Internal quality determination of fruit with bumpy surface using visible and near infrared spectroscopy and chemometrics: A case study with mulberry fruit

Huang, Lingxia; Wu, Di; HangFeng, Jin; Zhang, Jiukai; He, Yong; Chengfu, Lou

doi:10.1016/j.biosystemseng.2011.05.003

Cited by 25 publications

(19 citation statements)

References 25 publications

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“…The preprocessed data by SNV can reflect more information corresponding to TFC, TAC, FRAP, and DPPH%, whereas the MSC spectra were more appropriate to determine the TPC in Hs powder. This could explain that TPC and other parameters measured were associated to different useful information in the spectra (Huang et al 2011). These preprocessing techniques have advantages in correcting scatter light as presented in Fig.…”

Section: Comparison Of Preprocessing Methodsmentioning

confidence: 96%

Rapid Determination of Antioxidant Compounds and Antioxidant Activity of Sudanese Karkade (Hibiscus sabdariffa L.) Using Near Infrared Spectroscopy

et al. 2015

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The extraction conditions applied in destructive analysis of Hibiscus sabdariffa L. (Hs) matrices before the measurement of antioxidant compounds may reduce their activities during isolation and purification due to decomposition. Hence, near infrared spectroscopic system was applied to determine these compounds. The calibration models developed by using partial least squares regression (PLSR) with 48 Hs samples and 24 unknown samples were used to confirm the robustness of the developed model. The results of calibration models effectively allowed the determination of the concentrations of total phenol content (TPC), total flavonoid content (TFC), total antioxidant content (TAC), ferric reducing antioxidant power (FRAP), and 1,1-diphenyl-2-picrylhydrazyl (DPPH) with high correlation coefficients (0.85-0.91) and small standard error of cross-validation (RMSECV) ranged from 0.08 to 0.33. The prediction capacity (RPD) for TPC, TFC, TAC, FRAP, and DPPH ranged from 3.30 to 8.25, thus demonstrating that the near infrared spectroscopic (NIRS) equations developed were applicable to unknown samples. This study demonstrates that NIRS can be considered as a fast tool for the nondestructive determination of antioxidant compounds (phenolics and flavonoids) and antioxidant activity of the Hs.

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Section: Comparison Of Preprocessing Methodsmentioning

confidence: 96%

Rapid Determination of Antioxidant Compounds and Antioxidant Activity of Sudanese Karkade (Hibiscus sabdariffa L.) Using Near Infrared Spectroscopy

et al. 2015

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“…Fast and nondestructive detection of TSS is needed to assure good quality and taste of all fruit for further processing, and some studies were reported on estimation and prediction of TSS in apple, pear, orange, and plum. For instance, the feasibility of HSI for determining internal quality (TSS and pH) of mulberry was explored by Huang et al (2011). Successive projections algorithm (SPA) was used to select the optimal wavelengths for evaluating TSS and pH.…”

Section: Tssmentioning

confidence: 99%

Recent Advances in the Application of Hyperspectral Imaging for Evaluating Fruit Quality

et al. 2015

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The quality of fruit is a very important measure in determining the market value of the fruit. Good fruit quality provides great potential benefits for antioxidant properties of abundant bioactive compounds such as flavonoids, anthocyanins, polyphenols, and ascorbic acid. Therefore, giving enough attention to fruit quality and its changes is important for assuring high quality of fruits. Hyperspectral imaging (HSI) technique has showed great potential for evaluating quality attributes of fruit due to its nature of simple, continuous noninvasiveness and economy. However, for inherent peculiarity of fruit, some problems arose in the practice of estimating fruit quality by HSI, including focusing, determination of scanning parameters, image processing, data mining, and data analysis. The purpose of this paper is to review the use of HSI in the estimation of physical-chemical attributes, detection of common defects and contaminants, and evaluation of maturity stage of fruit. Remaining problems are also identified, along with suggested solutions and possible future trends in the field.

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“…Furthermore, the curvature of lychee fruit can cause an uneven distribution of light on its surface when it is irradiated by a light source, causing the peripheral area of lychee darker than the central area in the measured hyperspectral image. In addition, as noted by Huang et al (2011), bumpy surface of lychee also makes the nondestructive evaluation of lychee quality by HSI more difficult.…”

Section: Introductionmentioning

confidence: 95%

Rapid detection of anthocyanin content in lychee pericarp during storage using hyperspectral imaging coupled with model fusion

Yang

Sun

et al. 2015

Postharvest Biology and Technology

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Internal quality determination of fruit with bumpy surface using visible and near infrared spectroscopy and chemometrics: A case study with mulberry fruit

Cited by 25 publications

References 25 publications

Rapid Determination of Antioxidant Compounds and Antioxidant Activity of Sudanese Karkade (Hibiscus sabdariffa L.) Using Near Infrared Spectroscopy

Rapid Determination of Antioxidant Compounds and Antioxidant Activity of Sudanese Karkade (Hibiscus sabdariffa L.) Using Near Infrared Spectroscopy

Recent Advances in the Application of Hyperspectral Imaging for Evaluating Fruit Quality

Rapid detection of anthocyanin content in lychee pericarp during storage using hyperspectral imaging coupled with model fusion

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