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| 003 | ES-MaUEC | ||
| 005 | 20230102123131.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221117s2022 si | s |||| 0|eng d | ||
| 020 | _a9789811954221 | ||
| 024 | 7 |
_a10.1007/978-981-19-5422-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aNondestructive Quality Assessment Techniques for Fresh Fruits and Vegetables _cedited by Pankaj B Pathare, Mohammad Shafiur Rahman |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XI, 390 páginas) _b1 illus |
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| 336 |
_atexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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_aarchivo de texto _bPDF |
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| 505 | 0 | _a1. Nondestructive Techniques for Fresh Produce Quality Analysis: An Overview -- 2. Monochrome Computer Vision for Detecting Quality Defects of Fruits and Vegetables -- 3. Imaging Techniques for Evaluation of Ripening and Maturity of Fruits and Vegetables -- 4. Application of Biospeckle Laser Technique for Assessment of Fruit Quality -- 5. Application of Spectroscopy for Assessing Quality and Safety of Fresh Horticultural Produce -- 6. Fourier Transform Infrared Spectroscopy (FTIR) Technique for Food Analysis and Authentication -- 7. Multi/Hyperspectral imaging for mango -- 8. Raman spectroscopy for fresh fruits and vegetables -- 9. NIR Spectroscopy for Internal and External Quality Measurement and Analysis of Thick Rind Fruits -- 10. Near-Infrared Spectroscopy for Pomegranate Quality Measurement and Prediction -- 11. X-ray Computed Tomography (CT) for the Internal Quality Evaluation of Fresh Produce -- 12. Non-Destructive Testing (NDT): Development of a Custom Designed Ultrasonic System for Fruit Quality Evaluation -- 13. Acoustic Emission and Near-Infra Red Imaging Methods for Nondestructive Apple Quality Detection and their Classification -- 14. Chemometrics in nondestructive quality evaluation -- 15. Electronic Nose for Fresh Produce Quality -- 16. Use of Electronic Tongue to Determine Quality and Safety of Fresh Produce. | |
| 520 | _aThis book describes the various techniques for nondestructive quality assessment of fruits and vegetables. It covers the methods, measurements, operation principles, procedures, data analysis, and applications for implementing these techniques. The book presents the details of nondestructive approaches focusing on the present-day trends and existing future opportunities in the fresh food supply chain. First, it overviews different nondestructive techniques in food quality detection. Then it presents nondestructive methods: monochrome computer vision, imaging techniques, biospeckle laser technique, Fourier Transform Infrared (FTIR) Spectroscopy, hyperspectral imaging, Raman spectroscopy, near infrared (NIR) spectroscopy, X-ray computed tomography, ultrasound, acoustic emission, chemometrics, electronic nose and tongue. Selected applications of each method are also introduced. As a result, readers gain a better understanding of how to use nondestructive methods and technologies to detect the quality of fresh fruits and vegetables. With a wide range of interesting topics, the book will benefit readers including postharvest & food scientists/technologists, industry personnel and researchers involved in fresh produce quality detection. The book can also serve as a readily accessible reference material for postgraduate students. | ||
| 700 | 1 |
_aPathare, Pankaj B _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aRahman, Mohammad Shafiur _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811954214 |
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_iPrinted edition: _z9789811954238 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811954245 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-5422-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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| 988 | _aSpringer_BiomedLife_2022 | ||
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_c394443 _d394443 |
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