Comparison Performance of Visible-NIR and Near-Infrared Hyperspectral Imaging for Prediction of Nutritional Quality of Goji Berry (Lycium barbarum L.)

Fatchurrahman, Danial; Nosrati, Mojtaba; Amodio, María Luisa; Chaudhry, Muhammad Mudassir Arif; Chiara, Maria Lucia Valeria de; Mastrandrea, Leonarda; Colelli, G.

doi:10.3390/foods10071676

Cited by 19 publications

(9 citation statements)

References 46 publications

(71 reference statements)

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“…Meanwhile, the effective wavelengths of TF were almost consistent with former published studies, where 1,100 to 1,140,nm and 1,650 to 1,690 nm corresponded to the first overtone region and second overtone region of –CH 3 from flavonoids, respectively ( Figure 3C ) ( 34 ). Also, the 1,430 to 1,450 nm corresponded to the second overtone region of –CH from polyphenols ( 36 ), and wavelengths intervals of 425–520 and 725–995 nm corresponded to the most abundant phenolic compounds of ferulic acid in RRB ( Figure 3D ) ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

Nutrient content prediction and geographical origin identification of red raspberry fruits by combining hyperspectral imaging with chemometrics

Wang

Zhang²,

Yuan³

et al. 2022

Front. Nutr.

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The geographical origin and the important nutrient contents greatly affect the quality of red raspberry (RRB, Rubus idaeus L.), a popular fruit with various health benefits. In this study, a chemometrics-assisted hyperspectral imaging (HSI) method was developed for predicting the nutrient contents, including pectin polysaccharides (PPS), reducing sugars (RS), total flavonoids (TF) and total phenolics (TP), and identifying the geographical origin of RRB fruits. The results showed that these nutrient contents in RRB fruits had significant differences between regions (P < 0.05) and could be well predicted based on the HSI full or effective wavelengths selected through competitive adaptive reweighted sampling (CARS) and variable iterative space shrinkage approach (VISSA). The best prediction results of PPS, RS, TF, and TP contents were achieved with the highest residual predictive deviation (RPD) values of 3.66, 3.95, 2.85, and 4.85, respectively. The RRB fruits from multi-regions in China were effectively distinguished by using the first derivative-partial least squares discriminant analysis (DER-PLSDA) model, with an accuracy of above 97%. Meanwhile, the fruits from three protected geographical indication (PGI) regions were successfully classified by using the orthogonal partial least squares discrimination analysis (OPLSDA) model, with an accuracy of above 98%. The study results indicate that HSI assisted with chemometrics is a promising method for predicting the important nutrient contents and identifying the geographical origin of red raspberry fruits.

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Section: Discussionmentioning

confidence: 99%

Nutrient content prediction and geographical origin identification of red raspberry fruits by combining hyperspectral imaging with chemometrics

Wang

Zhang²,

Yuan³

et al. 2022

Front. Nutr.

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“…A method introduced by [ 27 ] was used for measuring SSC, TA, and pH. Ten goji berries per replicate were homogenized in Ultra Turrax (T18 basic, IKA, Staufen, Germany) and then filtered with two layers of cheesecloth (SWAB 4040, JC NONSTE, Shanghai, China).…”

Section: Methodsmentioning

confidence: 99%

Quality of Goji Berry Fruit (Lycium barbarum L.) Stored at Different Temperatures

Fatchurrahman

Amodio

Colelli

2022

Foods

Self Cite

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Goji berries are widely known for their outstanding nutritional and medicinal properties; they are usually found in the market as dried fruit or as juice because the fruit has a short shelf-life, and little information is available about its postharvest behavior at low temperatures. This study aimed to determine the storage performance of goji berry fruit by evaluating physicochemical, and sensorial attributes during storage at three different temperatures (0, 5, and 7 °C) for 12 days in a range that has not been extensively studied before. In addition, fruit respiration and ethylene production rates were also measured at the three temperatures. Fruit stored at 0 °C showed the lowest respiration rate and ethylene production (5.8 mg CO2 kg−1h−1 and 0.7 µg C2H4 kg−1h−1, respectively); however, at this temperature, the incidence and severity of pitting and electrolytic leakage were the highest. In contrast, 5 °C was found to be the best storage temperature for goji berry fruit; the fruit appeared fresh and healthy, had the highest scores during sensory analysis with an acceptable general impression, and had the lowest amount of damage attributable to chilling injury, with 17.1% fruit presenting with shriveling, 12.5% pitting, 6.7% mold, and 35% electrolytic leakage on day 9 of storage. Storage of goji berries at 7 °C resulted in the lowest marketability and the highest incidence of decay. Significant differences were also found in the phytochemical attributes, vitamin C content, soluble solid content (SSC), titratable acidity (TA), SSC/TA ratio, total polyphenol content, 2,2-diphenylpicrylhydrazy (DPPH), and anthocyanin content. This study revealed that a storage temperature of 5 °C for 9 days is recommended to maintain the quality of fresh goji berry. Thus, broadening the existing knowledge of the postharvest behavior of fresh goji berries; our results can help improve the commercial life of goji berries and ensure high-quality attributes throughout distribution.

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“…Among them, the closer the coefficient of determination R 2 is to 1, the better the regression or prediction result of the model, and if R 2 is small, it indicates a very poor fit. Smaller RMSECV and RMSEP values indicate a better model effect (Zhang et al 2019;Fatchurrahman et al 2021); RPD is used to verify the stability and predictive ability of the model. The model is good when RPD>2.5, average but usable when RPD is 2 to 2.5, and unusable when RPD<2 (Hao et al 2022).…”

Section: Modeling and Model Evaluation Methodsmentioning

confidence: 99%

Transfer strategy for near infrared analysis model of holocellulose and lignin based on improved slope/bias algorithm

Wang

Xiong

et al. 2022

BioRes

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Model transfer techniques in near infrared spectroscopy are important for avoiding duplicate modeling, sharing samples and data resources, and reducing the human and material consumption required for modeling. Use of the slope/bias correction algorithm (S/B) based on screening wavelengths with consistent and stable signals (SWCSS) for model transfer is a new strategy. To enable sharing of near infrared analysis models of pulp holocellulose and lignin content in two different types of spectroscopic instruments, a combined SWCSS-S/B algorithm was proposed. The stable and consistent wavelengths between the spectroscopic instruments screened by the SWCSS method reduced the differences between the instruments, thereby improving the universality and transmission accuracy of the S/B method. The SWCSS-S/B based model transfer method reduced the predicted standard deviation RMSEP of holocellulose and lignin contents of the samples measured on the target spectrometer of the from 5.4686 and 7.6823 to 1.2133 and 1.3494, respectively. This result showed a significant improvement in the transfer effect compared to the SWCSS and S/B correction results alone, and the prediction of holocellulose was better than that of the prediction effect of lignin. The method has fewer wavelength variables involved in model transfer, fast transfer speed, and high prediction accuracy, which provides a new solution for the wide application of NIR analytical models.

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Comparison Performance of Visible-NIR and Near-Infrared Hyperspectral Imaging for Prediction of Nutritional Quality of Goji Berry (Lycium barbarum L.)

Cited by 19 publications

References 46 publications

Nutrient content prediction and geographical origin identification of red raspberry fruits by combining hyperspectral imaging with chemometrics

Nutrient content prediction and geographical origin identification of red raspberry fruits by combining hyperspectral imaging with chemometrics

Quality of Goji Berry Fruit (Lycium barbarum L.) Stored at Different Temperatures

Transfer strategy for near infrared analysis model of holocellulose and lignin based on improved slope/bias algorithm

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