A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near‐infrared spectroscopy. Issue 5 (14th April 2020)
- Record Type:
- Journal Article
- Title:
- A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near‐infrared spectroscopy. Issue 5 (14th April 2020)
- Main Title:
- A simple and nondestructive approach for the analysis of soluble solid content in citrus by using portable visible to near‐infrared spectroscopy
- Authors:
- Li, Pao
Li, Shangke
Du, Guorong
Jiang, Liwen
Liu, Xia
Ding, Shenghua
Shan, Yang - Abstract:
- Abstract: A simple and nondestructive method for the analysis of soluble solid content in citrus was established using portable visible to near‐infrared spectroscopy (Vis/NIRS) in reflectance mode in combination with appropriate chemometric methods. The spectra were obtained directly by the portable Vis/NIRS without destroying samples. Outlier detection was performed by using leave‐one‐out cross‐validation (LOOCV) with the 3σ criterion, and the calibration models were established by partial least squares (PLS) algorithm. Besides, different data pretreatment methods were used to eliminate noise and background interference before calibration, to determine the one that will lead to better model accuracy. However, the correlation coefficients are all <0.62 and the results of all pretreatments are still unsatisfactory. Variable selection methods were discussed for improving the accuracy, and variable adaptive boosting partial least squares (VABPLS) method was used to get higher robustness models. The results show that standard normal variate (SNV) transformation is the best pretreatment method, while VABPLS can significantly simplify the calculation and improve the result even without pretreatment. The correlation coefficient of the best prediction models is 0.82, while the value is 0.48 for the raw data. The high performance shows the feasibility of portable Vis/NIRS technology combination with appropriate chemometric methods for the determination of citrus soluble solidAbstract: A simple and nondestructive method for the analysis of soluble solid content in citrus was established using portable visible to near‐infrared spectroscopy (Vis/NIRS) in reflectance mode in combination with appropriate chemometric methods. The spectra were obtained directly by the portable Vis/NIRS without destroying samples. Outlier detection was performed by using leave‐one‐out cross‐validation (LOOCV) with the 3σ criterion, and the calibration models were established by partial least squares (PLS) algorithm. Besides, different data pretreatment methods were used to eliminate noise and background interference before calibration, to determine the one that will lead to better model accuracy. However, the correlation coefficients are all <0.62 and the results of all pretreatments are still unsatisfactory. Variable selection methods were discussed for improving the accuracy, and variable adaptive boosting partial least squares (VABPLS) method was used to get higher robustness models. The results show that standard normal variate (SNV) transformation is the best pretreatment method, while VABPLS can significantly simplify the calculation and improve the result even without pretreatment. The correlation coefficient of the best prediction models is 0.82, while the value is 0.48 for the raw data. The high performance shows the feasibility of portable Vis/NIRS technology combination with appropriate chemometric methods for the determination of citrus soluble solid content. Abstract : A simple and nondestructive method for the analysis of citrus sugar content was established using portable visible to near‐infrared spectroscopy in reflectance mode in combination with appropriate chemometric methods. SNV transformation is the best pretreatment method. VABPLS method can significantly simplify the calculation and improve the results even without pretreatment. … (more)
- Is Part Of:
- Food science & nutrition. Volume 8:Issue 5(2020)
- Journal:
- Food science & nutrition
- Issue:
- Volume 8:Issue 5(2020)
- Issue Display:
- Volume 8, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 8
- Issue:
- 5
- Issue Sort Value:
- 2020-0008-0005-0000
- Page Start:
- 2543
- Page End:
- 2552
- Publication Date:
- 2020-04-14
- Subjects:
- chemometric method -- citrus soluble solid content -- nondestructive -- portable visible to near‐infrared spectroscopy -- variable selection
Food industry and trade -- Periodicals
Food -- Periodicals
Nutrition -- Periodicals
664 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2048-7177 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/fsn3.1550 ↗
- Languages:
- English
- ISSNs:
- 2048-7177
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19434.xml