Assessing the Feasibility of a Miniaturized Near-Infrared Spectrometer in Determining Quality Attributes of San Marzano Tomato

被引：23

作者：

Castrignano, Annamaria ^{[1
]}

Buttafuoco, Gabriele ^{[2
]}

Malegori, Cristina ^{[3
]}

Genorini, Emiliano ^{[4
]}

Iorio, Raffaele ^{[5
]}

Stipic, Marija ^{[5
]}

Girone, Giacoma ^{[1
]}

Venezia, Accursio ^{[5
]}

机构：

[1] CREA AA Agr & Environm Res Ctr, Bari, BA, Italy

[2] Natl Res Council Italy, Inst Agr & Forest Syst Mediterranean, Arcavacata Di Rende, CS, Italy

[3] Univ Genoa, Dept Pharm, DIFAR, Viale Cembrano 4, I-16148 Genoa, GE, Italy

[4] Viavi Solut, OSP BU, Via Torri Bianche 10, Vimercate, MB, Italy

[5] CREA OF Res Ctr Vegetable & Ornamental Crops, Pontecagnano, SA, Italy

来源：

FOOD ANALYTICAL METHODS | 2019年 / 12卷 / 07期

关键词：

Precision agriculture; Tomato; Protected Designation of Origin (PDO); Near-infrared spectroscopy; Partial least square regression (PLS); Handheld NIR device; NONDESTRUCTIVE DETERMINATION; VARIABLE SELECTION; NIR; REGRESSION; PRODUCTS; LYCOPENE; FRUIT; SOLIDS; PLS; SPECTROSCOPY;

D O I：

10.1007/s12161-019-01475-x

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

The paper aimed to assess the feasibility of using a miniature near-infrared (NIR) spectrometer to determine quality attributes of tomato fruits. To reach this objective, a total of 300 tomato fruits of San Marzano variety coming from two different fields, cropped under two different regimes (integrated and organic), were collected and analyzed using a handheld spectrometer (MicroNIR 1700 by Viavi Solutions (R) working between 908 and 1650nm). Simultaneously, several quality attributes were determined using reference methods: fresh weight, pH, dry matter, chromatic values, electrical conductivity, titratable acidity, and soluble solid content. Combining the spectra with chemical attributes, it was possible to understand that the best way for acquiring NIR data on tomato fruits is scanning the whole equatorial area, due to fruit heterogeneous internal structure. Moreover, after a proper data pre-processing, accurate predictive models were obtained using partial least square (PLS) regression to estimate physico-chemical properties of tomato in a rapid and non-destructive way. An impact of this comprehensive study is the possibility of determining tomato chemical attributes in real time, leading to a high-quality San Marzano tomato according to the Protected Designation of Origin (PDO) legislation.

引用

页码：1497 / 1510

页数：14

共 41 条

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