Instrumental evaluation tools for fruit quality monitoring are important in the production and postharvest processes as well as in marketing. In the present study, near-infrared spectroscopy (600-1,100 nm) was applied to study the correlation with fruit soluble solid content (SSC ), fruit flesh firmness and water content of apples (cv. "Fuji"). Genetic algorithm and correlation coefficient (r) method were used to select the most sensitive wavelength combinations, and partial least squares regression analysis was applied to calibrate fruit quality parameter. The validation of models based on the most sensitive wavelengths gave good predictions with an r value of 0.94 and a standard error of cross validation (SECV) of 0.85 degrees Brix for SSC; r = 0.89 and SECV = 7.54 N/cm(2) for firmness; and r = 0.96 and SECV = 0.92% for water content. The reduced data set of sensitive wavelengths were found feasible for predicting internal fruit quality.
机构:
China Pharmaceut Univ, Dept Organ Chem, Nanjing 210009, Jiangsu, Peoples R China
China Pharmaceut Univ, Ctr Instrumental Anal, Nanjing 210009, Jiangsu, Peoples R ChinaChina Pharmaceut Univ, Dept Organ Chem, Nanjing 210009, Jiangsu, Peoples R China
Dong, Ying
Xiang, Bingren
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China Pharmaceut Univ, Ctr Instrumental Anal, Nanjing 210009, Jiangsu, Peoples R ChinaChina Pharmaceut Univ, Dept Organ Chem, Nanjing 210009, Jiangsu, Peoples R China
Xiang, Bingren
Geng, Ying
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Natl Inst Food & Drug Control, Inst Chem Drug Control, Div Chem Drug, Beijing 100050, Peoples R ChinaChina Pharmaceut Univ, Dept Organ Chem, Nanjing 210009, Jiangsu, Peoples R China
Geng, Ying
Yuan, Wenbo
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Wuxi 4 Peoples Hosp, Dept Pharmaceut Affairs, Wuxi 214000, Peoples R ChinaChina Pharmaceut Univ, Dept Organ Chem, Nanjing 210009, Jiangsu, Peoples R China