- 期刊
- OpenAccess
應用近紅外光於芒果內部品質線上檢測系統之整合研究
Integrated Study of On-Line Inspection System for Internal Quality of Mango Fruits Using Near Infrared Technology
摘要
本研究探用動態資料交換模式(DDE)之程式設計，完成一套以個人電腦為主控之水果線上檢測系統之研製，該系統整合市售之FOSS On-line NIRS 6500線上型分光光度計、輸送機構、人機介面及可程式邏輯控制器等設備。使用愛文芒果進行近紅外光非破壞性帶皮水果反射光譜之量測，並以MLR和MPLSR方法建立預測糖酸度之檢測模式。分析結果指出，本研究研發之線上檢測系統能有效預測愛文芒果之糖酸度，而糖度的預測能力優於酸度，芒果果肉之最佳糖度MPLSR結果為r(下標 c)=0.950，SEC=0.542 °Brix，r(下標 p)=0.915及SEP=0.649 °Brix（一次微分，光譜區間為700~1300nm）；芒果果肉最佳之酸度MPLSR結果為r(下標 c)=0.782，SEC=0.031%，r(下標 p)=0.749，SEP=0.030%（一次微分，光譜區間為500~2100nm）。本研究之成果可作為後續開發商用型線上檢測系統之參考。
並列摘要
An on-line fruit inspection system controlled by a computer with dynamic-data-exchange (DDE) programming has been developed in this study. This system integrated commercial FOSS On-line NIRS 6500 spectrophotometer, conveying mechanism, human-machine interface and programmable logical controller (PLC), which was able to achieve nondestructive NIR reflectance measurements of intact fruits of apple mango. Two statistical methods of MLR and MPLSR were used respectively to build the calibration models for sugar content and acidity. The developed on-line inspection system can successfully predict the sugar content and acidity of intact apple mango, and the prediction ability of the system for sugar content was better than for acidity. The best MPLSR result for sugar content was r(subscript c)=0.950, SEC 0.542 °Brix, r(subscript p)=0.915, and SEP=0.649 °Brix (1(superscript st) derivative, wavelength range was 700 to 1,300 nm); and the best MPLSR result for acidity was r(subscript c)=0.782, SEC=0.031%, r(subscript p)=0.749, and SEP=0.030% (1(superscript st) derivative, wavelength range was 500 to 2,100 nm). The results of this study have an application potential for the development of a commercial on-line fruit inspection system in the future.