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首页> 外文期刊>Journal of food engineering >Feasibility In Nirs Instruments For Predicting Internal Quality In Intact Tomato
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Feasibility In Nirs Instruments For Predicting Internal Quality In Intact Tomato

机译：在Nirs仪器中预测完整番茄内部质量的可行性

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Quality control, a major concern in the production of all fresh tomatoes, is particularly important for 'Raf tomatoes, a much-prized variety in Spain whose exquisite flavor commands very high market prices. Soluble solid content (SSC) and titrable acidity (TA), the two internal quality indices most contributing to tomato flavor, have traditionally been measured using destructive techniques, which enable analysis of batches but not of individual items. This study examined the feasibility of using NIRS technology to predict internal quality parameters in individual tomatoes. The results obtained using new-generation diode-array instruments, which can be adapted for 'on-site' and 'on-line' measurements, were compared with those obtained with a traditional, laboratory-based NIRS monochromator. Calibration models were developed using different regions of the spectrum and different signal pretreatments. Tomatoes picked in 2006 (N =180) were used for the initial calibration, which was subsequently enlarged with tomatoes harvested in 2007 (N= 132). The standard error of cross validation (SECV) obtained for the prediction of SSC ranged between 0.55 and 0.74°Brix, whilst SECV values for titrable acidity ranged from 0.06% to 0.1% citric acid; the coefficient of determination (r~2) was between 0.63 and 0.82 for SSC and between 0.41 and 0.71 for TA. The regression models were tested with independent validation samples (N=100); the resulting standard errors of prediction (SEP) and r~2 for the same parameters were (0.68,0.77) and (0.08,0.68), respectively. The results obtained suggest that NIRS can accurately predict tomato internal quality parameters, even in the variety studied, which is highly irregular in shape. Wavelengths above 1700 nm were found to be unnecessary for the applications considered, and the diode-array instrument proved sufficiently accurate.
机译：质量控制是所有新鲜番茄生产中的主要问题，对于'Raf番茄'尤其重要，Raf番茄是西班牙广受好评的品种，其精美的风味要求很高的市场价格。可溶性固体含量（SSC）和可滴定酸度（TA）是影响番茄风味的两个内部质量指标，传统上是使用破坏性技术进行测量的，该技术可以分析批次，但不能分析单个项目。这项研究检验了使用NIRS技术预测单个番茄内部质量参数的可行性。使用适用于“现场”和“在线”测量的新一代二极管阵列仪器获得的结果与传统的基于实验室的NIRS单色仪获得的结果进行了比较。使用频谱的不同区域和不同的信号预处理开发了校准模型。将2006年采摘的西红柿（N = 180）用于初始校准，随后将其扩大以2007年收获的西红柿（N = 132）。预测SSC的交叉验证标准误差（SECV）在0.55至0.74°Brix之间，而可滴定酸度的SECV值在0.06％至0.1％柠檬酸之间。 SSC的测定系数（r〜2）在0.63至0.82之间，TA的测定系数（r〜2）在0.41至0.71之间。回归模型使用独立的验证样本进行了测试（N = 100）；对于相同的参数，预测的标准误差（SEP）和r〜2分别为（0.68,0.77）和（0.08,0.68）。获得的结果表明，即使在所研究的形状高度不规则的品种中，NIRS也可以准确预测番茄的内部质量参数。发现在所考虑的应用中不需要1700 nm以上的波长，并且二极管阵列仪器被证明足够准确。

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