Article
Engineering, Chemical
Adria Nirere, Jun Sun, Rakhwe Kama, Vincent Akolbire Atindana, Felix Didier Nikubwimana, Keza Dominique Dusabe, Yuhao Zhong
Summary: In this study, a rapid and nondestructive detection method using hyperspectral imaging technology was utilized to detect adulterants in Lycium Chinense. The results showed that the support vector machine model based on competitive adaptive reweighted sampling and linear discriminant analysis provided the best classification performance, allowing for the rapid detection of sulfur adulteration in L. Chinense.
JOURNAL OF FOOD PROCESS ENGINEERING
(2023)
Article
Spectroscopy
Guangxin Ren, Jingming Ning, Zhengzhu Zhang
Summary: This study aims to rapidly assess the quality of dianhong black tea using a multi-variable selection strategy combined with machine learning algorithms and NIR technology. The results demonstrate that the IGA-PSO-SVM model achieves high accuracy in discriminating black tea quality.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Environmental Sciences
Claudio Marchesi, Monika Rani, Stefania Federici, Ivano Alessandri, Irene Vassalini, Serena Ducoli, Laura Borgese, Annalisa Zacco, Avelino Nunez-Delgado, Elza Bontempi, Laura E. Depero
Summary: The widespread distribution of plastics and microplastics and their resistance to decay is having a negative impact on the environment. Microplastics are considered emerging contaminants of concern across all environments. Portable spectrometers coupled with chemometric tools have shown potential for polymer analysis and environmental applications. This study demonstrates the use of a Miniaturized Near-Infrared (MicroNIR) spectrometer for quantitative analysis of microplastic mixtures.
ENVIRONMENTAL RESEARCH
(2023)
Article
Spectroscopy
Xuexue Miao, Ying Miao, Haoru Gong, Shuhua Tao, Zuwu Chen, Jiemin Wang, Yingzi Chen, Yancheng Chen
Summary: Fast determination of heavy metals in crops is important for ensuring safety. Near-infrared spectroscopy combined with chemometric technology shows potential for quantitative analysis of cadmium in rice. Different chemometric tools were proposed to extract and optimize spectral intervals from full-spectrum data, with performances of calibration models compared and evaluated. Results showed that PLS models based on four chemometric algorithms outperformed the full-spectrum model, with biPLS performing best for cadmium content in rice.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Instruments & Instrumentation
Liusan Wang, Ziliang Huang, Rujing Wang
Summary: The study proposed a method for identifying cracked soybean seeds using near-infrared spectroscopy and random forest variable selection, achieving a classification accuracy of 80% to 84% with algorithms like recursive feature elimination. The results indicate that moisture, amorphous cellulose, and fiber content are key factors in distinguishing cracked from normal soybean seeds.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Agriculture, Multidisciplinary
Ge Jin, Yifan Xu, Chuanjian Cui, Yuanyuan Zhu, Jianfa Zong, Huimei Cai, Jingming Ning, Chaoling Wei, Ruyan Hou
Summary: This study demonstrates the rapid identification of Taiping Houkui (TPHK) green tea of narrow geographical origin using Fourier-transform near-infrared (FT-NIR) spectroscopy. The optimized variable selection method in combination with NIR spectroscopy represents a suitable strategy for tea traceability in narrow regions.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Chemistry, Analytical
XueXue Miao, Ying Miao, ShuHua Tao, DengBiao Liu, Zuwu Chen, JieMin Wang, WeiDong Huang, YaYing Yu
Summary: The study explored the potential of using NIRS coupled with chemometric methods to distinguish rice samples of different storage years. Through principal components analysis and comparison of pattern recognition methods, the effectiveness of this technology in classifying rice from different storage years was confirmed, providing a new method for evaluating rice freshness in the market.
MICROCHEMICAL JOURNAL
(2021)
Article
Biochemical Research Methods
Jiuba Zhang, Yu Li, Bin Wang, Jiantao Song, Mingxuan Li, Peng Chen, Zheyuan Shen, Yi Wu, Chunqin Mao, Hui Cao, Xiachang Wang, Wei Zhang, Tulin Lu
Summary: It is difficult to measure the impact of processing methods on the active components and clinical efficacy of herbal medicine. Radix Paeoniae Alba (RPA) and its processed products have diverse clinical efficacies. However, different processed products are sometimes used interchangeably in clinical practice. Hence, it is necessary to strictly control the quality of RPA and its processed products. A comprehensive strategy combining near-infrared (NIR) spectroscopy with multivariate algorithms was proposed to rapidly evaluate the effect of processing methods on the quality of RPA. This strategy allows for qualitative differentiation of RPA and processed products, as well as quantitative prediction of bioactive components.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Plant Sciences
Ying Li, Brian K. Via, Feifei Han, Yaoxiang Li, Zhiyong Pei
Summary: Visible and near-infrared (Vis-NIR) spectroscopy is widely used for qualitative and quantitative analysis. Chemometric techniques are important for extracting useful information from spectral data, and this study compared different chemometric approaches for wood density determination in various tree species and geographical locations. The study also used optimization algorithms to improve the performance of machine learning models. The results showed that the optimal chemometric method varied depending on the tree species and location, and the appropriate method should be selected before building calibration models.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Spectroscopy
Rabie Reda, Taoufiq Saffaj, Ilham Bouzida, Ouadi Saidi, Malika Belgrir, Brahim Lakssir, El Mestafa El Hadrami
Summary: This study explores the use of near infrared spectroscopy (NIRS) in predicting key quality parameters of olive oil to address the limitations of traditional chemical tests. By conducting chemical analysis and obtaining spectra, the relationship between wavelengths and chemical data was established using machine learning and variable selection algorithms to accurately predict the acidity of olive oil. The results show that NIRS can accurately predict the acidity, while the prediction performance for K232 and K270 is moderate.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Environmental Sciences
Peng Guo, Ting Li, Han Gao, Xiuwan Chen, Yifeng Cui, Yanru Huang
Summary: In this study, 56 calibration methods were explored for modeling and predicting soil nutrients using hyperspectral Vis-NIR data. The results showed that first-order derivatives based on logarithmic and inverse transformations provided better predictions for available potassium and phosphorous, while the best transformation for organic matter was SG+MSC. CARS was better than SPA in selecting effective variables, and the PLSR model outperformed the SVM models. Overall, organic matter prediction was superior, followed by available phosphorous, and then available potassium.
Article
Instruments & Instrumentation
Kewei Huan, Xiao Chen, Xuyao Song, Wei Dong
Summary: With the development of information technology, the study utilized a near infrared spectroscopy system for quantitative detection of protein in wheat. The AWVCPA-PLS prediction model demonstrated high accuracy and robust performance, providing an important theoretical basis for evaluating wheat in the food engineering sector.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Instruments & Instrumentation
Ziniu Zhao, Yihan Liu, Shuo Yang, Yurong Li, Yeshun Zhang, Hui Yan
Summary: In this study, the near-infrared spectra of mulberry leaves were recorded by a portable NIR spectrometer, and the spectral data were preprocessed using the first derivative and standard normal variate. The sensitive variables were selected using CARS, RF, and UVE, and a calibration model based on PLS regression was established. The model was validated, showing robustness with RMSEP of 2.59 and R2P of 0.7105. Therefore, the portable NIR spectrometer can be used for on-site and in-field detection of mulberry leaf tenderness, which is beneficial for the sericulture industry.
INFRARED PHYSICS & TECHNOLOGY
(2023)
Article
Chemistry, Physical
Peng Li, Junchao Ma, Nan Zhong
Summary: This study attempted to determine the storage time and freshness of salmon fillets using Fourier transform near-infrared (FT-NIR) spectroscopy and advanced variable selection methods. The results showed that the prediction models based on variable selection methods exhibited good performance in predicting the freshness of salmon fillets stored at different temperatures.
JOURNAL OF MOLECULAR STRUCTURE
(2022)
Article
Automation & Control Systems
Leila Belmerhnia, El-Hadi Djermoune, Cedric Carteret, David Brie
Summary: This paper addresses the issue of wood wastes recycling automation by proposing variable selection methods based on near infrared spectroscopic data to improve sorting performances. By jointly modeling spectra and formulating variable selection as an unconstrained simultaneous sparse approximation problem, the study demonstrates that the selected variables lead to better classification performances.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2021)
Review
Food Science & Technology
Md Mehedi Hassan, Yi Xu, Muhammad Zareef, Huanhuan Li, Yawen Rong, Quansheng Chen
Summary: The abuse of pesticides in agricultural land can cause residue increase and environmental pollution, ultimately affecting human health. Detecting trace amounts of residue in food and water is crucial. Recently, nanomaterial-based optical detection methods have gained interest due to their high sensitivity, low detection limit, and good selectivity. This review focuses on the application of these methods to monitor benzimidazole fungicide residue in food and water samples.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Review
Chemistry, Applied
Haroon Elrasheid Tahir, Muhammad Arslan, Gustav Komla Mahunu, Abdalbasit Adam Mariod, Sulafa B. H. Hashim, Zou Xiaobo, Shi Jiyong, Hesham R. El-Seedi, Taha H. Musa
Summary: The global market for imported, high-quality priced foods has grown significantly in the past decade, leading to a stronger demand for accurate origin labeling of food products. This review discusses the efforts made in using analytical tools and multivariate analysis for the verification of the geographical origin of oils, as well as trends in geographical authentication research and preferred journals for dissemination. Overall, this article provides a useful guideline for the food industry and quality control authorities in selecting appropriate methods for authenticating oils.
Article
Chemistry, Applied
Muhammad Arslan, Muhammad Zareef, Haroon Elrasheid Tahir, Ziang Guo, Allah Rakha, Hu Xuetao, Jiyong Shi, Li Zhihua, Zou Xiaobo, Moazzam Rafiq Khan
Summary: A smartphone-based colorimetric sensor array system was established for discriminating rice varieties based on their geographical origins. By analyzing volatile compounds of rice, the system successfully differentiated rice varieties with 100% discrimination rate using principal component analysis, hierarchical clustering analysis, and k nearest neighbors algorithm.
Article
Food Science & Technology
Muhammad Arslan, Muhammad Zareef, Haroon Elrasheid Tahir, Junjun Zhang, Waqas Ahmad, Allah Rakha, Jiyong Shi, Zou Xiaobo, Moazzam Rafiq Khan
Summary: This study successfully developed a colorimetric sensor array system for rapid discrimination of adulterants in premium grade basmati rice. By utilizing PCA, HCA, and kNN algorithms, the system showed good discrimination between authentic and adulterated samples, demonstrating its effectiveness in detecting food fraud.
Review
Food Science & Technology
Hao Lin, Hao Jiang, Selorm Yao-Say Solomon Adade, Wencui Kang, Zhaoli Xue, Muhammad Zareef, Quansheng Chen
Summary: This article discusses the importance of food quality and nutrition and introduces VOCs analysis techniques for assessing food quality. These techniques are nondestructive, convenient, and environmentally friendly and can be applied to the transportation, storage, and processing of food.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Chemistry, Applied
Sulafa B. H. Hashim, Haroon Elrasheid Tahir, Li Liu, Junjun Zhang, Xiaodong Zhai, Amer Ali Mahdi, Faisal Nureldin Awad, Mahmoud M. Hassan, Zou Xiaobo, Shi Jiyong
Summary: The study developed a novel pH colorimetric film using sugarcane wax for monitoring shrimp freshness, demonstrating good physical and mechanical properties as well as complete protection against UV light.
Review
Food Science & Technology
Ngouana Moffo A. Ivane, Suleiman A. Haruna, Marcillinus Zekrumah, Fopa Kue Romeo Elyse, Mohamed Osman Hassan, Sulafa B. H. Hashim, Haroon Elrasheid Tahir, Di Zhang
Summary: This article summarizes the chemical components, sensory mechanisms, and potential signaling pathways associated with the therapeutic activity of Sichuan pepper. It emphasizes the importance of reducing organic solvent consumption and increasing the use of sustainable techniques.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Food Science & Technology
Xiaowei Huang, Ning Zhang, Zhihua Li, Jiyong Shi, Haroon Elrasheid Tahir, Yue Sun, Yang Zhang, Xinai Zhang, Melvin Holmes, Xiaobo Zou
Summary: In this study, a rapid and accurate quantification detection method for carbendazim residues was developed using a combination of surface-enhanced Raman spectroscopy (SERS) and variable selection regression methods. By fabricating three-dimensional (3D) SERS substrates with higher sensitivity and greater density of hot spots, the SERS signal of carbendazim was captured and amplified. Among the four Raman spectral variable selection regression models, the bootstrapping soft shrinkage-partial least squares (BOSS-PLS) method showed the best predictive capacity after variable selection, with a correlation coefficient (R-P) of 0.992 for the final BOSS-PLS model. The method was used to detect carbendazim residue in apple samples, achieving recoveries of 86% to 116% and relative standard deviation (RSD) of less than 10%. The combination of 3D SERS substrates and the BOSS-PLS algorithm provides a simple and accurate method for trace detection of carbendazim residues in apples.
Article
Chemistry, Applied
Sulafa B. H. Hashim, Haroon Elrasheid Tahir, Li Lui, Junjun Zhang, Xiaodong Zhai, Amer Ali Mahdi, Nosyba A. Ibrahim, Gustav Komla Mahunu, Mahmoud M. Hassan, Zou Xiaobo, Shi Jiyong
Summary: An innovative pH-colorimetric sensor film was developed using agar and methylcellulose matrix (AM) combined with sunflower wax (SFW) and purple Chinese cabbage (CPC) anthocyanins. The film showed significant color variations in acidic and alkaline pH levels, as well as changes due to ammonia vapor. The addition of SFW improved the mechanical, thermal, and antioxidant properties of the film, while reducing anthocyanin release. Moreover, the film effectively defended against UV-vis and visible light. The results demonstrated the effectiveness of the pH-colorimetric film in evaluating the freshness of chicken breast.
Article
Biochemistry & Molecular Biology
Zhikun Yang, Mingrui Li, Xiaodong Zhai, Ling Zhao, Haroon Elrasheid Tahir, Jiyong Shi, Xiaobo Zou, Xiaowei Huang, Zhihua Li, Jianbo Xiao
Summary: In this study, bilayer films incorporating sodium alginate (SA)/tea tree essential oil nanoemulsion (TEON) and different contents of TiO2 nanoparticles were fabricated. The addition of TiO2 significantly improved the UV blocking and barrier properties of the films, while a higher content of TiO2 decreased the barrier property. The retention of tea tree essential oil in the film was prolonged by adding TiO2. Treatment with the SA-TiO2 + SA-TEON film-forming solution significantly improved the postharvest quality and anthracnose resistance of bananas.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Article
Chemistry, Applied
Haroon Elrasheid Tahir, Abdalbasit Adam Mariod, Sulafa B. H. Hashim, Muhammad Arslan, Gustav Komla Mahunu, Huang Xiaowei, Li Zhihua, Isameldeen I. H. Abdalla, Zou Xiaobo
Summary: Gas chromatography-mass spectrometry (GC-MS) and Fourier transform infrared spectroscopy (FT-NIR) combined with chemometrics were used to identify the geographical origin of Black Mahlab Seeds (BMSs) and showed good classification and prediction performance.
Article
Chemistry, Applied
Xiaowei Huang, Liuzi Du, Zhihua Li, Jin Xue, Jiyong Shi, Haroon Elrasheid Tahir, Xiaodong Zhai, Junjun Zhang, Ning Zhang, Wei Sun, Xiaobo Zou
Summary: A bilayer film (BIF) was developed to enhance the stability of an anthocyanin-based freshness indicator film. The BIF consisted of a sensor layer made of gellan gum (GG) and mulberry anthocyanin (MAE) for freshness indication, and an oxygen barrier layer composed of chitosan (CS), polyvinyl alcohol (PVA), sodium alginate (SA), and pullulan (Pu) to protect MAE from oxidation. The BIF exhibited a high antioxidant activity of 91.28%. It was successfully used to monitor the freshness of Chinese mitten crab, showing a visible color change from pink to dark green as the total volatile basic nitrogen (TVBN) level increased to 31.23 mg/100 g on day 8. The study demonstrated that BIF can be applied for freshness monitoring in commercial environments.
Article
Agriculture, Multidisciplinary
Muhammad Zareef, Muhammad Arslan, Md Mehedi Hassan, Waqas Ahmad, Quansheng Chen
Summary: This study compared two machine learning approaches for the quantification of total polyphenols using the Si-PLS model. The models were optimized using GA and CARS to enhance resilience. The performance of the Si-GA-PLS and Si-CARS-PLS models were evaluated, with the latter showing better results.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Spectroscopy
Muhammad Zareef, Muhammad Arslan, Md Mehedi Hassan, Waqas Ahmad, Huanhuan Li, Suleiman A. Haruna, Malik Muhammad Hashim, Qin Ouyang, Quansheng Chen
Summary: This study used a combination of colorimetric sensor array (CSA) and mobile near-infrared (NIR) spectroscopy to predict the free fatty acids in wheat flour. The mid-level fusion coupled partial least squares (PLS) model showed superior data fusion results with higher correlation coefficients (RC = 0.8793), lower root mean square error of prediction (RMSEP = 6.99 mg/100 g), and higher residual predictive deviation (RPD = 2.27). The findings suggest that the NIR-CSA fusion approach can effectively predict free fatty acids in wheat flour.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Review
Nutrition & Dietetics
Hesham R. El-Seedi, Nehal Eid, Aida A. Abd El-Wahed, Mostafa E. Rateb, Hanan S. Afifi, Ahmed F. Algethami, Chao Zhao, Yahya Al Naggar, Sultan M. Alsharif, Haroon Elrasheid Tahir, Baojun Xu, Kai Wang, Shaden A. M. Khalifa
Summary: This review discusses the effects of bee products, such as propolis, royal jelly, honey, bee venom, and bee pollen, on inflammatory and autoimmune diseases. These bee products or their chemical constituents demonstrate potential therapeutic effects in regulating the production of inflammatory mediators and improving immune responses.
FRONTIERS IN NUTRITION
(2022)
