Article
Chemistry, Analytical
Debora Gonsalves Carvalho, Lucas Ranzan, Rosangela Assis Jacques, Luciane Ferreira Trierweiler, Jorge Otavio Trierweiler
Summary: This study quantified total phenolic compounds and caffeine in green and black tea using fluorescence, MIR, and NIR spectroscopy combined with spectral variables selection tools. The results showed that these spectroscopic techniques, with the PSCM algorithm, could accurately predict total phenolic and caffeine content using a small number of variables.
MICROCHEMICAL JOURNAL
(2021)
Article
Multidisciplinary Sciences
Chenjie Chang, Zongyuan Li, Hongyi Li, Zhuoya Hou, Enguang Zuo, Deyi Zhao, Xiaoyi Lv, Furu Zhong, Cheng Chen, Feng Tian
Summary: Maojian is a traditional famous tea in China, and its market prices vary due to different producing areas and production processes. However, the practice of mixing Maojian from different regions by merchants for profit has disrupted the tea market. Therefore, developing a rapid and accurate method to identify the different origins of Maojian is of great significance.
SCIENTIFIC REPORTS
(2022)
Review
Biochemistry & Molecular Biology
Jean-Michel Roger, Alexandre Mallet, Federico Marini
Summary: This article reviews the preprocessing methods in NIR spectroscopy, including visualization, improvement of spectral resolution, and reduction of multiplicative effects. It introduces common chemometric preprocessing methods and presents alternative approaches proposed in recent papers.
Article
Chemistry, Applied
Yujie Wang, Menghui Li, Luqing Li, Jingming Ning, Zhengzhu Zhang
Summary: In this study, a micro near-infrared (NIR) spectrometer was used for the qualitative and quantitative evaluation of tea, achieving optimal discriminant and predictive performance through chemometrics analysis. This study provided a portable and low-cost method for in-situ assessing tea quality.
Article
Energy & Fuels
J. Buendia Garcia, M. Lacoue-Negre, J. Gornay, S. Mas Garcia, R. Bendoula, J. M. Roger
Summary: This paper presents a fast and efficient method for estimating the cetane number of diesel fuel obtained from hydrocracking total effluent using near-infrared (NIR) spectrum. The method utilizes a partial least squares regression (PLSR) model and a calibrated database to achieve accurate estimations. The alternative method not only optimizes diesel fuel characterization but also shows potential for predicting other fuel properties.
Article
Food Science & Technology
Natalia Hernandez-Sanchez, Lourdes Lleo, Belen Diezma, Eva Cristina Correa, Blanca Sastre, Jean-Michel Roger
Summary: In this study, a fast and simple methodology was developed to estimate the total polyphenol content in extra virgin olive oil by combining various spectral data using the multiblock SO-PLS method. The use of different preprocessing algorithms and double cross-validation with 50 iterations improved the robustness of the results. By combining fluorescence and absorbance spectra, the RMSEP median was reduced, while the complexity of the model was decreased, leading to increased robustness. Further validation of the methodology could be achieved by considering a larger sample size and detailed polyphenol composition.
Review
Plant Sciences
Elizma van Wyngaard, Erna Blancquaert, Helene Nieuwoudt, Jose Luis Aleixandre-Tudo
Summary: The fourth agricultural revolution is utilizing data science for precision viticulture, with infrared spectroscopy playing a key role. Qualitative and quantitative applications of infrared spectroscopy in intact grapevine organs are discussed, along with the future prospects in the field.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Spectroscopy
Muhammad Arslan, Muhammad Zareef, Haroon Elrasheid Tahir, Xiaodong Zhai, Allah Rakha, Shujat Ali, Jiyong Shi, Xiaobo Zou
Summary: This study evaluated the feasibility of data fusion using colorimetric sensor array (CSA), near-infrared (NIR), and mid-infrared (MIR) spectroscopy for quantifying free fatty acids in rice. Different data sets of low-level and mid-level fusion were used to enhance statistical parameters. The results showed that CSA-NIRML model performed the best in predicting free fatty acid content. Integrating CSA, NIR, and MIR proved to be feasible and improved the prediction accuracy of free fatty acids in rice.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Food Science & Technology
Karine Cristine Kaufmann, Klicia Araujo Sampaio, Juan F. Garcia-Martin, Douglas Fernandes Barbin
Summary: The study demonstrates that coriander oil can be effectively distinguished from adulterated oils using principal component analysis, linear discriminant analysis, and k-nearest neighbors algorithm. The performance of Partial Least Squares regression models also shows their potential utility in quality control processes.
Article
Food Science & Technology
Li -Hong Xie, Shao-Qing Tang, Xiao-Qian Wang, Zhong-Hua Sheng, Shi-Kai Hu, Xiang-Jin Wei, Gui-Ai Jiao, Gao-Neng Shao, Ling Wang, Pei -Song Hu
Summary: This study evaluated the suitability of near-infrared reflectance spectroscopy to predict amino acid contents in rice and established a best model for quantification of 14 amino acids. The results showed that this method could be used as a rapid and reliable approach for amino acid quantification in rice breeding programs and quality control in the food industry.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Milton Martinez-Julca, Renny Nazario-Naveda, Moises Gallozzo-Cardenas, Segundo Rojas-Flores, Hector Chinchay-Espino, Amilu Alvarez-Escobedo, Emzon Murga-Torres
Summary: Nutritional foods play a significant role in healthy diets, but they often resemble lower quality foods, making identification challenging. This study uses Principal Component Analysis and Near Infrared Spectroscopy to classify and distinguish samples based on their chemical properties, offering a more precise identification method.
APPLIED SCIENCES-BASEL
(2023)
Article
Food Science & Technology
Yasmin Lima Brasil, J. P. Cruz-Tirado, Douglas Fernandes Barbin
Summary: This study demonstrated that Egg Quality Index (EQI) is the best way to express the freshness of quail eggs, and portable NIR spectrometer shows potential for monitoring quail eggs freshness with good predictive capacity.
Article
Food Science & Technology
Mariem Khouja, Ricardo N. M. J. Pascoa, Diana Melo, Anabela S. G. Costa, M. Antonia Nunes, Abdelhamid Khaldi, Chokri Messaoud, M. Beatriz P. P. Oliveira, Rita C. Alves
Summary: This study investigated the feasibility of using near-infrared spectroscopy to analyze the lipid content and profile of pine seeds, as well as to discriminate between different pine species. Different chemometric models were applied, and the results showed that near-infrared spectroscopy is a suitable analytical technique for lipid analysis and species discrimination of pine seeds.
Article
Food Science & Technology
Xin-Qiang Zheng, Shu-Ling Dong, Ze-Yu Li, Jian-Liang Lu, Jian-Hui Ye, Shi-Ke Tao, Yan-Ping Hu, Yue-Rong Liang
Summary: Excessive intake of high-caffeine tea poses health risks, so cultivating tea cultivars with less caffeine is a viable solution. Cocoa tea, a wild tea plant with low or no caffeine, is difficult to propagate using traditional methods. This study investigated the variation in caffeine and other chemical compositions in seed-propagated cocoa tea plants, finding significant differences in chemical composition and suggesting that natural seed-propagated cocoa tea seedlings are not suitable for producing low-caffeine tea. However, these seedlings have high levels of GCG, a stable antioxidant, making them a good source for extracting antioxidants.
Article
Chemistry, Applied
Arian Amirvaresi, Nastaran Nikounezhad, Maryam Amirahmadi, Bahram Daraei, Hadi Parastar
Summary: The study found that NIR spectroscopy is more effective than MIR in predicting the origin of saffron samples, while PLS-DA shows high accuracy in detecting adulterants, with NIR demonstrating excellent performance in estimating the level of adulteration.
Review
Food Science & Technology
Ying Li, Ziye Yin, Yuanyuan Zhang, Jinghan Liu, Yuliang Cheng, Jiahua Wang, Fuwei Pi, Yinzhi Zhang, Xiulan Sun
Summary: In recent years, probiotics have gained increasing attention as health-promoting supplements in various food systems. This review focuses on the selection strategies of functional microbes for micronutrient supplement and their impact on human health. The paper also summarizes the confirmed strains as micronutrient supplements or producers. Additionally, the article reviews the widely recognized health effects of probiotics and provides basic recommendations for dietitians to better serve consumers.
FOOD REVIEWS INTERNATIONAL
(2022)
Article
Chemistry, Applied
Jingkun Li, Yueying Gao, Yuqi Wan, Jinghan Liu, Lin Liu, Jiahua Wang, Xiulan Sun, Fuwei Pi, Xiangfeng Chen
Summary: An approach of fluorine-fluorine interaction through fluoridating BNNs was developed for sensing PFAAs in food matrices. The F-BNNs based microextraction method exhibited low MDLs in milk and meat matrices with satisfactory repeatability and recoveries. This work provides a routine analysis protocol for monitoring PFAAs in food systems.
Review
Food Science & Technology
Jingkun Li, Jinghan Liu, Yuqi Wan, Jiahua Wang, Fuwei Pi
Summary: Pesticide residues in food have long been a concern for consumers and governments. The emerging technology of ambient ionization mass spectrometry (AIMS) is becoming a promising technique for evaluating these residues, thanks to its direct, real-time, and in-situ ionization on samples without complex pretreatments. This comprehensive review discusses the applications of AIMS in the analysis of residual pesticides in food, covering quantitative analysis, screening, imaging, high-throughput detection, and rapid on-site analysis. The combination of AIMS with high-resolution mass analyzers is also mentioned. The technical challenges and prospects of using AIMS in the food industry are discussed.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Review
Food Science & Technology
Yuqi Wan, Jinghan Liu, Fuwei Pi, Jiahua Wang
Summary: The widespread and excessive use of organophosphorus pesticides has caused significant harm to the environment and food chain. Electrochemical technology, with its unique advantages, has emerged as one of the most promising methods for the degradation of these pesticides. This review provides a comprehensive overview of the fundamental knowledge and practical electrochemical technologies for pesticide degradation. Its objective is to guide the rational design and application of electrochemical technology for the safety of the environment and food chain in the future.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Instruments & Instrumentation
Xudong Sun, Dongdong Cui, Yun Shen, Wenping Li, Jiahua Wang
Summary: This study used terahertz time domain spectroscopy (THz-TDS) and imaging technology to detect tea stalk foreign bodies in tea leaves rapidly and non-destructively. With different baseline correction algorithms, K nearest neighbor qualitative discriminant models were developed. The AirPLS-KNN model with THz time-domain signal inputs showed the best performance. Additionally, THz transmission imaging was used to identify the outline of tea stalks accurately.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Food Science & Technology
Zhoumei Huang, Zaixi Shu, Anhong Xiao, Fuwei Pi, Yanbin Li, Huang Dai, Jiahua Wang
Summary: In this study, a simple, sensitive, and specific colorimetric immunoassay based on gold nanoparticles was proposed for quantitatively detecting Aflatoxin B1 (AFB1) contamination. The method utilizing Prussian blue as a probe achieved linear detection of AFB1 concentration with a limit of 0.35 ng/mL. Acceptable recovery rates were obtained in spiked rice flour samples, showing potential for AFB1 evaluation in the food industry.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Analytical
Huang Dai, Zhoumei Huang, Xiaodan Liu, Jie Bi, Zaixi Shu, Anhong Xiao, Jiahua Wang
Summary: A novel colorimetric enzyme-linked immunosorbent assay (ELISA) using curcumin as a colorimetric indicator was developed for the detection of aflatoxin B1 (AFB1) in food. The method demonstrated selectivity and reliability and could be used for quantitative analysis as well as visual qualitative detection.
Article
Food Science & Technology
Tingna Mei, Jiahua Wang, Xiaofeng Xiao, Jingwen Lv, Qiaocong Li, Huang Dai, Xiaodan Liu, Fuwei Pi
Summary: Microplastic contamination is a public concern for the environment and human health. Plastic-based food filter bags, commonly used for soft drink sub-packaging, release microplastics into food and the environment. This study utilized Raman imaging and chemometrics to identify microplastic features and found that most released microplastics were tiny fragments and particles. Woven NY6 filter bags had the lowest risk of releasing microplastics.
Article
Chemistry, Applied
Xiaofeng Xiao, Xiaodan Liu, Tingna Mei, Mengting Xu, Zelin Lu, Huang Dai, Fuwei Pi, Jiahua Wang
Summary: In this study, the potential risks of crayfish consumption caused by microplastic pollution were investigated. The researchers used LCM-Raman imaging and SEM to analyze crayfish samples exposed to different concentrations of microplastics. The results showed that LCM-Raman imaging was effective in identifying microplastics and could be used to quantitatively assess contamination levels. After 28 days of exposure, the accumulation of microplastics in crayfish reached a high level.
Article
Chemistry, Analytical
Shuo Duan, Xuyue Wu, Zaixi Shu, Anhong Xiao, Bo Chai, Fuwei Pi, Jiahua Wang, Huang Dai, Xiaodan Liu
Summary: An electrochemical sensor based on UiO-66(Zr) loaded curcumin (CCM) was designed for the sensitive detection of methyl parathion (MP). The electrode exhibited a wide linear range, low detection limit, excellent reproducibility and stability. It also showed outstanding sensing capabilities in the electrochemical detection of MP in vegetables and fruits samples.
MICROCHEMICAL JOURNAL
(2023)
Article
Agronomy
Jiahua Wang, Zelin Lu, Xiaofeng Xiao, Mengting Xu, Yuqing Lin, Huang Dai, Xiaodan Liu, Fuwei Pi, Donghai Han
Summary: This study utilized X-ray computed tomography for the non-destructive determination of internal defects in chestnuts during storage. The researchers developed an image processing pipeline to accurately identify various types of defective chestnuts.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2023)
Article
Spectroscopy
Jiahua Wang, Jingwen Lv, Tingna Mei, Mengting Xu, Chanchan Jia, Chuchu Duan, Huang Dai, Xiaodan Liu, Fuwei Pi
Summary: Raman spectroscopy can effectively characterize the thermal degradation of frying oils and provide excellent quantitative analysis ability for food control based on acid values (AVs).
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Food Science & Technology
Zaixi Shu, Yue Zou, Xuyue Wu, Qi Zhang, Yafang Shen, Anhong Xiao, Shuo Duan, Fuwei Pi, Xiaodan Liu, Jiahua Wang, Huang Dai
Summary: The abuse of organophosphate pesticides poses a serious threat to human health, affecting approximately 3 million people and causing over 2000 deaths annually. Therefore, it is important to determine the residue of fenitrothion (FT) in environmental and food samples. In this study, a non-enzymatic electrochemical sensor was developed, utilizing a differential pulse voltammetry signal output, for the detection of FT in model solutions and spiked samples. The sensor was designed using hydrothermally synthesized titanium-based metal-organic frameworks (MOFs) material (NH2-MIL-125(Ti))/reduced graphene oxide (RGO) (NH2-MIL-125(Ti)/RGO) nanocomposites, allowing for better target enrichment and electron transfer. The fabricated sensor exhibited high stability and reproducibility and showed excellent sensing performances for FT in spiked agricultural products. The convenient fabrication method of NH2-MIL-125(Ti)/RGO opens up new opportunities for the rational design of non-enzymatic detection methods for pesticides.
Article
Chemistry, Analytical
Huang Dai, Xuyue Wu, Shuo Duan, Zhanming Li, Qi Zhang, Yafang Shen, Jie Bi, Zaixi Shu, Anhong Xiao, Fuwei Pi, Xiaodan Liu, Jiahua Wang
Summary: In this study, a sensitive voltammetric electrochemical immunosensor was developed for the detection of aflatoxin B1 (AFB1). The immunosensor utilized anti-mouse immunoglobulin IgG labeled with curcumin@zeolitic imidazolate framework-8/polydopamine (CCM@ZIF-8/PDA/IgG) as a signal probe. The combination of CCM, PDA, and ZIF-8 enhanced the analytical performance of the immunosensor, which exhibited a linear detection range of 0.5 pg mL-1 to 10 ng mL-1 and a detection limit of 0.11 pg mL-1. The immunosensor showed excellent selectivity, long-term stability, and successful application in detecting AFB1 in rice and wheat samples with acceptable recoveries.
MICROCHEMICAL JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Xiaowei Zhang, Chunhui Liu, Wenhan Tian, Hui Zhang, Peirui Li, Jiahua Wang, Weiwei He
