Prediction of protein and oil contents in soybeans using fluorescence excitation emission matrix

Saito, Yoshito; Itakura, Kenta; Kuramoto, Makoto; Kaho, Toshikazu; Ohtake, Norikuni; Hasegawa, Hideo; Suzuki, Tetsuhito; Kondo, Naoshi

doi:10.1016/j.foodchem.2021.130403

Cited by 22 publications

(9 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The RMSE can be misleading without taking into account the standard deviation of the predicted value of the model. For example, if the RMSE is the same as the SD y i , then the calibration is essentially predicting the population mean …”

Section: Methodsmentioning

confidence: 99%

Rapid and Solvent-Free Method for the Direct Quantification of Polycyclic Aromatic Hydrocarbons in Refined Maize and Rapeseed Oils

Ho,

Sukarti,

Elejalde

2023

ACS Food Sci. Technol.

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Rapid and Solvent-Free Method for the Direct Quantification of Polycyclic Aromatic Hydrocarbons in Refined Maize and Rapeseed Oils

Ho,

Sukarti,

Elejalde

2023

ACS Food Sci. Technol.

View full text Add to dashboard Cite

“…Soybean is rich in protein, accounting for about 40% of the dry weight (Saito et al., 2021). Precipitation and flocculation of soybean protein are also key step in tofu formation.…”

Section: Effects Of Ultrasound On Morphology Size Functional Properti...mentioning

confidence: 99%

Application of ultrasound and its real‐time monitoring of the acoustic field during processing of tofu: Parameter optimization, protein modification, and potential mechanism

Xue

Zhang

Chen³

et al. 2023

Comp Rev Food Sci Food Safe

View full text Add to dashboard Cite

Tofu is nutritious, easy to make, and popular among consumers. At present, traditional tofu production has gradually become perfect, but there are still shortcomings, such as long soaking time, serious waste of water resources, and the inability to realize orders for production at any time. Moreover, tofu production standards have not yet been clearly defined, with large differences in quality between them, which is not conducive to industrialized and large-scale production. Ultrasound has become a promising green processing technology with advantages, such as high extraction rate, short processing time, and ease of operation. This review focused on the challenges associated with traditional tofu production during soaking, grinding, and boiling soybeans. Moreover, the advantages of ultrasonic processing over traditional processing like increasing nutrient content, improving gel properties, and inhibiting the activity of microorganisms were explained. Furthermore, the quantification of acoustic fields by real-time monitoring technology was introduced to construct the theoretical correlation between ultrasonic treatments and tofu processing. It was concluded that ultrasonic treatment improved the functional properties of soybean protein, such as solubility, emulsifying properties, foamability, rheological properties, gel strength, and thermal stability. Therefore, the application of ultrasonic technology to traditional tofu processing to optimize industrial parameters is promising.

show abstract

“…Fluorescence excitation emission matrix (EEM) spectroscopy has found many applications in the analysis of, for example, food samples, − machinery fluids, , environmental samples , such as water − and soil, , and even neutrino scintillator liquids . EEM spectroscopy is usually performed by scanning a light sourceusually a broadband lamp coupled to a monochromatorand collecting the fluorescence using either an array detector or a second monochromator and broadband detector.…”

Section: Introductionmentioning

confidence: 99%

Rapid Fluorescence EEM Spectroscopy Using Super-Cycle Hadamard-Transform Multiplexing

Ferguson,

Loock

2023

Anal. Chem.

View full text Add to dashboard Cite

Hadamard-transform (HT) multiplexing has recently been applied to increasingly complex spectroscopic techniques. It had been shown that the data acquisition time for fluorescence excitation emission matrix (EEM) spectroscopy can be reduced by 1 or 2 orders of magnitude using HT multiplexing of the excitation light using a programmable light source. In these previous studies, the data acquisition rate had been limited by the time it took to record an EEM, that is, to complete one cycle of multiplexed excitation spectra. The extraction of chemical information, such as concentration and chemical identity, is then obtained from parallel factor (PARAFAC) analysis of the sequence of EEMs. In this contribution, we increase the data acquisition rate by another order of magnitude, limited ultimately by the time it takes to record a single excitation spectrum. Our algorithm is entirely based on improved data processing, that is, it can be applied to previously recorded HT multiplexed data sets. The algorithm is based on three previously unexplored approaches: (1) we perform a PARAFAC multivariate analysis on the raw (multiplexed) data set, (2) the time-independent PARAFAC loading vectors are obtained prior to obtaining the timedependent score vectors, and (3) when loading vectors are difficult to obtain from the EEMs, we instead use a rolling-average approach to considerably increase the stability of the fit. Analysis of experimental data shows that the scores of fluorescence EEMs with seven excitation wavelengths and over 1000 emission wavelengths can be obtained in less than 20 ms.

show abstract

Prediction of protein and oil contents in soybeans using fluorescence excitation emission matrix

Cited by 22 publications

References 35 publications

Rapid and Solvent-Free Method for the Direct Quantification of Polycyclic Aromatic Hydrocarbons in Refined Maize and Rapeseed Oils

Rapid and Solvent-Free Method for the Direct Quantification of Polycyclic Aromatic Hydrocarbons in Refined Maize and Rapeseed Oils

Application of ultrasound and its real‐time monitoring of the acoustic field during processing of tofu: Parameter optimization, protein modification, and potential mechanism

Rapid Fluorescence EEM Spectroscopy Using Super-Cycle Hadamard-Transform Multiplexing

Contact Info

Product

Resources

About