Article
Chemistry, Analytical
Leilane C. Barreto, Rosa Martinez-Arias, Axel Schechert
Summary: The study demonstrates the feasibility of using NIRS on sugar beet root pulp to detect and quantify RRCR, providing a helpful tool for assessing Rhizoctonia disease in the field.
Article
Chemistry, Analytical
Liang-Hung Weng, Hirotsugu Hiramatsu
Summary: In this study, a combination of liquid chromatography-Raman spectroscopy (LC-Raman) and programmable pump-Raman spectroscopy (PP-Raman) was used to separate and identify compounds in a mixture. These techniques were used for quantitative analysis of sugars in honey. The LC-Raman data was analyzed using the MCR-ALS analysis procedure to separate and identify four sugars, while the PP-Raman method examined the concentration dependence of the Raman spectrum intensity. The sugar contents were quantitatively determined and compared with mass spectrometry and previous studies.
ANALYTICAL METHODS
(2023)
Article
Chemistry, Analytical
Baohua Tan, Wenhao You, Shihao Tian, Tengfei Xiao, Mengchen Wang, Beitian Zheng, Lina Luo
Summary: This study presents a method for rapid detection of nitrogen content in soil using near-infrared spectroscopy and random forest regression. The results show that the proposed method has higher prediction accuracy compared to other models and effectively reduces data redundancy.
Article
Food Science & Technology
Hilmi Eriklioglu, Esmanur Ilhan, Mikhail Khodasevich, Darya Korolko, Marena Manley, Rosario Castillo, Mecit Halil Oztop
Summary: This study successfully differentiates between sugar beet and sugarcane sugars using UV-Vis spectroscopy and chemometric methods, providing a fast, feasible, and cost-effective approach.
JOURNAL OF FOOD SCIENCE
(2023)
Article
Agricultural Engineering
Jirawat Chiatrakul, Anupun Terdwongworakul, Kaewkarn Phuangsombut, Arthit Phuangsombut
Summary: A near infrared hyperspectral imaging system was used to develop a prediction model for the commercial cane sugar (CCS) content in sugarcane stalk without peeling. The study compared two scanning techniques and the presence of wax on the stalk surface to evaluate the prediction accuracy. The model based on an axis rotation scan showed better performance, especially for wax-covered samples. The axis rotation scan generated a pixel-wise CCS map across the whole stalk surface, while the translation scan showed CCS values for a projected surface area of the stalk with errors at the curved edge. Additionally, the translation scan model using wax-covered samples could visually detect the maturity of sugarcane in the field.
BIOSYSTEMS ENGINEERING
(2022)
Article
Agronomy
Helena Viric Gasparic, Darija Lemic, Renata Bazok
Summary: This study aimed to investigate neonicotinoid residues in beneficial soil organisms, and found residues of neonicotinoids in ground beetles and earthworms. The results indicate the presence of neonicotinoid residues in soil fauna.
Article
Instruments & Instrumentation
Chunwang Dong, Zhongyuan Liu, Chongshan Yang, Ting An, Bin Hu, Xin Luo, Jing Jin, Yang Li
Summary: This study used near-infrared spectroscopy to detect the content of exogenous sucrose in black tea, and established discriminant models using various methods for data preprocessing. The ELM model with MC preprocessing and VCPA-IRIV method extraction of characteristic wavelengths achieved the best discrimination, with recognition accuracy rates of 100% for both the correction and prediction sets.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Agronomy
Nick Lord, Chao Shang, Luciana Rosso, Bo Zhang
Summary: In this study, prediction models for sucrose and stachyose in soybean seed using near-infrared reflectance spectroscopy showed high quantitative accuracy, while the calibration for raffinose remained poor. Different methods for more accurate and rapid quantification of raffinose concentration in soybean seed should be explored.
Article
Plant Sciences
Jess T. Gersony, Arthur McClelland, N. Michele Holbrook
Summary: This study demonstrates the use of Raman spectroscopy to assess sucrose concentration in leaf samples and apply this method to estimate sucrose concentration in sieve elements of canopy red oak trees. The findings support the Munch hypothesis for phloem transport and challenge the passive-loading hypothesis in red oak. The study provides a new avenue for investigating phloem functioning by characterizing sieve element sucrose concentration in plants in a similar to in-situ state.
Article
Spectroscopy
Chen Miao, Hou Ming-yu, Cui Shun-li, Li Zhen, Mu Guo-jun, Liu Ying-ru, Li Xiu-kun, Liu Li-feng
Summary: This study classified peanut seeds into black-purple, red, and pink categories using a colorimeter, and established nine near-infrared spectrum calibration models to predict the content of various sugars in peanuts. This provides technical support for breeding high-sugar content edible peanuts.
SPECTROSCOPY AND SPECTRAL ANALYSIS
(2022)
Article
Plant Sciences
Karen K. Fugate, Mohamad F. R. Khan, John D. Eide, Peter C. Hakk, Abbas M. Lafta, Aiming Qi
Summary: Research finds that the severity of Cercospora leaf spot (CLS) disease does not significantly affect the storage properties of sugar beets. Therefore, storage of sugar beets harvested from plants with CLS does not require additional precautions.
Article
Chemistry, Analytical
Dong Xiao, Quoc Huy Vu, Ba Tuan Le
Summary: This study proposes a method for rapid detection of salt content in saline-alkali soil using spectral data and artificial intelligence algorithms to construct a salt detection model. The results show that the method is effective in quickly and accurately detecting salt content online, saving time and cost compared to chemical analysis methods.
MICROCHEMICAL JOURNAL
(2021)
Article
Agronomy
Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi, Jun Zhou
Summary: This study proposes a new method based on Fourier-transform near-infrared spectroscopy for detecting impurities in seed cotton. By applying various algorithms and optimizing the support vector machine model, a spectral inversion model for determining the impurity rate of seed cotton was successfully established with high predictive accuracy.
Article
Agriculture, Multidisciplinary
Qing Wang, Yingpu Che, Ke Shao, Jinyu Zhu, Ruili Wang, Yang Sui, Yan Guo, Baoguo Li, Lei Meng, Yuntao Ma
Summary: 1. Published vegetation indices calculated from hyperspectral data outperformed those from multispectral data in estimating sugar content in beetroot.
2. Structural features calculated from LiDAR outperformed those from RGB data.
3. Combining multimodal data from different sensors improved the accuracy of sugar content estimation in beetroot compared to using data from individual sensors.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Spectroscopy
Jingyi Zhu, Qian Wang, Lu Han, Chong Zhang, Yuanyuan Wang, Kang Tu, Jing Peng, Jiahong Wang, Leiqing Pan
Summary: This study reports a rapid statistical approach based on NIR and MIR spectral data to determine the CPL content in curdlan packaging films, finding that 5% CPL concentration exhibited the best mechanical properties. The statistical approach using NIR and MIR data provides a fast, accurate, and non-destructive way of determining CPL content.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Engineering, Chemical
Chendie Ni, Hai Liu, Qiang Liu, Ye Sun, Leiqing Pan, Ian Denis Fisk, Yuan Liu
JOURNAL OF FOOD PROCESS ENGINEERING
(2020)
Article
Chemistry, Applied
Ye Sun, Renfu Lu, Leiqing Pan, Xiaochan Wang, Kang Tu
Article
Food Science & Technology
Ye Sun, Yuping Huang, Leiqing Pan, Xiaochan Wang
Summary: The study aimed to measure the optical coefficients of peaches at different maturity levels after bruising. Results showed that bruising caused a decrease in scattering coefficient and an increase in absorption coefficient, with immature peaches experiencing greater changes in optical properties. Optical properties showed significant changes 4 hours after bruising and could detect tissue damage earlier than visible symptoms. The Support Vector Machine model demonstrated that absorption coefficient had the best classification accuracy for bruised peaches, leading to improved detection accuracies at different time points.
Article
Chemistry, Applied
Qiang Liu, Chen Ma, Kangli Wei, Kang Tu, Leiqing Pan
Summary: This study utilized a single integrating sphere optical method to quantitatively describe the sugar profiles in peaches during storage. Correlation analysis between optical properties and sugar profiles allowed for the development of quantitative models to predict sugar composition in peach flesh, with sucrose content prediction being more accurate based on absorption coefficient data. The models established by SIS provide a simple and efficient strategy for quantitative analysis of fruit quality attributes.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2021)
Article
Food Science & Technology
Qiang Liu, Shaoxia Chen, Dandan Zhou, Chao Ding, Jiahong Wang, Hongsheng Zhou, Kang Tu, Leiqing Pan, Pengxia Li
Summary: This study demonstrates the use of FT-NIR spectroscopy for quality assessment of mini-Chinese cabbage with nanopackaging during storage, with prediction models developed for various quality attributes using PLSR and support vector machine. Different preprocessing methods were compared for their performance, showing that SNV-PLSR model had the best prediction performance for weight loss rate. SVC was able to predict freshness levels with high accuracy in mini-Chinese cabbage. The results suggest the potential implementation of FT-NIR spectroscopy for comprehensive assessments of internal and external quality attributes of mini-Chinese cabbage with nanopacking.
Article
Chemistry, Applied
Qiang Liu, Wei Zhang, Bin Zhang, Changwen Du, Niannian Wei, Dong Liang, Ke Sun, Kang Tu, Jing Peng, Leiqing Pan
Summary: This study investigated the use of Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) to determine the total protein and wet gluten contents in wheat flour. The FTIR-PAS spectral data were analyzed using principal component analysis and multivariate calibration models were established to evaluate the predictive performance. Satisfactory results were obtained for both total protein and wet gluten, with limited but acceptable error rates.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Chemistry, Analytical
Min Chen, Zhongyu Yan, Lu Han, Dandan Zhou, Yan Wang, Leiqing Pan, Kang Tu
Summary: In this study, a rapid detection method for Shigella using modified nanoparticles was developed. The method showed high selectivity and sensitivity, and could detect Shigella in contaminated samples without the need for sample enrichment.
Article
Food Science & Technology
Yu Yang, Shangpeng Sun, Leiqing Pan, Min Huang, Qibing Zhu
Summary: To meet the growing demand for food safety and quality, there is an urgent need for new methods that can simultaneously and rapidly determine multiple food quality parameters (FQPs) in the food industry. Near-infrared (NIR) spectroscopy combined with spectral prediction models has gained popularity as an effective and low-cost approach for quantitative analysis of FQPs. However, most existing prediction models focus on a single quality parameter and ignore the potential connections among different FQPs, which can lead to performance degradation. This study proposes a novel multi-task genetic programming-based approach named EM4GPO to build multiple FQPs predictions simultaneously, and the experimental results demonstrate its superiority over other commonly used methods.
Article
Biochemistry & Molecular Biology
Lijun Song, Shiqi Liu, Li Zhang, Leiqing Pan, Long Xu
Summary: In this study, the ultrasonic-assisted extraction conditions of polysaccharides from Nitraria retusa fruit were optimized, and their structural characteristics and antioxidant activity were investigated. The maximum yield of polysaccharides was obtained under the optimal conditions of temperature, time, and liquid-to-solid ratio. Three polysaccharide fractions with different molecular weights were isolated, and glucose, galactose, and arabinose were identified as the primary monosaccharide units.
Article
Food Science & Technology
Mengwei Jiang, Yiting Li, Jin Song, Zhenjie Wang, Li Zhang, Lijun Song, Bingyao Bai, Kang Tu, Weijie Lan, Leiqing Pan
Summary: This study investigated the potential of a hyperspectral imaging (HSI) system to detect black spot disease in winter jujubes infected by Alternaria alternata during postharvest storage. HSI images were obtained using two systems in the visible and near-infrared (Vis-NIR) and short-wave infrared (SWIR) spectral regions. Physical and chemical parameters, as well as the microstructure of winter jujubes, were measured during the pathogenic process. The results showed that the spectral reflectance of jujubes exhibited a decreasing trend in both the Vis-NIR and SWIR wavelength ranges. Partial least squares discriminant models based on the HSI spectra achieved satisfactory accuracy for disease detection.
Article
Agriculture, Multidisciplinary
Bin Zhang, Jing Peng, Leiqing Pan, Kang Tu
Summary: Soy protein, peanut protein, and wheat protein can adsorb 2-pentylfuran, a representative off-odor compound. The different proteins exhibit various conformations, leading to differences in flavor retention. Non-covalent forces, especially hydrophobic interactions, play a crucial role in the adsorption of 2-pentylfuran.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Chemistry, Analytical
Lu Han, Min Chen, Yaqi Song, Zhongyu Yan, Dandan Zhou, Leiqing Pan, Kang Tu
Summary: In recent years, the high prevalence of Salmonella has become a serious threat to public safety, leading to the development of accurate and rapid methods for food safety. This study proposed a multifunctional platform combining colorimetric and fluorescence detection channels with PCR for the sensitive and rapid detection of Salmonella. The results showed that this dual-mode PCR biosensor, incorporating internal filter effect and PCR amplification, achieved a limit of detection of 21.8 CFU/mL and produced satisfactory results for Salmonella detection in food samples.
Article
Chemistry, Analytical
Yaqi Song, Min Chen, Zhongyu Yan, Lu Han, Leiqing Pan, Kang Tu
Summary: A novel nanoplatform based on biofunctionalized magnetic nanoparticles (MNPs) modified upconversion nanoparticles (UCNPs) was reported for rapid and specific determination of Shigella. The MNPs@UCNPs fluorescence biosensor achieved the detection of Shigella in 1 h, with a limit of detection of 32 CFU/mL.
Correction
Chemistry, Analytical
Min Chen, Zhongyu Yan, Lu Han, Dandan Zhou, Yan Wang, Leiqing Pan, Kang Tu
Article
Agronomy
Yiting Li, Sicong You, Shasha Wu, Mengyao Wang, Jin Song, Weijie Lan, Kang Tu, Leiqing Pan
Summary: This study aimed to compare the discrimination ability and detection limit of visible and short-wave near-infrared hyperspectral imaging features and spectral information on early implicit bruised pears. Physical characteristics were more sensitive than chemical parameters for bruised pears during postharvest storage. The changes in spectral variations at specific wavelengths could explain the bruising changes in pears. Discrimination models based on selected spectral variables could effectively identify bruised pear areas, and the combination of imaging features and spectral variables achieved higher discrimination rates.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2024)
Article
Chemistry, Applied
M. Graca Dias, Elsa Vasco, Francisco Ravasco, Lufsa Oliveira
Summary: This study estimated the vitamin D intake of "adults" and "elderly" populations in Portugal using the TDS methodology. The results showed that the majority of people had inadequate vitamin D intake, well below the Dietary Reference Values.
Article
Chemistry, Applied
Yanan Wang, Jiachen Shi, Yong-Jiang Xu, Chin-Ping Tan, Yuanfa Liu
Summary: This study investigates the variations in lipid digestion profiles among individuals of different ages using in vitro digestion models. The findings suggest that adults have a more comprehensive lipid digestion compared to infants, and infants tend to release shorter chain length and more saturated free fatty acids during digestion. Additionally, the particle sizes in the stomach of the elderly were consistently larger. This study enhances our understanding of how lipids with different degrees of unsaturation undergo digestion in diverse age groups.
Article
Chemistry, Applied
Hyunjong Yu, Huisu Kim, Pahn-Shick Chang
Summary: Chitosan-pectin emulsion-filled hydrogel (EFH) was developed to enhance the bioaccessibility of lipophilic bioactive compounds through intestinal delivery. The EFH, prepared without crosslinking agents, demonstrated improved mechanical strength and compactness with higher pectin concentration. It retained the emulsion at pH 2.0 and released it at pH 7.4, resulting in enhanced release of free fatty acids and improved bioaccessibility of curcumin.
Article
Chemistry, Applied
Tongze Zhang, Siqi Hong, Jia-Rong Zhang, Pin-He Liu, Siyi Li, Zixian Wen, Jianwei Xiao, Guirong Zhang, Olivier Habimana, Nagendra P. Shah, Zhongquan Sui, Harold Corke
Summary: Lactic acid fermentation significantly affects the morphology and physicochemical properties of proso millet starch, including the formation of surface indentations and small pores, decrease in gelatinization temperatures, and changes in hardness and adhesiveness.
Article
Chemistry, Applied
Liqin Kong, Feng Hong, Peng Luan, Yiping Chen, Yaoze Feng, Ming Zhu
Summary: This study presents a novel impedance biosensor using composite nanomaterials and T1R1 as a signal probe, which can competitively and ultra-sensitively detect umami intensity. The biosensor exhibits exceptional analytical performance and is suitable for food flavor evaluation.
Article
Chemistry, Applied
Kunying Lv, Yixin Yang, Qilong Li, Ran Chen, Liang Deng, Yiwei Zhang, Ning Jiang
Summary: Horse's milk, with its high nutritional value and low allergenic proteins, could be a substitute for cow's milk in infant consumption. A proteomic method was used to identify and compare milk fat globule membrane (MFGM) and whey proteins from different horse breeds. The study found differences in protein composition and functionality, which could support the development of formulas more suitable for human infants.
Article
Chemistry, Applied
Enrique Jacobo Diaz-Montana, Helene Brignot, Ramon Aparicio-Ruiz, Thierry Thomas- Danguin, Maria Teresa Morales
Summary: Sensory perception of virgin olive oil is influenced by phenols and volatiles, which are affected by the composition of the oil and biological factors. This study investigated the effect of saliva and phenols on the release of volatiles, and found that the presence of phenols decreased the release of saturated volatiles.
Article
Chemistry, Applied
Wei Zhou, Rui Zhang, Zhen Cai, Fangfang Wu, Yong Hu, Chao Huang, Kun Hu, Yun Chen
Summary: Environmentally friendly and outstanding pH-responsive cationic starch nanoparticles (CSNP) were prepared from pH-sensitive starch. CSNP exhibited nanosize and regular sphere, highly free-flowing molecular chains, and demonstrated excellent pH responsiveness through multiple emulsion/demulsification transitions.
Article
Chemistry, Applied
Andrea Koo, Vinayak Ghate, Weibiao Zhou
Summary: This study suggests that direct seeding may negatively affect the nutritional quality of crops, causing a decrease in ascorbic acid, vitamin K, and total glucosinolate content.
Article
Chemistry, Applied
Tonghao Du, Yazhou Xu, Xiaoyan Xu, Shijin Xiong, Linli Zhang, Biao Dong, Jinqing Huang, Tao Huang, Muyan Xiao, Tao Xiong, Mingyong Xie
Summary: This study successfully improved the ACE inhibitory activity of black sesame seeds by fermenting them with Lactobacillus Plantarum NCU116 and hydrolyzing them using acid protease. The RF-PSO model was used to predict the ACE inhibitory activity during the hydrolysis process. Eight peptides with ACE inhibitory activity were identified from fermented black sesame seed hydrolysates after separation and screening.
Article
Chemistry, Applied
Yao Liu, Songyi Lin, Kexin Liu, Shan Wang, Qiaozhen Liu, Na Sun
Summary: This study analyzed the structural changes of shrimp proteins during digestion, predicted the immunodominant epitopes, and validated their allergenicity. The results showed that shrimp proteins were degraded into peptides during digestion, but still carried IgE epitopes that trigger allergic reactions.
Article
Chemistry, Applied
Tiantian Fu, Hongwei Cao, Yu Zhang, Xiao Guan
Summary: This study investigates the impact of milling on the active components in rice, with a focus on the stability and bioaccessibility of phenols, VB1, and alpha-GABA during cooking and digestion. The findings show that milling exacerbates the instability of gamma-GABA during cooking and VB1 during digestion, and it affects the bioaccessibility of these active compounds.
Article
Chemistry, Applied
Zhihao Yang, Yanru Hou, Min Zhang, Puxin Hou, Chang Liu, Lu Dou, Xiaoyu Chen, Lihua Zhao, Lin Su, Ye Jin
Summary: This study investigated the molecular mechanism of feeding regimes on lamb flavor by using TMT labeling combined with MS. The results showed that pasture-fed groups had higher levels of amino acids and volatile flavor substances compared to concentrate-fed groups. Additionally, several differentially abundant proteins associated with lamb flavor were identified.
Article
Chemistry, Applied
Zixuan Xie, De Zhang, Junyu Zhu, Qianqian Luo, Jun Liu, Jingtao Zhou, Xiaoyong Wang, Yuqiong Chen, Zhi Yu, Dejiang Ni
Summary: This study investigated the acidification of aroma-enhanced black tea during storage. Analysis of non-volatile substances and organic acids using UPLC-Q-TOF/MS and HPLC revealed a decrease in soluble sugars and amino acids, while an increase in organic acids such as oxalic acid, malic acid, and quinic acid. In vitro experiments further demonstrated that the acidification is a result of the decomposition of sugars and amino acids by heating, as well as the oxidation of aromatic aldehydes. Additionally, the study showed that the taste composition of tea infusion is altered, with reduced amino acids, catechins, soluble sugars, and flavonoids. This research provides a theoretical basis for improving the quality of black tea.
Article
Chemistry, Applied
Lin Wang, Falai Ma, Zihan Li, Yan Zhang
Summary: This study developed time-temperature integrators based on amyloglucosidase@Cu3(PO4)2 nanoflowers for monitoring the freshness of chilled pork. The results showed that the integrators were highly reliable and accurate in predicting the quality of chilled pork.