MARC details
| 000 -LEADER |
|---|
| fixed length control field |
00595nab|a22002177a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
63473 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20210312225659.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
200910s2020||||xxu|||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
0737-3937 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1532-2300 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1080/07373937.2019.1593192 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MX-TxCIM |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Wen-Hao Su |
| 9 (RLIN) |
19044 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Chemometric determination of time series moisture in both potato and sweet potato tubers during hot air and microwave drying using near/mid-infrared (NIR/MIR) hyperspectral techniques |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
USA : |
| Name of publisher, distributor, etc. |
Taylor and Francis, |
| Date of publication, distribution, etc. |
2020. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Near-infrared (NIR) and mid-infrared (MIR) hyperspectral techniques in tandem with chemometric analyses were employed for developing multispectral real-time systems allowing the food industry to monitor moisture content (MC) in tubers including various potato and sweet potato products during drying. Multivariate models were established by partial least-squares regression (PLSR), support vector machine regression (SVMR), locally weighted partial least square regression (LWPLSR), and back propagation artificial neural network (BPANN) using full spectral ranges of 10372–6105 cm−1 (Spectral Set I), 3996–600 cm−1 (Spectral Set II), and 1700–900 cm−1 (Spectral Set III). The LWPLSR from Spectral Set I and BPANN from Spectral Set II and III, obtained the highest accuracies for tuber MC prediction. Then, both regression coefficient (RC) and successive projection algorithm (SPA) were respectively used for the selection of feature wavelengths in Spectral Set I, II and III. Instead of choosing many groups of characteristic variables for different varieties of potatoes and sweet potatoes, one set of feature variables for all tubers was selected from each spectral region for the convenience of industrial application. Eventually, six sets of feature wavelengths chosen from Spectral Set I, II and III were used to optimize models. The simplified SPA-LWPLSR from Spectral Set II and SPA-BPANN from Spectral Set III acquired good model performances for the tuber MC prediction, with determination coefficients in prediction (R2P) of 0.950 and 0.904, respectively. The RC-BPANN model from Spectral Set I achieved the highest R2P of 0.965. Such accuracies were comparable to that of full spectral models. The results reveal that hyperspectral techniques have great potential in the food industry for real-time measurement of tuber MC. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
4070 |
| Topical term or geographic name as entry element |
Spectral analysis |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
13621 |
| Topical term or geographic name as entry element |
Drying |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
12723 |
| Topical term or geographic name as entry element |
Moisture content |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
19045 |
| Personal name |
Bakalis, S. |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
19046 |
| Personal name |
Da-Wen Sun |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Drying Technology |
| Related parts |
v. 38, no. 5-6, p. 806-823 |
| Place, publisher, and date of publication |
USA : Taylor and Francis, 2020. |
| International Standard Serial Number |
0737-3937 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |