1
|
Hu D, Jia T, Sun X, Zhou T, Huang Y, Sun Z, Zhang C, Sun T, Zhou G. Applications of optical property measurement for quality evaluation of agri-food products: a review. Crit Rev Food Sci Nutr 2023:1-21. [PMID: 37691446 DOI: 10.1080/10408398.2023.2255260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Spectroscopic techniques coupled with chemometric approaches have been widely used for quality evaluation of agricultural and food (agri-food) products due to the nondestructive, simple, fast, and easy characters. However, these techniques face the issues or challenges of relatively weak robustness, generalizability, and applicability in modeling and prediction because they measure the aggregate amount of light interaction with tissues, resulting in the combined effect of absorption and scattering of photons. Optical property measurement could separate absorption from scattering, providing new insights into more reliable prediction performance in quality evaluation, which is attracting increasing attention. In this review, a brief overview of the currently popular measurement techniques, in terms of light transfer principles and data analysis algorithms, is first presented. Then, the emphases are put on the recent advances of these techniques for measuring optical properties of agri-food products since 2000. Corresponding applications on qualitative and quantitative analyses of quality evaluation, as well as light transfer simulations within tissues, were reviewed. Furthermore, the leading groups working on optical property measurement worldwide are highlighted, which is the first summary to the best of our knowledge. Finally, challenges for optical property measurement are discussed, and some viewpoints on future research directions are also given.
Collapse
Affiliation(s)
- Dong Hu
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Tianze Jia
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Xiaolin Sun
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Tongtong Zhou
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Yuping Huang
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China
| | - Zhizhong Sun
- College of Chemistry and Materials Engineering, Zhejiang A&F University, Hangzhou, China
| | - Chang Zhang
- Office of Educational Administration, Zhejiang A&F University, Hangzhou, China
| | - Tong Sun
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| | - Guoquan Zhou
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou, China
| |
Collapse
|
2
|
Si W, Xiong J, Huang Y, Jiang X, Hu D. Quality Assessment of Fruits and Vegetables Based on Spatially Resolved Spectroscopy: A Review. Foods 2022; 11:foods11091198. [PMID: 35563921 PMCID: PMC9104625 DOI: 10.3390/foods11091198] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/11/2022] [Accepted: 04/19/2022] [Indexed: 01/15/2023] Open
Abstract
Damage occurs easily and is difficult to find inside fruits and vegetables during transportation or storage, which not only brings losses to fruit and vegetable distributors, but also reduces the satisfaction of consumers. Spatially resolved spectroscopy (SRS) is able to detect the quality attributes of fruits and vegetables at different depths, which is of great significance to the quality classification and defect detection of horticultural products. This paper is aimed at reviewing the applications of spatially resolved spectroscopy for measuring the quality attributes of fruits and vegetables in detail. The principle of light transfer in biological tissues, diffusion approximation theory and methodologies are introduced, and different configuration designs for spatially resolved spectroscopy are compared and analyzed. Besides, spatially resolved spectroscopy applications based on two aspects for assessing the quality of fruits and vegetables are summarized. Finally, the problems encountered in previous studies are discussed, and future development trends are presented. It can be concluded that spatially resolved spectroscopy demonstrates great application potential in the field of fruit and vegetable quality attribute evaluation. However, due to the limitation of equipment configurations and data processing speed, the application of spatially resolved spectroscopy in real-time online detection is still a challenge.
Collapse
Affiliation(s)
- Wan Si
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
| | - Jie Xiong
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
| | - Yuping Huang
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
- Correspondence:
| | - Xuesong Jiang
- College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China; (W.S.); (J.X.); (X.J.)
| | - Dong Hu
- College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China;
| |
Collapse
|
3
|
Hu D, Sun T, Yao L, Yang Z, Wang A, Ying Y. Monte Carlo: A flexible and accurate technique for modeling light transport in food and agricultural products. Trends Food Sci Technol 2020. [DOI: 10.1016/j.tifs.2020.05.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
4
|
Hu D, Lu R, Ying Y. Spatial-frequency domain imaging coupled with frequency optimization for estimating optical properties of two-layered food and agricultural products. J FOOD ENG 2020. [DOI: 10.1016/j.jfoodeng.2020.109909] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
5
|
Hu D, Lu R, Ying Y, Fu X. A stepwise method for estimating optical properties of two-layer turbid media from spatial-frequency domain reflectance. OPTICS EXPRESS 2019; 27:1124-1141. [PMID: 30696182 DOI: 10.1364/oe.27.001124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 12/23/2018] [Indexed: 06/09/2023]
Abstract
This research was conducted to estimate the optical absorption and reduced scattering coefficients of two-layer turbid media using a stepwise method from the spatial-frequency domain reflectance generated by Monte Carlo (MC) simulation. The stepwise method's feasibility for optical property estimations was first investigated by comparing the reflectance generated by the diffusion model and MC simulation for one-layer and two-layer turbid media. The results showed that, with proper frequency selection, the one-layer model could be used for estimating the optical properties of the first layer of the two-layer turbid media. A sample-based calibration method was proposed for calibrating discrepancies of the reflectance between the diffusion model and MC simulation. This significantly improved the parameter estimation accuracy. Results showed that the stepwise method's parameter estimation efficacy and accuracy were much better than that for the one-step method. This was especially true when estimating the absorption coefficient. Absolute error contour maps were generated in order to determine the constraining conditions for the first-layer thickness. It was found that, when each layer's optical properties are within the range of 0.005 mm-1 ≤ μa ≤ 0.04 mm-1 and 0.69 mm-1 ≤ μs'≤ 2.2 mm-1, the first-layer's minimum thickness-for which the first layer's optical properties could be accurately estimated-could be as small as 0.2 mm. Further, the first layer's maximum thickness could not exceed 2.0 mm, in order to have acceptable estimations of the optical properties of the second layer.
Collapse
|