Near‐infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass
BACKGROUND The demand for protein obtained from animal sources is growing rapidly, as is the necessity for sustainable animal feeds. The use of black soldier fly larvae (BSFL) reared on organic side streams as sustainable animal feed has been receiving attention lately. This study assessed the abili...
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| Veröffentlicht in: | Journal of the science of food and agriculture 2024-02, Vol.104 (3), p.1487-1496 |
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| creator | Alagappan, Shanmugam Hoffman, Louwrens Mikkelsen, Deirdre Mantilla, Sandra Olarte James, Peter Yarger, Olympia Cozzolino, Daniel |
| description | BACKGROUND
The demand for protein obtained from animal sources is growing rapidly, as is the necessity for sustainable animal feeds. The use of black soldier fly larvae (BSFL) reared on organic side streams as sustainable animal feed has been receiving attention lately. This study assessed the ability of near‐infrared spectroscopy (NIRS) combined with chemometrics to evaluate the nutritional profile of BSFL instars (fifth and sixth) and frass obtained from two different diets, namely soy waste and customised bread‐vegetable diet. Partial least squares (PLS) regression with leave one out cross‐validation was used to develop models between the NIR spectral data and the reference analytical methods.
RESULTS
Calibration models with good [coefficient of determination in calibration (Rcal2): 0.90; ratio of performance to deviation (RPD) value: 3.6] and moderate (Rcal2: 0.76; RPD value: 2.1) prediction accuracy was observed for acid detergent fibre (ADF) and total carbon (TC), respectively. However, calibration models with moderate accuracy were observed for the prediction of crude protein (CP) (Rcal2: 0.63; RPD value: 1.4), crude fat (CF) (Rcal2: 0.70; RPD value: 1.6), neutral detergent fibre (NDF) (Rcal2: 0.60; RPD value: 1.6), starch (Rcal2: 0.52; RPD value: 1.4), and sugars (Rcal2: 0.52; RPD value: 1.4) owing to the narrow or uneven distribution of data over the range evaluated.
CONCLUSION
The near‐infrared (NIR) calibration models showed a good to moderate prediction accuracy for the prediction of ADF and TC content for two different BSFL instars and frass reared on two different diets. However, calibration models developed for predicting CP, CF, starch, sugars and NDF resulted in models with limited prediction accuracy. © 2023 Society of Chemical Industry. |
| doi_str_mv | 10.1002/jsfa.13044 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2877379360</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2910135106</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3574-508cf527dc4e69e2def9b1556a842288fffe64bb7f17134b38406f7ec84a7fbc3</originalsourceid><addsrcrecordid>eNp90c1u1DAUBWALUdFpYcMDIEtspkgp_oudLEvVoa1GRWJgHTnONXhw4mAnoBEbHoFn5EnqdgoLFqwsy5_O1fVB6Dklp5QQ9nqbrD6lnAjxCC0oqVVBCCWP0SI_sqKkgh2io5S2hJC6lvIJOuSqYkIJuUA_bkDH3z9_ucFGHaHDaQQzxZBMGHd4eXP1fnOCbYi4D4ObQnTDJzx9BjzMU3STC4P22IR-DOn-hoPFrdfmC07Bdw4itn6HvY7fNODlm81qfYL10OE8LKWn6MBqn-DZw3mMPq4uPpxfFut3b6_Oz9aF4aUSRUkqY0umOiNA1sA6sHVLy1LqSjBWVdZakKJtlaWKctHyShBpFZhKaGVbw4_Rcp87xvB1hjQ1vUsGvNcDhDk1rFKKq5pLkunLf-g2zDEvmVVNCeUlJTKrV3tl8kelCLYZo-t13DWUNHeVNHeVNPeVZPziIXJue-j-0j8dZED34LvzsPtPVHO9WZ3tQ28BAvOXfw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2910135106</pqid></control><display><type>article</type><title>Near‐infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><creator>Alagappan, Shanmugam ; Hoffman, Louwrens ; Mikkelsen, Deirdre ; Mantilla, Sandra Olarte ; James, Peter ; Yarger, Olympia ; Cozzolino, Daniel</creator><creatorcontrib>Alagappan, Shanmugam ; Hoffman, Louwrens ; Mikkelsen, Deirdre ; Mantilla, Sandra Olarte ; James, Peter ; Yarger, Olympia ; Cozzolino, Daniel</creatorcontrib><description>BACKGROUND
The demand for protein obtained from animal sources is growing rapidly, as is the necessity for sustainable animal feeds. The use of black soldier fly larvae (BSFL) reared on organic side streams as sustainable animal feed has been receiving attention lately. This study assessed the ability of near‐infrared spectroscopy (NIRS) combined with chemometrics to evaluate the nutritional profile of BSFL instars (fifth and sixth) and frass obtained from two different diets, namely soy waste and customised bread‐vegetable diet. Partial least squares (PLS) regression with leave one out cross‐validation was used to develop models between the NIR spectral data and the reference analytical methods.
RESULTS
Calibration models with good [coefficient of determination in calibration (Rcal2): 0.90; ratio of performance to deviation (RPD) value: 3.6] and moderate (Rcal2: 0.76; RPD value: 2.1) prediction accuracy was observed for acid detergent fibre (ADF) and total carbon (TC), respectively. However, calibration models with moderate accuracy were observed for the prediction of crude protein (CP) (Rcal2: 0.63; RPD value: 1.4), crude fat (CF) (Rcal2: 0.70; RPD value: 1.6), neutral detergent fibre (NDF) (Rcal2: 0.60; RPD value: 1.6), starch (Rcal2: 0.52; RPD value: 1.4), and sugars (Rcal2: 0.52; RPD value: 1.4) owing to the narrow or uneven distribution of data over the range evaluated.
CONCLUSION
The near‐infrared (NIR) calibration models showed a good to moderate prediction accuracy for the prediction of ADF and TC content for two different BSFL instars and frass reared on two different diets. However, calibration models developed for predicting CP, CF, starch, sugars and NDF resulted in models with limited prediction accuracy. © 2023 Society of Chemical Industry.</description><identifier>ISSN: 0022-5142</identifier><identifier>EISSN: 1097-0010</identifier><identifier>DOI: 10.1002/jsfa.13044</identifier><identifier>PMID: 37824746</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Accuracy ; Animal feed ; Animal Feed - analysis ; Animals ; black soldier fly larvae ; Calibration ; Detergents ; Developmental stages ; Diet ; Diptera ; Feeds ; food waste ; Hermetia illucens ; Infrared spectroscopy ; Instars ; Larva ; Larvae ; Near infrared radiation ; NIR spectroscopy ; nutritional composition ; Predictions ; Proteins ; proximate analysis ; Spectroscopy, Near-Infrared - methods ; Spectrum analysis ; Starch ; stockfeed ; Sugar ; Sugars</subject><ispartof>Journal of the science of food and agriculture, 2024-02, Vol.104 (3), p.1487-1496</ispartof><rights>2023 Society of Chemical Industry.</rights><rights>Copyright © 2024 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3574-508cf527dc4e69e2def9b1556a842288fffe64bb7f17134b38406f7ec84a7fbc3</citedby><cites>FETCH-LOGICAL-c3574-508cf527dc4e69e2def9b1556a842288fffe64bb7f17134b38406f7ec84a7fbc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjsfa.13044$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjsfa.13044$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37824746$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alagappan, Shanmugam</creatorcontrib><creatorcontrib>Hoffman, Louwrens</creatorcontrib><creatorcontrib>Mikkelsen, Deirdre</creatorcontrib><creatorcontrib>Mantilla, Sandra Olarte</creatorcontrib><creatorcontrib>James, Peter</creatorcontrib><creatorcontrib>Yarger, Olympia</creatorcontrib><creatorcontrib>Cozzolino, Daniel</creatorcontrib><title>Near‐infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass</title><title>Journal of the science of food and agriculture</title><addtitle>J Sci Food Agric</addtitle><description>BACKGROUND
The demand for protein obtained from animal sources is growing rapidly, as is the necessity for sustainable animal feeds. The use of black soldier fly larvae (BSFL) reared on organic side streams as sustainable animal feed has been receiving attention lately. This study assessed the ability of near‐infrared spectroscopy (NIRS) combined with chemometrics to evaluate the nutritional profile of BSFL instars (fifth and sixth) and frass obtained from two different diets, namely soy waste and customised bread‐vegetable diet. Partial least squares (PLS) regression with leave one out cross‐validation was used to develop models between the NIR spectral data and the reference analytical methods.
RESULTS
Calibration models with good [coefficient of determination in calibration (Rcal2): 0.90; ratio of performance to deviation (RPD) value: 3.6] and moderate (Rcal2: 0.76; RPD value: 2.1) prediction accuracy was observed for acid detergent fibre (ADF) and total carbon (TC), respectively. However, calibration models with moderate accuracy were observed for the prediction of crude protein (CP) (Rcal2: 0.63; RPD value: 1.4), crude fat (CF) (Rcal2: 0.70; RPD value: 1.6), neutral detergent fibre (NDF) (Rcal2: 0.60; RPD value: 1.6), starch (Rcal2: 0.52; RPD value: 1.4), and sugars (Rcal2: 0.52; RPD value: 1.4) owing to the narrow or uneven distribution of data over the range evaluated.
CONCLUSION
The near‐infrared (NIR) calibration models showed a good to moderate prediction accuracy for the prediction of ADF and TC content for two different BSFL instars and frass reared on two different diets. However, calibration models developed for predicting CP, CF, starch, sugars and NDF resulted in models with limited prediction accuracy. © 2023 Society of Chemical Industry.</description><subject>Accuracy</subject><subject>Animal feed</subject><subject>Animal Feed - analysis</subject><subject>Animals</subject><subject>black soldier fly larvae</subject><subject>Calibration</subject><subject>Detergents</subject><subject>Developmental stages</subject><subject>Diet</subject><subject>Diptera</subject><subject>Feeds</subject><subject>food waste</subject><subject>Hermetia illucens</subject><subject>Infrared spectroscopy</subject><subject>Instars</subject><subject>Larva</subject><subject>Larvae</subject><subject>Near infrared radiation</subject><subject>NIR spectroscopy</subject><subject>nutritional composition</subject><subject>Predictions</subject><subject>Proteins</subject><subject>proximate analysis</subject><subject>Spectroscopy, Near-Infrared - methods</subject><subject>Spectrum analysis</subject><subject>Starch</subject><subject>stockfeed</subject><subject>Sugar</subject><subject>Sugars</subject><issn>0022-5142</issn><issn>1097-0010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90c1u1DAUBWALUdFpYcMDIEtspkgp_oudLEvVoa1GRWJgHTnONXhw4mAnoBEbHoFn5EnqdgoLFqwsy5_O1fVB6Dklp5QQ9nqbrD6lnAjxCC0oqVVBCCWP0SI_sqKkgh2io5S2hJC6lvIJOuSqYkIJuUA_bkDH3z9_ucFGHaHDaQQzxZBMGHd4eXP1fnOCbYi4D4ObQnTDJzx9BjzMU3STC4P22IR-DOn-hoPFrdfmC07Bdw4itn6HvY7fNODlm81qfYL10OE8LKWn6MBqn-DZw3mMPq4uPpxfFut3b6_Oz9aF4aUSRUkqY0umOiNA1sA6sHVLy1LqSjBWVdZakKJtlaWKctHyShBpFZhKaGVbw4_Rcp87xvB1hjQ1vUsGvNcDhDk1rFKKq5pLkunLf-g2zDEvmVVNCeUlJTKrV3tl8kelCLYZo-t13DWUNHeVNHeVNPeVZPziIXJue-j-0j8dZED34LvzsPtPVHO9WZ3tQ28BAvOXfw</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Alagappan, Shanmugam</creator><creator>Hoffman, Louwrens</creator><creator>Mikkelsen, Deirdre</creator><creator>Mantilla, Sandra Olarte</creator><creator>James, Peter</creator><creator>Yarger, Olympia</creator><creator>Cozzolino, Daniel</creator><general>John Wiley & Sons, Ltd</general><general>John Wiley and Sons, Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QL</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7T5</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>202402</creationdate><title>Near‐infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass</title><author>Alagappan, Shanmugam ; 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The demand for protein obtained from animal sources is growing rapidly, as is the necessity for sustainable animal feeds. The use of black soldier fly larvae (BSFL) reared on organic side streams as sustainable animal feed has been receiving attention lately. This study assessed the ability of near‐infrared spectroscopy (NIRS) combined with chemometrics to evaluate the nutritional profile of BSFL instars (fifth and sixth) and frass obtained from two different diets, namely soy waste and customised bread‐vegetable diet. Partial least squares (PLS) regression with leave one out cross‐validation was used to develop models between the NIR spectral data and the reference analytical methods.
RESULTS
Calibration models with good [coefficient of determination in calibration (Rcal2): 0.90; ratio of performance to deviation (RPD) value: 3.6] and moderate (Rcal2: 0.76; RPD value: 2.1) prediction accuracy was observed for acid detergent fibre (ADF) and total carbon (TC), respectively. However, calibration models with moderate accuracy were observed for the prediction of crude protein (CP) (Rcal2: 0.63; RPD value: 1.4), crude fat (CF) (Rcal2: 0.70; RPD value: 1.6), neutral detergent fibre (NDF) (Rcal2: 0.60; RPD value: 1.6), starch (Rcal2: 0.52; RPD value: 1.4), and sugars (Rcal2: 0.52; RPD value: 1.4) owing to the narrow or uneven distribution of data over the range evaluated.
CONCLUSION
The near‐infrared (NIR) calibration models showed a good to moderate prediction accuracy for the prediction of ADF and TC content for two different BSFL instars and frass reared on two different diets. However, calibration models developed for predicting CP, CF, starch, sugars and NDF resulted in models with limited prediction accuracy. © 2023 Society of Chemical Industry.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><pmid>37824746</pmid><doi>10.1002/jsfa.13044</doi><tpages>10</tpages></addata></record> |
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| source | MEDLINE; Wiley Online Library All Journals |
| subjects | Accuracy Animal feed Animal Feed - analysis Animals black soldier fly larvae Calibration Detergents Developmental stages Diet Diptera Feeds food waste Hermetia illucens Infrared spectroscopy Instars Larva Larvae Near infrared radiation NIR spectroscopy nutritional composition Predictions Proteins proximate analysis Spectroscopy, Near-Infrared - methods Spectrum analysis Starch stockfeed Sugar Sugars |
| title | Near‐infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass |
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