研究目的
To test the possibility of applying vis/NIR technology in a modern citrus-processing plant to assess the damage that the fruits eventually suffer when they are processed on an industrial scale and the evolution of their key quality parameters in a period of 10 days after harvest.
研究成果
The vis/NIR technology can be applied to estimate pH and SSC values of 'Tardivo di Ciaculli' mandarin with high accuracy (93% variability explained), but it is insufficient for firmness estimation near harvest. Significant differences were found in SSC values between harvest and subsequent processing points, and over time. Further research should focus on recalibration for firmness and exploring other texture indicators.
研究不足
The vis/NIR device showed poor ability to detect firmness at time points closer to harvest and in early processing stages. Recalibration may be needed for firmness estimation. The study is limited to one type of mandarin and specific processing conditions.
1：Experimental Design and Method Selection:
The study used a factorial design to evaluate changes in firmness, pH, and SSC of mandarins at different sampling points and time points after harvest. Multivariate linear regression and ANOVA were employed for data analysis.
2：Sample Selection and Data Sources:
A total of 1800 'Tardivo di Ciaculli' mandarins were analyzed, with samples taken at four points in the processing plant (A: after harvest, B: after unloading, C: after manual selection, D: after electronic sizer) and at five time points (48, 96, 144, 192, 240 hours after harvest). Fruits were stored at 10°C and 70% relative humidity.
3：List of Experimental Equipment and Materials:
Portable vis/NIR device (NCS001, Sacmi), mechanical dynamometer (DPS 5R, Imada), electronic stand (MX2-500N-L, Imada), portable pH meter (MM40, Crison Instruments), portable refractometer (MR32ATC, Milwaukee Instruments), Teflon disk for optical reference.
4：Experimental Procedures and Operational Workflow:
Spectral acquisitions were performed using the vis/NIR device on each fruit, with two acquisitions per fruit. Destructive tests measured firmness, pH, and SSC. Data were collected and analyzed using statistical methods.
5：Data Analysis Methods:
Multivariate linear regression for calibration, ANOVA for significance testing, and t-tests for correlation coefficients. Software included NCS software package for the vis/NIR device and statistical analysis tools.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
