret Oelschlaegel, Jeanne Carro, Romain Dubreuil, Cyril Herrier, Thierry Livache, Antje Haehner, Thomas Hummel, Jean-Michel Roy, Moustafa Bensafi
Summary: This study utilizes a bio-inspired surface resonance plasmon electronic nose (e-nose) to investigate the model of olfactory receptors interactions, demonstrating a relationship between the e-nose space and both measures of perception for odorants eliciting homogenous responses among the subjects.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Biochemistry & Molecular Biology
Ali Khorramifar, Mansour Rasekh, Hamed Karami, James A. Covington, Sayed M. Derakhshani, Jose Ramos, Marek Gancarz
Summary: This study investigated five potato varieties using an electronic nose and chemometric methods, measuring various parameters and establishing regression models. The results indicated specific relationships among different potato varieties, sugar, and carbohydrates. The accuracy in predicting sugar and carbohydrates varied among different potato varieties.
Review
Chemistry, Analytical
Alishba T. John, Krishnan Murugappan, David R. Nisbet, Antonio Tricoli
Summary: Electonic noses, relying on an array of chemical gas sensors, are used for identifying various compounds, particularly in the food industry and environmental monitoring. Advances in nanofabrication, sensor design, neural networks, and system integration have improved their efficacy. Commercial and custom Enoses face challenges in wider adoption and use across different applications.
Article
Chemistry, Multidisciplinary
Xiaopeng Sun, Sai Xu, Huazhong Lu
APPLIED SCIENCES-BASEL
(2020)
Article
Chemistry, Analytical
Sai Xu, Huazhong Lu, Christopher Ference, Guangjun Qiu, Xin Liang
Article
Geochemistry & Geophysics
Xiang Li, Sai Xu, Youzhi Hao, Daolun Li, Detang Lu
Article
Computer Science, Information Systems
Sai Xu, Huazhong Lu, Christopher Ference, Qianqian Zhang
Summary: The study found an efficient method for measuring the total soluble solid content (TSSC) and water content of Luogang orange by comparing and investigating various detection tools and data processing methods. The optimized method significantly improved the internal quality detection accuracy of Luogang orange and can be a reference for improving the accuracy of internal quality detection of other fruits.
Article
Horticulture
Sai Xu, Huazhong Lu, Xu Wang, Christopher M. Ference, Xin Liang, Guangjun Qiu
Summary: This research developed a spectroscopy method for detecting TSS content and acidity of pomelo, using signal processing and deep learning combined with modeling detection to achieve accurate step-by-step detection. The optimal light intensity, signal processing, and algorithms play a crucial role in the detection results.
Article
Environmental Sciences
Kai Xu, Wei Wei, Yin Chen, Haitao Tian, Sai Xu, Jianchao Cai
Summary: The study found that throat size has a significant impact on rock permeability, with permeability decreasing significantly when one of the nine throats reduces to half size. Compared to pore coordination number, small throat size has a more obvious influence on permeability.
Article
Geosciences, Multidisciplinary
Sai Xu, Zhengming Yang, Songtao Wu, Lei Wang, Wei Wei, Feng Yang, Jianchao Cai
Summary: Pore structure is a critical factor influencing the physical properties of oil and gas reservoirs, and it varies greatly with the reservoir rock type. This study analyzed the pore structures of shale and sandstone using low-pressure nitrogen adsorption experiments and fractal theory. The results showed significant differences in pore shape, distribution, specific surface area, and pore size between shale and sandstone. Fractal dimensions were found to be important parameters in characterizing the pore structure. The study highlights the usefulness of fractal theory in characterizing unconventional reservoirs.
NATURAL RESOURCES RESEARCH
(2022)
Article
Agronomy
Sai Xu, Jinchang Ren, Huazhong Lu, Xu Wang, Xiuxiu Sun, Xin Liang
Summary: A platform based on visible and near infrared spectrum was proposed for optimized detection of pineapple translucency. Through the application of various spectral settings, data processing, and model establishment methods, effective detection of pineapple translucency was achieved.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2022)
Article
Food Science & Technology
Yi Xu, Anastasios Koidis, Xingguo Tian, Sai Xu, Xiaoyan Xu, Xiaoqun Wei, Aimin Jiang, Hongtao Lei
Summary: In this study, a Bayesian-based decision fusion technique was developed to identify codfish using near infrared and Raman spectroscopy. The Bayesian model showed significantly better classification performance compared to other spectroscopic methods and data fusion methods.
Article
Energy & Fuels
Sai Xu, Yuxuan Xia, Mingjing Lu, Wei Wei, Lei Wang, Jianchao Cai
Summary: Adding acid to fracturing fluids has potential to improve the stimulated reservoir volume of shale reservoirs. This study evaluates the effects of acid-rock interaction on shale pore structure using fractal parameters. The results show that the surface fractal dimension decreases while the micropore fractal dimension increases for both shales after the acid-rock interaction. The lacunarity increases and the pore structure becomes more heterogeneous. The increased succolarity indicates improved pore structure connectivity. The complementary effects of fractal dimension, lacunarity, and succolarity help understand the changes in shale pore structure during complicated physicochemical reactions.
Article
Food Science & Technology
Sai Xu, Huazhong Lu, Changxiang Fan, Guangjun Qiu, Christopher Ference, Xin Liang, Jian Peng
Summary: This study proposes a visible and near-infrared (VIS/NIR) hyperspectral imaging method to quickly and intelligently detect parasites in sashimi. The research results show that the VIS/NIR spectrums for fish meat and parasite images were different at certain wavelengths. The synthesis between a probabilistic neural network (PNN) and a combination of detection models allows for optimal detection of parasites in sashimi.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Junhong Zhao, Qixiao Hu, Bin Li, Yuming Xie, Huazhong Lu, Sai Xu
Summary: This study aimed to improve the non-destructive detection method for soluble solids content (SSC) in grapes using deep learning and hyperspectral imaging. The results confirmed the feasibility and efficiency of the improved method.
APPLIED SCIENCES-BASEL
(2023)
Article
Geosciences, Multidisciplinary
Zhenhua Tian, Shangwen Zhou, Songtao Wu, Sai Xu, Junping Zhou, Jianchao Cai
Summary: This paper presents a modified method for calculating the lost gas content of shale by analyzing the coring and on-site desorption processes. The method accurately depicts the loss characteristics of free and adsorbed gas and identifies parameters that influence the calculation of in-situ shale gas content. The results demonstrate that the method shows satisfactory applicability in gas loss curve prediction and in-situ gas content estimation.
Article
Food Science & Technology
Sai Xu, Huazhong Lu, Xin Liang, Christopher Ference, Guangjun Qiu, Changxiang Fan
Summary: The flavor of Pomelo is highly variable and difficult to determine without peeling the fruit. A quick but nondestructive TSSC detection method for pomelo is needed. The aim of this study was to determine the optimal method to accurately detect pomelo TSSC and find a de-noising model which reduces the influence of noise on the optimal method's results.
Review
Horticulture
Sai Xu, Xiongmei Huang, Huazhong Lu
Summary: With the improvement in living standards, consumers have become more aware of healthy diets and pay more attention to the quality and safety of fruits and vegetables. Therefore, it is essential to strengthen the research on rapid detection of the quality and safety of fruits and vegetables. In this study, five Raman spectroscopy techniques are outlined, introducing their principles, advantages, and current research progress in fruit and vegetable quality and safety detection. The study found that Raman spectroscopy techniques can quickly and accurately detect various aspects of fruits and vegetables, such as classification, ripeness, freshness, disease infestation, pesticide residues, and material components.