Quantitative detection of zearalenone in wheat grains based on near-infrared spectroscopy

Ning, Hongwei; Wang, Jiawei; Jiang, Hui; Chen, Quansheng

doi:10.1016/j.saa.2022.121545

Cited by 37 publications

(14 citation statements)

References 29 publications

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“…The wavelength vector with the longest projection length was selected as the feature wavelength, and then based on the newly selected wavelength, the above projection process was repeated until the specified number of wavelengths was reached. The algorithm can select the wavelengths of important sample variables from a large number of spectral information, summarize most of the spectral information with a few columns of spectral data, reduce the complexity of the model, and effectively improve the speed and stability of the model 20 …”

Section: Methodsmentioning

confidence: 99%

“…The algorithm can select the wavelengths of important sample variables from a large number of spectral information, summarize most of the spectral information with a few columns of spectral data, reduce the complexity of the model, and effectively improve the speed and stability of the model. 20 For the stable and consistent wavelength set Uc based on gasoline octane number, the wavelength sets further selected by CARS, UVE, and SPA methods were denoted as SWCSS-CARS, SWCSS-UVE and SWCSS-SPA, respectively. The PLSR master calibration model was established on these three wavelength sets, so as to improve the prediction performance of the measured spectrum from the machine.…”

Section: Stable and Consistent Wavelength Optimization Based On Cars ...mentioning

confidence: 99%

“…15,16 Although the use of SWCSS algorithm reduced the number of wavelengths to a certain extent and simplified the model transfer process, this method may include highly correlated, uninformative, and unimportant wavelengths (variables) in the selection of consistent wavelengths, resulting in a decrease in the analysis ability of SWCSS-PLSR model for slave samples. Therefore, if the length optimization method of uninformative variable elimination (UVE), 17,18 competitive adaptive reweighted sampling (CARS), and successive projections algorithm (SPA) was used to eliminate the useless wavelengths in the SWCSS results, 19,20 it was beneficial to retain the important variables, and the ability to analyze the slave samples by using the remaining wavelengths to establish the master model will be enhanced. Therefore, in this study, 120 gasoline samples and their RON content measured by two IAS spectrometers were taken as the research objects.…”

Section: Introductionmentioning

confidence: 99%

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Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer

Wang

Yuan

et al. 2023

Journal of Chemometrics

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The purpose of model transfer is to solve the problem that multivariate calibration models cannot be shared among different near‐infrared spectrometers. Taking gasoline as the research object, the transfer analysis of its octane number model was carried out. The gasoline samples collected by two near‐infrared spectrometers of the same type were used as the research object. The screening wavelengths with consistent and stable signals (SWCSS) combined with competitive adaptive reweighted sampling (CARS), uninformative variable elimination (UVE), and successive projections algorithm (SPA) were used to reduce the adverse effects of invalid wavelengths in the SWCSS method; therefore, the analysis ability of the master model to the slave samples was improved. Partial least squares regression (PLSR) models based on SWCSS‐UVE, SWCSS‐CARS, and SWCSS‐SPA algorithms were established, and comparison was made between their analytical capabilities for slave samples and those of SWCSS, direct standardization (DS) algorithm , piecewise direct standardization (PDS) algorithm, and slope/bias (S/B) algorithm. The results shown that the SWCSS‐UVE and SWCSS‐CARS methods can be used to establish models from the 231 and 6 wavelengths selected from the consistent wavelengths, respectively. The root mean square error of prediction (RMSEP) of the gasoline octane number (RON) content of the direct analysis of the spectrum measured by the slave machine was reduced from 5.7490 to 0.3226 and 0.3250, respectively, which was better than the single SWCSS and DS, PDS, and SWCSS‐SPA methods, and was close to the model transfer accuracy of the S/B algorithm. The transfer accuracy of SWCSS‐UVE and SWCSS‐CARS was not much different, but the wavelength variable involved in the model transfer of the latter was much smaller than that of the former, and the AIC value of SWCSS‐CARS was −59.59, which was much smaller than the akaike information criterion (AIC) value of SWCSS‐UVE 398.42.

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Section: Methodsmentioning

confidence: 99%

Section: Stable and Consistent Wavelength Optimization Based On Cars ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer

Wang

Yuan

et al. 2023

Journal of Chemometrics

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“…Random frog (RF), successive projections algorithm (SPA), least absolute shrinkage, and selection operator were the three algorithms utilized to choose variables from the pre-processed NIR spectra (LASSO). In order to achieve the quantitative detection of the ZEN in wheat grains, SVM models were built based on the feature variables extracted by the aforementioned techniques and the LASSO-SVM model’s prediction effect proved to be more accurate [ 137 ].…”

Section: Instrumental Analysismentioning

confidence: 99%

Recent Advances in Mycotoxin Determination in Fish Feed Ingredients

et al. 2023

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Low-cost plant-based sources used in aquaculture diets are prone to the occurrence of animal feed contaminants, which may in certain conditions affect the quality and safety of aquafeeds. Mycotoxins, a toxic group of small organic molecules produced by fungi, comprise a frequently occurring plant-based feed contaminant in aquafeeds. Mycotoxin contamination can potentially cause significant mortality, reduced productivity, and higher disease susceptibility; thus, its timely detection is crucial to the aquaculture industry. The present review summarizes the methodological advances, developed mainly during the past decade, related to mycotoxin detection in aquafeed ingredients, namely analytical, chromatographic, and immunological methodologies, as well as the use of biosensors and spectroscopic methods which are becoming more prevalent. Rapid and accurate mycotoxin detection is and will continue to be crucial to the food industry, animal production, and the environment, resulting in further improvements and developments in mycotoxin detection techniques.

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“…These methods include thin layer chromatography (TLC) [8,9], gas chromatography-mass spectrometry (GC-MS) [10,11], liquid chromatography fluorescence (LC-FL) [12] and high performance liquid chromatography (HPLC) [13,14]. Even though chromatographic methods display high precision and sensitivity, the side effects such as high cost of reagents, expensive instrumentation, need for professional operators and tedious sample processing steps make these methods not suitable for rapid and on-site determination of ZEN [1, 15,16]. In contrast, enzyme-linked immunosorbent assay (ELISA) displays the advantages of low cost, good specificity and trace detection [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Novel and Label-Free Chemiluminescence Detection of Zearalenone Based on a Truncated Aptamer Conjugated with a G-Quadruplex DNAzyme

Guan

Neng

et al. 2023

Biosensors

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Zearalenone (ZEN), one of the most frequently occurring mycotoxin contaminants in foods and feeds, poses considerable threat to human and animal health, owing to its acute and chronic toxicities. Thus, rapid and accurate detection of ZEN has attracted broad research interest. In this work, a novel and label-free chemiluminescence aptasensor based on a ZEN aptamer and a G-quadruplex DNAzyme was constructed. It was established on a competitive assay between ZEN and an auxiliary DNA for the aptamer, leading to activation of the G-quadruplex/hemin DNAzyme and subsequent signal amplification by chemiluminescence generation after substrate addition. To maximize the detection sensitivity, numerous key parameters including truncated aptamers were optimized with molecular docking analysis. Upon optimization, our aptasensor exhibited a perfect linear relationship (R2 = 0.9996) for ZEN detection in a concentration range of 1–100 ng/mL (3.14–314.10 nM) within 40 min, achieving a detection limit of 2.85 ng/mL (8.95 nM), which was a 6.7-fold improvement over that before optimization. Most importantly, the aptasensor obtained a satisfactory recovery rate of 92.84–137.27% and 84.90–124.24% for ZEN-spiked wheat and maize samples, respectively. Overall, our label-free chemiluminescence aptasensor displayed simplicity, sensitivity, specificity and practicality in real samples, indicating high application prospects in the food supply chain for rapid detection of ZEN.

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Quantitative detection of zearalenone in wheat grains based on near-infrared spectroscopy

Cited by 37 publications

References 29 publications

Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer

Application of stable consistency wavelength in optimizing gasoline RON near‐infrared analysis model transfer

Recent Advances in Mycotoxin Determination in Fish Feed Ingredients

A Novel and Label-Free Chemiluminescence Detection of Zearalenone Based on a Truncated Aptamer Conjugated with a G-Quadruplex DNAzyme

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