Article
Automation & Control Systems
Chengsi Du, Laijun Sun, Hongyi Bai, Yi Liu, Jun Yang, Xing Wang
Summary: In this study, a model using NIRS technology was developed to accurately detect the content of ADA in wheat flour. The two-step feature selection method was proven to be effective for feature selection. The results demonstrated that NIRS technology could be utilized for accurate detection of ADA in flour.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2021)
Article
Food Science & Technology
A. Unuvar, I. H. Boyaci, S. Yazar, H. Koksel
Summary: ATR-FTIRS, NIRS, and SFS combined with chemometrics were used to determine common wheat flour in durum wheat flour and common wheat farina addition to durum wheat pasta. Among the tested spectroscopic methods, ATR-FTIRS had the lowest limit of detection (LOD) values and better specificity and accuracy for the detection of adulteration.
JOURNAL OF CEREAL SCIENCE
(2023)
Article
Food Science & Technology
Manju Bala, Swati Sethi, Sanjula Sharma, D. Mridula, Gurpreet Kaur
Summary: This study developed a Near-infrared spectroscopy based prediction method for quantifying maize flour adulteration in chickpea flour. Various calibration models were tested, with the MPLSR model ultimately being selected for quantification. Cross validation and external validation confirmed the accuracy of the developed model.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2022)
Article
Agriculture, Multidisciplinary
Manju Bala, Swati Sethi, Sanjula Sharma, D. Mridula, Gurpreet Kaur
Summary: In this study, rapid NIRS-based analytical methods were developed to detect two cheap adulterants in chickpea flour. The statistics confirmed that these methods are robust and have potential for use in detecting food fraud.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Chemistry, Analytical
Zhuopin Xu, Weimin Cheng, Shuang Fan, Jie Liu, Haiping Wang, Xiaohong Li, Binmei Liu, Yuejin Wu, Pengfei Zhang, Qi Wang
Summary: The research used NIR spectroscopic analysis and data fusion method to improve the accuracy of rice flour composition analysis. The results showed that the best prediction accuracy could be achieved through data fusion of NIRr-NIRt (1 der), outperforming models using NIRr and NIRt separately.
ANALYTICA CHIMICA ACTA
(2022)
Article
Instruments & Instrumentation
Tongshuai Han, Jin Liu, Rong Liu, Wenliang Chen, Mingfei Yao, Xueyu Liu, Qing Ge, Zengfu Zhang, Chenxi Li, Yuxiang Wang, Picheng Zhao, Di Sun, Kexin Xu
Summary: This study investigates a measurement strategy based on near-infrared spectroscopy to effectively detect glucose signals in a noninvasive manner. The strategy includes a customized detector and a fixing and aiming method to minimize the influence of human variations and probing conditions. Experimental results demonstrate the feasibility of the proposed strategy in detecting glucose in vivo.
APPLIED SPECTROSCOPY
(2022)
Review
Biochemistry & Molecular Biology
Charlotte Delrue, Sander De Bruyne, Marijn M. Speeckaert
Summary: Traditional renal biomarkers are insensitive for early detection of kidney disease. Infrared spectroscopy offers a label-free and non-destructive method for quick and inexpensive diagnosis of kidney disorders. This review provides an overview of the applications of near- and mid-infrared spectroscopy in patients with acute kidney injury and chronic kidney disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biochemical Research Methods
Luwei Zhang, Fuli Xin, Zhixiong Cai, Hong Zhao, Xiaolong Zhang, Cuiping Yao
Summary: The study developed a colorimetric strategy based on the MnO2 nanosheets-3,3',5,5'-tetramethylbenzidine (TMB)-glutathione (GSH) oxidative sensing system for the detection of ADA. This method can effectively and rapidly detect ADA additives in flour with a linear range of 10 to 400 mu mol L-1 and a limit of detection of 3.3 mu mol L-1.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2021)
Article
Food Science & Technology
Jiayi Hang, Da Shi, Jason Neufeld, Kirstin E. Bett, James D. House
Summary: This study developed near-infrared reflectance spectroscopy models to predict the protein and amino acid contents in lentil seeds. The results showed that the models achieved good statistical results and had the potential for rapid and accurate prediction of these nutritional components in lentils.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Food Science & Technology
Huseyin Ayvaz, Fatma Korkmaz, Havva Polat, Zayde Ayvaz, Necati Baris Tuncel
Summary: Einkorn wheat, an ancient grain with limited production, is often adulterated due to its high price and weaker gluten structure. Both Computer-Based Image (CBI) Analysis and Near-Infrared Spectroscopy (NIRS) methods were found effective in screening wheat flour adulteration in einkorn bread and flour mixtures, with NIRS being more recommended for flour mixtures.
Article
Chemistry, Applied
Eszter Benes, Barbara Biro, Marietta Fodor, Attila Gere
Summary: Insects are gaining attention as food ingredients in the food and feed sectors. However, there are concerns regarding the adulteration and quality control of insect-based products. This paper analyzes seven different species of edible insect powders and successfully differentiates both the powders of different species and the mixtures with different amounts of wheat flour using near infrared spectroscopy and chemometric methods. The proposed methodology provides an excellent tool for quality control of insect-based cereal food products.
Article
Chemistry, Multidisciplinary
Eleni Kasapidou, Vasileios Papadopoulos, Paraskevi Mitlianga
Summary: The study explored the potential application of near infrared reflectance (NIR) spectroscopy for estimating the chemical composition of traditional sausages. The calibration model showed high precision in predicting fat content, and good accuracy in estimating moisture and protein content. External validation confirmed the ability of NIR spectroscopy to predict the chemical composition of sausages.
APPLIED SCIENCES-BASEL
(2021)
Article
Pharmacology & Pharmacy
Hao Fu, Kaixuan Teng, Jie Zhao, Sheng Zhang, Haibin Qu
Summary: A novel approach using diffuse reflectance near-infrared spectroscopy was developed to detect bed fluidity in gas-solid fluidized beds. Two indicators, bubble proportion and skewness, were investigated to characterize bed fluidity. The results show that both indicators are sensitive to changes in bed fluidity and can be used for monitoring and early warning of bed fluidization in a granulation process.
Article
Instruments & Instrumentation
Chengsi Du, Laijun Sun, Hongyi Bai, Zhide Zhao, Xiaoxu Li, Zhaodong Gai
Summary: This study quantitatively detected the content of talcum powder in wheat flour using near-infrared spectroscopy (NIRS). By applying sample partitioning and feature selection methods, a detection model was established with promising prediction performance. The findings are of great significance for efficient, nondestructive, and rapid detection of talcum powder in wheat flour.
INFRARED PHYSICS & TECHNOLOGY
(2022)
Article
Spectroscopy
Chen Yang, Xiaodan Ma, Haiou Guan, Bowen Fan
Summary: This study proposes a rapid detection method for different growth stages of Pleurotus eryngii mycelium based on the characteristics of near-infrared spectroscopy. The method uses multivariate scattering correction and competitive adaptive reweighted sampling algorithms to establish a mathematical model between the mycelium and the characteristic wave number. The results show a 99.67% accuracy in identifying different growth stages of Pleurotus eryngii mycelium.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)