Article
Chemistry, Analytical
Luciana dos Santos Canova, Federico Danilo Vallese, Marcelo Fabian Pistonesi, Adriano de Araujo Gomes
Summary: This study proposes a new algorithm called fSPA-MLR, which enhances the performance of the original SPA-MLR method by adding a filter step to reduce the number of uninformative variables. The fSPA-MLR models demonstrate superior performance compared to PLS and the original SPA-MLR models in both cross-validation and external prediction.
ANALYTICA CHIMICA ACTA
(2023)
Article
Engineering, Electrical & Electronic
Dianjun Zhang, Quan Guo, Lingjuan Cao, Guoqing Zhou, Guangyun Zhang, Jie Zhan
Summary: This study successfully established a model for bathymetry estimation of Qinghai Lake using hyperspectral remote sensing data, with an accuracy exceeding 90%, outperforming existing models. The method can provide large-scale, rapid monitoring data for relevant decision-making departments.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Chemistry, Analytical
Cheng Jie-Hong, Chen Zheng-Guang
Summary: Successive projection algorithm (SPA) is used for wavelength selection in near infrared spectroscopy to simplify model complexity and improve prediction accuracy, but may result in subsets containing uninformation or interfering variables. Improved IRIV-SPA iteratively extracts effective variables and selects wavelengths based on them, achieving the best prediction accuracy in two test datasets.
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
(2021)
Article
Biotechnology & Applied Microbiology
Huiqin Niu, Yifan Pang, Lingli Xie, Qiaozhen Yu, Yubang Shen, Jiale Li, Xiaoyan Xu
Summary: This study investigates the evolutionary background and expression regulation of grass carp miRNAs. Multiple novel miRNAs have emerged during grass carp evolution, and both duplication and de novo production contribute to miRNA cluster formation, with de novo creation being more prevalent. Clustered miRNAs are more conserved and change slower, while unique miRNAs tend to have higher evolution rates and lower expression levels.
Article
Chemistry, Analytical
Daining Ding, Huichun Yu, Yong Yin, Yunxia Yuan, Zhaozhou Li, Fang Li
Summary: This study combined Raman spectroscopy with the SPA-ELM method to rapidly and accurately evaluate the chlorophyll content and hardness of cucumbers.
ANALYTICAL LETTERS
(2023)
Article
Spectroscopy
Fulong Liu, Gang Li, Ling Lin
Summary: This study improved the accuracy of breast tissue heterogeneity detection by using nonlinear transformations on multi-spectral images and selecting the optimal wavelength combination using SPA algorithm. Experimental results show that a specific wavelength combination performs best in detecting breast tissue heterogeneity.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Multidisciplinary
Yuzhen Wei, Wenjun Hu, Feiyue Wu, Yi He
Summary: This research focused on the visual and nondestructive detection of mannose (MN) and Dendrobium polysaccharides (DP) in Dendrobiums using hyperspectral imaging technology. By building radial basis function neural network (RBFNN) models based on NIR spectra and developing a novel chemometric method, the research achieved excellent results in MN and DP detection. The study also simplified the detection models and successfully generated distribution maps of MN and DP, as well as built an RBFNN classifier for classifying Dendrobium habitats, with a total classification accuracy of 0.887, advancing Dendrobium quality evaluation and spectral detection technology.
Article
Multidisciplinary Sciences
Yongxin Zhou, Jiaze Chen, Jinfang Ma, Xueqin Han, Bijuan Chen, Guilian Li, Zheng Xiong, Furong Huang
Summary: This research explored the feasibility of using hyperspectral imaging technology for early warning and diagnostic visualization of Sclerotinia infected tomato. PLS-DA and SVM were used to construct identification models, and two band screening methods were introduced to improve prediction accuracy.
SCIENTIFIC REPORTS
(2022)
Article
Instruments & Instrumentation
Lei Pang, Lianming Wang, Peng Yuan, Lei Yan, Jiang Xiao
Summary: This research successfully predicts the seed viability of Sophora japonica by combining hyperspectral imaging technology with deep learning methods. One-dimensional deep learning methods outperformed machine learning methods in identifying seed viability. By improving the successive projection algorithm and comparing it with other algorithms, the best detection model was found. The vitality prediction model established based on this model had better performance than the detection model.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Hyeyeon Song, So-Ra Yoon, Yun-Mi Dang, Ji-Su Yang, In Min Hwang, Ji-Hyoung Ha
Summary: This study explored the potential of hyperspectral imaging (HSI) processing in the near-infrared region for nondestructive classification of napa cabbage quality. The researchers successfully predicted and classified the freshness of napa cabbage by extracting HSI characteristics from hyperspectral images. The SVM model accurately distinguished healthy cabbage from cabbage exhibiting soft rot disease symptoms.
SCIENTIFIC REPORTS
(2022)
Article
Spectroscopy
Gao Xi-ya, Zhang Zhu-shan-ying, Lu Cui-cui, Meng Yong-ji, Cao Hui-min, Zheng Dong-yun, Zhang Li, Xie Qin-lan
Summary: Hemoglobin is an important physiological index of the human body, and abnormal concentrations can lead to diseases. Infrared spectroscopy is simple, non-destructive, and rapid, making it suitable for quantitative analysis. However, extracting effective variables and building an accurate model is challenging due to the complexity of spectral background.
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2023)
Article
Engineering, Multidisciplinary
Zhisong Wang, Qingming Liu, Lidan Yue, Dan Wang, Qi Jing, Changqi Liu, Zongling He, Zhou Yang
Summary: This paper establishes a multi-wavelength detection model based on the OptQuest nonlinear programming algorithm to study the particle size distribution (PSD) of spherical particles. An experiment is designed to verify the reliability of the system. The selection of detection wavelength greatly affects the results of PSD inversion, and choosing the wavelength at the peak of the extinction coefficient curve of appropriate particle size minimizes the relative error of PSD parameters. Both simulation and experimental results indicate that the five-wavelength method has the highest testing accuracy.
Article
Plant Sciences
Salah El-Hendawy, Yaser Hassan Dewir, Salah Elsayed, Urs Schmidhalter, Khalid Al-Gaadi, ElKamil Tola, Yahya Refay, Muhammad Usman Tahir, Wael M. Hassan
Summary: This study examines the ability of canopy spectral reflectance data for accurate estimation of chlorophyll content in wheat genotypes. The results show that some spectral reflectance indices perform well in estimating chlorophyll content, while partial least square regression models exhibit poor performance for certain units of chlorophyll content.
Article
Chemistry, Analytical
Yunpeng Wei, Huiqiang Hu, Huaxing Xu, Xiaobo Mao
Summary: In this paper, an unsupervised band selection method based on the multimodal evolutionary algorithm and subspace decomposition is proposed to address the issues of ignoring subset diversity and choosing redundant bands. Experimental results demonstrate the superiority of the proposed method over state-of-the-art methods in terms of predicted accuracy.
Article
Green & Sustainable Science & Technology
Mingsong Zhao, Yingfeng Gao, Yuanyuan Lu, Shihang Wang
Summary: Soil organic matter (SOM) is an important indicator of soil fertility, and the visible and near-infrared reflectance spectroscopy is an effective method for modeling SOM content. This study aimed to find the optimal combination of characteristic wavelength selection and spectral transformation for hyperspectral modeling of SOM. The results showed that the CARS algorithm combined with CR and FDR can significantly improve the modeling accuracy of SOM content.
Review
Food Science & Technology
Obafemi Ibitayo Obajemihi, Jun-Hu Cheng, Da-Wen Sun
Summary: Infrared-accelerated drying (IRAD) technology is an innovative solution for the food industry, offering advantages such as energy-saving potential, reduced drying time, and cost-effectiveness. This review presents the latest knowledge and findings on the applications of IRAD technologies in enhancing food quality and safety. It discusses the fundamental principles and characteristics of IRAD, energy-saving potentials, simulation and optimization approaches for improving efficiency, and developments in combining IRAD with other drying techniques for better end-products.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Review
Food Science & Technology
Yuandong Lin, Ji Ma, Qijun Wang, Da-Wen Sun
Summary: There is an increasing interest in the role of nondestructive and rapid detection technologies in the food industry. Machine learning techniques have shown great potential in handling complex data and building calibration models. Novel nondestructive technologies, such as acoustic analysis, machine vision, electronic nose, and spectral imaging, combined with machine learning, have wide applications in food quality assessment.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Review
Food Science & Technology
Hongbin Pu, Qingyi Wei, Da-Wen Sun
Summary: This article introduces a method of using hyperspectral imaging technology to assess the safety of meat products. By analyzing the safety indicators of muscle foods involving biological, chemical, and physical attributes and other associated hazards or poisons, it provides a new approach and technology for meat safety evaluation. Although hyperspectral imaging can provide the spatial distribution of spectrum, further improvement is still needed to overcome its limitations for industrial applications.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Engineering, Chemical
Edidiong Joseph Bassey, Da-Wen Sun, Okon Johnson Esua, Jun-Hu Cheng
Summary: This study investigated the effects of freeze-thaw pretreatments using different freezing speeds on the drying characteristics, physicochemical and phytochemical compositions of red dragon fruit slices during infrared drying. The results showed that the pretreatments could alter cellular structure, reduce drying time, increase drying rates and effective moisture diffusivity. The effects varied depending on the freezing methods, with fast and ultrafast freezing improving physicochemical quality and antioxidant capacity, while slow freezing enhancing certain phytochemical contents and antioxidant activity.
Article
Chemistry, Applied
Hong Zhu, Jun-Hu Cheng, Ji Ma, Da-Wen Sun
Summary: An effective method based on Fe2+ assisted cold plasma was proposed to pretreat pineapple peel cellulose for the preparation of cellulose nanofibrils (CNF). The mechanism underlying Fe2+ assisted cold plasma pretreatment and the resulting changes in cellulose structure were investigated. The results showed that Fe2+ assisted cold plasma treatment significantly decreased the degree of polymerization of cellulose and enhanced electrostatic repulsion of fibrils, leading to the production of CNF. The study provides important insights into developing new pretreatment methods for converting cellulose into CNF.
Article
Chemistry, Applied
Lunjie Huang, Da-Wen Sun, Hongbin Pu, Cuiyun Zhang, Daorui Zhang
Summary: This study presents a biocatalytic spraying coating for fruit preservation, using banana and mango as model fruits. The biohybrid nanofibers in the coating showed excellent antibacterial performance and effectively killed foodborne pathogens, thereby improving the quality of the fruits.
FOOD HYDROCOLLOIDS
(2023)
Article
Crystallography
Bei Xu, Jichao Hu, Jiaqi Meng, Xiaomin He, Xi Wang, Hongbin Pu
Summary: For the first time, beta-Ga2O3 was grown on 4H-SiC substrates using a LPCVD technique. The beta-Ga2O3/4H-SiC heterostructures showed preferential growth along the <201> orientation of beta-Ga2O3. The interfacial properties of the beta-Ga2O3(201)/4H-SiC(0001) interface were studied, including the work of adhesion, electronic properties, and bonding characteristics, using first principles.
Article
Chemistry, Applied
Jun-Hu Cheng, Jilin Li, Da-Wen Sun
Summary: This study investigated the effects of dielectric barrier discharge (DBD) cold plasma (CP) on the structure, surface hydrophobicity, and allergenic properties of tropomyosin (TM) in shrimp. The results showed that CP treatment increased the molecular weight of TM, decreased the protein concentration, increased the content of free amino acids, and altered the distribution of aromatic amino acids. CP treatment also led to a decrease in the content of alpha-helix and an increase in surface hydrophobicity. Allergenicity analysis demonstrated that CP treatment significantly reduced the IgE binding capacity and the degranulation indexes of KU812 cells, including the release of beta-HEX, intracellular calcium ion intensity, histamine, and inflammatory cytokines (IL-4, TNF-alpha).
Article
Chemistry, Applied
Obafemi Ibitayo Obajemihi, Okon Johnson Esua, Jun-Hu Cheng, Da-Wen Sun
Summary: The effects of pretreatments using plasma functionalized water (PW), osmodehydration (OD), and combined plasma functionalized water and osmodehydration (PO) on the drying characteristics, physicochemical and bioactive components of tomato slices during hot air drying at an air temperature of 55 degrees C and velocity of 1.5 m/s were evaluated. The results showed that PW pretreatment increased lycopene content, shortened drying time, improved various physicochemical properties, but reduced TSS. OD treatment led to lycopene degradation, prolonged drying time, increased TSS, but lowered acidity and other properties. PO treatment overcame the disadvantages of OD and showed enhanced lycopene content, accelerated moisture transfer, improved bioactive and physicochemical properties. Overall, PW and PO pretreatments showed promising potential for enhancing drying efficiency and product quality in the food industry.
Article
Biochemistry & Molecular Biology
Jun-Hu Cheng, Huifen Wang, Da-Wen Sun
Summary: This study investigated the effects of cold plasma (CP) treatment on the IgE-binding sites between allergenic peptides of tropomyosin (TM) in shrimp and plasma active particles. Results showed that the IgE-binding ability of two critical peptides (P1 and P2) initially increased and then decreased after 15 min of CP treatment. The contribution rates of different active particles in reducing IgE-binding ability were also determined. Additionally, specific amino acids in the peptides were identified as the IgE sites. These findings contribute to the accurate control of TM allergenicity and provide insights into allergenicity mitigation during food processing.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Chemistry, Analytical
Mingchun Lv, Nisar Hussain, Da-Wen Sun, Hongbin Pu
Summary: The study focuses on the development of core-shell nanorods (Au@AgNRs) functionalized with mercaptoacetic acid (MAA) as a substrate for sensitive evaluation of paraquat residues in fruit samples. The modified substrate exhibited excellent stability and sensitivity, and proved to be effective in assessing herbicide residues in complex foods.
MICROCHEMICAL JOURNAL
(2023)
Article
Engineering, Chemical
Clement Kehinde Ajani, Zhiwei Zhu, Da-Wen Sun
Summary: A microscale modelling framework was developed to compute effective properties related to flow, heat, and mass transfer during vacuum cooling of porous foods. The model was validated using nuclear magnetic resonance to investigate cellular water transport in steamed bread. The computed effective properties were in line with experimental measurements, and the analysis showed that microstructural variability significantly affected the estimated effective properties. The microscale model provided details not visible in the lumped formulation, offering a better understanding of moisture loss mechanisms during vacuum cooling.
TRANSPORT IN POROUS MEDIA
(2023)
Review
Chemistry, Analytical
Qingyi Wei, Qirong Dong, Hongbin Pu
Summary: The constant search for better ways to ensure food safety is vital for the survival and quality of human life. However, food contaminants still pose a threat to human health throughout the food chain. The existence of multiple contaminants in food systems can lead to synergistic effects and increased food toxicity. Therefore, the development of multiple food contaminant detection methods is crucial for food safety control.
Article
Chemistry, Analytical
Hongbin Pu, Yuting Xie, Qingyi Wei, Da-Wen Sun
Summary: SERS sensors based on metal-organic frameworks (MOFs) have been used for trace pesticide residue detection. UiO-66/AuNPs suspension substrates were prepared by modifying the surface of AuNPs using thioglycolic acid (TGA) and then assembling them with UiO-66 through hydrothermal reaction. These substrates were able to quantitatively and simultaneously detect paraquat and diquat in cabbage samples, with LOD of 6 μg/L and 3 μg/L, respectively. The UiO-66/AuNPs substrate also showed the ability to differentiate between paraquat and diquat mixtures, even at concentrations that differed by a factor of 100.
MICROCHEMICAL JOURNAL
(2023)