FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3198862385> ?p ?o ?g. }

• W3198862385 abstract "Abstract The total acid content of Daqu during fermentation directly influences the quality of the Daqu. Hyperspectral imaging (HSI) was used to rapidly and accurately detect the total acid content of Daqu. The performances of two spectral ranges obtained by two hyperspectral cameras for Daqu total acid content were compared. Different pretreatment methods were used to build the partial least squares regression (PLSR) model, and the optimal pretreatment for the corresponding spectra was determined. A combination of principal component analysis (PCA) and successive projection algorithm (SPA) was used to select the feature wavelengths. The PCA algorithm optimized by SPA was more accurate than the PCA algorithm alone when extracting the feature wavelengths. PLSR, backpropagation neural network (BP), and the backpropagation‐genetic algorithm (BP‐GA) model were developed to predict the total acid content of the Daqu samples by using the full wavelengths and feature wavelengths, respectively. The predictive performance of each model was compared and analyzed. The optimal model was the MSC + PCA‐SPA+BP‐GA model ( = 0.8832, RMSEC = 0.1163, = 0.9724, RMSEP = 0.0593, RPD = 4.2860, AB_RMSE = 0.0570). In addition, the distribution of total acid content within the region of interest (ROI) of Daqu samples was visualized at different fermentation stages using the optimized model. These results show that HSI technology can rapidly and precisely detect the total acid content of Daqu and visualize the content distribution, which provides important technical support for upgrading and transforming the liquor. Practical Applications Daqu is the saccharifying agent, leavening agent, and aroma‐generating agent of liquor brewing. During the fermentation process, the total acid content is an important indicator for the quality evaluation of Daqu. Therefore, it is highly significant to detect the total acid content in Daqu quickly and accurately. The HSI technique is widely used to detect the contents of various substances in food. In this study, the HSI technique combining the PCA‐SPA and BP‐GA algorithms was established to detect the total acid content of Daqu, and a satisfactory result was obtained, showing that HSI technology combined with an optimized algorithm could be used to realize rapid and accurate detection of the total acid content of Daqu. In addition, the predictive model proposed in this study is not only applicable for detecting other food substances but also this method has great potential for real‐time indicators detection in winery for future work." @default.
• W3198862385 created "2021-09-13" @default.
• W3198862385 creator A5004874624 @default.
• W3198862385 creator A5011822193 @default.
• W3198862385 creator A5022634051 @default.
• W3198862385 creator A5024010764 @default.
• W3198862385 creator A5046756455 @default.
• W3198862385 creator A5064954907 @default.
• W3198862385 creator A5081128487 @default.
• W3198862385 date "2021-09-04" @default.
• W3198862385 modified "2023-10-09" @default.
• W3198862385 title "Detecting total acid content quickly and accurately by combining hyperspectral imaging and an optimized algorithm method" @default.
• W3198862385 cites W1973413475 @default.
• W3198862385 cites W1982080019 @default.
• W3198862385 cites W1984379652 @default.
• W3198862385 cites W1990857922 @default.
• W3198862385 cites W1995488333 @default.
• W3198862385 cites W2002499531 @default.
• W3198862385 cites W2036097478 @default.
• W3198862385 cites W2045742044 @default.
• W3198862385 cites W2048647540 @default.
• W3198862385 cites W2055563201 @default.
• W3198862385 cites W2064302680 @default.
• W3198862385 cites W2162855759 @default.
• W3198862385 cites W2201726142 @default.
• W3198862385 cites W2219101457 @default.
• W3198862385 cites W2506217438 @default.
• W3198862385 cites W2548878763 @default.
• W3198862385 cites W2600338477 @default.
• W3198862385 cites W2749795733 @default.
• W3198862385 cites W2752160709 @default.
• W3198862385 cites W2760317736 @default.
• W3198862385 cites W2883827111 @default.
• W3198862385 cites W2907164533 @default.
• W3198862385 cites W2937692437 @default.
• W3198862385 cites W2990731812 @default.
• W3198862385 cites W3006148482 @default.
• W3198862385 cites W3006743695 @default.
• W3198862385 cites W3017164408 @default.
• W3198862385 cites W3017699233 @default.
• W3198862385 cites W3022306531 @default.
• W3198862385 cites W3028231515 @default.
• W3198862385 cites W3043585825 @default.
• W3198862385 cites W3045802260 @default.
• W3198862385 cites W3088277467 @default.
• W3198862385 cites W3088800960 @default.
• W3198862385 cites W3130132431 @default.
• W3198862385 cites W3159056856 @default.
• W3198862385 cites W3162621183 @default.
• W3198862385 cites W562757484 @default.
• W3198862385 doi "https://doi.org/10.1111/jfpe.13844" @default.
• W3198862385 hasPublicationYear "2021" @default.
• W3198862385 type Work @default.
• W3198862385 sameAs 3198862385 @default.
• W3198862385 citedByCount "5" @default.
• W3198862385 countsByYear W31988623852022 @default.
• W3198862385 countsByYear W31988623852023 @default.
• W3198862385 crossrefType "journal-article" @default.
• W3198862385 hasAuthorship W3198862385A5004874624 @default.
• W3198862385 hasAuthorship W3198862385A5011822193 @default.
• W3198862385 hasAuthorship W3198862385A5022634051 @default.
• W3198862385 hasAuthorship W3198862385A5024010764 @default.
• W3198862385 hasAuthorship W3198862385A5046756455 @default.
• W3198862385 hasAuthorship W3198862385A5064954907 @default.
• W3198862385 hasAuthorship W3198862385A5081128487 @default.
• W3198862385 hasConcept C105795698 @default.
• W3198862385 hasConcept C11413529 @default.
• W3198862385 hasConcept C119857082 @default.
• W3198862385 hasConcept C134306372 @default.
• W3198862385 hasConcept C138885662 @default.
• W3198862385 hasConcept C139945424 @default.
• W3198862385 hasConcept C153180895 @default.
• W3198862385 hasConcept C154945302 @default.
• W3198862385 hasConcept C155032097 @default.
• W3198862385 hasConcept C159078339 @default.
• W3198862385 hasConcept C186060115 @default.
• W3198862385 hasConcept C22354355 @default.
• W3198862385 hasConcept C27438332 @default.
• W3198862385 hasConcept C2776401178 @default.
• W3198862385 hasConcept C2778152352 @default.
• W3198862385 hasConcept C33923547 @default.
• W3198862385 hasConcept C41008148 @default.
• W3198862385 hasConcept C41895202 @default.
• W3198862385 hasConcept C50644808 @default.
• W3198862385 hasConcept C86803240 @default.
• W3198862385 hasConceptScore W3198862385C105795698 @default.
• W3198862385 hasConceptScore W3198862385C11413529 @default.
• W3198862385 hasConceptScore W3198862385C119857082 @default.
• W3198862385 hasConceptScore W3198862385C134306372 @default.
• W3198862385 hasConceptScore W3198862385C138885662 @default.
• W3198862385 hasConceptScore W3198862385C139945424 @default.
• W3198862385 hasConceptScore W3198862385C153180895 @default.
• W3198862385 hasConceptScore W3198862385C154945302 @default.
• W3198862385 hasConceptScore W3198862385C155032097 @default.
• W3198862385 hasConceptScore W3198862385C159078339 @default.
• W3198862385 hasConceptScore W3198862385C186060115 @default.
• W3198862385 hasConceptScore W3198862385C22354355 @default.
• W3198862385 hasConceptScore W3198862385C27438332 @default.
• W3198862385 hasConceptScore W3198862385C2776401178 @default.
• W3198862385 hasConceptScore W3198862385C2778152352 @default.

• next